Pub Date : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404455
A. N. Arvindan
Deployment of ac-dc converters invariably entails injection of current harmonics into the ac utility; and voltage ripple and hence, harmonics on the dc side. Multipulse unidirectional ac-dc converters are essentially rectifiers that have a high pulse number. The correlation of pulse number of an ac-dc converter and its power quality parameters on both the ac and dc sides is well established, however, in this paper the mathematical expressions of the instantaneous line current and load voltage and hence, their harmonic constituents, have been derived from the first principles for the most fundamental topologies and have been extrapolated to determine those of the higher pulse ones. This is important in the design of current harmonic and voltage ripple filters. Also, the correlation of pulse number with harmonic current distortion is theoretically established and experimentally validated with data from the three-, six- and twelve-pulse rectifiers.
{"title":"Experimental Validation of Improved Power Quality in Unidirectional Multipulse AC - DC Converters due to Higher Pulse Number","authors":"A. N. Arvindan","doi":"10.1109/ICEPE50861.2021.9404455","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404455","url":null,"abstract":"Deployment of ac-dc converters invariably entails injection of current harmonics into the ac utility; and voltage ripple and hence, harmonics on the dc side. Multipulse unidirectional ac-dc converters are essentially rectifiers that have a high pulse number. The correlation of pulse number of an ac-dc converter and its power quality parameters on both the ac and dc sides is well established, however, in this paper the mathematical expressions of the instantaneous line current and load voltage and hence, their harmonic constituents, have been derived from the first principles for the most fundamental topologies and have been extrapolated to determine those of the higher pulse ones. This is important in the design of current harmonic and voltage ripple filters. Also, the correlation of pulse number with harmonic current distortion is theoretically established and experimentally validated with data from the three-, six- and twelve-pulse rectifiers.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129975434","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404461
Priyabrat Garanayak, K. Panda, R. T. Naayagi, G. Panda
This paper proposes a unique two-fold adaptive linear neural network (ADALINE) for extracting the sum of harmonics and reactive currents from the load currents in a three-phase hybrid power filter (HPF) network. The HPF linked with photovoltaic (PV) system and DC-DC boost converter to extract maximal power using maximum power point tracking (MPPT). The proposed detection algorithm for HPF is entitled as Master-Slave ADALINE (MS ADALINE), which is based on parallel adaptive filter theory. The Slave-ADALINE follows fixed and large step-size least mean square (LMS) algorithm for weight vector correction. During transients, this filter plays an important job. However, Master-ADALINE selects adaptable step-size LMS learning rule for weight vector adaptation. At last, the local averages of the squared errors of both the ADALINE's are worked out and fed to the decision controller circuit. This circuit equates the two magnitudes, and revises the Master-ADALINE weight vector and step-size parameter, accordingly. This recommended scheme boosts the convergence speed and improves tracking accurateness. The efficacy of MS ADALINE is proven by comprehensive simulation and experimental survey.
{"title":"An Ultra-Fast Master-Slave ADALINE for Hybrid Active Power Filter including Photovoltaic System","authors":"Priyabrat Garanayak, K. Panda, R. T. Naayagi, G. Panda","doi":"10.1109/ICEPE50861.2021.9404461","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404461","url":null,"abstract":"This paper proposes a unique two-fold adaptive linear neural network (ADALINE) for extracting the sum of harmonics and reactive currents from the load currents in a three-phase hybrid power filter (HPF) network. The HPF linked with photovoltaic (PV) system and DC-DC boost converter to extract maximal power using maximum power point tracking (MPPT). The proposed detection algorithm for HPF is entitled as Master-Slave ADALINE (MS ADALINE), which is based on parallel adaptive filter theory. The Slave-ADALINE follows fixed and large step-size least mean square (LMS) algorithm for weight vector correction. During transients, this filter plays an important job. However, Master-ADALINE selects adaptable step-size LMS learning rule for weight vector adaptation. At last, the local averages of the squared errors of both the ADALINE's are worked out and fed to the decision controller circuit. This circuit equates the two magnitudes, and revises the Master-ADALINE weight vector and step-size parameter, accordingly. This recommended scheme boosts the convergence speed and improves tracking accurateness. The efficacy of MS ADALINE is proven by comprehensive simulation and experimental survey.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126757461","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404514
Pragnyashree Ray, P. K. Ray
The proposed work deals with the multiple power quality (PQ) issues by the proper operation and effective control of photovoltaic (PV) fed unified power quality conditioner (UPQC) by using soft computing technique. Variable leaky least mean square (VLLMS) algorithm is neural network based soft computing technique which provides faster convergence rate without drifting the weight parameter beyond the limit. Here, extraction process of fundamental component for both series and shunt compensators of the UPQC is based on VLLMS algorithm. In this method extraction of reference signals for switching of voltage source converters (VSC) of series and shunt compensators is carried out by updating the weights in an iterative manner. The shunt compensator maintains DC link voltage, compensates reactive power demand of load and mitigates harmonics in the current due to the involvement of non-linear load. The series compensator maintains the voltage level at the load terminal and eliminates distortions in voltage waveform due to sag/swell and harmonics. The functionality of the proposed system is investigated by using MATLAB/Simulink.
{"title":"Design and Control of PV-UPQC Using Variable Leaky LMS Based Algorithm for Power Quality Enhancement","authors":"Pragnyashree Ray, P. K. Ray","doi":"10.1109/ICEPE50861.2021.9404514","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404514","url":null,"abstract":"The proposed work deals with the multiple power quality (PQ) issues by the proper operation and effective control of photovoltaic (PV) fed unified power quality conditioner (UPQC) by using soft computing technique. Variable leaky least mean square (VLLMS) algorithm is neural network based soft computing technique which provides faster convergence rate without drifting the weight parameter beyond the limit. Here, extraction process of fundamental component for both series and shunt compensators of the UPQC is based on VLLMS algorithm. In this method extraction of reference signals for switching of voltage source converters (VSC) of series and shunt compensators is carried out by updating the weights in an iterative manner. The shunt compensator maintains DC link voltage, compensates reactive power demand of load and mitigates harmonics in the current due to the involvement of non-linear load. The series compensator maintains the voltage level at the load terminal and eliminates distortions in voltage waveform due to sag/swell and harmonics. The functionality of the proposed system is investigated by using MATLAB/Simulink.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131025219","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404386
Madan Kumar Das, Parusharamulu Buduma, K. Jana, Sukumar Mishara
The demand of Photovoltaic (PV) connected multilevel Inverter for higher power applications in industries and home has been increasing rapidly. This paper proposed a new asymmetrical multilevel inverter (AMLI) topology, which can reduce the switches for PV application. The proposed 13-level Inverter, only eight power electronics switches are uses to generate 13-level of output voltages. The simulation, as well as experimental results of the inverter voltage and current at RL load, are presented. The proposed Inverter validity is tested with MATLAB/SIMULINK and real-time simulator Dspace (DS1103) and implement laboratory prototype hardware.
{"title":"Novel 13-level Asymmetrical Photovoltaic Inverter with Reduced switches","authors":"Madan Kumar Das, Parusharamulu Buduma, K. Jana, Sukumar Mishara","doi":"10.1109/ICEPE50861.2021.9404386","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404386","url":null,"abstract":"The demand of Photovoltaic (PV) connected multilevel Inverter for higher power applications in industries and home has been increasing rapidly. This paper proposed a new asymmetrical multilevel inverter (AMLI) topology, which can reduce the switches for PV application. The proposed 13-level Inverter, only eight power electronics switches are uses to generate 13-level of output voltages. The simulation, as well as experimental results of the inverter voltage and current at RL load, are presented. The proposed Inverter validity is tested with MATLAB/SIMULINK and real-time simulator Dspace (DS1103) and implement laboratory prototype hardware.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435980","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404372
Debidasi Mohanty, S. Panda
The aim of the paper is to propose a noble load frequency control (LFC) scheme for hybrid power system (HPS). The hybrid power system owing to its intermittent generating sources always needs a robust load frequency controller for its reliable operation. In this paper electric vehicle and heat pump are incorporated with the HPS for frequency control. Use of customer appliances like electric vehicle (EV) and heat pump (HP) eventually reduces the use of independent energy storage units for the HPS. The power control of HP and charging/discharging of EV helps in real power management of the HPS which ultimately helps in frequency control. A recently proposed harris' hawks optimization (HHO) technique is utilized for tuning of the controllers parameters. Two controllers are taken into consideration i.e. PID and fuzzy PID controller for evaluation of frequency control in HPS. The fuzzy aided PID (FPID) controller shows superior performance against different operating conditions than PID controller.
{"title":"Robust frequency control of hybrid power system with EV and HP","authors":"Debidasi Mohanty, S. Panda","doi":"10.1109/ICEPE50861.2021.9404372","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404372","url":null,"abstract":"The aim of the paper is to propose a noble load frequency control (LFC) scheme for hybrid power system (HPS). The hybrid power system owing to its intermittent generating sources always needs a robust load frequency controller for its reliable operation. In this paper electric vehicle and heat pump are incorporated with the HPS for frequency control. Use of customer appliances like electric vehicle (EV) and heat pump (HP) eventually reduces the use of independent energy storage units for the HPS. The power control of HP and charging/discharging of EV helps in real power management of the HPS which ultimately helps in frequency control. A recently proposed harris' hawks optimization (HHO) technique is utilized for tuning of the controllers parameters. Two controllers are taken into consideration i.e. PID and fuzzy PID controller for evaluation of frequency control in HPS. The fuzzy aided PID (FPID) controller shows superior performance against different operating conditions than PID controller.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132110770","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404500
Mukul Chankaya, Ikhlaq Hussain, Aijaz Ahmad
The presented paper reports the adaptive kernel width fourth-order maximum correntropy criteria (AKWFOMCC) based voltage source converter (VSC) control for 3-phase 3-wire grid-tied dual-stage PV-battery system. The presented control executes numerous objectives, i.e., load balancing, power balancing, reactive power compensation, and maintains the unity power factor (UPF). The system is observed under the influence of several deliberately induced dynamic conditions, i.e., insolation variation, unbalanced load, unbalanced grid-voltage and specified power mode. During various dynamic induced conditions, the system behaviour is found adequate as per IEEE519 standards in MATLAB simulation environment.
{"title":"Adaptive Kernel Width fourth order Maximum Correntropy based VSC control of grid-tied PV-Battery System","authors":"Mukul Chankaya, Ikhlaq Hussain, Aijaz Ahmad","doi":"10.1109/ICEPE50861.2021.9404500","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404500","url":null,"abstract":"The presented paper reports the adaptive kernel width fourth-order maximum correntropy criteria (AKWFOMCC) based voltage source converter (VSC) control for 3-phase 3-wire grid-tied dual-stage PV-battery system. The presented control executes numerous objectives, i.e., load balancing, power balancing, reactive power compensation, and maintains the unity power factor (UPF). The system is observed under the influence of several deliberately induced dynamic conditions, i.e., insolation variation, unbalanced load, unbalanced grid-voltage and specified power mode. During various dynamic induced conditions, the system behaviour is found adequate as per IEEE519 standards in MATLAB simulation environment.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"5 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113986050","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404434
Gaurav Yadav, S. Nag
MOSFETs are paralleled in a converter in order to enhance its current handling capacity which in turn results in reduced conduction losses and increased efficiency. However, paralleling MOSFETs and ensuring equal current sharing among them is difficult to achieve. The paper identifies the parameters causing current unbalance among parallel devices and uses LT-Spice simulation to study their effects for GaN HEMTs. Further, these simulation results are matched with experimental results for two paralleled GaN HEMTs. The challenges in paralleling of Wide bandgap devices such as GaN and SiC are also presented. A detailed review of various active and passive current balancing techniques for paralleling of SiC and GaN FETs is presented.
{"title":"Review of Factors Affecting Current Sharing and Techniques for Current Balancing in Paralleled Wide Bandgap Devices","authors":"Gaurav Yadav, S. Nag","doi":"10.1109/ICEPE50861.2021.9404434","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404434","url":null,"abstract":"MOSFETs are paralleled in a converter in order to enhance its current handling capacity which in turn results in reduced conduction losses and increased efficiency. However, paralleling MOSFETs and ensuring equal current sharing among them is difficult to achieve. The paper identifies the parameters causing current unbalance among parallel devices and uses LT-Spice simulation to study their effects for GaN HEMTs. Further, these simulation results are matched with experimental results for two paralleled GaN HEMTs. The challenges in paralleling of Wide bandgap devices such as GaN and SiC are also presented. A detailed review of various active and passive current balancing techniques for paralleling of SiC and GaN FETs is presented.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116041226","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404527
Vartika Pandey, Prem Prakash
This paper shows the charging of electric vehicles and forms a link between storage devices, electric vehicles and grid and perform simulation based on the power obtained by the grid. Charging and discharging of EV is to be shown, which is implemented by MATLAB Simulation. Through that we obtain results and it can be seen that smart charging is the best suitable curve which optimizes EV scheduling and best voltage profile is obtained. In the first phase Electric Vehicle simulation model is run and in the second phase coding is being done by the application of Grey wolf Optimization and Forward/ Backward load flow algorithm.
{"title":"Dynamic management of electric vehicle charging station","authors":"Vartika Pandey, Prem Prakash","doi":"10.1109/ICEPE50861.2021.9404527","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404527","url":null,"abstract":"This paper shows the charging of electric vehicles and forms a link between storage devices, electric vehicles and grid and perform simulation based on the power obtained by the grid. Charging and discharging of EV is to be shown, which is implemented by MATLAB Simulation. Through that we obtain results and it can be seen that smart charging is the best suitable curve which optimizes EV scheduling and best voltage profile is obtained. In the first phase Electric Vehicle simulation model is run and in the second phase coding is being done by the application of Grey wolf Optimization and Forward/ Backward load flow algorithm.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115133712","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404515
Silar Sahib Shaik, S. Gudey
This work presents the performance of fractional order sliding mode control (FOSMC) for a microgrid system (MG) consisting of solar and a battery feeding different loads. The proposed controller is used to track effectively the desired output voltage during changeover from solar to battery system. Using state space model of a voltage source inverter (VSI), the control input is obtained. The maximum power from the Solar PV system is harnessed using Perturb and Observe (P&O) MPPT algorithm. To step up the voltage of 200 V generated from the PV panel to 400 V as input to the 2.5 kVA rated VSI, a boost converter is utilized. PWM switching pulses are generated to the IGBT switches operating at 10 kHz for effective tracking of the reference load voltages. A 2.5 kW 0.8 pf lagging load and a single phase diode bridge rectifier as non-linear load is considered to be fed from the MG system. The controller's performance in terms of steady state error, total harmonic distortion (THD), settling time is studied during the system operation. A comparison with the classical SMC is observed through its control energy is also presented. The control energy required in FOSMC for a stable system operation is 8 times less than that of SMC is realized. It is observed that FOSMC performs well with less steady state error of 1.32 %, THD of 0.135 % and settling time of 0.16 ms. Simulations are performed in PSCADv4.6.
{"title":"FOSMC Control Mechanism For Solar and Battery based Microgrid System","authors":"Silar Sahib Shaik, S. Gudey","doi":"10.1109/ICEPE50861.2021.9404515","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404515","url":null,"abstract":"This work presents the performance of fractional order sliding mode control (FOSMC) for a microgrid system (MG) consisting of solar and a battery feeding different loads. The proposed controller is used to track effectively the desired output voltage during changeover from solar to battery system. Using state space model of a voltage source inverter (VSI), the control input is obtained. The maximum power from the Solar PV system is harnessed using Perturb and Observe (P&O) MPPT algorithm. To step up the voltage of 200 V generated from the PV panel to 400 V as input to the 2.5 kVA rated VSI, a boost converter is utilized. PWM switching pulses are generated to the IGBT switches operating at 10 kHz for effective tracking of the reference load voltages. A 2.5 kW 0.8 pf lagging load and a single phase diode bridge rectifier as non-linear load is considered to be fed from the MG system. The controller's performance in terms of steady state error, total harmonic distortion (THD), settling time is studied during the system operation. A comparison with the classical SMC is observed through its control energy is also presented. The control energy required in FOSMC for a stable system operation is 8 times less than that of SMC is realized. It is observed that FOSMC performs well with less steady state error of 1.32 %, THD of 0.135 % and settling time of 0.16 ms. Simulations are performed in PSCADv4.6.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"334 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115224427","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404497
Udith Shyamsukha, Nimish Jain, T. Chakraborty, B. Prusty, Kishore Bingi
This paper effectively devised a novel approach to characterize the predictable variations in a multi-time instant ambient temperature time series. A multiple linear regression model is used to capture the annual predictable variations accurately. The clues for predictable variations upon detailed analysis of multi-time instant daily time resolution ambient temperature data led to the invention of a set of theoretical relevant deterministic regressors forming a reducing order model. A detailed result analysis has established that the proposed model is a suitable candidate for multi-time instant daily time step data and can be extended for the risk assessment of system analysis that accounts for the temperature effect. Further, probabilistic forecasting using regression-based methods can easily combat the above-limited number of theoretical relevant regressors for decent interval forecasts. The proposed model's effectiveness is analyzed using historical ambient temperature records collected from three distinct places in India.
{"title":"Modeling of Predictable Variations in Multi-Time Instant Ambient Temperature Time Series","authors":"Udith Shyamsukha, Nimish Jain, T. Chakraborty, B. Prusty, Kishore Bingi","doi":"10.1109/ICEPE50861.2021.9404497","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404497","url":null,"abstract":"This paper effectively devised a novel approach to characterize the predictable variations in a multi-time instant ambient temperature time series. A multiple linear regression model is used to capture the annual predictable variations accurately. The clues for predictable variations upon detailed analysis of multi-time instant daily time resolution ambient temperature data led to the invention of a set of theoretical relevant deterministic regressors forming a reducing order model. A detailed result analysis has established that the proposed model is a suitable candidate for multi-time instant daily time step data and can be extended for the risk assessment of system analysis that accounts for the temperature effect. Further, probabilistic forecasting using regression-based methods can easily combat the above-limited number of theoretical relevant regressors for decent interval forecasts. The proposed model's effectiveness is analyzed using historical ambient temperature records collected from three distinct places in India.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126129358","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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