Hybrid Power System Intelligent Operation and Protection Involving Distributed Architectures and Pulsed Loads

Efficient and reliable techniques for power delivery and utilization are needed to account for the increased penetration of renewable energy sources in electric power systems. Such methods are also required for current and future demands of plug-in electric vehicles and high-power electronic loads. Distributed control and optimal power network architectures will lead to viable solutions to the energy management issue with high level of reliability and security. This dissertation is aimed at developing and verifying new techniques for distributed control by deploying DC microgrids, involving distributed renewable generation and energy storage, through the operating AC power system. To achieve the findings of this dissertation, an energy system architecture was developed involving AC and DC networks, both with distributed generations and demands. The various components of the DC microgrid were designed and built including DC-DC converters, voltage source inverters (VSI) and AC-DC rectifiers featuring novel designs developed by the candidate. New control techniques were developed and implemented to maximize the operating range of the power conditioning units used for integrating renewable energy into the DC bus. The control and operation of the DC microgrids in the hybrid AC/DC system involve intelligent energy management. Real-time energy management algorithms were developed and experimentally verified. These algorithms are based on intelligent decision-making elements along with an optimization process. This was aimed at enhancing the overall performance of the power system and mitigating the effect of heavy non-linear loads with variable intensity and duration. The developed algorithms were also used for managing the charging/discharging process of plug-in electric vehicle emulators. The protection of the proposed hybrid AC/DC power system was studied. Fault analysis and protection scheme and coordination, in addition to ideas on how to retrofit currently available protection concepts and devices for AC systems in a DC network, were presented. A study was also conducted on the effect of changing the distribution architecture and distributing the storage assets on the various zones of the network on the system’s dynamic security and stability. A practical shipboard power system was studied as an example of a hybrid AC/DC power system involving pulsed loads. Generally, the proposed hybrid AC/DC power system, besides most of the ideas, controls and algorithms presented in this dissertation, were experimentally verified at the Smart Grid Testbed, Energy Systems Research Laboratory. All the developments in this dissertation were experimentally verified at the Smart Grid Testbed.

A novel approach for Modeling the steady-state VSC-based multiline FACTS controllers and their operational constraints

A new, simple approach for modeling and assessing the operation and response of the multiline voltage-source controller (VSC)-based flexible ac transmission system controllers, namely the generalized interline power-flow controller (GIPFC) and the interline power-flow controller (IPFC), is presented in this paper. The model and the analysis developed are based on the converters` power balance method which makes use of the d-q orthogonal coordinates to thereafter present a direct solution for these controllers through a quadratic equation. The main constraints and limitations that such devices present while controlling the two independent ac systems considered, will also be evaluated. In order to examine and validate the steady-state model initially proposed, a phase-shift VSC-based GIPFC was also built in the Alternate Transients Program program whose results are also included in this paper. Where applicable, a comparative evaluation between the GIPFC and the IPFC is also presented.

Assessing the competitiveness of loss allocation methods in a deregulated electricity market

This paper critically assesses several loss allocation methods based on the type of competition each method promotes. This understanding assists in determining which method will promote more efficient network operations when implemented in deregulated electricity industries. The methods addressed in this paper include the pro rata [1], proportional sharing [2], loss formula [3], incremental [4], and a new method proposed by the authors of this paper, which is loop-based [5]. These methods are tested on a modified Nordic 32-bus network, where different case studies of different operating points are investigated. The varying results obtained for each allocation method at different operating points make it possible to distinguish methods that promote unhealthy competition from those that encourage better system operation.

On the Problem of Balancing the DC Capacitor Voltage Divider in Back-to-Back Multilevel Converters

This paper presents a new generalized solution for DC bus capacitors voltage balancing in back-to-back m level diode-clamped multilevel converters connecting AC networks. The solution is based on the DC bus average power flow and exploits the switching configuration redundancies. The proposed balancing solution is particularized for the back-to-back multilevel structure with m=5 levels. This back-to-back converter is studied working with bidirectional power flow, connecting an induction machine to the power grid.

Electric vehicle scenario simulator tool for smart grid operators

This paper presents a simulator for electric vehicles in the context of smart grids and distribution networks. It aims to support network operator´s planning and operations but can be used by other entities for related studies. The paper describes the parameters supported by the current version of the Electric Vehicle Scenario Simulator (EVeSSi) tool and its current algorithm. EVeSSi enables the definition of electric vehicles scenarios on distribution networks using a built-in movement engine. The scenarios created with EVeSSi can be used by external tools (e.g., power flow) for specific analysis, for instance grid impacts. Two scenarios are briefly presented for illustration of the simulator capabilities.

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.

Desenvolvimento e estudo de modelos de FACTS para o trânsito de energia: aplicação ao estudo das condições técnicas de ligação de linhas MAT

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

Modified particle swarm optimization for day-ahead distributed energy resources scheduling including vehicle-to-grid

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Day-ahead Resource Scheduling Including Demand Response for Electric Vehicles

The energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and massive gridable vehicle (V2G) use is envisaged. This paper presents a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and V2G. The main focus is the comparison of different EV management approaches in the day-ahead energy resources management, namely uncontrolled charging, smart charging, V2G and Demand Response (DR) programs i n the V2G approach. Three different DR programs are designed and tested (trip reduce, shifting reduce and reduce+shifting). Othe r important contribution of the paper is the comparison between deterministic and computational intelligence techniques to reduce the execution time. The proposed scheduling is solved with a modified particle swarm optimization. Mixed integer non-linear programming is also used for comparison purposes. Full ac power flow calculation is included to allow taking into account the network constraints. A case study with a 33-bus distribution network and 2000 V2G resources is used to illustrate the performance of the proposed method.

Multi-objective Parallel Particle Swarm Optimization for Day-ahead Vehicle-To-Grid Scheduling

This paper presents a methodology for multi-objective day-ahead energy resource scheduling for smart grids considering intensive use of distributed generation and Vehicle- To-Grid (V2G). The main focus is the application of weighted Pareto to a multi-objective parallel particle swarm approach aiming to solve the dual-objective V2G scheduling: minimizing total operation costs and maximizing V2G income. A realistic mathematical formulation, considering the network constraints and V2G charging and discharging efficiencies is presented and parallel computing is applied to the Pareto weights. AC power flow calculation is included in the metaheuristics approach to allow taking into account the network constraints. A case study with a 33-bus distribution network and 1800 V2G resources is used to illustrate the performance of the proposed method.

Distributed energy resources scheduling considering real-time resources forecast

Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

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.

Rede de Distribuição da ilha Graciosa: Análise e Exploração de Funcionamento

Nos tempos atuais as empresas que atuam no ramo dos sistemas elétricos de energias enfrentam desafios cada vez mais exigentes, dado o enquadramento normativo a que estão sujeitas por parte da entidade reguladora dos serviços energéticos. No caso do Arquipélago dos Açores, o normativo relativo ao regulamento da qualidade de serviço entrou em vigor em 2006, trazendo à EDA,S.A. (Eletricidade dos Açores), entidade responsável pelo transporte e distribuição de energia na região, novas exigências para adequados níveis de eficiência e de garantias aos clientes, no que respeita à qualidade de serviço que lhes é prestado. No âmbito deste trabalho, é efetuado o estudo do trânsito de potência sobre a rede distribuição 15 kV da ilha Graciosa. Para tal, é realizada a modelização da rede no software de rede elétricas porwerworld 8.0. e são idealizados um conjunto de cenários de exploração da rede, que visam simular situações reais que ocorrem na exploração diária da rede de distribuição da ilha. Nas simulações a efetuar consideram-se dois cenários com perfil de carga distintos, um referente à ponta máxima, e outro referente ao vazio mínimo, verificados no ano de 2014. Quanto ao modo de exploração da rede nos cenários a simular, é contemplado o modo de exploração normalmente operado pela empresa gestora, bem como diversas reconfigurações sobre o modo de exploração normalmente operado, realizadas através da abertura e fecho dos aparelhos de corte constituintes da rede. Em todos os cenários simulados, é realizado um estudo relativamente à potência de perdas do sistema, ao perfil da tensão nos diversos postos de transformação, e ao congestionamento de energia verificado nas linhas de distribuição da rede.

Análise da Qualidade de Energia em Instalações Eléctricas com MiniProdução

Com a alteração da legislação energética em Portugal, nomeadamente a implementação da legislação de Micro e Minigeração, a produção distribuída cresceu de forma exponencial na rede elétrica nacional, diminuindo por um lado as perdas no transporte e distribuição, e por outro aumentando a complexidade na gestão do trânsito de potência ao Distribuidor. No entanto a motivação desta dissertação prende-se com o facto de que as centrais de produção distribuída, em particular as de tecnologia fotovoltaica, pela sua dimensão, serem instaladas nos pontos de consumo, em paralelo com a instalação elétrica de utilização do cliente e como tal, têm sido verificadas diversas anomalias no funcionamento e exploração das mesmas, por influência da má qualidade de energia resultante das más condições de funcionamento e exploração em que se encontram as instalações de consumo. A presente dissertação pretende apresentar uma descrição das anomalias mais frequentes verificadas nas centrais fotovoltaicas de minigeração com origem na qualidade da energia que transita das instalações elétricas de consumo ligadas ao mesmo ponto de interligação com a rede elétrica nacional. Como base de fundamento, foram demonstradas através de três casos práticos reais, algumas das mais frequentes e prejudiciais anomalias descritas na presente dissertação. Foram escolhidos 3 casos reais com diferentes tipos de instalação de consumo sendo que um deles não apresenta qualquer anomalia de forma a comprovar o bom funcionamento em condições normais de ambas as instalações. Foram encontradas e demonstradas várias soluções paras os diferentes tipos de anomalias, no entanto esta dissertação vai permitir não só a resolução deste tipo de anomalias em centrais fotovoltaicas em exploração e já com prejuízos avultados mas também introduzir em futuras instalações a análise da qualidade da energia nas instalações de consumo em fase preliminar de estudo de implementação de centrais fotovoltaicas de minigeração e de autoconsumo, precavendo futuros problemas de rentabilidade técnico-económica. Este estudo, irá certamente servir de motor de impulsão para a preocupação com a Qualidade da Energia essencialmente dentro das instalações elétricas de consumo sensibilizando os seus gestores energéticos. Poderá ainda impulsionar a reformulação do Regulamento de Qualidade de Serviço para exigências ainda mais apertadas de forma a incorporar algumas das anomalias aqui descritas, sendo por isso um elemento de alerta para todos os “Players” do Sistema Elétrico Nacional tendo como limite a melhoria continua da Segurança e da Qualidade da energia na rede elétrica beneficiando da sensibilização de todos os intervenientes.

A test of the predictive validity of non-linear QALY models using time trade-off utilities

This paper presents a test of the predictive validity of various classes ofQALY models (i.e., linear, power and exponential models). We first estimatedTTO utilities for 43 EQ-5D chronic health states and next these states wereembedded in health profiles. The chronic TTO utilities were then used topredict the responses to TTO questions with health profiles. We find that thepower QALY model clearly outperforms linear and exponential QALY models.Optimal power coefficient is 0.65. Our results suggest that TTO-based QALYcalculations may be biased. This bias can be avoided using a power QALY model.