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光伏发电技术 ★ 5.0

一种面向含分布式能源的配电网的数据驱动电压控制策略

A Data-Driven Voltage Control Strategy for Distribution Grids With Distributed Energy Resources

作者 Jiyu Wang · Chin-Yao Chang · Harsha Padullaparti · Prateek Munankarmi · Ismael Mendoza · Govind Saraswat
期刊 IEEE Transactions on Power Systems
出版日期 2025年6月
技术分类 光伏发电技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 配电系统 数据驱动控制 电压调节 传统设备 分布式能源资源
语言:

中文摘要

传统配电网控制方法多基于模型,而高级量测基础设施的部署使电力企业具备了基于实时数据的控制能力。从模型驱动向数据驱动控制的转变显著提升了系统管理的适应性,无需依赖系统建模即可动态响应运行条件变化。本文提出一种基于行为数据驱动的控制方法,通过调控传统设备与分布式能源(DER)实现实际配电网的电压调节。研究对象包含有载调压变压器、三组电容器组及光伏系统。在多种场景下通过实验平台验证了所提算法的有效性,结果表明其电压调节成功率高达99%。

English Abstract

Traditionally, distribution system control approaches have been model-based. The deployment of advanced metering infrastructure has provided electric utilities with the capability of data-driven control with real-time measurements. The shift from model-based to data-driven control represents a significant advancement in the management of distribution systems, offering a more adaptive approach to system control because of the ability to dynamically adapt to changing conditions without the need for system modeling. In this paper, a behavioral data-driven control method is developed to provide voltage regulation to an actual distribution system by controlling the legacy devices and distributed energy resource (DER) assets. The studied distribution system has a load tap changer and three capacitor banks as the legacy devices and photovoltaic systems as the DERs. The performance of the proposed control algorithm is validated using a laboratory test bed setup considering multiple scenarios. The results show that the proposed control achieved 99% voltage regulation.
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SunView 深度解读

该数据驱动电压控制技术对阳光电源SG系列光伏逆变器和ST储能系统具有重要应用价值。研究提出的无模型自适应控制方法可直接应用于iSolarCloud平台,通过实时量测数据优化光伏逆变器的无功调节策略,替代传统依赖精确线路参数的模型驱动方法。99%的电压调节成功率验证了数据驱动控制的可靠性,可增强SG逆变器在弱电网环境下的电压支撑能力。该技术与阳光电源PowerTitan储能系统的能量管理策略结合,能实现光储协同的配电网电压优化控制,提升分布式能源接入能力。建议将行为数据驱动算法集成到逆变器本地控制器,降低对通信和云端计算的依赖,提高系统响应速度和鲁棒性。