This study aims to investigate the economic operation of building-distributed PV power stations without energy storage.It firstly builds an integrated PV system and establishes mathematical models for related parts;predicts PV power generation with QPSO-BIGRU,achieving an accuracy of 0.202,0.109 and 0.939 for MAE,RMSE and R 2,respectively;and analyzes the dispatching under the 4 schemes based on the prediction results.The study results show that in the implementation of Scheme 4,the intelligent multiple objective particle swarm optimization algorithm significantly reduces the electricity cost by 62.26%,and the peak-to-average ratio also decreases by 2.65%,achieving a PV self-consumption rate of 49.06%.The experimental results provide reference for the economic operation of PV integrated buildings without energy storage.
维普
万方数据