Reverse and Forward Engineering of Local Voltage Control in Distribution Networks
Reverse and Forward Engineering of Local Voltage Control in Distribution Networks
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DOI：
10.1109/tac.2020.2994184
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发表时间：
2018-01
影响因子：
6.8
通讯作者：
Xinyang Zhou;Masoud Farivar;Zhiyuan Liu;Lijun Chen;S. Low
中科院分区：
文献类型：
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作者：
Xinyang Zhou;Masoud Farivar;Zhiyuan Liu;Lijun Chen;S. Low
可再生能源和分布式能源在配电网中的渗透率越来越高，这就要求实时分布式电压控制。在这篇文章中，我们研究了本地电压/无功控制与一般类的控制功能，并表明，电力系统的动态与非增量本地电压控制可以看作是一个分布式的算法，用于解决一个定义明确的优化问题（逆向工程）。逆向工程进一步揭示了非增量电压控制的基本局限性：收敛条件是限制性的，并防止在平衡时更好的电压调节。这促使我们设计两个增量局部电压控制方案的次梯度和伪梯度算法的基础上，分别解决同一优化问题（正向工程）。新的控制方案解耦的动力学性质的平衡性质，并有更少的限制收敛条件。本文提出了另一个步骤，发展一个新的基础-网络动态优化算法-分布式实时控制和优化未来的电力网络。
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.