摘要
This paper deals with optimal scheduling of networked microgrids(NMGs)considering resilience constraints.The proposed scheme attempts to mitigate the damaging impacts of electricity interruptions by effectively exploiting NMG capabilities.A three-stage framework is proposed.In Stage 1,the optimal scheduling of NMGs is studied through determining the power transaction between the NMGs and upstream network,the output power of distributed energy resources(DERs),commitment status of conventional DERs as well as demand-side reserves.In Stage 2,the decisions made at Stage 1 are realized considering uncertainties pertaining to renewable generation,market price,power consumption of loads,and unintentional islanding of NMGs from the upstream network and resynchronization.Stage 3 deals with uncertainties of unintentional islanding of each MG from the rest of islanded NMGs and resynchronization.The problem is formulated as a mixed-integer linear programming problem and its effectiveness is assured by simulation studies.
This paper deals with optimal scheduling of networked microgrids(NMGs) considering resilience constraints. The proposed scheme attempts to mitigate the damaging impacts of electricity interruptions by effectively exploiting NMG capabilities. A three-stage framework is proposed. In Stage 1, the optimal scheduling of NMGs is studied through determining the power transaction between the NMGs and upstream network, the output power of distributed energy resources(DERs), commitment status of conventional DERs as well as demand-side reserves. In Stage 2, the decisions made at Stage 1 are realized considering uncertainties pertaining to renewable generation,market price, power consumption of loads, and unintentional islanding of NMGs from the upstream network and resynchronization. Stage 3 deals with uncertainties of unintentional islanding of each MG from the rest of islanded NMGs and resynchronization. The problem is formulated as a mixed-integer linear programming problem and its effectiveness is assured by simulation studies.
基金
the scientific results of the project"Intelligent system for trading on wholesale electricity market"(SMARTRADE)
co-financed by the European Regional Development Fund(ERDF),through the Competitiveness Operational Program(COP)2014-2020,priority axis 1–Research,technological development and innovation(RD&I)to support economic competitiveness and business development,Action 1.1.4-Attracting highlevel personnel from abroad in order to enhance the RD capacity,contract ID P_37_418,no.62/05.09.2016,beneficiary The Bucharest University of Economic Studies
supported by TüBITAK TEYDEB program(No.7170150).
