摘要
为改进现有能源利用方式并减少能源支付成本,本文提出了一个由电动汽车、光伏系统和储能系统等组成的热电联产型家庭能源枢纽模型。以能源支付成本最小化为目标,对所提出的模型进行优化调度。通过控制响应电器的能耗,调度电动汽车和储能系统的充放电,协调光伏出力来确定能源枢纽的最佳运行模式,并采用粒子群优化算法对模型进行求解。为证明模型的合理性和有效性,以某地区智能电网环境下冬季家庭负荷数据作为仿真算例进行验证。仿真结果表明,在电价最高的11∶00~16∶00时段,天然气全部分配给CHP用以转化为电能和热能,减少了从电网的购电量,节约了成本。该研究减少了家庭能源支付费用,为智能家庭能源消费的优化调度提供了理论依据。
In order to improve the existing energy utilization mode and reduce the energy payment cost,this paper proposes a cogeneration-type household energy hub model consisting of electric vehicles,photovoltaic systems and energy storage systems.With the goal of minimizing the cost of energy payment,the proposed home energy hub model is optimized and dispatched.By controlling the energy consumption of the responding appliances,scheduling the charging and discharging of electric vehicles and energy storage systems,and coordinating the photovoltaic output,the optimal operating mode of the energy hub is determined.And the particle swarm optimization algorithm is used to solve the model.In order to prove the rationality and effectiveness of the model,the winter household load data in a smart grid environment in a certain area is used as a simulation example for verification.The simulation results show that in the 11~16 period with the highest electricity price,all natural gas is allocated to CHP for conversion into electric energy and heat energy,which reduces the purchase of electricity from the grid and saves costs.The study reduced household energy payments.
引文
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