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Optimal scheduling of microgrid with consideration of demand response in smart grid

机译:考虑智能电网需求响应的微电网优化调度

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Microgrid is a low-voltage organic system composed of loads, microsources and energy storage devices, and has high demand response potential. Based on advanced metering, efficient control, high-speed communications and rapid storage technology, controllable loads, microsources and energy storage all can be viewed as “generalized demand responses” in microgrid. This paper described a “source-storage-load” interactive demand response hierarchical control system aim to minimizing the operation costs of microgrid. An optimal scheduling model was established to improve load curves and optimize power outputs of microsources, charging and discharging of energy storage devices, and the interactive power between microgrid and the grid. To solve the model this paper improved particle swarm optimization algorithm (PSO) by the introduction of “catfish effect” which comes from economic management. The proposed model and method are validated with the simulation results.
机译:微电网是由负载,微源和能量存储设备组成的低压有机系统,具有很高的需求响应潜力。基于先进的计量,高效控制,高速通信和快速存储技术,可控负载,微源和能量存储都可以被视为微电网中的“一般需求响应”。本文描述了一种旨在最小化微电网运营成本的“源-存储-负载”交互式需求响应分层控制系统。建立了优化调度模型,以改善负荷曲线,优化微源的动力输出,储能装置的充放电,微网与电网的交互动力。为了解决该模型,本文引入了来自经济管理的“ cat鱼效应”,从而改进了粒子群优化算法(PSO)。仿真结果验证了所提模型和方法的有效性。

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