Toward Optimal Energy Management of Microgrids via Robust Two-Stage Optimization

This paper considers energy management in a grid-connected microgrid which has multiple conventional generators (CGs), renewable generators and energy storage systems (ESSs). A robust two-stage optimization approach is presented to schedule the energy generation under uncertainties, aimed at minimiz...

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Bibliographic Details
Published inIEEE transactions on smart grid Vol. 9; no. 2; pp. 1161 - 1174
Main Authors Hu, Wuhua, Wang, Ping, Gooi, Hoay Beng
Format Journal Article
LanguageEnglish
Published IEEE 01.03.2018
Subjects
Cost function
economic dispatch
Economics
Load modeling
Lyapunov optimization
Microgrid
Microgrids
Quality of service
Uncertainty
unit commitment
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ISSN1949-3053
1949-3061
DOI10.1109/TSG.2016.2580575

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Summary:This paper considers energy management in a grid-connected microgrid which has multiple conventional generators (CGs), renewable generators and energy storage systems (ESSs). A robust two-stage optimization approach is presented to schedule the energy generation under uncertainties, aimed at minimizing the long-term average operating cost subject to realistic operational and service constraints. The first stage of optimization determines hourly unit commitment of the CGs via a day-ahead scheduling, and the second stage performs economic dispatch of the CGs, ESSs, and energy trading via a real-time scheduling. The combined solution meets the need of handling large uncertainties in the load demands and renewable generation, and provides an efficient solution under limited computational resource which approximately optimizes the long-term average operating cost while meeting the quality-of-service requirements. The performance of the proposed strategy is evaluated by simulations based on real load demand and renewable generation data.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2580575