Solar photovoltaic (PV) arrays can be assembled in a variety of ways, including Simple-Series (S-S), Parallel (P), Series-Parallel (S-P), Total-Cross-Tied (T-C-T), Bridge-Linked (B-L), and Honey-Comb (H-C). The T-C-T configuration has been observed to yield the highest power output and is less impacted by partial shading conditions (PSCs). However, this configuration also generates multiple maximum power points (MMPPs) in its output characteristics. To address this issue, PV modules are reconfigured using static and dynamic techniques. Efficient and cost-effective static reconfiguration methods, such as SuDoKU (SDK), Optimal SuDoKU (O-SDK), Improved SuDoKU (I-SDK), and Modified SuDoKU (M-SDK), are available and do not require the use of advanced equipment or controllers. This study analyzes the effectiveness of physical reconfiguration techniques under varying shading conditions, using the two-diode model of PV modules and the MATLAB/Simulink software tool. It evaluates the influence of these techniques on the maximum power output, power loss caused by mismatch, and the number of maximum power points (MPPs) in the output characteristics.
{"title":"SuDoKU based Reconfiguration Techniques to T-C-T PV Array for Enhancing the Maximum Power under Partial Shading Patterns","authors":"Emily Grace Gummadi, Suresh Mikkili, Santhosh Yedla","doi":"10.1109/ICPEE54198.2023.10060192","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060192","url":null,"abstract":"Solar photovoltaic (PV) arrays can be assembled in a variety of ways, including Simple-Series (S-S), Parallel (P), Series-Parallel (S-P), Total-Cross-Tied (T-C-T), Bridge-Linked (B-L), and Honey-Comb (H-C). The T-C-T configuration has been observed to yield the highest power output and is less impacted by partial shading conditions (PSCs). However, this configuration also generates multiple maximum power points (MMPPs) in its output characteristics. To address this issue, PV modules are reconfigured using static and dynamic techniques. Efficient and cost-effective static reconfiguration methods, such as SuDoKU (SDK), Optimal SuDoKU (O-SDK), Improved SuDoKU (I-SDK), and Modified SuDoKU (M-SDK), are available and do not require the use of advanced equipment or controllers. This study analyzes the effectiveness of physical reconfiguration techniques under varying shading conditions, using the two-diode model of PV modules and the MATLAB/Simulink software tool. It evaluates the influence of these techniques on the maximum power output, power loss caused by mismatch, and the number of maximum power points (MPPs) in the output characteristics.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115098938","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060628
Srinivasa Rao Karri, Ramesh Gugulothu, Nagu Bhookya
The interconnection of renewable energy sources with the utility grid, such as photovoltaic (PV) and fuel cells (FC), is a solution that is effective in meeting load demand on the distribution side. The rising demand for energy management systems can be attributed to the widespread use of battery energy storage systems (BESS) in the utility grid. An effective energy management system is proposed in this study for use in a PV and FC-based DC nano grid with BESS, and several operating modes are analyzed and addressed. The most important aspect of it is that it keeps the DC voltage consistent throughout the grid. With the help of the MATLAB/Simulink software tool, many simulation case studies are carried out in this research.
{"title":"Control and Energy Management of DC Nano Grid- Connected Solar PV, Fuel cell and Battery Energy Storage System","authors":"Srinivasa Rao Karri, Ramesh Gugulothu, Nagu Bhookya","doi":"10.1109/ICPEE54198.2023.10060628","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060628","url":null,"abstract":"The interconnection of renewable energy sources with the utility grid, such as photovoltaic (PV) and fuel cells (FC), is a solution that is effective in meeting load demand on the distribution side. The rising demand for energy management systems can be attributed to the widespread use of battery energy storage systems (BESS) in the utility grid. An effective energy management system is proposed in this study for use in a PV and FC-based DC nano grid with BESS, and several operating modes are analyzed and addressed. The most important aspect of it is that it keeps the DC voltage consistent throughout the grid. With the help of the MATLAB/Simulink software tool, many simulation case studies are carried out in this research.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834769","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060639
P. Tanuja, S. N, Raghunadha Sastry.R
The requirement for renewable energy sources and power is rising, which necessitates the expansion of both the capacities of distribution & transmission. Extra power can be transferred more cheaply when utilizing DC because the RMS and peak voltages are the same, however building new transmission lines is also frequently accompanied by difficult approval processes, competing interests, & higher costs. Therefore, sharing HVDC and HVAC lines on the same tower called hybrid lines is a more economical way to meet the demand. Coronal charges lead to issues like loss of power, loud noise, & interference in radio signals. Additionally, the electromagnetic field beneath the transmission lines at ground level makes people uncomfortable by making a sensation on their hair. Consequently, a systematic analysis of the ion current density, electric field & impact of space charges at ground level is required. This paper uses COMSOL Multiphysics software to calculate the ion current density on the ground & electric field influenced by space charges for hybrid transmission lines & HVDC. Numerous designs in HVDC, including monopolar &bipolar were investigated. For monopolar & bipolar, the effects of wind & ground conductors on space charges were investigated. This paper presents a confirmed HVDC model that may be used to investigate how space charges from DC conductors affect the current density and electric field.
{"title":"Finite Element Method designing of Ionic current density and Electric field for Hybrid Transmission Lines and HVDC","authors":"P. Tanuja, S. N, Raghunadha Sastry.R","doi":"10.1109/ICPEE54198.2023.10060639","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060639","url":null,"abstract":"The requirement for renewable energy sources and power is rising, which necessitates the expansion of both the capacities of distribution & transmission. Extra power can be transferred more cheaply when utilizing DC because the RMS and peak voltages are the same, however building new transmission lines is also frequently accompanied by difficult approval processes, competing interests, & higher costs. Therefore, sharing HVDC and HVAC lines on the same tower called hybrid lines is a more economical way to meet the demand. Coronal charges lead to issues like loss of power, loud noise, & interference in radio signals. Additionally, the electromagnetic field beneath the transmission lines at ground level makes people uncomfortable by making a sensation on their hair. Consequently, a systematic analysis of the ion current density, electric field & impact of space charges at ground level is required. This paper uses COMSOL Multiphysics software to calculate the ion current density on the ground & electric field influenced by space charges for hybrid transmission lines & HVDC. Numerous designs in HVDC, including monopolar &bipolar were investigated. For monopolar & bipolar, the effects of wind & ground conductors on space charges were investigated. This paper presents a confirmed HVDC model that may be used to investigate how space charges from DC conductors affect the current density and electric field.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115476931","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060438
Devinder Kumar, N. K. Jain, Nangia Uma
The bulk of power is produced by carbon-fuelled thermal power stations, which discharge emissions like SO2, CO2, and NOx further into environment. Academics began concentrating their research work on many-objective load allocation. In order to resolve combined economic and multiple emissions dispatch scenarios with max-max price penalty component, this research introduces perfectly convergent particle swarm optimization (PCPSO) for addressing using quadratic functions, while considering the implications of emissions. Implementing this method on three different standard test systems, like the IEEE six-committed test unit system, ten generating test system, and forty generating real test system, and comparing the outcomes with other bio inspired algorithms, for the evaluation of this algorithm’s effectiveness. To do this, we created a software in the MATLAB 2015a environment on hp lab-top with 4GB RAM. This technique has enhanced search tools with excellent convergence characteristics, optimizing the quadratic cost and quadratic emissions functions at diverse power demands with minimal transmission line losses. Various practical constraints are taken into account, like limits of ramp rate, restricted operating zone(s), power balancing restriction, and limits of committed system. Transmission losses taken into account when considering a multi - fuel system. This algorithm is quick, reliable, and efficient, and it requires less time to solve non-convex problems with excellent efficiency.
{"title":"Perfectly Convergent Particle Swarm Optimization for Solving Combined Economic Emission Dispatch Problems with and without Valve Loading Effects","authors":"Devinder Kumar, N. K. Jain, Nangia Uma","doi":"10.1109/ICPEE54198.2023.10060438","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060438","url":null,"abstract":"The bulk of power is produced by carbon-fuelled thermal power stations, which discharge emissions like SO2, CO2, and NOx further into environment. Academics began concentrating their research work on many-objective load allocation. In order to resolve combined economic and multiple emissions dispatch scenarios with max-max price penalty component, this research introduces perfectly convergent particle swarm optimization (PCPSO) for addressing using quadratic functions, while considering the implications of emissions. Implementing this method on three different standard test systems, like the IEEE six-committed test unit system, ten generating test system, and forty generating real test system, and comparing the outcomes with other bio inspired algorithms, for the evaluation of this algorithm’s effectiveness. To do this, we created a software in the MATLAB 2015a environment on hp lab-top with 4GB RAM. This technique has enhanced search tools with excellent convergence characteristics, optimizing the quadratic cost and quadratic emissions functions at diverse power demands with minimal transmission line losses. Various practical constraints are taken into account, like limits of ramp rate, restricted operating zone(s), power balancing restriction, and limits of committed system. Transmission losses taken into account when considering a multi - fuel system. This algorithm is quick, reliable, and efficient, and it requires less time to solve non-convex problems with excellent efficiency.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133457402","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060687
B. T. Rao, D. De, Debjit Chattopadhyay
In this paper, reliability of multi-phase coupled inductor based DC-DC boost converter is analyzed. The use of DC-DC converters in integrated power conversion systems has increased enormously in the recent times. A detailed study on the various reliability and loss factors in multi-phase interleaved converter is demonstrated. The continuous input and output current boost converter is studied with the PV converter at the input. A detailed study for a multi-phase converter is carried out with different numbers of converter units, different operating temperatures, and different irradiation levels of the PV converter. Extensive mathematical modeling and analysis of various converters in terms of failure rates are carried out summarizing the mean time to failure under the same operating scenarios. The MTTF of the system is estimated using Markov reliability models. The effect of the component selection and number of parallel paths on Mean time to failure are analyzed in detail. The concepts are verified through simulation studies using MATLAB-simulink.
{"title":"Reliability Study of Multi-Phase Coupled Inductor Based Boost Converter with Continuous Input/Output Currents","authors":"B. T. Rao, D. De, Debjit Chattopadhyay","doi":"10.1109/ICPEE54198.2023.10060687","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060687","url":null,"abstract":"In this paper, reliability of multi-phase coupled inductor based DC-DC boost converter is analyzed. The use of DC-DC converters in integrated power conversion systems has increased enormously in the recent times. A detailed study on the various reliability and loss factors in multi-phase interleaved converter is demonstrated. The continuous input and output current boost converter is studied with the PV converter at the input. A detailed study for a multi-phase converter is carried out with different numbers of converter units, different operating temperatures, and different irradiation levels of the PV converter. Extensive mathematical modeling and analysis of various converters in terms of failure rates are carried out summarizing the mean time to failure under the same operating scenarios. The MTTF of the system is estimated using Markov reliability models. The effect of the component selection and number of parallel paths on Mean time to failure are analyzed in detail. The concepts are verified through simulation studies using MATLAB-simulink.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124173057","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10059937
D. Patel, Srishti, P. Padhy
This paper discusses the design and control of a high-efficiency and high-gain DC-DC Boost Converter which is used for power conditioning between Photovoltaic cells and load. DC-DC converter offers limited gain, and their efficiency decreases with an increasing gain due to very high duty cycles, which causes high voltage stress on switches. By using a coupled inductor and a clamped circuit, higher gains are achieved without loss in efficiency. A fractional-order PID (FOPID) controller is suggested for maintaining the constant voltage at the load end. A FOPID controller has advantages over a PID controller and offers better performance. For tuning the FOPID controller, different optimization algorithms have been used. Integrated Time Weighted Absolute Error (ITAE) of the system has been taken as performance criteria and has been minimized by optimization algorithms to obtain parameter values for the FOPID controller. Namely, four different algorithms have been used, i.e., Genetic Algorithm (GA), Particle Swarm optimization Algorithm (PSO), Whale optimization Algorithm (WOA), and Grey Wolf optimization Algorithm (GWO). MATLAB Simulink has been used for design and simulation of the boost converter and controller, and the results obtained for the FOPID controller by different optimization algorithms along with a PID controller have been compared and discussed.
{"title":"Optimal Tuning of Fractional Order PID Controller with Metaheuristic Algorithms for High Efficiency High Gain DC-DC Boost Converter","authors":"D. Patel, Srishti, P. Padhy","doi":"10.1109/ICPEE54198.2023.10059937","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10059937","url":null,"abstract":"This paper discusses the design and control of a high-efficiency and high-gain DC-DC Boost Converter which is used for power conditioning between Photovoltaic cells and load. DC-DC converter offers limited gain, and their efficiency decreases with an increasing gain due to very high duty cycles, which causes high voltage stress on switches. By using a coupled inductor and a clamped circuit, higher gains are achieved without loss in efficiency. A fractional-order PID (FOPID) controller is suggested for maintaining the constant voltage at the load end. A FOPID controller has advantages over a PID controller and offers better performance. For tuning the FOPID controller, different optimization algorithms have been used. Integrated Time Weighted Absolute Error (ITAE) of the system has been taken as performance criteria and has been minimized by optimization algorithms to obtain parameter values for the FOPID controller. Namely, four different algorithms have been used, i.e., Genetic Algorithm (GA), Particle Swarm optimization Algorithm (PSO), Whale optimization Algorithm (WOA), and Grey Wolf optimization Algorithm (GWO). MATLAB Simulink has been used for design and simulation of the boost converter and controller, and the results obtained for the FOPID controller by different optimization algorithms along with a PID controller have been compared and discussed.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133289","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060755
Ouma Bosaletsi, W. Cronje, L. Masisi
Transitioning towards carbon-free energy has necessitated the provision of fast frequency response due to reduced system inertia. Controllable thermal loads can respond instantaneously to control signals, suggesting that there exist a large fast frequency response capability from the demand side. A mathematical representation of the power system behavior considering the demand side fast frequency response in low inertia power systems is proposed. The proposed method considered frequency control constraints. The applicability of the presented method is demonstrated on an islanded microgrid. The results show that the proposed method models the power system frequency dynamics following contingency events according to the demand side fast frequency response availability.
{"title":"Demand Side Frequency Control in Low Inertia Power System","authors":"Ouma Bosaletsi, W. Cronje, L. Masisi","doi":"10.1109/ICPEE54198.2023.10060755","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060755","url":null,"abstract":"Transitioning towards carbon-free energy has necessitated the provision of fast frequency response due to reduced system inertia. Controllable thermal loads can respond instantaneously to control signals, suggesting that there exist a large fast frequency response capability from the demand side. A mathematical representation of the power system behavior considering the demand side fast frequency response in low inertia power systems is proposed. The proposed method considered frequency control constraints. The applicability of the presented method is demonstrated on an islanded microgrid. The results show that the proposed method models the power system frequency dynamics following contingency events according to the demand side fast frequency response availability.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123675753","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060649
Devinder Kumar, N. K. Jain, Nangia Uma
Determining the optimum performance from a number of power producing facilities in the short term to fulfil system demand with the aim of power forecasting at the lowest cost possible subject to transmission systems energy losses and operating parameters, is known as optimal power dispatch. Power balance constraints, generator limits, emission dispatch constraints, and valve point effects are a few instances of operational constraints. In order to manage the objective function and the operational constraints simultaneously, the proposed Perfectly Convergent Particle swarm optimization has been suggested in this research which outperformed various algorithms from recent literature in consistently giving excellent optimal solutions. The three dynamic test unit systems with three, ten and thirteen generators are considered in this article. For the accurate and efficient dynamic distribution of power, the effects of valve point loading, with or without emissions, prohibited operating zones and transmission line power loss are also taken into account.
{"title":"Dynamic Combined Economic Emission Load Dispatch Using Perfectly Convergent Particle Swarm Optimization","authors":"Devinder Kumar, N. K. Jain, Nangia Uma","doi":"10.1109/ICPEE54198.2023.10060649","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060649","url":null,"abstract":"Determining the optimum performance from a number of power producing facilities in the short term to fulfil system demand with the aim of power forecasting at the lowest cost possible subject to transmission systems energy losses and operating parameters, is known as optimal power dispatch. Power balance constraints, generator limits, emission dispatch constraints, and valve point effects are a few instances of operational constraints. In order to manage the objective function and the operational constraints simultaneously, the proposed Perfectly Convergent Particle swarm optimization has been suggested in this research which outperformed various algorithms from recent literature in consistently giving excellent optimal solutions. The three dynamic test unit systems with three, ten and thirteen generators are considered in this article. For the accurate and efficient dynamic distribution of power, the effects of valve point loading, with or without emissions, prohibited operating zones and transmission line power loss are also taken into account.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125033151","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060100
P. Behera, P. Piyush, M. Pattnaik
This paper mainly addresses the design, sizing and control of an actively configured battery-supercapacitor (SC) based hybrid energy storage system (HESS). Various important aspects while performing the HESS sizing analysis are discussed in detail. The hybridization reduces the battery stress during transient instants, thus enhancing the system response in addition to improvement of battery life. The performance of HESS depends on the control scheme and power allocation between battery and SC. A low-pass filtration based frequency decomposition strategy is used to achieve the power sharing. The control approach is validated through simulation and implemented using dSPACE DS1103 digital controller in the developed test-rig under sudden load variation. The performance of the HESS controller is found satisfactory under steady-state as well as transient operation.
{"title":"Design, Sizing and Implementation of a Parallel Active Battery-Supercapacitor based Hybrid Energy Storage System","authors":"P. Behera, P. Piyush, M. Pattnaik","doi":"10.1109/ICPEE54198.2023.10060100","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060100","url":null,"abstract":"This paper mainly addresses the design, sizing and control of an actively configured battery-supercapacitor (SC) based hybrid energy storage system (HESS). Various important aspects while performing the HESS sizing analysis are discussed in detail. The hybridization reduces the battery stress during transient instants, thus enhancing the system response in addition to improvement of battery life. The performance of HESS depends on the control scheme and power allocation between battery and SC. A low-pass filtration based frequency decomposition strategy is used to achieve the power sharing. The control approach is validated through simulation and implemented using dSPACE DS1103 digital controller in the developed test-rig under sudden load variation. The performance of the HESS controller is found satisfactory under steady-state as well as transient operation.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473900","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060388
Sulabh Sachan
The sustainable mobility plans require the analysis of mobility for different future scenarios highlighting the necessity of improving the transport system and road safety globally. In this work, an efficient multi-objective function using Chicken Swarm optimization (CSO) for finding the optimal location of CSs in radial distribution network for minimizing the power losses, average voltage deviation index, and Harmonic Distortion Impact is presented. The simulations are performed on IEEE standard 33-bus radial distribution test systems.
{"title":"Multi Objective Location of EVCS by CSO driven Heuristics","authors":"Sulabh Sachan","doi":"10.1109/ICPEE54198.2023.10060388","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060388","url":null,"abstract":"The sustainable mobility plans require the analysis of mobility for different future scenarios highlighting the necessity of improving the transport system and road safety globally. In this work, an efficient multi-objective function using Chicken Swarm optimization (CSO) for finding the optimal location of CSs in radial distribution network for minimizing the power losses, average voltage deviation index, and Harmonic Distortion Impact is presented. The simulations are performed on IEEE standard 33-bus radial distribution test systems.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131168861","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：