A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators

被引：85

作者：

Niknam, Taher ^{[1
]}

Firouzi, Bahman Bahmani ^{[2
]}

Ostadi, Amir ^{[3
]}

机构：

[1] Shiraz Univ Technol, Elect & Elect Dept, Shiraz, Iran

[2] Islamic Azad Univ, MArvdasht Branch, Tehran, Iran

[3] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON, Canada

来源：

APPLIED ENERGY | 2010年 / 87卷 / 06期

关键词：

Distributed generators; Fuzzy adaptive particle swarm optimization; Voltage and reactive power control; REACTIVE POWER; DISTRIBUTION-SYSTEMS; VOLTAGE CONTROL; FLOW;

D O I：

10.1016/j.apenergy.2010.01.003

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a novel approach for daily Volt/Var control in distribution systems using Distributed Generation (DG) units. The impact of DG units on Volt/Var control is significant in a distribution network with radial configuration and small X/R ratio. in this paper, a price-based approach is adopted to determine the optimum active and reactive power dispatch for the DG units, the reactive power contribution of the capacitor banks, and the tap settings of the transformers in a day in advance. A fuzzy adaptive particle swarm optimization (FAPSO) method is used to solve the daily Volt/Var control which is a non-linear mixed-integer problem. A mathematical expression of the proposed method and its effectiveness using simulation results are provided. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1919 / 1928

页数：10

共 34 条

[1] Long term electric load forecasting based on particle swarm optimization [J].