东北电力技术2023，Vol.44Issue(12)：37-43,7.
基于云边协同的共享储能经济优化调度
Optimized Dispatching of Shared Energy Storage Economics Based on Cloud-Edge Collaboration
刘慕骐 1赵毅 1于惠博 1杨澄宇 1雷蔚充1
作者信息
- 1. 沈阳工程学院电力学院,辽宁 沈阳 110136
- 折叠
摘要
Abstract
Cloud-edge collaboration calculation is a key technology to solve the complex equipment and data collection difficulties of traditional energy industry,and the shared operation mode of energy storage power station is a means to maximize the economic benefits of the energy storage industry.In this context,a park economic optimized dispatching method based on cloud-edge information collabo-ration and energy storage power station sharing is proposed.Firstly,and the concept of cloud marginal collaborative work is intro-duced.The cloud calculation center is defined as the information decision maker in the model,and then the marginal information pro-vider is classified.Through sharing,the collection of power grid,shared energy storage,users and other information,it predicts the user's daily load and combines the grid time-of-use electricity price to help users rationally plan energy use.At the same time,shared energy storage power station as one of the user's power sources,not only help users save electricity costs,but also effectively solve the problem of new energy consumption.At the same time,it can also corresponds to the power network peak load and frequency regula-tion instruction to a certain extent.Finally,three typical industrial users in Shandong Province are used as examples to simulate.It is concluded that users can obtain the most economical energy consumption scheme in the cloud-edge collaboration working mode.The new energy consumption rate in the park increases,and the demand-side response ability to the power grid is enhanced.关键词
云边协同/共享储能/信息共享/新能源消纳Key words
cloud-edge collaboration/shared energy storage/information sharing/new energy consumption分类
动力与电气工程引用本文复制引用
刘慕骐,赵毅,于惠博,杨澄宇,雷蔚充..基于云边协同的共享储能经济优化调度[J].东北电力技术,2023,44(12):37-43,7.
