969 resultados para Distributed Generation (DG)


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The smart grid concept is a key issue in the future power systems, namely at the distribution level, with deep concerns in the operation and planning of these systems. Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized. The increasing integration of demand response and distributed generation resources, all of them mostly with small scale distributed characteristics, leads to the need of aggregating entities such as Virtual Power Players. The operation business models become more complex in the context of smart grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The optimal schedule minimizes the operation costs and it is obtained using a particle swarm optimization approach, which is compared with a deterministic approach used as reference methodology. The proposed method is applied to a 33-bus distribution network with 32 medium voltage consumers and 66 distributed generation units.

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Demand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods.

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Following the deregulation experience of retail electricity markets in most countries, the majority of the new entrants of the liberalized retail market were pure REP (retail electricity providers). These entities were subject to financial risks because of the unexpected price variations, price spikes, volatile loads and the potential for market power exertion by GENCO (generation companies). A REP can manage the market risks by employing the DR (demand response) programs and using its' generation and storage assets at the distribution network to serve the customers. The proposed model suggests how a REP with light physical assets, such as DG (distributed generation) units and ESS (energy storage systems), can survive in a competitive retail market. The paper discusses the effective risk management strategies for the REPs to deal with the uncertainties of the DAM (day-ahead market) and how to hedge the financial losses in the market. A two-stage stochastic programming problem is formulated. It aims to establish the financial incentive-based DR programs and the optimal dispatch of the DG units and ESSs. The uncertainty of the forecasted day-ahead load demand and electricity price is also taken into account with a scenario-based approach. The principal advantage of this model for REPs is reducing the risk of financial losses in DAMs, and the main benefit for the whole system is market power mitigation by virtually increasing the price elasticity of demand and reducing the peak demand.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

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Desenvolupament dels models matemàtics necessaris per a controlar de forma òptima la microxarxa existent als laboratoris del Institut de Recerca en Energia de Catalunya. Els algoritmes s'implementaran per tal de simular el comportament i posteriorment es programaran directament sobre els elements de la microxarxa per verificar el seu correcte funcionament.. Desenvolupament dels models matemàtics necessaris per a controlar de forma òptima la microxarxa existent als laboratoris del Institut de Recerca en Energia de Catalunya. Els algoritmes s'implementaran per tal de simular el comportament i posteriorment es programaran directament sobre els elements de la microxarxa per verificar el seu correcte funcionament.

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Hajautetun tuotannon määrä kasvaa jakeluverkossa tulevaisuudessa ja siksi jakeluverkon toiminta tulee muuttumaan aktiivisempaan suuntaan. Nykyisin tuotannon aiheuttamaa jännitteennousua rajoitetaan yleensä passiivisilla menetelmillä kuten vahvistamalla verkkoa. Tuotantolaitos ei tällöin osallistu jakeluverkon jännitteensäätöön. Tämä saattaa nostaa kapasiteetiltaan suurehkon tuotannon liittymiskustannukset niin korkeiksi, ettei tuotantolaitosta kannata rakentaa. Aktiivisella jännitteensäädöllä tuotantokapasiteettia voitaisiin merkittävästi kasvattaa nykyisissä jakeluverkoissa. Aktiivinen jännitteensäätö voi perustua joko paikalliseen säätöön, jolloin esim. tuotantolaitosta säädetään paikallisen jännitteen perusteella tai koordinoituun säätöön, jolloin verkon komponentteja säädetään kokonaisuutena. Työssä tutustutaan hajautettuun tuotantoon ja sen vaikutuksiin jakeluverkon jännitetasoissa sekä jännitteensäädössä. Työssä edetään passiivisesta jännitteensäädöstä aktiiviseen jännitteensäätöön. Aktiivisessa jännitteensäädössä tutustutaan muutamaan kirjallisuudessa esitettyyn algoritmiin ja käytännön toteutukseen. Työssä keskitytään vain verkon jännitetasoon, eikä muita jännitteen laadun ominaisuuksia oteta huomioon.

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This paper presents a comparison of reactive power support in distribution networks provided by switched Capacitor Banks (CBs) and Distributed Generators (DGs). Regarding switched CBs, a Tabu Search metaheuristic algorithm is developed to determine their optimal operation with the objective of reducing the power losses in the lines on the system, while meeting network constraints. on the other hand, the optimal operation of DGs is analyzed through an evolutionary Multi-Objective (MO) programming approach. The objectives of such approach are the minimization of power losses and operation cost of the DGs. The comparison of the reactive power support provided by switched CBs and DGs is carried out using a modified IEEE 34 bus distribution test system.

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In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing based on the Loss of Opportunity Costs (LOC) calculation. An algorithm is proposed to reduce the uncertainty present in these generators using Multiobjective Power Flows (MOPFs) implemented in multiple probabilistic scenarios through Monte Carlo Simulations (MCS), and modeling the time series associated with the generation of active power from DGs through Markov Chains (MC). © 2011 IEEE.

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This paper proposes a new methodology to control the power flow between a distributed generator (DG) and the electrical power distribution grid. It is used the droop voltage control to manage the active and reactive power. Through this control a sinusoidal voltage reference is generated to be tracked by voltage loop and this loop generates the current reference for the current loop. The proposed control introduces feed-forward states improving the control performance in order to obtain high quality for the current injected to the grid. The controllers were obtained through the linear matrix inequalities (LMI) using the D-stability analysis to allocate the closed-loop controller poles. Therefore, the results show quick transient response with low oscillations. Thus, this paper presents the proposed control technique, the main simulation results and a prototype with 1000VA was developed in the laboratory in order to demonstrate the feasibility of the proposed control. © 2012 IEEE.

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Fontes renováveis de energia baseadas na geração fotovoltaica (GFV) são alternativas energéticas promissoras para a complementação da geração elétrica convencional e centralizada, como usinas térmicas a diesel que suprem potência para redes elétricas isoladas em cidades e localidades remotas na Amazônia. A alocação e o dimensionamento de geradores para aplicação como geração distribuída (GD) é um problema desafiador, com implicações técnicas e econômicas, relacionadas ao planejamento, projeto e operação da rede e, particularmente, a GFV em função das condições ambientais, principalmente radiação solar e temperatura ambiente. Esta tese apresenta uma metodologia analítica para alocar e dimensionar a potência ativa de unidades de geração fotovoltaica, composta pelo gerador FV integrado ao inversor CC/CA (GDFV) para integração, de forma concentrada ou dispersa em redes isoladas de média tensão, e contempla o atendimento de múltiplos objetivos, melhoria do perfil de tensão da rede, redução das perdas ativas e redução da participação da geração a diesel, proporcionando redução no consumo de óleo diesel e, consequentemente, redução da poluição ambiental. A solução global do método proposto constitui um compromisso em relação a esses objetivos, apresentando ponderações diferenciadas para os mesmos, de acordo com prioridades estabelecidas no planejamento do sistema elétrico sob estudo. Para validação da metodologia proposta, foram modeladas e simuladas as redes de 33 e 69 barras do IEEE e um sistema elétrico isolado, cuja usina térmica a diesel supre alimentação para a cidade de Aveiro-PA, Região Amazônica, obtendo-se como resultados dessas simulações melhoria significativa no perfil de tensão, redução nas perdas ativas e na potência de geração a diesel, de acordo com indicadores técnicos que permitem a avaliação quantitativa da integração da GDFV na rede elétrica.

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Usually, ancillary services are provided by large conventional generators; however, with the growing interest in distributed generation to satisfy energy and environmental requirements, it seems reasonable to assume that these services could also be provided by distributed generators in an economical and efficient way. In this paper, a proposal for enhancement of the capacity of active power reserve for frequency control using distributed generators is presented. The goal is to minimize the payments done by the transmission system operator to conventional and distributed generators for this ancillary service and for the energy needed to satisfy loads and system losses, subject to a set of constraints. In order to perform analysis, the proposal was implemented using data of the IEEE 30-bus transmission test system. Comparisons were performed considering conventional generators without and with distributed generators installed in the system.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In a smart grid environment, attention should be paid not only to the power supplied to satisfy loads and system losses but also to the services necessary to provide security and stability to the system: the so-called ancillary services. As they are well known the benefits that distributed generation can bring to electrical systems and to the environment, in this work the possibility that active power reserve for frequency control could be provided by distributed generators (DGs) in an efficient and economical way is explored. The proposed methodology was tested using the IEEE 34-bus distribution test system. The results show improvements in the capacity of the system for this ancillary service and decrease in system losses and payments of the distribution system operator to the DGs.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Synchronous distributed generators are prone to operate islanded after contingencies, which is usually not allowed due to safety and power-quality issues. Thus, there are several anti-islanding techniques; however, most of them present technical limitations so that they are likely to fail in certain situations. Therefore, it is important to quantify and determine whether the scheme under study is adequate or not. In this context, this paper proposes an index to evaluate the effectiveness of anti-islanding frequency-based relays commonly used to protect synchronous distributed generators. The method is based on the calculation of a numerical index that indicates the time period that the system is unprotected against islanding considering the global period of analysis. Although this index can precisely be calculated based on several electromagnetic transient simulations, a practical method is also proposed to calculate it directly from simple analytical formulas or lookup tables. The results have shown that the proposed approach can assist distribution engineers to assess and set anti-islanding protection schemes.