机场服务区光储配置和电能管理双层规划模型  

Two-layer planning model for photovoltaic and energy storage configuration and power management in airport service areas

作　　者：丁双宁 卢小龙 孙志云 韦启珍 陈贺伟 唐远程 李俊宇 DING Shuangning;LU Xiaolong;SUN Zhiyun;WEI Qizhen;CHEN Hewei;TANG Yuancheng;LI Junyu(Hunan Airport Management Group Co.,Ltd.,Changsha 410100,China;Hunan Electric Power Design Institute Co.,Ltd.,China Energy Construction Group,Changsha 410007,China)

机构地区：[1]湖南省机场管理集团有限公司,湖南长沙410100 [2]中国能源建设集团湖南省电力设计院有限公司,湖南长沙410007

出　　处：《电力科学与技术学报》2024年第4期222-233,共12页Journal of Electric Power Science And Technology

基　　金：中国电力工程顾问集团有限公司重大科技专项(DG4-A032022)。

摘　　要：电动汽车的兴起增加了机场服务区内的用电负荷。为此,利用机场周边发展光伏与储能,结合电动汽车停放期间充电特点,建立电动汽车参与价格型需求响应、服务区光储容量配置的双层优化模型。上层模型为光伏与储能设备容量优化配置,以光储配置成本最小为目标;下层模型中提出考虑分时电价与电动汽车停放中不同充电需求的服务区电能优化管理策略,同时,建立电动汽车负荷随机模型与价格型需求响应模型,以充电效益、光储效益最大为目标,建立典型日优化控制模型并优化电动汽车负荷曲线、服务区内储能控制。仿真中考虑光伏出力与充电负荷随机性,通过蒙特卡罗方法消除其对结果的影响,并且分析需求响应不确定性对优化结果的影响。结果表明:考虑分时电价与电动汽车充电效益的光储系统优化配置可节省一次投资费用,利用分时电价政策的充电和光储优化控制可获取更好的经济效益。因此,合理的系统配置与场地利用、充电管理和光储控制,是提高能源利用和经济效益的有效途径。The rise of electric vehicles has increased the electrical load in airport service areas.Therefore,by utilizing the development of photovoltaic and energy storage around the airport,combined with the charging characteristics of electric vehicles during parking,a two-layer optimization model for electric vehicles to participate in the price-based demand response and the capacity configuration of photovoltaic and energy storage in service areas is established.The upper model is optimized for the capacity configuration of photovoltaic and energy storage equipment,with the goal of minimizing the configuration cost of photovoltaic and energy storage;the lower model proposes a power optimization management strategy for service areas that considers time-of-use tariff and different charging demands during electric vehicle parking.Simultaneously,a load stochastic model of electric vehicles and a price-based demand response model are established,with the goal of maximizing the benefits of charging,photovoltaic and energy storage,a typical daily optimization control model is established,and the load curve of electric vehicles and the control of energy storage in service areas are optimized.In the simulation,the randomness of photovoltaic output and charging load is considered,and the Monte Carlo method is used to eliminate its impact on the results,and the impact of demand response uncertainty on the optimization results is analyzed.The results show that optimizing the configuration of photovoltaic and energy storage systems considering time-of-use tariff and the charging benefits of electric vehicles can save one-time investment costs,and utilizing the time-of-use electricity pricing policies for charging and the optimization control of photovoltaic and energy storage can achieve better economic benefits.Therefore,reasonable system configuration,site utilization,charging management,and photovoltaic and energy storage control are effective ways to improve energy utilization and economic benefits.

关 键 词：电动汽车 光储容量配置 机场服务区 需求响应 分时电价 电能优化管理 双层规划 

分 类 号：TM732[电气工程—电力系统及自动化]