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author:

Liu, Qingzhen (Liu, Qingzhen.) [1] (Scholars:刘庆珍) | Huang, Junying (Huang, Junying.) [2] | Wang, Shaofang (Wang, Shaofang.) [3]

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Abstract:

A new weak link determination indicator of power system is proposed and a multi-objective function reactive power optimization method oriented to system weak link analysis is proposed. The characteristics and advantages of both voltage and power aspects of the weakness indicator are fused. A new weak link compounding margin determination indicator is defined,which comprehensively describes the distance between the load normal operating point and the voltage collapse point. This indicator can be used as the determination criterion to identify the voltage weak link point set of system,which constitutes the set of nodes to be compensated for reactive power optimization. A multi-objective reactive power optimization model is established,and an improved adaptive genetic algorithm is used to replace the traditional roulette wheel method with deterministic selection principle in the algorithm selection process,and then the multi-objective reactive power optimization model is solved. Taking the IEEE 30-bus system and the New England IEEE 39-bus system as simulative testing cases,by comparing several system operation indicators and the calculative results of traditional method,the efficiency and superiority of reactive power optimization strategy according to the new weak link determination indicator is verified,as well as the high efficiency of the improved adaptive genetic algorithm in the multi-objective reactive power optimization calculation is verified. © 2024 Electric Power Automation Equipment Press. All rights reserved.

Keyword:

Efficiency Electric loads Genetic algorithms Multiobjective optimization Reactive power Well testing

Community:

  • [ 1 ] [Liu, Qingzhen]Fujian Key Laboratory of New Energy Generation and Power Conversion, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Huang, Junying]Fujian Key Laboratory of New Energy Generation and Power Conversion, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Wang, Shaofang]China Electric Power Research Institute Co.,Ltd., Beijing; 100192, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2024

Issue: 1

Volume: 44

Page: 147-152 and 159

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: 3

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