Optimal Operation of Single Reservoir System Using Improved Artificial Bee Colony Algorithm (Case study: Dez Reservoir in Khozestan)

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MOEINI R.; SOGHRATI F.

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Paper Information

Journal: WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE) Year:2020 | Volume:30 | Issue:1 Page(s): 109-121

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Title

Optimal Operation of Single Reservoir System Using Improved Artificial Bee Colony Algorithm (Case study: Dez Reservoir in Khozestan)

Author(s)

MOEINI R. | SOGHRATI F. | Issue Writer Certificate

Keywords

Dez reservoirQ1

Improved artificial bee colony algorithmQ1

Optimal operationQ1

Single reservoir systemQ2

Abstract

In this research, artificial honey bee colony algorithm, is used to solve single reservoir operation optimization problem. For this purpose, Improved artificial bee colony algorithm is proposed using some modification in the basic algorithm. The simple and hydropower operation problems of Dez reservoir over 5-and 20-year time periods are solved using the proposed algorithm and the outputs are compared with the other available research results. In order to solve these problems, two different formulations are proposed in which the water release and storage volumes are considered as decision variables in the first and second formulations, respectively. If the first formulation of the Improved artificial bee colony algorithm is used to solve the simple reservoir operation over 5 and 20 years, the objective function values are improved %9. 94 and %55. 266 than basic artificial bee colony algorithm, respectively. If the second formulation is used to solve simple reservoir operation over 5 and 20 years, the objective function values are improved %14. 63 and %7. 18 than basic artificial bee colony algorithm, respectively. In addition, if the first formulation of Improved artificial bee colony algorithm is used to solve hydropower reservoir operation over 5 and 20 years, the objective function values are improved %7. 76 and %26. 47 than basic artificial bee colony algorithm, respectively. If the second formulation is used to solve hydropower reservoir operation over 5 and 20 years, the objective function values are improved %3. 79 and %25. 49 than basic artificial bee colony algorithm, respectively. Finally, comparison of the results shows that using the Improved artificial bee colony algorithm leads to better results with low computational costs.

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APA: Copy

MOEINI, R., & SOGHRATI, F.. (2020). Optimal Operation of Single Reservoir System Using Improved Artificial Bee Colony Algorithm (Case study: Dez Reservoir in Khozestan). WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), 30(1 ), 109-121. SID. https://sid.ir/paper/411757/en

Vancouver: Copy

MOEINI R., SOGHRATI F.. Optimal Operation of Single Reservoir System Using Improved Artificial Bee Colony Algorithm (Case study: Dez Reservoir in Khozestan). WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE)[Internet]. 2020;30(1 ):109-121. Available from: https://sid.ir/paper/411757/en

IEEE: Copy

R. MOEINI, and F. SOGHRATI, “Optimal Operation of Single Reservoir System Using Improved Artificial Bee Colony Algorithm (Case study: Dez Reservoir in Khozestan),” WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), vol. 30, no. 1 , pp. 109–121, 2020, [Online]. Available: https://sid.ir/paper/411757/en

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