Multi-Period Integrated Transmission and Distribution Optimal Power Flow Simulation Using Linear Decision Approach

Utilities have a main objective of operating the grid in the most efficient manner, optimal power flow simulations are performed to achieve this objective. The simulations are computed for defined time intervals, such as a day-ahead (DA) or real-time (RT) for the grid to operate efficiently and economically. The dynamic nature of increasing distributed energy resources interconnected to networks can cause sudden variations that might not be captured in either DA or RT solutions. Even though most of these dynamically changing resources are operating in the distribution network (DN), the impacts can be seen in the transmission network (TN). This has led to the recent interest in studies involving integrated T&D models, to help utilities coordinate both networks properly. In this paper, we further extended the scope of our previously developed stochastic optimization algorithm to address the uncertainties with integrated T&D models to a time-receding horizon. A linear decision rule (LDR) technique was utilized offering the integrated system the capability operate optimally when sudden and unplanned changes occur due to distributed generation. The proposed methodology is deployed in a multiperiod optimal flow solution with time-varying parameters and tested on two different IEEE integrated T&D networks, IEEE 9 & 13 bus, and IEEE 57 & 34 bus, Our approach showed substantial improvement when compared to the state-of-the-art technique currently been used for integrated T&D networks.