Assessment of application of harmony search optimization algorithm in optimal multi-reservoir and real single-reservoir systems (Case study: Dez Dam)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mirbeyk Sabzevari M.; Torabi Podeh H.; YOUNESI H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN WATER RESEARCH JOURNAL Year:2020 | Volume:13 | Issue:4 (35) Page(s): 27-38

Download Full-Text

Persian Verion

View:

693

Download:

Cites:

Information Journal Paper

Title

Assessment of application of harmony search optimization algorithm in optimal multi-reservoir and real single-reservoir systems (Case study: Dez Dam)

Author(s)

Mirbeyk Sabzevari M. | Torabi Podeh H. | YOUNESI H. | Issue Writer Certificate

Keywords

Harmony Search AlgorithmQ1

Linear programmingQ1

Meta-heuristic algorithmQ2

multi dam operationQ1

OptimizationQ2

Abstract

Occurring periods of drought in the past decade, increasing growth of population, and limiting surface water resources necessitate the proper management of the reservoirs of dams. Operation of reservoirs is influenced by a lot of goals which many of them are incompatible with each other. The inflows to the reservoir and the storage volumes are uncertain which increase complexity in the operation of the reservoir. The main challenge is to find the best situation of the reservoir release and optimize hydro systems. Various Optimization methods have been introduced for the operation of the reservoir. But some of these methods have disadvantages that use of them is not possible in all conditions. Bozorg Haddad (2005) used Honey Bees Mating Optimization for solving design problems and the Ant Colony algorithm was also used to exploit a four-reservoir system in a discrete space that was able to optimize the problem with greater accuracy and less computing time than the genetic algorithm (Jalali et al. 2007). Mousavi et al. (2017) used the Harmony Search Algorithm for the Optimization of water powerhouse storage projects and reported satisfactory results. Harmony Search Algorithm was presented by Geem et al. for the first time in 2000. In this research Harmony Search Algorithm (HSA) is evaluated to determine the optimal operation of multi-reservoir systems. Then in order to evaluate the ability of the algorithm to solve real problems, the optimal operation of Dez Dam reservoir in Khuzestan province, Iran, has been considered for the period of 10 years (1990-1992) with 120 months. In the single-reservoir of Dez Dam, the goal is to provide of agricultural demand of downstream or to determine the optimal monthly release for 10 years operation. The optimum value was obtained by using a Linear programming model (Lingo). Lingo model can solve nonlinear problems and provides the global optimum in some cases such as the intended problem where the objective function is convex. Therefore, the solutions obtained from the HSA model were compared with the outcomes of Lingo software. A new heuristic algorithm derived from an artificial phenomenon found in musical performance, namely the process of searching for the better harmony, has been introduced. Music harmony is a combination of sounds considered pleasing from an aesthetic point of view. Harmony in nature is a special relationship between several sound waves that have different frequencies. Musical performances seek the best state (fantastic harmony) determined by aesthetic estimation, as the Optimization algorithms seek the best state (global optimum-minimum cost or maximum benefit or efficiency) determined by objective function evaluation. Aesthetic estimation can be found by the set of the sounds played by joined instruments, just as objective function evaluation which is obtained by the set of the values produced by component variables. The sounds for better aesthetic estimation can be improved through several practices; just as the values for better objective function, evaluation can be improved by several iterations. The new algorithm is named Harmony Search (HS) and the steps in the procedure of HS are as follows: Step 1) Initialize a Harmony Memory (HM); Step 2) Improvise a new harmony from HM; Step 3) If the new harmony is better than the least harmony in HM, include the new harmony in HM, and exclude the minimum harmony from HM; Step 4) If stopping criteria are not satisfied, go to Step 2. Harmony Memory Considering Rate (HMCR ranges from 0 to 1. If a uniformly generated value between 0-1 occurs above the current value of the HMCR, then HS finds notes randomly within the possible playable range without considering HM. For improving solutions and escaping local optima, another option may be introduced. This option mimics the pitch adjustment of each instrument for tuning the ensemble. For computation, the pitch adjustment mechanism is devised as shifting to neighboring values within a range of possible values. A Pitch Adjusting Rate (PAR) of 0. 10 means that the algorithm chooses a neighboring value with 10% probability (an upper value with 5% or lower value with 5%. In the present study, first HSA was used for the Optimization of a four-reservoir system. The objective function was calculated as308. 2915 and 308. 2900 using Lingo software and HSA, respectively, which had a different of 0. 0005 percent with the global optimum. After the success of HSA in solving the four-reservoir system, a ten-reservoir system was considered. This time, the objective function was calculated as1194. 4 and 1193. 1 by using Lingo software and HSA, respectively, which had a different of 0. 1 percent with the global optimum. In the single-reservoir problem of Dez Dam, the value of global optimum of the objective function was calculated as 1. 9188 and 1. 944 by using Lingo and HSA, respectively, which had the different of 1. 31% with the global optimum. So, it can be concluded that this algorithm has the ability to solve Optimization problems of the real system.

Cites

No record.

References

No record.

Cite

APA: Copy

Mirbeyk Sabzevari, M., Torabi Podeh, H., & YOUNESI, H.. (2020). Assessment of application of harmony search optimization algorithm in optimal multi-reservoir and real single-reservoir systems (Case study: Dez Dam). IRANIAN WATER RESEARCH JOURNAL, 13(4 (35) ), 27-38. SID. https://sid.ir/paper/159878/en

Vancouver: Copy

Mirbeyk Sabzevari M., Torabi Podeh H., YOUNESI H.. Assessment of application of harmony search optimization algorithm in optimal multi-reservoir and real single-reservoir systems (Case study: Dez Dam). IRANIAN WATER RESEARCH JOURNAL[Internet]. 2020;13(4 (35) ):27-38. Available from: https://sid.ir/paper/159878/en

IEEE: Copy

M. Mirbeyk Sabzevari, H. Torabi Podeh, and H. YOUNESI, “Assessment of application of harmony search optimization algorithm in optimal multi-reservoir and real single-reservoir systems (Case study: Dez Dam),” IRANIAN WATER RESEARCH JOURNAL, vol. 13, no. 4 (35) , pp. 27–38, 2020, [Online]. Available: https://sid.ir/paper/159878/en

Related Journal Papers