电力系统保护与控制Issue(23)：113-117,5.
基于改进ABC算法的中长期电力负荷组合预测
Improved artificial bee colony algorithm applied to medium and long-term load combination forecasting
摘要
Abstract
Artificial bee colony (ABC) algorithm is applied to the medium and long term power load forecasting. Combined with the combination forecasting model, it optimizes the weights of combination prediction in objective function. A disturbing term and worst honey substitution are introduced to overcome the problems of slow convergence speed in the early stage and easy falling to local optimum in the late stage of the existing ABC algorithm. Case analysis shows that the improved method has rapid convergence and strong global optimization. Compared with the forecasting result of single model, the combination forecasting value by using the improved method is more accurate, which shows it is feasible in the medium and long term power load forecasting.关键词
ABC算法/中长期电力负荷/组合预测/扰动项/OBL策略Key words
artificial bee colony algorithm/medium and long-term electricity load/combination forecasting/disturbing term/OBL strategy分类
信息技术与安全科学引用本文复制引用
陈强,金小明,姚建刚,杨胜杰,龚磊,吴兆刚..基于改进ABC算法的中长期电力负荷组合预测[J].电力系统保护与控制,2014,(23):113-117,5.基金项目
国家自然科学基金项目(51277059)@@@@This work is supported by National Natural Science Foundation of China (No.51277059) （51277059）
