SVIBOR - Project code: 2-11-347

MINISTRY OF SCIENCE AND TECHNOLOGY

Strossmayerov trg 4, HR - 10000 ZAGREB
tel.: +385 1 459 44 44, fax: +385 1 459 44 69
E-mail: ured@znanost.hr

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Project code: 2-11-347


DEVELOPMENT OF THE MODELS FOR WATER RESOURCES MANAGEMENT


Main researcher: MARGETA, JURE (70755)



Assistants
Type of research: applied
Duration from: 04/30/91. to 04/30/95.

Papers on project (total): 6
Institution name: Građevinski fakultet, Split (83)
Department/Institute: Water Resources Management and Environmental Engineering Adriatic-Mediterranean Centre for Water
Address: Matice Hrvatske 15
City: 21000 - Split, Croatia
Communication
Phone: 385 (0)58 523 333
Fax: 385 (0)58 524 162
E-mail: margeta@cigla.gradst.hr

Summary: Optimal exploitation of water resources is a very complex problem, which requires a detailed analysis of the system and many data of more of leess stohastic character. The reservoir operation policy for a certain period of time is defined on the basis of state of the system and input parameters forecast, using optimization model. Most models for reservoir operation optimization have employed either deterministic or stohastic dynamic programming (SDP) algorithams. Deterministic optimization algorithm application assumes that there is a perfect streamflow forecast. In contract to the deterministic algorithm the SDP approach uses the probability distribution of streamflow and generetes an operational policy for possible reservoir storage state in every time unit. Project present work of the investigation related to the optimal strategy for using the water hydro power reservoir employing the stohastic dynamic programming and Kalman filter as a predictor to calculate the best hydrologic forecast. The Kalman predictor was used to update the probability distribution of random variables of streamflow in SDP after each successive time period. Optimal operation polies are defined using the recursive algorithm dynamic programming. The result and analyses carried out show that the methodology can be successfully used as an efficient tool in the process of better reservoir operational policy definition.

Keywords: water resources, management, system engineering, simulation, optimization, pollution control, reservoir, riel time operation

Research goals: Goal of the study is to develop methodology for better planning of exploitation of water from multi-purpose reservoirs of seasonal character in accordance with: avaiable water resources, energy demand of electro-energetic systems, needs and demands of water users within the water policy, the phisycal constraints of the structure and environmental requirements.


COOPERATION - INSTITUTIONS


  1. Name of institution: INSTITUT ZA ELEKTROPRIVREDU
    Type of institution: University/Faculty
    City: 10000 - Zagreb, Croatia

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Last update: 02/28/94
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