摘要
新能源汽车的发展带动了锂离子电池产业的成熟,使得移动储能车行业得到迅速发展。考虑将移动储能车参与大功率终端用户调峰辅助服务,并针对移动储能车路径优化与充放电策略展开研究。首先,分析移动储能车运营模式,建立考虑调峰辅助服务的移动储能车优化调度框架;其次,在考虑路径选择、充放电功率限制以及荷电状态(SOC)约束下,在目标模型里计入基于大功率工业用户的DCT计费方式;然后,以移动储能车调峰辅助服务总收益最大为目标,构建移动储能车路径选择与充放电优化模型,并进一步分析DCT计费对用户负荷曲线的影响;最后,以某市实际路网为例,通过算例对比分析验证所提方法的可行性和有效性。
The development of new energy vehicles has driven the maturity of the lithium-ion battery industry,resulting in rapid growth in the mobile energy storage vehicle(MESV)industry.Considering the involvement of mobile energy storage vehicles in peak load shaving and auxiliary services for high-power end-users,research is being conducted on the optimization of MESV paths and charging/discharging strategies.Firstly,the operation mode of MESVs storage is analyzed to establish an optimal scheduling framework for MESVs considering peak load shaving and anxiliary services.Secondly,the billing method based on demand charge tariff(DCT)is included in the target model considering the path selection,charging/discharging power limitation and state of charge(SOC)constraints.Then,with the aim of maximizing the overall revenue of MESVs in peak load shaving and auxiliary services,a model is constructed for optimizing the selection of MESV paths and charging/discharging strategies.Furthermore,the impact of DCT billing on user load curve is analyzed.Finally,taking the actual road network of a city as an example,the feasibility and effectiveness of the proposed method are verified by comparative analysis of the example.
作者
方雨辰
章姝俊
陆海清
赵扉
胡程平
张永熙
FANG Yuchen;ZHANG Shujun;LU Haiqing;ZHAO Fei;HU Chengping;ZHANG Yongxi(School of Electrical&Information Engineering,Changsha University of Science&Technology,Changsha 410114,China;State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310005,China;Electric Power Research Institute,State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310005,China;Jiaxing Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Jiaxing 314050,China)
出处
《电力科学与技术学报》
CAS
CSCD
北大核心
2023年第3期47-53,共7页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(51807011)
湖南省教育厅重点项目(21A0217)。
关键词
移动储能
充放电调度
调峰辅助服务
路径选择
mobile energy storage
charge/discharge scheduling
peak shavingauxiliary service
path selection
