Optimal Configuration of Distributed Generation in a Distribution Network Considering Environment Effects

Yangzhuyu Zhao, Xinhe Zhang, Ming Zhong, Ying Hong, Tianyang Kan, Xuefei Chang

Ekoloji, 2019, Issue 107, Pages: 1095-1106, Article No: e107129

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Abstract

With the development of smart distribution networks, the future distribution network becomes an important platform for distributed power system in forms of consumption, acceptance and transmission. Reasonably planning the location and capacity of a distributed power supply system can improve the stability margin of the voltage distribution system, reduce the distribution network loss and increase the load rate of a distribution system effectively. However, without a suitable optimization method to solve distributed power supply system problem, it will not only increase system operation cost, but also seriously affect the safe operation of micro grids. Therefore, the problem of optimal configuration such as sizing of distributed power system has become an important research content of distribution network planning. This paper is focus on optimizing a multi-objective programming which relates to the distributed power planning. Considering various optimization objectives such as investment efficiency, voltage stability and the reduction of network loss, this paper builds a multi-objective distributed power optimization model and proposes a configuration method for optimizing the distributed power using improved particle swarm optimization algorithm based on the pareto planning concept. Example analysis shows that the proposed distributed power optimization configuration method has improved the investment benefit of the distributed power system, meanwhile the proposed method can provide a variety of reasonable alternatives from different aspects for decision makers.

Keywords

distributed generation configuration, multi-objective programming, improved particle swarm optimization

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