智能配电网故障后自愈能力评估研究

Self-healing capability evaluation of smart distribution network after fault

自愈能力作为智能电网的主要特征具有重要的研究意义,但迄今为止尚未有全面的智能配电网自愈能力衡量标准。现有的智能配电网自愈评估主要存在量化指标不全面、忽视自愈过程中的不确定性等问题,导致评估不准确,估值高于实际结果。为了解决上述问题,提出自愈可信度、自愈率、自愈速度和自愈效益4个量化指标,涵盖了配电网故障后负荷恢复的速度、可持续时间和经济效益等因素。在上述指标的基础上,利用信息熵的方法提出了一个综合评价指标——自修复性能;引入不确定性理论来定量描述自愈的不确定性,以解决在自愈评估过程中的不确定性和样本不足的问题。最后,利用构建的含7个区段的配电系统结构进行仿真分析,验证了所提评价指标和评估方法的有效性和准确性。

The self-healing characteristic is a key aspect of smart grids and holds important research significance.However,a comprehensive measurement standard for assessing the self-healing ability of smart distribution networks has not yet been established.Existing evaluations of self-healing in smart distribution networks suffer from various issues,such as incomplete quantitative indicators and neglecting uncertainties in the process of self-healing.These problems leads to inaccurate evaluation and higher-than-actual results.To address these challenges,four quantitative indexes,namely,self-healing credibility,self-healing rate,self-healing speed and self-healing benefit are proposed.These indicators encompass factors such as the speed of load recovery,duration of sustainability,and economic benefits following faults in the distribution network.Being built upon these indicators,a comprehensive evaluation metric called“self-repair performance”is proposed using the method of information entropy.Uncertainty theory is introduced to quantitatively describe the uncertainty of self-healing so as to solve the problems of uncertainty and insufficient samples in the evaluation process.A simulation analysis is conducted on a constructed power distribution system with 7 sections to validate the effectiveness and accuracy of the proposed evaluation indexes and method.