Optimization of System Operating Parameters and Improvement of Prediction Accuracy in Photovoltaic Power Station Electricity Prediction
This paper explores the importance of optimizing system operating parameters in photovoltaic power plant electricity prediction and investigates methods to enhance prediction accuracy through parameter optimization.First,it introduces the background and significance of electricity prediction in photovoltaic power plants and analyzes the main existing problems and their causes,including weather conditions,system complexity,component aging,and the limitations of traditional prediction methods.Then,it presents specific methods for optimizing system operating parameters,with a focus on the application of the particle swarm algorithm in optimization.The effectiveness of this method is demonstrated through experiments.Finally,the paper summarizes the importance and practicality of optimizing system operating parameters in improving the accuracy of electricity prediction in photovoltaic power plants,providing a reference for future research and applications.
photovoltaic power stationelectricity predictionsystem operating parametersprecision improvement
万方数据
维普
