02959nas|a2200253 i 450000500170000000800410001703500150005810000480007324500450012126000520016630000100021849000520022850001760028050200850045652017560054165000360229765000310233370000330236470000470239770000450244471000670248981000840255685600650264020260818170856.0271198s1987    th  uzm rtt  00|  a1eng d  a.b104827871 aSilva, Agampodi Rukmin Devapriya Shanthilal10aOptimum operation of cascaded reservoirs  aBangkok :bAsian Institute of Technology,c1987  a41 p.1 aResearch studies project report ;vno. ET-87-23  aA research study (12 credits) submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Environment, Resources and Development  aResearch Studies Project Report (M. Eng..) - Asian Institute of Technology, 1987  aElectricity consumption of a country is a typical indicator  of its economic growth . Hydro-energy has been one of the  promising solutions in electricity generation both in the  developed and developing world. As a result , cascaded reservoirs  have become a common feature in most of the power systems . The  present study analyses a method for deter mining the monthly  operating policy of a power system of n reservoirs in cascade,  with a special application to the Mahaveli River scheme in Sri  Lanka.  The method consists of rewriting the stochastic non -linear  optimization problem of n state variables as n -1 problems of two  state variables, which are solved by Dynamic Programming, as the  De composition method. The optimal policy obtained b y this method  for the reservoirs is a function of the water content of that  reservoir and of the tot al amount of potential energy stored in  the down stream reservoirs.  In this study, a strict correlation among natural inflows at  different dam-sites, was assumed . The times of water travel  between upstream and down stream are not taken in to account,  assuming that is to be shorter than a month . Water losses in  reservoirs due to seepage and evaporation are neglected . It is  further assumed that there are no competing uses for the water in  storage .  In the initial stage of the study, a computer programme was  developed, based o n the simplified version of the Decomposition  algorithm. The sample data provided in the hypothetical system  of TURGEON' s work( 1 9801, were used to check the programme. The  same met h o d was applied for the four selected reservoirs in the  Mahaveli River Scheme in Sri Lan ka, in order to obtain the  optimal releases of individual reservoirs. 0aReservoirsxMathematical models 0aHydroelectric power plants1 aLucas, N.J.D., eChairperson1 aBogardi, Janos J., eExamination Committee0 aPrida Wibulswas, eExamination Committee  aCommission of European Communities ( CEC), eScholarship Donor2 aAsian Institute of Technology.tResearch studies project report ;vno. ET-87-23  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B19009