Case study on using non-intrusive load monitoring system with renewable energy sources in intelligent grid applications

Abstract

This paper identifies the problem of the non-intrusive load monitoring method of load disaggregation into separate appliances, when some local generators based on renewable energy sources are connected to the same grid, as they may be mismatched with loads variable in time. Three approaches of electrical energy consumption disaggregation from the energy generated from local renewable energy sources are described.

Delay-Aware Energy-Efficient Joint Power Control and Mode Selection in Device-to-Device Communications for FREEDM Systems in Smart Grids

“…Power control decisions are done based on the proposed data rate values that are dependent to the size of IEM report at each transmission phase. The proposed data rate of each IEM is obtained by calculating the minimum data rate, R min i,t , the maximum data rate, R max i,t , and the average data rate, R ave i,t at timeslot t. Based on (7) and (8), the maximum data rate of IEM i can be derived as…”

“…When an IEM in the fault zone, it will be isolated from the grid to protect other normal zones from any cascading failure due to fault current. In this situation, the IEM and all loads in the fault zone are powered by local energy sources, such as small wind turbines, photovoltaic panels and local energy storage equipment [8], which have limited power supply. Therefore, energy efficiency is critical in this kind of situations to ensure that reports of the IEMs can be transmitted to the control center successfully.…”