Analysis Performance of Grid Tie Photovoltaic Type Polycrystalline Using Solar Irradiance Simulation

Abstract

Indonesia is a country consisting of several islands some of which are still not covered by electricity. It is this source of PV that can be used to meet the needs of people who are not yet affordable with PLN electricity. Basically, PV includes the generation of new renewable energy types. This new form of energy comes from sunlight. Using semiconductor materials can convert energy from sunlight to electrical energy. Because in Indonesia this includes tropical climates located on the equator line, making Indonesia has a very high intensity of light. Several factors affect electrical energy, namely the extent of PV to be used, the total irradiance received by PV, the decrease in performance due to weather and cleanliness of the PV used such as snow and oiliness. In this study explained the Analysis of Irradian-based Grid Tie photovoltaic performance with Polycrystalline PV types. Taking irradian data using a Solar Power Meter, irradiance and temperature data at a certain time will use the Incremental Maximum Power Point Tracking (MPPT) method, DC-DC boost converter, inverter, voltage source converter (VSC) using algorithm and equipment controls connected to network. This research is simulated using Matlab with the Simulink program.

Fault detection using acceptance ratio analysis on polycrystalline grid-connected photovoltaics system

“…There have been different kinds of research on fault detection. These studies include fault detection using cables to capture losses using mathematical diagnostic methods [15], output ratio (PR) measurement, voltage, and current observation [16], [17] array and grid power loss analysis [18]− [20], artificial neural network [4], [21]- [23] environment conditions [8], [9], temperature variation [24]− [27] and experimental method [17]. A few other fault detection techniques have been introduced on the Int J Pow Elec & Dri Syst ISSN: 2088-8694 …”