Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087674
N. S, V. M.
In recent past, Electric Vehicles have become on par in terms of performance, if not exceeded their internal combustion engine counterparts. Though EV s have long been regarded as a game-changer in India's automotive industry, a proper charging infrastructure is critical for the proliferation of EV s alongside the integration of renewable energy sources into the grid to develop a low-carbon society. The availability of decentralised small-scale renewable energy sources and the uncertainties surrounding EV charging operations make the process of managing energy and setting fair prices at the grid level more difficult. In this paper, an ecosystem blueprint for an EV charging station has been proposed, which includes a dynamic pricing model for charging Electric Vehicles in any office or college space which acts as a hybrid microgrid with renewable energy sources. This work has been validated for NIT Trichy as a case study and solar PV is taken as the main renewable resource. However, the proposed model can accommodate the future addition of any renewable source and can formulate the prices accordingly. The proposed pricing model aims to maximise user satisfaction by keeping the charging bills low, as well as maximise the utilisation of renewable energy to lower the dependency on the grid. The blueprint also includes a comprehensive business plan to discuss its feasibility. Furthermore, the blueprint also involves building a suitable interface for EV users through a mobile application to efficiently book slots and charge their EVs and an admin dashboard supervises all the operations and helps keep an eye on the operational constraints.
{"title":"A Tailor-made Billing Model for EV Charging in a Community Living","authors":"N. S, V. M.","doi":"10.1109/GlobConHT56829.2023.10087674","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087674","url":null,"abstract":"In recent past, Electric Vehicles have become on par in terms of performance, if not exceeded their internal combustion engine counterparts. Though EV s have long been regarded as a game-changer in India's automotive industry, a proper charging infrastructure is critical for the proliferation of EV s alongside the integration of renewable energy sources into the grid to develop a low-carbon society. The availability of decentralised small-scale renewable energy sources and the uncertainties surrounding EV charging operations make the process of managing energy and setting fair prices at the grid level more difficult. In this paper, an ecosystem blueprint for an EV charging station has been proposed, which includes a dynamic pricing model for charging Electric Vehicles in any office or college space which acts as a hybrid microgrid with renewable energy sources. This work has been validated for NIT Trichy as a case study and solar PV is taken as the main renewable resource. However, the proposed model can accommodate the future addition of any renewable source and can formulate the prices accordingly. The proposed pricing model aims to maximise user satisfaction by keeping the charging bills low, as well as maximise the utilisation of renewable energy to lower the dependency on the grid. The blueprint also includes a comprehensive business plan to discuss its feasibility. Furthermore, the blueprint also involves building a suitable interface for EV users through a mobile application to efficiently book slots and charge their EVs and an admin dashboard supervises all the operations and helps keep an eye on the operational constraints.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131393721","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087671
Bhavya Pandya, Siddharth Joshi
Every day, environmental issues deteriorate further. The adoption of the industry 4.0 revolution, the use of renewable energy, advancements in control systems, and other 21st-century revolutions all call for a significant increase in power consumption. Including captive power facilities that can supply the local load is one way to address the requirement for electricity. A single renewable energy source frequently presents problems in terms of generating electricity due to the intermittent nature of renewables. Hybrid renewable energy systems are one of the most promising ways to meet the load demand. This paper focused on the modeling of large-scale hybrid renewable energy systems (HRES) with the incorporation of solar PV, wind energy conversion system (WECS), and battery energy storage system (BESS). This study also includes simulation and analysis of a large-scale hybrid renewable energy system with a DC load application. In this paper Gain Scheduling PI(GSPI) controlling technique is used for good stability and improvement of the response time of 100 kW HRES. MATLAB SIMULINK is used to evaluate the system for different combinations of supply and load.
{"title":"Simulation and Analysis for 100kW Standalone Hybrid Renewable Energy System","authors":"Bhavya Pandya, Siddharth Joshi","doi":"10.1109/GlobConHT56829.2023.10087671","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087671","url":null,"abstract":"Every day, environmental issues deteriorate further. The adoption of the industry 4.0 revolution, the use of renewable energy, advancements in control systems, and other 21st-century revolutions all call for a significant increase in power consumption. Including captive power facilities that can supply the local load is one way to address the requirement for electricity. A single renewable energy source frequently presents problems in terms of generating electricity due to the intermittent nature of renewables. Hybrid renewable energy systems are one of the most promising ways to meet the load demand. This paper focused on the modeling of large-scale hybrid renewable energy systems (HRES) with the incorporation of solar PV, wind energy conversion system (WECS), and battery energy storage system (BESS). This study also includes simulation and analysis of a large-scale hybrid renewable energy system with a DC load application. In this paper Gain Scheduling PI(GSPI) controlling technique is used for good stability and improvement of the response time of 100 kW HRES. MATLAB SIMULINK is used to evaluate the system for different combinations of supply and load.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131992777","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087838
Ghanshyam Meena, Dharmendra Saini, V. Meena, A. Mathur, Vinay Singh
This study proposes a power flow algorithm based on the modified implicit Z-bus method for an unbalanced hybrid AC-DC microgrid (HMGs) operated in islanded mode. In this paper, a 4-wire multi-ground ac microgrid and a bi-polar DC microgrid are coupled through interlinking converters (ICs). Microgrid (MG) elements are represented through sequence component models. In contrast to grid-connected systems, where frequency and voltage are constant, changeable frequency and voltage are employed for power synchronization amongst AC and DC microgrids. In this work, a load flow algorithm for hybrid AC-DC microgrids considering various load models (constant load, voltage, and frequency-dependent load) and distributed generation is developed. The proposed algorithm is validated on 12-bus and 47-bus hybrid microgrid test systems. The obtained result is compared with result of newton rapson-method (NR) and time domain-based simulation modules to show accuracy of the proposed method.
{"title":"A Modified Implicit Z-Bus Method for an Unbalanced Hybrid AC-DC Microgrids","authors":"Ghanshyam Meena, Dharmendra Saini, V. Meena, A. Mathur, Vinay Singh","doi":"10.1109/GlobConHT56829.2023.10087838","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087838","url":null,"abstract":"This study proposes a power flow algorithm based on the modified implicit Z-bus method for an unbalanced hybrid AC-DC microgrid (HMGs) operated in islanded mode. In this paper, a 4-wire multi-ground ac microgrid and a bi-polar DC microgrid are coupled through interlinking converters (ICs). Microgrid (MG) elements are represented through sequence component models. In contrast to grid-connected systems, where frequency and voltage are constant, changeable frequency and voltage are employed for power synchronization amongst AC and DC microgrids. In this work, a load flow algorithm for hybrid AC-DC microgrids considering various load models (constant load, voltage, and frequency-dependent load) and distributed generation is developed. The proposed algorithm is validated on 12-bus and 47-bus hybrid microgrid test systems. The obtained result is compared with result of newton rapson-method (NR) and time domain-based simulation modules to show accuracy of the proposed method.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130475367","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087406
Rashmi Bareth, Matushree Kochar, Anamika Yadav
Load Forecasting helps the utility to make important decision such as load scheduling, load shedding, etc. The main objective of load forecasting are control, operation and planning of power system. With increasing complexity of power system, the proper choice of machine learning techniques also becomes challenging. This paper presents a comparative analysis of nineteen machine learning models such as Linear Regression, Bagged Tree, Cubic Support Vector Machine, Gaussian Process Regression with four different kernel function e.g. Squared-exponential, Rational Quadratic, Exponential, Mattern 3/2, Fine tree, Coarse tree, Quadratic support vector machine, Interaction regression, Medium tree, Robust linear regression, Stepwise linear regression, Linear support vector machine, Fine Gaussian support vector machine, Coarse Gaussian support vector machine, Medium Gaussian support vector machine, and Boosted tree. For short term load forecasting, a dataset of July 2022 of Phata region of Maharashtra, India is considered. The simulation result shows that Exponential Gaussian Process Regression gives the best prediction of load compared to other models. The validation results indicate that it has the lowest RMSE (Root Mean Square Error), MSE (Mean Square Error) MAE(Mean Absolute Error) and their values are 1.2, 1.44 and 0.77 respectively.
{"title":"Comparative Analysis of different Machine learning Models for Load Forecasting","authors":"Rashmi Bareth, Matushree Kochar, Anamika Yadav","doi":"10.1109/GlobConHT56829.2023.10087406","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087406","url":null,"abstract":"Load Forecasting helps the utility to make important decision such as load scheduling, load shedding, etc. The main objective of load forecasting are control, operation and planning of power system. With increasing complexity of power system, the proper choice of machine learning techniques also becomes challenging. This paper presents a comparative analysis of nineteen machine learning models such as Linear Regression, Bagged Tree, Cubic Support Vector Machine, Gaussian Process Regression with four different kernel function e.g. Squared-exponential, Rational Quadratic, Exponential, Mattern 3/2, Fine tree, Coarse tree, Quadratic support vector machine, Interaction regression, Medium tree, Robust linear regression, Stepwise linear regression, Linear support vector machine, Fine Gaussian support vector machine, Coarse Gaussian support vector machine, Medium Gaussian support vector machine, and Boosted tree. For short term load forecasting, a dataset of July 2022 of Phata region of Maharashtra, India is considered. The simulation result shows that Exponential Gaussian Process Regression gives the best prediction of load compared to other models. The validation results indicate that it has the lowest RMSE (Root Mean Square Error), MSE (Mean Square Error) MAE(Mean Absolute Error) and their values are 1.2, 1.44 and 0.77 respectively.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"359 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133869705","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087762
Byron Valenzuela, J. Muñoz, Manuel Jaramillo, Carlos Barrera-Singaña, Wilson Pavón
The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.
{"title":"Determination of The Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm","authors":"Byron Valenzuela, J. Muñoz, Manuel Jaramillo, Carlos Barrera-Singaña, Wilson Pavón","doi":"10.1109/GlobConHT56829.2023.10087762","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087762","url":null,"abstract":"The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131598548","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 : 2023-03-11DOI: 10.1109/globconht56829.2023.10087630
{"title":"IEEE IAS GlobConHT 2023 Organizing Committie","authors":"","doi":"10.1109/globconht56829.2023.10087630","DOIUrl":"https://doi.org/10.1109/globconht56829.2023.10087630","url":null,"abstract":"","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131605546","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087768
S. Swetha, V. Verma
Microgrid enables harvesting of locally available renewable energy sources and deliver it to nearby load efficiently, for which it is mandated to work effectively without failure both in presence and in absence of grid. To ascertain its reliability and robustness, it requires fast and efficient islanding detection and information of available distributed generations (DGs) in connection to device seamless transition from grid - tied mode to islanded mode and vice - versa. The paper proposes Goertzel based active islanding detection technique by incorporating fuzzy logic based inferencing system for effective embedding of control of DGs for better planning and higher efficiency of energy generation without using any communication system. The simulation results presented in the paper demonstrate the efficacy of the proposed method and inferencing system to detect both grid islanding and status of the outage of individual DGs in the microgrid without compromising on the power quality.
{"title":"Autonomous Active Grid islanding and DGs outage detection in a $mu mathrm{G}$ utilizing Goertzel Algorithm in collaboration with Fuzzy Inferencing System","authors":"S. Swetha, V. Verma","doi":"10.1109/GlobConHT56829.2023.10087768","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087768","url":null,"abstract":"Microgrid enables harvesting of locally available renewable energy sources and deliver it to nearby load efficiently, for which it is mandated to work effectively without failure both in presence and in absence of grid. To ascertain its reliability and robustness, it requires fast and efficient islanding detection and information of available distributed generations (DGs) in connection to device seamless transition from grid - tied mode to islanded mode and vice - versa. The paper proposes Goertzel based active islanding detection technique by incorporating fuzzy logic based inferencing system for effective embedding of control of DGs for better planning and higher efficiency of energy generation without using any communication system. The simulation results presented in the paper demonstrate the efficacy of the proposed method and inferencing system to detect both grid islanding and status of the outage of individual DGs in the microgrid without compromising on the power quality.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131756617","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087517
R. Meena, D. Bhaskar, Omar Al Zaabi, Mrutunjaya Panda, Prashant Kumar, Utkal Ranjan Muduli
This work implements a photovoltaic single-phase grid-connected converter. The voltage output is regulated by the power inverter control circuit in system operation. The converter control loop observes the voltages and currents of the power system network and looks at the frequency and phase angle of the inverter using PLL (phase-locked loop). In islanding mode, the inverter controller regulates the voltage and frequency of the output of the converter. The inverter is integrated into a DC bus, which is coupled to a photovoltaic array through a DC-DC boost converter. In the connected mode of the network, the PV operates at maximum Power Point, whereas, in the island mode, the PV operates in the voltage regulation mode. To eliminate the high-switching-frequency harmonics component, an LCL filter is used. MATLAB simulation is used to verify the system implemented.
{"title":"Modeling of Two-Stage Photovoltaic Inverter with Grid Connected and Islanding Operation","authors":"R. Meena, D. Bhaskar, Omar Al Zaabi, Mrutunjaya Panda, Prashant Kumar, Utkal Ranjan Muduli","doi":"10.1109/GlobConHT56829.2023.10087517","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087517","url":null,"abstract":"This work implements a photovoltaic single-phase grid-connected converter. The voltage output is regulated by the power inverter control circuit in system operation. The converter control loop observes the voltages and currents of the power system network and looks at the frequency and phase angle of the inverter using PLL (phase-locked loop). In islanding mode, the inverter controller regulates the voltage and frequency of the output of the converter. The inverter is integrated into a DC bus, which is coupled to a photovoltaic array through a DC-DC boost converter. In the connected mode of the network, the PV operates at maximum Power Point, whereas, in the island mode, the PV operates in the voltage regulation mode. To eliminate the high-switching-frequency harmonics component, an LCL filter is used. MATLAB simulation is used to verify the system implemented.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131173251","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087848
Pavankumar Daramukkala, K. Mohanty, Markala Karthik, S. D. Swain, Bhanu Pratap Behera, V. N
This paper presents a normalized sigmoid function least mean square (NSF-LMS) based adaptive filtering method for shunt hybrid active power filter (SHAPF) for enhancement of power quality at the distribution level. The proposed adaptive filter is designed for the reference current generation and mitigation of current harmonics in the source, and for reducing the %THD to the IEEE-519 standard value. The performance of the SHAPF system with proposed NSF-LMS method is analyzed for steady-state as well as transient conditions. The passive power filter (PPF) is designed for 5th and 7th harmonic order. The simulations are performed using MATLAB/Simulink software, and the results are analyzed. The OPAL-RT digital simulator was used to run the simulations in real time, and the results were reported.
{"title":"Normalized Sigmoid Function LMS Adaptive Filter based Shunt Hybrid Active Power Filter for Power Quality Improvement","authors":"Pavankumar Daramukkala, K. Mohanty, Markala Karthik, S. D. Swain, Bhanu Pratap Behera, V. N","doi":"10.1109/GlobConHT56829.2023.10087848","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087848","url":null,"abstract":"This paper presents a normalized sigmoid function least mean square (NSF-LMS) based adaptive filtering method for shunt hybrid active power filter (SHAPF) for enhancement of power quality at the distribution level. The proposed adaptive filter is designed for the reference current generation and mitigation of current harmonics in the source, and for reducing the %THD to the IEEE-519 standard value. The performance of the SHAPF system with proposed NSF-LMS method is analyzed for steady-state as well as transient conditions. The passive power filter (PPF) is designed for 5th and 7th harmonic order. The simulations are performed using MATLAB/Simulink software, and the results are analyzed. The OPAL-RT digital simulator was used to run the simulations in real time, and the results were reported.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133581358","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087504
M. Aijaz, Ikhlaq Hussain, S. A. Lone
This article presents a three phase system equipped with photovoltaic (PV) integration and (Electric Vehicle) EV functionality. The presented system possesses the capability of operating in utility connected mode as well as islanded mode. The DC link voltage ($V_{DC}$) is regulated by a transit search algorithm (TSA) PI controller to limit the dynamic and static error. The voltage regulation capability is tested across various simulation studies such as PV power fluctuations and characteristics of a weak grid such as load perturbation, load faults and grid voltage disturbance. Comparison is made between slime mould algorithm (SMA), genetic algorithm (GA) and TSA and it depicts improved performance in dynamic as well as static response. Dynamic error on an average of GA optimised system is 2.42% while SMA optimised system is 3.2% and TSA optimised has 2.6%. Static error of GA tuned system is 0.25%, 0.05% of SMA optimised system while only 0.025% of TSA. Other simulation studies prove the robustness of the system to dynamic power system conditions.
{"title":"Grid Interactive PV Integrated EV Charging System with Optimised Adaptive Control Under Weak Grid Conditions","authors":"M. Aijaz, Ikhlaq Hussain, S. A. Lone","doi":"10.1109/GlobConHT56829.2023.10087504","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087504","url":null,"abstract":"This article presents a three phase system equipped with photovoltaic (PV) integration and (Electric Vehicle) EV functionality. The presented system possesses the capability of operating in utility connected mode as well as islanded mode. The DC link voltage ($V_{DC}$) is regulated by a transit search algorithm (TSA) PI controller to limit the dynamic and static error. The voltage regulation capability is tested across various simulation studies such as PV power fluctuations and characteristics of a weak grid such as load perturbation, load faults and grid voltage disturbance. Comparison is made between slime mould algorithm (SMA), genetic algorithm (GA) and TSA and it depicts improved performance in dynamic as well as static response. Dynamic error on an average of GA optimised system is 2.42% while SMA optimised system is 3.2% and TSA optimised has 2.6%. Static error of GA tuned system is 0.25%, 0.05% of SMA optimised system while only 0.025% of TSA. Other simulation studies prove the robustness of the system to dynamic power system conditions.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127823569","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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