Research on Power System Cost Model with wind power Based on Simulated Annealing and Genetic Algorithm

摘要：

The power system cost model include wind turbine were studied by using simulated annealing genetic algorithm.The advantages and disadvantages of genetic algorithm were presented.Annealing algorithm was improved using the Simulated Annealing.The power system cost model include a wind turbine was established, and the example case was analyzed by using simulated annealing genetic algorithm.The calculation was elucidated, demonstrating that with the wind power generation cost coefficient decreasing, the increase of wind power generating capacity will reduce the cost of power systems, and the existence of environmental costs of thermal power will be advantage to wind power.

关键词： Simulated annealing Genetic algorithm Wind power Power system cost

作者: Dongxiao Niu Yingying Li Kun Zhou Fang Fang

作者单位: School of Economy and Management,North China Electric Power University,Beijing 102206,China Department of Economics and Management,North China Electric Power University,Baoding,071003,China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Material and Manufacturing Technology(2011第二届材料与制造技术国际会议 ICMMT2011)

会议地点: 厦门

会议语种:英文

页码: 359-363

在线出版日期: 2011-07-08（万方平台首次上网日期，不代表论文的发表时间）