Multi-Stage Quadratic Flexible Optimal Power Flow With a Rolling Horizon

• Published in: IEEE transactions on smart grid Vol. 12; no. 4; pp. 3128 - 3137
• Main Authors: Zhong, Chiyang, Meliopoulos, A. P. Sakis, Xie, Boqi, Xie, Jiahao, Liu, Kaiyu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Distributed energy resources; Distributed generation; Electric power grids; Energy sources; Feedback control; forecasts; Load flow; Mathematical model; multi-stage optimal power flow; Object oriented modeling; Optimization; Power flow; Power systems; Predictive models; Real time; Real-time systems; rolling horizon; sequential linear programming
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2021.3059255

Optimal power flow (OPF) has always played an important role in optimizing the operation of power systems, which are complex and highly nonlinear networks. The need for optimization is even more pressing in modern power grids with distributed energy resources (DERs, with or without storage) that introduce more flexibility, dynamics, and uncertainties to power grids. Most importantly, they add the time dimension to the optimization process: DERs generate the need to optimize systems in real time over a time horizon considering forecasts. This article proposes a multi-stage OPF formulation and solution method based on object-oriented device models with a rolling horizon incorporated for real-time optimizations to achieve optimal feedback control. The process also takes into account changing forecasts. The proposed approach is tested on a real distribution feeder and the results indicate that the method is very promising.