Pub Date : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151428
Anurag Verma, D. Chaturvedi
Neurological disorders are abnormal behavior of nervous system occurring due to irregular firing of neurons. These disorders cause both physical and psychological imbalance to human being suffering from it and may cause even death in some cases. Few of these disorders are epilepsy, Alzheimer’s disease, dementia, cerebro vascular diseases including stroke, migraine, Parkinson’s disease and many more. This manuscript presents neurological disorder detection using electroencephalogram (EEG) signals with machine learning methods. Here, neurological disorders like epilepsy and Attention deficit/hyperactivity disorder (ADHD) have discussed. These Neurological disorders can be differentiated from normal healthy brain using EEG Signal features and efficient classification methods ANN, SVM, Random Forrest and Ensemble methods etc. Some of the robust features like, RMS value, entropy and wavelet coefficients have been explored. For seizures, epilepsy, and ADHD patients time frequency features like wavelet coefficients are the robust one. One of the databases utilized in this study for epilepsy detection is BONN dataset.
{"title":"Neurological disorder detection using EEG signal processing and Machine Learning","authors":"Anurag Verma, D. Chaturvedi","doi":"10.1109/REEDCON57544.2023.10151428","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151428","url":null,"abstract":"Neurological disorders are abnormal behavior of nervous system occurring due to irregular firing of neurons. These disorders cause both physical and psychological imbalance to human being suffering from it and may cause even death in some cases. Few of these disorders are epilepsy, Alzheimer’s disease, dementia, cerebro vascular diseases including stroke, migraine, Parkinson’s disease and many more. This manuscript presents neurological disorder detection using electroencephalogram (EEG) signals with machine learning methods. Here, neurological disorders like epilepsy and Attention deficit/hyperactivity disorder (ADHD) have discussed. These Neurological disorders can be differentiated from normal healthy brain using EEG Signal features and efficient classification methods ANN, SVM, Random Forrest and Ensemble methods etc. Some of the robust features like, RMS value, entropy and wavelet coefficients have been explored. For seizures, epilepsy, and ADHD patients time frequency features like wavelet coefficients are the robust one. One of the databases utilized in this study for epilepsy detection is BONN dataset.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116709647","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151143
Ankitta Bhatt, S. Loan
This work focuses on the design and simulation of a differential Colpitts voltage controlled oscillator (VCO) in integer and fractional domains. The proposed VCO employs n and p-type metal oxide semiconductor field effect transistor (MOSFET) coupling along with injected orthogonal signals at base. The designing uses 32nm MOS technology node at an operating voltage of 1 volt. Both integer order capacitors and the fractional order based pseudo-capacitors have been used for designing the VCOs. The comparative analysis of the key performance measuring parameters has been done using HSPICE. It has been observed that the fractional order circuitry provides much greater phase and frequency control due to an additional parameter, fractional order α, which is not possible in an integer order circuitry. The simulations have shown that increasing α decreases the oscillation frequency of the VCO. At α=0.4, the oscillation frequency is 13.33 GHz and it decreases to 12,6 GHz for α=0.81. However, the fractional order VCO circuit results in more power consumption than the integer order, which is its biggest limitation.
{"title":"Fractional Order Voltage Controlled Oscillator with Injected Orthogonal Signals at Base: Design and Simulation","authors":"Ankitta Bhatt, S. Loan","doi":"10.1109/REEDCON57544.2023.10151143","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151143","url":null,"abstract":"This work focuses on the design and simulation of a differential Colpitts voltage controlled oscillator (VCO) in integer and fractional domains. The proposed VCO employs n and p-type metal oxide semiconductor field effect transistor (MOSFET) coupling along with injected orthogonal signals at base. The designing uses 32nm MOS technology node at an operating voltage of 1 volt. Both integer order capacitors and the fractional order based pseudo-capacitors have been used for designing the VCOs. The comparative analysis of the key performance measuring parameters has been done using HSPICE. It has been observed that the fractional order circuitry provides much greater phase and frequency control due to an additional parameter, fractional order α, which is not possible in an integer order circuitry. The simulations have shown that increasing α decreases the oscillation frequency of the VCO. At α=0.4, the oscillation frequency is 13.33 GHz and it decreases to 12,6 GHz for α=0.81. However, the fractional order VCO circuit results in more power consumption than the integer order, which is its biggest limitation.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114294632","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10150564
Md Sarfraz Khusroo, Anwar Ullah Khan, Tarikul Isalm
This paper deals with developing an interfacing circuit for measuring A.C. powers (active, reactive, and apparent power), power factors, and load parameters (resistance, inductance) in a smart grid. The reactive power measurement is an important requirement with the interconnection of various renewable energy sources to the grid. In order to determine the actual value of active and reactive power, the average value quadrature and in-phase components of output are required. Based on the proposed measurement scheme, we obtain an average value of two voltage signals, quadrature and in-phase, which are proportional to the active and reactive power of the system, separately and independently. Mathematical proofs back the proposed method, and the simulation results obtained from LTspice software precisely verify the proposed technique. Experiments were conducted for different inductive loads for the measurement of various parameters. Simulation results show that the maximum error of reactive power measurement is below 1.5%. The major contributions of the proposed method are frequency invariance, cost effective, easy working, least component count, quick response (within a power cycle), and online measurement features.
{"title":"An Accurate Circuit for the Measurements of Multiple Smart Grid Parameters","authors":"Md Sarfraz Khusroo, Anwar Ullah Khan, Tarikul Isalm","doi":"10.1109/REEDCON57544.2023.10150564","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150564","url":null,"abstract":"This paper deals with developing an interfacing circuit for measuring A.C. powers (active, reactive, and apparent power), power factors, and load parameters (resistance, inductance) in a smart grid. The reactive power measurement is an important requirement with the interconnection of various renewable energy sources to the grid. In order to determine the actual value of active and reactive power, the average value quadrature and in-phase components of output are required. Based on the proposed measurement scheme, we obtain an average value of two voltage signals, quadrature and in-phase, which are proportional to the active and reactive power of the system, separately and independently. Mathematical proofs back the proposed method, and the simulation results obtained from LTspice software precisely verify the proposed technique. Experiments were conducted for different inductive loads for the measurement of various parameters. Simulation results show that the maximum error of reactive power measurement is below 1.5%. The major contributions of the proposed method are frequency invariance, cost effective, easy working, least component count, quick response (within a power cycle), and online measurement features.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127751066","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10150680
B. V. Kumar, Aneesa Farhan M A
There is an enormous growth in the popularity of electric vehicles (EVs), which has brought forth a considerable rise in the installation of infrastructure and the development of electric vehicle charging stations (EVCSs). Thus, it is quite impossible to ignore the detrimental impact of increased EVCSs loads on the distribution system. The power distribution system parameters like voltage and current will be gravely impacted by a significant number of EVCSs. According to an existing investigation, poorly planned EV charging stations will interfere with the power system ability to operate efficiently. The implementation of EVs is expected to have a variety of positive effects, one of which is that they are a good choice for lowering transportation-related emissions. This paper reviews the impact of EV charging stations on the power distribution network. Additionally, the paper mentions mitigating the impact using better technical support for the development of EVCSs.
{"title":"A Review of Technical Impact of Electrical Vehicle Charging Stations on Distribution Grid","authors":"B. V. Kumar, Aneesa Farhan M A","doi":"10.1109/REEDCON57544.2023.10150680","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150680","url":null,"abstract":"There is an enormous growth in the popularity of electric vehicles (EVs), which has brought forth a considerable rise in the installation of infrastructure and the development of electric vehicle charging stations (EVCSs). Thus, it is quite impossible to ignore the detrimental impact of increased EVCSs loads on the distribution system. The power distribution system parameters like voltage and current will be gravely impacted by a significant number of EVCSs. According to an existing investigation, poorly planned EV charging stations will interfere with the power system ability to operate efficiently. The implementation of EVs is expected to have a variety of positive effects, one of which is that they are a good choice for lowering transportation-related emissions. This paper reviews the impact of EV charging stations on the power distribution network. Additionally, the paper mentions mitigating the impact using better technical support for the development of EVCSs.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"30 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132653902","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151183
Ankur Singh Rana, K. Jnaneswar, M. Thomas
A protection methodology based on traveling wave using Discrete Wavelet Transform (DWT) in a multi-terminal radial microgrid (MG) network has been proposed in this paper. The proposed method utilizes a hybrid scheme, combination of super-imposed Root Mean Square (RMS) current method Discrete Wavelet Transform technique, to locate the fault in radial microgrid structure. This paper first uses superimposed current to detect and identify the fault section, then DWT to locate the fault, by capturing the traveling wave during fault. Further, the proposed scheme requires minimal number of Intelligent Electronic Devices (IEDs). This scheme is tested on IEEE 33 bus system in EMTDC/PSCAD for various test cases such as variations in fault resistance and inception angle for all types of faults in all different sections. Outcome of test results shows algorithm has less errors and the error values in fault location mainly depends on the DG location in the system
{"title":"Fault Location Identification Using Hybrid Scheme in AC Microgrid","authors":"Ankur Singh Rana, K. Jnaneswar, M. Thomas","doi":"10.1109/REEDCON57544.2023.10151183","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151183","url":null,"abstract":"A protection methodology based on traveling wave using Discrete Wavelet Transform (DWT) in a multi-terminal radial microgrid (MG) network has been proposed in this paper. The proposed method utilizes a hybrid scheme, combination of super-imposed Root Mean Square (RMS) current method Discrete Wavelet Transform technique, to locate the fault in radial microgrid structure. This paper first uses superimposed current to detect and identify the fault section, then DWT to locate the fault, by capturing the traveling wave during fault. Further, the proposed scheme requires minimal number of Intelligent Electronic Devices (IEDs). This scheme is tested on IEEE 33 bus system in EMTDC/PSCAD for various test cases such as variations in fault resistance and inception angle for all types of faults in all different sections. Outcome of test results shows algorithm has less errors and the error values in fault location mainly depends on the DG location in the system","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114345866","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10150598
Ahmad Bin Afzal, Fahad Iqbal, Y. Rafat, Abdullah Bin Afzal
In light of recent population expansion and increased industrialization, there is a substantial increase in demand for electrical energy. Due to greenhouse gas emissions, depleting fossil fuels, and high lifecycle costs, traditional energy resources have proved to be a hurdle in the path of development. Given their independence from fossil fuels, increased dependability, and zero carbon emissions, microgrids powered by renewable energy sources stand out as being among the most environmentally friendly ways to meet future energy demands. To achieve the seventh Sustainable Development Goal by 2030, academic and research institutions must be at the forefront of research and development efforts on the transition to sustainable energy. In this paper, we have explored the optimization and implementation of institutional-based sustainable microgrids based on aspects like cost analysis, carbon emission, and the availability of energy resources. To fulfill the technical and emission limits as well as to obtain the lowest investment and operating costs, the ideal size of Hybrid Renewable Energy Systems (HREs) equipment should be chosen. Hybrid Optimization of Multiple Energy Resources (HOMER) software is one of the most effective tools for modelling and optimization. NASA's (National Aero Space Agency) solar and wind data is used to obtain metrological information, such as solar irradiance and wind speed.
{"title":"Design and Optimization of a Campus Microgrid using the HOMER Simulator","authors":"Ahmad Bin Afzal, Fahad Iqbal, Y. Rafat, Abdullah Bin Afzal","doi":"10.1109/REEDCON57544.2023.10150598","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150598","url":null,"abstract":"In light of recent population expansion and increased industrialization, there is a substantial increase in demand for electrical energy. Due to greenhouse gas emissions, depleting fossil fuels, and high lifecycle costs, traditional energy resources have proved to be a hurdle in the path of development. Given their independence from fossil fuels, increased dependability, and zero carbon emissions, microgrids powered by renewable energy sources stand out as being among the most environmentally friendly ways to meet future energy demands. To achieve the seventh Sustainable Development Goal by 2030, academic and research institutions must be at the forefront of research and development efforts on the transition to sustainable energy. In this paper, we have explored the optimization and implementation of institutional-based sustainable microgrids based on aspects like cost analysis, carbon emission, and the availability of energy resources. To fulfill the technical and emission limits as well as to obtain the lowest investment and operating costs, the ideal size of Hybrid Renewable Energy Systems (HREs) equipment should be chosen. Hybrid Optimization of Multiple Energy Resources (HOMER) software is one of the most effective tools for modelling and optimization. NASA's (National Aero Space Agency) solar and wind data is used to obtain metrological information, such as solar irradiance and wind speed.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116219376","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151114
Rupika Gandotra, Kirti Pal
The Distributed Generator (DG) unit nowadays have become an integral part of any power system network. For the effective management of power flowing in a network, the size and position of the DG unit play the important role, but DG integration on the other side, also affects the operating characteristics of the system such as losses may be increased or decreased, variation in voltage and increases the cost for consumers or generators. To eliminate such effects, it is proposed that DG units can be integrated with FACTS devices, as these devices provide more reliability to the network. On the other side, load demand is also increasing day by day therefore, to fulfil the demand it is required to make use of these DG units at various locations. In this paper, an analytical approach with optimal power flow (OPF) method is used in MATLAB environment to identify the optimal location of DG and FACTS devices in maximum loading condition.
{"title":"Optimal location of DG and FACTS devices under Maximum loading Capacity","authors":"Rupika Gandotra, Kirti Pal","doi":"10.1109/REEDCON57544.2023.10151114","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151114","url":null,"abstract":"The Distributed Generator (DG) unit nowadays have become an integral part of any power system network. For the effective management of power flowing in a network, the size and position of the DG unit play the important role, but DG integration on the other side, also affects the operating characteristics of the system such as losses may be increased or decreased, variation in voltage and increases the cost for consumers or generators. To eliminate such effects, it is proposed that DG units can be integrated with FACTS devices, as these devices provide more reliability to the network. On the other side, load demand is also increasing day by day therefore, to fulfil the demand it is required to make use of these DG units at various locations. In this paper, an analytical approach with optimal power flow (OPF) method is used in MATLAB environment to identify the optimal location of DG and FACTS devices in maximum loading condition.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115165244","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151153
Varun Goel, H. Kumar
This paper analyzes the transient behavior of the ITO/PQT-12/CdSe QDs/Au-based photodetector to study the pyro-phototronic effect. The colloidal CdSe Quantum Dots (QDs) used in the device has been prepared using the bottom-up hot injection method (average particle size is 4.69 nm) and deposited using the spin coating technique. PQT-12 is deposited using both drop cast and spin coating techniques. The device’s behavior study has been performed under self-bias (0-V). Utilizing pyroelectric materials like CdSe and PQT-12 initiates the pyro-phototronic effect during light transients. The study was carried out under UV and white light sources controlled using Arduino UNO. The device shows 4-stages of the pyro-phototronic effect, starting from switching the light ON to the stable thermal condition. A comparative study using UV light and white light LED sources has been presented. The device under consideration shows a quick response to UV light with a rise and fall time of 9.68 and 10.9 ms, respectively.
{"title":"Study of Pyro-phototronic Effect in ITO/PQT-12 /CdSe QDs/Au based Self-Powered Photodetector","authors":"Varun Goel, H. Kumar","doi":"10.1109/REEDCON57544.2023.10151153","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151153","url":null,"abstract":"This paper analyzes the transient behavior of the ITO/PQT-12/CdSe QDs/Au-based photodetector to study the pyro-phototronic effect. The colloidal CdSe Quantum Dots (QDs) used in the device has been prepared using the bottom-up hot injection method (average particle size is 4.69 nm) and deposited using the spin coating technique. PQT-12 is deposited using both drop cast and spin coating techniques. The device’s behavior study has been performed under self-bias (0-V). Utilizing pyroelectric materials like CdSe and PQT-12 initiates the pyro-phototronic effect during light transients. The study was carried out under UV and white light sources controlled using Arduino UNO. The device shows 4-stages of the pyro-phototronic effect, starting from switching the light ON to the stable thermal condition. A comparative study using UV light and white light LED sources has been presented. The device under consideration shows a quick response to UV light with a rise and fall time of 9.68 and 10.9 ms, respectively.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122504845","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151262
N. Chothani, D. Patel, A. Desai
Conventional transformer used in power grid occupies large space and it has a complex electromagnetic characteristic. Due to advancements in electronics and digital technology, it is possible to develop a solid-state transformer (SST). The issues like nonlinear characteristics, oil leakage, and large size with conventional transformers can certainly be eliminated by SST. It can be easily controllable and is also able to transfer power smoothly. SST compose of three main parts; converts to generate high-frequency supply, isolating transformer, and again converter to produce low-frequency supply. The boost rectifier used in STT is elaborated on in this article. Here, a power electronic transformer operating at high frequency is proposed for the integration of distributed resources in place of an electromagnetic transformer. MATLAB software is used for modeling of one-phase rectifier with the Hysteresis Current Control (HCC) technique to boost the voltage. An effective control strategy is designed with a PI controller and HCC to attain a unity power factor and reduces the total harmonic distortion (THD). It is to be noted that the outcome of hysteresis current control in terms of THD is better than fixed frequency-based current control.
{"title":"Hysteresis Current Control-based Boost Rectifier Analysis for Single Phase Solid State Transformer","authors":"N. Chothani, D. Patel, A. Desai","doi":"10.1109/REEDCON57544.2023.10151262","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151262","url":null,"abstract":"Conventional transformer used in power grid occupies large space and it has a complex electromagnetic characteristic. Due to advancements in electronics and digital technology, it is possible to develop a solid-state transformer (SST). The issues like nonlinear characteristics, oil leakage, and large size with conventional transformers can certainly be eliminated by SST. It can be easily controllable and is also able to transfer power smoothly. SST compose of three main parts; converts to generate high-frequency supply, isolating transformer, and again converter to produce low-frequency supply. The boost rectifier used in STT is elaborated on in this article. Here, a power electronic transformer operating at high frequency is proposed for the integration of distributed resources in place of an electromagnetic transformer. MATLAB software is used for modeling of one-phase rectifier with the Hysteresis Current Control (HCC) technique to boost the voltage. An effective control strategy is designed with a PI controller and HCC to attain a unity power factor and reduces the total harmonic distortion (THD). It is to be noted that the outcome of hysteresis current control in terms of THD is better than fixed frequency-based current control.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772018","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 : 2023-05-01DOI: 10.1109/REEDCON57544.2023.10151117
Swapnasis Satpathy, P. K. Sahoo, Twinkle Kisku
Renewable energy systems are becoming more and more common as people turn away from conventional energy sources. Microgrids are incorporated with renewable energy sources as they guarantee an economically and environmentally sound solution. The main problem arises when electric vehicle charging stations are integrated with microgrids. It would be required for the microgrid to have a synchronized and optimal charging system in order to accommodate several EVs. Using the HOMER Grid software, various configurations are simulated in this paper. Various renewable energy sources, tariff plans, and size of the components are used to create the configuration to determine the system that performs the best economically and environmentally. With regard to factors such as annual energy costs, cost reductions, and carbon emissions, among other things, a comparison of the current system with the optimized system is performed. As a result, the NPC, O&M and LCOE of the system decreased by ₹ 2.56M, ₹ 4.52L, and ₹ 4.03 respectively and the carbon emissions got reduced significantly.
{"title":"Modelling of an Electric Vehicle Charging Station Incorporating Optimal Sizing and Cost","authors":"Swapnasis Satpathy, P. K. Sahoo, Twinkle Kisku","doi":"10.1109/REEDCON57544.2023.10151117","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151117","url":null,"abstract":"Renewable energy systems are becoming more and more common as people turn away from conventional energy sources. Microgrids are incorporated with renewable energy sources as they guarantee an economically and environmentally sound solution. The main problem arises when electric vehicle charging stations are integrated with microgrids. It would be required for the microgrid to have a synchronized and optimal charging system in order to accommodate several EVs. Using the HOMER Grid software, various configurations are simulated in this paper. Various renewable energy sources, tariff plans, and size of the components are used to create the configuration to determine the system that performs the best economically and environmentally. With regard to factors such as annual energy costs, cost reductions, and carbon emissions, among other things, a comparison of the current system with the optimized system is performed. As a result, the NPC, O&M and LCOE of the system decreased by ₹ 2.56M, ₹ 4.52L, and ₹ 4.03 respectively and the carbon emissions got reduced significantly.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122696413","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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