Analysis on the Influencing Factors of Distribution System Reliability by Network Structure

Yang Fan, Liu Jun, W. Xin, Ren Lijia
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Abstract

Due to continuous expansion of the power system, the conditions for system operation are becoming more and more complex. In this paper, the improved Monte-Carlo method is used to evaluate reliability of distribution system, so as to solve the problem that the operating conditions of the distribution network system are complex, the increase of the amount of calculation and the low calculation speed of the conventional method. By using the method of equal dispersion sampling, the average value of multiple sub-interval states and test functions is calculated, which further improves the utilization rate of random numbers. In this paper, the reliability evaluation method of distribution network based on decentralized sampling Monte-Carlo method is used to calculate and summarize the influencing factors and trend of the reliability by different network structures. Meanwhile, the structure of network in Shanghai is analyzed and optimized, which obviously improves the reliability and solves the problem of low power supply reliability in this area.
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基于网络结构的配电系统可靠性影响因素分析
随着电力系统规模的不断扩大,系统运行的条件也越来越复杂。本文采用改进的蒙特卡罗方法对配电网可靠性进行评估,以解决配电网系统运行工况复杂、计算量大、传统方法计算速度慢的问题。采用等离散抽样的方法,计算了多个子区间状态和测试函数的平均值,进一步提高了随机数的利用率。本文采用基于分散抽样蒙特卡罗法的配电网可靠性评估方法,计算并总结了不同网络结构下配电网可靠性的影响因素和趋势。同时,对上海地区电网结构进行了分析和优化,明显提高了可靠性,解决了该地区供电可靠性低的问题。
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