• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2015, Vol. 36 ›› Issue (10): 129-137.doi: 10.3969/j.issn.1000-7229.2015.10.020

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Evaluation Method of Wind Power Accommodation Capacity Based on Non-Sequential Production Simulation

LI Haibo1, LU Zongxiang1, QIAO Ying1, QI Jun2   

  1. 1. Department of Electrical Engineering and Applied Electronic Technology, Tsinghua University, Beijing 100084, China;2. Inner Mongolia Power Dispatching and Communicating Center, Hohhot 010020, China
  • Online:2015-10-01

Abstract:

 Accurate accommodation evaluation is important for the development planning of wind power. However, it is difficult to obtain the detailed time-sequence data of wind power output during planning stage and the typical evaluation method of time-sequence accommodation is difficult to be applied, so it is necessary to research the evaluation method of accommodation capacity based on the limited wind resource probabilistic characteristic data. This paper proposed a functional minimization model which took maximum wind power accommodation as target based on probability production simulation and a practical evaluation algorithm based on heuristic method. This method only needed the probability distribution information of wind resource and could solve the problem of lacking detailed wind power data during planning stage, which also had a fast computation speed. Based on the actual running data in 2014 and planning data in 2020 of a large wind power base in northern China, the simulation analysis was carried out. The actual wind power accommodation results in 2014 were compared with the simulation results, which could validity the correctness of the proposed method. Finally, according to the planning data in 2020, this paper analyzed the saturation trend of wind power accommodation and installed capacity, and quantitatively studied the promoting effect of flexible measures on wind power accommodation, which could provide some suggestions for wind power planning.

Key words: wind power accommodation, probabilistic production simulation, functional minimization model, limited data source

CLC Number: