Reverse and Forward Engineering of Local Voltage Control in Distribution Networks

• 成果类型: Article
• 署名作者: Zhou, Xinyang; Farivar, Masoud; Liu, Zhiyuan; Chen, Lijun; Low, Steven H.
• 署名单位: United States Department of Energy (DOE); National Renewable Energy Laboratory - USA; University of Colorado System; University of Colorado Boulder; California Institute of Technology; Alphabet Inc.; Google Incorporated
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.2994184
• 发表日期: 2021
• 页码: 1116-1128
• 关键词: Voltage control; optimization; Heuristic algorithms; CONVERGENCE; Power system dynamics; Reactive power; Reverse engineering; Distributed control and optimization; network dynamics as optimization algorithms; power networks; reverse and forward engineering; voltage regulation

摘要

The increasing penetration of renewable and distributed energy resources in distribution networks calls for real-time and distributed voltage control. In this article, we investigate local Volt/VAR control with a general class of control functions, and show that the power system dynamics with nonincremental local voltage control can be seen as a distributed algorithm for solving a well-defined optimization problem (reverse engineering). The reverse engineering further reveals a fundamental limitation of the nonincremental voltage control: the convergence condition is restrictive and prevents better voltage regulation at equilibrium. This motivates us to design two incremental local voltage control schemes based on the subgradient and pseudo-gradient algorithms, respectively, for solving the same optimization problem (forward engineering). The new control schemes decouple the dynamical property from the equilibrium property, and have much less restrictive convergence conditions. This article presents another step toward developing a new foundation-network dynamics as optimization algorithms-for distributed real-time control and optimization of future power networks.