Frequency Control Approach and Load Forecasting Assessment for Wind Systems

作     者：K.Sukanya P.Vijayakumar 

作者机构：Department of EEEKarpagam College of EngineeringCoimbatore641032India 

出 版 物：《Intelligent Automation & Soft Computing》 (智能自动化与软计算（英文）)

年 卷 期：2023年第35卷第1期

页      面：971-982页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Load forecasting wind power prediction fuzzy logic controller ANN SVM hybrid power systems 

摘      要：Frequency deviation has to be controlled in power generation units when there arefluctuations in system *** several renewable energy sources,wind energy forecasting is majorly focused in this work which is a tough task due to its variations and uncontrollable *** there is a mismatch between generation and demand,the frequency deviation may arise from the actual frequency 50 Hz(in India).To mitigate the frequency deviation issue,it is necessary to develop an effective technique for better frequency control in wind energy *** this work,heuristic Fuzzy Logic Based Controller(FLC)is developed for providing an effective frequency control support by modeling the complex behavior of the system to enhance the load forecasting in wind based hybrid power *** control is applied to reduce the frequency deviation due tofluctuations and load prediction information using ANN(Artificial Neural Network)and SVM(Support Vector Machine)learning *** performance analysis of the proposed method is done with different machine learning based *** forecasting assessment is done over various climates with the aim to decrease the prediction errors and to demote the forecasting *** results show that the Mean Absolute Percentage Error(MAPE),Root Mean Square Error(RMSE)and Normalized Mean Absolute Error(NMAE)values are scaled down by 41.1%,9.9%and 23.1%respectively in the proposed method while comparing with existing wavelet and BPN based approach.