基于NSGA-Ⅱ-VAR的燃煤电厂负荷预测OA
Load forecasting for coal-fired power plants based on NSGA-Ⅱ-VAR
燃煤电厂负荷预测的意义在于可以预先了解未来一段时间内的电力需求情况,从而合理安排发电设备的运行和停机维修时间,避免能源浪费、提高发电效率;此外,在燃煤电厂参与深度调峰、配煤掺烧的大背景下,为了确保混煤发热量适应负荷需求,提高燃烧效率,需要提前预知未来一段时间的负荷.本文提出一种基于快速非支配排序遗传算法(non-dominated sorting genetic algorithm Ⅱ,NSGA-Ⅱ)优化向量自回归模型(vector autore…查看全部>>
The significance of load forecasting for coal-fired power plants lies in the fact that it is possible to know in advance the demand for electricity in the future period of time,so as to rationally arrange the operation and downtime of power generation equipment for maintenance,avoid energy waste,and improve the efficiency of power generation;moreover,in the context of coal-fired power plants participating in in-depth peaking and coal blending,it is necessary…查看全部>>
韩伟伦;茅大钧;陈思勤
上海电力大学自动化工程学院,上海 200090上海电力大学自动化工程学院,上海 200090华能国际电力股份有限公司上海石洞口第二电厂,上海 200942
能源与动力
燃煤电厂燃烧效率负荷预测NSGA-Ⅱ算法VAR模型
coal-fired power plantcombustion efficiencyload forecastingNSGA-Ⅱ algorithmVAR model
《电力科技与环保》 2024 (4)
371-379,9
国家自然科学基金项目(52005131)中国华能集团有限公司2022年度科技项目(HNKJ22-HF22)
评论