Paper Title:
Optimal Capacitor Allocation Based on Fuzzy Inference and Fuzzy Multi-Objective Programming in Distribution Network
  Abstract

This paper presents an algorithm using a stepwise programming method to determine the suitable locations for capacitors installations and their ratings in distribution networks. The Voltage and loss reduction capability of nodes are regarded as input indices. The fuzzy inference method is used to obtain capacitor placement suitability of every node. The node having the highest suitability is selected as the compensation node. The energy losses of three time periods and the peak charge are modeled as optimization objective. Fuzzy multi-objective programming is used to determine the proper sizes of the capacitors. Considering the each capacitor rating interaction, the circulation calculation method is used to recalculate the capacitor rating for compensated nodes. The results of test system demonstrate the effectiveness and practicability of the method.

  Info
Periodical
Advanced Materials Research (Volumes 354-355)
Chapter
Chapter 6: Power System and Automation
Edited by
Hao Zhang, Yang Fu and Zhong Tang
Pages
1099-1104
DOI
10.4028/www.scientific.net/AMR.354-355.1099
Citation
W. Wang, J. L. Zhang, B. Y. Li, "Optimal Capacitor Allocation Based on Fuzzy Inference and Fuzzy Multi-Objective Programming in Distribution Network", Advanced Materials Research, Vols. 354-355, pp. 1099-1104, 2012
Online since
October 2011
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Price
$32.00
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