NDLI: Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components

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Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components

Content Provider	MDPI
Author	Takano, Hirotaka Goto, Ryota Soe, Thin Zar Tuyen, Nguyen Duc Asano, Hiroshi
Copyright Year	2019
Description	Operation scheduling is one of the most practical optimization problems to efficiently manage the electric power supply and demand in microgrids. Although various microgrid-related techniques have been developed, there has been no established solution to the problem until now. This is because the formulated problem becomes a complicated mixed-integer programming problem having multiple optimization variables. The authors present a framework for this problem and its effective solution to obtain an operation schedule of the microgrid components considering their coordination. In the framework, trading electricity with traditional main power grids is included in the optimization target, and uncertainty originating from variable renewable energy sources is considered. In the solution, the formulated problem is reformulated to reduce the dimensions of its solution space, and, as a result, a combined algorithm of binary particle swarm optimization and quadratic programming is applicable. Through numerical simulations and discussions of their results, the validity of the authors’ proposal is verified.
Starting Page	223
e-ISSN	19995903
DOI	10.3390/fi11110223
Journal	Future Internet
Issue Number	11
Volume Number	11
Language	English
Publisher	MDPI
Publisher Date	2019-10-24
Access Restriction	Open
Subject Keyword	Future Internet Industrial Engineering Microgrids Power Supply-demand Management Unit Commitment (uc) Economic Load Dispatch (eld) Binary Particle Swarm Optimization (bpso) Quadratic Programming (qp) Uncertainty
Content Type	Text
Resource Type	Article

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