Multi-objective Evolutionary Algorithm for Security Enhancement

被引：0

作者：

Banu, R. Narmatha ^{[1
]}

Devaraj, D. ^{[1
]}

机构：

[1] Kalasalingam Univ, EEE Dept, Anand Nagar, Krishnankoil 626190, Gujarat, India

来源：

JOURNAL OF ELECTRICAL SYSTEMS | 2009年 / 5卷 / 04期

关键词：

Power system security; Flexible AC transmission system (FACTS) devices; Thyristor Controlled Series Capacitors (TCSCs); Genetic Algorithm; Non -dominated sorting genetic algorithm; Pareto optimal frontier;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper reports an application of Multi-objective Evolutionary algorithm for solving the security enhancement problem. Generation rescheduling and adjustment of TCSC are used to alleviate the line overload. The probable locations of TCSC are pre-selected based on Line overload Sensitivity (LOS) index which ranks the system branches according to their severity. The security enhancement problem is formulated as a multi-objective optimization problem with minimization of investment cost of Thyristor Controlled Series Capacitor (TCSC) and minimization of control variable adjustment cost as objectives. Non-dominated sorting algorithm is applied to solve this multi-objective optimization problem. The proposed approach has been evaluated on the IEEE 30-bus test system. Simulation results show the effectiveness of the proposed approach for solving the multi-objective optimal power flow problem

引用

页数：16

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