CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

被引：43
作者：
Ghasemi, Mojtaba [1 ]
Ghavidel, Sahand [2 ]
Aghaei, Jamshid [1 ]
Akbari, Ebrahim [3 ]
Li, Li [2 ]
机构：
[1] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz, Iran
[2] Univ Technol Sydney, Fac Engn & Informat Technol, POB 123, Ultimo, NSW 2007, Australia
[3] Islamic Azad Univ, Ayatollah Amoli Branch, Young Researchers & Elite Club, Amol, Iran
来源：
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2018年 / 28卷 / 05期
关键词：
benchmark test functions; CFA optimizer; economic load dispatch (ELD); Franklin's and Coulomb's laws; optimization; PARTICLE SWARM OPTIMIZATION; LEARNING-BASED OPTIMIZATION; BEE COLONY ALGORITHM; IMPERIALIST COMPETITIVE ALGORITHM; BIOGEOGRAPHY-BASED OPTIMIZATION; SYMBIOTIC ORGANISMS SEARCH; DIFFERENTIAL EVOLUTION; FIREFLY ALGORITHM; GENETIC ALGORITHM; NONSMOOTH;
D O I：
10.1002/etep.2536
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 efficient algorithm inspired by Franklin's and Coulomb's laws theory that is referred to as CFA algorithm, for finding the global solutions of optimal economic load dispatch problems in power systems. CFA is based on the impact of electrically charged particles on each other due to electrical attraction and repulsion forces. The effectiveness of the CFA in different terms is tested on basic benchmark problems. Then, the quality of the CFA to achieve accurate results in different aspects is examined and proven on economic load dispatch problems including 4 different size cases, 6, 10, 15, and 110-unit test systems. Finally, the results are compared with other inspired algorithms as well as results reported in the literature. The simulation results provide evidence for the well-organized and efficient performance of the CFA algorithm in solving great diversity of nonlinear optimization problems.
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页数：30
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