New energy generation forecasting and dispatching method based on big data

Energy Reports

Haiqian Zhang¹  Hailang Chen² 

[1] School of EIE Heyuan Polytechnic Heyuan, Guangdong 517000, China;Corresponding author.;

关键词: Neural networks;    Power system;    New energy;    Dispatching;   

DOI  :  

来源: DOAJ

【 摘 要 】

In order to realize the optimal and reasonable distribution of the load of the power system and improve the ability of the power system to consume new energy generation, this paper analyzes the operation big data of photovoltaic power plants, wind farms and thermal power units with the example of a region. Based on this, a predictive scheduling method of new energy generation based on big data is proposed. By constructing a model of new energy output and power load, the method is able to predict the dispatch value of wind power, PV and power load. Finally, through the simulation analysis, the results show that the proposed method can deeply tap the demand response potential of the integrated energy system, provide strong data support for the formulation of a reasonable integrated demand response scheme, and has strong practical application value.

【 授权许可】

Unknown