人工神经网络预测技术在微网运行中的应用  

Application of ANN Prediction Technology in Microgrid Operation

作　　者：王越[1] 卫志农[1] 吴佳佳[1] 

机构地区：[1]河海大学能源与电气学院,南京211100

出　　处：《电力系统及其自动化学报》2012年第2期83-89,共7页Proceedings of the CSU-EPSA

摘　　要：针对微网中用电高峰时期电能短缺的问题,提出根据预测系统控制微网的运行模式可以充分发挥分布式电源的优势,最大限度地利用网内资源供电,减轻主网压力。文中借助人工神经网络算法,预测微网中的微电源和负荷,以此分析和规划微网的运行方式。实测数据的仿真结果表明在配网高负荷时期引入预测系统后,微网的供电可靠性和节能减排效果都得到了极大地提高,可为微网的运行方式提供可行的建议。To solve the problem of power shortage during the peak-load time in the microgrid,a operation mode based on the microgrid control by the prediction system is proposed in this paper,which can maximize the advantage of DG and resource utilization to relieve the power main-grid pressure.Artificial neural network（ANN） is used to forecast microgeneration and load in the microgrid,and then to analyze and plan the microgrid operation according to the forecasted data.Finally,the simulation results of the actual data show that the reliability of power supply and the effect of energy saving and emission reduction of microgrid are improved greatly.Some possible suggestions for the microgrid operation are also proposed.

关 键 词：微电网 风速预测 神经网络 误差反向传播算法 可靠性 

分 类 号：TM727[电气工程—电力系统及自动化]