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Paper detail

Deriving AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation

Optimal power flow (OPF) is a very fundamental but vital optimization problem in the power system, which aims at solving a specific objective function (ex.: generator costs) while maintaining the system in the stable and safe operations. In this paper, we adopted the start-of-the-art artificial intelligence (AI) techniques to train an agent aiming at solving the AC OPF problem, where the nonlinear power balance equations are considered. The modified IEEE-14 bus system were utilized to validate the proposed approach. The testing results showed a great potential of adopting AI techniques in the power system operations.

preprint2020arXivOpen access
Yuhao ZhouBei ZhangChunlei XuTu LanRuisheng DiaoDi ShiZhiwei WangWei-Jen Lee
Systems and Controleess.SY
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Yuhao ZhouBei ZhangChunlei XuTu LanRuisheng DiaoDi ShiZhiwei WangWei-Jen Lee

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