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Optimal Scheduling for Residential Building Based on Virtual Energy Storage System

机译:基于虚拟能量存储系统的住宅楼宇的最佳调度

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The virtual energy storage system (VESS) achieved by using the demand response of thermostatically controlled loads (TCLs) is becoming more popular for smart grid. Demand response of TCLs to provide a cost-effective solution in real-time for the power mismatch due to variable renewable energy generation and avoid extra expenses due to meet the peak demand. To extract energy-saving and lesser cost of electricity, residential consumers perform energy management in accordance with power by grid, renewable generation, energy storage, demand response of TCLs, and electricity price. This requires optimal scheduling of residential consumer demand with manage the energy consumption of TCLs for cost saving. Firstly, mathematical model of TCLs and VESS using TCLs are developed. Then, an optimal scheduling model is developed to minimize the electricity cost of residential consumers. The simulations results show the reduction in the cost of electricity and VESS provides services like conventional energy storage.
机译:通过使用恒温控制负载(TCLS)的需求响应实现的虚拟能量存储系统(DIS)正变得更受智能电网的流行。由于可变可再生能源生成,TCLS对TCL的响应实时为电源不匹配提供了实时的解决方案,并避免了由于满足峰值需求而避免额外费用。为了提取节能和较小的电力成本,住宅消费者按照电网,可再生的一代,能量存储,TCLS的需求响应和电价进行能源管理。这需要对住宅消费者需求的最佳调度,并通过管理节省成本的TCLS能耗。首先,开发了使用TCLS的TCLS和Dess的数学模型。然后,开发了最佳调度模型以最小化住宅消费者的电力成本。仿真结果表明,电力成本的降低提供了传统能量存储等服务。

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