The research on spatial load forecasting model and method of electricity energy alternative based on cloud theory in distribution network

2017 3rd International Conference on Energy, Environment and Materials Science

能源学;生态环境科学;材料科学

Zhou, Honglian^1 ; Li, Juan^1 ; Hu, Zhiyun^1 ; Li, Qingbo^1 ; Liu, Zifa^2 ; Wang, Wei^3

Economic Research Institute, State Grid Xinjiang Electric Power Company, Urumqi, Xinjiang Uygur Autonomous Region

830011, China^1

School of Electrical and Electronic Engineering, North China Electric Power University, Changping District, Beijing

102206, China^2

School of Machine and Electric Engineering, Shandong Science and Technology University, Taian, Shandong Province

271019, China^3

关键词: Alternative energy;    Benefit analysis;    Cloud theory;    Electrical energy;    Historical data;    Load forecasting;    Spatial load forecasting;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/94/1/012096/pdf
DOI  :  10.1088/1755-1315/94/1/012096

来源: IOP

【 摘 要 】

The research on electrical energy alternative mainly focus on alternative energy potential, expanding strategy and benefit analysis due to lack of historical data. This paper presents the total spatial load forecasting model in distribution network based on the proposed electrical energy alternative development coefficient which is generated by electricity energy objective issued by governments. To deal with fuzzy and uncertain in load forecasting for electric boiler and heater, the cloud theory and the regularity in the process of electrical energy alternative popularization are used. The component of electrical alternative spatial load forecasting is presented in sequence. The proposed method is verified in a typical case.