Optimal Power Flow Solution Using Evolutionary Computation Techniques

被引：0

作者：

Suharto, M. N. ^{[1
]}

Hassan, M. Y. ^{[1
]}

Majid, M. S. ^{[1
]}

Abdullah, M. P. ^{[1
]}

Hussin, F. ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, Ctr Elect Energy Syst, Johor Baharu 81310, Malaysia

来源：

2011 IEEE REGION 10 CONFERENCE TENCON 2011 | 2011年

关键词：

Optimal Power Flow; Evolutionary Computation; Genetic Algorithm; Particle Swarm Optimization; Differential Evolution; DISPATCH; NEWTON;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents evolutionary computation (EC) techniques and discusses their applicability to the optimal power flow (OPF) problem. The power flow problem is optimized to find the minimum fuel cost of all generating units while maintaining an acceptable system performance in terms of limits on the power outputs of generators, bus voltage and line flow. Different EC techniques such as genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE) are applied to solve the OPF problem for IEEE 30-bus system. The results are compared with the OPF solution obtained from MATPOWER that employs sequential quadratic programming to prove the effectiveness of the EC techniques. The computational results show that EC techniques work effectively and applicable to the OPF problem.

引用

页码：113 / 117

页数：5

共 50 条

[1] Optimal Power Flow using evolutionary programming techniques
El Metwally, M. M.
El Emary, A. A.
El Bendary, F. M.
Mosaad, M. I.
2008 12TH INTERNATIONAL MIDDLE EAST POWER SYSTEM CONFERENCE, VOLS 1 AND 2, 2008, : 536 - +
[2] Optimal power flow solution using fuzzy evolutionary and swarm optimization
Kumar, Sanjeev
Chaturvedi, D. K.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 47 : 416 - 423
[3] A Study of Evolutionary based Optimal Power Flow Techniques
Deng, Zhida
Rotaru, Mihai D.
Sykulski, Jan K.
2016 51ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2016,
[4] Kriging Assisted Surrogate Evolutionary Computation to Solve Optimal Power Flow Problems
Deng, Zhida
Rotaru, Mihai D.
Sykulski, Jan K.
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (02) : 831 - 839
[5] Optimal power flow method using evolutionary programming
Wong, KP
Yuryevich, J
SIMULATED EVOLUTION AND LEARNING, 1999, 1585 : 405 - 412
[6] Optimal reactive power dispatch using evolutionary computation: Extended algorithms
Gomes, JR
Saavedra, OR
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1999, 146 (06) : 586 - 592
[7] Comparison and improvement of evolutionary programming techniques for power system optimal reactive power flow
Liang, CH
Chung, CY
Wong, KP
Duan, XZ
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2006, 153 (02) : 228 - 236
[8] Improved evolutionary programming with various crossover techniques for optimal power flow problem
Department of Electrical Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
IEEJ Trans. Power Energy, 2009, 1 (67-74+7):
[9] The optimal planning of an active power line conditioner in a network using evolutionary computation
Tong, M
Jiang, JP
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 1803 - 1807
[10] Multiobjective optimal power flow using hybrid evolutionary Algorithm
Alawode Kehinde, O.
Jubril Abimbola, M.
Komolafe Olusola, A.
World Academy of Science, Engineering and Technology, 2009, 39 : 790 - 795

← 1 2 3 4 5 →