Pub Date : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230558
M. Waghmare, B. Umre, M. Aware, Anup Kumar, Shubhangi A. Yerkal
Single-phase to Three-phase Multilevel Matrix Converter ($1times 3 mathrm{M}^{2}mathrm{C}$) is presented in this paper. This converter connects a single-phase supply to a three-phase load directly with absence of any energy storage device (battery) or any heavy dc-link capacitor. The whole system promises the characteristics of the conventional matrix converter like balance operation and unity power factor (UPF). For analysis purpose a three-phase induction motor is modeled in simulation environment supplied by $1times 3 mathrm{M}^{2}mathrm{C}$>. The $1times 3 mathrm{M}^{2}mathrm{C}$> consists of source side current source rectifier (CSR), and load side three-phase three-level diode clamped inverter (3L-DCI). Complete modulation scheme to control the CSR and multilevel 3L-DCI in decoupled manner in order to simplify complexities of modulation of the $1times 3 mathrm{M}^{2}mathrm{C}$> is presented in this paper. The performance of $1times 3 mathrm{M}^{2}mathrm{C}$> driven three-phase induction motor is analyzed in MATLAB/Simulink environment and compared it with two level matrix converter with valid results are also given in the paper.
{"title":"Single-phase to Three-phase Multilevel Matrix Converter ($1times 3 mathrm{M}^{2}mathrm{C}$) for Induction Motor Drive","authors":"M. Waghmare, B. Umre, M. Aware, Anup Kumar, Shubhangi A. Yerkal","doi":"10.1109/POWERCON48463.2020.9230558","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230558","url":null,"abstract":"Single-phase to Three-phase Multilevel Matrix Converter ($1times 3 mathrm{M}^{2}mathrm{C}$) is presented in this paper. This converter connects a single-phase supply to a three-phase load directly with absence of any energy storage device (battery) or any heavy dc-link capacitor. The whole system promises the characteristics of the conventional matrix converter like balance operation and unity power factor (UPF). For analysis purpose a three-phase induction motor is modeled in simulation environment supplied by $1times 3 mathrm{M}^{2}mathrm{C}$>. The $1times 3 mathrm{M}^{2}mathrm{C}$> consists of source side current source rectifier (CSR), and load side three-phase three-level diode clamped inverter (3L-DCI). Complete modulation scheme to control the CSR and multilevel 3L-DCI in decoupled manner in order to simplify complexities of modulation of the $1times 3 mathrm{M}^{2}mathrm{C}$> is presented in this paper. The performance of $1times 3 mathrm{M}^{2}mathrm{C}$> driven three-phase induction motor is analyzed in MATLAB/Simulink environment and compared it with two level matrix converter with valid results are also given in the paper.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124545643","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230566
Veerabrahmam Bathini, R. Nagaraja, K. Parthasarathy
In this paper, an accurate and efficient voltage-behind-reactance induction machine model based on shifted frequency analysis for electromagnetic transients-type simulation is presented. The proposed machine model has a constant equivalent admittance matrix for direct machine-network interface hence expensive re-formulation and re-factorization of network admittance matrix for every integration time step is eliminated. Moreover, to achieve higher degree of accuracy an iterative procedure option is included. A number of case studies were conducted and results demonstrate the superiority of proposed model over traditional time domain models.
{"title":"An Accurate and Efficient Voltage Behind Reactance Induction Machine Model based on Shifted Frequency Analysis","authors":"Veerabrahmam Bathini, R. Nagaraja, K. Parthasarathy","doi":"10.1109/POWERCON48463.2020.9230566","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230566","url":null,"abstract":"In this paper, an accurate and efficient voltage-behind-reactance induction machine model based on shifted frequency analysis for electromagnetic transients-type simulation is presented. The proposed machine model has a constant equivalent admittance matrix for direct machine-network interface hence expensive re-formulation and re-factorization of network admittance matrix for every integration time step is eliminated. Moreover, to achieve higher degree of accuracy an iterative procedure option is included. A number of case studies were conducted and results demonstrate the superiority of proposed model over traditional time domain models.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127983765","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230659
Inam Ullah Khan, N. Javaid, C. J. Taylor, Kelum A. A Gamage, Xiandong Ma
This work focuses on implementing the optimal power flow (OPF) problem, considering wind, solar and hydropower generation in the system. The stochastic nature of renewable energy sources (RES) is modelled using Weibull, Lognormal and Gumbel probability density functions. The system-wide economic aspect is examined with additional cost functions such as penalty and reserve costs for under and overestimating the imbalance of RES power outputs. Also, a carbon tax is imposed on carbon emissions as a separate objective function to enhance the contribution of green energy. For solving the optimization problem, a simple and efficient augmentation to the basic grey wolf optimization (GWO) algorithm is proposed, in order to enhance the algorithm's exploration capabilities. The performance of the new augmented GWO (AGWO) approach, in terms of robustness and scalability, is confirmed on IEEE-30, 57 and 118 bus systems. The obtained results of the AGWO algorithm are compared with modern heuristic techniques for a case of OPF incorporating RES. Numerical simulations indicate that the proposed method has better exploration and exploitation capabilities to reduce operational costs and carbon emissions.
{"title":"Optimal Power Flow Solution with Uncertain RES using Augmented Grey Wolf Optimzation","authors":"Inam Ullah Khan, N. Javaid, C. J. Taylor, Kelum A. A Gamage, Xiandong Ma","doi":"10.1109/POWERCON48463.2020.9230659","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230659","url":null,"abstract":"This work focuses on implementing the optimal power flow (OPF) problem, considering wind, solar and hydropower generation in the system. The stochastic nature of renewable energy sources (RES) is modelled using Weibull, Lognormal and Gumbel probability density functions. The system-wide economic aspect is examined with additional cost functions such as penalty and reserve costs for under and overestimating the imbalance of RES power outputs. Also, a carbon tax is imposed on carbon emissions as a separate objective function to enhance the contribution of green energy. For solving the optimization problem, a simple and efficient augmentation to the basic grey wolf optimization (GWO) algorithm is proposed, in order to enhance the algorithm's exploration capabilities. The performance of the new augmented GWO (AGWO) approach, in terms of robustness and scalability, is confirmed on IEEE-30, 57 and 118 bus systems. The obtained results of the AGWO algorithm are compared with modern heuristic techniques for a case of OPF incorporating RES. Numerical simulations indicate that the proposed method has better exploration and exploitation capabilities to reduce operational costs and carbon emissions.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133315838","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230545
S. Thakur, J. Breslin
Blockchain become a suitable platform for peer to peer energy trade as it facilitates secure interactions among parties with trust or a mutual trusted 3rd party. However, the scalability issue of blockchains is a problem for real-time energy trade to be completed within a small time duration. In this paper, we use offline channels for blockchains to circumvent scalability problems of blockchains for peer to peer energy trade with small trade duration. We develop algorithms to find stable coalitions for energy trade using blockchain offline channels. We prove that our solution is secure against adversarial prosumer behaviors, it supports real-time trade as the algorithm is guaranteed to find and record stable coalitions before a fixed time, and the coalition structure generated by the algorithm is efficient.
{"title":"Real-time Peer to Peer Energy Trade with Blockchain Offline Channels*","authors":"S. Thakur, J. Breslin","doi":"10.1109/POWERCON48463.2020.9230545","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230545","url":null,"abstract":"Blockchain become a suitable platform for peer to peer energy trade as it facilitates secure interactions among parties with trust or a mutual trusted 3rd party. However, the scalability issue of blockchains is a problem for real-time energy trade to be completed within a small time duration. In this paper, we use offline channels for blockchains to circumvent scalability problems of blockchains for peer to peer energy trade with small trade duration. We develop algorithms to find stable coalitions for energy trade using blockchain offline channels. We prove that our solution is secure against adversarial prosumer behaviors, it supports real-time trade as the algorithm is guaranteed to find and record stable coalitions before a fixed time, and the coalition structure generated by the algorithm is efficient.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130358362","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 : 2020-09-14DOI: 10.1109/powercon48463.2020
{"title":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","authors":"","doi":"10.1109/powercon48463.2020","DOIUrl":"https://doi.org/10.1109/powercon48463.2020","url":null,"abstract":"","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123651815","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230572
Duncan Maina, S. Shirzadi, S. Al-sachit, Leo Liu, N. Nair
With the growing number of disasters, it is necessary not only to consider their effects on the electricity network infrastructure but also on the recovery strategies to be applied. The term resilience covers a wide range of time-bound activities ranging from disaster progression to infrastructure recovery. NZ lies on the Australia and Pacific plate boundary commonly referred to as the Alpine Fault (AF). It ruptures on average every 300 years and the last time it ruptured was 1717 thus its probability to rupture in the foreseeable future is high. This study presents results on a study conducted on the impact of AF earthquake of magnitude 7.9 (AF8) onto one of the local distribution networks that lie on the fault line. 2 sections of the study will be summarized in this paper: Mapping of AF8 onto the electricity infrastructure and re-energization analysis in formation of a microgrid. A simple damage analysis has been undertaken based on assuming the component fragility functions to be binary and disaster level to be a spread of MMI levels. Different trajectories of the earthquake are considered. With regards to re-energization, a small hydro power plant (SHPP) with the capability of blackstart, is used to re-energize the network. Detailed models of the network components have been included in order to obtain an accurate response. Re-energization of the different components assuming a particular restoration sequence is shown. MATLAB/SIMULINK has been used as the simulation platform due to its flexibility in modelling.
{"title":"Electricity Distribution Resilience Assessment for Potential Seismic Event in New Zealand","authors":"Duncan Maina, S. Shirzadi, S. Al-sachit, Leo Liu, N. Nair","doi":"10.1109/POWERCON48463.2020.9230572","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230572","url":null,"abstract":"With the growing number of disasters, it is necessary not only to consider their effects on the electricity network infrastructure but also on the recovery strategies to be applied. The term resilience covers a wide range of time-bound activities ranging from disaster progression to infrastructure recovery. NZ lies on the Australia and Pacific plate boundary commonly referred to as the Alpine Fault (AF). It ruptures on average every 300 years and the last time it ruptured was 1717 thus its probability to rupture in the foreseeable future is high. This study presents results on a study conducted on the impact of AF earthquake of magnitude 7.9 (AF8) onto one of the local distribution networks that lie on the fault line. 2 sections of the study will be summarized in this paper: Mapping of AF8 onto the electricity infrastructure and re-energization analysis in formation of a microgrid. A simple damage analysis has been undertaken based on assuming the component fragility functions to be binary and disaster level to be a spread of MMI levels. Different trajectories of the earthquake are considered. With regards to re-energization, a small hydro power plant (SHPP) with the capability of blackstart, is used to re-energize the network. Detailed models of the network components have been included in order to obtain an accurate response. Re-energization of the different components assuming a particular restoration sequence is shown. MATLAB/SIMULINK has been used as the simulation platform due to its flexibility in modelling.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121301602","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230570
Juhi Datta, D. Das
In the wake of the increasing trend of microgrid technologies with high renewables integration, this paper proposes a detailed study of energy management (EM) strategy of a grid-connected microgrid to minimize the total operational cost allowing desirable power transaction with the primary distribution grid. The operational costs include the costs of the dispatchable distributed generations (DG), operational and degradation costs of the energy storage system, power transaction cost with the main grid, and maintenance cost of the non-dispatchable DGs. The distribution network operator offers variable electricity prices according to the variation in consumer demand with time. Therefore, a scenario generation and reduction method are utilized to model the uncertain attributes of renewable power generation, load demand, and electricity prices. The EM problem is carried out on a 33-bus test system, and simulation results are presented to validate the efficacy of the proposed method.
{"title":"Stochastic Energy Management of grid-connected microgrid considering battery degradation cost and renewables penetration","authors":"Juhi Datta, D. Das","doi":"10.1109/POWERCON48463.2020.9230570","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230570","url":null,"abstract":"In the wake of the increasing trend of microgrid technologies with high renewables integration, this paper proposes a detailed study of energy management (EM) strategy of a grid-connected microgrid to minimize the total operational cost allowing desirable power transaction with the primary distribution grid. The operational costs include the costs of the dispatchable distributed generations (DG), operational and degradation costs of the energy storage system, power transaction cost with the main grid, and maintenance cost of the non-dispatchable DGs. The distribution network operator offers variable electricity prices according to the variation in consumer demand with time. Therefore, a scenario generation and reduction method are utilized to model the uncertain attributes of renewable power generation, load demand, and electricity prices. The EM problem is carried out on a 33-bus test system, and simulation results are presented to validate the efficacy of the proposed method.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116273178","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230562
N. Hadiya, F. Teotia, R. Bhakar, Parul Mathuria, A. Datta
Increasing environmental concerns have driven the adoption of clean energy sources at the local power system level. However, it is also the cost-economics that has led to the rise in bulk-power system-level participation of renewable energy sources like solar photovoltaic (PV). Distributed and decentralized energy systems have also emerged as an effective alternative to the centralized power system and many countries have announced target-driven policies to encourage the same. Rooftop solar PV is a popular form of distributed generation that has huge potential in facilitating local demand-supply balance and ensuring energy security. However, the true value of rooftop solar energy is not well discovered and enjoyed by both the consumers and the utilities and hence the rooftop solar PV penetration level has not risen significantly, particularly in India, which has an ambitious target of 40 GWp to be achieved by 2022. One of the possible ways to attract more consumer and utility interest in rooftop solar is to provide a fair degree of autonomy wherein the prosumers can sell their excess to their neighbors at prices determined competitively. Peer to peer (P2P) Energy Sharing is one such way of encouraging the same. However, efficient pricing mechanisms are required to enable such a framework along with effective and trust-based platforms to facilitate and manage the trading process. This paper discusses three of such pricing mechanisms - Mid-market rate, bill-sharing, and demand-supply ratio and benchmarks their performances against coalition game-theory based method which is best suited to model such a scenario. These have been compared on various performance indices for an institutional setup in India.
{"title":"A Comparative Analysis of Pricing Mechanisms to Enable P2P Energy Sharing of Rooftop Solar Energy","authors":"N. Hadiya, F. Teotia, R. Bhakar, Parul Mathuria, A. Datta","doi":"10.1109/POWERCON48463.2020.9230562","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230562","url":null,"abstract":"Increasing environmental concerns have driven the adoption of clean energy sources at the local power system level. However, it is also the cost-economics that has led to the rise in bulk-power system-level participation of renewable energy sources like solar photovoltaic (PV). Distributed and decentralized energy systems have also emerged as an effective alternative to the centralized power system and many countries have announced target-driven policies to encourage the same. Rooftop solar PV is a popular form of distributed generation that has huge potential in facilitating local demand-supply balance and ensuring energy security. However, the true value of rooftop solar energy is not well discovered and enjoyed by both the consumers and the utilities and hence the rooftop solar PV penetration level has not risen significantly, particularly in India, which has an ambitious target of 40 GWp to be achieved by 2022. One of the possible ways to attract more consumer and utility interest in rooftop solar is to provide a fair degree of autonomy wherein the prosumers can sell their excess to their neighbors at prices determined competitively. Peer to peer (P2P) Energy Sharing is one such way of encouraging the same. However, efficient pricing mechanisms are required to enable such a framework along with effective and trust-based platforms to facilitate and manage the trading process. This paper discusses three of such pricing mechanisms - Mid-market rate, bill-sharing, and demand-supply ratio and benchmarks their performances against coalition game-theory based method which is best suited to model such a scenario. These have been compared on various performance indices for an institutional setup in India.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429736","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230531
S. Wshah, Reem Shadid, Yuhao Wu, Mustafa Matar, Beilei Xu, Wencheng Wu, Lei Lin, R. Elmoudi
In power systems, having accurate device models is crucial for grid reliability, availability, and resiliency. Existing model calibration methods based on mathematical approaches often lead to multiple solutions due to the ill-posed nature of the problem, which would require further interventions from the field engineers in order to select the optimal solution. In this paper, we present a novel deep-learning-based approach for model parameter calibration in power systems. Our study focused on the generator model as an example. We studied several deep-learning-based approaches including 1-D Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU), which were trained to estimate model parameters using simulated Phasor Measurement Unit (PMU) data. Quantitative evaluations showed that our proposed methods can achieve high accuracy in estimating the model parameters, i.e., achieved a 0.0079 MSE on the testing dataset. We consider these promising results to be the basis for further exploration and development of advanced tools for model validation and calibration.
{"title":"Deep Learning for Model Parameter Calibration in Power Systems","authors":"S. Wshah, Reem Shadid, Yuhao Wu, Mustafa Matar, Beilei Xu, Wencheng Wu, Lei Lin, R. Elmoudi","doi":"10.1109/POWERCON48463.2020.9230531","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230531","url":null,"abstract":"In power systems, having accurate device models is crucial for grid reliability, availability, and resiliency. Existing model calibration methods based on mathematical approaches often lead to multiple solutions due to the ill-posed nature of the problem, which would require further interventions from the field engineers in order to select the optimal solution. In this paper, we present a novel deep-learning-based approach for model parameter calibration in power systems. Our study focused on the generator model as an example. We studied several deep-learning-based approaches including 1-D Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU), which were trained to estimate model parameters using simulated Phasor Measurement Unit (PMU) data. Quantitative evaluations showed that our proposed methods can achieve high accuracy in estimating the model parameters, i.e., achieved a 0.0079 MSE on the testing dataset. We consider these promising results to be the basis for further exploration and development of advanced tools for model validation and calibration.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128754412","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230561
H. Thomas, Binu Sankar, D. Gopinath, S. S, Aryanandiny B
In the present work an effort has been made to understand the effect of nanofillers on service aged transformer oil. Semiconducting tin oxide nanoparticles were dispersed into aged transformer oil samples with a weight percentage of 0.01% using magnetic stirring and sonication processes. The breakdown voltage of tin oxide filled aged oil samples were measured and compared with unfilled sample. In addition to this fluorescent spectroscopic analysis were done to understand the degradation in aged transformer oil.
{"title":"Investigation on aged transformer oil samples using Tin oxide (SnO2) nanoparticles","authors":"H. Thomas, Binu Sankar, D. Gopinath, S. S, Aryanandiny B","doi":"10.1109/POWERCON48463.2020.9230561","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230561","url":null,"abstract":"In the present work an effort has been made to understand the effect of nanofillers on service aged transformer oil. Semiconducting tin oxide nanoparticles were dispersed into aged transformer oil samples with a weight percentage of 0.01% using magnetic stirring and sonication processes. The breakdown voltage of tin oxide filled aged oil samples were measured and compared with unfilled sample. In addition to this fluorescent spectroscopic analysis were done to understand the degradation in aged transformer oil.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126394757","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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