Design of arduino-based loading management system to improve continuity of solar power supply

Abstract

<p>Solar power plants using environmentally friendly technology in the process of harvesting energy from the sun can be a solution to the future electricity crisis so that it has been the most widely developed and reliable alternative. However, the conversion of solar energy depends on the availability and conditions of sunlight. In sunny conditions, the PV system can serve large loads while charging the battery to the maximum. While in cloudy weather conditions or at night, the PV system serves the load and without charge of the battery. The battery will discharge the stored energy until it runs out, and the supply to the load will be cut off before the desired time. Therefore, research on the PV system loading management system is needed to increase the amount of electricity from solar energy and maintain the continuity of electricity supply to the load. The load power management strategy follows the conditions of sunny, cloudy, rainy, or night time by considering the remaining capacity of the battery that can be used. Load installations are designed to consist of low, medium, and high load installations. Simulation results show that the use of PV loading management strategies can increase the operating time of the PV system. When the remaining less than 10% battery capacity and PLN supply is available, the supply will be switched to PLN. The remaining 10% of PV battery capacity could be used to maintain electricity supply to a low load if the PLN supply interrupted. Thus, the use of a loading management strategy will increase the electricity supply from renewable energy and improve the sustainability of electricity supply.</p>

Energy management system and supervision in a micro-grid using artificial neural network technique

“…During of the system operation, a battery placed in a grid can undergo overloads for exceeding its maximum state of charge (SOCmax), deep discharges for decreasing its SOC above its minimum state of charge (SOCmin) [15]- [18]. In addition, the power supply to the installation can be interrupted in the event of a lack of renewable energy or in the case of a battery discharge (SOC<SOCmin).…”

Energy management in connected and disconnected mode of a photovoltaic system with a battery storage using an artificial neural network technique

“…During its use, a battery placed in a stand-alone network can undergo either overload when its soc exceeds 90%, or deep discharges when its soc decreases below 30% [15], [16], [17]. Based on these indications we propose a management strategy for a hybrid electric network in order to: Prevent deep discharges and overcharges of the battery and Ensure continuous power supply for the consumer [18], [19]. This strategy can be organised in four operating modes, as illustrated in the Figure 3:  Mode 1: "Charge Mode"; This Mode occurs when the power supplied by the photovoltaic source is greater than the power demanded by the load (Ppv > Pload), and battery state of charge and less than 30%.…”

Low-cost SARS-CoV-2 vaccine homogenization system for Pfizer-BioNTech covid-19 vials

“…In this work, the HK15138 servomotor was used. The servomotor is powered by the 5 V provided by the system and can be controlled by a pulse width modulation (PWM) signal implemented through the Servo library included in the arduino integrated development environment (IDE), as explained in subsection 3.2 [24]. Servomotors have already been around for some decades and they are extremely popular among roboticists due to their simple control technique, reliability and low cost [25].…”