Coordinated Inverter Control to Increase Dynamic PV Hosting Capacity: A Real-Time Optimal Power Flow Approach

被引：29

作者：

Yao, Yiyun ^{[1
]}

Ding, Fei ^{[1
]}

Horowitz, Kelsey ^{[1
]}

Jain, Akshay ^{[1
]}

机构：

[1] Natl Renewable Energy Lab, Golden, CO 80401 USA

来源：

IEEE SYSTEMS JOURNAL | 2022年 / 16卷 / 02期

关键词：

Inverters; Real-time systems; Reactive power; Voltage control; Control systems; Voltage measurement; Load modeling; Distributed energy resources (DERs) management; distributed photovoltaics (PV); hosting capacity; real-time optimal power flow (OPF); state estimation (SE); OPTIMIZATION;

D O I：

10.1109/JSYST.2021.3071998

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

High penetrations of distributed photovoltaics (PV) could cause adverse grid impacts, such as voltage violations. The recent development in inverter technologies provides the opportunity to develop control systems to realize effective PV governance, and thus, to improve dynamic PV hosting capacity for distribution grids. In this article, a novel distributed energy resource management system (DERMS) solution is proposed by adopting the real-time optimal power flow approach for coordinated control of the distributed PV inverters. The proposed approach eliminates the dependence on load knowledge via measurement feedback correction, and it can be implemented in real time. One challenge is that the technique is sensitive to the data availability and integrity of voltage measurements. Therefore, a decentralized DERMS approach is developed by leveraging the concepts of state estimation. The framework and the effectiveness of the solution approach are numerically demonstrated on a real distribution feeder in Southern California.

引用

页码：1933 / 1944

页数：12

共 39 条

[1]

Abur A, 2004, Power System State Estimation: Theory and Implementation

[2]

[Anonymous], 2018, IEEE Std 1547-2018 (Revision of IEEE Std 1547-2003, P1, DOI [10.1109/I EEESTD.2018.8332112, 10.1109/IEEESTD.2018.8291741, DOI 10.1109/IEEESTD.2018.8291741, DOI 10.1109/IEEESTD.2018.8332112]

[3]

ANSI, 2003, C8412020 ANSI

[4] Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach [J].