Download Dynamic programming based operation of reservoirs : by K D W Nandalal; János Bogárdi PDF

By K D W Nandalal; János Bogárdi

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T; (3:2) where Sj ¼ storage volume at beginning of period j (106 m3), Smin ¼ allowable minimum storage volume (106 m3), and Smax ¼ allowable maximum storage volume (106 m3). , 1995). RELEASE CONSTRAINT The release from the reservoir at any stage is subject to the constraints of maximum and minimum limits. The capacity of hydropower generators sets a maximum limit to reservoir release: OBJECTIVE FUNCTION The objective is to maximize the expected annual energy generation from the reservoir: ( ) T X (3:1) EPj ; OF ¼ Maximize  Rmin j¼1 Rj Rmax ; j ¼ 1; 2; .

10 Optimal operation policies to maximize energy generation of the Ubol Ratana Reservoir the corridor width in successive iterations finally results in a small discretization step size for the state variable. This is an advantage of the IDP technique since solution of the same optimization problem with that discretization step size using the conventional DP technique would require a considerable amount of computer storage and time. APPLICATION OF IDP TO THE MAHAWELI WATER RESOURCES SYSTEM Application of the IDP technique to derive optimal operation policies for a multiple-reservoir system is presented in this section based on the work of Nandalal (1986).

10 Optimal operation policies to maximize energy generation of the Ubol Ratana Reservoir the corridor width in successive iterations finally results in a small discretization step size for the state variable. This is an advantage of the IDP technique since solution of the same optimization problem with that discretization step size using the conventional DP technique would require a considerable amount of computer storage and time. APPLICATION OF IDP TO THE MAHAWELI WATER RESOURCES SYSTEM Application of the IDP technique to derive optimal operation policies for a multiple-reservoir system is presented in this section based on the work of Nandalal (1986).

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