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arXiv · 2306.04350

A Hierarchical OPF Algorithm with Improved Gradient Evaluation in Three-Phase Networks

Heng Liang·Xinyang Zhou·Changhong Zhao
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Abstract

Linear approximation commonly used in solving alternating-current optimal power flow (AC-OPF) simplifies the system models but incurs accumulated voltage errors in large power networks. Such errors will make the primal-dual type gradient algorithms converge to the solutions at which the power networks may be exposed to the risk of voltage violation. In this paper, we improve a recent hierarchical OPF algorithm that rested on primal-dual gradients evaluated with a linearized distribution power flow model. Specifically, we propose a more accurate gradient evaluation method based on a three-phase unbalanced nonlinear distribution power flow model to mitigate the errors arising from model linearization. The resultant gradients feature a blocked structure that enables us to further develop an improved hierarchical primal-dual algorithm to solve the OPF problem. Numerical results on the IEEE $123$-bus test feeder and a $4,518$-node test feeder show that the proposed method can enhance the overall voltage safety while achieving comparable computational efficiency with the linearized algorithm.

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Heng Liang, Xinyang Zhou, Changhong Zhao. 2023-06-07. A Hierarchical OPF Algorithm with Improved Gradient Evaluation in Three-Phase Networks. https://arxiv.org/abs/2306.04350

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