Pub Date : 2021-01-01DOI: 10.1504/IJPEC.2021.10035705
Ankur Kumar, Nitin Singh, N. Choudhary
{"title":"A comparative analysis for optimal placement and sizing of distributed generator in grid connected and islanded mode of microgrid","authors":"Ankur Kumar, Nitin Singh, N. Choudhary","doi":"10.1504/IJPEC.2021.10035705","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10035705","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809150","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 : 2021-01-01DOI: 10.1504/ijpec.2020.10034461
K. Kompella, S. Rayapudi, Naga Sreenivasu Rongala
Bearing fault diagnosis in an induction motor, especially at nascent stage has become inevitable and captious to avoid unexpected shut down of the industrial process. Many researchers have concentrated on various monitoring techniques including vibration, temperature, chemical and current monitoring. In this paper, an improved bearing fault detection using motor current signature analysis (MCSA) has been presented. In the proposed work, the bearing fault signature is extracted from stator current using improved Wiener filter cancellation. Performance of Wiener filter is improved using two stage process. The side band effects of filter is removed using Kaiser window and the higher order noise due to filtering process is removed with wavelet de-noising technique. Different categories of bearing failures are examined with and without de-nosing using pre-fault component cancellation (noise cancellation). Moreover, fault indexing based on standard deviation (SD) and energy (E) value of noise canceled stator current is proposed. The proposed bearing fault detection topology is examined using simulations and experiments on a 2HP induction motor under different load condition.
{"title":"Investigation of bearing faults in three phase induction motor using wavelet de-noising with improved Wiener filtering","authors":"K. Kompella, S. Rayapudi, Naga Sreenivasu Rongala","doi":"10.1504/ijpec.2020.10034461","DOIUrl":"https://doi.org/10.1504/ijpec.2020.10034461","url":null,"abstract":"Bearing fault diagnosis in an induction motor, especially at nascent stage has become inevitable and captious to avoid unexpected shut down of the industrial process. Many researchers have concentrated on various monitoring techniques including vibration, temperature, chemical and current monitoring. In this paper, an improved bearing fault detection using motor current signature analysis (MCSA) has been presented. In the proposed work, the bearing fault signature is extracted from stator current using improved Wiener filter cancellation. Performance of Wiener filter is improved using two stage process. The side band effects of filter is removed using Kaiser window and the higher order noise due to filtering process is removed with wavelet de-noising technique. Different categories of bearing failures are examined with and without de-nosing using pre-fault component cancellation (noise cancellation). Moreover, fault indexing based on standard deviation (SD) and energy (E) value of noise canceled stator current is proposed. The proposed bearing fault detection topology is examined using simulations and experiments on a 2HP induction motor under different load condition.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809570","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 : 2021-01-01DOI: 10.1504/IJPEC.2021.10038608
S. Sahnoun, Y. Errami, A. Obbadi
{"title":"An improved control of grid integrated doubly fed induction generator","authors":"S. Sahnoun, Y. Errami, A. Obbadi","doi":"10.1504/IJPEC.2021.10038608","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10038608","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809237","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 : 2021-01-01DOI: 10.1504/IJPEC.2021.10035706
Prakruti Shah, B. Mehta
{"title":"Mitigation of grid connected distributed solar photovoltaic fluctuations using battery energy storage station and microgrid","authors":"Prakruti Shah, B. Mehta","doi":"10.1504/IJPEC.2021.10035706","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10035706","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809170","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 : 2021-01-01DOI: 10.1504/IJPEC.2021.10036143
M. Jamil, T. Bhattacharjee
{"title":"Power quality improvement of grid integrated distributed energy resource inverter","authors":"M. Jamil, T. Bhattacharjee","doi":"10.1504/IJPEC.2021.10036143","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10036143","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809181","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 : 2021-01-01DOI: 10.1504/ijpec.2021.10040143
Z. Nayem, Sajal Kumar Das, F. Badal, S. Sarker
{"title":"Robust design of high performance controller for transient stability enhancement of a single machine infinite bus power system","authors":"Z. Nayem, Sajal Kumar Das, F. Badal, S. Sarker","doi":"10.1504/ijpec.2021.10040143","DOIUrl":"https://doi.org/10.1504/ijpec.2021.10040143","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809364","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 : 2020-06-04DOI: 10.1504/ijpec.2020.10027381
I. Majumder, R. Bisoi, N. Nayak, N. Hannoon
This paper proposes empirical mode decomposition (EMD)-based robust kernel extreme learning machine (RKELM) to achieve a precise predicted value of solar power generation in a smart grid environment. The non-stationary historical solar power data is initially decomposed into various intrinsic mode functions (IMFs) using EMD, which are subsequently passed through the proposed robust Morlet wavelet kernel extreme learning machine (RWKELM) for solar power prediction at different time horizons. Further a reduced kernel matrix version of RWKELM is used to decrease the training time significantly without appreciable loss of forecasting accuracy. By implementing the real time data for validation of the proposed method for short term solar power prediction it can be observed that the proposed EMD-based RWKELM outperforms various other methods, in terms of different performance matrices and execution time. The solar power prediction results on experimental data show the lowest error which proves the highest prediction accuracy.
{"title":"Solar power forecasting using robust kernel extreme learning machine and decomposition methods","authors":"I. Majumder, R. Bisoi, N. Nayak, N. Hannoon","doi":"10.1504/ijpec.2020.10027381","DOIUrl":"https://doi.org/10.1504/ijpec.2020.10027381","url":null,"abstract":"This paper proposes empirical mode decomposition (EMD)-based robust kernel extreme learning machine (RKELM) to achieve a precise predicted value of solar power generation in a smart grid environment. The non-stationary historical solar power data is initially decomposed into various intrinsic mode functions (IMFs) using EMD, which are subsequently passed through the proposed robust Morlet wavelet kernel extreme learning machine (RWKELM) for solar power prediction at different time horizons. Further a reduced kernel matrix version of RWKELM is used to decrease the training time significantly without appreciable loss of forecasting accuracy. By implementing the real time data for validation of the proposed method for short term solar power prediction it can be observed that the proposed EMD-based RWKELM outperforms various other methods, in terms of different performance matrices and execution time. The solar power prediction results on experimental data show the lowest error which proves the highest prediction accuracy.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42660016","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 : 2020-03-20DOI: 10.1504/IJPEC.2020.10027800
Ngoc Thuy Pham, T. D. Le, V. Tran, Nho-Van Nguyen
This paper proposes a novel Stator Current Model Reference Adaptive System based scheme using neural network (NNSM_SC_MRAS) for sensorless controlled of Six-Phase Induction Motor (SPIM) drives. For this scheme, the measured stator current components are used as the reference model and a two layer linear NN stator current observer is used as an adaptive model. The voltage model (VM) rotor flux identifier with value of stator resistor is update online is used to provide the rotor flux for the adaptive model, this helps to overcome the instability problem and enhance the performance of the observer. Especially, In order to eliminate the drift problems, the pure integrator of VM is replaced with a first-order low-pass filter, and the error due to this replacement is also compensated in proposed scheme. Simulation results have demonstrated that the performance of the proposed observer is significantly improved especially at low and near zero speed range.
{"title":"Sensorless control based on the improved VM NN SC MRAS method for high performance SPIM drives using LPF","authors":"Ngoc Thuy Pham, T. D. Le, V. Tran, Nho-Van Nguyen","doi":"10.1504/IJPEC.2020.10027800","DOIUrl":"https://doi.org/10.1504/IJPEC.2020.10027800","url":null,"abstract":"This paper proposes a novel Stator Current Model Reference Adaptive System based scheme using neural network (NNSM_SC_MRAS) for sensorless controlled of Six-Phase Induction Motor (SPIM) drives. For this scheme, the measured stator current components are used as the reference model and a two layer linear NN stator current observer is used as an adaptive model. The voltage model (VM) rotor flux identifier with value of stator resistor is update online is used to provide the rotor flux for the adaptive model, this helps to overcome the instability problem and enhance the performance of the observer. Especially, In order to eliminate the drift problems, the pure integrator of VM is replaced with a first-order low-pass filter, and the error due to this replacement is also compensated in proposed scheme. Simulation results have demonstrated that the performance of the proposed observer is significantly improved especially at low and near zero speed range.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44513114","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 : 2020-03-20DOI: 10.1504/ijpec.2020.10027247
S. Karimi, K. Gholami, M. Rizwan
The efficient operation of power system is utmost important for reliable power supply to customers. Compensators such as the distributed generation (DG) and power electronics-based devices play the major roles in this regard. In this paper, two kinds of compensators, DG and unified power quality conditioner (UPQC), are allocated to minimize the real power loss and improve voltage indices. In order to achieve this purpose, the loss sensitivity factor (LSF) is utilized to find the specific nodes for the DG and UPQC and then the firefly algorithm (FA) is used to find the sizing and location of DG and UPQC among the estimated nodes. The proposed work is accomplished on IEEE 34 and 69-bus systems. Obtained results are compared with other existing approaches and found better. It is reveal that the proposed approach is effective for the optimal sizing and placement of custom devices with DG simultaneously.
{"title":"Optimal sizing and placement of the UPQC and DG simultaneously based on sensitivity analysis and firefly algorithm","authors":"S. Karimi, K. Gholami, M. Rizwan","doi":"10.1504/ijpec.2020.10027247","DOIUrl":"https://doi.org/10.1504/ijpec.2020.10027247","url":null,"abstract":"The efficient operation of power system is utmost important for reliable power supply to customers. Compensators such as the distributed generation (DG) and power electronics-based devices play the major roles in this regard. In this paper, two kinds of compensators, DG and unified power quality conditioner (UPQC), are allocated to minimize the real power loss and improve voltage indices. In order to achieve this purpose, the loss sensitivity factor (LSF) is utilized to find the specific nodes for the DG and UPQC and then the firefly algorithm (FA) is used to find the sizing and location of DG and UPQC among the estimated nodes. The proposed work is accomplished on IEEE 34 and 69-bus systems. Obtained results are compared with other existing approaches and found better. It is reveal that the proposed approach is effective for the optimal sizing and placement of custom devices with DG simultaneously.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44342204","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 : 2020-03-05DOI: 10.1504/ijpec.2020.10027376
K. V. Kumar, V. Ganesh
The main objective of presented article is here to focus how efficiently minimise the deviations in frequency and area control error caused by load fluctuations and uncertainties in load under the deregulated power system. This work is carried out to eliminate the frequency errors by using fractional order proportional integral (FOPI) controller under deregulated environment by considering the effect of one possible bilateral contract scenario. Because of system nonlinearities, uncertainties and continuously fluctuant load demand the design of these controllers is quite complicated in deregulated environment. The proposed work is to enhance the system parameters like transmitted line power, frequency deviation error, and area control error (ACE) using fractional order PI controller for hydro-thermal system and thermal-thermal system under deregulated environment. The results have been analysed with classical integer order PI controller and FOPI controller. It is observed that the efficacy of the results is satisfied and improved when compared with previous work.
{"title":"Design of fractional order proportional integral controller for load frequency control of multi area power system under deregulated environment","authors":"K. V. Kumar, V. Ganesh","doi":"10.1504/ijpec.2020.10027376","DOIUrl":"https://doi.org/10.1504/ijpec.2020.10027376","url":null,"abstract":"The main objective of presented article is here to focus how efficiently minimise the deviations in frequency and area control error caused by load fluctuations and uncertainties in load under the deregulated power system. This work is carried out to eliminate the frequency errors by using fractional order proportional integral (FOPI) controller under deregulated environment by considering the effect of one possible bilateral contract scenario. Because of system nonlinearities, uncertainties and continuously fluctuant load demand the design of these controllers is quite complicated in deregulated environment. The proposed work is to enhance the system parameters like transmitted line power, frequency deviation error, and area control error (ACE) using fractional order PI controller for hydro-thermal system and thermal-thermal system under deregulated environment. The results have been analysed with classical integer order PI controller and FOPI controller. It is observed that the efficacy of the results is satisfied and improved when compared with previous work.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44916410","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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