A Multi-Weight Optimization Based Prediction Method for Distributed Generation

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Zhang, Yushu^1 ; Deng, Hua^1 ; Qin, Bing^1 ; Liu, Jingyan^1 ; Zhang, Pu^1 ; Huang, Bi-Bin^2

Beijing Electric Power Economic Research Institute Co., Ltd, Beijing, China^1

State Grid Energy Research Institute Co., LTD, Beijing, China^2

关键词: Historical data;    Impact factor;    Optimization method;    Photovoltaic;    Prediction methods;    Shandong;    Weight optimization;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012059/pdf
DOI  :  10.1088/1757-899X/486/1/012059

来源: IOP

【 摘 要 】

The development of distributed generation will be affected by the policy, and become more market-oriented. The impact factors of the future layout are various. In order to accurately predict the future layout of distributed generation and guide the planning, this paper presents a layout prediction method for distributed generation by multi-weight optimization. The method takes different impact factors into consideration and use the historical data to determine the weights of the factors with optimization method. The method can predict distributed generation layout in the target year accurately. The case of the distributed photovoltaic development in Shandong shows that the central region will become the main development region.