Since the advancement of DRL algorithms in the last decade, there is an increased focus on their application in several different fields like autonomous driving, health data monitoring, NLP, image processing, etc. Likewise a subset of these algorithms have found application in replacing the traditional control techniques, with improved performance and efficiency. PMSM drives utilized for traction application in modern day electric vehicles require a highly accurate control scheme. The performance of the controller directly contributes to the performance and efficiency of the entire system. The drawback of PMSM drives is the nonlinearity and that its parameters are dynamic in nature. The controller used in traditional control techniques (PI, PID controller) have good control action for system which are linear and time invariant. As mentioned the PMSM does have a parameter variation issue which results due to the change in ambient condition like temperature, humidity, pressure, etc. The control efficiency of traditional controller diminishes with change in parameters of the system. Hence to address these issues we adopt the FOC technique with an actor-critic agent based controller. The actor critic agent is trained with multi network policy based control algorithm. In this paper we compare and discuss the control action of a traditional control vs RL based control.
{"title":"Addressing Parameter Variation Of PMSM Drive With Multi Network Policy Based Control For Electric Vehicle Application","authors":"Shubham Bhosale, Sukanta Halder, Soumava Bhattacharjee, Mousam Ghosh, Debojit Biswas","doi":"10.1109/GlobConPT57482.2022.9938188","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938188","url":null,"abstract":"Since the advancement of DRL algorithms in the last decade, there is an increased focus on their application in several different fields like autonomous driving, health data monitoring, NLP, image processing, etc. Likewise a subset of these algorithms have found application in replacing the traditional control techniques, with improved performance and efficiency. PMSM drives utilized for traction application in modern day electric vehicles require a highly accurate control scheme. The performance of the controller directly contributes to the performance and efficiency of the entire system. The drawback of PMSM drives is the nonlinearity and that its parameters are dynamic in nature. The controller used in traditional control techniques (PI, PID controller) have good control action for system which are linear and time invariant. As mentioned the PMSM does have a parameter variation issue which results due to the change in ambient condition like temperature, humidity, pressure, etc. The control efficiency of traditional controller diminishes with change in parameters of the system. Hence to address these issues we adopt the FOC technique with an actor-critic agent based controller. The actor critic agent is trained with multi network policy based control algorithm. In this paper we compare and discuss the control action of a traditional control vs RL based control.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124275629","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938153
Aditya Tiwari, N. Sengar, Vrinda Yadav
Next Word Prediction involves guessing the next word which is most likely to come after the current word. The system suggests a few words. A user can choose a word according to their choice from a list of suggested word by system. It increases typing speed and reduces keystrokes of the user. It is also useful for disabled people to enter text slowly and for those who are not good with spellings. Previous studies focused on prediction of the next word in different languages. Some of them are Bangla, Assamese, Ukraine, Kurdish, English, and Hindi. According to Census 2011, 43.63% of the Indian population uses Hindi, the national language of India. In this work, deep learning techniques are proposed to predict the next word in Hindi language. The paper uses Long Short Term Memory and Bidirectional Long Short Term Memory as the base neural network architecture. The model proposed in this work outperformed the existing approaches and achieved the best accuracy among neural network based approaches on IITB English-Hindi parallel corpus.
{"title":"Next Word Prediction Using Deep Learning","authors":"Aditya Tiwari, N. Sengar, Vrinda Yadav","doi":"10.1109/GlobConPT57482.2022.9938153","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938153","url":null,"abstract":"Next Word Prediction involves guessing the next word which is most likely to come after the current word. The system suggests a few words. A user can choose a word according to their choice from a list of suggested word by system. It increases typing speed and reduces keystrokes of the user. It is also useful for disabled people to enter text slowly and for those who are not good with spellings. Previous studies focused on prediction of the next word in different languages. Some of them are Bangla, Assamese, Ukraine, Kurdish, English, and Hindi. According to Census 2011, 43.63% of the Indian population uses Hindi, the national language of India. In this work, deep learning techniques are proposed to predict the next word in Hindi language. The paper uses Long Short Term Memory and Bidirectional Long Short Term Memory as the base neural network architecture. The model proposed in this work outperformed the existing approaches and achieved the best accuracy among neural network based approaches on IITB English-Hindi parallel corpus.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118892","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938336
Prajeet Shukla, V. Verma
The Proposed Converter discusses the control algorithm to suppress the inrush starting current of the resonant converter with fast dynamics. The Proposed converter is able to handle the inrush current by switching the converter at the start with twice the resonant frequency and reducing the switching frequency to near resonant frequency while at the steady state condition the variable switching frequency is achieved using look up table method. Initial transients are eliminated using proposed modified hysteresis controller. The 3.3KW, 380V/96V LLC resonant converter outcomes and performance are confirmed using MATLAB/SIMULINK.
{"title":"Pulse splitting cum width control for transient handling of LLC Resonant Converter","authors":"Prajeet Shukla, V. Verma","doi":"10.1109/GlobConPT57482.2022.9938336","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938336","url":null,"abstract":"The Proposed Converter discusses the control algorithm to suppress the inrush starting current of the resonant converter with fast dynamics. The Proposed converter is able to handle the inrush current by switching the converter at the start with twice the resonant frequency and reducing the switching frequency to near resonant frequency while at the steady state condition the variable switching frequency is achieved using look up table method. Initial transients are eliminated using proposed modified hysteresis controller. The 3.3KW, 380V/96V LLC resonant converter outcomes and performance are confirmed using MATLAB/SIMULINK.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125857171","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938288
Utsav Sharma, Bhim Singh
The design and operation of the modified SEPIC converter-based bidirectional battery charger for a wide range of electric vehicles (EVs) are presented in this work. The wide range of EVs includes an electric two-wheeler (e2W) and an electric car. Therefore, the design of a modified SEPIC converter is carried out to charge an e2W with a 72 V battery and an electric car with a 240 V battery. Along with satisfactory charging operation, compliance with the IEC standard is the major advantage of the presented battery charger. Furthermore, the modified SEPIC converter-based battery charger has the advantage of bidirectional operation. To verify the effectiveness of the presented battery charger grid to a vehicle (G2V) is analyzed with the ideal grid voltage. In addition, the efficacy of the charger is verified with amplitude variations in the grid voltage. Lastly, the presented charger is tested for a vehicle-to-home (V2H) operation to verify the efficacy during the bidirectional operation.
{"title":"A Bidirectional Battery Charger for a Wide Range of Electric Vehicles","authors":"Utsav Sharma, Bhim Singh","doi":"10.1109/GlobConPT57482.2022.9938288","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938288","url":null,"abstract":"The design and operation of the modified SEPIC converter-based bidirectional battery charger for a wide range of electric vehicles (EVs) are presented in this work. The wide range of EVs includes an electric two-wheeler (e2W) and an electric car. Therefore, the design of a modified SEPIC converter is carried out to charge an e2W with a 72 V battery and an electric car with a 240 V battery. Along with satisfactory charging operation, compliance with the IEC standard is the major advantage of the presented battery charger. Furthermore, the modified SEPIC converter-based battery charger has the advantage of bidirectional operation. To verify the effectiveness of the presented battery charger grid to a vehicle (G2V) is analyzed with the ideal grid voltage. In addition, the efficacy of the charger is verified with amplitude variations in the grid voltage. Lastly, the presented charger is tested for a vehicle-to-home (V2H) operation to verify the efficacy during the bidirectional operation.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124687399","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938326
A. Jani, V. Makwana
Traditional digital distance relaying scheme is used to protect the transmission lines against various abnormal conditions/faults. In this paper, the authors have discussed the adverse effects of fault and system parameters, such as fault resistance, fault location, power transfer angle etc., on the performance of the protection scheme. Further, a modified protection algorithm is developed to mitigate the effect of weak sources/non-homogeneous network on the protection of shunt-compensated doubly-fed transmission line. It also improves the performance of the protection scheme during all the aforesaid variations in system and fault parameters. The modified protection scheme is based on the mathematical analysis of the sequence components of voltage, current and impedance of the network components. An equivalent impedance vector for each of the above-stated fault and system parameters is obtained and the relationship between these vectors is represented in vectorial form. With the help of this vector diagram and the mathematical analysis, the actual impedance of faulted part of the line is calculated. Since the algorithm is derived mathematically, it is simple to understand and user-friendly. A negligible error is observed while simulating the modified protection algorithm considering all the severe variations in fault and system parameters. MATLAB/Simulink software is used to verify the developed algorithm using 50 Hz frequency of the power system.
{"title":"Modified Protection Algorithm for Shunt Compensated Doubly-fed Line against Phase-to-ground Fault","authors":"A. Jani, V. Makwana","doi":"10.1109/GlobConPT57482.2022.9938326","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938326","url":null,"abstract":"Traditional digital distance relaying scheme is used to protect the transmission lines against various abnormal conditions/faults. In this paper, the authors have discussed the adverse effects of fault and system parameters, such as fault resistance, fault location, power transfer angle etc., on the performance of the protection scheme. Further, a modified protection algorithm is developed to mitigate the effect of weak sources/non-homogeneous network on the protection of shunt-compensated doubly-fed transmission line. It also improves the performance of the protection scheme during all the aforesaid variations in system and fault parameters. The modified protection scheme is based on the mathematical analysis of the sequence components of voltage, current and impedance of the network components. An equivalent impedance vector for each of the above-stated fault and system parameters is obtained and the relationship between these vectors is represented in vectorial form. With the help of this vector diagram and the mathematical analysis, the actual impedance of faulted part of the line is calculated. Since the algorithm is derived mathematically, it is simple to understand and user-friendly. A negligible error is observed while simulating the modified protection algorithm considering all the severe variations in fault and system parameters. MATLAB/Simulink software is used to verify the developed algorithm using 50 Hz frequency of the power system.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128950746","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938319
Pulakraj Aryan, G. Raja
Uncertainties associated with the modern power system (PS) due to fluctuating load demand as well as the intermittent nature of renewable sources require formidable control requirements. Type-2 fuzzy (T2F) controllers with their extra-dimensional membership function are better suited to handle these uncertainties to provide frequency regulation of multi-area PSs. Combined with the benefits of fractional calculus, T2F can be further enhanced. In this work, a novel T2F fractional-order-integral-derivative plus proportional (T2FIλDμ-P) controller is suggested for the load frequency control of a two-area deregulated PS having multiple generating units including renewables. The considered PS has thermal, gas and distributed renewable sources such as the solar photovoltaic (PV) and wind turbine generation as the generating units. The suggested T2FIλDμ-P controller is optimally tuned with the equilibrium optimizer. The investigated PS is applied with step interference to analyze the performance of the suggested control scheme in comparison to other prevalent controllers and optimization algorithms. A bode-instituted stability investigation is presented for the controlled system.
{"title":"Analysis of Type-2 Fuzzy IλDμ-P Controller for LFC with Communication Delay","authors":"Pulakraj Aryan, G. Raja","doi":"10.1109/GlobConPT57482.2022.9938319","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938319","url":null,"abstract":"Uncertainties associated with the modern power system (PS) due to fluctuating load demand as well as the intermittent nature of renewable sources require formidable control requirements. Type-2 fuzzy (T2F) controllers with their extra-dimensional membership function are better suited to handle these uncertainties to provide frequency regulation of multi-area PSs. Combined with the benefits of fractional calculus, T2F can be further enhanced. In this work, a novel T2F fractional-order-integral-derivative plus proportional (T2FIλDμ-P) controller is suggested for the load frequency control of a two-area deregulated PS having multiple generating units including renewables. The considered PS has thermal, gas and distributed renewable sources such as the solar photovoltaic (PV) and wind turbine generation as the generating units. The suggested T2FIλDμ-P controller is optimally tuned with the equilibrium optimizer. The investigated PS is applied with step interference to analyze the performance of the suggested control scheme in comparison to other prevalent controllers and optimization algorithms. A bode-instituted stability investigation is presented for the controlled system.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056751","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938217
Pullock Deb Nath, Abdullah Al Mamun, Aparna Das, Sajjadul Islam Nader, Gulam Mahfuz Chowdhury
Accidents are on the rise in today's world. An accident may potentially cause the loss of many lives, valuable properties, or sometimes may lead to permanent disability to the victim. New and improved technologies are being used to prevent these accidents. In this paper, we have proposed an loT-based multifunctional fire extinguishing robot that will minimize the damage of the accidents like fire hazards, building collapse, deadly gas leakage, etc. This project aims to ensure the safety of our lives and valuable properties by minimizing the damages that occurred from any accident.
{"title":"An IoT-based Multifunctional Fire Extinguishing Robot for Industrial & Residential Safety","authors":"Pullock Deb Nath, Abdullah Al Mamun, Aparna Das, Sajjadul Islam Nader, Gulam Mahfuz Chowdhury","doi":"10.1109/GlobConPT57482.2022.9938217","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938217","url":null,"abstract":"Accidents are on the rise in today's world. An accident may potentially cause the loss of many lives, valuable properties, or sometimes may lead to permanent disability to the victim. New and improved technologies are being used to prevent these accidents. In this paper, we have proposed an loT-based multifunctional fire extinguishing robot that will minimize the damage of the accidents like fire hazards, building collapse, deadly gas leakage, etc. This project aims to ensure the safety of our lives and valuable properties by minimizing the damages that occurred from any accident.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130203106","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938233
Minyang Wang, K. Meng, Li Yu, Liang Yuan, Zheng Liang
The increasing penetration of renewable energy results in the grid strength to reduce, and the short circuit ratio (SCR) of the power grid decreases, which causes interference to the traditional power system's operation under a steady state. In order to mitigate such problems, the grid- forming (GF) inverter has been proposed, which is able to provide frequency support during disturbances. The configuration of different types of grid-forming control has been proposed, and their dynamic performances have been thoroughly researched. To further study the fault ride-through (FRT) capability during a three-phase balanced short-circuit fault and compare the dynamic difference between grid- following (GL) and grid-forming control, a theoretical analysis of the inverter using different control methods is conducted. The outcome demonstrates in grid-following control, large frequency variations will occur during and after the fault, while the grid-forming control has small frequency variations, it has better fault ride-through capability and is suitable to operate under a weak grid. Finally, electromagnetic transient simulations are carried out in PSCAD to verify the conclusions.
{"title":"Comparative Fault Ride Through Assessment between Grid-following and Grid-forming Control for Weak Grids Integration","authors":"Minyang Wang, K. Meng, Li Yu, Liang Yuan, Zheng Liang","doi":"10.1109/GlobConPT57482.2022.9938233","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938233","url":null,"abstract":"The increasing penetration of renewable energy results in the grid strength to reduce, and the short circuit ratio (SCR) of the power grid decreases, which causes interference to the traditional power system's operation under a steady state. In order to mitigate such problems, the grid- forming (GF) inverter has been proposed, which is able to provide frequency support during disturbances. The configuration of different types of grid-forming control has been proposed, and their dynamic performances have been thoroughly researched. To further study the fault ride-through (FRT) capability during a three-phase balanced short-circuit fault and compare the dynamic difference between grid- following (GL) and grid-forming control, a theoretical analysis of the inverter using different control methods is conducted. The outcome demonstrates in grid-following control, large frequency variations will occur during and after the fault, while the grid-forming control has small frequency variations, it has better fault ride-through capability and is suitable to operate under a weak grid. Finally, electromagnetic transient simulations are carried out in PSCAD to verify the conclusions.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817287","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938156
S. Singh, A. Thakur, S. P. Singh
State estimation in power systems is utilized to provide an ongoing data set for controlling and observing power systems' performance. There are a few traditional methods like Weighted Least Square (WLS), Weighted Least Average Value (WLAV), and settled utilizing iterative techniques, for example, Gauss-Newton methods. However, these techniques are sensitive to the operating conditions of power systems and uncertainties associated with Renewable Energy Systems (RESs). These techniques yield poor results in the presence of missing data arising out of unreliable communication networks and false data injection, as in the case of a cyber-attack. This paper proposes Bi-directional LSTM (BiLSTM) based Machine Learning method to forecast the state values of power systems. The BiLSTM model utilizes forward and backward layers, having bidirectional memory, making it capable of estimating both past and future hidden layers data. This paper investigates the performance of the proposed method studied on different test system datasets. The efficacy of the proposed method is investigated by comparing the obtained results with other Machine Learning techniques results in the literature. Further, the BiLSTM model's robustness for state estimation is analyzed in the presence of Gaussian noise and missing data points.
{"title":"A new Machine Learning based Approach for Power System State Forecasting","authors":"S. Singh, A. Thakur, S. P. Singh","doi":"10.1109/GlobConPT57482.2022.9938156","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938156","url":null,"abstract":"State estimation in power systems is utilized to provide an ongoing data set for controlling and observing power systems' performance. There are a few traditional methods like Weighted Least Square (WLS), Weighted Least Average Value (WLAV), and settled utilizing iterative techniques, for example, Gauss-Newton methods. However, these techniques are sensitive to the operating conditions of power systems and uncertainties associated with Renewable Energy Systems (RESs). These techniques yield poor results in the presence of missing data arising out of unreliable communication networks and false data injection, as in the case of a cyber-attack. This paper proposes Bi-directional LSTM (BiLSTM) based Machine Learning method to forecast the state values of power systems. The BiLSTM model utilizes forward and backward layers, having bidirectional memory, making it capable of estimating both past and future hidden layers data. This paper investigates the performance of the proposed method studied on different test system datasets. The efficacy of the proposed method is investigated by comparing the obtained results with other Machine Learning techniques results in the literature. Further, the BiLSTM model's robustness for state estimation is analyzed in the presence of Gaussian noise and missing data points.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127821552","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 : 2022-09-23DOI: 10.1109/GlobConPT57482.2022.9938272
S. Singh, A. Thakur, S. Singh, Smita Singh, Sneha Priyadarshi
This paper presents an air conditioner's mathematical static load model in a power distribution network. A mathematical model has been proposed to obtain a polynomial load model for air conditioner load. Mathematical analysis has been carried out by creating a large dataset experimentally by varying voltage and frequency, which has been further interpolated to obtain the final load model. Six different types (i.e., ratings and brands) of air conditioners have been used for experimental verification purposes. MATLAB software toolbox Neural Net Fitting tool has been utilized for the computation purpose of obtaining the best fit model. As the data set created is considerable, different metrics., i.e., Mean Squared Error (MSE) and Regression Value R, are used to evaluate the performance of the trained model. Finally., the obtained model has been compared with the theoretical models.
{"title":"Determination of Measurement based Air Conditioner Load Models","authors":"S. Singh, A. Thakur, S. Singh, Smita Singh, Sneha Priyadarshi","doi":"10.1109/GlobConPT57482.2022.9938272","DOIUrl":"https://doi.org/10.1109/GlobConPT57482.2022.9938272","url":null,"abstract":"This paper presents an air conditioner's mathematical static load model in a power distribution network. A mathematical model has been proposed to obtain a polynomial load model for air conditioner load. Mathematical analysis has been carried out by creating a large dataset experimentally by varying voltage and frequency, which has been further interpolated to obtain the final load model. Six different types (i.e., ratings and brands) of air conditioners have been used for experimental verification purposes. MATLAB software toolbox Neural Net Fitting tool has been utilized for the computation purpose of obtaining the best fit model. As the data set created is considerable, different metrics., i.e., Mean Squared Error (MSE) and Regression Value R, are used to evaluate the performance of the trained model. Finally., the obtained model has been compared with the theoretical models.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127834852","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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