SVC placement for voltage constrained loss minimization using self-adaptive Firefly algorithm

被引：13

作者：

Selvarasu, R. ^{[1
]}

Kalavathi, M. Surya ^{[1
]}

Rajan, C. Christober Asir ^{[2
]}

机构：

[1] JNTUH, Dept EEE, Hyderabad, Andhra Pradesh, India

[2] Pondicherry Engn Coll, Dept EEE, Pondicherry, India

来源：

ARCHIVES OF ELECTRICAL ENGINEERING | 2013年 / 62卷 / 04期

关键词：

Firefly algorithm; loss minimization; SVC; voltage profile;

D O I：

10.2478/aee-2013-0051

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：

Static Var Compensator (SVC) is a popular FACTS device for providing reactive power support in power systems and its placement representing the location and size has significant influence on network loss, while keeping the voltage magnitudes within the acceptable range. This paper presents a Firefly algorithm based optimization strategy for placement of SVC in power systems with a view of minimizing the transmission loss besides keeping the voltage magnitude within the acceptable range. The method uses a self-adaptive scheme for tuning the parameters in the Firefly algorithm. The strategy is tested on three IEEE test systems and their results are presented to demonstrate its effectiveness.

引用

页码：649 / 661

页数：13

共 50 条

[31] Self-Adaptive Discrete Firefly Algorithm for Minimal Perturbation in Dynamic Constraint Satisfaction Problems
Bidar, Mahdi
Mouhoub, Malek
2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2019, : 2620 - 2627
[32] Solving Constrained Optimization Problems with a Self-Adaptive Differential Evolution Algorithm
Worasucheep, Chukiat
ECTI-CON: 2009 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2009, : 646 - 649
[33] A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection
Pan, Chu-Dong
Yu, Ling
Chen, Ze-Peng
Luo, Wen-Feng
Liu, Huan-Lin
SMART STRUCTURES AND SYSTEMS, 2016, 17 (06) : 957 - 980
[34] Parameter evaluation of a nonlinear Muskingum model using a constrained self-adaptive differential evolution algorithm
Kadhar, Kattuva Mohaideen Abdul
Narayanan, Natarajan
Vasudevan, Mangottiri
Gurusamy, Saravanakumar
WATER PRACTICE AND TECHNOLOGY, 2022, 17 (11) : 2396 - 2407
[35] Power Loss Minimization using Optimal Power Flow based on Firefly Algorithm
Jun, Chia Shu
Abd Halim, Syahirah
Rosli, Hazwani Mohd
Kamari, Nor Azwan Mohamed
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (09) : 358 - 364
[36] Optimal Placement of SVC for Minimizing Power Loss and Improving Voltage Profile using GA
Dixit, Shishir
Srivastava, Laxmi
Agnihotri, Ganga
PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON ISSUES AND CHALLENGES IN INTELLIGENT COMPUTING TECHNIQUES (ICICT), 2014, : 123 - 129
[37] A Self-adaptive Coevolutionary Algorithm
Fajardo, Mario Hevia
Toutouh, Jamal
Hemberg, Erik
Lehre, Per Kristian
PROCEEDINGS OF THE 2024 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2024, 2024, : 841 - 849
[38] Self-Adaptive Firefly Algorithm with Pole Zero Cancellation Method for Controlling SMIB Power System
Gharghory, Sawsan Morkos
Ebrahim, Azza Elsayed
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2019, 18 (02)
[39] Self-adaptive differential evolution algorithm in constrained real-parameter optimization
Brest, Janez
Zumer, Viljem
Maucec, Mirjam Sepesy
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, : 215 - +
[40] A self-adaptive on-line task placement algorithm for partially reconfigurable systems
Lu, Yi
Marconi, Thomas
Gaydadjiev, Georgi
Bertels, Koen
Meeuws, Roel
2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8, 2008, : 3249 - 3256

← 1 2 3 4 5 →