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计及电转气-风-火-核-碳捕集的多源联合系统优化调度

晁文浩 袁至 李骥

中国电力2024,Vol.57Issue(1):183-194,12.
中国电力2024,Vol.57Issue(1):183-194,12.DOI:10.11930/j.issn.1004-9649.202306048

计及电转气-风-火-核-碳捕集的多源联合系统优化调度

Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units

晁文浩 1袁至 1李骥2

作者信息

  • 1. 新疆大学可再生能源发电与并网控制教育部工程研究中心,新疆乌鲁木齐 830017
  • 2. 国网新疆电力有限公司电力科学研究院,新疆乌鲁木齐 830011
  • 折叠

摘要

Abstract

In power systems consisted of wind power generation(WPG),thermal,nuclear,carbon capture units,the peak shaving depth could be inaccurately selected when nuclear power units participate in peak regulation.In addition,the excessive wind power curtailment could also be an issue.In this paper,a linearized peaking depth model for nuclear units is proposed considering their co-operation with power-to-gas(P2G),WPG,thermal,and carbon capture units.First,based on the load tracking mode of nuclear power units,the accuracy of peak shaving depth selection could be improved by adding continuous variables.Secondly,the joint operation mode of the carbon capture power plant-P2G and demand response resources could facilitate the accommodation of WPG.Finally,the minimization of system comprehensive operation costs is selected as the overall objective function.At the same time,the carbon trading mechanism is considered to build the simulation model on the Matlab platform to verify the effectiveness of the proposed model.The results show that compared with the multi-source combination system of fixed peak-module gears,the proposed multi-source combined system operation mode can ensure the safe and stable operation of the nuclear power unit while achieving WPG utilization.The carbon emissions and comprehensive operating costs have decreased by 13.74%and 6.27%,respectively,which improves the low-carbon and economics of system operation.

关键词

核电机组/风电消纳/碳捕集/电转气/优化调度

Key words

nuclear power unit/wind power accommodation/carbon capture/power to gas/optimal dispatch

引用本文复制引用

晁文浩,袁至,李骥..计及电转气-风-火-核-碳捕集的多源联合系统优化调度[J].中国电力,2024,57(1):183-194,12.

基金项目

新疆维吾尔自治区重点实验室开放课题(2022D04081) (2022D04081)

国家自然科学基金资助项目(52067020).This work is supported by Open Project of Key Laboratory of Xinjiang Uygur Autonomous Region(No.2022D04081)and National Natural Science Foundation of China(No.52067020). (52067020)

中国电力

OA北大核心CSTPCD

1004-9649

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