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Distributed Processing System, 2021, 2(3); doi: 10.38007/DPS.2021.020306.

Multi-objective Optimal Configuration of Distributed Generation Considering Environmental Factors

Author(s)

Anuradha Shirley

Corresponding Author:
Anuradha Shirley
Affiliation(s)

Univ Murcia, Dept Ingn & Tecnol Comp, E-30071 Murcia, Spain

Abstract

Although the demand for power efficiency, safety and reliability in today's society is increasing, large-scale power grids cannot meet this requirement due to their own technical problems. Because of its many advantages, distributed generation occupies an increasingly large proportion in the world power system, and it has also attracted widespread attention from all over the world. The purpose of this paper is to optimize the multi-objective configuration. First, the concept of distributed power generation technology is introduced, and the potential impact of distributed power generation on operation after being connected to the distribution network is systematically analyzed. Introducing particle swarm optimization algorithm to transform multi-objective distributed generative optimization problem into single-objective problem. In the optimization process, the adaptive penalty function method can effectively use the useful information of the infeasible solutions to make appropriate penalties for the infeasible solutions. The results of the optimal location of DG show that when the DG capacity is 2000kW, the optimal access location of DG calculated by the method introduced in this paper is 5 nodes, the active power loss at this time is 153.56kW, and the static voltage stability index is 0.0564.

Keywords

Environmental Factors, Distributed Power Generation, Objective Optimization, Particle Swarm Optimization

Cite This Paper

Anuradha Shirley. Multi-objective Optimal Configuration of Distributed Generation Considering Environmental Factors. Distributed Processing System (2021), Vol. 2, Issue 3: 49-57. https://doi.org/10.38007/DPS.2021.020306.

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