基于可信性理论的有源配电网可靠性分析
Reliability Assessment of Distribution Networks with Distributed Generators Based on Credibility Theory
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摘要:
随着分布式发电技术逐步成熟，需要对有源配电网可靠性进行评估。由于分布式发电设备是新应用的配网元件，缺少历史统计数据，进而使得传统可靠性分析方法难以开展。为解决这一难题，提出了基于可信性理论的配电网可靠性分析方法。首先构建了评估指标，即随机模糊停电电量期望值、随机模糊用户平均停电持续时间、随机模糊用户平均停电频率指标。然后建立了基于可信性理论的算法，利用随机模糊期望值求解随机模糊停电电量期望值、随机模糊用户平均停电持续时间，利用平均机会测度求解随机模糊用户平均停电频率。应用所提方法对IEEE系统的计算表明，本文提出的算法具有一定的实用性，可以应用于配网的可靠性分析工作。 Abstract:The reliability of distribution system including distributed generation (DG) need to be analyzed while the DG technology has been used widely now. Traditional reliability assessment theory can hardly to be applied, because basic historical DG reliability data has not been accumulated. The distribution Systems reliability assessment including distributed generation based on credibility theory is proposed to solve this problem. Three new reliability index are proposed: Random-Fuzzy Expected Energy Not Supplied(RFEENS), Random-Fuzzy Customer Average Interruption Duration Index(RFCAIDI), and Random-Fuzzy Customer Average Interruption Frequency Index(RFCAIFI). Assessment procedure for RFEENS and RFCAIDI is based on random fuzzy expected value, while the procedure for RFCAIFI is based on average chance Measure. The test results on IEEE system demonstrate that the proposed method is flexible enough to accommodate system's security objectives.
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