Fuzzy Systems and its Applications

Fuzzy Systems and its Applications

Power management in hybrid power generation systems based on solar-wind and diesel generators in distribution networks using fuzzy functions

Document Type : Original Article

Author
University of Ayatolah Boroojerdi, Boroojerd, Iran
10.22034/jfsa.2024.456723.1205
Abstract
The growing demand for reliable and sustainable electricity has led to increased interest in photovoltaic-wind-diesel hybrid systems based on distributed generation sources. These systems combine renewable energy sources with distributed generation sources to provide electricity, especially in remote areas or microgrids. However, it is crucial to optimize the performance of such systems to maximize their benefits and achieve a balance between cost, reliability and environmental impact. Therefore, in this article, a multi-objective optimization method has been modeled to reduce energy production costs, improve the network voltage level with reference to the power changes of renewable power plants, and finally increase the reliability of the network with the aim of reducing the amount of interruptions of network loads. Also, due to the different structure of the objective functions, the fuzzy method has been used to make the objective functions fuzzy, and the optimization method used is based on a meta-heuristic optimization algorithm called multi-faceted optimization, which is based on the behavior of the emergence of new stars. Inspired. Finally, the results are implemented on the 33-bus test network in IEEE standard island mode.
Keywords
Subjects

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Volume 7, Issue 1 - Serial Number 14
Open Access Statement
June 2024
Pages 53-77

  • Receive Date 10 May 2024
  • Revise Date 09 July 2024
  • Accept Date 16 August 2024