摘要
为了解决常规模型用电功率供需不平衡的问题,提出基于健康度分析的电网数字化转型价值链云协同模型.将发电作为价值链起始节点,并分解表示发电功率历史数据的电网信号.通过引入时间尺度特征,预测电网发电.计算价值链发电、储能、用电环节各利益主体的健康度,选择最高健康度的利益主体,通过公有云和私有云建立利益主体云协同模型,以此完成电网数字化的转型.实验结果表明,设计模型相比常规模型,预测的电网发电功率更为接近园区实际用电功率,实现了电网发电供需平衡,且减少了电力资源浪费.
In order to solve the imbalance between power supply and demand in conventional models,a cloud collaboration model of power grid digitalized transformation value chain based on health degree analysis was proposed.The generation was regarded as the starting node of the value chain,and the grid signals representing the historical data of generation power were decomposed.By introducing time scale characteristics,power generation was predicted.The health degree of various interest-subjects in the value chain linking power generation,energy storage and power consumption was calculated,the interest-subject with the highest health degree was selected,and the interest-subject cloud collaboration model through public cloud and private cloud was established,so as to complete the digitalized transformation of power grid.The experimental results show that the predicted grid power is much closer to the actual power consumption in the park than the conventional model and can realize the balance between supply and demand of grid power generation and reduce the waste of power resources.
作者
陈禹旭
CHEN Yu-xu(School of Computer Science,Harbin Institute of Technology,Harbin 150001,China;Shared Services Division,China Southern Power Grid Digital Power Grid Research Institute Co.Ltd.,Guangzhou 510000,China)
出处
《沈阳工业大学学报》
CAS
北大核心
2022年第1期1-6,共6页
Journal of Shenyang University of Technology
基金
国家重点研发计划项目(2020YFB0906000,2020YFB0906004).
关键词
健康度
发电功率预测
价值链
云协同模型
利益主体
电网数字化
电网信号
分布式电网
health degree
generated power forecast
value chain
cloud collaboration model
interest-subject
power grid digitalization
power grid signal
distributed power grid
