DOI:10.1007/s40565-019-0555-0 |
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A three-stage approach for resilience-constrained scheduling of networked microgrids |
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Net amount: 856 |
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Author:
Saeed TEIMOURZADEH1, Osman Bulent TOR1, Mahmut Erkut CEBECI1, Adela BARA2, Simona Vasilica OPREA2
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Author Affiliation:
1. Engineering, Procurement, Research and Analysis (EPRA)
Electric Energy Co., Ankara, Turkey;
2. Department of Economic Informatics and Cybernetics,
Faculty of Cybernetics, Statistics and Economic Informatics,
Bucharest University of Economic Studies (BUES),
Bucharest, Romania
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Foundation: |
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. In addition, this paper is supported
by TU¨ BI˙TAK TEYDEB program (No. 7170150). |
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Abstract: |
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. |
Keywords: |
Networked microgrid (NMG), Distributed energy resource (DER), Power system resilience, Point estimate method |
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Online Time:2019/07/31 |
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