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计及市场激励机制的多综合能源系统低碳经济优化调度

陈宇欣 卢锦玲 任惠

电力系统及其自动化学报2026,Vol.38Issue(6):12-25,14.
电力系统及其自动化学报2026,Vol.38Issue(6):12-25,14.DOI:10.19635/j.cnki.csu-epsa.001637

计及市场激励机制的多综合能源系统低碳经济优化调度

Low-carbon Economic Optimal Dispatching of Multiple Integrated Energy Systems Considering Market Incentive Mechanism

陈宇欣 1卢锦玲 1任惠1

作者信息

  • 1. 华北电力大学电气与电子工程学院,保定 071003
  • 折叠

摘要

Abstract

Under the background of the carbon peaking and carbon neutrality strategy,in order to solve the complex problems of energy exchange,income distribution and carbon emission distribution in diversified systems,an optimal dispatching model for multi-park energy mutual assistance and carbon emission distribution is proposed.First,an inte-grated energy system of electricity-hydrogen-gas-heat multi-energy coupling is constructed,which deeply integrates the combined heat and power,carbon capture system and two-stage process of power-to-gas with hydrogen energy utilization and sets up typical urban scenarios for energy mutual assistance.Second,a quantitative model of incentive subsidy and response rate is established for electric vehicle users,and the initiative of vehicle owners to participate in discharge is stimulated by adjusting the subsidy level.Finally,an improved adaptive robust kernel density estimation method is pro-posed to construct a data-driven uncertainty set by dynamically adjusting the smoothing parameters,and a robust opti-mization model for multi-park collaboration is established.The result of an example shows that after the multi-park col-laborative dispatching,the total operating cost and carbon emissions are reduced by 47.85%and 23.01%,respective-ly,which effectively takes into account the low-carbon performance,economy and robustness of the system.

关键词

综合能源系统/激励机制/鲁棒优化/能量互济/低碳经济调度/可再生能源

Key words

integrated energy system/incentive mechanism/robust optimization/energy mutual assistance/low-car-bon economic dispatching/renewable energy

分类

信息技术与安全科学

引用本文复制引用

陈宇欣,卢锦玲,任惠..计及市场激励机制的多综合能源系统低碳经济优化调度[J].电力系统及其自动化学报,2026,38(6):12-25,14.

基金项目

国家重点研发计划资助项目(2024YFE0106900). (2024YFE0106900)

电力系统及其自动化学报

1003-8930

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