Photovoltaic system modeling with fuzzy logic based incrimental conductance tracking algorithm

Autor: Nuca Ilie, Cazac Vadim
Rok vydání: 2017
Předmět:
Zdroj: 2017 International Conference on Modern Power Systems (MPS).
DOI: 10.1109/mps.2017.7974423
Popis: Each solar cell has a characteristic current-voltage (IV) curve reflecting its response to both temperature and the incident light level. The key component providing efficiency is the converter, which generates power compatible with consumers. The converter must be adjusted according to the changing conditions of the solar cell array. This is generally achieved using the algorithmic method for continuous maximum power point tracking (MPPT) i.e. the product between Voltage and Current shall be maximum. Using MPPT, converter can use the optimum combination of voltage and current, providing effectively energy to a load. The main goal of this paper is to implement the Incremental conductance MPPT algorithms in MATLAB/ Simulink based on fuzzy logic and determine if the Incremental conductance algorithm implemented by fuzzy logic is optimal for controlling MPPT in order to establish the maximum power generated by the PV systems function of incident irradiation and PV cell temperature for different types of load. For this analysis it was simulated the PV system with incremental conductance algorithm implemented by fuzzy logic at different levels of irradiation and temperature and with two types of resistive load and accumulator battery and in the end there are presented the results of the carried out simulations.
Databáze: OpenAIRE