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KMID : 0368019910140030949
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Journal of Soonchunhyang University
1991 Volume.14 No. 3 p.949 ~ p.957
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A Stochastic Model for Optimal Operation Planning of Power System with Random Inflows
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Hong Sang-Eun
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Abstract
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This paper describes a methodolgy for the solution of the annual hydro-thermal scheduling optimization problem for a real system with random inflows. The solution method is a stochastic dynamic programming algorithm with successive approximations. The radom nature of inflows to the system is treated by incorporating a stochastic inflow model directly within the daynamic programming procedure. Thermal system is modeled as one equivalent thermal unit cost curve. The successive approximations algorithm involves the solution of a stochestic dynamic programming problem for each reservoir which has as its objective the minimization of the expected discounted production cost subject to satisfying a number of constraints on the hydro and thermal system and the weekly demand which is represented by a load duration curve.
A computer program has been developed and tested with daata for a real system. Test results obtained from a case study for the Han-river hydro system in KEPCO are presented and discussed.
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