Modified Student Psychology Based Optimization Algorithm for Economic Dispatch Problems

被引:4
|
作者
Basu, Subhamay [1 ]
Basu, Mousumi [2 ]
机构
[1] Maulana Abul Kalam Azad Univ Technol, Dept Elect & Commun Engn, Techno Main Salt Lake, Kolkata, India
[2] Jadavpur Univ, Dept Power Engn, Kolkata 700098, India
关键词
PARTICLE SWARM OPTIMIZATION; LOAD DISPATCH; SEARCH ALGORITHM; DIFFERENTIAL EVOLUTION; GENETIC ALGORITHM; STRATEGY; SOLVE; UNITS;
D O I
10.1080/08839514.2021.1985050
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This manuscript develops and suggests modified student psychology-based optimization (MSPBO) algorithm to the convoluted economic dispatch problem. The psychology of the students who provide more attempts to perk up their recital in the exam equal to the echelon for turn out to be the best student in the class forms the basis of student psychology-based optimization (SPBO) algorithm. In this manuscript, MSPBO has been suggested to improve convergence speed and better-quality solutions. The efficacy of MSPBO algorithm has been divulged on five different economic dispatch problems incorporating valve-point consequence, proscribed feasible area, ramp rate borders, and manifold fuels. Simulation outcomes of the recommended method are matched up toward those attained as of other affirmed artificial intelligence methods. It is viewed from the assessment that suggested MSPBO is capable of giving better results.
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页码:1508 / 1528
页数:21
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