Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control
Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control
复制标题
电力系统动力学作为最优负荷控制的原对偶算法
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
S. Low
中科院分区：
文献类型：
--
作者：
Changhong Zhao;U. Topcu;Na Li;S. Low
我们制定了一个最优的负载控制（OLC）的问题，在电力网络中的目标是最小化跟踪一个操作点的总成本受到网络上的功率平衡。我们证明了摆动动态和分支潮流，再加上基于频率的负载控制，作为一个分布式的原始-对偶算法来解决OLC。即使系统有多个平衡点，我们证明了它仍然收敛到一个最佳点。这个结果意味着每个总线处的局部频率偏差准确地传达了关于负载的全局功率不平衡的正确信息，以做出被证明是全局最优的个体决策。它允许完全分散的解决方案，而无需总线之间的显式通信。仿真结果表明，所提出的OLC机制可以降低总线频率，显着改善瞬态性能。
We formulate an optimal load control (OLC) problem in power networks where the objective is to minimize the aggregate cost of tracking an operating point subject to power balance over the network. We prove that the swing dynamics and the branch power flows, coupled with frequency-based load control, serve as a distributed primal-dual algorithm to solve OLC. Even though the system has multiple equilibrium points, we prove that it nonetheless converges to an optimal point. This result implies that the local frequency deviations at each bus convey exactly the right information about the global power imbalance for the loads to make individual decisions that turn out to be globally optimal. It allows a completely decentralized solution without explicit communication among the buses. Simulations show that the proposed OLC mechanism can resynchronize bus frequencies with significantly improved transient performance.