Paper title: PHOTOVOLTAIC SOLAR FARM WITH HIGH DYNAMIC PERFORMANCE ARTIFICIAL INTELLIGENCE BASED ON MAXIMUM POWER POINT TRACKING WORKING AS STATCOM
Author(s): MOHAMMED OMAR BENAISSA, SAMIR HADJERI, SID AHMED ZIDI, YOUCEF ISLAM DJILANI KOBIBI,
Abstract: The present work is willing to enlarge the field of using the solar energy power generation in order to take better advantage
of the sun radiation. In this paper a particular attention has been paid to the dynamic behavior of the grid connected PV
system, against voltage sag and voltage swell caused respectively by adding a load and then removing the same load, the
analysis has been done on IEEE 14 bus system. As an alternative to these irregular working conditions, the voltage source
converter is a key component of the PV system with the purpose of providing voltage support by generating or absorbing
reactive power at the point of common coupling, which makes it act as a real STATCOM. This novel usage of PV solar farm
can keep the bus voltages at wanted level without requiring any extra voltage control devices that could increase the whole
transmission system cost.
On the other hand the efficiency of photovoltaic generator can be improved by forcing the panel to operate at its maximum
power point, this function is guaranteed by the maximum power point tracking (MPPT), in fact numerous techniques are
described in the literature where the perturb and observe seems to be the simplest and commonly used method, however it
has many disadvantages. In this paper adaptive neural fuzzy inference system (ANFIS) based MPPT method combines the
ability of fuzzy logic to handle imprecise data and the learning abilities of artificial neural networks. It is found that this
technique can precisely track the maximum power point under various irradiance and temperature conditions. Simulation
results using Matlab/Simpower systems toolbox show an excellent waveforms quality and high performance dynamic
behavior compared to the perturb and observe technique.
Keywords: Adaptive neuro fuzzy inference system (ANFIS), Static synchronous compensators (STATCOM), IEEE 14 bus
test system, Maximum power point tracking (MPPT), Perturb and observe (P&O), Photovoltaic (PV) solar farm,
Voltage regulation, Voltage source converter (VSC) Year: 2018 | Tome: 63 | Issue: 2 | Pp.: 156-161
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