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Multi-Area Dynamic Economic Dispatch Considering Water Consumption Minimization, Wind Generation, and Energy Storage System

机译:考虑用水量最小化,风力发电和储能系统的多区域动态经济调度

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This paper introduces a novel, practical model for Multi-Area Dynamic Economic Dispatch (MADED) problem whose primary targets are to minimize both operational cost and water consumption. To make the proposed study more practical, several additional requirements that are inevitable in forthcoming power systems are taken into account including wind power penetration, pumped storage systems, and different interconnected areas. Such a complicated problem needs to be solved by a potent multi-objective optimization tool. In this regard, one of the relatively new optimization approaches, Whale Optimization Algorithm (WOA), is implemented to solve the proposed problem. The obtained optimal solutions on a 40-unit power network illustrate the effectiveness of the proposed approach and reveal a substantial improvement in reducing the operational cost, i.e., more than $30 million is reduced annually.
机译:本文介绍了一种新颖的,实用的多区域动态经济调度(MADED)问题模型,其主要目标是最大程度地降低运营成本和用水量。为了使拟议的研究更加切实可行,在即将到来的电力系统中不可避免地要考虑一些其他要求,包括风力渗透,抽水蓄能系统和不同的互连区域。如此复杂的问题需要通过有效的多目标优化工具来解决。在这方面,采用了一种相对较新的优化方法,即鲸鱼优化算法(WOA)来解决所提出的问题。在40个单元的电网上获得的最佳解决方案说明了该方法的有效性,并显示出在降低运营成本方面的显着改进,即每年减少了超过3,000万美元的费用。

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