Delhi recorded peak power demand in winter with consumption at 5611 MW on Jan 10

1 year ago 15

Delhi's peak power demand hit 5611 MW at 11:08 am today, marking the highest ever recorded in the city during the winter months.

Delhi power demand

Delhi's peak power demand hit 5611 MW at 11:08 am on Wednesday. (Representative Image)

Kumar Kunal

New Delhi,UPDATED: Jan 11, 2024 05:26 IST

Delhi has recorded a surge in its peak power demand as the city grapples with plummeting temperatures.

As of Wednesday, at 11:08 am, the State Load Dispatch Center (SLDC) reported that Delhi's peak power demand reached 5611 MW, marking the highest ever recorded for the winter months. This surpasses the previous winter record of 5559 MW, set on January 5 of this year.

Power supply companies, BSES Rajdhani Power Limited (BRPL), and BSES Yamuna Power Limited (BYPL), successfully met the heightened demand, providing 2350 MW and 1174 MW, respectively.

Since the beginning of the year, Delhi's peak power demand has surged by over 8 per cent, and it is projected to exceed 5700 MW this winter if this trend continues.

Except for January 2, Delhi's peak power demand in January has consistently remained above 5000 MW, underscoring consistent power supply during this period of escalating demand. This refers to power demands of nearly 50 lakh consumers and around 2 crore residents.

BSES has implemented various measures, including accurate demand forecasting and a robust distribution network, to ensure an uninterrupted power supply. These initiatives involve long-term agreements with power plants and the utilisation of over 2000 MW of green power, comprising solar, hydro, wind, and waste energy, which will contribute up to 60 per cent of the peak winter power demand.

To enhance reliability, BSES has adopted strategies like "Banking," "Power Exchange," and "Spinning Reserves."

In case of unforeseen contingencies, BSES will purchase short-term power from the exchange. The company employs advanced statistical forecasting models, including artificial intelligence and machine learning, to accurately predict power demand and ensure that the city's power needs are met, irrespective of the season.

Published By:

Srishti Jha

Published On:

Jan 11, 2024

Article From: www.indiatoday.in
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