计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 133-135.doi: 10.11896/j.issn.1002-137X.2017.11A.027
唐承娥
TANG Cheng-e
摘要： 短期负荷预测是电力系统正常运行的关键环节,合理的发电计划依靠准确的负荷预测,因此提出交变粒子群算法来优化BP网络模型以预测电力短期负荷。针对 依靠先前的经验 来确定BP神经网络的权值缺少理论依据的问题,采用交变粒子算法优化BP神经网络权值,以减少通过神经网络预测模型求解电力短期负荷预测带来的误差。实验证明,经过优化的BP神经网络预测模型比传统的BP神经网络预测模型的误差更小,更加接近实际电力负荷。
| [1] 刘晨晖.电力系统负荷预报理论和方法[M].哈尔滨:哈尔滨工业大学出版社,1987. [2] XIE K G,LI C Y,ZHOU J Q.Research of the combination forecasting model for load based on artificial neural network [J].Proceedings of the CSEE,2002,22(7):85-89. [3] YOU Y,SHENG W X,WANG S A.Short-term load forecasting using artificial immune network[J].Proceedings of the CSEE,2003,23(3):26-30. [4] ZHENG G,LIU B,ZHOU Y,et al.Short-term load forecasting based on neural network[J].Journal of Xi’an University of Technology,2002,18(2):126-130. [5] TAI N L,HOU Z J.New short-term load forecasting principle with the wavelet transform fuzzy neural network for the power systems[J].Proceedings of the CSEE,2004,24(1):24-29. [6] YOU Y,SHENG W X,WANG S A.The study and application of the electric power system short-term load forecasting using a new model[J].Proceedings of the CSEE,2002,22(9):15-18. [7] JIANG Y.Short-term load forecasting using a neural network based on fuzzy clustering[J].Power System Technology,2003,27(2):45-49. [8] YAO L X,YAO J X,LI B Q,et al.Short-term load forecasting using neural network based on competitive learning classification[J].Power System Technology,2004,28(10):45-48. [9] MCCLELLAND J L,RUMELHART D E.Parallel distributed processing [M].Cambridge:MIT Press,1986. [10] LARSEN E V,MILLER N W,NILSSON S L,et al.Benefits of GTO-based compensation systems for electric utility applications[J].IEEE Trans on Power Delivery,1992,7(4):2056-2061. [11] CEN W H,LEI Y K,XIE H.The application of the electric power system short-term load forecasting using artificial network and genetic algorithm[J].Automation of Electric Power Systems,1997,21(3):29-32. [12] DING J W,SUN Y M.Short-term load forecasting using a neural network based on chaos learning algorithm[J].Automation of ElectricPower Systems,2000,24(2):32-35. [13] YANGQ Y,SUN J G,ZHANG J Y,et al.A Hybrid Discrete Particle Swarm Algorithm for Open-Shop Problems[C]∥Proceedings of the 6th International Conference on Simulated Evolution And Learning (SEAL 2006).Hefei,China,LNCS 4247,2006:158-165. [14] VAN DEN BERGH F.An Analysis of Particle Swarm Optimizers[D].Department of Computer Science,University of Pretoria,Pretoria,South Africa,2002. [15] RAMESHKUMAR K,SURESH R K,Mohanasundaram K M.Discrete Particle Swarm Optimization (DPSO) Algorithm for Permutation Flowshop Scheduling to Minimize Makspan[C]∥Proc.ICNC 2005.LNCS 3612,2005:572-581. [16] LIAN Z G,GU X S,JIAO B.A similar particle swarm optimization algorithm for permutation flowshop scheduling to minimize makespan[J].Applied Mathematics and Computation,2006,175(1):773-785. |
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