Research On Restoration Strategy Of Distribution Network With Controllable Load Based On Dynamic Dividing Scenario

With the development of Demand Response(DR)technology,the access control of high-permeability Distributed Generator(DG)and the power supply form of load have gradually changed to active response mode.Although multi-party decision makers participate in distribution network fault recovery to improve the recovery capacity of the distribution network,it also increases the difficulty of solving the response scheme.The time variation of load and DG further exacerbates the problem.This paper considers the time-varying situation of power supply capacity after distribution network failure,and conducts in-depth research on the problem of demand side controllable load responsing failure recovery.In order to solve the above problems,this paper mainly carries out the following work:Firstly,it summarizes the graph theory knowledge used to simplify the structure of Active Distribution Network(ADN),the search principle for topology analysis of distribution network,the push-back algorithm for power flow calculation,the basic knowledge of improved ant colony algorithm and game theory for optimization.To lay a theoretical foundation for the formulation of a multi-decision distribution network recovery plan.Secondly,in order to meet the competition of the demand side power load on the limited power resources in the case of distribution network failure,an improved electricity auction mechanism-VCG auction is introduced and its feasibility is proved.A two-layer optimization model for fault recovery of distribution network based on VCG electricity auction is constructed.In order to speed up the formulation of the recovery strategy,the auction grade indicator function is defined to divide the users participating in the electricity auction,and the redundancy of participation in the auction is reduced;Prestoring the user's satisfaction function at the auction site reduces communication pressure;A discrete random learning algorithm based on probability distribution is proposed to guide the players to participate in the accelerated auction of electricity auction.On the basis of the electric auction,the improved ant colony algorithm is called to optimize the recovery scheme.Finally,considering the time variation,based on the load controllability and importance classification,the load prediction curve is integrated.The recovery scenario indicator function and the load fluctuation index function are defined.Combined with the AGI,a dynamic scenario division method for distribution network fault recovery is proposed.Considering the demand-side controllable load response,an ADN dynamic restoration double-layer optimization model with controllable load is constructed.In the lower layer,recovery scenarios such as network reconstruction with optimal network loss,optimal power distribution with controllable load,and islanding with optimal outage load are set,and the improved ant colony algorithm and topology analysis method are used to solve the problem.The upper layer is equipped with an objective function that integrates the indicators of the outage load,the number of switching operations,and the network loss of each recovery scenario,and uses the Analytic Hierarchy Process(AHP)to solve the overall recovery scheme.