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Shrinking net algorithm and its application in power flow optimization of low-voltage distribution system

  • Haoming Liu*
  • , Fangfang Zhu
  • , Chengchen Qian
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

Abstract

Aiming at the three-phase unbalance and multiple distributed sources in low-voltage distribution network, a distribution network optimization model is built, including distributed sources, on-load tap changers, reactive power compensators and plug-in hybrid electric vehicles. A kind of heuristic algorithm, the shrinking net algorithm, is proposed, which condenses gradually the search space inward from the initial boundary population. Its updating iterative formula and calculation steps are given and its convergence is mathematically derived. An improved forward backward sweep algorithm is proposed to effectively deal with the three-phase unbalance and incomplete-phase operation of low-voltage distribution network. The shrinking net algorithm is applied to a test case and IEEE 123-bus system. The optimization results show the proposed algorithm is effective and feasible.

Original languageEnglish
Pages (from-to)43-48
Number of pages6
JournalDianli Zidonghua Shebei / Electric Power Automation Equipment
Volume34
Issue number4
DOIs
Publication statusPublished - Apr 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Free Keywords

  • Convergence
  • Distributed power generation
  • Electric power distribution
  • Improved forward backward sweep algorithm
  • Optimal power flow
  • Optimization
  • Shrinking net algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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