刘晓鸥, 李伟, 黄晶晶, 杨建成. 考虑能源低碳化的分区域虚拟电厂综合优化调度策略[J]. 电力勘测设计, 2024, (8): 21-28. DOI: 10.13500/j.dlkcsj.issn1671-9913.2024.08.004
引用本文: 刘晓鸥, 李伟, 黄晶晶, 杨建成. 考虑能源低碳化的分区域虚拟电厂综合优化调度策略[J]. 电力勘测设计, 2024, (8): 21-28. DOI: 10.13500/j.dlkcsj.issn1671-9913.2024.08.004
LIU Xiao-ou, LI Wei, HUANG Jing-jing, YANG Jian-cheng. A Comprehensive Optimal Dispatching Strategy for Multi-Regional Virtual Power Plants Considering Energy Low Carbonization[J]. Electric Power Survey & Design, 2024, (8): 21-28. DOI: 10.13500/j.dlkcsj.issn1671-9913.2024.08.004
Citation: LIU Xiao-ou, LI Wei, HUANG Jing-jing, YANG Jian-cheng. A Comprehensive Optimal Dispatching Strategy for Multi-Regional Virtual Power Plants Considering Energy Low Carbonization[J]. Electric Power Survey & Design, 2024, (8): 21-28. DOI: 10.13500/j.dlkcsj.issn1671-9913.2024.08.004

考虑能源低碳化的分区域虚拟电厂综合优化调度策略

A Comprehensive Optimal Dispatching Strategy for Multi-Regional Virtual Power Plants Considering Energy Low Carbonization

  • 摘要: 为实现虚拟电厂内多个分布式能源系统的优化协同调度,本文提出考虑能源低碳化的分区域虚拟电厂综合优化调度策略。首先,搭建多区域虚拟电厂结构图,可通过各综合能源系统的互联互通实现区域间的电能互补。然后,搭建P2G复合系统模型,通过聚合碳捕集电厂、电制气、粪污处理、热电联产机组和燃气锅炉实现联合运行,提升可再生能源的消纳能力,以达到运行效益最大化的目标。针对复合微分进化算法的不足,提出改进措施以求解高维非线性目标函数模型。最后,通过算例仿真验证了本文方法的有效性。本文所提方法可实现多区域间的电能和热能协同优化调度,提升可再生能源消纳能力,改善虚拟电厂运行效益和碳排放量。

     

    Abstract: To achieve the optimize scheduling of multiple distributed energy systems within a virtual power plant,this paper proposes a comprehensive optimal dispatching strategy for multi-regional virtual power plants considering energy low carbonization. Firstly, a structure diagram of multi-regional within virtual power plant was constructed,which can achieve energy complementation between regions through the interaction among various integrated energy systems. Then, a power to gas(P2G) composite system was built, which consist of polymerize carbon capture power plant(CCPP), P2G, fecal sewage treatment, cogeneration unit and gas boiler. It can help to enhance the renewable energy accommodation capacity and achieve the goal of maximizing operational efficiency. Aiming at the shortcomings of composite differential evolution algorithm, improvement measures are proposed to solve high-dimensional nonlinear objective function model. Finally, example analysis verifies that the method proposed in this paper can achieve the optimize scheduling of electricity and heat energy among multiple regions, enhance the renewable energy accommodation capacity, and improve the operational efficiency and carbon emissions of virtual power plant.

     

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