Environmental/economic dispatch using multi-objective harmony search algorithm

被引:123
作者
Sivasubramani, S. [1 ]
Swarup, K. S. [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Madras 600036, Tamil Nadu, India
关键词
Harmony search algorithm; Multi-objective optimization; Cost minimization; Emission minimization; ECONOMIC-DISPATCH; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; METHODOLOGY;
D O I
10.1016/j.epsr.2011.04.007
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
This paper presents a new multi-objective harmony search (MOHS) algorithm for environmental/economic dispatch (EED) problem. The EED problem is formulated as a non linear and constrained optimization problem with competing and non-commensurable objectives. The two competing objectives, fuel cost and emission, were optimized simultaneously using the proposed MONS algorithm. The MOHS algorithm uses a non dominated sorting and ranking procedure with dynamic crowding distance to develop and maintain a well distributed Pareto-optimal set. The proposed algorithm has been tested on the standard IEEE 30 bus and 118 bus systems. Simulation results are compared with the fast non dominated sorting genetic algorithm (NSGA-II) method. The results clearly show that the proposed method is able to produce a well distributed Pareto-optimal solutions than the NSGA-II method. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:1778 / 1785
页数:8
相关论文
共 23 条
[1]   Multiobjective evolutionary algorithms for electric power dispatch problem [J].
Abido, M. A. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (03) :315-329
[2]   Multiobjective particle swarm optimization for environmental/economic dispatch problem [J].
Abido, M. A. .
ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (07) :1105-1113
[3]   Environmental/economic power dispatch using multiobjective evolutionary algorithms [J].
Abido, MA .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (04) :1529-1537
[4]   Application of Biogeography-based Optimization for Solving Multi-objective Economic Emission Load Dispatch Problems [J].
Bhattacharya, Aniruddha ;
Chattopadhyay, P. K. .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2010, 38 (03) :340-365
[5]   An improved harmony search algorithm for power economic load dispatch [J].
Coelho, Leandro dos Santos ;
Mariani, Viviana Cocco .
ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (10) :2522-2526
[6]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[7]   MULTIOBJECTIVE OPTIMAL THERMAL POWER DISPATCH [J].
DHILLON, JS ;
PARTI, SC ;
KOTHARI, DP .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1994, 16 (06) :383-389
[8]   STOCHASTIC ECONOMIC EMISSION LOAD DISPATCH [J].
DHILLON, JS ;
PARTI, SC ;
KOTHARI, DP .
ELECTRIC POWER SYSTEMS RESEARCH, 1993, 26 (03) :179-186
[9]   ECONOMIC-DISPATCH IN VIEW OF THE CLEAN-AIR ACT OF 1990 [J].
ELKEIB, AA ;
MA, H ;
HART, JL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1994, 9 (02) :972-978
[10]   ECONOMIC LOAD DISPATCH MULTIOBJECTIVE OPTIMIZATION PROCEDURES USING LINEAR-PROGRAMMING TECHNIQUES [J].
FARAG, A ;
ALBAIYAT, S ;
CHENG, TC .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1995, 10 (02) :731-738