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Author:

Zhu, Xiaoguang (Zhu, Xiaoguang.) | Guo, Yubo (Guo, Yubo.) | Li, Shurong (Li, Shurong.) | Deng, Junbo (Deng, Junbo.) | Ji, Tenghao (Ji, Tenghao.)

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Abstract:

The unified power quality conditioner (UPQC) has prospects in power quality management considering green energy integration. This paper proposes an optimization method for the location and capacity planning of UPQCs in the distribution grid with distributed generators. The planning and dispatching of UPQCs are combined into a coupled optimization model in this paper. The dual-controlled-source model is proposed and well used to describe the operation state of UPQC. Fluctuations in the output of wind generators and photovoltaic power plants are also taken into account. The improved golden eagle optimization (IMOGEO) algorithm, based on the two-archive strategy, can better balance the convergence and diversity of the non-dominated solution set. A case study is carried out based on the modified IEEE 33-node distribution grid model including DGs and loads with a diurnal variation. The optimized schemes of location and capacity are obtained, and the corresponding dispatching strategies display the superiority in both voltage variation and line loss. The results verify the effectiveness and advantages of the proposed method. (C) 2022 The Author(s). Published by Elsevier Ltd.

Keyword:

Distributed generator Location and capacity planning Optimal dispatching Power quality management UPQC

Author Community:

  • [ 1 ] [Zhu, Xiaoguang]Xi An Jiao Tong Univ, Xian 710049, Peoples R China
  • [ 2 ] [Guo, Yubo]Xi An Jiao Tong Univ, Xian 710049, Peoples R China
  • [ 3 ] [Li, Shurong]Xi An Jiao Tong Univ, Xian 710049, Peoples R China
  • [ 4 ] [Deng, Junbo]Xi An Jiao Tong Univ, Xian 710049, Peoples R China
  • [ 5 ] [Ji, Tenghao]Hong Kong Polytech Univ, Hong Kong, Peoples R China

Reprint Author's Address:

  • [Deng, J.]Xi'an Jiaotong UniversityChina;;

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Source :

ENERGY REPORTS

ISSN: 2352-4847

Year: 2022

Volume: 8

Page: 832-842

6 . 8 7 0

JCR@2020

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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