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Impact Studies and Cooperative Voltage Control for High PV Penetration ?

机译：用于高PV渗透的影响研究和协作电压控制

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The drastically increasing penetration of photovoltaic (PV) has posed tremendous challenges in operation, control, and protection in distribution networks. The over-voltage issue is one of major concerns for extremely high PV penetration (e.g. 100%). It is critical to identify the most sensitive locations to high PV penetration and apply effective methods to mitigate the over-voltage issue. This paper introduced a novel greedy search algorithm to locate worst-case scenarios of over-voltage in both distributed and centralized PV configurations, as well as a cooperative voltage control method to mitigate over-voltage. The search algorithm has the computational advantage over existing stochastic approach and provides more insights in impact studies. The cooperative control method relies upon reactive power compensation to converge system voltage to a predefined value within standard limits. Moreover, a clustering strategy is applied to divide the network into several clusters, within which all nodes share information with neighboring nodes following a scalable communication architecture. The control algorithms and communication hierarchies presented in this paper have been implemented into OpenDSS to form the Multi Agent (MA) OpenDSS package, which has been made available to the reader. The effectiveness of developed methods are demonstrated through simulation studies on the IEEE 123-node test feeder under four different load levels.
机译：光伏（PV）的急剧普及普及在分销网络中的运行，控制和保护方面构成了巨大的挑战。过电压问题是极高PV渗透率（例如100％）的主要问题之一。将最敏感的位置识别为高PV渗透，并应用有效方法以减轻过电压问题。本文介绍了一种新颖的贪婪搜索算法，以定位分布式和集中式PV配置中的过电压的最坏情况场景，以及用于减轻过电压的协作电压控制方法。搜索算法具有通过现有随机方法的计算优势，并提供更多的影响研究洞察力。协同控制方法依赖于无功功率补偿，以将系统电压与标准限制内的预定值收敛到预定值。此外，将群集策略应用于将网络划分为几个集群，在其中所有节点在可扩展通信架构之后与相邻节点共享信息。本文呈现的控制算法和通信层次结构已被实现为Findss，以形成多代理（MA）Opendss包，该包已提供给读者。通过在四种不同的负载水平下的IEEE 123节点测试馈线的仿真研究证明了开发方法的有效性。

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