王小明,丁津津,赵文广,夏令志,王玺宇
WANG Xiaoming,DING Jinjin,ZHAO Wenguang,XIA Lingzhi,WANG Xiyu

• 1:国网安徽省电力有限公司电力科学研究院
• 2:华北电力大学自动化系
• 3:保定市综合能源系统状态检测与优化调控重点实验室

摘要(Abstract)：

随着高比例风电在IES（综合能源系统）中渗透率的持续提升，负荷侧灵活性资源的调控潜力亟待深入挖掘。因此提出一种结合冰蓄冷空调运行方式和EVs-HVs（电动汽车-氢燃料汽车）集群车网互动的IES低碳优化调度方法。首先，分析了系统各部分的运行机理，构建IES运行框架。接着，采用蒙特卡洛方法模拟EVs-HVs集群无序充电行为，引入激励成本以挖掘车群调节潜力。最后，构建了以总运行成本最小为目标的低碳优化经济调度模型，集成阶梯式碳交易机制，并基于Gurobi进行求解。仿真结果表明，所提系统能够有效消纳风电，显著降低碳排放，合理的冰蓄冷空调运行方式和EVs-HVs集群的协同调度进一步优化了系统经济性。
With the penetration of high-proportion wind power in integrated energy systems(IESs), the potential for scheduling flexibility resources on the demand side needs to be further explored. This paper proposes a low-carbon optimal scheduling method for IESs that incorporates ice-storage air conditioning operation modes and the interaction between electric vehicles(EVs) and hydrogen vehicles(HVs) through vehicle-to-grid(V2G) technology. First, the operational mechanisms of the system components are analyzed, and an IES operational framework is established. The Monte Carlo method is used to simulate the disordered charging behavior of EVs and HVs. Incentive costs are introduced to explore the scheduling potential of vehicle clusters. Finally, a low-carbon economic scheduling model aimed at minimizing total operating costs is constructed, integrating a tiered carbon trading mechanism. The model is solved using Gurobi optimizer. Simulation results show that the proposed system effectively integrates wind power, significantly reduces carbon emissions. The reasonable operation of ice-storage air conditioning and coordinated scheduling of EVs and HVs further improve the economic performance of the system.

关键词(KeyWords)： 冰蓄冷空调;电动汽车;氢燃料汽车;制氨部分;低碳性
ice-storage air conditioning;EV;HV;ammonia production;low carbon

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（62203172）

作者(Author): 王小明,丁津津,赵文广,夏令志,王玺宇
WANG Xiaoming,DING Jinjin,ZHAO Wenguang,XIA Lingzhi,WANG Xiyu

DOI: 10.19585/j.zjdl.202605008

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