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Open AccessArticle

Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components

1
Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan
2
PTTEP International Limited (Yangon Branch), Yangon 11041, Myanmar
3
Hanoi University of Science and Technology, Hanoi 11615, Vietnam
4
Central Research Institute of Electric Power Industry, Yokosuka 240-0196, Japan
*
Author to whom correspondence should be addressed.
Future Internet 2019, 11(11), 223; https://doi.org/10.3390/fi11110223
Received: 5 October 2019 / Revised: 19 October 2019 / Accepted: 21 October 2019 / Published: 24 October 2019
(This article belongs to the Special Issue Global Trends and Advances Towards a Smarter Grid and Smart Cities)
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. View Full-Text
Keywords: microgrids; power supply-demand management; unit commitment (UC); economic load dispatch (ELD); binary particle swarm optimization (BPSO); quadratic programming (QP); uncertainty microgrids; power supply-demand management; unit commitment (UC); economic load dispatch (ELD); binary particle swarm optimization (BPSO); quadratic programming (QP); uncertainty
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Takano, H.; Goto, R.; Soe, T.Z.; Tuyen, N.D.; Asano, H. Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components. Future Internet 2019, 11, 223.

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