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Operational Optimization for Microgrid of Buildings with Distributed Solar Power and Battery
Author(s) -
Zhang Yuanming,
Jia QingShan
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1424
Subject(s) - microgrid , distributed generation , integer programming , battery (electricity) , computer science , mathematical optimization , stochastic programming , linear programming , optimization problem , energy conservation , solar power , power (physics) , photovoltaic system , distributed computing , engineering , renewable energy , electrical engineering , mathematics , physics , quantum mechanics
Improving building energy efficiency is significant for energy conservation and environmental protection. When there are multiple buildings with solar power generation and batteries connected in a microgrid, coordinating the distributed energy supply and consumption may substantially improve the energy efficiency. We consider this important problem in this paper and make the following three major contributions. First, we formulate the operation optimization of a microgrid of buildings as a two‐stage stochastic programming problem. Second, the problem is transformed into a stochastic mixed‐integer linear programming. Then the scenario method is used to solve the problem. Third, case studies of a university campus is presented. The numerical results show that coordinating the distributed solar power and battery can reduce the operational cost of the microgrid.