Abstract

This paper discusses the simulation framework developed for an in-campus pilot micro-grid at MCAST, Malta, to enhance its efficiency and reliability. One year of real-time metered data were used to arrive at the load curves, categorize the loads as essential and non-essential ones, and decide the micro-grid domain within MCAST. The potential scenarios were modeled to observe the behavior of the present status of the micro-grid, with an increased photovoltaic (PV) generation capacity, by using an optimum battery storage system with a diesel generator of suitable capacity and finally integrating electric vehicles (EVs) to discuss the potential of vehicle to grid (V2G) operation modes. The existing building management system (BMS) of MCAST was interfaced within the micro-grid to introduce the geographic information system (GIS) and Building Information Modeling (BIM) for developing an intelligent 3D model of the micro-grid. The results of the simulation framework for various potential case scenarios were obtained in a MATLAB/Simulink environment to assess the performance of the micro-grid. Previously formulated key performance indices (KPIs) that describe the financial aspects of micro-grid operation and ecological benefits of the investigated micro-grid were evaluated. A sensitivity analysis of these KPIs shows encouraging results with the potential of cost-competitiveness.

Highlights

  • The commercial use of electricity started only towards the end of the nineteenth century

  • For PV generation, a peak of 25 kW is observed between 12 p.m. to 2 p.m., ensuring the absence of surplus energy generation as the load demand curve is developed by only the absence of surplus energy generation as the load demand curve is developed by only considering the essential loads without adding the non-essential ones

  • This paper investigates the performance of the MCAST micro-grid

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Summary

Introduction

The commercial use of electricity started only towards the end of the nineteenth century. This shift in thinking has come about on considerations of (i) the development of competitive technologies and systems of renewable sources like solar and wind; (ii) difficulties in getting right-of-way for constructing new transmission lines; (iii) customers’ demand for a highly reliable supply of electricity; (iv) deregulation of electrical generation, transmission, and distribution markets; and (v) the need to limit GHG emissions These factors are responsible for a growing interest in the study of micro-grids, especially in finding ways to control the micro-grids so that they can support the main grid by helping in the demandside management of loads (shaving off or shifting away from some load during peak hours), by meeting partially active or reactive power needs of the grid during a disturbance, by feeding the essential loads in the domain of the micro-grid in islanded mode. The paper concludes with a summary and an assessment of the performance of the micro-grids, especially in the Mediterranean region

MCAST Micro-Grid
Electrical Network
Electrical
Feeders
Energy Profiles
Effect
Monthly
Daily Load-Generation Curve
Scholastic Day Analysis
Weekend Analysis
Formalization of DERs
Diesel Generator
Modeling Potential Scenarios using a Simulation Framework
Without Energy Storage
10. The without BESS
11. The behavior of MCAST micro-grid micro-grid without without BESS
With Integrated Energy Storage and Diesel Generation
16. The of MCAST micro-grid integrated and150
With Integrated Electric Vehicles
A Performance similar application
Key Performance Indices
Reduction of GHG Emissions
Coverage from PVs
5.12. Asymmetric
Sensitivity Analysis
31. Sensitivity
Findings
Conclusions

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