Abstract

Future generation power grids will require the introduction and deployment of distributed energy resources to meet modern-day load requirements. Consequently, we expect to see a rise in microgrids (MGs) existing as part of the main grid (grid-connected) or independent (islanded). Contained in these microgrids are a combination of energy resources such as solar, wind and fossil fuels coupled with storage devices, electric vehicles and smart devices supporting the prosumer operation. However, the addition of renewable energy resources would mean fluctuations in energy supply which would cause power system instability if not managed effectively. Hence, to maximize the management flexibility of MGs, the concept of microgrid software definition is introduced. A concept that can be looked at as giving the microgrid an operating system to improve operation response and event detection by maintaining a global view of the network. This paper therefore critically analyses what this entails by presenting an architecture for Software-Defined Microgrids (SDMGs) and discussing the management opportunities that softwarization of the MG introduces. We also highlight the design requirements and associated challenges in implementing and deploying SDMGs.

Highlights

  • T RADITIONAL power grids have long been faced with reluctance by power utility companies to adopt modern digital communication technologies for effective control of grid stability [1]

  • We marry this requirement of a robust cyber-physical framework with the opportunities featured in Software-Defined Networking (SDN)-based MGs

  • This paper discussed in detail the concept of a SDMG

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Summary

Introduction

T RADITIONAL power grids have long been faced with reluctance by power utility companies to adopt modern digital communication technologies for effective control of grid stability [1]. While it is necessary to push for renewable power generation and integration, there is need for greater system control if power system stability and efficiency is to be maintained. Some implementations require supply and distribution over a very vast area such as desert locations with very long distances between power source and consumers. In Australia for example, such distribution needs have been encountered and mostly it is not feasible to run power lines across large desert distances. As such power utility companies have resorted to development of microgrids in the required remote locations. The management of power grids based on traditional SCADA was limited to minimal control functions and generally rigid [8].

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