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This thesis report provides a comprehensive analysis of the regulatory landscape governing Battery Energy Storage Systems (BESS) in Spain and offers insights into their operational optimization and economic viability. The study centers on a 40 MW BESS and explores three distinct case studies, each representing varying system durations (one, two, and four hours) and two different electricity price scenarios (2019 and 2022). A techno-economic analysis encompassing all scenarios concludes the investigation. The research findings reveal that BESS projects can be financially lucrative when operating under the 2022 scenario, particularly when participating in Spain's Wholesale and Secondary Regulation service (aFRR) markets. Notably, as the system duration increases, project profitability also rises, with Net Present Values (NPVs) amounting to 29.6 M€, 50.4 M€, and 80.6 M€ for one-hour, two-hour, and four-hour BESS durations, respectively. However, this trend is not consistent, as observed in the 2019 scenario, where the opposite holds true due to significantly lower prices in both Wholesale and Secondary Regulation service markets, resulting in negative NPVs that increase with longer BESS durations (specifically, -3.3 M€, -6.9 M€, and -17.7 M€ for one-hour, two-hour, and four-hour BESS durations, respectively). In terms of optimal dispatching strategy, the study identifies consistent patterns across all case studies and scenarios. The BESS prioritizes participation in the Secondary Regulation service due to its higher remuneration compared to arbitrage activities in the Wholesale market. Despite Spain's efforts to promote the adoption of BESS technologies, several barriers exist that could impede their deployment. Key challenges include the absence of Capacity Markets (CM), restrictions on BESS participation in technical constraints and black-start markets, and the lack of remunerated markets for Frequency Control Reserve (FCR) and voltage control. In summary, this study highlights the need for a more investor-friendly environment characterized by greater revenue stream certainty and streamlined administrative processes. / Denna avhandling ger en omfattande analys av den reglerande landskapskontexten som styr batterilagringssystem (BESS) i Spanien och ger insikter om deras drifts- och ekonomiska livskraft. Studien fokuserar på en 40 MW BESS och utforskar tre olika fallstudier, var och en representerar varierande systemtider (en, två och fyra timmar) och två olika elprisscenarier (2019 och 2022). En teknisk-ekonomisk analys som omfattar alla scenarier avslutar undersökningen. Forskningsresultaten visar att BESS-projekt kan vara ekonomiskt lönsamma när de verkar enligt 2022-scenariot, särskilt när de deltar i Spaniens grossist- och sekundärregleringstjänst (aFRR) marknader. Inte minst ökar lönsamheten i projektet när systemtiden förlängs, med nuvärdet (NPV) uppgår till 29,6 M€, 50,4 M€ och 80,6 M€ för BESS-varaktigheter på en timme, två timmar respektive fyra timmar. Denna trend är dock inte konsekvent, som observerats i 2019-scenariot, där motsatsen gäller på grund av betydligt lägre priser både på grossist- och sekundärregleringsmarknaderna, vilket resulterar i negativa NPV-värden som ökar med längre BESS-varaktigheter (specifikt -3,3 M€, -6,9 M€ och -17,7 M€ för BESS-varaktigheter på en timme, två timmar respektive fyra timmar). När det gäller optimal distributionsstrategi identifierar studien liknande mönster i alla fallstudier och scenarier. BESS prioriterar deltagande i sekundärregleringstjänsten på grund av dess högre ersättning jämfört med arbitrageaktiviteter på grossistmarknaden. Trots Spaniens ansträngningar att främja antagandet av BESS-teknologier finns det flera hinder som kan hämma deras utrullning. Viktiga utmaningar inkluderar frånvaron av kapacitetsmarknader (CM), begränsningar för BESS-deltagande i tekniska begränsningar och svartstartmarknader, samt avsaknaden av marknader med ersättning för frekvensreglering (FCR) och spänningsreglering. Sammanfattningsvis belyser denna studie behovet av en mer investerarvänlig miljö präglad av större säkerhet i intäktsströmmar och förenklade administrativa processer.

Combined Cooling, Heating, and Power (CHP) systems have been widely recognized as a key alternative for electric and thermal energy generation because of their outstanding energy efficiency, reduced environmental emissions, and relative independence from centralized power grids. The systems provide simultaneous onsite or near-site electric and thermal energy generation in a single, integrated package. As CHP becomes increasingly popular worldwide and its total capacity increases rapidly, the research on the topics of CHP performance assessment, design, and operational strategy become increasingly important. Following this trend of research activities to improve energy efficiency, environmental emissions, and operational cost, this dissertation focuses on the following aspects: (a) performance evaluation of a CHP system using a transient simulation model; (b) development of a dynamic simulation model of a power generation unit that can be effectively used in transient simulations of CHP systems; (c) investigation of real-time operation of CHP systems based on optimization with respect to operational cost, primary energy consumption, and carbon dioxide emissions; and (d) development of optimal supervisory feedorward control that can provide realistic real-time operation of CHP systems with electric and thermal energy storages using short-term weather forecasting. The results from a transient simulation of a CHP system show that technical and economical performance can be readily evaluated using the transient model and that the design, component selection, and control of a CHP system can be improved using this model. The results from the case studies using optimal real-time operation strategies demonstrate that CHP systems with an energy dispatch algorithm have the potential to yield savings in operational cost, primary energy consumption, and carbon dioxide emissions with respect to a conventional HVAC system. Finally, the results from the case study using a supervisory feedorward control system illustrate that optimal realistic real-time operation of CHP systems with electric and thermal energy storages can be managed by this optimal control using weather forecasting information.

Thermal energy storage systems as an integral part of concentrated solar power plants improve the performance of the system by mitigating the mismatch between the energy supply and the energy demand. Using a phase change material (PCM) to store energy increases the energy density, hence, reduces the size and cost of the system. However, the performance is limited by the low thermal conductivity of the PCM, which decreases the heat transfer rate between the heat source and PCM, which therefore prolongs the melting, or solidification process, and results in overheating the interface wall. To address this issue, heat pipes are embedded in the PCM to enhance the heat transfer from the receiver to the PCM, and from the PCM to the heat sink during charging and discharging processes, respectively. In the current study, the thermal-fluid phenomenon inside a heat pipe was investigated. The heat pipe network is specifically configured to be implemented in a thermal energy storage unit for a concentrated solar power system. The configuration allows for simultaneous power generation and energy storage for later use. The network is composed of a main heat pipe and an array of secondary heat pipes. The primary heat pipe has a disk-shaped evaporator and a disk-shaped condenser, which are connected via an adiabatic section. The secondary heat pipes are attached to the condenser of the primary heat pipe and they are surrounded by PCM. The other side of the condenser is connected to a heat engine and serves as its heat acceptor. The applied thermal energy to the disk-shaped evaporator changes the phase of working fluid in the wick structure from liquid to vapor. The vapor pressure drives it through the adiabatic section to the condenser where the vapor condenses and releases its heat to a heat engine. It should be noted that the condensed working fluid is returned to the evaporator by the capillary forces of the wick. The extra heat is then delivered to the phase change material through the secondary heat pipes. During the discharging process, secondary heat pipes serve as evaporators and transfer the stored energy to the heat engine. Due to the different geometry of the heat pipe network, a new numerical procedure was developed. The model is axisymmetric and accounts for the compressible vapor flow in the vapor chamber as well as heat conduction in the wall and wick regions. Because of the large expansion ratio from the adiabatic section to the primary condenser, the vapor flow leaving the adiabatic pipe section of the primary heat pipe to the disk-shaped condenser behaves similarly to a confined jet impingement. Therefore, the condensation is not uniform over the main condenser. The feature that makes the numerical procedure distinguished from other available techniques is its ability to simulate non-uniform condensation of the working fluid in the condenser section. The vapor jet impingement on the condenser surface along with condensation is modeled by attaching a porous layer adjacent to the condenser wall. This porous layer acts as a wall, lets the vapor flow to impinge on it, and spread out radially while it allows mass transfer through it. The heat rejection via the vapor condensation is estimated from the mass flux by energy balance at the vapor-liquid interface. This method of simulating heat pipe is proposed and developed in the current work for the first time. Laboratory cylindrical and complex heat pipes and an experimental test rig were designed and fabricated. The measured data from cylindrical heat pipe were used to evaluate the accuracy of the numerical results. The effects of the operating conditions of the heat pipe, heat input, and portion of heat transferred to the phase change material, main condenser geometry, primary heat pipe adiabatic radius and its location as well as secondary heat pipe configurations have been investigated on heat pipe performance. The results showed that in the case with a tubular adiabatic section in the center, the complex interaction of convective and viscous forces in the main condenser chamber, caused several recirculation zones to form in this region, which made the performance of the heat pipe convoluted. The recirculation zone shapes and locations affected by the geometrical features and the heat input, play an important role in the condenser temperature distributions. The temperature distributions of the primary condenser and secondary heat pipe highly depend on the secondary heat pipe configurations and main condenser spacing, especially for the cases with higher heat inputs and higher percentages of heat transfer to the PCM via secondary heat pipes. It was found that changing the entrance shape of the primary condenser and the secondary heat pipes as well as the location and quantity of the secondary heat pipes does not diminish the recirculation zone effects. It was also concluded that changing the location of the adiabatic section reduces the jetting effect of the vapor flow and curtails the recirculation zones, leading to higher average temperature in the main condenser and secondary heat pipes. The experimental results of the conventional heat pipe are presented, however the data for the heat pipe network is not included in this dissertation. The results obtained from the experimental analyses revealed that for the transient operation, as the heat input to the system increases and the conditions at the condenser remains constant, the heat pipe operating temperature increases until it reaches another steady state condition. In addition, the effects of the working fluid and the inclination angle were studied on the performance of a heat pipe. The results showed that in gravity-assisted orientations, the inclination angle has negligible effect on the performance of the heat pipe. However, for gravity-opposed orientations, as the inclination angle increases, the temperature difference between the evaporator and condensation increases which results in higher thermal resistance. It was also found that if the heat pipe is under-filled with the working fluid, the capillary limit of the heat pipe decreases dramatically. However, overfilling of the heat pipe with working fluid degrades the heat pipe performance due to interfering with the evaporation-condensation mechanism. / Mechanical Engineering

Concerns with emissions, CO2 in particular, and energy resource associated with conventional internal combustion engine (ICE) vehicles is motivating a shift towards more electrified power-trains for road transportation, as well as other transportation applications. The modelling, characterization and design of electrified power-trains, including energy storage technologies, traction machine technologies and their associated power electronics, are discussed in this thesis. Port cranes are a special case of land transportation encompassing many of the power-train objectives found common with road based hybrid electric vehicles; here a port crane system is studied. The power flow for a typical crane loading cycle is analyzed and the value of the energy consumption and saving potential is calculated. Then alternative energy storage applications are considered for hybrid power-train configurations employing diesel engine generators, battery packs, supercapacitors (SCs), and flywheels. A hybrid rubber tyred gantry crane (RTGC) power-train model with power management is developed and the battery-SC hybrid energy storage systems are designed for both short- and long-period operation. The Induction machine (IM) is a popular technology for traction applications. Although many publications discuss IM design to realize a traction torque-speed characteristic, the IM model is studied to determine the main parameters impacting on the machine performance capability at constant torque and extended speed. Based on the model analysis, an IM design procedure for traction applications is proposed which improves machine performance capability. The machine design parameters are normalized in per unit form and hence the proposed design procedure is applicable across different ratings. In the specification and definition of vehicle power-trains, it is common (in industry) to quote data at specific operating conditions, for example, full or fixed battery terminal voltage and system temperature. The interactive influence between energy storage devices and the vehicle system is investigated. Using the all-electric Nissan Leaf power-train as a reference example, the Nissan Leaf traction system is evaluated and performance assessed by considering DC-link voltage variation from battery full state of charge (SoC) to zero SoC and temperature variations typical of an automotive application, showing that the system stated performance is reduced as battery SoC decreases. An alternative traction machine design is proposed to satisfy the vehicle target performance requirements over the complete variation of SoC. The vehicle power-train is then modified with the inclusion of a DC/DC converter between the vehicle battery and DC-link to maintain the traction system DC-link voltage near constant. A supercapacitor system is also considered for improved system voltage management. The trade-offs between the actual Nissan Leaf power-train and the redesigned systems are discussed in terms of electronic and machine packaging, and mitigation of faulted operation at high speeds. Using the Nissan Leaf interior permanent magnet (IPM) machine as the benchmark machine, an example surface permanent magnet (SPM) machine, with same design constraints, is designed and compared with the benchmark IPM machine. The phase voltage distortion of IPM and SPM machines are compared and the mechanisms are revealed. An alternative machine topology with pole shoe rotor is proposed for reduction of machine peak current rating and voltage distortion. The pole shoe topology is common in industrial variable speed drives employing constant torque regimes, but not for traction. Here, the machine with pole shoe rotor is designed to achieve traction performance. The pole shoe concept for vehicle traction is significantly different from existing practice in the electric and hybrid electric automotive industry and thus departure in standard design is a contribution of this thesis. / Thesis / Doctor of Philosophy (PhD)

This dissertation presents the development and application of a naval ship distributed system architecture framework, Architecture Flow Optimization (AFO), Dynamic Architecture Flow Optimization (DAFO), and Energy Storage System (ESS) model in naval ship Concept and Requirements Exploration (CandRE). The particular objective of this dissertation is to determine and assess Energy Storage System (ESS) capacity, charging and discharging capabilities in a complex naval ship system of systems to minimize vulnerability and maximize recoverability and effectiveness. The architecture framework is implemented through integrated Ship Behavior Interaction Models (SBIMs) that include the following: Warfighting Model (WM), Ship Operational Model (OM), Capability Model (CM), and Dynamic Architecture Flow Optimization (DAFO). These models provide a critical interface between logical, physical, and operational architectures, quantifying warfighting and propulsion capabilities through system measures of performance at specific capability nodes. This decomposition greatly simplifies the Mission, Power, and Energy System (MPES) design process for use in CandRE. AFO and DAFO are network-based, linear programming optimization methods used to design and analyze MPESs at a sufficient level of detail to understand system energy flow, define MPES architecture and sizing, model operations, reduce system vulnerability and improve system effectiveness and recoverability with ESS capabilities. AFO incorporates system topologies, energy coefficient component models, preliminary arrangements, and (nominal and damaged) steady state scenarios to minimize the energy flow cost required to satisfy all operational scenario demands and constraints. The refined DAFO applies the same principles as AFO, but adds two more capabilities, Propulsion and ESS charging, and maximizes effectiveness at each scenario timestep. DAFO also integrates with a warfighting model, operational model, and capabilities model that quantify the performance of tasks enabled by capabilities through system measures of performance at specific capability nodes. This dissertation provides a description of the design tools developed to implement these processes and methods, including a ship synthesis model, hullform exploration, MPES explorations and objective attribute metrics for cost, effectiveness and risk, using design of experiments (DOEs) response surface models (RSMs) and Energy Storage System (ESS) applications. / Doctor of Philosophy / This dissertation presents the development and application of a naval ship distributed system architecture framework, Architecture Flow Optimization (AFO), Dynamic Architecture Flow Optimization (DAFO), and Energy Storage System (ESS) design in naval ship Concept and Requirements Exploration (CandRE). The particular objective of this dissertation is to determine and assess Energy Storage System (ESS) capacity, charging and discharging capabilities in a complex naval ship system of systems to minimize vulnerability and maximize recoverability and effectiveness. The architecture framework is implemented through integrated Ship Behavior Interaction Models (SBIMs) that include the following: Warfighting Model (WM), Ship Operational Model (OM), Capability Model (CM), and Dynamic Architecture Flow Optimization (DAFO). These models provide a critical interface between logical, physical, and operational architectures, quantifying warfighting and propulsion capabilities through system measures of performance at specific capability nodes. This decomposition greatly simplifies the Mission, Power, and Energy System (MPES) design process for use in CandRE. AFO and DAFO are network-based, linear programming optimization methods used to design and analyze MPESs at a sufficient level of detail to understand system energy flow, define MPES architecture and sizing, model operations, reduce system vulnerability and improve system effectiveness and recoverability with ESS capabilities. AFO incorporates system topologies, energy coefficient component models, preliminary arrangements, and (nominal and damaged) steady state scenarios to minimize the energy flow cost required to satisfy all operational scenario demands and constraints. DAFO applies the same principles as AFO, but adds two more capabilities, Propulsion and ESS charging, and maximizes effectiveness at each scenario timestep. DAFO also integrates with a warfighting model, operational model, and capabilities model that quantify the performance of tasks enabled by capabilities through system measures of performance at specific capability nodes. This dissertation provides an overview of the design tools developed to implement these process and methods, including a ship synthesis model, hullform exploration, MPES explorations and objective attribute metrics for cost, effectiveness and risk, using design of experiments (DOEs) response surface models (RSMs) and Energy Storage System (ESS) applications.

The demand for electricity is rising rapidly, with more power generated through re-newable energy sources. Renewable energy sources can fluctuate in their power output atshort notice, making it more difficult to maintain the balance between electricity consump-tion and production in the short term. A solution that has gained increased interest recentlyis to connect battery energy storage systems to the grid as a means of maintaining balance.However, such systems are often controlled remotely by a cloud control system, creatingtime-critical control loops over the internet that are partly responsible for the stability andcontinued function of the electrical grid. Cyberattacks against these closed-loop systemscould devastate the electrical grid and the apparatus connected to it.In this thesis, a reference model is designed for an electrical grid load-balancing cloudcontrol system connected to remote battery energy storage systems and remote grid fre-quency sensors (measuring the balance between production and consumption). The modelis evaluated from a cybersecurity perspective by implementing a simulator and applyingdifferent cyberattacks on the simulated system.The results show that some of the most critical attack methods that a threat actor couldutilize are: disrupting the connections over the internet that are part of the closed-loopsystem, abusing remote access links from the outside to gain access to subsystems (suchas seizing control of batteries), or disturbing external dependencies to the cloud such asdomain name system (DNS) and network time protocol (NTP) servers or the contractsrelated to electricity trading. The most important cyberattacks identified in the thesis are:time delay switch (delays of messages), denial of service (disturbing message availability),false data injection (modifying message contents), replay (replaying old messages), andload altering (affecting the grid balance through direct altering of electricity consumptionand production).The simulated cyberattacks differ in how they affect the grid frequency, i.e. the gridproduction-consumption balance. Large enough network packet delays caused oscilla-tions in the simulated frequency. Denial of service attacks caused unpredictable behavior,and a high enough packet drop rate caused oscillations. For false data injection, the re-sults depend on which internet link was attacked and what injection strategy was used;some attacks caused oscillations, while others caused a steady state error or even an in-creasingly deviating frequency. Replay attacks were able to cause a deviation during thereplay window when used effectively. Finally, large enough load altering caused oscilla-tions, especially when an attacker had control over at least 15% of the system’s balancingpower.Overall, attacks on the simulated system are serious and precautions must be carefullyconsidered before such a system is implemented in the real world.

The success of battery electric trucks in logistics depends on ef-ficient and cost-effective charging practices at logistic terminalsduring loading, unloading, and overnight parking. However, asfleets of electric trucks expand, the charging process at terminalscan become complex. Maintaining transport efficiency within theelectric grid’s limits and available chargers is crucial. Challengesarise from weak terminal grid connections, necessitating a needto manage peak power usage.The aim of this master’s thesis is to develop optimization algo-rithms for fleet charging at terminals. It involves modeling andevaluating algorithm(s) against strategies and exploring potentialimplementation within existing transport systems. Delving intovarious areas, such as energy integration (including photovoltaic& battery energy storage systems), system integration of charg-ing stations, terminal layout and implementation of algorithm(s).This thesis work will contribute to the innovation project "Local En-ergy Systems for Electrified Logistic Applications" (LEELA). Modeling will rely on empirical research, industry data and researchfrom companies involved within the project LEELA.The simulations from the algorithms showed the importance ofevaluating viable choices for implementation, such as integratedcharging systems, photovoltaic systems, battery energy storagesystems and megawatt charging systems.

Detta examensarbete utreder den tekniska och ekonomiska passbarheten av batterilagringssystem (BESS) inom den svenska el infrastrukturen. Syftet är att konstruera tre olika affärsfall för att representera den tekniska och den ekonomiska passbarheten av BESS inom den svenska el infrastrukturen, specifikt med uppkoppling mot distributionsnätverket på den regionala nivån, 6 kilovolt till 132 kilovolt (kV). Affärsfallen adresserar dem tekniska funktioner och kunder inom infrastrukturen som utifrån en litteraturstudie anses vara dem mest attraktiva att bygga ett affärsfall utifrån. Litteraturstudien utreder den svenska el infrastrukturens struktur samt dess existerande och uppkommande utmaningar. Studien utforskar även hela spektrumet energilagringssystem (ESS) för att rättfärdiga valet av litium-jon BESS. Litium-jon BESS är närmare undersökt, där systemets operativa parametrar samt komponenter är kartlagda. Vidare undersöks dem tekniska funktionernas tekniska krav och ekonomiska incitament i en marknadsanalys. Slutligen utforskas regler och lagar omkring BESS implementering i den svenska el infrastrukturen samt placeringen och de kostnader för att bygga en BESS anläggning. De tre affärfallen som är konstruerade i denna studie är: Kombinationen av frekvensrelaterade nätverksstödtjänster för en fristående BESS-tillgångsoperatör. Avbrottsfri strömtillförsel för ett datacenter. Skala effekttoppar och kombination av frekvensrelaterade nätverksstöddtjänster för en industri. Litium-jon BESS anses vara den mest tillämpliga tekniken på grund av dess snabba responstid, höga effekt- och energidensitet samt skalbarheten för att passa majoriteten av de tekniska funktioner som undersökts inom studien. Affärsfallens ekonomiska passbarhet utvärderas efter två ekonomiska indikatorer, nuvärdesberäkning (NPV) samt återbetalningstiden. Affärsfall nummer tvås tekniska funktion erbjuder ingen möjlighet att generera en inkomst vilket gör att den kommer bli utvärderad efter kostnad för service, där utgifterna är uppdelade utöver projektets livstid genom linjär amortering. Vidare används linjär amortering för att räkna ut kostnaden per kilo sparat CO2 utöver livstiden på projektet. Både affärsfall 1 (NPV= 231,0 MSEK, återbetalningstid= 7,8 år) samt affärsfall 3 (NPV= 17,3 MSEK, återbetalningstid= 8,8 år) visar en lönsamhet där affärsfall 2 ger en kostnad för service mellan 5,4 och 5,8 MSEK/år och där kostnaden per sparat kilo CO2 mellan 20,9 och 22,7 SEK/kg CO2. Denna studie fokuserar på de tre största distributionsnätverksoperatorerna (DNO) inom distributionsnätverket på en regional nivå: Vattenfall, Eon och Ellevio. Lönsamheten av de undersökta affärsfallen är starkt kopplade till placeringsområde inom nätverket, spänningsnivån och typ av DNO. Möjlighet att koppla upp BESS till en existerande transformatorstation på anläggningen för affärsfall två och tre minskar investeringskostnaden samt driftkostnaderna vilket vidare förbättrar dess lönsamhet. Affärsfall ett behöver gå igenom en noggrann bedömning för att försäkra sig om lönsamheten. NPV samt återbetalningstiden kan påverkas i affärsfall ett och tre på grund av den ständigt förändrande frekvensregleringsmarknaden där priserna är volatila på grund av nya marknadsinitiativ. Att konstruera ett BESS affärsfall medför att flertalet osäkerheter bör räknas in, såsom de ekonomiska incitamenten som inte visar någon garanti på att vara fortsatt lönsamt. Det höga priset på litium-jon batterier saktar ner attraktiviteten av affärsfallen och måste vidare sjunka för att främja ett lönsamt affärsfall. Andra ESS som flödesbatterier och vätgaslagringssystem visar god passbarhet att bli implementerad i den svenska el infrastrukturen men måste vidare utveckla sin tekniska och kommersiella mognadsgrad innan dem kan vara konkurrenskraftiga med litium-jon BESS.  Examensarbetet är utfört i samarbete med Omexom Infratek Sverige AB med målet att bidra till en större förståelse av BESS roll i den svenska el infrastrukturen och vidare bidra till att konstruera ett tekniskt erbjudande för Omexom Infratek Sverige AB. / This master thesis investigates the technical and economic feasibility of battery energy storage systems (BESS) in the Swedish electrical infrastructure. The aim is to construct three business cases to represent the technical and economic feasibility of BESS implementation in the Swedish electrical infrastructure in the distribution network on the regional level, 6 kilovolts to 132 kilovolts (kV). The business cases address the technical functions and customers within the infrastructure that is recognized through a literature study to build the most attractive and incentivized business cases from. The literature study investigates the Swedish electrical infrastructure’s structure and its existing and upcoming challenges. It investigates the spectrum of energy storage systems (ESS) to justify the choice of the lithium-ion (Li-ion) BESS. The Li-ion BESS is closer examined, where the systems operational parameters and components are mapped out. Furthermore, the technical functions technical requirements and economic incentives are investigated in a market analysis. Lastly, considerations regarding regulations and permits, the placement of BESS within the infrastructure and its surrounding costs is evaluated. The three business cases that are constructed within the thesis are:  Combination of frequency related grid support services for a standalone BESS asset operator. Uninterruptable power supply for a data center. Peak shaving and a combination of frequency related grid support services for an industrial plant.  The, Li-ion BESS is considered to most applicable technology due its fast response time, high power and energy density and scalability to suit the majority of technical functions investigated in the thesis. The business cases economic feasibility is evaluated after two economic indicators, the net present value (NPV) and the payback period. Business case two’s technical function offers no possible revenues and is evaluated as a cost for service where the expenses is divided throughout the project lifetime through linear amortization and the cost per saved kg CO2 is calculated over the lifetime of the BESS. Both business case 1 (NPV= 231.0 MSEK, payback period= 7.8 years) and case 3 (NPV=17.3 MSEK, payback period= 8.8 years) show profitability where business case 2 gives a cost per service between 5.4 and 5.8 MSEK/year and cost per saved kg CO2 between 20.9 and 22.7 SEK/kg CO2.  This thesis focuses on the three largest distribution network operators (DNO) in the distribution network on a regional level: Vattenfall, Eon, and Ellevio. The profitability of the business cases investigated are strongly connected to the location in the network, the voltage connection level, and the type of DNO. Being able to connect to an existing substation on site as for business cases 2 and 3 will lower the capital and operational costs and further improve the profitability. Business case 1 needs a thorough assessment of placement in the electrical infrastructure in Sweden to assure profitability. The NPV and payback period in business cases 1 and 3 could conflict with the interchanging frequency regulation market where prices are rather volatile due to new market initiatives. Therefore, looking forward, building a BESS business case to be implemented comes with lots of uncertainties as the economic incentives shows no guarantee to continuously be profitable. The high price of Li-ion batteries is slowing down the attractiveness of the business cases and need to further decrease to promote profitable business cases. Other ESS technologies as flow batteries and hydrogen storage systems show good applicability to be implemented in the Swedish electrical infrastructure but needs to develop its technical and commercial maturity until it can become competitive with Li-ion BESS.  The master thesis is performed in conjunction with Omexom Infratek Sverige AB with the aim to contribute to a broader understanding of the role of BESS in the Swedish electrical infrastructure and to help building BESS technical offers for Omexom Infratek Sverige AB.

In recent years, power systems are facing with various challenges arising from the increased share of renewable energy systems. Among all sections of power systems, distribution grids are affected the most since the majority of renewable energy sources are connected to distribution grids. As the penetration of Variable Energy Sources increases in electric grids, energy storage systems have become more influential. In this context, this thesis presents a new algorithm for the optimal operation of Battery Energy Storage Systems in distribution grids. The proposed algorithm aims to define the optimal operation of Battery Energy Storage Systems considering the network topology, the output power of Variable Energy Sources and the electricity prices from the one-day ahead electric market as well as real time control of the batteries through smart appliances. In order to do this, firstly a comprehensive study on the existing Optimal Power Flow methods is carried out. Then, AR-OPF which is a novel Optimal Power Flow method for radial distribution systems is presented and the required mathematical constraints, equations and parameters of Battery Energy Storage Systems for modelling in distribution systems are described. Then, the problem formulation and the proposed algorithm are discussed in detail. Further to energy storage as the main function of Battery Energy Storage Systems, the impact of the proposed method on other functions of Battery Energy Storage Systems such as voltage control, grid support and loss reduction will be investigated. In order to do so, the proposed algorithm is applied to the IEEE 34 node test system as a case study. This will be carried out through defining several different scenarios. Finally, a sensitivity analysis is performed on the size of the existing batteries and the electricity price. The thesis will be concluded by the findings and possible future works.