Dynamic Economic Dispatch Solution Using Fast Evolutionary Programming with Swarm Direction

被引：0

作者：

Gaing, Zwe-Lee ^{[1
]}

Ou, Ting-Chia ^{[2
]}

机构：

[1] Kao Yuan Univ, Dept Elect Engn, Kaohsiung 821, Taiwan

[2] Inst Nucl Energy Res, Atom Energy Council, Taoyuan, Taiwan

来源：

ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6 | 2009年

关键词：

dynamic economic dispatch; fast evolutionary programming; particle swarm optimization; prohibited operating zone;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presented a fast evolutionary programming (FEP) with swarm direction for solving the dynamic economic dispatch (DED) problem in power systems. The proposed method employed the swarm directions to embed in fast evolutionary programming (SFEP) to enhance the performance of FEP algorithm. Many practical operating constraints of the generator, such as ramp rate limits and prohibited operating zone, are considered in solving the constrained DED problem. The feasibility of the proposed SFEP method is demonstrated for a 15-unit system, and it is compared with the other FEP-based methods in terms of solution quality and computation efficiency. The experimental results show that the proposed SFEP method was indeed capable of obtaining higher quality solutions efficiently in solving the non-convex DED problems.

引用

页码：1529 / +

页数：3

共 50 条

[11] Optimization using civilized swarm: Solution to economic dispatch with multiple minima
Selvakumar, A. Immanuel
Thanushkodi, K.
ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (01) : 8 - 16
[12] Economic Power Dispatch with Environmental Constraints Using a Novel Hybrid Evolutionary Programming
Chen, Gonggui
Li, Yinhong
Duan, Xianzhong
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS, 2009, 5552 : 537 - 546
[13] Dynamic Economic Dispatch Solution with Practical Constraints Using a Recurrent neural network
Benhamida, Farid
Bendaoud, Abdelber
Medles, Karim
Tilmatine, Amar
PRZEGLAD ELEKTROTECHNICZNY, 2011, 87 (08): : 149 - 153
[14] Dynamic Economic Dispatch Solution Using Composite Cost Function
Subramanian, S.
Anandhakumar, R.
INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2010, 5 (04): : 1664 - 1669
[15] Particle Swarm Optimization Scheme for the Solution of Economic Dispatch
Thenmalar, K.
Allirani, A.
7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO 2013), 2013, : 143 - 147
[16] Improved Evolutionary Programming & Its Application in Economic Dispatch Problem
Chen, Gonggui
2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
[17] Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition
Zhu, Yongsheng
Qiao, Baihao
Dong, Yan
Qu, Boyang
Wu, Dongya
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 14 (09) : 1323 - 1333
[18] Dynamic economic dispatch of a microgrid: Mathematical models and solution algorithm
Wu, Hongbin
Liu, Xingyue
Ding, Ming
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 63 : 336 - 346
[19] Dynamic Economic Dispatch Based on Improved Particle Swarm Optimization and Penalty Function
Li, Yonggang
Han, Liang
Fu, Chao
2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
[20] Improved Particle Swarm Optimization Based Dynamic Economic Dispatch of Power System
Sun, Yanxia
Wang, Zenghui
INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS PROCESSING AND MANUFACTURING (SMPM 2017), 2016, 7 : 297 - 302

← 1 2 3 4 5 →