Demand response in electrical energy supply: an optimal real time pricing approach

In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.

Emergency energy resource management in SmartGrids

Energy resources management can play a very relevant role in future power systems in a SmartGrid context, with intensive penetration of distributed generation and storage systems. This paper deals with the importance of resource management in incident situations. The paper presents DemSi, an energy resources management simulator that has been developed by the authors to simulate electrical distribution networks with high distributed generation penetration, storage in network points and customers with demand response contracts. DemSi is used to undertake simulations for an incident scenario, evidencing the advantages of adequately using flexible contracts, storage, and reserve in order to limit incident consequences.

A probabilistic methodology for distributed generation location in isolated electrical service area

Distributed generation unlike centralized electrical generation aims to generate electrical energy on small scale as near as possible to load centers, interchanging electric power with the network. This work presents a probabilistic methodology conceived to assist the electric system planning engineers in the selection of the distributed generation location, taking into account the hourly load changes or the daily load cycle. The hourly load centers, for each of the different hourly load scenarios, are calculated deterministically. These location points, properly weighted according to their load magnitude, are used to calculate the best fit probability distribution. This distribution is used to determine the maximum likelihood perimeter of the area where each source distributed generation point should preferably be located by the planning engineers. This takes into account, for example, the availability and the cost of the land lots, which are factors of special relevance in urban areas, as well as several obstacles important for the final selection of the candidates of the distributed generation points. The proposed methodology has been applied to a real case, assuming three different bivariate probability distributions: the Gaussian distribution, a bivariate version of Freund’s exponential distribution and the Weibull probability distribution. The methodology algorithm has been programmed in MATLAB. Results are presented and discussed for the application of the methodology to a realistic case and demonstrate the ability of the proposed methodology for efficiently handling the determination of the best location of the distributed generation and their corresponding distribution networks.

Gestão de instalações eléctricas para optimização do desempenho, eficiência e qualidade de energia em grandes edifícios com integração de Miniprodução

As alterações climáticas e as emissões de CO2 são questões que suscitam a nível internacional e nacional o desenvolvimento de estratégias que atenuem os seus impactes. A Eficiência Energética (EE) é essencial para que num futuro próximo não haja impactes significativos no meio ambiente devido a elevado e ineficiente consumo energético. A União Europeia (UE) e Portugal têm desenvolvido políticas e programas que estimulam a eficiência energética, bem como a diminuição de gases com efeito de estufa (GEE) e a promoção da utilização de fontes de energia renovável. Por outro lado vivemos numa sociedade que passa cerca de 80% do seu tempo em edifícios e, nestes, é consumida 40% da energia mundial. Com uma dependência energética superior a 80%, Portugal tem vindo a apostar, nos últimos anos, em fontes de energia renovável. Esta aposta serve como substituição de fontes, mas não leva directamente à redução de consumos. A redução da factura de energia só pode ser atingida com uma maior eficiência energética e melhores práticas de gestão de energia em edifícios, transportes e industria. Esta dissertação centra-se especificamente num conjunto de edifícios públicos, património municipal da autarquia de Matosinhos, cujo modelo de fornecimento da energia eléctrica é passível de análise crítica no sentido de uma optimização radical ao nível da concepção da rede e exploração, com consequente redução de custos ao nível da facturação. Esta nova metodologia de exploração e gestão de sistemas eléctricos incidirá na criação de um “campus” energético autárquico resultante do novo layout da rede e respectivo fornecimento de energia a partir da rede de distribuição pública. O estudo permitirá fornecer ferramentas fundamentais para a gestão municipal e empresarial ao nível da sustentabilidade energética nos edifícios públicos com abrangência aos serviços empresariais. De referir que a gestão das instalações eléctricas para optimização do desempenho, eficiência e qualidade de energia é aplicável aos 308 municípios nacionais com relevância para as empresas que apresentam consumos significativos nos seus edifícios. Enquanto funcionário da Câmara Municipal de Matosinhos, este município foi uma escolha natural como referência, na análise da relação existente entre a administração local e a gestão da energia. Para ajudar à análise foi efectuado um benchmarketing a cinco edifícios municipais: Edifício dos Paços do Concelho, Biblioteca Municipal Florbela Espanca, Palacete Visconde Trevões, ex-Edifício dos SMAS e Edifício do ex-Tribunal, visando potenciar a correcta gestão de energia destes edifícios por parte das entidades que os gerem, perante novas oportunidades de melhoria e soluções encontradas. Como contributo às metas impostas pela Directiva 2009/28/CE para 2020, a qual prevê uma redução de 20% no consumo final de energia através da eficiência energética, a incorporação de 20% de energia renovável no consumo energético global e a consequente redução em 20% da emissão de GEE, é apresentado um estudo ao nível de um parque fotovoltaico com a componente técnica e económica.

Redes de distribuição de gás natural: projeto e desenvolvimento

Atualmente o gás natural é a principal fonte de energia utilizada pela maioria dos europeus nos setores doméstico, terciário e industrial. É considerado a alternativa energética do futuro e a mais ecologicamente correta de que podemos dispor, numa escala compatível com as elevadas necessidades energéticas da Humanidade a nível global. Aliado a estes factos, surgem cada vez mais regras de boa prática, normas e legislação, nomeadamente especificações técnicas de forma a regular o setor e dotar as entidades intervenientes na conceção e controlo de uma instalação de rede de gás, de um conhecimento mais detalhado e atualizado sobre esta matéria. Esta dissertação pretende assim contribuir para a melhoria e modernização do desempenho de todos os que exercem funções neste setor, com vista ao aperfeiçoamento da qualidade e utilidade dos seus serviços. Este trabalho reúne o conjunto de informação técnica presente na legislação e normas de forma a preencher a eventual falha do conhecimento neste ramo por parte destes profissionais dotando-os de um conhecimento mais aprofundado, de modo a que possam executar corretamente e de forma eficaz o seu trabalho. Por outro lado, esta dissertação tem como objetivo o projeto e desenvolvimento de uma rede de distribuição de gás natural aplicado a três redes concretas: rede de distribuição, edifício e moradia. A conceção do projeto de instalação de gás inicia-se com a recolha de informação, seguindo-se o desenvolvimento do estudo do traçado. Assim, estão reunidas as condições para dimensionar e providenciar a escolha de materiais mais adequados para a execução da obra. A metodologia de dimensionamento adotada teve por base a equação dos gases perfeitos e a fórmula de Renouard simplificada, encontrando-se implementada numa folha de cálculo. Esta ferramenta de cálculo aliada à metodologia permite realizar de forma expedita o correto dimensionamento de uma rede de gás, bem como apurar se a velocidade de escoamento se encontra em conformidade com o definido no projeto.

Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players

The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.

Análise ao Sistema de Alimentação de Tração Elétrica (1x25 kV - Rede convencional, 2x25 kV –Rede convencional + Alta velocidade)

O transporte ferroviário é um meio de transporte em que o meio de deslocamento ocorre por meio de vias férreas, transportando, entre outros, pessoas e cargas. Este meio de transporte é um dos mais antigos e a sua origem está ligada directamente com a Primeira Revolução Industrial, acontecimento histórico que sucedeu na Europa no final do século XVIII e início do século XIX. Uma rede ferroviária é um sistema único no ponto de vista do uso de tração elétrica assim como no modo que se insere na sociedade por ser um meio de transporte seguro, rápido e bastante utilizado pela população. As redes de alimentação de energia (transporte e distribuição) e a rede de alta velocidade ditaram novas soluções para a alimentação elétrica ferroviária contribuindo para a sua evolução técnica, na segurança e também na compatibilidade eletromagnética no sentido de se estabelecerem critérios de controlo e prevenção dos efeitos indesejáveis provocados pela interferência magnética. O presente trabalho tem por objetivo analisar e estudar tecnicamente como se comportam as redes que alimentam os veículos de tração elétrica desde as subestações até à alimentação das locomotivas. Dada a complexidade da sua análise torna-se necessário o recurso a ferramentas de simulação mais ou menos complexas. No presente trabalho recorreu-se ao MATLABTM, nomeadamente, ao MATLABTM/Simulink. Foram analisadas as principais grandezas elétricas em cenários distintos para os sistemas de alimentação da catenária de 1x25 kV e 2x25 kV.

Electricity markets modeling considering complex contracts and aggregators

All over the world, the liberalization of electricity markets, which follows different paradigms, has created new challenges for those involved in this sector. In order to respond to these challenges, electric power systems suffered a significant restructuring in its mode of operation and planning. This restructuring resulted in a considerable increase of the electric sector competitiveness. Particularly, the Ancillary Services (AS) market has been target of constant renovations in its operation mode as it is a targeted market for the trading of services, which have as main objective to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. In this way, with the increasing penetration of distributed energy resources including distributed generation, demand response, storage units and electric vehicles, it is essential to develop new smarter and hierarchical methods of operation of electric power systems. As these resources are mostly connected to the distribution network, it is important to consider the introduction of this kind of resources in AS delivery in order to achieve greater reliability and cost efficiency of electrical power systems operation. The main contribution of this work is the design and development of mechanisms and methodologies of AS market and for energy and AS joint market, considering different management entities of transmission and distribution networks. Several models developed in this work consider the most common AS in the liberalized market environment: Regulation Down; Regulation Up; Spinning Reserve and Non-Spinning Reserve. The presented models consider different rules and ways of operation, such as the division of market by network areas, which allows the congestion management of interconnections between areas; or the ancillary service cascading process, which allows the replacement of AS of superior quality by lower quality of AS, ensuring a better economic performance of the market. A major contribution of this work is the development an innovative methodology of market clearing process to be used in the energy and AS joint market, able to ensure viable and feasible solutions in markets, where there are technical constraints in the transmission network involving its division into areas or regions. The proposed method is based on the determination of Bialek topological factors and considers the contribution of the dispatch for all services of increase of generation (energy, Regulation Up, Spinning and Non-Spinning reserves) in network congestion. The use of Bialek factors in each iteration of the proposed methodology allows limiting the bids in the market while ensuring that the solution is feasible in any context of system operation. Another important contribution of this work is the model of the contribution of distributed energy resources in the ancillary services. In this way, a Virtual Power Player (VPP) is considered in order to aggregate, manage and interact with distributed energy resources. The VPP manages all the agents aggregated, being able to supply AS to the system operator, with the main purpose of participation in electricity market. In order to ensure their participation in the AS, the VPP should have a set of contracts with the agents that include a set of diversified and adapted rules to each kind of distributed resource. All methodologies developed and implemented in this work have been integrated into the MASCEM simulator, which is a simulator based on a multi-agent system that allows to study complex operation of electricity markets. In this way, the developed methodologies allow the simulator to cover more operation contexts of the present and future of the electricity market. In this way, this dissertation offers a huge contribution to the AS market simulation, based on models and mechanisms currently used in several real markets, as well as the introduction of innovative methodologies of market clearing process on the energy and AS joint market. This dissertation presents five case studies; each one consists of multiple scenarios. The first case study illustrates the application of AS market simulation considering several bids of market players. The energy and ancillary services joint market simulation is exposed in the second case study. In the third case study it is developed a comparison between the simulation of the joint market methodology, in which the player bids to the ancillary services is considered by network areas and a reference methodology. The fourth case study presents the simulation of joint market methodology based on Bialek topological distribution factors applied to transmission network with 7 buses managed by a TSO. The last case study presents a joint market model simulation which considers the aggregation of small players to a VPP, as well as complex contracts related to these entities. The case study comprises a distribution network with 33 buses managed by VPP, which comprises several kinds of distributed resources, such as photovoltaic, CHP, fuel cells, wind turbines, biomass, small hydro, municipal solid waste, demand response, and storage units.

Gestão de Recursos Energéticos para Apoio à Operação dos Virtual Power Players

A liberalização dos mercados de energia elétrica e a crescente integração dos recursos energéticos distribuídos nas redes de distribuição, nomeadamente as unidades de produção distribuída, os sistemas de controlo de cargas através dos programas de demand response, os sistemas de armazenamento e os veículos elétricos, representaram uma evolução no paradigma de operação e gestão dos sistemas elétricos. Este novo paradigma de operação impõe o desenvolvimento de novas metodologias de gestão e controlo que permitam a integração de todas as novas tecnologias de forma eficiente e sustentável. O principal contributo deste trabalho reside no desenvolvimento de metodologias para a gestão de recursos energéticos no contexto de redes inteligentes, que contemplam três horizontes temporais distintos (24 horas, 1 hora e 5 minutos). As metodologias consideram os escalonamentos anteriores assim como as previsões atualizadas de forma a melhorar o desempenho total do sistema e consequentemente aumentar a rentabilidade dos agentes agregadores. As metodologias propostas foram integradas numa ferramenta de simulação, que servirá de apoio à decisão de uma entidade agregadora designada por virtual power player. Ao nível das metodologias desenvolvidas são propostos três algoritmos de gestão distintos, nomeadamente para a segunda (1 hora) e terceira fase (5 minutos) da ferramenta de gestão, diferenciados pela influência que os períodos antecedentes e seguintes têm no período em escalonamento. Outro aspeto relevante apresentado neste documento é o teste e a validação dos modelos propostos numa plataforma de simulação comercial. Para além das metodologias propostas, a aplicação permitiu validar os modelos dos equipamentos considerados, nomeadamente, ao nível das redes de distribuição e dos recursos energéticos distribuidos. Nesta dissertação são apresentados três casos de estudos, cada um com diferentes cenários referentes a cenários de operação futuros. Estes casos de estudos são importantes para verificar a viabilidade da implementação das metodologias e algoritmos propostos. Adicionalmente são apresentadas comparações das metodologias propostas relativamente aos resultados obtidos, complexidade de gestão em ambiente de simulação para as diferentes fases da ferramenta proposta e os benefícios e inconvenientes no uso da ferramenta proposta.

Investment optimization in distribution network based on fuzzy outage parameters

This paper presents a methodology that aims to increase the probability of delivering power to any load point of the electrical distribution system by identifying new investments in distribution components. The methodology is based on statistical failure and repair data of the distribution power system components and it uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A mixed integer non-linear optimization technique is developed to identify adequate investments in distribution networks components that allow increasing the availability level for any customer in the distribution system at minimum cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a real distribution network.

Hybrid fuzzy Monte Carlo and logic programming model for distribution network reconfiguration in the presence of outages

This paper presents a methodology for distribution networks reconfiguration in outage presence in order to choose the reconfiguration that presents the lower power losses. The methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. Once obtained the system states by Monte Carlo simulation, a logical programming algorithm is applied to get all possible reconfigurations for every system state. In order to evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation a distribution power flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology to a practical case, the paper includes a case study that considers a real distribution network.

Logic programming and fuzzy Monte Carlo for distribution network reconfiguration

This paper present a methodology to choose the distribution networks reconfiguration that presents the lower power losses. The proposed methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modeling for system component outage parameters. The proposed hybrid method using fuzzy sets and Monte Carlo simulation based on the fuzzyprobabilistic models allows catching both randomness and fuzziness of component outage parameters. A logic programming algorithm is applied, once obtained the system states by Monte Carlo Simulation, to get all possible reconfigurations for each system state. To evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation an AC load flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 115 buses distribution network.

Optimization techniques for power distribution planning with uncertainties: a comparative study

Important research effort has been devoted to the topic of optimal planning of distribution systems. The non linear nature of the system, the need to consider a large number of scenarios and the increasing necessity to deal with uncertainties make optimal planning in distribution systems a difficult task. Heuristic techniques approaches have been proposed to deal with these issues, overcoming some of the inherent difficulties of classic methodologies. This paper considers several methodologies used to address planning problems of electrical power distribution networks, namely mixedinteger linear programming (MILP), ant colony algorithms (AC), genetic algorithms (GA), tabu search (TS), branch exchange (BE), simulated annealing (SA) and the Bender´s decomposition deterministic non-linear optimization technique (BD). Adequacy of theses techniques to deal with uncertainties is discussed. The behaviour of each optimization technique is compared from the point of view of the obtained solution and of the methodology performance. The paper presents results of the application of these optimization techniques to a real case of a 10-kV electrical distribution system with 201 nodes that feeds an urban area.

AI in power systems and energy markets

In a world increasingly conscientious about environmental effects, power and energy systems are undergoing huge transformations. Electric energy produced from power plants is transmitted and distributed to end users through a power grid. The power industry performs the engineering design, installation, operation, and maintenance tasks to provide a high-quality, secure energy supply while accounting for its systems’ abilities to withstand uncertain events, such as weather-related outages. Competitive, deregulated electricity markets and new renewable energy sources, however, have further complicated this already complex infrastructure.Sustainable development has also been a challenge for power systems. Recently, there has been a signifi cant increase in the installation of distributed generations, mainly based on renewable resources such as wind and solar. Integrating these new generation systems leads to more complexity. Indeed, the number of generation sources greatly increases as the grid embraces numerous smaller and distributed resources. In addition, the inherent uncertainties of wind and solar energy lead to technical challenges such as forecasting, scheduling, operation, control, and risk management. In this special issue introductory article, we analyze the key areas in this field that can benefi t most from AI and intelligent systems now and in the future.We also identify new opportunities for cross-fertilization between power systems and energy markets and intelligent systems researchers.

Demand response in future power systems management – a conceptual framework and simulation tool

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia