Toward Robust Decentralized Linear AC Operation of Cooperative Transmission and Distribution Networks

Abstract

In today's transmission networks (TNs), the sudden failure of some generation units (GUs) from the generation cycle can cause some problems such as imbalance between generation and demand-side (consumption) and thus increase the operation costs of power systems. On the other hand, distributed energy resources (DERs) in distribution networks (DNs) can be a relatively good alternative to the disconnected GUs with their ability to react quickly. Therefore, robust cooperation problem for integrated TN&DN is essential. However, it is hard to solve the cooperation of TN&DN problem without considering the AC optimal power flow (ACOPF), the operators' independence, and the information privacy. On the other hand, the robust cooperation of TN&DN based on ACOPF model is a Mixed-Integer Nonlinear Programming (MINLP), which is impractical to solve with existing solvers. Thus, in this paper, a linearized ACOPF model for robust cooperation of TN&DN problem is presented. Also, an efficient hierarchical decentralized solution method is adopted to solve robust cooperation of integrated TN&DN in which the information privacy is maintained for both network operators. In this paper, the numerical simulations are analyzed for standard an IEEE 30-bus transmission and an IEEE 33-bus distribution networks. Finally, the accuracy and computational efficiency of the proposed robust optimization problem and hierarchical decentralized method is evaluated through simulations.