Optimal power flow of a wind-thermal generation system

被引:44
作者
Chang, Yu-Cheng [1 ]
Lee, Tsung-Ying [1 ]
Chen, Chun-Lung [2 ]
Jan, Rong-Mow [1 ]
机构
[1] Ming Hsing Univ Sci & Technol, Dept Elect Engn, Xinfeng Township, Taiwan
[2] Natl Taiwan Ocean Univ, Dept Marine Engn, Chilung, Taiwan
关键词
Wind generation system; Optimal power flow; Spinning reserve; Particle swarm optimization; PARTICLE SWARM OPTIMIZATION; ALGORITHM; EVOLUTIONARY; EMISSION; DISPATCH;
D O I
10.1016/j.ijepes.2013.09.028
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
Many expect wind energy to continue increasing due to falling capital costs, market scalability, and its low environmental impact. As more wind turbine generators are connected to utility systems, it is becoming more important to study the impact of wind turbine generators (WTGs) on power system operations. Wind generation system will affect not only the economic operation of a power system but also the bus voltage and transmission losses due to different locations of wind generation system. Optimal power flow (OPF) program is a useful tool for power system operation and planning. This study proposes an Evolutionary Particle Swarm Optimization (EPSO) approach for the optimal power flow problem. The proposed model considers up-spinning reserves, down-spinning reserves and the operational constraints of the generation unit. The effects of wind generation on power system operation and planning are investigated. This study uses the load and unit data of a modified IEEE 30 bus power system to test the corrective of the new method. The OPF results in this study satisfy the operational requirements of a wind-thermal power system. This study also applies the developed OPF program to estimate the effects of wind generation on power system operation and the planning. Experiment results show that the developed OPF program is a useful tool for wind-thermal power system operation and the planning. The results of this study can serve as a reference for wind-thermal power system operation and the planning. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:312 / 320
页数:9
相关论文
共 24 条
[11]   Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index [J].
Niknam, T. ;
Narimani, M. R. ;
Aghaei, J. ;
Azizipanah-Abarghooee, R. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (06) :515-527
[12]   Enhanced adaptive particle swarm optimisation algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates [J].
Niknam, T. ;
Golestaneh, F. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (05) :424-435
[13]   Modified Honey Bee Mating Optimisation to solve dynamic optimal power flow considering generator constraints [J].
Niknam, T. ;
Narimani, M. R. ;
Aghaei, J. ;
Tabatabaei, S. ;
Nayeripour, M. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2011, 5 (10) :989-1002
[14]   Dynamic optimal power flow using hybrid particle swarm optimization and simulated annealing [J].
Niknam, Taher ;
Narimani, Mohammad Rasoul ;
Jabbari, Masoud .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2013, 23 (07) :975-1001
[15]  
Niknam T, 2012, ENER EDUC SCI TECH-A, V30, P553
[16]  
Niknam T, 2012, ENER EDUC SCI TECH-A, V29, P901
[17]   A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect [J].
Niknam, Taher ;
Narimani, Mohammad Rasoul ;
Azizipanah-Abarghooee, Rasoul .
ENERGY CONVERSION AND MANAGEMENT, 2012, 58 :197-206
[18]   A modified shuffle frog leaping algorithm for multi-objective optimal power flow [J].
Niknam, Taher ;
Narimani, Mohammad Rasoul ;
Jabbari, Masoud ;
Malekpour, Ahmad Reza .
ENERGY, 2011, 36 (11) :6420-6432
[19]   Non-smooth economic dispatch computation by fuzzy and self adaptive particle swarm optimization [J].
Niknam, Taher ;
Mojarrad, Hasan Doagou ;
Meymand, Hamed Zeinoddini .
APPLIED SOFT COMPUTING, 2011, 11 (02) :2805-2817
[20]   Multi-objective harmony search algorithm for optimal power flow problem [J].
Sivasubramani, S. ;
Swarup, K. S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (03) :745-752