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计及压缩机运行域的动态最优电-气能流凸化算法

陈飞雄 郑翔昊 邵振国 林勇棋 颜熙颖

中国电机工程学报2024,Vol.44Issue(14):5548-5561,中插9,15.
中国电机工程学报2024,Vol.44Issue(14):5548-5561,中插9,15.DOI:10.13334/j.0258-8013.pcsee.230033

计及压缩机运行域的动态最优电-气能流凸化算法

Convexification Algorithm for Dynamic Optimal Power-gas Flow Considering Compressor Operation Domain

陈飞雄 1郑翔昊 1邵振国 1林勇棋 1颜熙颖1

作者信息

  • 1. 福建省电器智能化工程技术研究中心(福州大学电气工程与自动化学院),福建省 福州市 350108
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摘要

Abstract

The compressor is a key component of the integrated electricity and gas systems.The position of its operational point within the operational domain significantly impacts the safe and stable functioning of the entire system.Meanwhile,its model non-convexity significantly increases the difficulty of solving the optimal power-gas flow.A dynamic optimal power-gas flow convexification algorithm considering the operation domain is proposed based on the accurate compressor modeling and different transmission characteristics of the power and natural gas systems.First,a 3D compressor operation domain model is constructed based on the mapping relationship between the operating parameters and the state variables,and the convex envelope relaxation of the operation domain is realized through the hyperplanes.Then,a dynamic optimal power-gas flow model considering the different transmission characteristics is developed,a mixed integer second-order cone convex reformulation of the model is realized,and a convexification algorithm based on dynamic linearization and tightening convex envelope is proposed.Finally,results demonstrate the effectiveness of the proposed model,indicating that the proposed algorithm outperforms the sequential cone programming algorithm in both computational accuracy and efficiency.

关键词

电-气互联系统/最优电-气能流/压缩机运行域/凸包络/二阶锥松弛

Key words

integrated electricity and gas system/optimal power-gas flow/compressor operation domain/convex envelope/second-order cone relaxation

分类

信息技术与安全科学

引用本文复制引用

陈飞雄,郑翔昊,邵振国,林勇棋,颜熙颖..计及压缩机运行域的动态最优电-气能流凸化算法[J].中国电机工程学报,2024,44(14):5548-5561,中插9,15.

基金项目

国家自然科学基金项目(52107080) (52107080)

福建省自然科学基金项目(2021J05135). Project Supported by National Natural Science Foundation of China(52107080) (2021J05135)

Natural Science Foundation of Fujian Province(2021J05135). (2021J05135)

中国电机工程学报

OA北大核心CSTPCD

0258-8013

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