摘要
智慧园区内工厂流水车间和电动汽车充电站是重要的能源消费实体,在配电网中充分利用前者的运行特性和后者的储能特性对两者进行协同优化调度,可以实现系统运行灵活性和运行效率的提升。首先,考虑了包含碳排放的智慧园区配电网中流水车间和电动汽车充电站之间的电能交互,并提出针对流水车间和电动汽车充电站的协同优化问题,以降低系统的运行成本和碳排放量。然后,根据决策者的风险偏好,基于信息间隙决策理论,分别提出风险追求调度模型和风险规避调度模型,相应优化问题的求解结果可为决策者提供调度方案。最后,基于一个包含流水车间和电动汽车充电站组成的智慧园区配电网交互系统进行算例分析,验证了所提模型在降低系统运行成本和碳排放量方面的有效性。
Factory flow workshop and charging stations are important energy consumption entities in smart park.The coordinated scheduling of them will help to make full use of the operation characteristic of the flow workshop and the storage characteristic of electric vehicles,can realize the improvement of operation flexibility and efficiency of the flow workshop and charging station.Firstly,this paper considers electricity interactions between a flow workshop and a charging station in the distribution network,and proposes a coordinated optimization problem between the flow workshop and charging station to reduce the operation cost and carbon emission of the system.According to the risk preferences of decision makers,based on the information gap decision theory(IGDT),a risk-seeking scheduling model and a risk-averse scheduling model are proposed respectively.The solution results of the corresponding optimization problems can provide scheduling results for decision makers.Finally,the effectiveness of the proposed model in reducing operation cost and carbon emissions of the system is verified by conducting case studies based on an interaction system consisting of a smart park with flow workshop and a charging station.
作者
周华锋
胡荣
聂涌泉
李金
马光
黄俊聪
左嘉志
ZHOU Huafeng;HU Rong;NIE Yongquan;LI Jin;MA Guang;HUANG Juncong;ZUO Jiazhi(Power Dispatch and Control Center,China Southern Power Grid Co.,Ltd.,Guangzhou 510670,China;China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.,Guangzhou 510663,China)
出处
《供用电》
2023年第10期73-80,共8页
Distribution & Utilization
基金
中国南方电网有限责任公司科技项目(000000KK52200035)。
关键词
碳排放
智慧园区
协同调度
电动汽车充电站
信息间隙决策理论
电能交互
carbon emission
smart park
cooperative scheduling
electric vehicle charging station
information gap decision theory
electricity interaction
