Performance Of Stand-alone Photovoltaic Systems Research Articles

Study and evaluation of energy on the house by standalone photovoltaic systems of half-cell and full cell types

This research aimed to investigate the effectiveness and performance of standalone photovoltaic systems of the half-cell and full-cell types. In Phetchabun province, it requires 8 hours of sunlight per day between the hours of 8:00 A.M. and 4:00 P.M.. Open circuit voltage, short circuit current, DC, and AC power are continually recorded for 62 days in July and August 2020. According to the results of the solar panel efficiency test, the full and haft cell solar panels' actual efficiencies are 89.13 and 89.04% of the manufacturer's maximum power, respectively. The power generating efficiency of full-cell and half-cell types of panels was considerably different at 95% confidence. The power of 307.5 and 307.9 W for full and half-cell solar panels. By using two 345 W solar panels connected in parallel, it can produce an average voltage and current of 25.40 V and 21.62 Ah respectively, and when charged to a 100 Ah 24 V battery for 8 hours it can use electrical appliances including 350, 450, 550, and 650 W.

A new method based on charge parameters to analyse the performance of stand-alone photovoltaic systems

Abstract The monitored data in photovoltaic systems are processed to determine overall energy balances which, together with the energy efficiencies and indices of performance, give a good indication of the performance of PV systems. However, the analysis based on energy parameters shows some shortcomings when they are used to analyse the performance of stand-alone photovoltaic (SAPV) systems, especially those without Maximum Power Point Tracker (MPPT). This kind of systems represents a large percentage of the SAPV systems (e.g. demonstration projects, consumer and industrial applications, Solar Home Systems in developing countries, etc.). This paper tries to give an alternative method that manages to analyse this kind of systems in a better way. This method is based on a translation of the energy parameters given by the Joint Research Center and the IEC Standard 61724 into new charge-related parameters. It must be said that charge parameters can be used by themselves to evaluate the system performance. Therefore, it is not necessary to deduce energy parameters using the nominal battery voltage. The monitored data of two SAPV systems without MPPT are used to compare the performance of these systems based on energy parameters with the analysis provided by the new charge parameters. This study will highlight the advantages of the charge parameters method.

Performance of stand-alone photovoltaic systems using measured meteorological data for Algiers

In order to estimate the performance of photovoltaic (PV) systems, we develop a real time expert system based on central microcomputer used as microserver and easily consultable with different automatic stations. We present in this paper, the principles and specificities of the measurement system and of the automatic data measuring device and its sensors, and also some aspects of the database and expert system developed for this application. We propose a method based on the determination of the loss-of-load probability (LLP), which allows the estimation of the optimum combination of battery capacity ( C s) and photovoltaic array peak power ( P c). The problem consists of determining the combination which corresponds to a minimum total system cost.

Prediction of a photovoltaic system performance using cumulative frequency curves of radiation

Abstract The system performance of stand-alone photovoltaic systems is analysed. From the hourly radiation data for Bangkok (from 1984 to 1987) the cumulative frequency curves of radiation are generated and a typical meteorological day (TMD) is created each year. The system performance is determined using both the TMD radiation and the actual radiation values. The comparison results show that the TMD method can be applied for the sizing of stand-alone photovoltaic systems. The storage batteries of realistic sizes usually exhibit a daily cyclic variation in state-of-charge, with constant load consumption. Only very large and unrealistic sizes of batteries show a seasonal variation in state-of-charge. This is the fact that prompted the attempt to predict the system performance for a season by using a single representative day (TMD) of that season. Apart from giving reliable results, the TMD method significantly reduces the computation time and simplifies the process.