在重组电力系统中优化分布式发电分配的模糊逻辑方法

Mahiban Lindsay, M. Emimal
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引用次数: 4

摘要

模糊逻辑是优化电力流解决方案的有力工具,特别是在放松管制的电力系统中。通过采用模糊逻辑控制,可以确定配电发电机(DGs)的理想位置,确保通过最佳功率流解决方案和模糊逻辑控制器确定可靠性指数,从而保持系统的可行性。在放松管制的电力系统中,配电发电机组的战略布局在减少电力损失和通过缓解波动提高系统整体性能方面起着至关重要的作用。在放松管制的电力系统中,要找出薄弱环节,尤其是输电公司内部的薄弱环节,就必须采用最佳功率流算法。输电和配电网络都应适当调整,以缓解各自公司内部的拥堵状况。聚合器必须利用从放松管制的电力系统中的配电和输电公司获得的数据来评估系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system
Fuzzy logic emerges as a powerful tool for optimizing power flow solutions, particularly in the context of deregulated power systems. By employing fuzzy logic controls, the ideal placement of distribution generators (DGs) can be determined, ensuring the reliability indices are identified through optimal power flow solutions and fuzzy logic controllers to maintain system feasibility. In a deregulated power system, strategic placement of distribution generator units plays a crucial role in minimizing power loss and enhancing overall system performance by mitigating fluctuations. To identify areas of weakness, especially within transmission companies, accessing optimal power flow algorithms becomes essential in a deregulated power system. Both transmission and distribution networks should be appropriately adjusted to alleviate congestion within the respective companies. The aggregator must assess system performance, utilizing data obtained from distribution and transmission companies within the deregulated power system.
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