A Hybrid Artificial Bee Colony Approach for Security Constrained Unit Commitment

被引:0
作者
Columbus, C. Christopher [1 ]
Simon, Sishaj P. [1 ]
机构
[1] PSN Coll Engn & Technol, Dept Elect & Elect, Tirunelveli, Tamil Nadu, India
来源
INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE | 2012年 / 7卷 / 04期
关键词
Security Constraints; Security Constrained Unit Commitment; Artificial Bee Colony; Security Constrained Economic Dispatch; Transmission Constraints; PARTICLE SWARM OPTIMIZATION; ABC ALGORITHM; DISPATCH;
D O I
暂无
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
In the deregulated electricity market secure operation is an enduring concern of the independent system operator (ISO). For a secure and economical hourly generation schedule of the day ahead market, ISO executes the security constrained unit commitment (SCUC) problem. The objective of the paper is to develop scheduling algorithm using hybrid artificial bee colony algorithm for electric generation that account directly for system security requirements. Utilities can obtain significantly better results if they use optimal scheduling algorithms, which comply directly with security requirements. The proposed SCUC formulation includes constraints such as hourly power demand, system reserves, ramp up/down limits and minimum ON/OFF duration limits. The innovation of our approach is to capture the system security requirements within a network flow sub-problem that is solved in conjunction with the unit commitment problem. To solve such SCUC model a binary coded artificial bee colony (BABC) is used for unit commitment master problem and real coded artificial bee colony algorithm (RABC) is used for the security constrained economic dispatch sub-problem. The effectiveness of the proposed method to solve the SCUC problem is shown on different test systems. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.
引用
收藏
页码:5155 / 5166
页数:12
相关论文
共 34 条
  • [11] Security-constrained unit commitment with AC constraints
    Fu, Y
    Shahidehpour, M
    Li, ZY
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (03) : 1538 - 1550
  • [12] Unified solution of security-constrained unit commitment problem using a linear programming methodology
    Grey, A.
    Sekar, A.
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (06) : 856 - 867
  • [13] An evolutionary programming solution to the unit commitment problem
    Juste, KA
    Kita, H
    Tanaka, E
    Hasegawa, J
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (04) : 1452 - 1459
  • [14] Karaboga D, 2008, APPL SOFT COMPUT, V8, P687, DOI 10.1016/j.asoc.2007.05.007
  • [15] Artificial Bee Colony (ABC) optimization algorithm for solving constrained optimization problems
    Karaboga, Dervis
    Basturk, Bahriye
    [J]. FOUNDATIONS OF FUZZY LOGIC AND SOFT COMPUTING, PROCEEDINGS, 2007, 4529 : 789 - 798
  • [16] A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
    Karaboga, Dervis
    Basturk, Bahriye
    [J]. JOURNAL OF GLOBAL OPTIMIZATION, 2007, 39 (03) : 459 - 471
  • [17] A genetic algorithm solution to the unit commitment problem
    Kazarlis, SA
    Bakirtzis, AG
    Petridis, V
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (01) : 83 - 90
  • [18] Unit commitment with transmission security and voltage constraints
    Ma, HL
    Shahidehpour, SM
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (02) : 757 - 764
  • [19] Unit commitment by tabu search
    Mantawy, AH
    Abdel-Magid, YL
    Selim, SZ
    [J]. IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1998, 145 (01) : 56 - 64
  • [20] A Simulated Annealing Algorithm for unit commitment
    Mantawy, AH
    Abdel-Magid, YL
    Selim, SZ
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1998, 13 (01) : 197 - 204