1. 国网天津营销服务中心
2. 国网天津市电力公司
3. 河北工业大学人工智能与数据科学学院
4. 国网天津城西供电分公司
纸质出版:2025
移动端阅览
吉杨, 何海航, 穆睿智, 等. 电能共享下考虑电动汽车移动储能特性的综合能源楼宇群日前投标策略[J]. 山东电力技术, 2025,(10):102-112.
吉杨, 何海航, 穆睿智, et al. 电能共享下考虑电动汽车移动储能特性的综合能源楼宇群日前投标策略[J]. 2025, (10): 102-112.
吉杨, 何海航, 穆睿智, 等. 电能共享下考虑电动汽车移动储能特性的综合能源楼宇群日前投标策略[J]. 山东电力技术, 2025,(10):102-112. DOI: 10.20097/j.cnki.issn1007-9904.240513.
吉杨, 何海航, 穆睿智, et al. 电能共享下考虑电动汽车移动储能特性的综合能源楼宇群日前投标策略[J]. 2025, (10): 102-112. DOI: 10.20097/j.cnki.issn1007-9904.240513.
随着现代电力市场的发展,综合能源楼宇也逐渐参与市场。基于电动汽车(electric vehicle
EV)的移动储能特性,提出一种在电能共享下考虑电动汽车移动储能特性的综合能源楼宇群日前投标策略。首先,提出综合能源楼宇群参与日前市场运行机制及运行框架,通过引入代理商作为第三方协调各楼宇内的能量管理并制定楼宇群日前投标策略;其次利用出行链对综合能源楼宇群所属EV进行分群,建立考虑移动储能特性的EV集群模型以及楼宇资源模型;然后,代理商考虑楼宇运行约束以及能量市场收益,以楼宇群运行成本最小为目标建立日前市场投标模型;最后,通过对模型进行求解得出各楼宇运行计划以及楼宇群最佳日前投标策略,并分析EV移动储能特性对日前投标的影响。算例结果表明在电能共享下利用EV的移动储能特性可以有效减少楼宇群在高电价时段的购电投标量,增加该时段的售电投标量,能够使综合能源楼宇群代理商的总运行成本下降13.58%。
With the development of the modern electricity market
integrated energy buildings are also gradually participating in this market.A day-ahead bidding strategy is proposed for integrated energy building clusters
taking into account electric energy sharing via electric vehicles and incorporatingthe thermal storage characteristics of buildings.Firstly
the operation mechanism and framework of the day-ahead market for the integrated energy building group are proposed.Energy management within each building is coordinated by introducing agents as a third party
and a day-ahead bidding strategy for the building group is formulated.Secondly
a model of electric vehicle(EV)clusters is established by utilizing travel chains to cluster EVs belonging to the integrated energy building
taking into account the characteristics of mobile energy storage..Then
combining the analysis of building thermal storage characteristics and resource models
the agent considers the operational constraints of each building and the revenue from the energy market to establish a day-ahead market bidding model. Finally
by solving the model
we provide the operating plan for each building and the optimal day-ahead bidding strategy for the building cluster.
Additionally
we analyze the impact of electric vehicle(EV)energy sharing on day-ahead bidding.The results show that leveraging the mobile energy storage characteristics of EVs under power sharing can effectively reduce the number of power purchase bids in the building group during periods of high electricity prices.Furthermore
it can increase the number of electricity sales bids during these times
which can reduce the total operating cost of the agents of the integrated energy building group by 13.09%.
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