Planning of the distribution system operation through reconfiguration and optimal placement and sizing of distributed generation using chaotic particle swarm optimization algorithm

• Ano de defesa: 2023
• Autor(a) principal: Asadpour, Seifollah
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Chaotic particle swarm optimization algorithm; Distributed generation; Distribution network reconfiguration; Energy storage system; Photovoltaic system; Power loss; Wind turbines; Algoritmo de otimização de enxame de partículas caóticas; Geração distribuída; Perdas de potência; Reconfiguração da rede de distribuição; Sistema de armazenamento de energia; Sistema fotovoltaico; Turbinas eólicas
• Link de acesso: http://hdl.handle.net/11449/250720

Nowadays, due to the increasing consumption of electricity, the need to produce and transmit electrical energy has increased. Therefore, environmental and economic issues have become more important. A lot of different works have been done to optimize the performance of power grids. One of the most important tasks is the use of energy resources in distribution networks. For many years, diesel generators (DG) have been used as auxiliary sources for power plants in the distribution network. However, in recent years, the use of renewable sources such as solar energy production sources or the photovoltaic system (PV) and wind turbines (WT) and energy storage system (ESS) is also increasing in distribution networks. With the emergence of renewable energies and their injection and their impact on distribution networks has expanded to such an extent that the past analysis methods of the power system are not fully responsive to the need for this change and transformation of electric energy distribution. Power changes in a photovoltaic and wind turbine system, which have uncertainty in the production power, cannot be predicted and is a random process. As a result, its effect on the distribution network will be random. With the increase in the number of photovoltaic systems and wind turbines, their adverse effects will also increase in the networks. If these adverse effects caused by the random process are not well controlled, the problem of power quality in the distribution network will increase. The distribution network can be used in a suitable stability mode. In this thesis, our goal is to improve the performance of distribution systems considering renewable energy along with the reconfiguration of the distribution network, which we will concentrate more on the issue of reducing power loss and improving the voltage profile considering the optimal location of distributed generation and related capacities by using MATLAB software and chaotic particle swarm optimization algorithm (CPSO) on IEEE 33, IEEE 69-bus, 136-bus, and 415-bus systems.