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基于降维投影的氢-电综合能源系统最优潮流

彭弘毅 晏鸣宇 周奕佳

电力系统自动化2025,Vol.49Issue(7):169-178,10.
电力系统自动化2025,Vol.49Issue(7):169-178,10.DOI:10.7500/AEPS20240828005

基于降维投影的氢-电综合能源系统最优潮流

Optimal Power Flow of Integrated Hydrogen-Electricity Energy System Based on Reduced-dimension Projection

彭弘毅 1晏鸣宇 1周奕佳1

作者信息

  • 1. 强电磁技术全国重点实验室(华中科技大学),湖北省 武汉市 430074
  • 折叠

摘要

Abstract

An optimal power flow calculation method based on the reduced-dimension projection is proposed to solve the problem of optimal power flow in the integrated hydrogen-electricity energy system considering the uncertainty of wind power.Firstly,the centralized operation model of an integrated hydrogen-electricity energy system considering the uncertainty of wind power is established and equivalently transformed into a deterministic model.Then,the deterministic model is decomposed into subproblems for each subsystem.The reduced-dimension projection method is used to project the operation space of each subproblem into a lower-dimensional space,and the projected operation spaces of each subproblem are reconstrcted into a new convex hull.Next,by solving the optimal problem under the constraints of the reconstructed convex hull,the values of the common variables under the optimal cost of the integrated hydrogen-electricity energy system can be obtained.Furthermore,using the values of the common variables under the optimal cost to solve each subproblem,the power flow of each subsystem under the optimal cost can be obtained.This method conceals private information during the solution process and avoids iteration.Finally,the proposed method is tested on 6-6-node and 40-118-node integrated hydrogen-electricity energy systems,and the effectiveness,optimality,privacy protection,and other advantages of the proposed method are verified.

关键词

降维投影//综合能源系统/最优潮流/不确定性/分布式优化

Key words

reduced-dimension projection/hydrogen/integrated energy system/optimal power flow/uncertainty/decentralized optimization

引用本文复制引用

彭弘毅,晏鸣宇,周奕佳..基于降维投影的氢-电综合能源系统最优潮流[J].电力系统自动化,2025,49(7):169-178,10.

基金项目

国家重点研发计划资助项目(2023YFB4005601). This work is supported by National Key R&D Program of China(No.2023YFB4005601). (2023YFB4005601)

电力系统自动化

OA北大核心

1000-1026

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