Based on a detailed Monte-Carlo simulation, the effects of hedging parameters namely, starting water availability (SWA), ending water availability (EWA) and hedging factor (HF) on reservoir storage performance indicators have been investigated within the storage-yield plane of over-year reservoirs. Also, trade-off relationships between the various storage performance indicators are developed and selection of reasonable compromising hedging policies based on performance criteria is attempted for over-year reservoirs. Regions within the storage-yield plane of over-year reservoirs where hedging would be effective are identified. This would help the reservoir managers in mitigating the severity during long stretched critical drought periods.

Kasthrirengan Srinivasan

M. C. Philipose

Computer simulation

Drought

Monte Carlo methods

public policy

ENDING WATER AVAILABILITY (EWA)

RESERVOIR HEDGING

STARTING WATER AVAILABILITY (SWA)

Reservoirs (water)

Water availability

WATER RESOURCE MANAGEMENT

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

Effect of Hedging on Over-Year Reservoir Performance

Water Resources Management

Failures in operation of water supply reservoir systems are often unavoidable during critical hydrologic periods. The failure characteristics of such systems can be represented by performance indicators such as reliability, resilience, and vulnerability. A mixed-integer programming model for the operation of a water supply reservoir during critical periods has been presented in the literature that incorporates these performance indicators. An improved formulation of this model that represents resilience more completely is discussed herein. In addition, a set of constraints with binary integer variables are included to account for reservoir spills. The improvements achieved with the modified model is demonstrated using the same example as presented with the original model.Failures in operation of water supply reservoir systems are often unavoidable during critical hydrologic periods. The failure characteristics of such systems can be represented by performance indicators such as reliability, resilience, and vulnerability. A mixed-integer programming model for the operation of a water supply reservoir during critical periods has been presented in the literature that incorporates these performance indicators. An improved formulation of this model that represents resilience more completely is discussed herein. In addition, a set of constraints with binary integer variables are included to account for reservoir spills. The improvements achieved with the modified model is demonstrated using the same example as presented with the original model.

Journal of Water Resources Planning and Management

Mixed-integer programming model for reservoir performance optimization

A hedging policy is characterized by three parameters, namely, starting water availability (SWA), ending water availability (EWA) and hedging factor (HF). The effects of these three parameters on the reservoir performance indicators have been evaluated and discussed for a southwest monsoon-dependent within-year reservoir system in southern India. For the performance evaluation, synthetically generated periodic inflow sequences from a periodic autoregressive model have been used. Quite a number of the 1800 hedging policies considered for the reservoir system, yield a better overall performance compared to the standard operating policy (SOP). Reliability, Resilience and vulnerability are found to increase with SWA for a specified EWA. On the other hand, all these performance indicators are found to decrease with EWA for a specified SWA. Hence, it is desirable to start the hedging at reasonably high SWA. All performance indicators remain practically constant at higher ranges of EWA for a given SWA. If hedging is started when there is enough water in storage, reliability, resilience and average deficit increase with degree of hedging, whereas vulnerability decreases significantly up to a hedging factor of 0.3. An interactive computer program has been developed for the selection of compromising hedging policies, and its usefulness has been discussed. © 1996 Kluwer Academic Publishers.

Evaluation and selection of hedging policies using stochastic reservoir simulation

Water‐Supply Operations during Drought: Continuous Hedging Rule

Reservoir‐System Simulation and Optimization Models

Water Resources Research

Effects of hedging on reservoir performance

A Programming Model for Analysis of the Reliability, Resilience, and Vulnerability of a Water Supply Reservoir

Journal	Data powered by TypesetWater Resources Management
Publisher	Data powered by TypesetSpringer Netherlands
ISSN	09204741
Open Access	No