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Collaborative optimization allocation of VDAPFs and SVGs for simultaneous mitigation of voltage harmonic and deviation in distribution networks.

Authors :
Tian, Shuya
Jia, Qingquan
Xue, Shiwei
Yu, Hao
Qu, Zhengwei
Gu, Tianyi
Source :
International Journal of Electrical Power & Energy Systems. Sep2020, Vol. 120, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• This paper proposes a collaborative optimization allocation strategy for voltage-detection active power filters (VDAPFs) with multiple functions and static var generators (SVGs). • The proposed strategy is built around the partitioning idea. • It develops two methods to determine dominant nodes as candidates of VDAPFs and SVGs in each region. • The performance of two Allocations of the proposed collaborative allocation strategy is evaluated using an integrated evaluation index. • It is more effective to cooperatively allocate multi-types equipment to mitigate VH and VD than to mitigate VH or VD separately by allocating single-type equipment. This paper proposes a collaborative optimization allocation strategy for voltage-detection active power filters (VDAPFs) with multiple functions and static var generators (SVGs) to improve voltage harmonic (VH) and voltage deviation (VD) of distribution networks (DNs). The integrated voltage sensitivity is defined considering VH and VD simultaneously. According to the local characteristic of power quality (PQ), a partition algorithm based on integrated voltage sensitivity is developed to divide a network into several regions. Two methods based on single and integrated sensitivity are presented to determine dominant nodes as candidates of VDAPFs and SVGs in each region. The corresponding allocations of VDAPFs and SVGs are respectively provided considering the two methods. The sites and sizes of VDAPFs and SVGs are optimized through minimizing the total cost including investment and operation costs by improved particle swarm optimization (PSO) algorithm. An integrated evaluation index based on economy and PQ disturbance mitigation effect is defined to evaluate the performance of the two allocations, thereby determining an optimal allocation. The feasibility and effectiveness of the proposed strategy are verified implemented on IEEE 33-bus system and IEEE 69-bus system by comparing the two allocations with each other and with the conventional allocation strategy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01420615
Volume :
120
Database :
Academic Search Index
Journal :
International Journal of Electrical Power & Energy Systems
Publication Type :
Academic Journal
Accession number :
142719810
Full Text :
https://doi.org/10.1016/j.ijepes.2020.106034