Nonlinear controller for maximum power extraction in asymmetric multilevel DC link reduced switch count inverter‐based grid connected PV system

2019 ◽  
Vol 30 (2) ◽  
Author(s):  
G. Eshwar Gowd ◽  
Dharmavarapu Sreenivasarao
Keyword(s):  
Maximum Power ◽  
Nonlinear Controller ◽  
Pv System ◽  
Power Extraction

Maximum Power Extraction from PV System Using Fuzzy Logic

2019 ◽  
Vol 7 (4) ◽  
pp. 835-840
Author(s):  
Dhruv M. Dhivar ◽  
M.B. Jhala ◽  
M. K. Kathiria
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power ◽  
Pv System ◽  
Power Extraction

scholarly journals Hybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.

scholarly journals Power Maximization in Standalone Photovoltaic System: An Adaptive PSO Approach

2022 ◽  
Author(s):  
Anbarasi MP ◽  
Kanthalakshmi S
Keyword(s):  
Weighting Factor ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Power Extraction ◽  
Power Maximization ◽  
Adaptive Pso ◽  
Power Point ◽  
Controller Board

Abstract A control strategy for power maximization which is an important mechanism to extract maximum power under changing environmental conditions using Adaptive Particle Swarm Optimization (APSO) is proposed in this paper. An Adaptive Inertia Weighting Factor (AIWF) is utilised in the velocity update equation of traditional PSO for the improvement in speed of convergence and precision in tracking Maximum Power Point (MPP) in standalone Photovoltaic system. Adaptation of weights based on the success rate of particles towards maximum power extraction is the most promising feature of AIWF. The inertia weight is kept constant in traditional PSO for the complete duration of optimization process. The MPPT in PV system poses a dynamic optimization problem and the proposed APSO approach paves way not only to track MPP under uniform irradiation conditions, but also to track MPP under non uniform irradiation conditions. Simulations are done in MATLAB/Simulink environment to verify the effectiveness of proposed technique in comparison with the existing PSO technique. With change in irradiation and temperature, the APSO technique is found to provide better results in terms of tracking speed and efficiency. Hardware utilizing dSPACE DS1104 controller board is developed in the laboratory to verify the effectiveness of APSO method in real time.

scholarly journals Investigation of Photovoltaic Grid System under Non-Uniform Irradiance Conditions

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1512
Author(s):  
Mithun Madhukumar ◽  
Tonse Suresh ◽  
Mohsin Jamil
Keyword(s):  
Maximum Power ◽  
Solar Irradiation ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Pv Array ◽  
Grid Synchronization ◽  
Incremental Conductance ◽  
Conductance Method

Photovoltaic (PV) systems have recently been recognized as a leading way in the production of renewable electricity. Due to the unpredictable changes in environmental patterns, the amount of solar irradiation and cell operating temperature affect the power generated by the PV system. This paper, therefore, discusses the grid-integrated PV system to extract maximum power from the PV array to supply load requirements and the supply surplus power to the AC grid. The primary design is to have maximum power point tracking (MPPT) of the non-uniformly irradiated PV array, conversion efficiency maximization, and grid synchronization. This paper investigates various MPPT control algorithms using incremental conductance method, which effectively increased the performance and reduced error, hence helped to extract solar array’s power more efficiently. Additionally, other issues of PV grid-connected system such as network stability, power quality, and grid synchronization functions were implemented. The control of the voltage source converter is designed in such a way that PV power generated is synchronous to the grid. This paper also includes a comparative analysis of two MPPT techniques such as incremental conductance (INC) and perturb-and-observe (P&O). Extensive simulation of various controllers has been conducted to achieve enhanced efficient power extraction, grid synchronization and minimal performance loss due to dynamic tracking errors, particularly under fast-changing irradiation in Matlab/Simulink. The overall results favour INC algorithm and meet the required standards.

Real-Time Digital Simulation and Analysis of Sliding Mode and P&O MPPT Algorithms for a PV System

2015 ◽  
Vol 16 (4) ◽  
pp. 313-322 ◽  
Author(s):  
Venkata Ratnam Kolluru ◽  
Kamalakanta Mahapatra ◽  
Bidyadhar Subudhi
Keyword(s):  
Steady State ◽  
Real Time ◽  
Sliding Mode ◽  
Boost Converter ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Step Size ◽  
Pv System ◽  
Steady State Condition ◽  
Power Extraction

Abstract This paper presents an integral Sliding Mode Controller (SMC) of a DC-DC boost converter integrated with a photovoltaic (PV) system for maximum power extraction. In view of improving the steady-state performance of the maximum power point tracking (MPPT), an integral of the error term is included in the sliding surface. The output of PV panels is connected to a DC-DC boost converter to regulate and enhance the voltage up to a desired level. By using SMC with integral term, the steady-state condition is obtained at less than 0.1 sec. With the proposed ISMC MPPT the maximum power extracted is more than 10% than the traditional Perturb & Observe (P&O) MPPT at standard test conditions (STC). The results obtained using the SMC are compared with that of the fixed step size P&O MPPT controller. The performances of the proposed sliding mode controller and the P&O controller are validated through experimentations using a Real-Time Digital Simulator (RTDS)-Opal RT.

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.

scholarly journals Particle Swarm Optimization Technique for Photovoltaic System

2020 ◽  
Vol 8 (5) ◽  
pp. 1448-1451
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Swarm Optimization ◽  
Power Extraction ◽  
Pv Panel ◽  
Particle Swarm Optimization Technique

Day by day the dependency on renewable energy uses has been increasing because of no greenhouse emission and abundant in nature available freely, this paper, presents a comparative analysis of an optimization technique called Particle Swarm Optimization (PSO) along with Perturb & Observe (P&O) for the extraction of maximum power from the PV panel. The performances of P&O and PSO techniques were compared for different insolations and temperatures. A detailed and rigorous mathematical model along with simulation results and its performance for maximum power extraction from the panel were analyzed by using P&O and PSO. It has been observed that the maximum power obtained from PSO model is more than the maximum power obtained from P&O for different insolations and temperatures. Thus PSO is much better and more suitable for extracting maximum power from PV system.

Design and Analysis of Non-linear Controller for a Standalone PV System using Lyapunov Stability Theory

2021 ◽  
pp. 1-22
Author(s):  
Narendra Kumar ◽  
Aman Sharma
Keyword(s):  
Lyapunov Stability ◽  
Stability Theory ◽  
Sliding Mode ◽  
Equilibrium Points ◽  
Lyapunov Stability Theory ◽  
Maximum Power ◽  
Hill Climbing ◽  
Sliding Mode Controller ◽  
Nonlinear Controller ◽  
Pv System

Abstract This paper presents Lyapunov Stability Theory based Nonlinear Controller Design for a Standalone PV System. The comparative analysis of different nonlinear controllers is also carried out . Due to the nonlinear characteristics of photovoltaic systems, conventional Hill-Climbing methods like Perturbate and Observe and Incremental Conductance do not show reliable tracking of Maximum Power under various uncertainties. Therefore, these methods require nonlinear tools to meet the control objectives and design specifications. Out of various nonlinear controlling techniques, the one presented in this paper is the Sliding Mode Approach for Maximum Power Point Tracking (MPPT). In context of Lyapunov Stability Theory, sliding mode approach uses a switching manifold. In this approach, the system trajectories are made to follow the sliding surface and to remain there forever to ensure the stability of equilibrium points. Two types of Sliding Mode controllers have been simulated namely Conventional - Sliding Mode Controller (CSMC) and Terminal - Sliding Mode Controller (TSMC). The results are analyzed and compared scientifically on various performance parameters including, duty cycle ratio, ideal and PV output power and time taken for error convergence, under varying dynamic conditions. All the control algorithms are developed in MATLAB/Simulink.

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