Distributed Algorithm for Time-varying Optimal Power Flow
Future power system applications may require real-time optimization of a large network of distributed energy resources. This has motivated recent development of online algorithms for solving time-varying optimal power flow problems. We have proposed a centralized quasi-Newton algorithm and have derived theoretical guarantees for its tracking performance. In this paper we show how this algorithm can be implemented in a distributed manner by a network of controllable energy resources coordinated by an operator. The proposed distributed implementation now can handle general convex quadratic constraints on power injections, and only requires minimal communication between the operator and local controllers. Simulation shows that the proposed distributed implementation has good performance.
© 2017 IEEE. Date Added to IEEE Xplore: 23 January 2018. This work was supported by NSF through grants CCF 1637598, ECCS 1619352 and CNS 1545096, ARPA-E through grant DE-AR0000699 and the GRID DATA program, and DTRA through grant HDTRA 1-15-1-0003.