Browsing by Author "Jahan, Effat"

Now showing 1 - 20 of 48

A Robust Control Strategy to Improve Low Voltage Ride-Through of a Grid-Connected Photovoltaic System
(Acta Press, 2021-01) Ahmed, Abir; Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul
In this paper, a robust control approach is developed to enhance the transient stability and low-voltage ride-through (LVRT) competence of a grid-connected large-scale solar photovoltaic (PV) plant. The modern grid codes are demanded that the PV plant should provide dynamic support. The proposed control policy can guarantee the LVRT aptitude in accordance with grid codes and power system transient stability against symmetrical and unsymmetrical faults. Besides, a DC-link protection system, AC–DC converter, and DC– AC converter controllers are developed. To analyse the performance of the proposed strategy under diﬀerent faults, simulation is performed on a customized IEEE nine-bus system including conventional synchronous generator (SG)-based power plants and a PV plant using PSCAD/EMTDC software. Additionally, a comparative study is shown with the conventional control strategy. The simulation analysis shows that PV plant terminal voltage is recovered 90% of its nominal value within 1.5 s, which implies that the LVRT aptitude and transient stability can be enhanced by integrating the proposed strategy.
A Robust Control Strategy to Improve Low Voltage Ride-Through of a Grid-Connected Photovoltaic System
(International Journal of Power and Energy Systems, 2021-01-10) Ahmed, Abir; Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul
In this paper, a robust control approach is developed to enhance the transient stability and low-voltage ride-through (LVRT) competence of a grid-connected large-scale solar photovoltaic (PV) plant. The modern grid codes are demanded that the PV plant should provide dynamic support. The proposed control policy can guarantee the LVRT aptitude in accordance with grid codes and power system transient stability against symmetrical and unsymmetrical faults. Besides, a DC-link protection system, AC–DC converter, and DC– AC converter controllers are developed. To analyse the performance of the proposed strategy under diﬀerent faults, simulation is performed on a customized IEEE nine-bus system including conventional synchronous generator (SG)-based power plants and a PV plant using PSCAD/EMTDC software. Additionally, a comparative study is shown with the conventional control strategy. The simulation analysis shows that PV plant terminal voltage is recovered 90% of its nominal value within 1.5 s, which implies that the LVRT aptitude and transient stability can be enhanced by integrating the proposed strategy
A Robust Control Strategy to Improve Low Voltage Ride-Through of a Grid-Connected Photovoltaic System
(International Journal of Power and Energy Systems, Acta Press, 2021-01-10) Ahmed, Abir; Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul
In this paper, a robust control approach is developed to enhance the transient stability and low-voltage ride-through (LVRT) competence of a grid-connected large-scale solar photovoltaic (PV) plant. The modern grid codes are demanded that the PV plant should provide dynamic support. The proposed control policy can guarantee the LVRT aptitude in accordance with grid codes and power system transient stability against symmetrical and unsymmetrical faults. Besides, a DC-link protection system, AC–DC converter, and DC– AC converter controllers are developed. To analyse the performance of the proposed strategy under diﬀerent faults, simulation is performed on a customized IEEE nine-bus system including conventional synchronous generator (SG)-based power plants and a PV plant using PSCAD/EMTDC software. Additionally, a comparative study is shown with the conventional control strategy. The simulation analysis shows that PV plant terminal voltage is recovered 90% of its nominal value within 1.5 s, which implies that the LVRT aptitude and transient stability can be enhanced by integrating the proposed strategy.
Analysis of a Hybrid Power System Including Large-Scale Wind Farm
(IEEE, 2021-02) Chowdhury, Akib; Hazari, Md. Rifat; Jahan, Effat; Hossain, Chowdhury Akram; Mannan, Mohammad Abdul
Integration of large-scale grid-tied wind farm (WF) has been rising since the last decade. Most of the WF are built using squirrel cage induction generator (SCIG). In this paper, an analysis has been done on the hybrid power system model contained of conventional power plants and SCIG. The analysis has been done on different parameters of the grid system, i.e., voltage, active, and reactive power, and frequency. Real wind speed data is applied in this work to make realistic response. Simulation has been conducted using PSCAD/EMTDC software.
Analysis of a Hybrid Power System Including Large-Scale Wind Farm
(IEEE, 2021-02-01) Chowdhury, Akib; Hazari, Md. Rifat; Jahan, Effat; Hossain, Chowdhury Akram; Mannan, Mohammad Abdul
Integration of large-scale grid-tied wind farm (WF) has been rising since the last decade. Most of the WF are built using squirrel cage induction generator (SCIG). In this paper, an analysis has been done on the hybrid power system model contained of conventional power plants and SCIG. The analysis has been done on different parameters of the grid system, i.e., voltage, active, and reactive power, and frequency. Real wind speed data is applied in this work to make realistic response. Simulation has been conducted using PSCAD/EMTDC software
Analysis of a Hybrid Power System Including Large-Scale Wind Farm
(IEEE, 2021-02-01) Chowdhury, Akib; Hazari, Md. Rifat; Jahan, Effat; Hossain, Chowdhury Akram; Mannan, Mohammad Abdul
Integration of large-scale grid-tied wind farm (WF) has been rising since the last decade. Most of the WF are built using squirrel cage induction generator (SCIG). In this paper, an analysis has been done on the hybrid power system model contained of conventional power plants and SCIG. The analysis has been done on different parameters of the grid system, i.e., voltage, active, and reactive power, and frequency. Real wind speed data is applied in this work to make realistic response. Simulation has been conducted using PSCAD/EMTDC software.
Analysis of a Hybrid Power System Including Large-Scale Wind Farm
(IEEE, 2021-02-01) Chowdhury, Akib; Hazari, Md. Rifat; Jahan, Effat; Hossain, Chowdhury Akram; Mannan, Mohammad Abdul
Integration of large-scale grid-tied wind farm (WF) has been rising since the last decade. Most of the WF are built using squirrel cage induction generator (SCIG). In this paper, an analysis has been done on the hybrid power system model contained of conventional power plants and SCIG. The analysis has been done on different parameters of the grid system, i.e., voltage, active, and reactive power, and frequency. Real wind speed data is applied in this work to make realistic response. Simulation has been conducted using PSCAD/EMTDC software
Analysis of Genetic Algorithm-Optimized PID Controllers for a Two-Area Automatic Generation Control System
(IEEE, 2024-02) Tabassum, Nafisa; Jahan, Effat; Goswami, Niloy; Zishan, Md. Saniat Rahman
This paper aims to analyze an interconnected two-area Automatic Generation Control (AGC) power system through the application of optimization techniques based on Genetic Algorithm (GA). The principal objective is to enhance the overall system performance by optimizing the gain values of the three PID controllers using advanced optimization techniques like GA. This paper explores the overall performance by analyzing settling times in areas one and two and the deviation in tie line power. The system error is effectively minimized through the optimization of GA with the objective function of Integral Time Absolute Error (ITAE). Comparative analyses are conducted, comparing settling times in each area, tie line power deviation, and ITAE values with earlier simulated studies for a more comprehensive understanding to evaluate the novelty. The system is analyzed under two distinct loading conditions, analyzing each scenario individually in a case-by-case analysis. The article highlights the significance of the two-area AGC system and emphasizes the role of optimization techniques in elevating its performance, elucidating the substantial impact that optimization methods can bring
Comparative Analysis between Conventional PI, Fuzzy Logic and Artificial Neural Network Based Speed Controllers of Induction Motor with Considering Core Loss and Stray Load Loss
(David Publisher, 2017-01) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Most of the controllers of IM (induction motor) for industrial applications have been designed based on PI controller without consideration of CL (core loss) and SLL (stray load loss). To get the precise performances of torque as well as rotor speed and flux, the above mentioned losses should be considered. Conventional PI controller has overshoot effect at the transient period of the speed response curve. On the other hand, fuzzy logic and ANN (artificial neural network) based controllers can minimize the overshoot effect at the transient period because they have the abilities to deal with the nonlinear systems. In this paper, a comparative analysis is done between PI, fuzzy logic and ANN based speed controllers to find the suitable control strategy for IM with consideration of CL and SLL. The simulation analysis is done by using Matlab/Simulink software. The simulation results show that the fuzzy logic based speed controller gives better responses than ANN and conventional PI based speed controllers in terms of rotor speed, electromagnetic torque and rotor flux of IM.
Comparative Analysis between Conventional PI, Fuzzy Logic and Artificial Neural Network Based Speed Controllers of Induction Motor with Considering Core Loss and Stray Load Loss
(David Publisher, 2017-01-15) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Most of the controllers of IM (induction motor) for industrial applications have been designed based on PI controller without consideration of CL (core loss) and SLL (stray load loss). To get the precise performances of torque as well as rotor speed and flux, the above mentioned losses should be considered. Conventional PI controller has overshoot effect at the transient period of the speed response curve. On the other hand, fuzzy logic and ANN (artificial neural network) based controllers can minimize the overshoot effect at the transient period because they have the abilities to deal with the nonlinear systems. In this paper, a comparative analysis is done between PI, fuzzy logic and ANN based speed controllers to find the suitable control strategy for IM with consideration of CL and SLL. The simulation analysis is done by using Matlab/Simulink software. The simulation results show that the fuzzy logic based speed controller gives better responses than ANN and conventional PI based speed controllers in terms of rotor speed, electromagnetic torque and rotor flux of IM.
Comparative Analysis between Conventional PI, Fuzzy Logic and Artificial Neural Network Based Speed Controllers of Induction Motor with Considering Core Loss and Stray Load Loss
(Journal of Mechanics Engineering and Automation, David Publisher, 2017-01-15) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Most of the controllers of IM (induction motor) for industrial applications have been designed based on PI controller without consideration of CL (core loss) and SLL (stray load loss). To get the precise performances of torque as well as rotor speed and flux, the above mentioned losses should be considered. Conventional PI controller has overshoot effect at the transient period of the speed response curve. On the other hand, fuzzy logic and ANN (artificial neural network) based controllers can minimize the overshoot effect at the transient period because they have the abilities to deal with the nonlinear systems. In this paper, a comparative analysis is done between PI, fuzzy logic and ANN based speed controllers to find the suitable control strategy for IM with consideration of CL and SLL. The simulation analysis is done by using Matlab/Simulink software. The simulation results show that the fuzzy logic based speed controller gives better responses than ANN and conventional PI based speed controllers in terms of rotor speed, electromagnetic torque and rotor flux of IM.
Coordinated Control Scheme of Battery Storage System to Augment LVRT Capability of SCIG-Based Wind Turbines and Frequency Regulation of Hybrid Power System
(2020-02-01) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG)-based wind farms (WFs) are increasing significantly. However, FSWT-SCIGs have no low voltage ride-through (LVRT) and frequency control capabilities, which creates a significant problem on power system transient and steady-state stability. This paper presents a new operational strategy to control the voltage and frequency of the entire power system, including large-scale FSWT-SCIG-based WFs, by using a battery storage system (BSS). The proposed cascaded control of the BSS is designed to provide effective quantity of reactive power during transient periods, to augment LVRT capability and real power during steady-state periods in order to damp frequency fluctuations. The cascaded control technique is built on four proportional integral (PI) controllers. The droop control technique is also adopted to ensure frequency control capability. Practical grid code is taken to demonstrate the LVRT capability. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF with BSS. Triple-line-to-ground (3LG) and real wind speed data are used to analyze the hybrid power grid’s transient and steady-state stability. The simulation results indicate that the proposed system can be an efficient solution to stabilize the power system both in transient and steady-state conditions.
Coordinated Control Scheme of Battery Storage System to Augment LVRT Capability of SCIG-Based Wind Turbines and Frequency Regulation of Hybrid Power System
(2020-02-01) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG)-based wind farms (WFs) are increasing significantly. However, FSWT-SCIGs have no low voltage ride-through (LVRT) and frequency control capabilities, which creates a significant problem on power system transient and steady-state stability. This paper presents a new operational strategy to control the voltage and frequency of the entire power system, including large-scale FSWT-SCIG-based WFs, by using a battery storage system (BSS). The proposed cascaded control of the BSS is designed to provide effective quantity of reactive power during transient periods, to augment LVRT capability and real power during steady-state periods in order to damp frequency fluctuations. The cascaded control technique is built on four proportional integral (PI) controllers. The droop control technique is also adopted to ensure frequency control capability. Practical grid code is taken to demonstrate the LVRT capability. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF with BSS. Triple-line-to-ground (3LG) and real wind speed data are used to analyze the hybrid power grid’s transient and steady-state stability. The simulation results indicate that the proposed system can be an efficient solution to stabilize the power system both in transient and steady-state conditions.
Coordinated Control Scheme of Battery Storage System to Augment LVRT Capability of SCIG-Based Wind Turbines and Frequency Regulation of Hybrid Power System
(MDPI, 2020-02) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abbdul; Tamura, Junji
Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG)-based wind farms (WFs) are increasing significantly. However, FSWT-SCIGs have no low voltage ride-through (LVRT) and frequency control capabilities, which creates a significant problem on power system transient and steady-state stability. This paper presents a new operational strategy to control the voltage and frequency of the entire power system, including large-scale FSWT-SCIG-based WFs, by using a battery storage system (BSS). The proposed cascaded control of the BSS is designed to provide effective quantity of reactive power during transient periods, to augment LVRT capability and real power during steady-state periods in order to damp frequency fluctuations. The cascaded control technique is built on four proportional integral (PI) controllers. The droop control technique is also adopted to ensure frequency control capability. Practical grid code is taken to demonstrate the LVRT capability. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF with BSS. Triple-line-to-ground (3LG) and real wind speed data are used to analyze the hybrid power grid’s transient and steady-state stability. The simulation results indicate that the proposed system can be an efficient solution to stabilize the power system both in transient and steady-state conditions.
Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm
(IEEJ, Japan, 2019-04) Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Umemura, Atsushi; Takahashi, Rion; Tamura, Junji
This paper focuses on a novel variable deloaded operation of variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSGs) based offshore wind farm (OWF) to maintain primary reserve, which is connected to onshore grid through voltage source converter based high voltage DC (VSC-HVDC) transmission system. A centralized droop controller with dead band is designed for VSWT-PMSGs to utilize this reserve power to suppress the frequency fluctuations of the onshore grid due to the installations of large-scale fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) based wind farm (WF) and photovoltaic (PV) power station. The combination of variable deloaded operation and centralized droop controller can give better frequency regulation and decrease energy loss due to the deloaded operation. The effectiveness of the proposed variable deloaded operation and centralized droop controller is verified through simulation analyses on a modified IEEE nine-bus test system. The simulation results reveal that the variable deloaded operation can decrease the energy loss compared to the fixed deloaded operation as well as suppress the frequency fluctuations in the same level as the fixed deloaded operation.
Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm
(IEEJ Transactions on Power and Energy, 2019-04-01) Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Umemura, Atsushi; Takahashi, Rion; Tamura, Junji
This paper focuses on a novel variable deloaded operation of variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSGs) based offshore wind farm (OWF) to maintain primary reserve, which is connected to onshore grid through voltage source converter based high voltage DC (VSC-HVDC) transmission system. A centralized droop controller with dead band is designed for VSWT-PMSGs to utilize this reserve power to suppress the frequency fluctuations of the onshore grid due to the installations of large-scale fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) based wind farm (WF) and photovoltaic (PV) power station. The combination of variable deloaded operation and centralized droop controller can give better frequency regulation and decrease energy loss due to the deloaded operation. The effectiveness of the proposed variable deloaded operation and centralized droop controller is verified through simulation analyses on a modified IEEE nine-bus test system. The simulation results reveal that the variable deloaded operation can decrease the energy loss compared to the fixed deloaded operation as well as suppress the frequency fluctuations in the same level as the fixed deloaded operation.
Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm
(IEEJ Transactions on Power and Energy, 2019-04-01) Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Umemura, Atsushi; Takahashi, Rion; Tamura, Junji
This paper focuses on a novel variable deloaded operation of variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSGs) based offshore wind farm (OWF) to maintain primary reserve, which is connected to onshore grid through voltage source converter based high voltage DC (VSC-HVDC) transmission system. A centralized droop controller with dead band is designed for VSWT-PMSGs to utilize this reserve power to suppress the frequency fluctuations of the onshore grid due to the installations of large-scale fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) based wind farm (WF) and photovoltaic (PV) power station. The combination of variable deloaded operation and centralized droop controller can give better frequency regulation and decrease energy loss due to the deloaded operation. The effectiveness of the proposed variable deloaded operation and centralized droop controller is verified through simulation analyses on a modified IEEE nine-bus test system. The simulation results reveal that the variable deloaded operation can decrease the energy loss compared to the fixed deloaded operation as well as suppress the frequency fluctuations in the same level as the fixed deloaded operation.
Design and Analysis of IoT-Based Battery Management and Monitoring System for Electric Vehicle
(AIUB Journal of Science and Engineering (AJSE), 2023-08) Insia, Khaleque; Ahmed, Abir; Jahan, Effat; Ahmad, Sharif; Barua, Sreejon; Ali, Imran; Hazari, Md. Rifat
The growing popularity of electric vehicles on a worldwide scale leads to further research to monitor their performance. The use of Internet of Things (IoT) technology will make it easier to integrate the automated real-time monitoring system with the current electric vehicle technology. The great majority of electric vehicles use rechargeable lithium-ion batteries. Use of lithium-ion batteries creates an overcharging situation in the battery, which significantly decreases battery life. It also increases the possibility of disastrous safety risks due to fire. This paper develops an IoT-based battery management system to minimize hazardous situations. The battery monitoring system (BMS) notifies the user about the condition of the battery in real time.
Design and Analysis of IoT-Based Battery Management and Monitoring System for Electric Vehicle
(AIUB Journal of Science and Engineering (AJSE), 2023-08-17) Insia, Insia; Ahmed, Abir; Jahan, Effat; Ahmad, Sharif; Barua, Sreejon; Ali, Imran; Hazari, Md. Rifat; Mannan, Mohammad Abdul
The growing popularity of electric vehicles(EVs)on a worldwide scale ledto further research to monitor their performance. The use of internet of things (IoT) technology will make it easier to integrate the automated real-time monitoring system with the current EVtechnology. The great majority of EVsuse rechargeable lithium-ion batteries. Use of lithium-ion batteries creates an overcharging situation in the battery, which significantly decreases battery life. It also increases the possibility of disastrous safety risks due to fire. This paper develops an IoT-based battery management system(BMS)to minimize hazardous situations. TheproposedBMSnotifies the user about the condition of the battery in real time
Design and Analysis of IoT-Based Battery Management and Monitoring System for Electric Vehicle
(AIUB Journal of Science and Engineering (AJSE), 2023-08-17) Insia, Insia; Ahmed, Ahmed; Jahan, Effat; Ahmad, Sharif; Barua, Sreejon; Ali, Imran; Hazari, Md. Rifat; Mannan, Mohammad Abdul
The growing popularity of electric vehicles(EVs)on a worldwide scale ledto further research to monitor their performance. The use of internet of things (IoT) technology will make it easier to integrate the automated real-time monitoring system with the current EVtechnology. The great majority of EVsuse rechargeable lithium-ion batteries. Use of lithium-ion batteries creates an overcharging situation in the battery, which significantly decreases battery life. It also increases the possibility of disastrous safety risks due to fire. This paper develops an IoT-based battery management system(BMS)to minimize hazardous situations. TheproposedBMSnotifies the user about the condition of the battery in real time