A modified harmony search method for environmental/economic load dispatch of real-world power systems

被引:117
作者
Jeddi, Babak [1 ]
Vahidinasab, Vahid [1 ]
机构
[1] Shahid Beheshti Univ, Abbaspour Coll Technol, Dept Elect & Comp Engn, Tehran 167651719, Iran
关键词
Environmental/economic load dispatch; Harmony search method; Power systems optimization; PARTICLE SWARM OPTIMIZATION; PROHIBITED OPERATING ZONES; EVOLUTIONARY PROGRAMMING TECHNIQUES; CONSTRAINED ECONOMIC-DISPATCH; GENERATOR CONSTRAINTS; EMISSION DISPATCH; GENETIC ALGORITHM; UNIT COMMITMENT;
D O I
10.1016/j.enconman.2013.11.027
中图分类号
O414.1 [热力学];
学科分类号
摘要
Economic load dispatch (ELD) problem is one of the basic and important optimization problems in a power system. However, considering practical constraints of real-world power systems such as ramp rate limits, prohibited operating zones, valve loading effects, multi-fuel options, spinning reserve and transmission system losses in ELD problem makes it a non-convex optimization problem, which is a challenging one and cannot be solved by traditional methods. Moreover, considering environmental issues, results in combined economic and emission load dispatch (CEELD) problem that is a multiobjective optimization model with two non-commensurable and contradictory objectives. In this paper, a modified harmony search algorithm (MHSA) proposed and applied to solve ELD and CEELD problem considering the abovementioned constraints. In the proposed MHSA, a new improvising method based on wavelet mutation together with a new memory consideration scheme based on the roulette wheel mechanism are proposed which improves the accuracy, convergence speed, and robustness of the classical HSA. Performance of the proposed algorithm is investigated by applying it to solve various test systems having non-convex solution spaces. To Show the effectiveness of the proposed method, obtained results compared with classical harmony search algorithm (HSA) and some of the most recently published papers in the area. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:661 / 675
页数:15
相关论文
共 63 条
[1]   A hybrid HNN-QP approach for dynamic economic dispatch problem [J].
Abdelaziz, A. Y. ;
Kamh, M. Z. ;
Mekhamer, S. F. ;
Badr, M. A. L. .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (10) :1784-1788
[2]   Multiobjective evolutionary algorithms for electric power dispatch problem [J].
Abido, M. A. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (03) :315-329
[3]   A novel multiobjective evolutionary algorithm or environmental/economic power dispatch [J].
Abido, MA .
ELECTRIC POWER SYSTEMS RESEARCH, 2003, 65 (01) :71-81
[4]   A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch [J].
Abido, MA .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2003, 25 (02) :97-105
[5]   Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch [J].
Agrawal, Shubham ;
Panigrahi, B. K. ;
Tiwari, Manoj Kumar .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2008, 12 (05) :529-541
[6]   Nonconvex Economic Dispatch With AC Constraints by a New Real Coded Genetic Algorithm [J].
Amjady, Nima ;
Nasiri-Rad, Hadi .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (03) :1489-1502
[7]  
[Anonymous], 1995, HDB EVOLUTIONARY COM
[8]   Hybrid integer coded differential evolution-dynamic programming approach for economic load dispatch with multiple fuel options [J].
Balamurugan, R. ;
Subramanian, S. .
ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (04) :608-614
[9]   Cuckoo search algorithm for economic dispatch [J].
Basu, M. ;
Chowdhury, A. .
ENERGY, 2013, 60 :99-108
[10]   Economic environmental dispatch using multi-objective differential evolution [J].
Basu, M. .
APPLIED SOFT COMPUTING, 2011, 11 (02) :2845-2853