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.
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