Single agents in smart grids

Abstract

This paper aims to present the development of Single Agents for the energy management of electric energy sources including PVs in buildings from the one hand and acheiving the implementation of Demand Side Management strategies on the other. Actions of electric utilities by TSOs/DSOs could influence the amount or timing of customers' energy demand, in order to utilize scarce electric supply resources more efficiently. Using Smart Metering, consumers receive signals that reflect the actual price of electricity, which fluctuates in response to supply and demand. A Single Agent Thermal Model-Based Predictive controller is developed implementing super cooling/heating strategies, through which a building or a building part is pre-cooled/pre-heated during low peak periods achieving peak shaving in an acceptable way by the users regarding the thermal comfort issue. A pilot application of Single Agents is implemented in a building in Greece, and the results are analysed and presented

ZigBee wireless smart plug network with RSSI multi‐lateration‐based proximity estimation and parallelised machine learning capabilities for demand response

“…All end nodes employ standard 2.4 GHz ZigBee radios with a receiver sensitivity of −96 dBm and integrated printed circuit board antenna gain of −0.5 dB. Therefore, the maximum link margin between a router and an end node is 113.5 dB [23]. The authors also spent multiple months trying to incorporate the Omron D6T high sensitivity micro‐electromechanical system (MEMS) thermal sensor into their design.…”