An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication

A. Haidar, Adila Fakhar, K. Muttaqi
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引用次数: 5

Abstract

The mitigation of uncertainty in the availability of power generation from micro-grids to enable renewable resources to be dispatched is a daunting task for the individual operators. Installing energy storage systems may reduce the impact of renewable energy intermittency. However, a peculiarity in energy management can be arisen, particularly, when different energy providers manage these resources. Hence, an intelligent utilization approach should be devised to maximize the benefits of using battery energy storage, since the cost of this system is the most expensive part. This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. Frequency shift keying (FSK) technique has been adopted for transmitting the binary signal over the power line communication (PLC). A part of the algorithm is utilized to deal with the optimal scheduling control while the other actuates the dynamic demand response based Photovoltaic (PV) power forecasting. The performance of the proposed approach has been validated using data collected from the practical network of “Bario, Sarawak”. The presented results suggest that the implementation of the proposed strategy can improve the efficiency of the overall system, causing less operating cost and fast return.
利用电力线通信实现最优能量管理和电力共享控制的集群微电网有效电力调度策略
减轻微电网发电可用性的不确定性,使可再生资源得以调度,对单个运营商来说是一项艰巨的任务。安装储能系统可以减少可再生能源间歇性的影响。然而,能源管理的特殊性可能会出现,特别是当不同的能源供应商管理这些资源时。因此,应该设计一种智能利用方法,使使用电池储能的效益最大化,因为该系统的成本是最昂贵的部分。本文提出了一种有效的集群微电网电力调度策略。该混合算法利用二进制数据实现了最优能量管理和功率共享控制。电力线通信(PLC)采用移频键控(FSK)技术传输二进制信号。该算法一部分用于处理最优调度控制,另一部分用于实现基于动态需求响应的光伏发电功率预测。所提出的方法的性能已经使用从“巴里奥,沙捞越”的实际网络收集的数据进行了验证。结果表明,该策略的实施可以提高整个系统的效率,减少运营成本,快速回报。
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