Modeling and real time digital simulation of microgrids for campuses Malta and Jordan based on multiple distributed energy resources

Abstract

<p>This paper presents the modeling and real-time digital simulation of two microgrids: the malta college of arts, science and technology (MCAST) and the german jordan university (GJU). The aim is to provide an overview of future microgrid situation and capabilities with the benefits of integrating renewable energy sources (RES), such as photovoltaic panels, diesel generators and energy storage systems for projects on both campuses. The significance of this work starts with the fact that real measurements were used from the two pilots, obtained by measuring the real physical systems. These measures were used to plan different solutions regarding RES and energy storage system (ESS) topologies and sizes. Also, the demand curves for the real microgrids of MCAST and GJU have been parameterized, which may serve as a test bed for other studies in this area. Based on actual data collected from the two pilots, a real-time digital simulation is performed using an RT-LAB platform. The results obtained by this tool allow the microgrid manager to have a very accurate vision of the facility operation, in terms of power flow and default responses. Several scenarios are studied, extracting valuable insight for implementing both projects in the future. Eventually, the proposed models would be a blueprint for training and research purposes in the microgrid field.</p>

Autonomous power sharing for AC/DC HMGS using decentralized modified droop method for interlinking converter

“…The frequency droop of the converter is 0.00008 and DC voltage droop is 0.0006. A paper on inter connected of grids is presented to overview the future of MG with RES, this grid operates on the demand curves and share the power accordingly [31]. Scheduling the power generation and loads according to the power curves this EMS adopts multi agent system techniques which functions on distributed artificial intelligence providing less complex system, more flexible system [32].…”

Data quality processing for photovoltaic system measurements

“…The operation and maintenance activities, as well as performance studies are based on high quality measurements [2]. The monitoring of meteorological and electrical variables is essential in the modeling of electrical systems, allowing the predictive evaluation, optimization, forecasting and other alternatives for the correct operation and maintenance of the PVS [3]- [11]. The scientific literature shows several forecasting studies for photovoltaic energy production.…”

Modeling and optimization of hybrid microgrid energy system: a case study of University of Abuja, Nigeria

“…Obaid et al [11] applied a PI controller for power quality improvement and PV battery energy management of a grid-connected three-phase inverter with particle swarm optimization (PSO), whale optimization (WOA), and dragonfly algorithm (DA). Khiat et al [12] determine real-time microgrid digital simulation for Jordan German University and Malta College of Science, Arts, and Technology with injection of PV, energy storage, and diesel generator system. Qachchachi et al [13] developed a global optimization technique for analyzing the energy problem comprising a hybrid microgrid system with a proper control algorithm.…”