黄宇, 吴思橙, 徐璟, 陈江丽, 杨明叶, 谢家乐, 张德利. 计及碳交易的区域综合能源不完全信息博弈优化调度[J]. 华北电力大学学报(自然科学版), 2023, 50(4): 69-80.
引用本文: 黄宇, 吴思橙, 徐璟, 陈江丽, 杨明叶, 谢家乐, 张德利. 计及碳交易的区域综合能源不完全信息博弈优化调度[J]. 华北电力大学学报(自然科学版), 2023, 50(4): 69-80.
HUANG Yu, WU Sicheng, XU Jing, CHEN Jiangli, YANG Mingye, XIE Jiale, ZHANG Deli. Optimal Scheduling of Regional Integrated Energy Systems with Carbon Trading Based on Incomplete Information Game[J]. Journal of North China Electric Power University, 2023, 50(4): 69-80.
Citation: HUANG Yu, WU Sicheng, XU Jing, CHEN Jiangli, YANG Mingye, XIE Jiale, ZHANG Deli. Optimal Scheduling of Regional Integrated Energy Systems with Carbon Trading Based on Incomplete Information Game[J]. Journal of North China Electric Power University, 2023, 50(4): 69-80.

计及碳交易的区域综合能源不完全信息博弈优化调度

Optimal Scheduling of Regional Integrated Energy Systems with Carbon Trading Based on Incomplete Information Game

  • 摘要: 减缓全球变暖,减少二氧化碳的排放已经成为能源部门的一个紧迫问题,在此背景下,区域综合能源系统的优化调度成为实现节能减排目标的重要途经。但是区域综合能源系统内能源集线器(energy hub, EH)间存在复杂的利益交互关系和市场不完全信息,这给系统的运行调控带来巨大的困难和影响,如何实现能源集线器间的制约和平衡成为关键。针对计及碳交易的多能源集线器区域综合能源系统,提出基于不完全信息博弈的优化调度策略。在考虑碳交易的基础上,引入电-气(power to gas, P2G)技术和碳捕集系统(carbon capture systems, CCS)耦合技术,以寻求系统低碳经济双赢。结果表明:所构建的优化调度模型,采用碳交易和碳捕集系统协调配合控碳,在保证系统经济效益的同时,碳排放量也下降了6.4%。

     

    Abstract: Slowing down global warming and reducing carbon dioxide emissions become urgent problems in the energy sector. Therefore, the optimization of regional integrated energy system has become an important way to achieve the goal of energy conservation and emission reduction. However, complex interest interaction and incomplete market information exist among energy hubs in the regional integrated energy system and this brings great difficulties and influences to the operation regulation of the system. To solve this problem, how to realize the restriction and balance among energy hubs becomes the crux of the matter. An optimal scheduling strategy based on incomplete information game was proposed for regional integrated energy system with multi-energy hubs including carbon trading. Considering carbon trading, power to gas(P2G) technology and carbon capture systems(CCS) coupling technology were introduced to seek a win-win situation of low-carbon economy in the system. The results show that the optimal scheduling model constructed in this paper adopts carbon trading and carbon capture system to coordinate and control carbon, making the carbon emissions reduce by 6.4% and ensuring economic benefits as well.

     

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