Pub Date : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152343
Noman Sharif, Saad Afridi, Afaq Hussain, Muhammad Hasnain, Saad Rasheed
Over the recent few years, the trend to use solar energy in day-to-day applications has exponentially grown. People are looking for transforming the existing non-renewable based energy infrastructure to a clean renewable energy source. From cars to cities, solar energy has captured a great attention. Lawn Mower has been always used to maintain the lawn. However, the conventional Diesel based lawn mowers are a threat to society. The presence of abundant sunlight in lawn is a key prospect that can be utilized in favor of mankind. Extracting solar energy from sun, and using it to drive an automated lawn mower is the basic purpose of our project. Solar energy is used to charge batteries, increasing the average operation time and area. The lawn mower starts from the boundary of a lawn and concentrically moves towards the center and clears the whole patch. It has been found effective and efficient in its operation as compared with the conventional lawn mower.
{"title":"Solar Powered Automated Grass Cutter Machine with Lawn Coverage","authors":"Noman Sharif, Saad Afridi, Afaq Hussain, Muhammad Hasnain, Saad Rasheed","doi":"10.1109/ICEPT58859.2023.10152343","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152343","url":null,"abstract":"Over the recent few years, the trend to use solar energy in day-to-day applications has exponentially grown. People are looking for transforming the existing non-renewable based energy infrastructure to a clean renewable energy source. From cars to cities, solar energy has captured a great attention. Lawn Mower has been always used to maintain the lawn. However, the conventional Diesel based lawn mowers are a threat to society. The presence of abundant sunlight in lawn is a key prospect that can be utilized in favor of mankind. Extracting solar energy from sun, and using it to drive an automated lawn mower is the basic purpose of our project. Solar energy is used to charge batteries, increasing the average operation time and area. The lawn mower starts from the boundary of a lawn and concentrically moves towards the center and clears the whole patch. It has been found effective and efficient in its operation as compared with the conventional lawn mower.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131511625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152365
F. Mumtaz, Maqsood Ahmad Shah, H. H. Khan, H. A. Qureshi, Syed Junaid Iqbal, Asadullah
Microgrids are modern power systems that have evolved because of the global distribution of renewable energy resources (RERs) close to ending users. However, due to the dynamic nature of these microgrids, islanding detection (ID) is a major concern. A novel passive islanding detection strategy for microgrids is introduced in this paper. Initially, the voltage signals are acquired at the point of common coupling (PCC). Then, an adaptive Kalman filter (AKF) is applied to the measured voltage signals as a state observer for noise-free state estimations of the non-fundamental harmonic features. In addition, the recurrent neural network (RNN) is deployed on the extracted harmonic features for the calculation of state observer-based intelligent harmonic factor (SOBIHF). Finally, the SOBIHF is compared with the threshold level to typify between islanding and non-islanding condition. The presented approach has been tested in MATLAB/Simulink® on the study microgrid system. The results depict that the presented scheme detects islanding events with 99.8% accuracy and reduces the non-detection zone (NDZ) in various cases.
{"title":"Intelligent Passive Islanding Detection Scheme For Microgrids Through a State Observer with Artificial Intelligence","authors":"F. Mumtaz, Maqsood Ahmad Shah, H. H. Khan, H. A. Qureshi, Syed Junaid Iqbal, Asadullah","doi":"10.1109/ICEPT58859.2023.10152365","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152365","url":null,"abstract":"Microgrids are modern power systems that have evolved because of the global distribution of renewable energy resources (RERs) close to ending users. However, due to the dynamic nature of these microgrids, islanding detection (ID) is a major concern. A novel passive islanding detection strategy for microgrids is introduced in this paper. Initially, the voltage signals are acquired at the point of common coupling (PCC). Then, an adaptive Kalman filter (AKF) is applied to the measured voltage signals as a state observer for noise-free state estimations of the non-fundamental harmonic features. In addition, the recurrent neural network (RNN) is deployed on the extracted harmonic features for the calculation of state observer-based intelligent harmonic factor (SOBIHF). Finally, the SOBIHF is compared with the threshold level to typify between islanding and non-islanding condition. The presented approach has been tested in MATLAB/Simulink® on the study microgrid system. The results depict that the presented scheme detects islanding events with 99.8% accuracy and reduces the non-detection zone (NDZ) in various cases.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122205664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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