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Multiobjective Environment/Economic Power Dispatch Using Evolutionary Multiobjective Optimization
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DOI：10.1109/ACCESS.2018.2795702.png)
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摘要
En 中文
Environmental/economic dispatch (EED) problems play a salient role in the power system, which can be defined as a complex constrained optimization problem. Many different methods have been introduced to handle EED problems and got some inspiring positive results in the research. In this paper, a new multiobjective global best artificial bee colony (ABC) algorithm is proposed to tackle multiobjective EED problems. To manipulate this problem effectively, we propose a global best ABC algorithm to generate the new individual to speed up the convergence of the proposed algorithm. Afterwards, a crowding distance assignment approach is employed to evolve the population. Finally, a straightforward constraint checking procedure is used to tackle those different constraints of EED problems. Experimental results can conclude that MOGABC can provide best solutions in solving multiobjective EED problems.
Keyword:
Environmental/economic dispatch
multiobjective algorithm
artificial bee colony
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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引用论文
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