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Distributed generator-based distribution system service restoration strategy and model-free control methods

2021-05-19

文章导读

随着能源互联网的高速建设发展以及实现绿色可持续发展的现实需要，基于现有电源和电网的条件，大力推进分布式可再生能源的发展将成为电力系统发展的必然趋势。分布式电源的快速增长为配电系统提供了新的可调控资源。在配电网供电恢复期间，分布式电源可以显著提高恢复速度。可再生能源作为分布式电源的主体，其不确定性和间歇性会直接影响配电网恢复的效果。因此，本文探讨了分布式可再生能源作为主要电源在配电系统供电恢复过程中的作用，并提出了一种可以有效解决不确定性的方法。文中所提出的方法和模型通过IEEE 123节点测试系统进行了仿真验证。

Distributed generator-based distribution system service restoration strategy and model-free control methods

基于分布式电源的配电网恢复策略和实时控制方法

Weijia Liu, Yue Chen, Fei Ding

（Power System Engineering Center, National Renewable Energy Laboratory, 15013 Denver West Pkwy, Golden, CO 80401, USA）

Abstract

The rapid growth of distributed generator (DG) capacities has introduced additional controllable assets to improve the performance of distribution systems in terms of service restoration. Renewable DGs are of particular interest to utility companies, but the stochastic nature of intermittent renewable DGs could have a negative impact on the electric grid if they are not properly handled. In this study, we investigate distribution system service restoration using DGs as the primary power source, and we develop an effective approach to handle the uncertainty of renewable DGs under extreme conditions. The distribution system service restoration problem can be described as a mixed-integer second-order cone programming model by modifying the radial topology constraints and power flow equations. The uncertainty of renewable DGs will be modeled using a chance-constrained approach. Furthermore, the forecast errors and noises in real-time operation are solved using a novel model-free control algorithm that can automatically track the trajectory of real-time DG output. The proposed service restoration strategy and model-free control algorithm are validated using an IEEE 123-bus test system.

Keywords

Distribution system service restoration, Distributed generator (DG), Intermittent renewable energy sources, Model-free control, Power system resilience, Uncertainty management

Fig.1 Test system

Fig.2Renewable DG generation and forecast profiles

Fig.3 Service restoration topology

Fig.4Total real-time error between scheduled DG outputs and actual DG generation capability

Fig.5 Real-time wind power generation based on the model- free control algorithm

本文引文信息

Liu W, Chen Y, Ding F J (2021) Distributed generator-based distribution system service restoration strategy and model-free control methods, 4(2): 126-135

刘伟佳，陈跃，丁菲 (2021) 基于分布式电源的配电网恢复策略和实时控制方法. 全球能源互联网（英文），4(2): 126-135

Biographies

Weijia Liu

Weijia Liu received the B. Eng. and Ph.D. degrees in electrical engineering from Zhejiang University, Hangzhou, China, in 2011 and 2016, respectively. He is currently a researcher at the Power Systems Engineering Center, National Renewable Energy Laboratory, Golden, CO, USA. His research interests include power system restoration and resilience, integrated energy systems, and smart grid.

Yue Chen

Yue Chen received the Ph.D. degree in electrical and computer engineering from the University of Florida in 2016. He is currently a researcher at the Power Systems Engineering Center, National Renewable Energy Laboratory, Golden, CO, USA. His research focuses on data-driven control and optimization techniques with power system applications.

Fei Ding

Fei Ding received the B.S. and M.S. degrees from Tianjin University, China, in 2008 and 2010, respectively and the Ph.D. degree from Case Western Reserve University in 2014. She is currently a senior research engineer at the National Renewable Energy Laboratory (NREL), Golden, CO, USA. Her research interests include renewable energy grid integration, distributed energy resource aggregation and controls, and grid resilience and security. She is leading multiple projects at NREL on developing advanced models and controls for managing grid-edge resources to enhance grid flexibility, reliability, and resilience, and to develop a new advanced distribution management system and distributed energy resource management system applications to modernize emerging distribution grids. She has secured multimillion-dollar funding for NREL to advance distribution grid operations and resilience.

编辑：王闻昊王彦博

审核：王伟

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