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Journal ArticleDOI

Improved operating policies for multipurpose use: A case study of Bhadra Reservoir

01 Nov 1986-Sadhana-academy Proceedings in Engineering Sciences (Springer India)-Vol. 9, Iss: 3, pp 157-176
TL;DR: In this paper, the operation of Bhadra reservoir project is studied using optimization (overyear and within year storage model) and simulation (with both historic and synthetically generated monthly streamflows) based on a 52-year record of monthly inflow data for irrigation and hydropower generation.
Abstract: The operation of Bhadra reservoir project is studied using optimization (overyear and within year storage model) and simulation (with both historic and synthetically generated monthly streamflows) based on a 52-year record of monthly inflow data for irrigation and hydropower generation. Bed turbine operation is found to be the key issue in maximizing the total hydropower production. The reservoir operation is studied for thirteen different policies of bed turbine operation using simulation. These simulation runs are carried out for a specified irrigation demand with historic data. The probability distribution of the maximum possible hydropower production is arrived at by simulating the reservoir operation with 4 different sets of synthetically generated monthly streamflows, each having sequences of different lengths, for two promising policies. A comparison of results made with the actual operation over a 11-year period shows that substantial increase in the total hydropower generation is possible with the identified policies without undue deficits in meeting the specified irrigation demands.

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Citations
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Journal ArticleDOI
TL;DR: In this paper, a chance-constrained linear programming for-mulation for reservoir operation of a multipurpose reservoir is presented, where the release policy is defined by a chance constraint that the probability of irrigation release in any period equalling or exceeding the irrigation demand is at least equal to a specified value P (called reliability level).
Abstract: This paper presents a chance-constrained linear programming for- mulation for reservoir operation of a multipurpose reservoir. The release policy is defined by a chance constraint that the probability of irrigation release in any period equalling or exceeding the irrigation demand is at least equal to a specified value P (called reliability level). The model determines the maximum annual hydropower produced while meeting the irrigation demand at a specified reliability level. The model considers variation in reservoir water level eleva- tion and also the operating range within which the turbine operates. A linear approximation for nonlinear power production function is assumed and the so- lution obtained within a specified tolerance limit. The inflow into the reservoir is considered random. The chance constraint is converted into its deterministic equivalent using a linear decision rule and inflow probability distribution. The model application is demonstrated through a case study.

29 citations

Journal ArticleDOI
TL;DR: A comparison of the optimal monthly real-time operation with the historical operation demonstrates the relevance, applicability and the relative advantage of the proposed methodology.
Abstract: A real-time operational methodology has been developed for multipurpose reservoir operation for irrigation and hydropower generation with application to the Bhadra reservoir system in the state of Karnataka, India. The methodology consists of three phases of computer modelling. In the first phase, the optimal release policy for a given initial storage and inflow is determined using a stochastic dynamic programming (SDP) model. Streamflow forecasting using an adaptive AutoRegressive Integrated Moving Average (ARIMA) model constitutes the second phase. A real-time simulation model is developed in the third phase using the forecast inflows of phase 2 and the operating policy of phase 1. A comparison of the optimal monthly real-time operation with the historical operation demonstrates the relevance, applicability and the relative advantage of the proposed methodology.

14 citations


Cites background or methods from "Improved operating policies for mul..."

  • ...Based on this, preliminary simulation runs (Vedula et al, 1986) indicated two procedures among a total of thirteen (Mohan, 1983) for the bed turbine operation....

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  • ...Monthly irrigation demands for the Bhadra reservoir project were computed earlier (Vedula et al, 1986 ) based on the guidelines given by the Water Management Division (1971) of the Ministry of Agriculture, Government of India, and the actual canal withdrawals....

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01 Aug 1990
TL;DR: In this paper, a real-time operational methodology for multipurpose reservoir operation for irrigation and hydropower generation with application to the Bhadra reservoir system in the state of Karnataka, India.
Abstract: A real-time operational methodology has been developed for multipurpose reservoir operation for irrigation and hydropower generation with application to the Bhadra reservoir system in the state of Karnataka, India. The methodology consists of three phases of computer modelling. In the first phase, the optimal release policy for a given initial storage and inflow is determined using a stochastic dynamic programming (SDP) model. Streamflow forecasting using an adaptive AutoRegressive Integrated Moving Average (ARIMA) model constitutes the second phase. A real-time simulation model is developed in the third phase using the forecast inflows of phase 2 and the operating policy of phase 1. A comparison of the optimal monthly real-time operation with the historical operation demonstrates the relevance, applicability and the relative advantage of the proposed methodology.

1 citations

References
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Journal ArticleDOI
TL;DR: In this article, a technique of analysis is presented by which the dynamic operation policies for planning complex reservoir systems producing hydroelectric power and providing water can be optimized for the maximum return from firm water, firm power, dump water, and dump power.
Abstract: A technique of analysis is presented by which the dynamic operation policies for planning complex reservoir systems producing hydroelectric power and providing water can be optimized for the maximum return from firm water, firm power, dump water, and dump power. The technique provides for complex constraints, such as mandatory flood control reservations variable in time, fish, wildlife, and recreational releases, navigation minimum flows, etc., as well as evaporation losses and inter-basin diversions. The paper presents in detail the operational analysis of a component reservoir-river system and the procedure to be used to combine optimally a number of such subsytems into a coordinated, mutually reinforcing, multiple-river system.

129 citations

Journal ArticleDOI
TL;DR: In this paper, a mathematical model that can be useful in determining the optimum design and operation of a single multipurpose reservoir is presented, which takes into account the fact that economic returns from a project are a function of both design and operational rules.
Abstract: A mathematical model that can be useful in determining the optimum design and operation of a single multipurpose reservoir is presented. The development purposes include firm water supply, firm on-peak and dump hydropower production, flood control, and low flow augmentation. The model is based upon a two-stage optimization technique. It takes into account the fact that economic returns from a project are a function of both design and operational rules of the project. A dynamic programing algorithm which has a physical recursive equation computes the optimum operation policy of a feasible design. An iterative uniform grid sampling algorithm is then used to compare designs for which optimum operations are already determined and to select the best design. The model is applied to a hypothetical water resources project for illustrative purposes. The limitations of this mathematical model and some future research that may eliminate these limitations are discussed.

36 citations

Journal ArticleDOI
TL;DR: A mathematical model for computer studies is developed to elucidate and quantify the relations between the variables pertaining to agricultural and power uses and is designed to use standard linear programs so that operations studies can be made without recourse to sophisticated computer techniques.
Abstract: With, the completion of the High Aswan Dam it will be possible to use the water of the Nile River in many different ways for different beneficial purposes. The selection of the best method of operating the dam and developing new resources to speed economic growth and social progress is of great importance to the United Arab Republic. A large sustained multidisciplinary effort combining economic analysis, engineering design, and governmental planning will be required. It is the purpose of this paper to describe some analytical methods that will be useful in this undertaking. A mathematical model for computer studies is developed to elucidate and quantify the relations between the variables pertaining to agricultural and power uses. Other functions of the dam such as flood protection and improvement of navigation are not examined in this initial study. However, it will be possible to investigate them in a more comprehensive model using similar mathematical methods. In its present form the model is designed to use standard linear programs so that operations studies can be made without recourse to sophisticated computer techniques. The model incorporates some of the chief factors affecting efficiency of multipurpose operation for the generation of hydroelectric power and for increasing the agricultural production of the United Arab Republic. The formulation provides a logical framework on which other functions may be added at a later stage. In the last section of this paper some of the most important modifications and elaborations are discussed. The numerical data used in the present study are based on a preliminary analysis of available hydrological and economic data. Considerably more statistical analysis will be required to develop valid numerical data for the model so that reliable inferences and rational decisions can be made. The computational results at this stage are useful only in indicating the kind of inferences and the type of information that may be obtained in a more definitive study.

32 citations

Journal ArticleDOI
TL;DR: In this paper, a stochastic dynamic programming (SDP) was used to develop optimal policies for operating the multipurpose pool of the Elk City Lake in Kansas with serially correlated inflows.
Abstract: A stochastic dynamic programming is used to develop optimal policies for operating the multipurpose pool of the Elk City Lake in Kansas with serially correlated inflows. The model determines a long‐term operating policy to minimize the expected average annual loss. Using the developed optimal policy to operate the lake from 1967 through 1977 shows a marked reduction in the expected annual losses as compared with the historical operation. The sensitivity of the optimal policy and computation effort to the number of discrete states used is also investigated.

20 citations