A non-dominated Sorting Hybrid Cuckoo Search Algorithm for multi-objective optimization in the presence of FACTS devices

被引：9

作者：

Balasubbareddya M. ^{[1
]}

Sivanagarajub S. ^{[2
]}

Venkata Sureshc C. ^{[3
]}

Naresh Babud A.V. ^{[4
]}

Srilathaa D. ^{[1
]}

机构：

[1] Department of Electrical and Electronics Engineering, Prakasam Engineering College, Kandukur, Andhra Pradesh

[2] Department of Electrical and Electronics Engineering, J.N.T.U. College of Engineering, Kakinada, Andhra Pradesh

[3] Research Scholar, University College of Engineering, JNTUK, Kakinada, Andhra Pradesh

[4] Department of Electrical and Electronics Engineering, DVR and Dr. HSMIC College of Technology, Kanchikacherla, Andhra Pradesh

来源：

Russian Electrical Engineering | 2017年 / 88卷 / 01期

关键词：

device installation cost; multi objective optimal power flow; non-dominated sorting; optimal location; power injection model;

D O I：

10.3103/S1068371217010059

中图分类号：

学科分类号：

摘要：

In this paper, a proposed Non-dominated Sorting Hybrid Cuckoo Search Algorithm (NSHCSA) for multi objective optimal power flow problem with FACTS devices namely Thyristor Controlled Series Compensator (TCSC) and Static Synchronous Series Compensator (SSSC) with different objective functions including the installation cost of FACTS devices are presented. The practical and operating constraints are considered for this analysis. The location of the FACTS device is selected to enhance the system security with respect to minimizing line overloads and bus voltage violations. The proposed Hybrid Cuckoo Search Algorithm (HCSA) is the combination of Cuckoo Search Algorithm (CSA) and Genetic Algorithm (GA). For multi objectives selected Pareto front is obtained by using the fuzzy decision making tool. The effectiveness of the proposed method is tested on standard IEEE-30 bus test system in the presence of the TCSC and SSSC. The results are analyzed and compared with existing methods. © 2017, Allerton Press, Inc.

引用

页码：44 / 53

页数：9

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