Non-Intrusive Measurement Technology And Its Application In Demand Response Automation System

The real-time balance of power generation is one of the key characteristics of power system operation.With the improvement of electrification,the peak and valley difference of power grid is gradually widened.On the one hand,during the peak period of electricity consumption,the power restrictions in East China and central China power grid are serious;on the other hand,during the valley period of electricity consumption,the Northeast and Northwest Power Grid abandon the wind and light frequently.The gradual connection of the distributed power supply will also lead to the implementation difficulty and workload of the load control increase significantly.Therefore,Load demand response has become a hot spot of power system optimization in recent years.It is necessary to investigate the composition,characteristics and usage habits of the user's electrical equipment.Non-intrusive measurement technology,which needs to install monitoring equipment only at home meters,can monitor loads inside the homes,and is suitable especially for small users.It is relatively lack of engineering applications,although researches in theory are rich.This paper focuses on the application of the non-intrusive measurement sub-system of an auto demand response demonstration project in Tianjin.The overall structure of the non-intrusive measurement system,the structures of the hardware and software module and communication protocol,and an experiment platform are designed in this paper.Load identification features containing non-inverter air conditioners and water heaters are found,and thus the corresponding identification algorithms.Finally,a non-invasive measurement system is developed.The results show that the design of the non-intrusive measurement system runs well,after seven months of trial operation.The device is stable and reliable and the monitoring results are correct.It proves that the system has achieved the intended effects.The monitoring results show that the typical user has the 800 W peak value of an air conditioner and 1400 W peak value of an electric water heater,which provides a valuable basis for the demand side to response peak clipping and valley filling.