Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities

Shiwei Xie; Zhidong Chen; Yachao Zhang; Shuai Cao; Kaiyue Chen

doi:10.17775/CSEEJPES.2022.05760

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Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities

Regular Papers | 更新时间：2026-10-16

- Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities
- Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第5期页码：2386-2398
- 作者机构：
  
  1. School of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China
  2. Dispatch Control Center, State Grid Corporation of China (SGCC),Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.05760
  中图分类号：
- 纸质出版：2025-09-01
- 稿件说明：
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Shiwei Xie, Zhidong Chen, Yachao Zhang, 等. Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(5):2386-2398.

Shiwei Xie, Zhidong Chen, Yachao Zhang, et al. Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2386-2398.
Shiwei Xie, Zhidong Chen, Yachao Zhang, 等. Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(5):2386-2398. DOI： 10.17775/CSEEJPES.2022.05760.

Shiwei Xie, Zhidong Chen, Yachao Zhang, et al. Decentralized Optimization of Multi-Area Power-Transportation Coupled Systems Based on Variational Inequalities[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2386-2398. DOI： 10.17775/CSEEJPES.2022.05760.

摘要

Abstract

Current urban transport and energy systems are gradually being integrated and developed towards a state of multi-area interconnection. This paper proposes a decentralized optimization approach of multi-area power-transport coupled systems (PTCSs) based on this change. To begin with

models concerning optimal power flow and mixed equilibrium flow are defined to describe flow patterns

respectively. Considering the traffic assignment model is nonlinear and challenging to solve

this paper converts it into an equivalent variational inequality (VI). With this foundation

a decentralized optimization model is proposed

and decoupling strategies are investigated. To solve the problem effectively

an improved algorithm applicable to the decentralized optimization of PTCSs

supported by the VI tool

is proposed. In addition

a rigorous convergence analysis of the proposed algorithm was conducted. Simulations indicate the proposed algorithm solves the problem with good results and can guarantee convergence within a reasonable time frame.

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references

7. IEA. ( 2019, May ). Global EV outlook 2019 [Online ] . Available: https://www.iea.org/reports/global-ev-outlook-2019.

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