考虑竞争偏好的数据中心-电动汽车用能联合优化策略

Joint Optimization Strategy for Energy Consumption of Data Center and Electric Vehicles Considering Competitive Preference

利用现场可再生能源有利于数据中心降低用能成本、减少碳排放,但可再生能源出力的间歇性会导致部分现场可再生能源无法得到有效的利用。因此,利用数据中心负载的可调节特性,设计了数据中心运营商与电动汽车运营商可再生能源联合消纳机制,从而达到完成剩余可再生能源的利用。充分考虑多元主体竞争偏好行为,基于Stackelberg博弈理论,建立了由能源服务商代售的单一模型和直接售电与能源服务商代售结合的多重模型。根据电动汽车充电站日充电负荷的需求和2种模式优势对比,最终提出一种考虑竞争偏好的数据中心-电动汽车用能联合优化策略,并进行仿真与分析,结果表明所采用的优化策略具有较好的经济收益。

The use of on-site renewable energy is beneficial to the data center to reduce energy costs and carbon emissions, but the intermittent output of renewable energy will lead to the ineffective use of some on-site renewable energy. According to the adjustable characteristics of data center load, this paper designs a joint renewable energy consumption mechanism between data center operators and electric vehicle operators, so as to achieve the utilization of residual renewable energy. According to Stackelberg game theory, this paper fully considers the competitive preference behavior of multiple subjects, and establishes a single model of energy service providers’ consignment and a multiple model that considers the combination of direct electricity sales and energy service providers’ consignment. According to the demand of daily charging load of electric vehicle charging station and the comparison of advantages of the two modes, a joint optimization strategy for energy consumption of data center and electric vehicles considering competitive preference is finally proposed. Simulation and analysis results show that the optimization strategy adopted in this paper has good economic benefits.