Logic programming and fuzzy Monte Carlo for distribution network reconfiguration

Z. Vale, B. Canizes, J. Soares, P. Oliveira, T. Sousa, T. Pinto
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引用次数: 6

Abstract

This paper present a methodology to choose the distribution networks reconfiguration that presents the lower power losses. The proposed methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modeling for system component outage parameters. The proposed hybrid method using fuzzy sets and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters.
配电网重构的逻辑规划与模糊蒙特卡罗
本文提出了一种选择配电网络重构方案的方法,该方案具有较低的电力损耗。该方法基于配电系统部件故障和维修的统计数据,采用模糊概率模型对系统部件故障参数进行建模。提出了基于模糊概率模型的模糊集和蒙特卡罗模拟的混合方法,可以同时捕捉部件停机参数的随机性和模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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