Power System Deregulation is a trend, and it takes place when the government, reduces unnecessary intervention and relaxes the control of capacity and price for the electricity market. It can establish the market mechanism and create rules that facilitate competition. The intention is to raise the market efficiency, introducing various types of production technologies and marketing management. As a result, it should create higher added value and ensure customer rights and interests to reach a win-win situation from both parties. In this thesis, a maximum profit will be pursued in the security market by the use of the Enhanced Immune Algorithm and Signal-to-Noise Ratio search under deregulated environment. Participation of generator companies and distribution companies are determined by ISO depending on their individual contributions to join the security market. The monetary influence is also discussed by using the social welfare. In this thesis, optimization will be considered when a line trip could lead to system congestion under security analysis. Tracing was used to find GenCos and DisCos¡¦s contributions to the transmission lines. ISO determines the participants to join the security market according to the tracing results. For the same fault type, various dispatch fees of the bids from participants will have various impacts on ISO¡¦s dispatch in terms of social welfare in the security market. Various fault types will also be discussed for the impacts of dispatch fees over ISO. This research could also provide a solid foundation for power system deregulation in the future. ISO can forecast the cost for a fault, and maximizes social welfare.

Generation capacity expansion planning has been evolving in rencent decades. First, the long-term planning procedure is taking more detailed considerations of short-term operation impacts. Second, as more renewable resources being integrated into the grid, a new strategy of dealing with the non-dispatchable renewable energy should be developed, with more ancillary services needing to be procured from thermal units. These trends are expected to continue. This thesis describes a methodology in generation capacity expansion planning. The screening curves method can be used to estimate optimal generation mix for a target year. This thesis first introduces three screening curves methods, which are classified based on their ability to deal with detailed shortterm operational issues. It then includes ancillary service and wind integration impacts. Finally, it presents a case study of a projected ERCOT 2030 system. / text

Due to the increasing integration of renewable energy generations, the overvoltage and overload issues in transmission networks have become more significant, and they may occur at various locations. To mitigate the overvoltage issues, traditional solutions which often consider the installation of reactive power compensators such as shunt reactors, SVC, STATCOM may not be cost-effective. To mitigate the overload issues, traditional methods using direct or price-based demand control will affect customers’ electrical experience in that they are inconvenienced greatly. This thesis discusses the flexible tap changing techniques that utilise existing parallel transformers in distribution networks to provide reactive power absorption and demand response services for transmission systems. Among them, the tap stagger technique operates parallel transformers in small different tap positions, i.e. staggered taps, to result in more reactive power absorption from upstream networks. In addition, the tap changing technique changes voltages in the range of statutory limits through the adjustment of tap positions in order to change network demands without directly affecting customers. The aggregated reactive power absorption or demand response from many pairs of parallel transformers in distribution networks could be sufficient to provide VAr or demand support to transmission networks. Network capability studies have been carried out in OpenDSS simulation software to investigate the VAr absorption capability by using tap staggering technique and the demand reduction capability by using tap changing technique. The studies are based on two UK HV distribution networks (132-33kV) with 11 and 28 primary substations (33/11 or 6.6 kV) respectively, and the techniques are applied to parallel transformers in primary substations. Based on the results of the two networks, the capabilities of the whole ENW and the UK distribution networks have been estimated respectively by using linear estimation method. In addition, the VAr absorption capability of the tap stagger technique has been validated by using site trial data. The results show an average VAr absorption capability of 0.89MVAr for a primary substation, 315MVAr for ENW networks and about 2500MVAr for the UK at stagger level 4 and show an average demand reduction capability of 3.1% of the original demand at tap down level 3. The results of capability studies together with the validations results confirm that the flexible tap changing techniques are able to provide transmission networks with effective VAr support and demand response services. To assess network VAr absorption and demand response capability more precisely, this thesis also proposes an online load profile estimation method to estimate the load profiles of the network more accurately if not all substations in the network are monitored. The method uses Peak Load Share values, Euclidean Distance, and some load measurements to estimate load profiles. The method has been validated and compared with a traditional aggregation-based method. The results show an average estimation error of 13% ~ 23% in different conditions using the proposed method, and show an average estimation error reduction from about 47% (using the traditional method) to about 13% (using the proposed method). The results indicate that the developed method has a considerable improvement on the accuracy of load profile estimation.

This master thesis investigates the impact of battery energy storage utilization in the ancillary services market on a local electricity grid. Specifically, the study examines the technical impact of battery energy storage installations and how grid operators should handle these types of installations in the future. To achieve this goal, battery energy storage systems simulations using MatLab software based on historical frequency data have been conducted creating an operation scheme for the battery. The battery simulation was applied to the electrical systems consumption and production data, conducting a whole year power flow simulation investigating the effects on peak power demand both for the customer and local grid owner. The worst-case scenarios were also investigated to assure that the grid could withstand the change in production and consumption at any time. The results indicate that such an installation would increase the peak power demand for the local grid owner by a maximum of 12 kW for one week but in general, it would result in a smaller increment and some small decrement. For the customer, the maximum impact is greater both in absolute numbers and in proportion to the peak power demand before with an increment of 16 kW, but in general, there will not be any impact on the effect tariff at all. The results of the worst-case scenario simulations showed that during backup power supply at high load timestamps in combination with FCR-D down there would be contingencies in one cable connection between two nodes, causing the cable current to increase above the rated current. To allow such an installment the local grid owner would need to limit the battery capacity and increase their billings to the customer, expand the dimension of the system or even, increase their effect tariffs to always ensure a stable electricity supply and stable financial balance.

Renewable power production is becoming a necessity to improve society and overcome the challenges of climate change. In Sweden, large-scale solar PV power is growing year-on-year and today comprises 1 percent of electricity production. Solar power, however, is an intermittent form of electricity production which, whilst being renewable, contributes to increasing grid instability. For the grid to stay in balance, at grid frequency 50 Hz, electricity must be consumed at the time of production. If there is a surplus of production or a sudden decrease in consumption, the frequency will deviate from the nominal value. When introducing larger quantities of intermittent power production, the power system inertia decreases, and the frequency becomes prone to deviate. To combat this, the Swedish TSO Svenska Kraftnät procures ancillary services which aid the grid when needed. For solar PV power to be able to contribute to these marketplaces, a battery storage solution system (BESS) is utilized. This thesis aimed to investigate the economic feasibility of co-locating a solar photovoltaic (PV) park with a battery energy storage system (BESS) and to determine the optimal size of the BESS. The study utilized a linear optimization model to simulate the operation of a 14 MW solar PV park with different sizes of BESS ranging from 1 MWh to 14 MWh. The analysis considered the revenue generated by providing different services to the electricity grid, such as energy arbitrage and frequency regulation. The results indicate that co-locating a solar PV park with a BESS increases revenue, and the optimal BESS size for a 14 MW solar PV park is between 1 and 8 MWh. Above this range, the revenue recedes due to the limitations of the grid connection, which restricts the BESS from participating in the ancillary service markets. The analysis considers the running costs associated with power discharge to the grid and initial BESS investment. The study did not account for ancillary market bids that are not accepted, which could have a significant impact on the revenue generated. The ongoing trend of lowering battery prices could further boost the economic assessment and increase interest in all battery sizes, resulting in larger battery system installations in general.

The increasing penetration of electric vehicles (EVs) and other distributed energy resources (DERs) offers enhanced flexibility and resilience. During extreme conditions, grid-connected EVs and DERs can provide electricity service and restore critical loads when the utility system is unavailable. On the other hand, during normal operation, these proactive devices can provide ancillary services to alleviate voltage fluctuations and support frequency regulation. In comparison with other DERs, EVs are more flexible in providing ancillary services due to their mobile nature. However, the proliferation of EVs and DERs also introduces operational challenges to the distribution grid. For instance, EVs primarily fulfill their transportation needs. Uncoordinated charging of a large number of EVs can increase the burden on the distribution system. Due to the limited charging rate and battery size, it is generally impractical for a single EV to directly participate in the ancillary service market. A conventional distribution system is designed for unidirectional flow of electric energy. With the growing installation of DERs on the distribution system, the flow of electric energy is bi-directional and, therefore, there is a higher risk of protection miscoordination due to the fault currents resulting from DERs. With limited communication capability, these undetected protective device (PD) actuations can cause uncertainties and delay the service restoration process. This dissertation makes contributions to the coordination of EVs and DERs. It introduces four innovative models for EV coordination: 1) A transactive energy (TE) trading mechanism is proposed to coordinate EVs and aggregators. 2) Optimal tools are provided to assist EVs and aggregators in optimal decision making while participating in TE. 3) A charging station model is developed to allow EVs to provide ancillary service aligned with their mobile nature. 4) A utility function model is presented to capture the EV owners' behaviors for providing ancillary services and charging vehicles. Charging stations can estimate the electric energy demand and optimize ancillary service provision to meet their goals. Simulation cases validated that the proposed optimization tools can align EV owners' preferences in providing ancillary service to enhance distribution system operation flexibility. To enhance the resilience of distribution systems, two novel optimization strategies are presented: 1) An advanced outage management (AOM) is proposed to utilize smart meters and fault indicators (FIs) to identify the most credible outage scenario and fault locations. 2) An advanced feeder restoration (AFR) is developed to provide an optimal restoration strategy to enhance system resilience. The proposed optimization models have been validated with realistic simulation cases. / Doctor of Philosophy / As Electric Vehicles (EVs) and other Distributed Energy Resources (DERs) become more common, they are changing how our distribution systems work. For example, during power outages, grid-connected DERs and EVs can be deployed to sustain essential electricity services such as hospitals and communications. On the other hand, during a normal operating condition, they can help maintain the stability of our electricity systems. It is a technical challenge to integrate these new EV and DER devices into the existing power grid. For example, EVs are mainly designed for transportation. Their clustered charging patterns can significantly increase the electrical demand if they are not managed properly. Also, the limited battery capacity and charging speed make it difficult for a single vehicle to provide meaningful support to the grid operation. For the EV management side, this research is concerned with how to better integrate EVs and similar technologies into the power grid. Four key contributions of this dissertation are: 1) Developing a trading mechanism for EVs and aggregators of EVs to exchange energy and ancillary services efficiently; 2) Creating computational technologies to help these entities optimize their decisions while meeting their requirements; 3) Structuring charging station operations that cater to the preferences of EV owners while supporting grid operation; and 4) Modeling EV owners' decision-making to set optimal pricing and service strategies at charging stations. These mechanisms and strategies will allow EV owners to support the power grid while meeting their transportation needs. Moreover, the study addresses the issue of enhancement of the distribution system's capability to restore services under extreme conditions. It provides an advanced outage management method that utilizes remote monitoring and control technologies, including smart meters and fault indicators, to identify the location of electrical faults and reduce the outage areas. The advanced feeder restoration method determines an optimal strategy to restore the electricity service efficiently while keeping the distribution grid stable.

In order to prevent power system blackout, and enhance system reliability, various forms of special protection systems (SPS) and defense plans have been implemented by utilities around the world. One of the main concerns in the design of an SPS is to assure whether the system could fit with the reliability specification requirements. The failure of SPS to detect the defined conditions and carry out the required actions, or to take unnecessary actions, could lead to serious and costly consequences. Thus, a quantitative reliability assessment for SPS is important and necessary. Using a single point value for the parameter to evaluate the reliability of SPS might give incomplete information about the system reliability due to the uncertainty of reliability model and input data. When a review study suggests that some modifications of the existing scheme are necessary, the sensitivity analysis techniques could provide the tools to do this investigation to identify the most significant components that have essential effects on the reliability of the SPS. In this dissertation, by incorporating an interval theory, a risk reduction worth importance concept, and a probabilistic risk-based index, a procedure is proposed to conduct parameter uncertainty analysis, identify critical factors in the reliability model, perform probabilistic risk assessments (PRA) and determine a better option for the refinement of the studied SPS decision process logic module. One of the existing SPSs of Taipower systems is used to illustrate the practicability and appropriation of the proposed design refinement procedure. With the advent of deregulation in the power industry, utilities have experienced a great pressure to fully utilize their current facilities to the maximum level. SPSs are often considered as a cost effective way in achieving this goal. This dissertation also presents a framework for quantitative assessment of the benefits and risks due to SPS implementation. Changes in energy, spinning reserve and customer interruption costs resulting from SPS operations are evaluated and risks of SPS operations and system security are assessed. The proposed methodologies are useful for power system planners and operators to evaluate the value and effectiveness of SPS for the remedy of transmission congestion and reliability problems.

Le raccordement des systèmes PV ou des systèmes de recharge des VE au réseau peut avoir des impacts sur le fonctionnement du réseau:• Variation de tension• Déséquilibre de tension entre phases• Impact du caractère intermittent de la ressource solaire• Impact du caractère aléatoire des systèmes de recharge des VE• Injection d'harmoniques de découpage au réseau si les onduleurs ne sont pas munis de filtres efficaces• Interactions harmoniques entre onduleurs à travers le réseau• Injection de courant continu au réseau• Courants de fuite• Impact sur les pertes• Impact sur la congestion en cas de recharge des VE…C'est pourquoi, l'objectif de cette thèse est de développer les stratégies de contrôles/commandes intelligents pour les onduleurs PV et les systèmes de recharge des VE de afin de- réduire le coût total du système PV ou du système de recharge,- augmenter la performance des onduleurs PV raccordés au réseau- augmenter le taux de pénétration des systèmes PV ou de recharge des VE- assurer la continuité de service- participer au réglage de tension et de fréquence du réseau- contribuer à la stabiliser le réseau en cas nécessaire- améliorer la qualité de l'énergie- éviter les congestions…Dans le cadre du travail, la définition des services apportés par systèmes PV ou les systèmes de la recharge des VE est nécessaire. Ces services que les systèmes PV ou les systèmes de recharges qui peuvent apporter au réseau, sont élaborés dans un but prospectif : respect du plan de tension par régulation, absorption/production de puissance réactive selon le besoin, tenue aux creux de tension, amélioration de la qualité.Les études concernées :- Etude des interactions (impacts) entre les onduleurs PV et le réseau- Etude des interactions (impacts) entre les onduleurs de la recharge des VE et le réseau- Définition des services apportés par ces systèmes- Développement et modélisation d'un onduleur bidirectionnel- Développement des systèmes de contrôle/commande intelligent pour ces services:o Réglage de tension. Gestion de congestion. Amélioration de la qualité (ex : harmoniques). Capacité de tenue aux creux de tension. / The connection of PV systems or EV charging systems may impact on the operation of the electrical network:• Voltage variation• Voltage unbalance between phases• Impact of the intermittent nature of the solar resource• Impact of the random nature of EV charging systems• Harmonic injection in the network• DC injection network• Leakage currents• Impact on loss• Impact on congestion in case of EV charging ...Therefore, the objective of this thesis is to develop strategies to control / intelligent controls for PV inverters and charging systems for EVs to- Reduce the total cost of the PV system or charging system,- Increase the performance of PV inverters connected to the network- Increase the penetration of PV or EV charging- Ensure continuity of service- Participate in the regulation of grid voltage and grid frequency- Contribute to stabilize the grid- Improving the quality of energy- Avoid congestions...As part of the work, the definition of services provided by PV systems or EV charging systems is required. These services PV systems or systems that can provide to the network, are developed in a prospective: regulation of the voltage plan, absorption / reactive power as needed, withstand voltage dips, improving quality. Studies concerned:- Study of interactions (impacts) between PV inverters and network- Study of interactions (impacts) between the inverters and EV charging network- Definition of the services provided by these systems- Development and modeling of a bidirectional inverter- Development of control systems / intelligent control for these services: Voltatge controlo Management of congestiono Improved quality (eg harmonics). Ability to ride-through voltage dips.

Fragmentation in healthcare has led to a desire to align and integrate care processes horizontally. The concept of value-based healthcare has been introduced, suggesting a maximized value creation to occur when optimal conditions are created for selected patient segments, integrating all activities that jointly determine the success in meeting a set of patient needs. While targeting specialized segments has been shown to be beneficial, theories of diversification suggests that an increased scope may be an even more efficient approach to improve performance. By sharing resources and capabilities across several specialized units, coordination and knowledge sharing of a hospital’s ancillary services becomes important.   In this study, we examine how an ancillary service function, providing resources and capabilities that are shared across specialized units, can be organized to ensure contribution to the overarching goal of maximizing value for patients. This is done through a qualitative case study of the Karolinska University Laboratory – an ancillary service function of the Karolinska University Hospital. It is concluded that an ancillary service function can, in a diversified context, facilitate and support the value creation around medical conditions by developing a comprehensive structure for knowledge management and sharing, both externally towards medical conditions and internally within the ancillary service function. If structured properly, clear benefits, such as economies of scale, scope and knowledge spillovers, can be achieved by separating sharable resources from the patient flows.

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