Two-stage stochastic scheduling approach for AC/DC hybrid distribution system with renewable energy integration

This paper proposes a stochastic scheduling approach for AC/DC hybrid distribution system considering the output uncertainty of wind and photovoltaic. The energy coordination problem has been formulated as a two-stage resource scheduling problem. The first-stage decision produces an hourly day-ahead...

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Veröffentlicht in:Electrical engineering Jg. 103; H. 1; S. 43 - 55
Hauptverfasser: Xu, Gang, Zhang, Guangchao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021
Springer Nature B.V
Schlagworte:
Convexity
Coordination
Distributed generation
Economics and Management
Electrical Engineering
Electrical Machines and Networks
Energy distribution
Energy Policy
Engineering
Hybrid systems
Mixed integer
Model testing
Optimization
Original Paper
Power Electronics
Reactive power
Renewable energy
Renewable resources
Resource scheduling
Scheduling
Uncertainty
Mixed integer second-order cone programming (MISOCP)
Distributed energy resources
AC/DC hybrid distribution system
Two-stage stochastic optimization
ISSN:0948-7921, 1432-0487
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Zusammenfassung:This paper proposes a stochastic scheduling approach for AC/DC hybrid distribution system considering the output uncertainty of wind and photovoltaic. The energy coordination problem has been formulated as a two-stage resource scheduling problem. The first-stage decision produces an hourly day-ahead pre-scheduling plan for the dispatchable distributed generators. For a set of possible scenarios over the next 24 h, the second stage determines the appropriate corrective decisions to handle the output uncertainty. Besides, the scheduling model for AC/DC hybrid system belongs to the non-convex optimization problem, which is transformed into a mixed integer second-order cone programming problem by second-order cone relaxation and linearization techniques. In this way, the optimization problem can be solved effectively. The proposed model has been tested on a modified IEEE 33 bus AC/DC hybrid system. Simulation results demonstrate that the proposed two-stage stochastic scheduling model can better cope with the renewable energy uncertainty and the active and reactive power coordination scheduling can ensure the safe operation of the entire system.
Bibliographie:ObjectType-Article-1
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ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-020-01047-x