|Table of Contents|

Research on Optimal Configuration of Distributed Power Supplyin Distribution Network Based on Adaptive Particle(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2020年02期
Page:
15-24
Research Field:
电气工程
Publishing date:

Info

Title:
Research on Optimal Configuration of Distributed Power Supplyin Distribution Network Based on Adaptive Particle
Author(s):
Zhang Hang; Ma Gang; Zhong Zetian
School of NARI Electrical and Automation,Nanjing Normal University,Nanjing 210023,China
Keywords:
distributed power supply; power supply reliability; optimized configuration; adaptive particle swarm optimization
PACS:
TM727
DOI:
10.3969/j.issn.1672-1292.2020.02.003
Abstract:
Aiming at the problems of voltage over-limit and power quality degradation caused by distributed power supply distribution network,a distributed power supply optimization configuration method for distribution network with adaptive characteristics is proposed in this paper. The mathematical model of photovoltaic and wind power is established to analyze its power output characteristics. A distributed power optimization configuration model for distribution network is constructed considering the three factors of distributed power generation:cost,environmental cost and active network loss. For the optimal configuration model of multi-objective function and multi-constraint condition,the adaptive particle swarm optimization algorithm is applied to realize adaptive adjustment of learning factor and inertia weight to improve the optimization performance of the algorithm,thus obtaining the best Location and capacity of distributed power. Finally,the IEEE33 node power distribution system is taken as an example for simulation verification. The results show that the proposed adaptive particle swarm optimization algorithm can achieve better power supply reliability and economical requirements than the traditional particle swarm optimization algorithm and chaotic particle swarm optimization algorithm.

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Last Update: 2020-05-15