Zone-Wise Optimal Operation Policy and Evaluation of System Performance Measures
By: Sujit Kumar
.
Contributor(s): Parhi, P. K.
Publisher: USA Springer 2021Edition: Vol, 102(4), December.Description: 1129-1138p.Subject(s): Civil EngineeringOnline resources: Click here
In:
Journal of the institution of engineers (India): Series ASummary: zone-wise(conservation and flood control zone) operating policy has been developed for the Maithon multipurpose reservoir, situated on Barakar River, a major tributary of Damodar River, of Jharkhand and West Bengal, India. Conservation zone policy has been designed for the purpose of adequate water supply to different sectors while flood control zone policy for real-time flood protection. Hedging rule is applied through Monte Carlo simulation (MCS) in which twelve number of discrete rationing factor (random variable for 5000 iteration) has been considered for respective month to hedge the water to derive an operating policy for conservation zone whereas statistical approach is used to derive the operating policy for flood control zone to mitigate the flood. Under the flood control, a policy has been derived to release flood at different levels of flood control zone to mitigate flood. Further three storage performance indicators reliability (ratio of the number of times the target demand was satisfied to the total number of times the reservoir was operated), resilience (ratio of the number of times the system moved from failure to success, to the total number of periods the system was in failure state) and vulnerability (maximum period deficit) has been investigated to check the system performance measures of Maithon reservoir.
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School of Engineering & Technology (PG) Archieval Section | Not for loan | 2021-2022547 |
zone-wise(conservation and flood control zone) operating policy has been developed for the Maithon multipurpose reservoir, situated on Barakar River, a major tributary of Damodar River, of Jharkhand and West Bengal, India. Conservation zone policy has been designed for the purpose of adequate water supply to different sectors while flood control zone policy for real-time flood protection. Hedging rule is applied through Monte Carlo simulation (MCS) in which twelve number of discrete rationing factor (random variable for 5000 iteration) has been considered for respective month to hedge the water to derive an operating policy for conservation zone whereas statistical approach is used to derive the operating policy for flood control zone to mitigate the flood. Under the flood control, a policy has been derived to release flood at different levels of flood control zone to mitigate flood. Further three storage performance indicators reliability (ratio of the number of times the target demand was satisfied to the total number of times the reservoir was operated), resilience (ratio of the number of times the system moved from failure to success, to the total number of periods the system was in failure state) and vulnerability (maximum period deficit) has been investigated to check the system performance measures of Maithon reservoir.
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