基于增强实量子进化算法的动态经济调度解决方案

G. Babu, D. B. Das, C. Patvardhan
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引用次数: 9

摘要

动态经济调度(DED)是一种比经济调度更现实的调度模型,因为电力系统在多个时间段(通常为1小时)内满足需求。DED涉及斜坡率,它动态地改变了机组的发电容量限制。这些动态变化的不等式约束使得DED问题极难求解。本文尝试用改进的RQEA (HSSDED)方法求解动态经济调度问题。所提出的方法已被发现在达到全局最优和在生成解决方案更好的其他技术文献报道高度一致。所提出的技术具有相当的通用性,并具有处理其他同样复杂的电力系统问题和其他问题的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Economic Dispatch Solution using an Enhanced Real-Quantum Evolutionary Algorithm
Dynamic economic dispatch (DED) is more realistic dispatch model than economic dispatch as a power system meets demand over several intervals (typically 1 hour each). DED involves ramp rates, which dynamically change the generation capacity limits of a unit. These dynamically changing inequality constraints make DED problem extremely difficult to solve. In this paper, dynamic economic dispatch problem has been attempted with enhanced RQEA (HSSDED). The proposed method has been found to be highly consistent in reaching global optima and in generating solutions better other techniques reported in literature. The proposed techniques are quite general and possess capability to handle other equally complex power system problems and others.
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