A real-time control framework for smart power networks: Design methodology and stability
A real-time control framework for smart power networks: Design methodology and stability
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DOI：
10.1016/j.automatica.2015.05.003
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发表时间：
2015-08
期刊：
影响因子：
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通讯作者：
Xuan Zhang;A. Papachristodoulou
中科院分区：
文献类型：
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作者：
Xuan Zhang;A. Papachristodoulou
需求响应正被积极考虑作为一个有用的机制，平衡供应和需求在未来的电力网络。迄今为止，相关研究很少关注这种机制与电力网络动态的相互作用，主要集中在解决一个适当制定的优化问题。然而，由于分布式能源增加和供需变化造成的波动，两者之间的耦合不应被忽视。在本文中，我们提出了一个分布式控制架构，实现实时经济优化的电力网络下的外源性干扰。特别是，我们考虑一个传输级网络与树拓扑结构。受最优化分解方法的启发，我们首先建立了一个约束最优潮流（OPF）问题，然后使用原始-对偶分解方法来设计动态反馈控制器。我们证明了整个系统的平衡点的渐近稳定性。数值研究表明，所提出的控制器平衡网络中的潮流迅速，并实现OPF在稳态，即使在面对干扰和意外事件。
Demand response is being actively considered as a useful mechanism for balancing supply and demand in the future power network. Relevant research to date has paid little attention to the interaction of this mechanism with the dynamics of the power network, focusing mainly on solving an appropriately formulated optimization problem. However, the coupling between the two should not be ignored due to fluctuations resulting from increased distributed energy resources and variability in both supply and demand. In this paper, we present a distributed control architecture that implements real-time economic optimization for the power network under exogenous disturbances. In particular, we consider a transmission level network with tree topology. Motivated by optimization decomposition methods, we first formulate a constrained Optimal Power Flow (OPF) problem and then use a primal–dual decomposition approach to design a dynamic feedback controller. We prove the asymptotic stability of the equilibria of the overall system. Numerical investigations illustrate that the proposed controller balances power flow in the network quickly, and achieves OPF in the steady state, even in the face of disturbances and contingencies.