摘要
风电作为可再生能源,具有波动性、间歇性和随机性的特点,容易造成电力系统的不稳定。通过对风电功率进行预测,不仅可以保证电能质量,而且可以降低电力系统运行成本。传统的几种风电功率预测技术均存在一定的局限性。针对上述问题,提出一种基于思维进化算法的风电功率预测方法,并构建了预测模型。结合风电场风电实测数据进行仿真分析,结果表明所提出的方法可以有效可靠地进行风电功率预测,具有良好的工程应用前景。
Due to the characteristics of volatility, intermittent and randomness of wind power, interconnection with the power grid will bring about impact on the stability of power system. The wind power prediction can not only ensure the quality of electric energy, but also reduce the cost o~ power system operation. There were some limitations in several traditional wind power prediction methods. According to the above problem, the wind power prediction method based on Mind Evolutionary Algorithm （MEA） is put forward and the prediction model is provided. The experimental results show that the proposed approach can be effective and reliable for the wind broad prospect of engineering application. power prediction. The Mind Evolutionary Algorithm method has a
出处
《计算技术与自动化》
2017年第2期95-99,共5页
Computing Technology and Automation
关键词
思维进化算法
风电功率
预测模型
mind evolutionary algorithm
wind power
prediction model
