• HUANG Xinying ^1,2

  HUANG Xinying

  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; State Grid zhejiang Economic Research Institute, Hangzhou 310008, China
  在知网中查找
  在百度中查找
  在本站中查找
  
• LI Jian ³

  LI Jian

  China Guodian Corporation Yunnan Branch, Kunming 650214, China
  在知网中查找
  在百度中查找
  在本站中查找
  
• YANG Li ¹

  YANG Li

  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
  在知网中查找
  在百度中查找
  在本站中查找
  
• JIANG Jie ⁴

  JIANG Jie

  Jiangshan Power Supply Company of State Grid Zhejiang Electric Power Company, Jiangshan 324199, China)
  在知网中查找
  在百度中查找
  在本站中查找
  
• FENG Changsen ¹

  FENG Changsen

  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
  在知网中查找
  在百度中查找
  在本站中查找
  

(1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 2. State Grid zhejiang Economic Research Institute, Hangzhou 310008, China; 3. China Guodian Corporation Yunnan Branch, Kunming 650214, China; 4. Jiangshan Power Supply Company of State Grid Zhejiang Electric Power Company, Jiangshan 324199, China)

Output uncertainties of renewable energy distributed generators lead to profit fluctuation of a virtual power plant. Take a wind/photovoltaic/hydropower distributed power generation demonstration project in Yunnan Province as an example. Based on the basic concept of the portfolio, it is proposed to have the output uncertainty of a virtual power plant mapped onto the price uncertainty. On the basis of a single period capacity allocation model, another two models are developed considering the penalty for output deviation and multi-period capacity allocation, respectively. Numerical examples show that the proposed model is effective in quantitatively analyzing the allocation problem by considering the complementary role among multi renewable energy distributed generators, the electricity prices, the reserve price, and risk preference. This work is supported by National High Technology Research and Development Program of China (863 Program) (No. 2012AA050204).

renewable energy generation; virtual power plant; uncertainty; capacity allocation; investment portfolio