Decomposed Iterative Optimal Power Flow with Automatic Regionalization

• Main Authors: Xinhu Zheng, Dongliang Duan, Liuqing Yang, Haonan Wang
• Format: Article
• Language: English
• Published: MDPI AG 2020-09-01
• Series: Energies
• Subjects: optimal power flow, automatic regionalization, decomposed iterative algorithm
• Online Access: https://www.mdpi.com/1996-1073/13/18/4987

The optimal power flow (OPF) problem plays an important role in power system operation and control. The problem is nonconvex and NP-hard, hence global optimality is not guaranteed and the complexity grows exponentially with the size of the system. Therefore, centralized optimization techniques are not suitable for large-scale systems and an efficient decomposed implementation of OPF is highly demanded. In this paper, we propose a novel and efficient method to decompose the entire system into multiple sub-systems based on automatic regionalization and acquire the OPF solution across sub-systems via a modified MATPOWER solver. The proposed method is implemented in a modified solver and tested on several IEEE Power System Test Cases. The performance is shown to be more appealing compared with the original solver.