This paper presents a model predictive control approach for a home energy system with a heat pump, a thermal storage, a photovoltaic system and a battery. The modeling of the system in the mixed-integer linear program...
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This paper presents a model predictive control approach for a home energy system with a heat pump, a thermal storage, a photovoltaic system and a battery. The modeling of the system in the mixed-integer linear programming framework is demonstrated and results of a one-year simulation with real measured PV and electric load data are shown. Different solution strategies for the underlying optimization problem are presented. The strategies are compared with respect to their performance and reliability. In this rather complex case branch & cut-based algorithms performed best in solving the optimization problem. (C) 2018 The Authors. Published by Elsevier Ltd.
This paper presents a model predictive control approach for a home energy system with a heat pump, a thermal storage, a photovoltaic system and a battery. The modeling of the system in the mixed-integer linear program...
详细信息
This paper presents a model predictive control approach for a home energy system with a heat pump, a thermal storage, a photovoltaic system and a battery. The modeling of the system in the mixed-integer linear programming framework is demonstrated and results of a one-year simulation with real measured PV and electric load data are shown. Different solution strategies for the underlying optimization problem are presented. The strategies are compared with respect to their performance and reliability. In this rather complex case branch & cut-based algorithms performed best in solving the optimization problem.
In this paper model Predictive control (MPC) algorithm is applied to control, in a coordinated way, the voltage of some sensitive buses of the power network, called pilot nodes. A linear model of partitioned power sys...
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ISBN:
(纸本)9781467324403;9781467324397
In this paper model Predictive control (MPC) algorithm is applied to control, in a coordinated way, the voltage of some sensitive buses of the power network, called pilot nodes. A linear model of partitioned power system is first obtained by state-space system identification as the system model for MPC. Based on the measured voltage at pilot nodes, the centralized secondary MPC controller changes the reactive power injected to the pilot nodes so that voltage deviation of these buses is compensated and reaches its desired value defined by the tertiary level. The proposed method has been tested on the New England 39-bus network and compared with the case without any secondary voltage controller. The simulation results show the effectiveness of the proposed method.
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