A Progressive Polyhedral Approximation Method for Nonlinear PDE-Constrained Electricity-Water Nexus Dispatch

This letter proposes an efficient progressive polyhedral approximation (PA) method to tackle the high nonlinearity and nonconvexity of optimal electricity-water nexus (EWN) dispatch caused by hyperbolic nonlinear partial differential equations (HNPDEs). In this method, the HNPDE-constrained EWN dispatch model can be reformulated into a tractable mixedinteger linear programming (MILP) problem by tailored adaptive discretization and piecewise PA. Furthermore, a progressive approximation refinement technique is developed to dynamically strengthen the MILP for efficient convergence to a near-optimal solution. Comparative studies have validated the effectiveness of the proposed method in reducing decision-making time for the EWN dispatch.

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Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2025-03-22
DOI
https://doi.org/10.1109/tsg.2025.3553737
Citations
7
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
5.11

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article

A Progressive Polyhedral Approximation Method for Nonlinear PDE-Constrained Electricity-Water Nexus Dispatch

Zhihao Hua, Yingping Cao, Bin Zhou, Cong Zhang et al.
7 citations
IEEE Transactions on Smart Grid
Energy Harvesting in Wireless Networks
5.11
article

A Progressive Polyhedral Approximation Method for Nonlinear PDE-Constrained Electricity-Water Nexus Dispatch

Zhihao Hua, Yingping Cao, Bin Zhou, Cong Zhang, Ka Wing Chan, Mingchao Xia, Pengcheng Wang
article en
7 citations

Abstract

This letter proposes an efficient progressive polyhedral approximation (PA) method to tackle the high nonlinearity and nonconvexity of optimal electricity-water nexus (EWN) dispatch caused by hyperbolic nonlinear partial differential equations (HNPDEs). In this method, the HNPDE-constrained EWN dispatch model can be reformulated into a tractable mixedinteger linear programming (MILP) problem by tailored adaptive discretization and piecewise PA. Furthermore, a progressive approximation refinement technique is developed to dynamically strengthen the MILP for efficient convergence to a near-optimal solution. Comparative studies have validated the effectiveness of the proposed method in reducing decision-making time for the EWN dispatch.

IEEE Transactions on Smart GridVol. 16(3)
Hong Kong Polytechnic University (HK), Shenyang University of Technology (CN), Hunan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Energy Harvesting in Wireless Networks
5.11
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A Progressive Polyhedral Approximation Method for Nonlinear PDE-Constrained Electricity-Water Nexus Dispatch — Zhihao Hua, Yingping Cao, et al. · IEEE Transactions on Smart Grid (2025) | TGRS Research Map | TGRS