共享模式下园区用户侧广义储能低碳经济调度策略

Low carbon economic scheduling strategy of GES at the user side of the park under the sharing mode

中文关键词: 广义储能  经济调度  低碳园区  共享经济  自适应粒子群优化算法

英文关键词: generalized energy storage  economic dispatch  low carbon park  sharing economy  A-PSO

中文摘要:

      在“双碳”目标的驱动下，储能有潜力成为新能源消纳与节能减排的重要载体。首先，通过对园区多用户多类型储能资源的集中管理与协同优化，搭建了由常规储能以及电动汽车、灵活性负荷等虚拟储能组成的广义储能资源网络化运营平台架构。其次，借鉴共享理念，从经济和碳排放2个角度出发建立了园区用户侧广义储能共享与协同调度模型，并采用自适应粒子群优化算法对其进行求解。最后，以某园区为例验证了所提共享模式及响应策略能够有效提升广义储能资源的利用率，实现园区用户用能的经济性和低碳性。

英文摘要:

      Driven by the“double carbon”goal, energy storage has the potential to become an important carrier for new energy consumption, energy conservation and emission reduction. Firstly,through the centralized management and collaborative optimization of multi-user and multi-type energy storage resources in the park, a GES resource network operation platform architecture composed of conventional energy storage and virtual energy storage such as electric vehicles and flexible loads is built. Secondly, based on the concept of sharing, a GES sharing and collaborative scheduling model on the user side of the park is established from the perspectives of economy and carbon emission, which is solved by A- PSO algorithm. Finally, taking a park as an example, it is verified that the proposed sharing mode and response strategy can effectively improve the utilization of GES resources and realize the economy and low-carbon of energy consumption of park users.