PRECISE Seminar: Decentralized Primary Frequency Control in Power Networks
Abstract: We augment existing generator-side primary frequency control with load-side control that are local, ubiquitous, and continuous. The mechanisms on both the generator and the load sides are decentralized in that their control decisions are functions of locally measurable frequency deviations. These local algorithms interact over the network through nonlinear power flows. We design the local frequency feedback control so that any equilibrium point of the closed-loop system is the solution to an optimization problem that minimizes the total generation cost and user disutility subject to power balance across entire network. With Lyapunov method we derive a sufficient condition ensuring an equilibrium point of the closed-loop system is asymptotically stable. Simulation demonstrates improvement in both the transient and steadystate performance over the traditional control only on the generators, even when the total control capacity remains the same. This is a joint work with Steven Low.
Biography: Changhong Zhao is a PhD candidate in electrical engineering at California Institute of Technology. His research is focused on dynamics modeling, stability analysis and design of distributed control and optimization schemes for power networks, with applications in frequency and voltage regulations, load-side ancillary services, and demand response. Before coming to Caltech, he received the B.S. degree in automatic control from Tsinghua University, Beijing, China, in 2010.