Pub Date : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085813
S. Kirmani, Ward Ul Hijaz Paul, Mudasir Bashir Bhat, Iram Akhtar, A. Siddiqui
Vehicle-to-grid technology is a fascinating research area which has attracted a large chunk of researchers from the electrical field because it improves the reliability of the power grid, reduces operating cost and greenhouse emission, helps to balance the supply and demand by its bidirectional energy transfer capability and further improves the economic viability of the electric vehicles. Electric vehicles provide mobile energy storage facility using vehicle-to-grid concept at different parking stations. In this research an IEEE 33 bus system has been considered which is connected to the main grid and wind turbines have been used as distributed energy resources with electric vehicles as storage devices to reduce the intermittency of wind power generation. Optimal locations for wind and electric vehicle integration have been obtained by using minimum voltage and maximum power loss concept, then the optimal power at the different optimal locations is found out using the particle swarm optimization technique which improves the voltage profile and reduces the power loss of the system under consideration. The discharging and the charging patterns of the electric vehicles is also decided by the same depending upon the availability of the wind power.
{"title":"Optimal Allocation of V2G Stations in a Microgrid Environment: Demand Response","authors":"S. Kirmani, Ward Ul Hijaz Paul, Mudasir Bashir Bhat, Iram Akhtar, A. Siddiqui","doi":"10.1109/PIECON56912.2023.10085813","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085813","url":null,"abstract":"Vehicle-to-grid technology is a fascinating research area which has attracted a large chunk of researchers from the electrical field because it improves the reliability of the power grid, reduces operating cost and greenhouse emission, helps to balance the supply and demand by its bidirectional energy transfer capability and further improves the economic viability of the electric vehicles. Electric vehicles provide mobile energy storage facility using vehicle-to-grid concept at different parking stations. In this research an IEEE 33 bus system has been considered which is connected to the main grid and wind turbines have been used as distributed energy resources with electric vehicles as storage devices to reduce the intermittency of wind power generation. Optimal locations for wind and electric vehicle integration have been obtained by using minimum voltage and maximum power loss concept, then the optimal power at the different optimal locations is found out using the particle swarm optimization technique which improves the voltage profile and reduces the power loss of the system under consideration. The discharging and the charging patterns of the electric vehicles is also decided by the same depending upon the availability of the wind power.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714291","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085896
Zeba Mustaqueem, Abdul Quaiyum Ansari, M. W. Akram
Memory design with low power is highly in demand wherein low supply voltages are in trend. Research is already ongoing in subthreshold region as the technique to achieve less power and energy. Researchers have made lot of efforts in finding the potential applications of memristors in different areas of engineering field right from the existence of the basic titanium oxide based memristor where few of the applications is investigated in this paper. Power reduction is one of the major advantage achieved using non-volatile memories. Another application investigated is usage of memristor in oscillator as well as digital circuits. Ability to store previous information being non-volatile, good scalability, reduced leakage, low power dissipation and compatibility of memristors with CMOS technology are the various advantages obtained in applications of memristors.
{"title":"Robust and potential applications of memristors","authors":"Zeba Mustaqueem, Abdul Quaiyum Ansari, M. W. Akram","doi":"10.1109/PIECON56912.2023.10085896","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085896","url":null,"abstract":"Memory design with low power is highly in demand wherein low supply voltages are in trend. Research is already ongoing in subthreshold region as the technique to achieve less power and energy. Researchers have made lot of efforts in finding the potential applications of memristors in different areas of engineering field right from the existence of the basic titanium oxide based memristor where few of the applications is investigated in this paper. Power reduction is one of the major advantage achieved using non-volatile memories. Another application investigated is usage of memristor in oscillator as well as digital circuits. Ability to store previous information being non-volatile, good scalability, reduced leakage, low power dissipation and compatibility of memristors with CMOS technology are the various advantages obtained in applications of memristors.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126029490","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085798
MirzaTabish Shah Beg, K. Rana, Vineet Kumar
The paper deals with an Alternate-Odd-Even (AOE) static reconfiguration technique for the power enhancement and performance improvement of the solar photovoltaic (SPV) array under partial shading conditions (PSC). The modules of the chosen 4×4 SPV array are connected electrically in a total-cross-tied (TCT) but repositioned in the SPV array using the proposed AOE reconfiguration technique. The proposed scheme is analyzed and compared with the primary 4×4 SPV array topologies, namely the total-cross-tied (TCT), honeycomb (HC), bridge-link (BL), and series-parallel (SP) for the performance analysis. This technique leads to the redistribution of shade throughout the SPV array. Due to the lower current and voltage outputs, the simple series and parallel configurations have not been considered for this analysis. The proposed technique gives an enhanced performance of the SPV array in terms of higher peak power, lower losses due to shading, improved fill factor and execution ratio, and smooth output characteristics. The proposed technique allows the researchers to design a less complex controller for tracking peak power for the SPV array under PSCs.
{"title":"An improved Alternate-Odd-Even (AOE) reconfiguration technique for performance enhancement of SPV arrays","authors":"MirzaTabish Shah Beg, K. Rana, Vineet Kumar","doi":"10.1109/PIECON56912.2023.10085798","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085798","url":null,"abstract":"The paper deals with an Alternate-Odd-Even (AOE) static reconfiguration technique for the power enhancement and performance improvement of the solar photovoltaic (SPV) array under partial shading conditions (PSC). The modules of the chosen 4×4 SPV array are connected electrically in a total-cross-tied (TCT) but repositioned in the SPV array using the proposed AOE reconfiguration technique. The proposed scheme is analyzed and compared with the primary 4×4 SPV array topologies, namely the total-cross-tied (TCT), honeycomb (HC), bridge-link (BL), and series-parallel (SP) for the performance analysis. This technique leads to the redistribution of shade throughout the SPV array. Due to the lower current and voltage outputs, the simple series and parallel configurations have not been considered for this analysis. The proposed technique gives an enhanced performance of the SPV array in terms of higher peak power, lower losses due to shading, improved fill factor and execution ratio, and smooth output characteristics. The proposed technique allows the researchers to design a less complex controller for tracking peak power for the SPV array under PSCs.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124148195","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085779
Prahlad Mundotiya, Parul Mathuria, H. Tiwari, Vikash Kumar Sharma
The economics of emerging power systems heavily depend on the subject of hydrothermal scheduling. The purpose of this article is to suggest soft computing-based enhanced particle swarm optimization techniques for dealing with short-term hydrothermal scheduling problem. The article uses a test system made up of a multi-stream cascaded system with hydro, thermal plants and wind farms, to find the best solution while taking economic and environmental considerations into account. The mathematical models applied to solve the water outflow, generating cost, and harmful emissions from the above-mentioned power plants included in the IEEE-30 Bus system. Statistics have been used to gauge the dependability and consistency of the suggested algorithm. In order to find the optimal generating schedule for conventional scheduling issue, a solution technique called robust heuristic search algorithm has been used. The developed heuristic methodology has outperformed conventional and soft computing methodology.
{"title":"Scheduling of Hydrothermal and Renewable Energy Systems Using Enhanced PSO Technique","authors":"Prahlad Mundotiya, Parul Mathuria, H. Tiwari, Vikash Kumar Sharma","doi":"10.1109/PIECON56912.2023.10085779","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085779","url":null,"abstract":"The economics of emerging power systems heavily depend on the subject of hydrothermal scheduling. The purpose of this article is to suggest soft computing-based enhanced particle swarm optimization techniques for dealing with short-term hydrothermal scheduling problem. The article uses a test system made up of a multi-stream cascaded system with hydro, thermal plants and wind farms, to find the best solution while taking economic and environmental considerations into account. The mathematical models applied to solve the water outflow, generating cost, and harmful emissions from the above-mentioned power plants included in the IEEE-30 Bus system. Statistics have been used to gauge the dependability and consistency of the suggested algorithm. In order to find the optimal generating schedule for conventional scheduling issue, a solution technique called robust heuristic search algorithm has been used. The developed heuristic methodology has outperformed conventional and soft computing methodology.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123264042","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085850
Divyanshu Khandelwal, S. Bhowmick, Shefali Painuli, R. Saha
Continuously dwindling fossil fuel reserves, high fuel costs, greenhouse gas (GHG) emissions and global warming has led to increased penetration of electric vehicles (EVs) in the transportation sector. However, EV charging increases the system load with high peak and off-peak demand ratio in the daily load profile, thereby causing increased system losses, poor bus voltages and power quality issues in power distribution systems. Adoption of a suitable electric vehicle charging policy can minimize this load profile distortion and reduce the maximum load. In this paper, a study on the charging effects of about 3000 electric vehicles in more than 800 residents is carried out on a 240-bus real distribution grid located in the Midwest U.S. Multiple case studies were carried out to investigate the profiles of the network demand and bus voltages without and with EV charging, vis-à-vis implementation of a practical PHEV charging policy. The results confirm the improvement of load and bus voltage profiles, thus validating the proposed EV charging guidelines.
{"title":"A Practical PHEV Charging Policy to Improve Performance of Power Distribution Systems","authors":"Divyanshu Khandelwal, S. Bhowmick, Shefali Painuli, R. Saha","doi":"10.1109/PIECON56912.2023.10085850","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085850","url":null,"abstract":"Continuously dwindling fossil fuel reserves, high fuel costs, greenhouse gas (GHG) emissions and global warming has led to increased penetration of electric vehicles (EVs) in the transportation sector. However, EV charging increases the system load with high peak and off-peak demand ratio in the daily load profile, thereby causing increased system losses, poor bus voltages and power quality issues in power distribution systems. Adoption of a suitable electric vehicle charging policy can minimize this load profile distortion and reduce the maximum load. In this paper, a study on the charging effects of about 3000 electric vehicles in more than 800 residents is carried out on a 240-bus real distribution grid located in the Midwest U.S. Multiple case studies were carried out to investigate the profiles of the network demand and bus voltages without and with EV charging, vis-à-vis implementation of a practical PHEV charging policy. The results confirm the improvement of load and bus voltage profiles, thus validating the proposed EV charging guidelines.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126335567","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085811
Diptish Saha, N. Bazmohammadi, Abderezak Lashab, Abderezak Lashab, J. Guerrero
The water management in a lunar base includes interaction between the In-Situ Resource Utilization (ISRU), crew habitat, and wastewater subsystems. The ISRU produces water from the lunar regolith, while the wastewater subsystem provides fresh water after filtering wastewater generated from the crew habitat. A model for lunar base water filtration and management for autonomous control is yet to be developed. This paper describes a model to manage the water considering the interaction between different water and wastewater tanks in the lunar base. A methodology to generate crew members’ water consumption and wastewater generation profiles is also discussed. The model considers the power demand of the wastewater subsystem. It is observed that the power demand of the wastewater subsystem depends on the power availability and the desired level of different water and wastewater tanks. It is concluded that to design an autonomous energy management system, the controller should be able to generate time-varying references for different water tanks and take into account the available power.
{"title":"Lunar Habitat Wastewater Subsystem Power and Water Management","authors":"Diptish Saha, N. Bazmohammadi, Abderezak Lashab, Abderezak Lashab, J. Guerrero","doi":"10.1109/PIECON56912.2023.10085811","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085811","url":null,"abstract":"The water management in a lunar base includes interaction between the In-Situ Resource Utilization (ISRU), crew habitat, and wastewater subsystems. The ISRU produces water from the lunar regolith, while the wastewater subsystem provides fresh water after filtering wastewater generated from the crew habitat. A model for lunar base water filtration and management for autonomous control is yet to be developed. This paper describes a model to manage the water considering the interaction between different water and wastewater tanks in the lunar base. A methodology to generate crew members’ water consumption and wastewater generation profiles is also discussed. The model considers the power demand of the wastewater subsystem. It is observed that the power demand of the wastewater subsystem depends on the power availability and the desired level of different water and wastewater tanks. It is concluded that to design an autonomous energy management system, the controller should be able to generate time-varying references for different water tanks and take into account the available power.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125293128","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085909
Mohd. Rizwan Khan, Md. Nasim Akhter, Mohd Sartaj
In high-power applications, including ship propulsion, aviation, military, medical device applications, and paper mills, multi-phase induction motors are used because of their enhanced torque density, fault tolerance, volume reduction, noise reduction, and current per phase. This research examines three stator supply methods for six-phase and three-phase induction motors. A six-phase inverter and multi-phase transformer conversion approach compare the harmonic behavior of six-phase and three-phase induction motors.
{"title":"Harmonics Analysis of Six-Phase Induction Motor Drive","authors":"Mohd. Rizwan Khan, Md. Nasim Akhter, Mohd Sartaj","doi":"10.1109/PIECON56912.2023.10085909","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085909","url":null,"abstract":"In high-power applications, including ship propulsion, aviation, military, medical device applications, and paper mills, multi-phase induction motors are used because of their enhanced torque density, fault tolerance, volume reduction, noise reduction, and current per phase. This research examines three stator supply methods for six-phase and three-phase induction motors. A six-phase inverter and multi-phase transformer conversion approach compare the harmonic behavior of six-phase and three-phase induction motors.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128363349","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085900
Benish Jan, Obaidur Rahman, Shaheen Parveen, S. A. Khan
Conventional Dissolved Gas Analysis (DGA) methods show a poor success rate for predicting incipient faults in oil immersed power transformers. It is because their rule foundation is entirely heuristic and non-mathematical. Artificial intelligence is employed in this work to emulate human expertise and ability in fault diagnosis. Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to implement multistage binary classification scheme to diagnose incipient faults. The published TC-10 data from the faulty oil-immersed transformers is utilized to evaluate the ANFIS models’ performance. This developed multistage binary classification technique based on ANFIS gives superior results than the single stage multi class classification. It substantially increases the diagnosis accuracy when compared to the conventional counterparts. Moreover, in this work the idea of multistage classification is conceptualized by selective hybridization of various DGA methods viz., Roger’s Ratio method, IEC-60599 and Doernenberg’s method. The steps of fault classification traverse from determining whether a fault exists or not to further determining its nature and severity. The diagnosis accuracy is significantly improved by integrating AI, binary classification, the hybridization concept and hence this technique altogether is proven as a proactive tool for online fault diagnosis in power transformers.
{"title":"Multi-Stage Binary Classification Technique for Incipient Fault Diagnosis of Oil Immersed Power Transformers Based on ANFIS","authors":"Benish Jan, Obaidur Rahman, Shaheen Parveen, S. A. Khan","doi":"10.1109/PIECON56912.2023.10085900","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085900","url":null,"abstract":"Conventional Dissolved Gas Analysis (DGA) methods show a poor success rate for predicting incipient faults in oil immersed power transformers. It is because their rule foundation is entirely heuristic and non-mathematical. Artificial intelligence is employed in this work to emulate human expertise and ability in fault diagnosis. Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to implement multistage binary classification scheme to diagnose incipient faults. The published TC-10 data from the faulty oil-immersed transformers is utilized to evaluate the ANFIS models’ performance. This developed multistage binary classification technique based on ANFIS gives superior results than the single stage multi class classification. It substantially increases the diagnosis accuracy when compared to the conventional counterparts. Moreover, in this work the idea of multistage classification is conceptualized by selective hybridization of various DGA methods viz., Roger’s Ratio method, IEC-60599 and Doernenberg’s method. The steps of fault classification traverse from determining whether a fault exists or not to further determining its nature and severity. The diagnosis accuracy is significantly improved by integrating AI, binary classification, the hybridization concept and hence this technique altogether is proven as a proactive tool for online fault diagnosis in power transformers.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375688","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085805
Siddharth Singh, Vijander Singh, A. Rani, Jyoti Yadav
PID controllers have been in use for numerous decades. Many researchers have developed and discussed their tuning methods. In this presented work, we discuss different types of tuning methods for Proportional Integral Derivative (PID) controllers. The present work also discusses about plants with delay time and their equivalent First Order Plus Time Delay (FOPDT) structure with their tuning method. Furthermore, a two-degree of freedom (2-DOF) PID controller and its tuning methods have also been discussed. Lastly, Genetic Algorithm (GA) has been employed so as to optimally tune the PID controller. The tuning methods for PID controllers have been tested. The simulations are carried out in MATLAB Simulink (2020a). The results are then recorded in tabular form and compared with classical tuning methods present in literature. Finally, the best tuning method out of the discussed methods for the plant has been concluded.
{"title":"Optimization of PID controller based on various tuning methods","authors":"Siddharth Singh, Vijander Singh, A. Rani, Jyoti Yadav","doi":"10.1109/PIECON56912.2023.10085805","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085805","url":null,"abstract":"PID controllers have been in use for numerous decades. Many researchers have developed and discussed their tuning methods. In this presented work, we discuss different types of tuning methods for Proportional Integral Derivative (PID) controllers. The present work also discusses about plants with delay time and their equivalent First Order Plus Time Delay (FOPDT) structure with their tuning method. Furthermore, a two-degree of freedom (2-DOF) PID controller and its tuning methods have also been discussed. Lastly, Genetic Algorithm (GA) has been employed so as to optimally tune the PID controller. The tuning methods for PID controllers have been tested. The simulations are carried out in MATLAB Simulink (2020a). The results are then recorded in tabular form and compared with classical tuning methods present in literature. Finally, the best tuning method out of the discussed methods for the plant has been concluded.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115111572","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 : 2023-02-10DOI: 10.1109/PIECON56912.2023.10085893
Nadeem Ahmad Ganie, Zeeshan Hayaat Rather, Zahid Farooq, A. Rahman
The need for electric-vehicle charging infrastructure (EVCI) has recently emerged with much attention due to the rapid rise in usage of electric-vehicles (EVs). Presently, small scale solar-photovoltaic (SPV) system are utilized as distributed generation, so as to reduce conventional sources dependency. This article reports the economic feasibility of SPV integrated EVCI for institutional campus of National Institute of Technology (NIT) Srinagar located in Jammu and Kashmir, India. For analysis, the design and positioning of SPV system for institute campus is carried out using web-based Helioscope. While, the complete network design and economic analysis are performed using HOMER software. The solar global horizontal irradiance for institute location is retrieved from National Renewable Energy Laboratory (NREL) USA. The load data of the institute, for year-2019 is collected from electrical maintenance and repairs (EM&R) division of NIT Srinagar. Analyses are done for three different scenarios. Scenario-1 is the base case, with power supplied only by the utility-grid. Scenario-2 integrates the SPV system in addition to the utility-grid, delivering power to the institute campus load. Finally, scenario-3 incorporates both SPV system and EVCI with EVs serving as load (due to charging EVs). Thus in scenario-3, SPV system delivers power to the institute campus load in addition to EVs charging. Revenue is generated from SPV system by selling surplus energy to the grid, and EVCI with EV charging respectively. The comparative economic analysis is carried out for the presented scenarios.
{"title":"Economic feasibility of SPV integrated EV Charging Infrastructure for NIT Srinagar Institutional Campus in J&K, India","authors":"Nadeem Ahmad Ganie, Zeeshan Hayaat Rather, Zahid Farooq, A. Rahman","doi":"10.1109/PIECON56912.2023.10085893","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085893","url":null,"abstract":"The need for electric-vehicle charging infrastructure (EVCI) has recently emerged with much attention due to the rapid rise in usage of electric-vehicles (EVs). Presently, small scale solar-photovoltaic (SPV) system are utilized as distributed generation, so as to reduce conventional sources dependency. This article reports the economic feasibility of SPV integrated EVCI for institutional campus of National Institute of Technology (NIT) Srinagar located in Jammu and Kashmir, India. For analysis, the design and positioning of SPV system for institute campus is carried out using web-based Helioscope. While, the complete network design and economic analysis are performed using HOMER software. The solar global horizontal irradiance for institute location is retrieved from National Renewable Energy Laboratory (NREL) USA. The load data of the institute, for year-2019 is collected from electrical maintenance and repairs (EM&R) division of NIT Srinagar. Analyses are done for three different scenarios. Scenario-1 is the base case, with power supplied only by the utility-grid. Scenario-2 integrates the SPV system in addition to the utility-grid, delivering power to the institute campus load. Finally, scenario-3 incorporates both SPV system and EVCI with EVs serving as load (due to charging EVs). Thus in scenario-3, SPV system delivers power to the institute campus load in addition to EVs charging. Revenue is generated from SPV system by selling surplus energy to the grid, and EVCI with EV charging respectively. The comparative economic analysis is carried out for the presented scenarios.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131060089","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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