A distributed model-free adaptive voltage control algorithm for distribution systems with extensive integration of photovoltaics

Baoye Tian, Zhifei Guo, Baorong Zhou, Lijuan Fan, Zhuoming Deng, Yongjie Zhang, Zuowei You, Lingxue Lin
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Abstract

The widespread integration of photovoltaics (PVs) presents significant challenges to the operation and control of distribution systems, particularly in maintaining voltage stability at nodes with PV connections. To address these challenges, this paper proposes a voltage control algorithm based on distributed model-free adaptive control (MFAC). The control objective is to achieve real-time reactive-power-voltage coordination under constraints including PV power output limitations, voltage safety ranges, and the communication network topology. The proposed method estimates dynamic linearization parameters that represent the voltage control characteristics of the distribution systems by utilizing real-time data from distributed PVs and enabling communication between adjacent nodes. Rather than relying on a precise network model, the algorithm achieves robust voltage control by estimating these parameters from historical and real-time sampling data, employing a data-driven approach to iteratively update control strategies. Multi-scenario simulations of a 32-bus power system demonstrated the effectiveness and robustness of the algorithm across diverse operating conditions.

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广泛集成光伏的分布式无模型自适应电压控制算法
光伏发电的广泛集成对配电系统的运行和控制提出了重大挑战,特别是在保持光伏连接节点的电压稳定性方面。为了解决这些问题,本文提出了一种基于分布式无模型自适应控制(MFAC)的电压控制算法。控制目标是在光伏输出功率限制、电压安全范围和通信网络拓扑等约束下实现实时无功-电压协调。该方法利用分布式光伏的实时数据和相邻节点之间的通信来估计代表配电系统电压控制特性的动态线性化参数。该算法不依赖于精确的网络模型,而是通过从历史和实时采样数据中估计这些参数来实现鲁棒电压控制,并采用数据驱动的方法迭代更新控制策略。32总线电力系统的多场景仿真验证了该算法在不同运行条件下的有效性和鲁棒性。
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