scholarly journals Improvement of Dynamic Performance using the Grid-Tied Photovoltaic (PV) System with Nonlinear Controller

2019 ◽  
Vol 06 (12) ◽  
pp. 459-465
Author(s):  
Amir Nangyal ◽  
Keyword(s):  
Dynamic Performance ◽  
Nonlinear Controller ◽  
Pv System

Novel transient stability analysis of grid connected hybrid wind/PV system using UPFC

2021 ◽  
pp. 002072092110032
Author(s):  
S Arockiaraj ◽  
BV Manikandan
Keyword(s):  
Fuzzy Logic ◽  
Transient Stability ◽  
Fuzzy Logic Controller ◽  
Power Transmission ◽  
Dynamic Performance ◽  
Wind Farms ◽  
Pv System ◽  
Turbine Generator ◽  
Series Compensation ◽  
Wind Turbine System

In transmission line, the series compensation is used to improve stability and increases the power transmission capacity. It generates sub synchronous resonance (SSR) at turbine-generator shaft due to the interaction between the series compensation and wind turbine system. To solve this, several methods have been presented. However, these provide less performance during contingency period. Therefore, to mitigate the SSR and also to improve the dynamic performance of hybrid wind and PV system connected with series compensated wind farms, the adaptive technique of the Black Widow Optimization algorithm based Fuzzy Logic Controller (BWO-FLC) with UPFC is proposed in this paper. Here, the objective function is solved optimally using BWO technique. Based on this, the Fuzzy Logic Controller is designed. The results proved that the proposed controller performs the mitigation of SSR. The damping ratios of proposed controller to mitigation of SSR are 0.0098, 0.0139, and 0.0195 for wind speed of 6, 8 and 10 m/s respectively.

Simultaneous Manipulator/Controller Design Optimization Using Multi-Objective Evolutionary Algorithms

2003 ◽  
Author(s):  
T. Ravichandran ◽  
G. R. Heppler ◽  
D. W. L. Wang
Keyword(s):  
Optimal Design ◽  
Controller Design ◽  
Dynamic Performance ◽  
Algorithm Optimization ◽  
Nonlinear Controller ◽  
Closed Loop System ◽  
Multi Objective ◽  
Quintic Polynomial ◽  
Point Motion ◽  
Point To Point

A multi-objective design methodology that uses an evolutionary algorithm optimization process is presented and is applied to the simultaneous optimal design of a robotic manipulator/controller for performing point-to-point motion tasks. Dynamic performance measures, for the closed-loop system, are optimized by considering a nonlinear PD controller and quintic polynomial trajectories for point-to-point motions. Results of the simultaneous optimal design of a planar manipulator, a nonlinear controller, and some sample trajectories are presented to illustrate the efficacy of this methodology.

scholarly journals Indirect Vector Controlled Asynchronous Motor Drive’s Dynamic Performance and Analysis with A New Modified MPPT Controller

2018 ◽  
Vol 7 (2.7) ◽  
pp. 570
Author(s):  
B Pakkiraiah ◽  
Pallam Paul Ratnakanth ◽  
Ch Haribabu ◽  
O Chandra Sekhar
Keyword(s):  
Variable Temperature ◽  
Dynamic Performance ◽  
Asynchronous Motor ◽  
Weather Conditions ◽  
Future Generation ◽  
Operating Conditions ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Point Tracking ◽  
Mppt Controller

Generation of electricity from the PV system has nowadays chosen as a best energy collecting source, due to its abundance availability and also to save the conventional energy sources to the future generation. Because all the conventional sources are coming to an extinct. That is the reason, everybody are looking towards the available renewable energy resources like wind, solar, bio mass, ocean, tidal and geothermal. But, upon those, solar and wind sources are maximum preferred sources, due to their easy availability and easy way of collection of energy. This paper presents a modeling of solar photovoltaic (PV) array with a new modified maximum power point tracking (MPPT) controller, which enhances the PV system performance even at abnormal weather conditions. That the existed MPPT controllers were developed based upon the ideal characteristics of constant irradiance with variable temperature and constant temperature with variable irradiance. To overcome the above problem a practical data is considered for designing of MPPT controller which is based upon variable irradiance. But here, it is developed with the variable irradiance and variable temperature with better performance of the system. The output obtained from the PV with a new modified MPPT is given to the boost converter with an inverter to find the dynamic performance of an indirect vector controlled asynchronous motor drive under different operating conditions. For inverter control, a space vector modulation (SVM) algorithm is used, in which the calculation of switching times is proportional to the instantaneous values of the reference phase voltages. The dynamic performance responses like phasor current, torque and speed of the drive by the new modified MPPT along with SVM controlling technique of the inverter are compared and analyzed with the existed method for different operating conditions.  

Dynamic Performance Improvement of a Grid-Tied PV System Using a Feed-Forward Control Loop Acting on the NPC Inverter Currents

2017 ◽  
Vol 64 (3) ◽  
pp. 2092-2101 ◽  
Author(s):  
Leonardo Bruno Garcia Campanhol ◽  
Sergio Augusto Oliveira da Silva ◽  
Azauri Albano de Oliveira ◽  
Vinicius Dario Bacon
Keyword(s):  
Performance Improvement ◽  
Dynamic Performance ◽  
Control Loop ◽  
Pv System ◽  
Feed Forward ◽  
Feed Forward Control

Asymmetric Voltage Sag Control Strategy for Grid-Connected PV System Based on PIR Controller

2013 ◽  
Vol 724-725 ◽  
pp. 128-131
Author(s):  
Fei Zheng ◽  
Xiao Lin Zhang ◽  
Ming Chang Ding
Keyword(s):  
Control Strategy ◽  
Control Strategies ◽  
Dynamic Performance ◽  
Photovoltaic System ◽  
Voltage Sag ◽  
Dynamic Adjustment ◽  
Pv System ◽  
Current Controller ◽  
Sequence Components ◽  
Fault State

This paper proposes an improved LVRT control strategy based on PIR controller for grid-connected photovoltaic system under asymmetric voltage sag fault. First, the PIR current controller is designed in the positive synchronous frame without the need to decompose the positive and negative sequence components and the dynamic adjustment method for the current-reference calculation is given in order to gain a constant active power. And then, the principle how control strategies switching between the one in normal state and the other one in fault state is revealed in detail. Finally, simulations and experiment test on a 500kVA grid-connected photovoltaic inverter verify that this control strategy achieves good dynamic performance and it improves the PV inverters’ capacity of riding through asymmetric voltage sag fault effectively.

scholarly journals Fractional-Order Control of Grid-Connected Photovoltaic System Based on Synergetic and Sliding Mode Controllers

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 510
Author(s):  
Marcel Nicola ◽  
Claudiu-Ionel Nicola
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Photovoltaic System ◽  
Superior Performance ◽  
Pv System ◽  
Matlab Simulink ◽  
Intermediate Circuit ◽  
The Mathematical Model

Starting with the problem of connecting the photovoltaic (PV) system to the main grid, this article presents the control of a grid-connected PV system using fractional-order (FO) sliding mode control (SMC) and FO-synergetic controllers. The article presents the mathematical model of a PV system connected to the main grid together with the chain of intermediate elements and their control systems. To obtain a control system with superior performance, the robustness and superior performance of an SMC-type controller for the control of the udc voltage in the DC intermediate circuit are combined with the advantages provided by the flexibility of using synergetic control for the control of currents id and iq. In addition, these control techniques are suitable for the control of nonlinear systems, and it is not necessary to linearize the controlled system around a static operating point; thus, the control system achieved is robust to parametric variations and provides the required static and dynamic performance. Further, by approaching the synthesis of these controllers using the fractional calculus for integration operators and differentiation operators, this article proposes a control system based on an FO-SMC controller combined with FO-synergetic controllers. The validation of the synthesis of the proposed control system is achieved through numerical simulations performed in Matlab/Simulink and by comparing it with a benchmark for the control of a grid-connected PV system implemented in Matlab/Simulink. Superior results of the proposed control system are obtained compared to other types of control algorithms.

scholarly journals A Variable Step Size Incremental Conductance Direct MPPT Method for Stand-Alone PV Systems

2012 ◽  
Vol 16 (7) ◽  
pp. 881-887
Author(s):  
Jae-Hoon Cho ◽  
◽  
Jin-Il Park ◽  
Won-Pyo Hong ◽  
Myung-Geun Chun ◽  
...  
Keyword(s):  
Dynamic Performance ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Fuzzy Membership ◽  
Variable Step Size ◽  
Step Size ◽  
Pv System ◽  
Pv Systems ◽  
Incremental Conductance ◽  
Variable Step

This paper presents a variable step size incrementalconductance direct Maximum Power Point Tracking (MPPT) method using fuzzy membership for a standalone photovoltaic (PV) system under rapidly changing irradiation. MPPT techniques have been widely applied in PV systems to make a PV array generate maximum power, which depends on solar irradiation. In most applications of MPPT technologies, MPPT algorithm design methods are performed and tested under slowly changing atmospheric conditions such as irradiation and temperature. The short-term effect under rapidly changing irradiation should be considered, however, to improve the dynamic performance of PV system. Our proposed MPPT method is based on an incremental conductance algorithm with a direct control scheme that can directly adjust the duty cycle for the PI controller. A fuzzy membership function is adopted to determine the variable step size according to rapidly changing irradiation. The proposed methods thus has not only faster dynamic performance but also high tracking accuracy. In order to show the effect of the proposed method, the simulation model and proposed MPPT is designed with MATLAB/Simpower and simulated with MATLAB/Stateflow.

scholarly journals MPPT for Photovoltaic System Using Nonlinear Controller

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ramsha Iftikhar ◽  
Iftikhar Ahmad ◽  
Muhammad Arsalan ◽  
Neelma Naz ◽  
Naghmash Ali ◽  
...  
Keyword(s):  
Environmental Conditions ◽  
Weather Conditions ◽  
Buck Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Nonlinear Controller ◽  
Pv System ◽  
Pv Array ◽  
Increasing Demand ◽  
Power Point

Photovoltaic (PV) system generates energy that varies with the variation in environmental conditions such as temperature and solar radiation. To cope up with the ever increasing demand of energy, the PV system must operate at maximum power point (MPP), which changes with load as well as weather conditions. This paper proposes a nonlinear backstepping controller to harvest maximum power from a PV array using DC-DC buck converter. A regression plane is formulated after collecting the data of the PV array from its characteristic curves to provide the reference voltage to track MPP. Asymptotic stability of the system is proved using Lyapunov stability criteria. The simulation results validate the rapid tracking and efficient performance of the controller. For further validation of the results, it also provides a comparison of the proposed controller with conventional perturb and observe (P&O) and fuzzy logic-based controller (FLBC) under abrupt changes in environmental conditions.

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