{"title":"Energy Management System for PV-DC Generator Based Microgrid for Rural Homes","authors":"Vageesh Amoriya, R. Chauhan, Shreshtha Mittal, Kalpana Chauhan, Arpita Bharti, Anju Saini","doi":"10.1109/GEC55014.2022.9987145","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987145","url":null,"abstract":"This paper presents a energy management system (EMS) for a photovoltaic-fuel DC generator based microgrid system for home. The proposed system is based on the following objectives: (i) To Ensure Load sharing among sources. (ii) To reduce the power loss and increase efficiency of the photovoltaic system with the implementation of MPPT Algorithm. (iii) To make the system economically viable by using DC Generator as a backup instead of designing a specific battery bank. To improve the system's reliability and power quality, a proportional-integral (PI)-based controller is designed to operate a DC generator as a backup to maintain microgrid stability when there is a power shortage at the DC bus bar due to low PV power generation or excess load. The DC generator then begins to supply the load. The performance and control strategy of proposed EMS is verified using MATLAB Simulink.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126784557","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}
A. Vedant, A. Yadav, S. Sharma, O. Thite, A. Sheikh
{"title":"A Practical Byzantine Fault Tolerance Blockchain for Securing Vehicle-to-Grid Energy Trading","authors":"A. Vedant, A. Yadav, S. Sharma, O. Thite, A. Sheikh","doi":"10.1109/GEC55014.2022.9986685","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9986685","url":null,"abstract":"The impending advancement in the vehicle-to-grid technology (V2G) enables the transmission of information between them and the transfer of energy from battery-powered electric vehicles (EV) to the grid. Confidential information about the EV should, however, be transferred securely from one node to another during the information exchange. Additionally, it is important to maintain the privacy of the grid and EV. In view of this, the paper highlights the usefulness of blockchain in securing the energy trading between EV and the grid. A practical byzantine fault tolerance (PBFT) is utilized for achieving the consensus in blockchain network and it states that for the attack to be successful 33% information is to be manipulated. The proposed PBFT based V2G system is tested in different scenarios and the results shows the effectiveness of the proposed PBFT-based blockchain.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122924888","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}
S. Ahmed, Mohammad Zeyad, Jannatul Feardous, Md. Sadik Tasrif Anubhove, Eftakhar Hossain
{"title":"Smart Agriculture Application for Monitoring Environment of Poultry Farm with Energy-Efficiency Measure","authors":"S. Ahmed, Mohammad Zeyad, Jannatul Feardous, Md. Sadik Tasrif Anubhove, Eftakhar Hossain","doi":"10.1109/GEC55014.2022.9987058","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987058","url":null,"abstract":"Agriculture plays one of the most essential roles in the development of the economic sector of a country. Poultry farming is one of the most demandable agricultural methods that can play a significant role to fulfill the major food demand of developing countries like Bangladesh. Moreover, energy-efficient smart Internet of Things (IoT) based applications could play a vital role to reduce the extra energy loss of poultry farms. Though, the fundamental aspiration of this work is to propose a smart mobile application for poultry farms that will keep an ideal environment inside the poultry farm. Also, through the app, it is possible to control energy meters and meet all kinds of electricity needs of the poultry farm after the integration with the solar PV power plant. For the monitoring purpose of the poultry farm, a smart app has been created which will be able to work automatically without any expertise. Besides, the name of the poultry app is given “Smart Agriculture Application (SAA)”. In addition, more exciting features have been added to the application including a password or fingerprint verification system, a three-step verification system, and so on. On the other hand, the application is not limited to controlling the indoor environment for chickens, but also ducks, and incubation procedures through the application. Nevertheless, the android application had developed for easy access to control systems in a smart way. However, the “SAA” mobile application will create a smart energy-efficient, and vibrant indoor environment for the poultry farm that can easily be operated by the farmers.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124497239","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}
Veysel Gider, Cafer Budak, Davut Izci, Serdar Ekinci
{"title":"Daily Solar Radiation Prediction Using LSTM Neural Networks","authors":"Veysel Gider, Cafer Budak, Davut Izci, Serdar Ekinci","doi":"10.1109/GEC55014.2022.9987055","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987055","url":null,"abstract":"The integration of solar energy with the smart grids and existing infrastructure makes it a cost-effective and environmentally-friendly solution to address the growing energy need. To make use of the potential of solar energy, several challenges such as the stability of generated energy and the supply-demand imbalance must be overcome. In this regard, an accurate forecast model for global solar radiation (GSR) can be useful for power generation planning and system reliability. The GSR estimate is regarded as the most significant and critical element in defining solar system characteristics, thus, it is crucial in predicting the generated energy. This work, therefore, employs long-short-term memory (LSTM) as a deep learning method to successfully estimate solar irradiance and capture the stochastic fluctuations. In this respect, the measurement data (from year 2021) obtained from the station installed in Dicle University (Turkey), Science and Technology Application and Research Centre (DUBTAM) were used, and the efficiency of the proposed method was evaluated.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133424856","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}
{"title":"Hybrid Heuristic and Pattern Search Optimization Algorithm for Design Optimization of Energy Efficient Distribution Transformer","authors":"M. Hashemi, U. Kiliç, Selim Dikmen","doi":"10.1109/GEC55014.2022.9987023","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987023","url":null,"abstract":"Transformers are widely used in the electric power grid. The design of power and distribution transformers is a tedious and time-consuming task that requires solving numerous equations considering technical constraints. Most conventional methods get stuck in a local optimum point. In this paper, a hybrid algorithm is proposed to solve the transformer design problem with higher closeness to the global optimum solution. The algorithm is a combination of the novel Pelican Optimization Algorithm (POA) and Pattern Search Method (PSM). The proposed POA-PSM algorithm is applied for the design optimization of 630 kVA and 1000 kVA oil-immersed eco-design distribution transformers and the results are compared to already-designed transformers with the same power ratings.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124269869","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}
{"title":"Steady-State Analysis of TSBB Converter with Parasitics","authors":"V. Siddhartha, Y. V. Hote","doi":"10.1109/GEC55014.2022.9986692","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9986692","url":null,"abstract":"In this paper, steady-state analysis of DC-DC PWM TSBB (Two Switch Buck-Boost) converter with parasitics is pre-sented. The highlights of this work are: First, possible operating regions and limits of operation and relating with other basic DC-DC converters. Second, mathematical modeling of TSBB converter with parasitics and analyzed in view of control systems. This analysis reveals the design flexibility of TSBB converter. All theoritical outcomes are validated through experimental and simulation results. Experimental verification is done by using DSPACE DS1104.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124617844","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}
{"title":"Using Artificial Bee Colony and Dragonfly Algorithms to Improve the Accuracy of Parameter Estimation of Li- FePO4 Battery Cell","authors":"Taner Çarkıt","doi":"10.1109/GEC55014.2022.9987189","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987189","url":null,"abstract":"Studies on li-ion batteries, which are increasingly used in various technological fields, are spreading to different areas. One of these study subjects is to determine the battery parameters with high accuracy and transfer them to the test and simulation system. In a study conducted for a similar purpose, the A123 ANR26650 Li-FePO4 battery cell has been discharged at room conditions with 2000 mA constant current. The real terminal voltage has been obtained by analyzing the obtained data. Mathematical expressions of internal resistance and terminal voltage are defined. The terminal voltage is characterized as a third-order function dependent on the state of charge. Simulink/Matlab, curve fitting, artificial bee colony algorithm, and dragonfly algorithm are used to forecast terminal voltage. While comparing the methods, the Simulink model has not been included in the comparison because it has been the ideal model. As a result, the most consistent method has been determined by using different statistical methods such as the actual error values, the sum of the squares of the errors, and the mean value of the sum of the squares of the errors. Artificial bee colony algorithm has performed best with an mean value of the sum of the squares of the errors of 1.1822e-05. It has emerged that dragonfly algorithm needs to be developed and a new field of study has been opened.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126973502","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}
{"title":"Non-convex Dynamic Economic Emission Dispatch With Ramp Rate Limits Using Heuristic Algorithms","authors":"E. Aydin, Mikail Purlu, B. Turkay","doi":"10.1109/GEC55014.2022.9986933","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9986933","url":null,"abstract":"Economic emission dispatch, which is of great importance on the operation of electrical power systems, aims to minimize the total fuel cost and the emission of the system. Also, demand load and any other constraints such as generation capacity constraints and ramp rate limits should be met. This paper proposes two heuristic methods, Genetic Algorithm and Particle Swarm Optimization to solve economic emission dispatch problem considering transmission losses, valve point effect and ramp rate limits. The proposed algorithms were implemented to two test systems of 5-unit and 10-unit and obtained results were compared with the other algorithms in literature. As a result, implementation of the proposed algorithms on economic emission dispatch problems in power systems of various sizes is successful, reliable and flexible.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619788","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}
Timothy Dodge, O. Long, Ammar Alnahwi, R. Horton, H. Nazaripouya
{"title":"Mobile Battery Energy Storage System for On/Off Grid Applications","authors":"Timothy Dodge, O. Long, Ammar Alnahwi, R. Horton, H. Nazaripouya","doi":"10.1109/GEC55014.2022.9987233","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987233","url":null,"abstract":"As the use of the power grid has become more integral to everyday society, a growing momentum towards a more dynamic power system resides on the horizon. With the invention of renewable and distributed energy resources, this push is beginning to become a reality. However, these resources are mainly implemented stationary designs. In this paper, the authors explore the possibility of implementing these resources into a Mobile On/Off Grid Battery Energy Storage System (MOGBESS). This system implements a hybrid inverter and a battery energy storage system (BESS), which is then integrated through an external primary controller. The system is then configured into a portable chassis that implements plug-and-play connectivity. Such a design considers both the consideration of the original stationary design and the mobile system, which includes system control and communication, operational power, and mobile protection.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127617991","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}
Ismail A. Mageed, Musa Yilmaz, Quichun Zhang, Resat Çelikel, M. Sidhu
{"title":"A review of potential applications of Tensor Decompositions to Electromagnetics and energy works","authors":"Ismail A. Mageed, Musa Yilmaz, Quichun Zhang, Resat Çelikel, M. Sidhu","doi":"10.1109/GEC55014.2022.9987191","DOIUrl":"https://doi.org/10.1109/GEC55014.2022.9987191","url":null,"abstract":"The approaches for tensor decomposition (TD) are reviewed in this study. For uncertainty quantification and electromagnetic (EM) solvers, we cover their applications to surrogate modeling (SM). The current study Discussion is undertaken regarding the significant impact of these decompositions on lowering memory. Additionally, the influential role of TDs in energy research is thoroughly reviewed. The latter review consolidates more foundational motivations and insights into further employment of TDs to advance research works. Conclusions and future directions are given.","PeriodicalId":280565,"journal":{"name":"2022 Global Energy Conference (GEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580063","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}