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Coordinated control of energy storage devices and photovoltaic inverters for voltage regulation based on multi-agent system

机译:基于多智能体系统的储能装置与光伏逆变器协调控制电压调节

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Distributed photovoltaic (PV) integration with high penetration has resulted in increasing problems of overvoltage and undervoltage in low-voltage (LV) distribution networks. This paper proposes a coordinated control scheme of energy storage devices and PV inverters to solve the voltage rise/drop issues. And the scheme is guided by voltage-power sensitivity. When the voltage exceeds the upper limit, the energy storage devices are charged instead of curtailing the active power of PV inverters, and the stored energy is discharged after making use of the reactive power of PV inverters when the voltage is less than the lower limit. What's more, in view of the situation that the number of monitoring devices is much smaller than that of network nodes, a voltage estimation algorithm is proposed, in which the feeder is divided into multiple regions and the voltage extremums of each region are estimated on the basis of voltage drop theory. Both voltage estimation algorithm and regulation scheme are implemented by a multi-agent system with a redundant communication scheme to improving the reliability. Finally, the proposed method is evaluated in a LV distribution network model in Matlab, and the results verify the effectiveness.
机译:具有高渗透率的分布式光伏(PV)集成导致低压(LV)配电网络中过电压和欠电压问题日益严重。本文提出了一种储能装置和光伏逆变器的协调控制方案,以解决电压上升/下降问题。并且该方案以电压-功率灵敏度为指导。当电压超过上限时,对储能装置进行充电而不是减少PV逆变器的有功功率,并且当电压低于下限时,在利用PV逆变器的无功功率后会释放存储的能量。此外,针对监控设备数量远少于网络节点数量的情况,提出了一种电压估计算法,将馈线分为多个区域,并在每个区域上估计每个区域的电压极值。压降理论的基础。电压估计算法和调节方案均由具有冗余通信方案的多智能体系统实现,以提高可靠性。最后,在Matlab的低压配电网模型中对该方法进行了评估,结果验证了该方法的有效性。

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