Dynamic Performance Comparison for MPPT-PV Systems using Hybrid Pspice/Matlab Simulation
-
N. Aouchiche
,
M. Becherif
Abstract
The power generated by solar photovoltaic (PV) module depends on the surrounding irradiance and temperature. This paper presents a hybrid Matlab™/Pspice™ simulation model of PV system, combined with Cadence software SLPS. The hybridization is performed in order to gain the advantages of both simulation tools such as accuracy and efficiency in both Pspice electronic circuit and Matlab™ mathematical modelling respectively. For this purpose, the PV panel and the boost converter are developed using Pspice™ and hybridized with the mathematical Matlab™ model of maximum power point method controller (MPPT) through SLPS. The main objective is verify the significance of using the proposed hybrid simulation techniques in comparing the different MPPT algorithms such as the perturbation and observation (P&O), incremental of conductance (Inc-Cond) and counter reaction voltage using pilot cell (Pilot-Cell). Various simulations are performed under different atmospheric conditions in order to evaluate the dynamic behaviour for the system under study in terms of stability, efficiency and rapidity.
Nomenclature
- α1
Ideality factor of diode 1.
- α2
Ideality factor of diode 2.
- C1, C2
Capacities (F).
- CP
Perturbation step width.
- D
Diode
- d
Duty Cycle.
- D1, D2
diodes.
- E
Irradiance.
- I
Photovoltaic generator current (A).
- Inc-Cond
Incremental of conductance.
- ID1,ID2
Diodes current (A).
- IS
Current of saturation (A).
- ic1, ic2
Capacities currents (V, A).
- ie
Input current (A).
- io
Output current (A).
- iL
Self-inductance current (A).
- Iph
Photo-generation current (A).
- is
Interrupter current (A).
- K
Pilot-Cell factor.
- k
Boltzmann constant (JK−1).
- L
Self-inductance (H).
- M(d)
Conversion ratio.
- Ns
PV cell number connected in series.
- Pilot-Cell
counter reaction voltage using pilot cell
- P&O
perturbation and observation.
- PV
Photovoltaic.
- PWM
Pulse width modulation.
- RE
Renewable energy.
- Rp
Shunt resistance (Ω).
- Rs
Serial resistance (Ω).
- S
Switch (Mosfet).
- T
Junction temperature (K).
- Ts
Commutation period.
- Vco
Opened circuit voltage (V).
- Ve
Input voltage (V).
- Vo
Output voltage (V).
- VJ
Junction Voltage (V)
- vL
Self-inductance voltage (V).
Appendix
Appendix 1: Atmospheric conditions for test
| t (s) | E (W/m2) | T (°C) | |
|---|---|---|---|
| Linear and slow Change of irradiance | [0, 1500] | 400 | 25 |
| [1500, 2500] | [400, 1000] | 25 | |
| [2500, 3000] | 1000 | 25 | |
| Linear and rapid Change of irradiance | [0, 350] | 400 | 25 |
| [350, 500] | [300, 900] | 25 | |
| [500, 1400] | 900 | 25 | |
| Linear and slow Change of temperature T | [0, 1000] | 1000 | 0 |
| [1000, 1300] | 1000 | [0, 20] | |
| [1300, 2000] | 1000 | 20 |
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©2016 by De Gruyter
Articles in the same Issue
- Frontmatter
- Maximum Energy Extraction Control for Wind Power Generation Systems Based on the Fuzzy Controller
- Interarea Power System Oscillations Damping via AI-based Referential Integrity Variable-Structure Control
- Optimal Design of MPPT Controllers for Grid Connected Photovoltaic Array System
- Feasibility Study of Grid Connected PV-Biomass Integrated Energy System in Egypt
- Dynamic Performance Comparison for MPPT-PV Systems using Hybrid Pspice/Matlab Simulation
- Experimental Voltage Stabilization of a Variable Speed Wind Turbine Driving Synchronous Generator using STATCOM based on Genetic Algorithm
- A Novel Technique for Maximum Power Point Tracking of a Photovoltaic Based on Sensing of Array Current Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
- Application of Static Var Compensator (SVC) With PI Controller for Grid Integration of Wind Farm Using Harmony Search
- PI Passivity-Based Control for Maximum Power Extraction of a Wind Energy System with Guaranteed Stability Properties
- Dynamic Model and Control of a Photovoltaic Generation System using Energetic Macroscopic Representation
- Detecting of Multi Phase Inter Turn Short Circuit in the Five Permanent Magnet Synchronous Motor
- Power Factor Improvement for Pumping Stations using Capacitor Banks
Articles in the same Issue
- Frontmatter
- Maximum Energy Extraction Control for Wind Power Generation Systems Based on the Fuzzy Controller
- Interarea Power System Oscillations Damping via AI-based Referential Integrity Variable-Structure Control
- Optimal Design of MPPT Controllers for Grid Connected Photovoltaic Array System
- Feasibility Study of Grid Connected PV-Biomass Integrated Energy System in Egypt
- Dynamic Performance Comparison for MPPT-PV Systems using Hybrid Pspice/Matlab Simulation
- Experimental Voltage Stabilization of a Variable Speed Wind Turbine Driving Synchronous Generator using STATCOM based on Genetic Algorithm
- A Novel Technique for Maximum Power Point Tracking of a Photovoltaic Based on Sensing of Array Current Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
- Application of Static Var Compensator (SVC) With PI Controller for Grid Integration of Wind Farm Using Harmony Search
- PI Passivity-Based Control for Maximum Power Extraction of a Wind Energy System with Guaranteed Stability Properties
- Dynamic Model and Control of a Photovoltaic Generation System using Energetic Macroscopic Representation
- Detecting of Multi Phase Inter Turn Short Circuit in the Five Permanent Magnet Synchronous Motor
- Power Factor Improvement for Pumping Stations using Capacitor Banks
