A SYSTEM TO DETERMINE A DAY-AHEAD LOADING PATTERN OF HEAVY MACHINERIES IN INDUSTRIES AND PROACTIVE CONTROL OF PEAK LOAD OVERSHOOT

摘要

The invention discloses to a system to determine day-ahead loading pattern forecast of heavy machineries in industries and proactive control of peak load overshoot by curtailing pre-designated individual heavy machineries. The system uses artificial neural networks to predict the load on a day-ahead basis by learning from the historical load and weather data. Further to that, the system was designed, broadly comprising –transmitter station which receives load and weather data for training the neural network, microcontroller based switching system w h ich r ec ei v es t h e n ex t d a y ˊ s f o r ec asted p o w er a n d cr ea tes n ec es s ar y co n tr o l p ac k ets f o r transmission, communication system on transmitter side comprising of Ethernet controller and wireless radio frequency transmitters, signal conditioners, Ethernet controller and wireless receiver on receiver side for controlling the relays that turn ON/OFF loads. Inferring anticipated peak load times from the forecasted data, a switching circuit sends appropriate transmission data packets to switch ON/OFF individual loads either through wired, local area network or wireless communication modes depending on operation and control requirements. The switching system comprises of a microcontroller, Ethernet controller, and wireless transmitter on the control side and receivers, signal conditioners and relays on load side. The invention aids in load scheduling on a proactive basis by curtailing peaking of load before the contractual demand limit is exceeded and thereby avoiding penalties to power utility companies.