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Optimal operation scheduling for microgrid with high penetrations of solar power and thermostatically controlled loads
Effective building/house energy management has been considered as an efficient way to mitigate the fluctuation of renewable energy in power distribution system. This article studies the operation scheduling problem for microgrid with high penetration of solar power and thermostatically controlled loads. Based on the established photovolaic model and thermostatically controlled load model, an optimal operation strategy for microgird is proposed. The scheme is based on the rolling horizon optimization strategy, where the control window continues to proceed with the update of real-time information, aiming to minimize the total operation costs over the current control window. Differential evolution algorithm is used to solve the proposed model, and the simulation results validate the efficiency of the proposed method.
Optimal operation scheduling for microgrid with high penetrations of solar power and thermostatically controlled loads
Effective building/house energy management has been considered as an efficient way to mitigate the fluctuation of renewable energy in power distribution system. This article studies the operation scheduling problem for microgrid with high penetration of solar power and thermostatically controlled loads. Based on the established photovolaic model and thermostatically controlled load model, an optimal operation strategy for microgird is proposed. The scheme is based on the rolling horizon optimization strategy, where the control window continues to proceed with the update of real-time information, aiming to minimize the total operation costs over the current control window. Differential evolution algorithm is used to solve the proposed model, and the simulation results validate the efficiency of the proposed method.
Optimal operation scheduling for microgrid with high penetrations of solar power and thermostatically controlled loads
Luo, Fengji (Autor:in) / Xu, Zhao (Autor:in) / Meng, Ke (Autor:in) / Yang Dong, Zhao (Autor:in)
Science and Technology for the Built Environment ; 22 ; 666-673
17.08.2016
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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