Improvement of Self-Predictive Incremental Conductance Algorithm with the Ability to Detect Dynamic Conditions

This paper presents a new version of the incremental conductance algorithm for more accurate tracking of the maximum power point (MPP). The modified algorithm is called self-predictive incremental conductance (SPInC), and it recognizes the operational region. It is capable of detecting dynamic conditions, and it detects sudden changes in power resulting from changes in the intensity of radiation or temperature. By selecting the appropriate step size, it obtains maximum power from the panel at any moment. The improved algorithm reduces output power ripple and increases the efficiency of the system by detecting the operating area and selecting the appropriate step size for each region. The SPInC algorithm divides the system’s work areas into three operating zones. It calculates the size of the appropriate step changes for each region after identifying the regions, which allows for more accurate tracking of the MPP and increases the system efficiency at a speed equal to the speed of the conventional method. These additional operations did not result in a system slowdown in the tracking maximum power. According to the MATLAB/Simulink simulation results, the SPInC algorithm is more efficient than conventional InC, and the ripple output power is reduced. SPInC is also compared to the improved perturb and observe (P&O) algorithm. In general, SPInC can compete with the popular algorithms that have been recently proposed for MPPT in the other researches.

System Design of MPPT Incremental Conductance on Zeta Converter Connected Solar Panel

MPPT Incremental Conductance algorithm has a function to obtain maximum power points on a solar panel. This MPPT Incremental Conductance works based on the P-V curve of the solar panel. In order to obtain better power results, the MPPT Incremental Conductance system will be connected to the zeta converter. The zeta converter is a DC-DC converter that is a development of the SEPIC converter. This converter can also produce good efficiency. In this research will compare the power generated with 2 different methods, solar panels connected with zeta converter without using MPPT Incremental Conductance and solar panels connected zeta converter using MPPT Incremental Conductance. The result of the research obtained is that solar panels connected to zeta converter using MPPT Incremental Conductance can produce better power than not using MPPT Incremental Conductance.

Implementasi Sistem Kendali MPPT Panel Surya Berbasis Algoritma Incremental Conductance

Solar power plant (PLTS) is a renewable energy power plant that is starting to develop in Indonesia as fossil energy is decreasing as the main energy source for electricity generation. This PLTS works by converting sunlight energy into electrical energy using solar panels. Increasing the efficiency of PLTS can be done by controlling the solar panels at their maximum power point. The maximum power point of the solar panels can be obtained by finding the maximum solar radiation or by controlling the output voltage of the solar panels at the maximum power point using a power converter. This research proposed a maximum power point of solar panels by regulate the output voltage using boost converter, which is also called the maximum power point tracking (MPPT). MPPT control system is proposed using an incremental conductance algorithm which is implemented using Arduino Mega 2560 programmed with Matlab simulink. MPPT control system is designed for four 50 WP solar panels connected in parallel. The experimental results show that the proposed MPPT control system with the incremental conductance algorithm is able to control the output power of the solar panels at the maximum point