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Hybrid intelligence approach for multi-load level reactive power planning using VAR compensator in power transmission network

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Protection and Control of Modern power Systems 2021年第1期6卷 330-346页

作者： Nihar Karmakar Biplab Bhattacharyya Department of Electrical Engineering Indian Institute of Technology(ISM)Dhanbad826004India

This paper formulates and solves a techno-economic planning problem of reactive power (VAR) in power transmission systems under loadings. The objective of the proposed research work is to minimize the combination of installation cost of reactive power sources, power losses and operational cost while satisfying technical constraints. Initially, the positions for the placement of reactive power sources are determined technically. Different cost components such as VAR generation cost, line charging cost etc. are then added in the total operating cost in a most economical way. Finally, the optimal parameter setting subjected to reactive power planning (RPP) is obtained by taking advantages of hybrid soft computing techniques. For the justification of the efficiency and efficacy of the proposed approach the entire work is simulated on two inter-regional transmission networks. To validate the robustness and ease of the soft computing techniques in RPP the responses of benchmark functions and statistical proof are provided simultaneously.

关键词： Active power loss reactive power planning Hybrid algorithm Line charging Operating cost

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An Adaptive Many-objective Robust Optimization Model of Dynamic reactive power Sources for Voltage Stability Enhancement

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Journal of Modern power Systems and Clean Energy 2023年第6期11卷 1756-1769页

作者： Yuan Chi Anqi Tao Xiaolong Xu Qianggang Wang Niancheng Zhou IEEE State Key Laboratory of power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqing 400044China

The deployment of dynamic reactive power sourcecan effectively improve the voltage performance after a disturbance for a power system with increasing wind power penetration level and ubiquitous induction loads.To improve the voltage stability of the power system,this paper proposes an adaptive many-objective robust optimization model to deal with thedeployment issue of dynamic reactive power sources.Firstly,two metrics are adopted to assess the voltage stability of the system at two different stages,and one metric is proposed to assess the tie-line reactive power flow.Then,a robustness index isdeveloped to assess the sensitivity of a solution when subjectedto operational uncertainties,using the estimation of acceptablesensitivity region(ASR)and D-vine Copula.Five objectives areoptimized simultaneously:①total equipment investment;②adaptive short-term voltage stability evaluation;③tie-line power flow evaluation;④prioritized steady-state voltage stabilityevaluation;and⑤robustness evaluation.Finally,an anglebased adaptive many-objective evolutionary algorithm(MaOEA)is developed with two improvements designed for the application in a practical engineering problem:①adaptive mutationrate;and②elimination procedure without a requirement for athreshold value.The proposed model is verified on a modifiedNordic 74-bus system and a real-world power system.Numerical results demonstrate the effectiveness and efficiency of theproposed model.

关键词： Voltage stability reactive power planning robust many-objective optimization tie-line correlated uncertainty

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