Mid-term operational planning of pre-installed voltage regulators in distribution networks

Mehdi Attar, Sami Repo, Omid Homaee, Pierluigi Siano

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

In this paper, a methodology is presented to maximize the effectiveness of pre-installed Voltage Regulators (VRs) in medium voltage distribution networks. While considering the daily tap operation limitation of VRs, this method contains mid-term operational planning of VRs' settings which is carried out to satisfy voltage constraints in distribution networks and reduce power losses throughout the network. The proposed approach optimizes the settings periodically, leading to Distribution System Operators (DSOs) ' financial benefit because energy losses are reduced by applying the proposed method. Using different combinations of ZIP load model coefficients in the optimization process, the importance and impacts of the load model in the optimization of VRs' settings are also investigated because the operation of a VR directly influences the consumption of voltage-dependent loads (depending on their type of voltage dependency). Due to the discrete nature of the problem, the Genetic Algorithm (GA) has been employed as a tool to attain the previously mentioned goals by optimizing the settings of VRs for forthcoming months. Numerical studies carried out for a 70-bus distribution network show that a reduction of energy loss is achieved by applying the article's proposed method.

Original languageEnglish
Article number107276
Number of pages13
JournalInternational Journal of Electrical Power and Energy Systems
Volume133
DOIs
Publication statusPublished - 18 Jun 2021
Publication typeA1 Journal article-refereed

Keywords

  • Genetic algorithm
  • Mid-term operational planning
  • Power loss reduction
  • Settings optimization
  • Tap operation
  • Voltage regulator
  • ZIP Load model

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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