Optimal location and size for various renewable distributed generators in distribution networks.


Abstract:

This paper proposes an efficient methodology to optimally determine the best location and optimum size for Distributed Generators (DG), in a distribution network, while minimizing energy losses and improving voltage profile. The proposed methodology has been designed to consider variable demand and variable DG production scenarios, offering a set of optimum values for DG active power output and power factor. The optimization here presented uses the Genetic Algorithm (GA), and the OpenDSS power flow solver feature. The method has been tested on the IEEE 37 node test system comparing voltage profile and energy losses in three scenarios. Additional tests on the IEEE 123 node, 34 node and 13 node has been performed to compare the method proposed with results found in the literature.

Año de publicación:

2017

Keywords:

  • sizing
  • Optimization
  • Photovoltaic
  • Genetic Algorithm
  • Location
  • distributed generation

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Energía renovable
  • Energía renovable
  • Política energética

Áreas temáticas:

  • Física aplicada
  • Economía de la tierra y la energía