Research of Short-Term Load Forecasting for Electrical Vehicle Charging Station based on Combined Prediction Model
Chen Xiqiang1, Liu Zhixin2, Li Xingbo3
1. Taian Power Supply Company of Shandong Power Company, Taian, Shangdong 271000; 2. Gaomi Power Supply Company of Shandong Power Company, Gaomi, Shangdong 261500; 3. Pingyin Power Supply Company of Shandong Power Company, Pingyin, Shangdong 250400
Abstract：The electrical vehicle charging station has a problem of big randomness. In order to solve this problem, this article sets up the ELMAN neural network prediction model. Then this article optimizes the model by Particle Swarm optimization. Then this article combines the optimized model with fuzzy control, and sets up a combined prediction model based on three models. This article collects the real load data of a electrical vehicle charging station in Qingdao. Lastly, results show that the above combined prediction model is effective, and this combined prediction model can improve the predict accuracy.
陈希强, 刘志欣, 李兴波. 基于组合预测模型的电动汽车充电站短期负荷预测研究[J]. 电气技术, 2017, 18(2): 59-64.
Chen Xiqiang, Liu Zhixin, Li Xingbo. Research of Short-Term Load Forecasting for Electrical Vehicle Charging Station based on Combined Prediction Model. Electrical Engineering, 2017, 18(2): 59-64.
[1] 张维戈, 颉飞翔, 黄梅, 等. 快换式公交充电站短期负荷预测方法的研究[J]. 电力系统保护与控制, 2013(4): 61-66. [2] Bahrami S, Hooshmand R A, Parastegari M. Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm[J]. Energy, 2014, 72(7): 434- 442. [3] Ahmmed S, Khan M A, Hasan M K, et al. STLF using Neural Networks and Fuzzy for anomalous load scenarios-A case study for Hajj[C]//International Con- ference on Electrical and Computer Engineering, 2010: 722-725. [4] Jain A, Jain M B. Fuzzy Modeling and Similarity Based Short Term Load Forecasting Using Swarm Intelligence-A Step Towards Smart Grid[J]. Advances in Intelligent Systems & Computing, 2013, 202: 15-27. [5] Rejc M, Einfalt A, Gawron-Deutsch T. Short-term aggregated load and distributed generation forecast using fuzzy grouping approach[C]//International Sym- posium on Smart Electric Distribution Systems and Technologies. IEEE, 2015. [6] 陈阳, 王涛, 刘玉航. 二型模糊集下的推理模型及Mamdani推理算法[J]. 模糊系统与数学, 2008, 22(3): 41-48.
2017, Vol. 18 
