Teaching learning based optimization for economic load dispatch problem considering valve point loading effect

被引:96
作者
Banerjee, Sumit [1 ]
Maity, Deblina [2 ]
Chanda, Chandan Kumar [3 ]
机构
[1] Dr BC Roy Engn Coll, Dept Elect Engn, Durgapur 713206, India
[2] Netaji Subhash Engn Coll, Dept Elect Engn, Kolkata 700152, India
[3] Indian Inst Engn Sci & Technol, Dept Elect Engn, Sibpur 711103, Howrah, India
关键词
Economic load dispatch; Genetic algorithm; Particle swarm optimization; Teaching learning based optimization; Valve point loading effect; PARTICLE SWARM OPTIMIZATION; BEE COLONY OPTIMIZATION; ALGORITHM;
D O I
10.1016/j.ijepes.2015.05.036
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 novel teaching learning based optimization (TLBO) technique to solve economic load dispatch (ELD) of the thermal unit without considering transmission losses. The proposed methodology can take care of ELD considering nonlinearity such as valve point loading. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints. TLBO is a recently developed evolutionary algorithm based on two basic concepts of education namely teaching phase and learning phase. At first, learners improve their knowledge through the teaching methodology of teacher and finally learners increase their knowledge by interactions among themselves. The effectiveness of the proposed algorithm has been verified on three different test systems with equality and inequality constraints. Compared with the other existing techniques demonstrates the superiority of the proposed algorithm. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:456 / 464
页数:9
相关论文
共 37 条
[1]   A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems [J].
Alsumait, J. S. ;
Sykulski, J. K. ;
Al-Othman, A. K. .
APPLIED ENERGY, 2010, 87 (05) :1773-1781
[2]   Solution of non-convex economic dispatch problem considering valve loading effect by a new Modified Differential Evolution algorithm [J].
Amjady, Nima ;
Sharifzadeh, Hossein .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2010, 32 (08) :893-903
[3]   Chaotic self-adaptive differential harmony search algorithm based dynamic economic dispatch [J].
Arul, R. ;
Ravi, G. ;
Velusami, S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 50 :85-96
[4]   Robust, fast and optimal solution of practical economic dispatch by a new enhanced gradient-based simplified swarm optimisation algorithm [J].
Azizipanah-Abarghooee, Rasoul ;
Niknam, Taher ;
Gharibzadeh, Masihallah ;
Golestaneh, Faranak .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2013, 7 (06) :620-635
[5]   Artificial bee colony optimization for multi-area economic dispatch [J].
Basu, M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 49 :181-187
[6]   Hybridization of bee colony optimization and sequential quadratic programming for dynamic economic dispatch [J].
Basu, M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 44 (01) :591-596
[7]   Artificial immune system for dynamic economic dispatch [J].
Basu, M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (01) :131-136
[8]  
Bhattacharya A., 2010, IEEE T POWER SYST, V25
[9]   Solving economic load dispatch problem with valve-point effects using a hybrid quantum mechanics inspired particle swarm optimisation [J].
Chakraborty, S. ;
Senjyu, T. ;
Yona, A. ;
Saber, A. Y. ;
Funabashi, T. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2011, 5 (10) :1042-1052
[10]   Equal embedded algorithm for economic load dispatch problem with transmission losses [J].
Chandram, K. ;
Subrahmanyam, N. ;
Sydulu, M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (03) :500-507