Pub Date : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375666
V. Rani, J. Sridevi, P. Sai
Security is a major thing to focus on during this modern era as it is very important to secure your surroundings for the well being of oneself and his family, But there are many drawbacks of using conventional security surveillance cameras as they have to be set in a particular angle for good visual and they do not cover a large area, conventional security cameras can only be used from a particular device and cannot alert the user during an unforeseen circumstance. Hence we require a much more efficient device for better security a web controlled surveillance robot is much more practical device to be used compared to conventional security surveillance, this system needs a single camera to perform its operation and the user can monitor a wide range of area, any device with a wireless connection to the internet can be used to operate this device. This robot can move to any location within the range of the network and can be accessed globally from anywhere and as it uses only one camera to secure a large area it is also cost-efficient. At the core of the system lies Raspberry-pi which is responsible for all the operation of the system and the size of the device can be engineered according to the area it is to be used.
{"title":"Web Controlled Raspberry Pi Robot Surveillance","authors":"V. Rani, J. Sridevi, P. Sai","doi":"10.1109/SeFet48154.2021.9375666","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375666","url":null,"abstract":"Security is a major thing to focus on during this modern era as it is very important to secure your surroundings for the well being of oneself and his family, But there are many drawbacks of using conventional security surveillance cameras as they have to be set in a particular angle for good visual and they do not cover a large area, conventional security cameras can only be used from a particular device and cannot alert the user during an unforeseen circumstance. Hence we require a much more efficient device for better security a web controlled surveillance robot is much more practical device to be used compared to conventional security surveillance, this system needs a single camera to perform its operation and the user can monitor a wide range of area, any device with a wireless connection to the internet can be used to operate this device. This robot can move to any location within the range of the network and can be accessed globally from anywhere and as it uses only one camera to secure a large area it is also cost-efficient. At the core of the system lies Raspberry-pi which is responsible for all the operation of the system and the size of the device can be engineered according to the area it is to be used.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129342376","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375644
G. R. Yadav, E. Muneender, M. Santhosh
Accurate wind speed prediction is a essential for enhanced wind energy integration with grid. A hybrid forecasting model is implemented to improve prediction accuracy. Decomposition technique is utilized to separate the input training wind speed data into intrinsic mode functions (IMFs). Deep neural network is used for the feature learning from each sub-series signal. Thus, the developed approach is tested with National Institute of Wind Energy (NIWE) dataset. Experimental evaluation in terms of statistical indices confirms that proposed hybrid model outperforms the existing benchmark approaches.
{"title":"Wind speed prediction using hybrid long short-term memory neural network based approach","authors":"G. R. Yadav, E. Muneender, M. Santhosh","doi":"10.1109/SeFet48154.2021.9375644","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375644","url":null,"abstract":"Accurate wind speed prediction is a essential for enhanced wind energy integration with grid. A hybrid forecasting model is implemented to improve prediction accuracy. Decomposition technique is utilized to separate the input training wind speed data into intrinsic mode functions (IMFs). Deep neural network is used for the feature learning from each sub-series signal. Thus, the developed approach is tested with National Institute of Wind Energy (NIWE) dataset. Experimental evaluation in terms of statistical indices confirms that proposed hybrid model outperforms the existing benchmark approaches.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133167718","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375723
Harikrishna Muda
The detection of islanding events in a microgrid is a problematic issue. In this paper, four angle variations of superimposed sequence components are derived, and a new technique is proposed using the highest aggregate votes. Space vector transform is applied to decompose positive sequences and negative sequences from power signals. From the pre-state and post-state information, mathematical relationships of superimposed components are generated, and angle variation in between the superimposed component and pre-event component of each sequence is computed. This technique identifies the islanding state, even under perfectly power match conditions without the threshold setting, and hence overcomes the non-detection zone (NDZ) problem. Also, the non-islanding states such as the variable fault resistance, single-pole tripping, recloser operation, non-linear loads, and reconnection of the DEU are addressed. The proposed technique is verified using the thirteen bus microgrid simulation model in a real-time digital environment. The proposed technique is found to be fast and accurate on the change in source capacity, location, and type of DEU.
{"title":"Voting Technique for Islanding Detection in Microgrid Using Superimposed Angle Variations","authors":"Harikrishna Muda","doi":"10.1109/SeFet48154.2021.9375723","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375723","url":null,"abstract":"The detection of islanding events in a microgrid is a problematic issue. In this paper, four angle variations of superimposed sequence components are derived, and a new technique is proposed using the highest aggregate votes. Space vector transform is applied to decompose positive sequences and negative sequences from power signals. From the pre-state and post-state information, mathematical relationships of superimposed components are generated, and angle variation in between the superimposed component and pre-event component of each sequence is computed. This technique identifies the islanding state, even under perfectly power match conditions without the threshold setting, and hence overcomes the non-detection zone (NDZ) problem. Also, the non-islanding states such as the variable fault resistance, single-pole tripping, recloser operation, non-linear loads, and reconnection of the DEU are addressed. The proposed technique is verified using the thirteen bus microgrid simulation model in a real-time digital environment. The proposed technique is found to be fast and accurate on the change in source capacity, location, and type of DEU.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128196002","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375717
U. Qureshi, A. Ghosh, B. K. Panigrahi
Charging of electric vehicle in an uncontrolled manner can seriously impact the power distribution grid and make the large scale adoption of electric mobility non viable. In this paper we propose an online charging discharging decision sequence for electric vehicles in a commercial charging station to minimize the overall cost of charging the electric vehicles while satisfying the number of constraints. The control problem has been formulated as a multi-objective optimization problem, which aims to reduce the cost of charging the electric vehicles, reducing the frequent change in charging rates, flattening the load profile subject to equality and inequality constrains of the chargers and the grid. The decision sequence is capable of handling both the homogeneous as well as heterogeneous charging requirements with random arrival times and deadlines. The problem is transformed to a convex optimization problem which can be solved using any standard convex optimization toolbox. We empirically demonstrate that our proposed decision reduces the cost of charging and frequent changes in charging rates while reducing the peak loading on the grid.
{"title":"Real-Time Control for Charging Discharging of Electric Vehicles in a Charging Station with Renewable Generation and Battery Storage","authors":"U. Qureshi, A. Ghosh, B. K. Panigrahi","doi":"10.1109/SeFet48154.2021.9375717","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375717","url":null,"abstract":"Charging of electric vehicle in an uncontrolled manner can seriously impact the power distribution grid and make the large scale adoption of electric mobility non viable. In this paper we propose an online charging discharging decision sequence for electric vehicles in a commercial charging station to minimize the overall cost of charging the electric vehicles while satisfying the number of constraints. The control problem has been formulated as a multi-objective optimization problem, which aims to reduce the cost of charging the electric vehicles, reducing the frequent change in charging rates, flattening the load profile subject to equality and inequality constrains of the chargers and the grid. The decision sequence is capable of handling both the homogeneous as well as heterogeneous charging requirements with random arrival times and deadlines. The problem is transformed to a convex optimization problem which can be solved using any standard convex optimization toolbox. We empirically demonstrate that our proposed decision reduces the cost of charging and frequent changes in charging rates while reducing the peak loading on the grid.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131198658","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375703
H. Bouchekhou, H. Allag, A. Hamane
In this work, in goal to observe the specific characteristics of high temperature superconducting (HTS) bulk dedicated to electric transport applications, we developed new approach based on induced currents calculation using bi-dimensional magnetically coupled elements method. The currents distributions in the HTS bulk are calculated using the puissance law model and the resistivity is also calculated with the Ohm's law. All the system is resolved using iterative fixed-point method. The results of current densities penetration are shown for sufficiently meshed HTS bulk.
{"title":"New Considerations of Superconductor Bulk and Copper Coil Interactions: Electric Transport Applications","authors":"H. Bouchekhou, H. Allag, A. Hamane","doi":"10.1109/SeFet48154.2021.9375703","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375703","url":null,"abstract":"In this work, in goal to observe the specific characteristics of high temperature superconducting (HTS) bulk dedicated to electric transport applications, we developed new approach based on induced currents calculation using bi-dimensional magnetically coupled elements method. The currents distributions in the HTS bulk are calculated using the puissance law model and the resistivity is also calculated with the Ohm's law. All the system is resolved using iterative fixed-point method. The results of current densities penetration are shown for sufficiently meshed HTS bulk.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127920579","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375747
K. Agarwal, Dhanraj
In this paper, the issues in hardware realization of DC-DC converters interfaced with PV module for beginners are addressed and suitable rectifications are also presented. The main issues are selection of switching frequency, Selection of power switching device/s, design of robust MOSFET driver circuit, design of practical inductors, Selection of Current & voltage sensors for DC applications, Microcontroller and some important precautions related to observation and PCB design. The proposed issues and suitable rectification are made using hardware realization of MPPT guided DC-DC converters interfaced with SPV system.
{"title":"Issues in Hardware Realization of DC-DC Converters Interfaced with SPV System for Beginners","authors":"K. Agarwal, Dhanraj","doi":"10.1109/SeFet48154.2021.9375747","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375747","url":null,"abstract":"In this paper, the issues in hardware realization of DC-DC converters interfaced with PV module for beginners are addressed and suitable rectifications are also presented. The main issues are selection of switching frequency, Selection of power switching device/s, design of robust MOSFET driver circuit, design of practical inductors, Selection of Current & voltage sensors for DC applications, Microcontroller and some important precautions related to observation and PCB design. The proposed issues and suitable rectification are made using hardware realization of MPPT guided DC-DC converters interfaced with SPV system.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131288663","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375799
Gaurav Modi, Bhim Singh
A low voltage grid-tied solar PV (GSPV) system suffers from poor power quality (PQ) due to the distorted currents drawn by the loads affixed at the point of common coupling (PCC). Moreover, during the peak PV (Photovoltaic) array generation and low load condition, the PCC voltages rise beyond the prescribed limit as par the IEEE std. 1547. Hence, this work presents the control and operation of the GSPV system to satisfy the IEEE-519 and IEEE-1547 standards by improving the PQ at the PCC and to limit the rise in PCC voltages as par the specified limit, respectively. The system either works at unity power factor (UPF) mode or voltage regulation (VR) mode depending upon the PCC voltage variation. It maintains the grid currents distortionfree and balanced during its operation. Here, an in-loop filter based second-order generalized integrator (ILF-SOGI) algorithm is used to control the GSPV system. The proportional-integral (PI) based perturb and observe (P&O) algorithm is used to maximize the efficiency of the GSPV system. A simulation study is carried out in MATLAB environment for performance validation of the presented GSPV system.
{"title":"Control of Low Voltage Grid-Tied Solar PV System","authors":"Gaurav Modi, Bhim Singh","doi":"10.1109/SeFet48154.2021.9375799","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375799","url":null,"abstract":"A low voltage grid-tied solar PV (GSPV) system suffers from poor power quality (PQ) due to the distorted currents drawn by the loads affixed at the point of common coupling (PCC). Moreover, during the peak PV (Photovoltaic) array generation and low load condition, the PCC voltages rise beyond the prescribed limit as par the IEEE std. 1547. Hence, this work presents the control and operation of the GSPV system to satisfy the IEEE-519 and IEEE-1547 standards by improving the PQ at the PCC and to limit the rise in PCC voltages as par the specified limit, respectively. The system either works at unity power factor (UPF) mode or voltage regulation (VR) mode depending upon the PCC voltage variation. It maintains the grid currents distortionfree and balanced during its operation. Here, an in-loop filter based second-order generalized integrator (ILF-SOGI) algorithm is used to control the GSPV system. The proportional-integral (PI) based perturb and observe (P&O) algorithm is used to maximize the efficiency of the GSPV system. A simulation study is carried out in MATLAB environment for performance validation of the presented GSPV system.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129484641","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375656
A. S. L. K. Gopalamma, R. Naik
Like the Immune system in humans, suitable design for earthing system sustains under severe abnormal conditions. In general, the Impedance at power frequency or low-frequency range equals to only resistance. The value of resistance should be low enough to handle the critical current flowing. Accuracy and sensitivity of a system depend on the resiliency after the fault. In this paper, we Proposed the Mathematical model of the objective function with two Inequality Constraints, such as critical length and spacing between Conductors and results incorporated accordingly using MATLAB Environment. Design of Low frequency earthing under dynamic Soil characteristics explained. This study elaborates the role of impulse resistance, Critical length, and spacing between vertical rods under low-frequency conditions. The objective function (Grid resistance) Minimized using metaheuristic Techniques such as Ray Optimization Algorithm (RAO), Vibration Particle Search Algorithm(VPSA).
{"title":"Low-Frequency Earthing Design under Dynamic soil characteristics using Metaheuristic Techniques","authors":"A. S. L. K. Gopalamma, R. Naik","doi":"10.1109/SeFet48154.2021.9375656","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375656","url":null,"abstract":"Like the Immune system in humans, suitable design for earthing system sustains under severe abnormal conditions. In general, the Impedance at power frequency or low-frequency range equals to only resistance. The value of resistance should be low enough to handle the critical current flowing. Accuracy and sensitivity of a system depend on the resiliency after the fault. In this paper, we Proposed the Mathematical model of the objective function with two Inequality Constraints, such as critical length and spacing between Conductors and results incorporated accordingly using MATLAB Environment. Design of Low frequency earthing under dynamic Soil characteristics explained. This study elaborates the role of impulse resistance, Critical length, and spacing between vertical rods under low-frequency conditions. The objective function (Grid resistance) Minimized using metaheuristic Techniques such as Ray Optimization Algorithm (RAO), Vibration Particle Search Algorithm(VPSA).","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128647476","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375752
D. Kumar, A. Ganesh, D. S. Naga Malleswara Rao
This paper proposed an asymmetric inverter, which can give the required output from the asymmetrical DC sources. A very less number of semiconductor switching devices is used for the proposed asymmetric inverter which reduces size, switch losses, and improves system efficiency. This inverter is operated by the SHEPWM system of low-frequency switches. The SHEPWM can conveniently eliminate the selected harmonics in the output of the inverter; this further improves the output voltage profile and efficiency. To optimize the witching angles of the SHEPWM MLI for eliminate higher order harmonics, the Particle Swarm optimization algorithm (PSO) & WHALE optimization algorithms are used. The simulation results are compared for THD performance of both the algorithms.
{"title":"Design and Analysis of a Novel Cascaded 15-Level Asymmetric Inverter Using PSO and Whale Algorithms","authors":"D. Kumar, A. Ganesh, D. S. Naga Malleswara Rao","doi":"10.1109/SeFet48154.2021.9375752","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375752","url":null,"abstract":"This paper proposed an asymmetric inverter, which can give the required output from the asymmetrical DC sources. A very less number of semiconductor switching devices is used for the proposed asymmetric inverter which reduces size, switch losses, and improves system efficiency. This inverter is operated by the SHEPWM system of low-frequency switches. The SHEPWM can conveniently eliminate the selected harmonics in the output of the inverter; this further improves the output voltage profile and efficiency. To optimize the witching angles of the SHEPWM MLI for eliminate higher order harmonics, the Particle Swarm optimization algorithm (PSO) & WHALE optimization algorithms are used. The simulation results are compared for THD performance of both the algorithms.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128956624","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375685
Asadur Rahman, L. Saikia, Yatin Sharma
Automatic generation control is exhibited for multi-area hybrid solar-hydro-thermal system. Hybrid power system comprises of conventional thermal and solar thermal system in area 1. Conventional thermal system and hydro system with electric governor are positioned in area 2 and area 3 respectively. The conventional thermal systems are provided with single reheat turbine. Suitable generation rate constraint is provided in both hydro and thermal systems. The system dynamics with and without solar thermal are evaluated separately, considering conventional secondary controllers. Grey wolf optimizer (GWO) evolutionary computational technique is applied to simultaneously optimize the controller gains. Analyses reveal that system responses, with and without solar thermal, for PID controller are improved in comparison to other controllers. Investigation infers that the responses with reference to the hybrid system are enhanced with faster settling time and lesser deviation as compared to the system in absence of solar thermal. Wide variation in system conditions and parameters does not require resetting of GWO optimized PID controller gains. Robustness analysis authorizes the healthiness of GWO optimized PID controller gains found at nominal system condition.
{"title":"AGC of Hybrid Power System with Grey Wolf optimizer Based Conventional Secondary Controllers","authors":"Asadur Rahman, L. Saikia, Yatin Sharma","doi":"10.1109/SeFet48154.2021.9375685","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375685","url":null,"abstract":"Automatic generation control is exhibited for multi-area hybrid solar-hydro-thermal system. Hybrid power system comprises of conventional thermal and solar thermal system in area 1. Conventional thermal system and hydro system with electric governor are positioned in area 2 and area 3 respectively. The conventional thermal systems are provided with single reheat turbine. Suitable generation rate constraint is provided in both hydro and thermal systems. The system dynamics with and without solar thermal are evaluated separately, considering conventional secondary controllers. Grey wolf optimizer (GWO) evolutionary computational technique is applied to simultaneously optimize the controller gains. Analyses reveal that system responses, with and without solar thermal, for PID controller are improved in comparison to other controllers. Investigation infers that the responses with reference to the hybrid system are enhanced with faster settling time and lesser deviation as compared to the system in absence of solar thermal. Wide variation in system conditions and parameters does not require resetting of GWO optimized PID controller gains. Robustness analysis authorizes the healthiness of GWO optimized PID controller gains found at nominal system condition.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122768108","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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