摘要
考虑电动汽车(electric vehicle)及可再生能源不断并入综合能源系统,导致整个综合能源系统不确定性加大,进而产生能源利用不充分问题,提出含可再生能源与压缩空气储能(compressed air energy storage,CAES)电站的电热综合能源系统调度策略。根据电力负荷需求大小划分为2种调度模式,在能源端与储能端利用CAES与光热电站联合运行方式(solar and compressed air energy storage,S-CAES)增强电网与热网之间的耦合,实现不同能源之间的高效转换与利用;在负荷端将EV负荷按照其可控性分为有序、无序EV负荷,针对不同的模式给出S-CAES不同的运行功能并给出不同的优化调度模型。最后利用Matlab分别在不同负荷模式下进行仿真分析,与传统调度策略进行对比,仿真结果验证了所提策略在增加可再生能源消纳和减小综合成本等方面的有效性和优越性。
Considering the insufficient energy utilization problem caused by the random connection of electric vehicle(EV)loads to the power system with high penetration rate of renewable energy,and the increasing uncertainties of the entire integrated energy system resulting from the interconnection of the electric and heating networks.A dispatching strategy is proposed for the electric and heating integrated energy system including renewable energy and CAES(compressed air energy storage)power stations.According to the power load demand,two dispatching modes are divided.At the energy end and energy storage end,the CAES and S-CAES(solar and compressed air energy storage)are used to enhance the coupling between the power grid and the heating network to achieve the efficient conversion and utilization of different energy sources.At the load end,the EV load is divided into orderly and disorder EV loads according to their controllabilities,and different operating functions are given to the S-CAES according to different modes and different optimal dispatching models are provided.Finally,the Matlab is used to perform simulation analysis under different load modes,The simulation results have verified the effectiveness and superiority of the proposed strategy in increasing renewable energy consumption and reducing overall costs.
作者
胡福年
徐伟成
陈军
HU Funian;XU Weicheng;CHEN Jun(Jiangsu Normal University,Xuzhou 221116,China)
出处
《中国电力》
CSCD
北大核心
2022年第11期129-141,共13页
Electric Power
基金
国家自然科学基金资助项目(61773186)
江苏师范大学研究生科研与实践创新计划(2020XKT080)。
关键词
可再生能源
热电综合能源系统
综合成本
CAES
调度策略
renewable energy
electric and heating integrated energy system
overall cost
CAES
dispatching strategy
