PSO-BP-Based Optimal Allocation Model for Complementary Generation Capacity of the Photovoltaic Power Station

作     者：Zhenfang Liu Haibo Liu Dongmei Zhang 

作者机构：Department of Electrical AutomationHebei University ofWater Resources and Electric EngineeringHebei UniversityWater Conservancy Automation and Informatization Application Technology Research and Development CenterCangzhou061001China 

出 版 物：《Energy Engineering》 (能源工程（英文）)

年 卷 期：2023年第120卷第7期

页      面：1717-1727页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Photovoltaic power station complementary power generation capacity optimization resource allocation 

摘      要：To improve the operation efficiency of the photovoltaic power station complementary power generation system,an optimal allocation model of the photovoltaic power station complementary power generation capacity based on PSO-BP is *** Swarm Optimization and BP neural network are used to establish the forecasting model,the Markov chain model is used to correct the forecasting error of the model,and the weighted fitting method is used to forecast the annual load curve,to complete the optimal allocation of complementary generating capacity of photovoltaic power *** experimental results show that thismethod reduces the average loss of photovoltaic output prediction,improves the prediction accuracy and recall rate of photovoltaic output prediction,and ensures the effective operation of the power system.