Starvation free optimal energy scheduling and Data analytics techniques for smart energy Systems

Abstract

Abstract newlineSmart city is one of the application areas which uses information and communication newlinetechnology (ICT) for providing various services such as smart governance, smart resource newlinemanagement, smart healthcare, smart transportation and public safety. The smart newlineelectric energy management is one of the important services in a smart city, where the newlineprimary concern is to utilize energy resources efficiently. Electric energy is one of the newlinevital resources in today s world and need to be utilized in such a way to maintain balance newlinebetween demand and supply. As the energy demand and global warming problem newlineincrease worldwide, smart grid emerges as one of the promising solution which improve newlinethe reliability, efficiency, sustainability and economics of the electrical energy in newlinegeneration, transmission and distribution. In smart grid, microgrid have the potential to newlinetransform the existing electric grid to the future smart grid. The microgrid consist of newlinevarious distributed energy resources (DERs) (such as solar and wind generators), storage newlinedevices and loads that can be operated in a controlled way, while connected to utility newlinegrid or while islanded. Nowadays, the penetration of renewable energy resources into newlinedistribution system by way of microgrids has greatly increased thereby reducing carbon newlinefootprints, improving the power quality, reliability and reduction in distribution loss as newlinecompared to conventional distribution systems. Specific energy management schemes newlineare being modeled and implemented to increase the penetration of renewable energy newlinesuch as wind and solar energy. There is always an issue of demand-supply mismatch newlinedue to highly variable and intermittent nature of renewable energy resources. Some newlinemicrogrids have excess energy than their load; called as provider microgrids, whereas newlinesome microgrids, which requires more energy than their generation capacity; called as newlineconsumer microgrids. It is beneficial to trade/share microgrid generated energy among newlinemicrogrids by forming a multi-microgrid system through internal tra