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Research On Operational Strategies And Planning Of Distributed Resources In Active Distribution Systems

Posted on:2022-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:M Y YangFull Text:PDF
GTID:2492306338997029Subject:Electrical engineering
Abstract/Summary:
In order to achieve the goal of peaking carbon dioxide emissions and carbon neutrality,the state strongly supports the integration of distributed generation(DG)and electric energy substitution.However,on the one hand,the integration of large-scale intermittent renewable energy leads to the deterioration of the operation of the power grid.On the other hand,the electrification of terminal consumption makes the economic efficiency of system operation decreases.Therefore,this paper mainly studies the optimized operation and configuration of distributed resources in active distribution system(ADS).On the one hand,ES is configured on the side of the high-voltage distribution network to reduce the pressure of system peak shaving and improve the economy of system operation.On the other hand,active control strategies of DG with/without communication failures are studied respectively to improve the control performance of the system and realize the safe and economical consumption of DG.Research on ES configuration in the high-voltage side distribution network is dedicated to improving the economics of system operation.Take the incremental power distribution system as an example,types of costs,available revenues and corresponding operational constraints are analyzed first.Based on the annual and daily load characteristics,as well as the principle of preferentially obtaining high returns,an intellectual generating method of operational strategies is proposed.Then,an ES planning model is established considering the decline of ES capacity in the discharge process.The proposed model aims to maximize the economic profits with the annual simulation based on the proposed intellectual generating method of operational strategies.The differential evolution algorithm is adopted to solve the problem.The optimization of the DG operation strategies of the distribution network on the medium voltage side focuses on improving the control performance of the system.When there are no communication failures,DG are observable and controllable.The operation optimization of DG often focuses on the economics and safety of grid operation.However,when there are communication failures,DG are unobservable and uncontrollable,and the operational risks are rising.Thus,this paper proposes an optimization model to enable differentiated local control strategies for DGs with communication failures.First,the correspondence model between cyber failure scenarios and cyber link states is established based on the failure mode effect analysis(FMEA)method,and the corresponding relations between cyber failure scenarios and cyber link states can be obtained.Then a bi-level multi-objective optimization model of differentiated local control strategies for DGs is proposed,which considers the uncertainties of cyber failure scenarios and the uncertainties in power generations and load demands.It aims at minimizing the operational risks including voltage deviation and overcurrent(load curtailment)situations.Interval mathematics and intelligent optimization algorithm are adopted for solving the optimization problem.The simulation of the test systems verifies the effectiveness of the ES configuration in the high-voltage side distribution network and the DG operation strategies of the medium voltage distributed power generation.This study is instrumental in configuring ES and devising effective operation strategies for DGs in ADS.
Keywords/Search Tags:active distribution systems, distributed generations, energy storage planning, differentiated local control strategy, intellectual generating method of operational strategies
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