Evolutionary Multi-Objective Optimization in Power Systems: State-of-the-Art

F. Rivas-Dávalos, E. Moreno-Goytia, G. Gutierrez-Alacaraz, J. Tovar-Hernández
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引用次数: 19

Abstract

Electric utility industry is currently facing a market deregulated environment and many technological advances. In this context, the demand for electric power having higher network security, better power quality, improved system reliability, and availability is increasing every day. This complex scenario put the electric utilities under conflicting pressure between meeting the growth demands, reducing its operation cost, keeping maintenance and construction and try to provide lower rates for customers or to improve the company profits. Therefore, solutions for planning, design and operation of power systems involve the simultaneous optimization of multiple objectives, often conflicting between them. This work presents the state of the art of multi-objective evolutionary algorithms applications to electrical power systems, in order to provide the power system engineering community with the expertise about the development of multi-objective optimization paradigms and trends in the applications of multi-objective evolutionary algorithms, altogether useful for tackling down every-day electrical networks challenges.
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电力系统演化多目标优化研究进展
电力公用事业行业目前面临着市场放松管制和许多技术进步的环境。在这种背景下,人们对电网安全性、电能质量、系统可靠性和可用性的要求日益提高。这种复杂的情况使电力公司面临着满足增长需求,降低运营成本,保持维护和建设以及试图为客户提供更低的费率或提高公司利润之间的冲突压力。因此,电力系统的规划、设计和运行解决方案涉及多个目标的同时优化,它们之间往往相互冲突。这项工作介绍了多目标进化算法在电力系统中的应用现状,以便为电力系统工程界提供有关多目标优化范例和多目标进化算法应用趋势发展的专业知识,这些知识对解决日常电网挑战非常有用。
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