中国有色金属学报(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 10 No. 4 August 2000 |
dispatching system for electrolytic zinc process①
（College of Information Science and Engineering, Central South University of Technology,
Changsha 410083, P.R.China）
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.
Key words: fuzzy neural network; optimization model of time-sharing power; simulated annealing algorithm
