In the eastern part of Stockholm, a major urban development project is taking place. It is called Stockholm Royal Seaport and up to the year 2030 approximately 12000 new homes, 35000 workplaces and 600000 square meters of commercial areas will be added to the area. The project has been given a very ambitious environmental action program. As a part of that, the City of Stockholm has established a logistics centre in the area. The logistics centre is supposed to coordinate all transports of building material and handle the waste during the construction phase. One objective with the logistics centre is to reduce the number of transports and thereby reduction in the use of energy. The thesis-work mainly focused on developing an optimisation program for electricity supply to the logistics centre, in order to find the optimal way of managing charging and the use of electrical energy, when the logistics centre has procured a new batterypowered truck. The main objective is to minimize the purchase of power bought from the grid, for the loads at the logistics centre at Stockholm Royal Seaport. This thesis not only focused on this site in particular, but the work also resulted in creating a benchmark model that could be used for studying the electrification process for other construction sites in general. The logistics centre contains stationary battery storage, electrified distribution trucks, a PV generation system, and other electrical loads at the site. This thesis aimed at considering all the limitations and constraints for all the resources at the site and then finding an optimal method of utilising these resources in order to minimize the overall energy consumption. In this thesis, the optimal sizing of the battery for an electrified distribution truck is also performed considering the overall functional requirements of the distribution truck. Various charging strategies have been identified and simulated to understand the routines of charging the truck and their direct impact on the grid due to the purchase of energy during various hours of the day. The work resulted in optimised use of assets at the site during different hours of the day. The simulation work identified the best strategy and the use of resources at the site thus saving some amount of energy consumption at the site. This directly resulted in saving overall operational costs of the logistics centre. / I den östra delen av Stockholm pågår ett stort stadsutvecklingsprojekt. Det kallas Norra Djurgårdsstaden och fram till år 2030 kommer cirka 12000 nya bostäder, 35000 arbetsplatser och 600000 kvadratmeter kommersiella områden att läggas till området. Projektet har fått ett mycket ambitiöst miljöprogram och som en del av det har Stockholm stad inrättat ett logistikcenter i området. Logistikcentret ska samordna alla transporter av byggmaterial och hantera avfallet under byggfasen. Ett mål med logistikcentret är att minska antalet transporter och därmed minska energianvändningen. Examensarbetet fokuserade främst på att utveckla ett optimeringsprogram för elförsörjningen till bygglogistikcentret för att hitta det optimala sättet att hantera laddning och användning av elektrisk energi när logistikcentret investerar i en ny batteridriven lastbil. Huvudmålet är att minimera importen av elkraft som köps från nätet för att försörjar lasterna vid Norra Djurgårdsstadens Bygglogistikcenter. Målet är att göra en vägledande modell som kan användas för att studera elektrifieringsprocessen för byggarbetsplatser i allmänhet. Detta logistikcenter innehåller stationär batterilagring, elektrifierade distributionsbilar, ett PV -genereringssystem och andra elektriska laster på platsen. Syftet med denna avhandling var att överväga begränsningarna och resurserna på platsen och sedan hitta en optimal metod för att använda dessa resurser för att minimera den totala energiförbrukningen. I detta examensarbetet utförs också den optimala dimensioneringen av batteriet för en elektrifierad distributionsbil med beaktande av de övergripande funktionella kraven för distributionsbilen. Olika laddningsstrategier har identifierats och simulerats för att förstå rutinerna för laddning av lastbilen och dess direkta påverkan på nätet på grund av inköp av energi under olika timmar på dygnet. Arbetet resulterade i optimerad användning av tillgångar på platsen under olika timmar på dygnet. Simuleringsarbetet identifierade den bästa strategin och användningen av resurser på platsen, vilket sparar en viss energiförbrukning på platsen. Detta resulterade direkt i att spara logistikcentralens totala driftskostnader.

<p dir="ltr">The need for reducing reliance on fossil fuels to meet ever-increasing energy demands and minimizing global climate change due to greenhouse gas emissions has led to an increase in investments in Variable Energy Resources (VREs), such as wind and solar. But due to the unreliable nature of VREs, an energy storage system must be coupled with it which drives up the investment cost.</p><p dir="ltr">Lithium-ion batteries are compact, modular, and have high cyclic efficiency, making them an ideal choice for energy storage systems. However, they are susceptible to capacity loss over the years, limiting the total life of the batteries to 15-18 years only, after which they must be safely discarded or recycled. Hence, designing a Battery Energy Storage System (BESS) should consider all aspects, such as battery life, investment cost, energy efficiency, etc.</p><p dir="ltr">Most of the available studies on cost and lifetime of BESS either consider a steady degradation rate over years, or do not account for it at all, they take constant charge/discharge cycles, and sometimes do not consider ambient temperature too. This may result in an error in estimation of the cost of energy storage. The location where the BESS is supposed to be installed can also impact its life, given that each location has its own power consumption trend and temperature profile. In this work, we attempt to simulate a BESS by considering the ambient temperature, degradation rate and energy usage. This will help in getting an insight of a more realistic estimate of levelized cost of storage and for estimating the thermal energy needed to keep them within a certain temperature range, so that they can last longer.</p>

A continuous increase in demands from the utility grid and traction applications have steered public attention toward the integration of energy storage (ES) and hybrid ES (HESS) solutions. Modern technologies are no longer limited to batteries, but can include supercapacitors (SC) and flywheel electromechanical ES well. However, insufficient control and algorithms to monitor these devices can result in a wide range of operational issues. A modern day control platform must have a deep understanding of the source. In this dissertation, specialized modular Energy Storage Management Controllers (ESMC) were developed to interface with a variety of ES devices. The EMSC provides the capability to individually monitor and control a wide range of different ES, enabling the extraction of an ES module within a series array to charge or conduct maintenance, while remaining storage can still function to serve a demand. Enhancements and testing of the ESMC are explored in not only interfacing of multiple ES and HESS, but also as a platform to improve management algorithms. There is an imperative need to provide a bridge between the depth of the electrochemical physics of the battery and the power engineering sector, a feat which was accomplished over the course of this work. First, the ESMC was tested on a lead acid battery array to verify its capabilities. Next, physics-based models of lead acid and lithium ion batteries lead to the improvement of both online battery management and established multiple metrics to assess their lifetime, or state of health. Three unique HESS were then tested and evaluated for different applications and purposes. First, a hybrid battery and SC HESS was designed and tested for shipboard power systems. Next, a lithium ion battery and SC HESS was utilized for an electric vehicle application, with the goal to reduce cycling on the battery. Finally, a lead acid battery and flywheel ES HESS was analyzed for how the inclusion of a battery can provide a dramatic improvement in the power quality versus flywheel ES alone.

This thesis investigates the application of autonomic management to a distributed storage system. Effects on performance and resource consumption were measured in experiments, which were carried out in a local area test-bed. The experiments were conducted with components of one specific distributed storage system, but seek to be applicable to a wide range of such systems, in particular those exposed to varying conditions. The perceived characteristics of distributed storage systems depend on their configuration parameters and on various dynamic conditions. For a given set of conditions, one specific configuration may be better than another with respect to measures such as resource consumption and performance. Here, configuration parameter values were set dynamically and the results compared with a static configuration. It was hypothesised that under non-changing conditions this would allow the system to converge on a configuration that was more suitable than any that could be set a priori. Furthermore, the system could react to a change in conditions by adopting a more appropriate configuration. Autonomic management was applied to the peer-to-peer (P2P) and data retrieval components of ASA, a distributed storage system. The effects were measured experimentally for various workload and churn patterns. The management policies and mechanisms were implemented using a generic autonomic management framework developed during this work. The motivation for both groups of experiments was to test management policies with the objective to avoid unsatisfactory situations with respect to resource consumption and performance. Such unsatisfactory situations occur when either the P2P layer or the data retrieval mechanism is configured statically. In a statically configured P2P system two unsatisfactory situations can be identified. The first arises when the frequency with which P2P node states are verified is low and membership churn is high. The P2P node state becomes inaccurate due to a high membership churn, leading to errors during the routing process and a reduction in performance. In this situation it is desirable to increase the frequency to increase P2P state accuracy. The converse situation arises when the frequency is high and churn is low. In this situation network resources are used unnecessarily, which may also reduce performance, making it desirable to decrease the frequency. In ASA’s data retrieval mechanism similar unsatisfactory situations can be identified with respect to the degree of concurrency (DOC). The DOC controls the eagerness with which multiple redundant replicas are retrieved. An unsatisfactory situation arises when the DOC is low and there is a large variation in the times taken to retrieve replicas. In this situation it is desirable to increase the DOC, because by retrieving more replicas in parallel a result can be returned to the user sooner. The converse situation arises when the DOC is high, there is little variation in retrieval time and there is a network bottleneck close to the requesting client. In this situation it is desirable to decrease the DOC, since the low variation removes any benefit in parallel retrieval, and the bottleneck means that decreasing parallelism reduces both bandwidth consumption and elapsed time for the user. The experimental evaluations of autonomic management show promising results, and suggest several future research topics. These include optimisations of the managed mechanisms, alternative management policies, different evaluation methods, and the application of developed management mechanisms to other facets of a distributed storage system. The findings of this thesis could be exploited in building other distributed storage systems that focus on harnessing storage on user workstations, since these are particularly likely to be exposed to varying, unpredictable conditions.

La qualité de la puissance injectée au réseau électrique est une problématique importante pour le développement des énergies marines renouvelables, et en particulier de l'énergie des vagues, ou énergie houlomotrice. En effet la puissance produite par les systèmes houlomoteurs à entrainement direct est très fluctuante (fluctuations de l'ordre de la seconde) à cause de la nature oscillante de la ressource. Afin d'étudier l'impact de l'intégration des ces systèmes sur les réseaux électriques, un modèle permettant de représenter la chaîne depuis la vague jusqu'au réseau électrique a été développé. Les simulations effectuées à l'aide de ce modèle pour différents types de réseau électrique et différents états de mer ont montré que la mise en place de solutions pour améliorer la qualité de la puissance produite était nécessaire. Ainsi l'effet du regroupement et de la dispersion spatiale des systèmes houlomoteurs sur la qualité de la puissance a été étudiée. L'insertion d'un système de stockage dans la chaîne wave-to-wire afin de lisser la puissance a aussi été considérée. Enfin, une partie du modèle a pu être validée à l'aide d'un banc de test Hardware-in-the-loop comprenant un banc moteur, des armoires de puissance pour émuler électronique de puissance et le réseau électrique et un module de supercondensateurs. / Power quality is an important issue for the development of marine renewable energies, in particular wave energy. Due to the oscillatory nature of the oceans waves, the wave energy converters output power profile can present fluctuations in the range of seconds. The impact of these devices on the electric grid therefore needs to be investigated for wave farms to be connected to the grid. In order to emulate an operating direct drive wave energy converter, study power quality improvement and test different control strategies, a wave-to-wiremodel has been developed.Simulations carried out with this model for different grid strengths and different levels of sea-state showed that it is necessary to foster solutions to improve power quality. Thus, the wave energy converters aggregating and dispersion effects on power quality have been investigated. As it does not seem sufficient to meet the grid codes requirements, another solution have been considered, consisting of the insertion of an energy storage system into the chain. Finally, a part of the model has been validated using a hardware-in-the-Loop test bench including a motorbench, power modules to emulate the grid and power electronic's control and super capacitors module.

Depuis deux décennies, la révolution technologique est avant tout numérique entrainant une forte croissance de la quantité de données à stocker. Le rythme de cette croissance est trop importante pour les solutions de stockage matérielles, provoquant une augmentation du coût de l'octet. Il est donc nécessaire d'apporter une amélioration des solutions de stockage ce qui passera par une augmentation de la taille des réseaux et par la diminution des copies de sauvegarde dans les centres de stockage de données. L'objet de cette thèse est d'étudier l'utilisation des codes en graphe dans les réseaux de stockage de donnée. Nous proposons un nouvel algorithme combinant construction de codes en graphe et allocation des noeuds de ce code sur le réseau. Cet algorithme permet d'atteindre les hautes performances des codes MDS en termes de rapport entre le nombre de disques de parité et le nombre de défaillances simultanées pouvant être corrigées sans pertes (noté R). Il bénéficie également des propriétés de faible complexité des codes en graphe pour l'encodage et la reconstruction des données. De plus, nous présentons une étude des codes LDPC Spatiallement-Couplés permettant d'anticiper le comportement de leur décodage pour les applications de stockage de données.Il est généralement nécessaire de faire des compromis entre différents paramètres lors du choix du code correcteur d'effacement. Afin que ce choix se fasse avec un maximum de connaissances, nous avons réalisé deux études théoriques comparatives pour compléter l'état de l'art. La première étude s'intéresse à la complexité de la mise à jour des données dans un réseau dynamique établi et déterminons si les codes linéaires utilisés ont une complexité de mise à jour optimale. Dans notre seconde étude, nous nous sommes intéressés à l'impact sur la charge du réseau de la modification des paramètres du code correcteur utilisé. Cette opération peut être réalisée lors d'un changement du statut du fichier (passage d'un caractère hot à cold par exemple) ou lors de la modification de la taille du réseau. L'ensemble de ces études, associé au nouvel algorithme de construction et d'allocation des codes en graphe, pourrait mener à la construction de réseaux de stockage dynamiques, flexibles avec des algorithmes d'encodage et de décodage peu complexes. / For two decades, the numerical revolution has been amplified. The spread of digital solutions associated with the improvement of the quality of these products tends to create a growth of the amount of data stored. The cost per Byte reveals that the evolution of hardware storage solutions cannot follow this expansion. Therefore, data storage solutions need deep improvement. This is feasible by increasing the storage network size and by reducing data duplication in the data center. In this thesis, we introduce a new algorithm that combines sparse graph code construction and node allocation. This algorithm may achieve the highest performance of MDS codes in terms of the ratio R between the number of parity disks and the number of failures that can be simultaneously reconstructed. In addition, encoding and decoding with sparse graph codes helps lower the complexity. By this algorithm, we allow to generalize coding in the data center, in order to reduce the amount of copies of original data. We also study Spatially-Coupled LDPC (SC-LDPC) codes which are known to have optimal asymptotic performance over the binary erasure channel, to anticipate the behavior of these codes decoding for distributed storage applications. It is usually necessary to compromise between different parameters for a distributed storage system. To complete the state of the art, we include two theoretical studies. The first study deals with the computation complexity of data update and we determine whether linear code used for data storage are update efficient or not. In the second study, we examine the impact on the network load when the code parameters are changed. This can be done when the file status changes (from a hot status to a cold status for example) or when the size of the network is modified by adding disks. All these studies, combined with the new algorithm for sparse graph codes, could lead to the construction of new flexible and dynamical networks with low encoding and decoding complexities.

A utilização de conversores multiníveis tem sido uma importante alternativa para aplicações de alta potência e média tensão, graças aos altos níveis de potência alcançáveis por estas estruturas. Recentemente, esta topologia de conversores foi aplicada em sistemas com fontes alternativas para alimentar um sistema de geração distribuída, nos quais diferentes fontes de energia eram utilizadas. Com base nas características dos conversores multinível e sua potencial aplicabilidade em sistemas de geração distribuída, este trabalho tem como objetivo construir um sistema multinível conectado a rede de distribuição para utilização de fontes alternativas de energia como fontes primárias. Considerando que a energia fornecida pelas fontes alternativas pode sofrer variações, propõe-se a integração de sistemas armazenadores de energia, como capacitores, ao sistema multinível. Por isso, este trabalho desenvolve uma estratégia de controle para máxima transferência de potência ativa entregue à rede a fim de obter um fluxo ótimo. A topologia multinível deste trabalho possui em sua configuração dois módulos inversores conectados em série. Neste caso, é possível que pelo menos um desses inversores funcione com uma modulação em baixa frequência processando a maior parcela de potência. Assim, duas estratégias de controle modulação de fase e modulação de amplitude para a transferência de potência realizada pelo inversor de baixa frequência são analisadas. As vantagens e desvantagens de cada um dos métodos são expostas e então a estratégia mais adequada, no caso a modulação de amplitude, é utilizada na operação do conversor multinível. Além disso, são apresentados a modelagem das plantas e o projeto dos controladores de cada um dos módulos inversores. Por fim, a validação da proposta é feita através dos resultados de simulações e experimentais que mostram a capacidade do sistema de geração em transferir potência constante para a rede de distribuição e manter a corrente quase sem distorções em fase com a tensão. / The utilization of multilevel converters has been an important alternative for medium voltage applications with high power and power quality demand, thanks to the high power levels achievable for this kind of structure. Recently, this converter topology was proposed as a new possibility in renewable energy source applications, mainly in system delivering power to the grid, where different renewable energy resources may be used. Based on the characteristics of multilevel converters, and their potential applicability in distributed generation systems, this study aims to build a multilevel system that could be powered by renewable energy sources as primary sources and then connect them to a distribution grid. However, considering the energy produced by alternative sources can vary, it is analyzed the integration of a storage energy system in this multilevel topology. Taking into account this ends, the main concern of this study is related to the development of a control strategy to maximize the active power transferred to the grid. The multilevel topology employed in this study has two H-bridge inverter modules connected in series forming a cascaded configuration. Therefore, it is possible that at least one of these inverters, operating with a low frequency of modulation, process the majority of power with lower amount of losses. On this way, two control strategies for power transfer are analyzed. The advantages and disadvantages of each method are presented, and the most appropriated strategy is used in the operation of the multilevel converter system. In addition, it has been presented the design criteria for each controller and finally the validation of the proposed approach is done by mains of simulations and experimental results which show the ability of the converter to transfer constant active power to the grid and keep the grid current in phase with the grid voltage.

Des solutions innovantes doivent être développées pour envisager l’avenir des systèmes électriques face à un nombre grandissant de contraintes. En particulier, le stockage d’énergie est pressenti comme un soutien indispensable à l’essor massif dans les réseaux de distribution de sources de production exploitant les énergies renouvelables. Les présents travaux visent à apporter des éléments de réflexion sur cette option technique qui arrive à maturité et suscite l’intérêt. Dans un premier temps, des méthodes d’étude sont proposées pour cerner le potentiel et les opportunités du stockage distribué. Une grille de caractérisation des technologies est introduite et sa mise en œuvre souligne des performances intéressantes à des coûts qui, cependant, demeurent élevés. Pour rendre leur utilisation réaliste, la valeur de ces dispositifs pour les systèmes électriques est donc critique. Nous l’analysons en deux étapes : une classification de leurs services pour les différents acteurs en présence est définie avant d’aborder la mutualisation de fonctions, requise pour favoriser l’atteinte d’une rentabilité, via une approche originale. Cette démarche aboutit à l’identification de configurations porteuses qui méritent des études plus poussées. Pour ce faire, un modèle général de comportement des unités de stockage est développé dans un second temps. Interfacé à un logiciel de simulation dynamique des réseaux, il permet d’évaluer l’utilisation de telles installations pour diverses offres de services. Ces outils sont appliqués et validés expérimentalement sur la caractérisation d’une réserve impulsionnelle fournie par le stockage pour réduire les délestages dans les systèmes insulaires / Innovative solutions must be developed to make future power systems able to overcome a growing number of challenges. In particular, energy storage is thought to be the missing link that will help enable the massive integration of renewable sources in distribution grids. The present research work aims to investigate this new technical option, which has reached maturity and is currently attracting increasing attention. In the first part of the dissertation, general methods to assess the potential and opportunities of distributed energy storage are presented. A framework for characterizing storage technologies is defined and its use highlights interesting performances but high costs. That is why the benefits of such devices for power systems are crucial to their development. The study of this point is carried out in two phases: their applications for various stakeholders of liberalized power systems are first classified and precisely defined; the aggregation of some of these services to increase the profitability of energy storage is then contemplated using a new method. This approach leads to the identification of high-value configurations that deserve further exploration. To this end, a scalable, flexible model of distributed energy storage systems is proposed in the second part of the dissertation. Its implementation in a dynamic simulation software allows the study of advanced storage service packs in power systems. The possibilities offered by these tools are illustrated and experimentally validated on a case study: the provision of a fast frequency control reserve by distributed storage to reduce the use of automatic load-shedding in isolated power systems is analyzed

Orientador: José Roberto Sanches Mantovani / Resumo: O planejamento de curto prazo é uma estratégia de tomada de decisão que visa assegurar o desempenho adequado de um sistema de distribuição de energia elétrica e fornecer um produto de alta qualidade aos usuários finais. Este processo considera ações tradicionais para um controle efetivo no fluxo de potência reativa, fator de potência e magnitude de tensão nas barras do sistema. Nos últimos anos, este tipo de planejamento enfrenta-se com significativos desafios devido à integração de novas tecnologias e a filosofia de operação das redes de distribuição de média tensão. Desta forma, o desenvolvimento de algoritmos e ferramentas computacionais sofisticadas são necessárias para contornar essas complexidades. Nessa perspectiva, neste trabalho apresenta-se uma estratégia para a solução do problema de planejamento de curto prazo para redes de distribuição. Em que, a integração de unidades de geração distribuída e sistemas de armazenamento de energia elétrica é considerada simultaneamente com as ações tradicionais de planejamento para melhorar a eficiência do sistema. Diferentes alternativas de investimento, tais como a localização e dimensionamento de bancos de capacitores, unidades de armazenamento de energia e unidades de geração baseadas em energia fotovoltaica e eólica, seleção e substituição de condutores dos circuitos sobrecarregados e alocação de reguladores de tensão são consideradas como variáveis de decisão no problema de otimização. Adicionalmente, na formulação deste pro... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Short-term planning is a decision-making strategy that aims to enhance proper electric distribution network performance and provide high-quality service to consumers. This process considers traditional planning actions to effectively control the reactive power flow, power factor, and the voltage profile of the network. In the last years, this type of distribution network planning has faced important challenges due to the integration of modern technologies and operating aspects of medium-voltage distribution networks. In this regard, development of sophisticated algorithms and computational tools are necessary to cope with these complexities. In this perspective, a strategy to determine the solution of the short-term planning problem for distribution networks is presented in this work, where, integration of distributed generation units and electric energy storage systems are considered simultaneously with traditional planning actions to improve the network performance. Several investment alternatives such as siting and sizing of capacitors banks, energy storage systems, photovoltaic- and wind- based generation units, conductor replacement of overloaded circuits, and voltage regulators allocation are considered as decision variables in the optimization problem. Additionally, environmental aspects at distribution level are duly addressed via Cap and Trade mechanism. Inherently, this optimization problem is represented by a non-convex mixed integer nonlinear programming problem. ... (Complete abstract click electronic access below) / Doutor

Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-08-02T11:31:43Z No. of bitstreams: 1 Felipe Oliveira.pdf: 3179442 bytes, checksum: 0988804a0a58c2aaf337ea2f5034dc42 (MD5) / Made available in DSpace on 2017-08-02T11:31:43Z (GMT). No. of bitstreams: 1 Felipe Oliveira.pdf: 3179442 bytes, checksum: 0988804a0a58c2aaf337ea2f5034dc42 (MD5) Previous issue date: 2017-02-17 / The locational marginal prices (LMPs) are essential financial guidelines for the electricity industry, which orientates most of the projects and deliberations in electrical market environments. In current scenario of the electricity markets, wind power plants and energy storage systems have been revealing itself as feasible and relevant electrical energy supply alternatives. In this work a generic methodology based on artificial intelligence (AI) techniques is formulated and applied to the calculation and decomposition of LMPs of electric power systems (EPS) with the insertion of energy storage systems and wind farms. In the proposed AI-based methodology the optimal power flow (OPF) model, on which the calculation and decomposition of LMP is based, considers the wind behavior profile volatility, the risks of wind power levels previously scheduled, and the energy storage systems operative peculiarities. The proposed AI-based methodology takes into account the mathematical and computational models of the particle swarm optimization (PSO) algorithm. This proposal was properly implemented and applied for the computation and decomposition of LMPs of test systems and considering different operative scenarios involving conventional power plants, wind farms, and energy storage systems. / Os preços marginais locacionais (LMPs – Locational Marginal Prices) consistem em diretrizes financeiras mercadologicamente indispensáveis para a indústria da eletricidade, os quais norteiam grande parte dos projetos e deliberações no âmbito dos mercados elétricos. No panorama vigente dos mercados elétricos, as plantas de geração eólica e os sistemas de armazenamento de energia vêm progressiva e ininterruptamente se revelando alternativas de suprimento de eletricidade cada vez mais relevantes e viáveis. Neste trabalho, é formulada uma metodologia genérica baseada em técnicas de inteligência artificial (IA) cuja aplicação tem o objetivo de computar e decompor os LMPs associados às barras constituintes de um sistema elétrico de potência (SEP) integrado por geradores convencionais, plantas de geração eólica e por sistemas de armazenamento de energia. Na metodologia IA proposta, o modelo de fluxo de potência ótimo (FPO) sobre o qual se alicerça o cômputo e a decomposição dos LMPs associados às barras de um SEP, leva em consideração a volatilidade inerente ao perfil comportamental dos ventos, os riscos associados à assunção de níveis previamente programados de potência proveniente da geração eólica e as peculiaridades operativas concernentes aos sistemas de armazenamento de energia. Adotando-se os modelos matemáticos e computacionais dos algoritmos de otimização por enxame de partículas (PSO – Particle Swarm Optimization), a metodologia IA proposta foi devidamente implementada e aplicada na aquisição e decomposição dos LMPs associados às barras constituintes de sistemas-testes submetidos a diferentes cenários operativos envolvendo centrais de geração convencionais, plantas de geração eólica e sistemas de armazenamento de energia.