由可再生分布式发电组成的非管制电力系统的传输损耗分配

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Heba N. Khalil, S. Dawoud, A. Azmy
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引用次数: 0

摘要

由于可再生能源与传统能源具有不同的特性和强制性输出,可再生分布式发电作为电网的一部分的存在提出了新的挑战,需要不同的处理损失分配技术。本文介绍了一种新的方法来处理包含可再生分布式发电的环网传输损耗分配技术。因此,有必要研究使用不同的损耗分配技术整合可再生分布式发电对单个发电机和电网负荷之间的损耗分配的影响。分析了负荷和可再生能源发电分别时变和同时时变的影响。本文实现了两种不同的损耗分配技术,分别基于电路定律和潮流解。该技术应用于IEEE 14总线系统,其中光伏和风源的优化分配。结果表明,不同负荷水平和可再生能源输出功率对电网损耗分配有显著影响。该方法在考虑负荷和可再生能源发电时间变化的情况下,保持了损失分配的准确性。此外,它克服了大型系统的大量计算问题,从而减少了时间消耗。关键词:损失分摊;解除对电力系统的管制;分布式发电;功率跟踪;可再生能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transmission Loss Allocation in Deregulated Power Systems Comprising Renewable Distributed Generation
Since renewable resources have different characteristics and mandatory output unlike conventional sources, the existence of renewable distributed generation as a part of the network represents a new challenge that needs different handling of loss allocation techniques. In this paper, a new methodology is introduced for handling transmission power loss allocation techniques for loop networks comprising renewable distributed generation. This necessitates an investigation of the effect of integrating renewable distributed generation on loss allocation among individual generators and loads of the network using different loss allocation techniques. Also, the effects of separate and simultaneous time variation of both loading and renewables generation are analyzed. The paper implements two different techniques for loss allocation, which are based on circuit laws and power flow solution. The techniques are applied on IEEE 14-bus system, where Photovoltaics and wind sources are optimally allocated. The results prove the considerable effect of different levels of loading and renewables output power on loss allocation. The proposed methodology maintains the accuracy of loss allocation with considering the time variations of loading and renewable generation. Also, it overcomes the problem of huge calculations for large systems and thus, reduces time consumption. Keywords— Loss allocation; Deregulated power systems; Distributed generation; Power tracing; Renewable energy sources.
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CiteScore
0.20
自引率
14.30%
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