Optimal Control of 5G Base Station Virtual Power Plant Based on Customer Directrix Load
李进鑫 1张沛超 2赵建立 3范帅 2何光宇2
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作者信息
1. 上海电力大学电气工程学院,上海市 杨浦区 200090
2. 电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市闵行区 200240
3. 国网上海市电力公司,上海市浦东新区 200122
折叠
摘要
在新型电力系统中,亟待深度挖掘需求侧资源以提升系统灵活性和新能源消纳能力.在"新基建"背景下,5G基站作为一种新型需求侧资源正迅速发展.研究如何在保证基站备用需求的前提下,由铁塔公司组建含大规模5G基站的虚拟电厂(virtual power plant,VPP)并常态化参与需求响应.首先,提出了考虑储能动态备用容量的5G基站运行可行域构建方法,建立了 5G基站VPP的聚合模型.然后,建立了 5G基站VPP响应负荷准线的日前优化模型,提出了适合对大规模5G基站进行协调控制的日内解聚合方法.最后,建立了含高比例新能源的区域电网仿真算例.仿真结果表明,聚合大规模基站参与准线型需求响应,可以显著降低5G基站的运行成本,同时提高电网的新能源消纳能力.
Abstract
In the new power system dominated by renewable energies,there is an urgent need to deeply explore the demand response(DR)resources to enhance the system flexibility and the capacity to integrate renewable energies.Under the context of"new infrastructure",5G base stations are rapidly evolving as a new type of DR resource.This paper investigates how to establish a Virtual Power Plant(VPP)consisting of a large scale of 5G base stations,while ensuring the backup requirements of the base stations,and normalizing their participation in the DR.Firstly,a method is proposed to construct the operational feasible domain of 5G base stations considering the dynamic backup capacity of energy storage,establishing an aggregation model for the 5G base station VPP.Then,an optimization model is developed for the day-ahead response of the 5G base station VPP to customer directrix load(CDL),while a disaggregation method suitable for coordinating and controlling a large scale of 5G base stations is put forward for intraday purposes.Finally,simulation examples of a regional grid with a high proportion of renewable energies are built.The results demonstrate that aggregating a large scale of base stations for CDL-based DR can not only reduce the operational costs of the 5G base stations but also enhance the capability of the power grid to accommodate renewable energies.
关键词
新能源消纳/5G基站/备用储能/虚拟电厂/需求响应/负荷准线/协调控制
Key words
new energy consumption/5G base station/backup energy storage/virtual power plant/demand response/customer directrix load/coordinated control