电力系统及其自动化学报2019，Vol.31Issue(7)：57-63,7.DOI:10.19635/j.cnki.csu-epsa.000096
计及储能调度因素的短期负荷预测模型
Short-term Load Forecasting Model Considering Energy Storage Dispatching Factors
摘要
Abstract
To further enhance the accuracy of short-term load forecasting model of power system,a short-term load fore?casting model which takes energy storage dispatching factors into account is presented. By taking the influence of in?creasing energy storage users on load forecasting into account,the corresponding charge-discharge models are built un?der two control strategies of energy storage dispatching based on electricity price and contracts,respectively. The elec?tricity price and contract factors related to energy storage dispatching are integrated into the improved load forecasting models,and the short-term load forecasting is carried out using Elman-neural networks(Elman-NN). The simulation re?sult of an example shows that the prediction accuracy of the Elman-NN short-term load forecasting model considering the energy storage dispatching factors outperforms that of the traditional short-term load forecasting model,and the aver?ages of normalized mean relative error and maximum relative error reach 0.019 4 and 0.065 4,respectively,which veri?fies that the proposed model has better prediction performance and stability.关键词
电力系统/短期负荷预测/储能/Elman神经网络/实时电价Key words
power system/short-term load forecasting/energy storage/Elman-neural networks(Elman-NN)/real-time electricity price分类
信息技术与安全科学引用本文复制引用
毕云帆,撖奥洋,张智晟,孙文慧..计及储能调度因素的短期负荷预测模型[J].电力系统及其自动化学报,2019,31(7):57-63,7.基金项目
中央支持地方高校改革发展专项资金资助项目(藏财教指2018-6号) （藏财教指2018-6号）
西藏自治区科技厅重点科研资助项目( Z2016D01G01/01) （ Z2016D01G01/01）
