Feasible Domain Solution for Industrial Park Power Based on Combination of Sampling and OPF

Lingfang Li, Jie Zhang, Yixuan Chen, Cong He and Siyang Liao

GBP Proceedings Series, 2025, vol. 14, 124-132

Abstract: The development of load-side flexible regulation resources has emerged as a pivotal strategy to mitigate the declining source-side regulation capabilities in modern power systems. Among potential contributors, industrial parks-particularly those integrating large-scale electrolytic aluminum production and mineral heat furnace operations-exhibit substantial flexibility potential due to their controllable and high-capacity loads. However, effectively leveraging this potential is hindered by complex high-dimensional nonlinear coupling constraints, which arise from the intricate interactions of network current balance, load dynamics, and source-load characteristics within these parks. Accurately determining the power feasible region under these conditions is therefore a nontrivial challenge. To address this problem, this paper develops a comprehensive power feasible domain model tailored for industrial parks, explicitly incorporating the nonlinear coupling constraints between active and reactive power. A novel ray-emission-based sampling approach is proposed, which systematically explores the P-Q coupling plane by iteratively solving the optimal power flow (OPF) problem along multiple directions. This method efficiently identifies boundary points, enabling a precise and high-fidelity characterization of the feasible power region. The effectiveness and accuracy of the proposed modeling framework and sampling strategy are validated through a detailed case study on a five-node industrial park network. Results demonstrate that the approach not only captures the nonlinear interactions among loads and network constraints but also provides actionable insights for the real-time utilization of load-side flexibility. These findings underscore the potential of industrial park loads as a valuable resource for enhancing system regulation and operational resilience, paving the way for more adaptive and efficient power system management.

Keywords: industrial park; power feasible domain; sampling method; optimal power flow (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:axf:gbppsa:v:14:y:2025:i::p:124-132

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