Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Universal generating function based probabilistic production simulation for wind power integrated power systems
Author:
Affiliation:

1. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Fund Project:

National High Technology Research and Development Program of China (863 Program) (No. 2012AA050208) and the Program of the National Natural Science Foundation of China (No. 51177043).

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    Abstract:

    According to the demand of sustainable development and low-carbon electricity, it is important to develop clean resources and optimize scheduling generation mix. Firstly, a novel method for probabilistic production simulation for wind power integrated power systems is proposed based on universal generating function (UGF), which completes the production simulation with the chronological wind power and load demand. Secondly, multiple-period multiple-state wind power model and multiple-state thermal unit power model are adopted, and both thermal power and wind power are coordinately scheduled by the comprehensive cost including economic cost and environmental cost. Furthermore, the accommodation and curtailment of wind power is synergistically considered according to the available regulation capability of conventional generators in operation. Finally, the proposed method is verified and compared with conventional convolution method in the improved IEEE-RTS 79 system.

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History
  • Received:
  • Revised:
  • Adopted:
  • Online: January 09,2017
  • Published: