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BSES geared up to meet Delhi's winter power demand
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SME Times News Bureau | 03 Dec, 2019
Peak power demand in Delhi this
winter is expected to go up to 4,700 MW and the two BSES discoms in the
national capital are geared up to ensure that adequate electricity is
available in this period, the company said on Tuesday.
A BSES
release said the peak power demand in BSES Rajdhani Power Ltd. (BRPL)
and BSES Yamuna Power Ltd (BYPL) areas had reached 1,926 MW and 1091
MW, respectively, during last winter.
"This year, it is expected
to reach 2,020 MW and 1,165 MW for BRPL and BYPL respectively. Besides
long-term arrangements, BSES discoms are also using advanced techniques
like Banking, Backdown and Power Exchange to dispose off surplus power,
ensure reliable power supply and making arrangements to get power during
summer months," the statement said.
"In case of any
unforeseeable contingency, BSES discoms will buy short term power from
the exchange which is available at economical rates and can range
between (around) Re 1 to over Rs 4 per unit during winter months,
depending on the time-slot," it said.
"The backbone of BSES'
power-supply arrangements during the winter-months includes long-term
agreements from power-plants like Dadri (stage 1 & 2), hydro
stations, Singrauli, Rihand, Sasan, DVC Mejia and Delhi based gas fueled
generating stations. Additionally, BSES is also receiving 50 MW of wind
power and 20 MW of solar power from SECI," it added.
The company
said that for taking care of the summer demand and to optimally manage
the winter surplus, BSES discoms export and bank surplus electricity
with other states.
"BRPL will bank between 267 MW and 278 MW with
states like Himachal Pradesh and Manipur. On its part, BYPL will return
around 235 MW to states like Himachal Pradesh, Meghalaya and Goa from
whom it had taken the quantum during the summer-months," a BSES official
said.
To better meet present day demand, BSES said it uses a mix
of in-house advanced statistical forecasting models and
state-of-the-art weather forecasting solutions, including artificial
intelligence (AI) and machine learning.
"Domain expertise
provided by IMD-POSCO also helps. These help discoms build advanced
models, which leads to high accuracy planning and huge saving of
man-hours and cost," a spokesperson said.
According to BSES,
"this accurate day ahead, intra-day and medium term demand forecasting
is vital for optimal and cost effective planning in ensuring reliable
power supply to consumers at an optimal cost."
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