Predictive and Cooperative Voltage Control with Probabilistic Load and Solar Generation Forecasting

Shahrzad Mahdavi, Hossein Panamtash, A. Dimitrovski, Qun Zhou
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引用次数: 9

Abstract

This paper proposes predictive cooperative voltage control method in a power system with high penetration of photovoltaic (PV) units. Cooperative distributed control of the reactive power output of PV inverters is coordinated with operation of voltage regulators (VRs) to maintain system voltages within an appropriate bandwidth. Probabilistic forecasting of the solar power generation and the loads is applied to estimate voltage changes which, in turn, are used to set the VR tap positions for preventing large voltage fluctuations with the lowest risk considering the voltage distribution estimation. The fine tuning of voltage adjustment is achieved by cooperative control of PV inverters to maintain a uniform voltage profile across the system. The proposed method is tested on the modified IEEE 123-node test feeder with high PV penetration using real insolation data and with constant loads replaced by several different load profiles. Simulation results demonstrate the effectiveness of the coordinated approach for voltage control with cooperative PV and predictive VR controls taking into account probabilistic load and solar power forecasts.
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基于概率负荷与太阳能发电预测的电压预测与协同控制
针对高光伏发电渗透率的电力系统,提出了一种预测协同电压控制方法。光伏逆变器无功输出的协同分布式控制与稳压器(VRs)的运行相协调,以保持系统电压在适当的带宽内。利用太阳能发电和负荷的概率预测来估计电压变化,进而根据电压分布估计,设置虚拟现实分接位置,以防止电压出现较大波动,风险最低。电压调整的微调是通过光伏逆变器的协同控制来实现的,以保持整个系统的均匀电压分布。该方法在改进的IEEE 123节点测试馈线上进行了测试,该馈线具有高光伏渗透率,使用真实日照数据,并用几种不同的负载剖面代替恒定负载。仿真结果表明,在考虑概率负荷和太阳能发电预测的情况下,PV和预测VR协同电压控制方法是有效的。
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