Noninferior Solution Grey Wolf Optimizer with an Independent Local Search Mechanism for Solving Economic Load Dispatch Problems

被引:18
作者
Xu, Jianzhong [1 ]
Yan, Fu [1 ]
Yun, Kumchol [1 ,2 ]
Su, Lifei [3 ]
Li, Fengshu [1 ]
Guan, Jun [4 ]
机构
[1] Harbin Engn Univ, Sch Econ & Management, 145 Nantong St, Harbin 150001, Heilongjiang, Peoples R China
[2] Kim Il Sung Univ, Fac Mech, Pyongyang 950003, North Korea
[3] Northeast Agr Univ, Coll Resources & Environm, 600 Changjiang Rd, Harbin 150030, Heilongjiang, Peoples R China
[4] Northeast Forestry Univ, Coll Econ & Management, 26 Hexing Rd, Harbin 150040, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
grey wolf optimizer (GWO); noninferior solution; local search mechanism; economic load dispatch problems (ELD); optimization algorithms; PARTICLE SWARM OPTIMIZATION; IMPROVED GENETIC ALGORITHM; FORMULATION; SQP;
D O I
10.3390/en12122274
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The economic load dispatch (ELD) problem is a complex optimization problem in power systems. The main task for this optimization problem is to minimize the total fuel cost of generators while also meeting the conditional constraints of valve-point loading effects, prohibited operating zones, and nonsmooth cost functions. In this paper, a novel grey wolf optimization (GWO), abbreviated as NGWO, is proposed to solve the ELD problem by introducing an independent local search strategy and a noninferior solution neighborhood independent local search technique to the original GWO algorithm to achieve the best problem solution. A local search strategy is added to the standard GWO algorithm in the NGWO, which is called GWOI, to search the local neighborhood of the global optimal point in depth and to guarantee a better candidate. In addition, a noninferior solution neighborhood independent local search method is introduced into the GWOI algorithm to find a better solution in the noninferior solution neighborhood and ensure the high probability of jumping out of the local optimum. The feasibility of the proposed NGWO method is verified on five different power systems, and it is compared with other selected methods in terms of the solution quality, convergence rate, and robustness. The compared experimental results indicate that the proposed NGWO method can efficiently solve ELD problems with higher-quality solutions.
引用
收藏
页数:26
相关论文
共 55 条
[1]   Economic dispatch using chaotic bat algorithm [J].
Adarsh, B. R. ;
Raghunathan, T. ;
Jayabarathi, T. ;
Yang, Xin-She .
ENERGY, 2016, 96 :666-675
[2]   Economic load dispatch problems with valve-point loading using natural updated harmony search [J].
Al-Betar, Mohammed Azmi ;
Awadallah, Mohammed A. ;
Khader, Ahamad Tajudin ;
Bolaji, Asaju La'aro ;
Almomani, Ammar .
NEURAL COMPUTING & APPLICATIONS, 2018, 29 (10) :767-781
[3]  
[Anonymous], 2017, INT J ARTIFICIAL INT
[4]  
[Anonymous], 2015, P 2015 4 INT C INF E, DOI DOI 10.1109/ICIEV.2015.7334054
[5]   Cuckoo search algorithm for economic dispatch [J].
Basu, M. ;
Chowdhury, A. .
ENERGY, 2013, 60 :99-108
[6]   A hybrid CPSO-SQP method for economic dispatch considering the valve-point effects [J].
Cai, Jiejin ;
Li, Qiong ;
Li, Lixiang ;
Peng, Haipeng ;
Yang, Yixian .
ENERGY CONVERSION AND MANAGEMENT, 2012, 53 (01) :175-181
[7]   BRANCH-AND-BOUND SCHEDULING FOR THERMAL GENERATING-UNITS [J].
CHEN, CL ;
WANG, SC .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1993, 8 (02) :184-189
[8]   Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels [J].
Chiang, CL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1690-1699
[9]   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
[10]   Dynamics of diesel and wind turbine generators on an isolated power system [J].
Das, D ;
Aditya, SK ;
Kothari, DP .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1999, 21 (03) :183-189