scholarly journals Brayton-Moser Passivity Based Controller for Electric Vehicle Battery Charger

2021 ◽  
Vol 6 (1) ◽  
pp. 40-51
Author(s):  
Kumari Shipra ◽  
Keyword(s):  
Electric Vehicle ◽  
Power Quality ◽  
Dynamic Performance ◽  
Pi Controller ◽  
Operating Conditions ◽  
Control Technique ◽  
Prototype Model ◽  
Battery Charger ◽  
Source Current ◽  
Energy Balance Approach

In this paper Brayton-Moser passivity-based control (BM-PBC) methodology is developed for an on-board battery charger for plug-in electric vehicles(PHEVs). The main features of this electric vehicle (EV) charger include improved power quality, reduced filter size and voltage stress across the switches and fast dynamic response. In this paper, a dynamic model of the three-level (TL) boost power factor correction (PFC) converter is developed using the Brayton-Moser formulation. Then, the Brayton-Moser based control technique is designed by injecting a virtual resistor in series with the input inductor. Further, the stability analysis of the proposed controller is also carried out using energy balance approach. To improve the dynamic performance and reduce the steady state error, a PI controller is integrated with the aforesaid controller. Therefore, the controller comprises of BM-PBC and the PI controller is implemented for the TL boost PFC converter as a battery charger and its performances are investigated under various operating modes with the help of MATLAB/Simulink. Furthermore, power quality of charger is assessed by monitoring source current total harmonic distortion (THD) under different operating conditions. It is also observed that the proposed system provides THD less than 5% in source current which satisfies IEC 61000-3-2 Class C standard. The performance of the aforesaid controller is also compared with the conventional PI controller. In order to validate the proposed controller, a prototype model of same specifications is tested in hardware in loop and obtained test results are also presented.

Adaptive Method for Power Quality Improvement through Minimization of Harmonics Using Artificial Intelligence

2017 ◽  
Vol 8 (1) ◽  
pp. 470 ◽  
Author(s):  
P. Thirumoorthi ◽  
Raheni T D
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Power Quality ◽  
Active Power Filter ◽  
Pi Controller ◽  
Active Power ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Non Linear ◽  
Source Current

Power system harmonics are a menace to electric power system with disastrous consequence. Due to the presence of non linear load, power quality of the system gets affected.  To overcome this, shunt active power filter have been used near harmonic producing loads or at the point of common coupling to block current harmonics. The shunt active power filter is designed to minimize harmonics in source current and reactive power in the non linear power supplies which are creating harmonics. In this paper, Instantaneous power of p-q theory is employed to generate the reference currents and PI controller is used to control the dc link voltage. In addition to this, Artificial Intelligence (AI) technique is used to minimize the harmonics produced by nonlinear load. The main objective of this paper is to analyze and compare THD of the source current with PI controller and by artificial neural network based back propagation algorithm. The proposed system is designed with MATLAB/SIMULINK environment.

Self-Tuning Fuzzy Based PI Controller for DFIM Powered by Two Matrix Converters

2016 ◽  
Vol 7 (3) ◽  
pp. 665
Author(s):  
Abdelhakim Alalei ◽  
Abdeldjebar Hazzab ◽  
Ali Nesba
Keyword(s):  
Fuzzy Logic ◽  
Induction Machine ◽  
Pi Controller ◽  
Operating Conditions ◽  
Control Technique ◽  
Matrix Converters ◽  
The Matrix ◽  
Doubly Fed Induction Machine ◽  
Self Tuning ◽  
Doubly Fed

This paper presents a study of the Doubly Fed Induction Machine (DFIM) powered by two matrix converters; one connected to the stator windings and the other connected to the rotor windings. First, the mathematical model of DFIM and those of the matrix converters are developed. Then, the vector control technique is applied to the DFIM. Fuzzy logic is used in order to automatically adjust the parameters of the PI controller. The performance of this structure under different operating conditions is studied. Particular interest is given to the robustness of the fuzzy logic based control. The operation of the DFIM under overload conditions is also examined.  Simulation results obtained in MATLAB/Simulink environment are presented and discussed.

SPV-Based UPQC with Modified Power Angle Control Scheme for the Enhancement of Power Quality

2019 ◽  
Vol 29 (04) ◽  
pp. 2050064 ◽  
Author(s):  
A. Gowrishankar ◽  
M. Ramasamy
Keyword(s):  
Power Quality ◽  
Reactive Power ◽  
Dynamic Performance ◽  
Digital Simulation ◽  
Energy System ◽  
Active Power ◽  
Solar Irradiation ◽  
Prototype Model ◽  
Synchronous Reference Frame ◽  
Control Scheme

Unified Power Quality Conditioner (UPQC) with a modified Power Angle Control (PAC) scheme is presented for effective interconnection of renewable energy system into the grid. The UPQC consists of both shunt and series Active Power Filters (APFs). The shunt and series APF is one of the most effective custom power devices, which provides compensation for current and voltage-based disturbances, respectively. The shunt APF supplies active power to the load from the Distributed Generation (DG) in addition to reactive power demand supplied by it. Because of this functionality, the Volt–Ampere (VA) burden increases along with the rating of the shunt inverter. The PAC scheme aims to effective utilization of series and shunt APFs through sharing of reactive power to reduce VA burden on shunt APF. The PAC scheme is based on Synchronous Reference Frame (SRF) theory, which has simple computations, is robust and uses existing measurements of Solar Photovoltaic (SPV)-integrated UPQC. The performance of the proposed SPV-integrated UPQC is verified with the manifestation of nonlinear loads and reactive burdens with the SPV power generating system. The dynamic performance of the PV-UPQC is verified under the grid disturbances such as voltage sag, swell, varying load and change in solar irradiation. The effectiveness of the proposed control scheme is evaluated through the digital simulation and hardware experimental prototype model.

scholarly journals Enhancing the Power Quality of the Grid Interactive Solar Photovoltaic-Electric Vehicle System

2021 ◽  
Vol 12 (3) ◽  
pp. 98
Author(s):  
Md Mujahid Irfan ◽  
Shriram S. Rangarajan ◽  
E. Randolph Collins ◽  
Tomonobu Senjyu
Keyword(s):  
Electric Vehicle ◽  
Power Quality ◽  
Distribution System ◽  
Control Technique ◽  
Grid Integration ◽  
Solar Photovoltaic ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Neuro Fuzzy

Grid interactive solar photovoltaic (PV) and electric vehicle (EV) systems are the emerging technologies nowadays, mainly due to energy cost reduction and minimization of emission levels. Various research surveys have presented the effect of grid integration of PVs and EVs in an isolated way. However, it is worth accepting that with the continuous emergence of PVs and EVs, the power grid is experiencing the combined effect of PV–EV integration. The distribution system network of EVs impacts the power quality of the grid. In this paper, shunt active power filter is modelled using neuro-fuzzy control technique for the mitigation of harmonics using MATLAB. The improvement in the system performance is analyzed and compared with the traditional compensation techniques.

scholarly journals Performance Evaluation of Single-Phase On-Board Charger with Advanced Controller

2021 ◽  
Vol 9 (8) ◽  
pp. 1280-1286
Author(s):  
Mr. Akshay A. Khandare
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Power Grid ◽  
Pi Controller ◽  
Grid Technology ◽  
Battery Charger ◽  
Vehicle To Grid ◽  
Electric Vehicle Battery ◽  
Control Topology

Abstract: The increasing mobility of electric vehicles has inspired vehicle growth to power grid technology. Such as vehicle to grid technology allows to transfer the power from the electric vehicle battery to the power grid. This enable speak load shaving, load leveling, voltage regulation, and improved stability of the power system. To develop the vehicle to grid technology requires a specialized EV battery charger, which permits the bi-directional energy transfer between the power grid and the electric vehicle battery. There is a specific control strategy used for a bi-directional battery charger. The proposed control strategy is used for charge and discharge battery of EV. The charger strategy has two parts: 1) Bidirectional AC-DC Converter in two-way Communication System. 2) Bidirectional DC-DC Buck-Boost Converter. There are two modes of operation for a bidirectional ac-dc converter: for G2V, rectifying mode is used, and for V2G, inverter mode is used. The suggested charge strategy not only allows for two-directional power flow but also provides power quality management of the power grid. Fuzzy logic controller (FLC) transforms linguistic control topology evaluations knowledge into an automated control topology using FLC. The FLC is more stable, has less overshoot, and responds quickly. The operation of a standard PI controller and a FLC was compared in this study using MATLAB and Simulink, and different time domain characteristics were compared as toshow that the FLC had a smaller overshoot and a faster response than the PI controller. Keywords: Bi-directional AC-DC converter, bi-directional DC-DC Buck-Boost converter, electric vehicles (EVs), on-board battery charger (OBC), grid to vehicle (G2V), vehicle to grid (V2G).

scholarly journals A Novel Fuzzy PI Control Method for Variable Frequency Brushless Synchronous Generators

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7950
Author(s):  
Yongjie Wang ◽  
Huizhen Wang ◽  
Weifeng Liu ◽  
Qin Wang
Keyword(s):  
Fuzzy Logic Controller ◽  
Control Method ◽  
Dynamic Performance ◽  
State Space Model ◽  
Synchronous Generator ◽  
Stage Structure ◽  
Pi Controller ◽  
Operating Conditions ◽  
Response Characteristics ◽  
Fuzzy Pi Controller

With the application of more electric aircraft (MEA) technology, variable frequencies and high power ratings become import features of aero-generators. The brushless synchronous generator, which has a three-stage structure, is the most commonly used type of aero-generator. Due to the variation of operating conditions, the implementation of generator controllers becomes more and more difficult. In this paper, a state space model of a generator is derived and the influence of different operating conditions on the frequency response characteristics of the generator is revealed. Based on a fuzzy PI controller, an additional fuzzy logic controller is applied to modify the PI parameters of the voltage loop by introducing the generator speed to cope with the speed variation. Finally, the results of the simulations and experiments demonstrate that the dual fuzzy PI controller can improve both the steady-state and dynamic performance of the brushless synchronous generator, verifying the previous theoretical study.

scholarly journals Electric Vehicle Battery Charger with Improved Power Quality Cuk-Derived PFC Converter

2017 ◽  
Vol 7 (1) ◽  
pp. 255-284
Author(s):  
B. R. Ananthapadmanabha ◽  
Rakesh Maurya ◽  
Sabha Raj Arya ◽  
B. Chitti Babu ◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Power Quality ◽  
Battery Charger ◽  
Electric Vehicle Battery
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