考虑5G通信和共享储能的产消者实时调控优化策略

随着分布式可再生能源高比例接入电网，产消者逐渐成为需求侧协调优化的重要角色，同时海量资源的响应时延问题在需求侧实时调控中也愈加明显。为此，结合5G技术赋能，提出一种考虑5G通信和共享储能的产消者实时调控优化策略。首先，构建了基于5G云边端协同的产消者实时调控架构；然后，从传输时延和计算时延两方面构建了基于5G的调控业务时延模型；在此基础上，建立了考虑时延补偿和能量-容量共享储能服务的实时运行优化模型，其中上层目标函数为聚合商的收益最大，下层目标函数为产消者的总运行成本最小。最后，仿真结果表明，所提策略可有效降低时延导致的负荷偏差，提升新能源消纳能力，同时可提高聚合商运营收益、降低产消者用能成本，实现需求侧资源快速精准调控。

Real-time regulation and optimization strategy of prosumers considering 5G communication and shared energy storage

As a high proportion of distributed renewable energy is connected to the power grid, prosumers gradually become an important role in demand-side coordination and optimization. Meanwhile, the problem of response delay of massive resources becomes more obvious in demand-side real-time regulation. Therefore, combined with 5G technology enabling, a real-time regulation and optimization strategy is proposed for prosumers considering 5G communication and shared energy storage. Firstly, the real-time regulation architecture of prosumers based on 5G cloud-edge collaboration is designed. Secondly, the regulation service delay model based on 5G is constructed from two aspects of transmission delay and calculation delay. Then, a real-time operation optimization model considering delay compensation and energy-capacity sharing storage service is established, where the upper objective function is to maximize the revenue of the edge layer aggregator, and the lower objective function is to minimize the total operating cost of all prosumers in the end layer；Finally, simulation results show that the proposed strategy can effectively reduce load deviation caused by delay, improve the new energy consumption capacity, and improve the operational revenue of aggregators, reduce energy consumption costs of prosumers, achieving rapid and precise regulation of demand side resources.