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학술지 Robust Control of a Microgrid Energy Storage System using Various Approaches
Cited 21 time in scopus Download 20 time Share share facebook twitter linkedin kakaostory
저자
최종우, 신영미, 최문옥, 박완기, 이일우
발행일
201905
출처
IEEE Transactions on Smart Grid, v.10 no.3, pp.2702-2712
ISSN
1949-3053
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TSG.2018.2808914
협약과제
18PH1500, 소규모 분산자원 전력거래 활성화를 위한 중개시스템 개발 및 BM 발굴, 이일우
초록
This paper presents a robust optimal control strategy for an energy storage system (ESS) of a grid-connected microgrid. The robust optimal control guarantees the highest possible economic benefit of the control schedule even under the worst case net demand prediction error conditions. Several robust optimization approaches are proposed to formulate a fast optimal control problem. The global optimum of a concise control problem can be found within a short computation time using mixed-integer linear programming. The rolling horizon controller of the energy management system periodically updates the control schedule by solving the control problem. The state of charge of an ESS is precisely calculated by the piecewise linearization technique using nonlinear efficiency maps. External working conditions such as peak control and demand response can be dynamically applied during the optimization process. The proposed strategy provides control robustness in terms of cost reduction, precise control, and external effect. Future study will focus on the development of a robust control strategy that considers both the worst and best cases of cost reduction.
키워드
Demand response, efficiency map, energy management system, energy storage system, microgrid, mixed-integer linear programming, peak control, robust optimization
KSP 제안 키워드
Demand prediction, Economic benefits, Efficiency map, Energy management system, Global optimum, Grid-connected microgrid, Integer linear programming(ILP), Mixed-Integer Linear Programming(MILP), Optimal control problem, Optimal control strategy, Precise control