10.1016/j.apenergy.2017.07.007

10.1016/j.apenergy.2017.07.007 Applied Energy 210 (2018) 944–963 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming a,⇑ b c Mohsen Nemati , Martin Braun , Stefan Tenbohlen Siemens AG, Humboldt Street 59, 90443 Nuremberg, Germany Fraunhofer IWES, University of Kassel, Kassel, Germany University of Stuttgart-IEH, Stuttgart, Germany highlights Day-ahead dispatching of the renewable energy resources inside a microgrid. Genetic algorithm based optimizer for solving unit commitment and economic dispatch. Aging model of the Li-Ion battery based on an event-driven method. Mixed integer linear programming for optimal power flow of microgrids. ar ti c l e i nf o ab stra ct Article history: Energy Management System (EMS) applications of modern power networks like microgrids have to Received 31 March 2017 respond to a number of stringent challenges due to current energy revolution. Optimal resource dispatch Received in revised form 6 June 2017 tasks must be handled with specific regard to the addition of new resource types and the adoption of Accepted 10 July 2017 novel modeling considerations. In addition, due to the comprehensive changes concerning the multi cell Available online 21 July http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

10.1016/j.apenergy.2017.07.007

Elsevier — Jun 11, 2020

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Abstract

Applied Energy 210 (2018) 944–963 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming a,⇑ b c Mohsen Nemati , Martin Braun , Stefan Tenbohlen Siemens AG, Humboldt Street 59, 90443 Nuremberg, Germany Fraunhofer IWES, University of Kassel, Kassel, Germany University of Stuttgart-IEH, Stuttgart, Germany highlights Day-ahead dispatching of the renewable energy resources inside a microgrid. Genetic algorithm based optimizer for solving unit commitment and economic dispatch. Aging model of the Li-Ion battery based on an event-driven method. Mixed integer linear programming for optimal power flow of microgrids. ar ti c l e i nf o ab stra ct Article history: Energy Management System (EMS) applications of modern power networks like microgrids have to Received 31 March 2017 respond to a number of stringent challenges due to current energy revolution. Optimal resource dispatch Received in revised form 6 June 2017 tasks must be handled with specific regard to the addition of new resource types and the adoption of Accepted 10 July 2017 novel modeling considerations. In addition, due to the comprehensive changes concerning the multi cell Available online 21 July

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