Restoration of High-Renewable-Penetrated Distribution Systems Considering Uncertain Repair Workloads  

作　　者：Xiaotian Sun Haipeng Xie Zhaohong Bie Gengfeng Li 

机构地区：[1]State Key Laboratory of Electrical Insulation and Power Equipment,Xi'an Jiaotong University,Xi'an,710049,China

出　　处：《CSEE Journal of Power and Energy Systems》2025年第1期150-162,共13页中国电机工程学会电力与能源系统学报(英文)

基　　金：supported in part by the Science and Technology Project of State Grid Corporation of China(SGJX 0000KXJS900322).

摘　　要：In distribution systems with high penetration of renewable energy, fast restoration after extreme events faces a variety of uncertainties from the output of distributed renewable generations, as well as incomplete knowledge on accurate repair workloads of fault components. Considering these uncertainties, this paper proposes an implicit decision rule based restoration-oriented combined unit-crew dispatch (RCUCD) method to boost the ex-post restoration. First, a “wait and see” uncertainty model is presented to depict the non-anticipativity of repair workloads of fault components. Thereby, a dynamic crew grouping dispatch algorithm is proposed to address the uncertainties in repair workloads based on the improved time-space network theory. Further, a multi-stage stochastic RCUCD model is set up for post-disaster restoration. Based on implicit decision rules, the proposed model is reformulated into a mixed integer linear programming (MILP) problem by introducing axillary safety region variables. To boost computational efficiency, the simplified RCUCD model, as well as the rolling look-ahead RCUCD model is proposed. The effectiveness and efficiency of the proposed methods are tested on IEEE 34-bus and 69-bus distribution systems.

关 键 词：Implicitdecision rule non-anticipativity renewable energy repair crew RESTORATION 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]