Intelligent modeling and optimization on time-sharing power dispatching system for electrolytic zinc process
来源期刊:中国有色金属学报(英文版)2000年第4期
论文作者:王雅琳 桂卫华 阳春华 黄泰松
文章页码:561 - 565
Key words:fuzzy neural network; optimization model of time-sharing power; simulated annealing algorithm
Abstract: Based on real-time price counting of electric power, an optimization model of time-sharing power for electrolytic zinc process(EZP) was established by means of an incremental fuzzy neural network(FNN), which is adopted to approximate the relationship of current efficiency, current density and acidity. Penalty function introduced and optimal objective function reconstructed, a single-loop simulated annealing algorithm(SAA) by using mutation and extending searching spaces was used to obtain optimal time-sharing power scheme. Industrial practical results show that the whole system can greatly decrease the power consumption of EZP and increase the time-sharing profits.