Now showing 1 - 6 of 6
  • Publication
    Optimal Design of Solar Photovoltaic Power System with Battery Storage for Sustainable Campus Buildings
    ( 2021-06-11)
    Al-Qahdan A.S.S.
    ;
    ; ; ;
    Abdullah A.M.
    The increasing energy demand and the development of renewable energy technology has been the catalyst for utilization of energy from renewable resources. Harvesting solar energy especially through photovoltaic technology is the most attractive and favoured in Malaysia. The aim of this study is to optimally design a solar PV system with battery storage for university building and evaluate the technical performance of the proposed system by using PVsyst simulation. Three buildings from Faculty of Electronic Engineering Technology, University Malaysia Perlis have been chosen as case study. The methodologies include data gathering for load profile and meteorological data such as solar irradiation and temperature, sizing of system's components and lastly using PVsyst simulation to evaluate technical performance of the proposed system. The result shows the system could produce 168,989 kWh of energy to the load which is technically suitable for the site due to the high specific yield production and the performance ratio in addition to high solar fraction. In addition, the system could save RM 61,801 annually from electricity bill while from sustainability aspect, 117 tons of CO2 could be avoided by using renewable energy annually.
  • Publication
    A Comparative Study of Hybrid Energy Storage System using Battery and Supercapacitor for Stand-Alone Solar PV System
    The standalone solar power system has long been used to meet the electrical needs of basic building structures. To counter the natural supply-demand imbalance caused by solar energy, standalone solar PV system often include energy storage devices, primarily lead-acid batteries. Due to lead-acid battery limitations, solar systems often have higher operational costs compared to traditional power systems. It has been discovered that a supercapacitor-battery hybrid energy storage device can be used to prolong the cycle life of a battery system by reducing the charge-discharge stress caused by variable power exchange. This research examines the influence of a supercapacitor on a photovoltaic system that makes use of a hybrid energy storage system that includes both batteries and supercapacitors in order to lessen the stress placed on the batteries. The methodology involves data collection for load profile and meteorological information, designing solar PV system, and simulation using Matlab SIMULINK to study the effect of supercapacitor on battery current of the evaluated system. Three different energy storage system topologies in building applications were simulated, and their ability in managing battery stress was investigated and evaluated. From the result, it is clear that by applying passive HES system, 53% of battery current can be reduced compared to battery-only system and 92% of reduction can be achieved by using semi-active HES system.
  • Publication
    DSP based Hardware-in-the-Loop (HIL) Simulation for GCPV-based DSTATCOM using Frequency Domain Controller
    This study presents a comprehensive simulation of digital control applications for a grid-connected photovoltaic (GCPV) system using a Hardware-in-the-Loop (HIL) simulation approach that incorporates a Digital Signal Processor (DSP). The simulation is carried out using the MATLAB Simulink block set and employs a frequency domain controller as the control algorithm. The simulation inputs, which consist of voltage and current sensor readings, are processed by an ADC idealizer block that produces output based on a real-time DSP-based HIL system. The output is then utilized to generate a pulse width modulation (PWM) signal, which drives the voltage source inverter (VSI). The simulation's primary objective is to demonstrate the simplicity and efficacy of the proposed frequency domain controller design for the GCPV-based DSTATCOM system. The simulation results validate the performance of the controller under various operating conditions, including steady-state, unbalanced loads, variable solar insolation, and day-to-night transitions.
  • Publication
    Control of a multi-functional grid-connected solar PV system using instantaneous reactive power (PQ) theory for current harmonic alleviations
    In recent years, the advance usages of non-linear loads have led to the serious power quality problem in the distribution system. Non-linear load will inject the current harmonics and cause power quality problem at Point of Common Coupling (PCC). This problem can be improved by using power filter. Power filter can be divided into passive power filter and active power filter. Passive filter is an appropriate solution to solve power quality problem in term of harmonic mitigation due to a simple circuit, low cost and less energy requirement. However, active power filter (APF) is more suitable due to better performance to solve power quality problem for current harmonics issue. This paper focuses in designing the application of a multi-functional grid-connected solar PV system integrated with DSTATCOM by using Instantaneous Reactive Power (PQ) theory controller to mitigate the current harmonics injected by non-linear load at the distribution system. MATLAB/SIMULINK software is used to simulate the performance of the multi-functional GCPV based SAPF according to IEEE Standard 519:2014 which THD of the line current at the Pont of Common Coupling (PCC) should be less than 8%.
  • Publication
    Voltage Stability Prediction In Power Systems Using Modified Artificial Neural Network
    This paper presents the indicator system status in the distribution network by using the technique voltage stability index with the artificial neural network to predict the power system. Voltage stability is an indicator from value index zero (0) until one (1). The value index zero is no loading in the system bus, where else one is maximum loading in system buses. IEEE 30 bus practical system was used to test and indicator to predict the power system. Using MATLAB to program and develop Artificial Neural Networks (ANN) in distribution networks. The voltage stability indicator was trained by application ANN to predict each bus system's load status. Therefore, the voltage instability will be early to be known by using the prediction ANN. The information stability index is very important in the power system because it helps to solve the major problems in the distribution system power system.
  • Publication
    Design and Performance Analysis of Grid Connected Photovoltaic (GCPV) based DSTATCOM for Power Quality Improvements
    Solar energy has become the most prominent renewable energy for electrical power generation of the sustainable development agenda. This project focuses on power quality improvement in the low voltage distribution network by using a three-phase three-wire Distributed Static compensator (DSTATCOM) supplied by a single-stage grid-connected solar photovoltaic (GCPV) system. The instantaneous reactive power theory (IRPT) or P-Q theory will be used as the control algorithm of the PV based DSTATCOM to eliminate the harmonic current caused by the non-linear loads in the distribution system. This control method has great impact on the accuracy of the harmonic current and reactive power compensation for harmonic current elimination according to the requirement of THD limit set by IEEE 519-2014. Sizing of the grid-connected solar PV system based DSTATCOM will be presented and capable to deliver the active power demand to the utility grid under variation of solar irradiances. This system is modelled and simulated in the MATLAB/Simulink environment.