Volume 3, Issue 2 (12-2017)                   jste 2017, 3(2): 39-47 | Back to browse issues page

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Rajabpour R, Sami Kashkoli B, Faraji T, Mohamadzadeh A, Amin S. (2017). Optimization of Energy Cost in Water Supply Systems Using Genetic Algorithms. jste. 3(2), 39-47.
URL: http://yujs.yu.ac.ir/jste/article-1-33-en.html
Ph.D Student in Civil Engineering, Islamic Azad University, Beyazeh Branch, Beyazeh, Iran , rasou_1360l@yahoo.com
Abstract:   (11401 Views)

In this paper, the optimal operation of pumping stations was determined using a genetic algorithm so that the minimum energy cost. The schedule for the operation of the water pump system can be a significant savings in the cost of energy to be achieved. Determine the optimum pump operation schedule an optimization model - simulation-based genetic algorithm was developed. The model integrates GA optimizer and EPANET hydraulic network solver in MATLAB. The proposed model is applied to find the optimal pump operation schedule of Dogonbadan water conveyance system from Kowsar Dam in an ordinary day of the year. The comparison of optimal schedule with ordinary operation strategy shows 26.8 percent reduction in total energy cost. This indicates the high capability of the proposed model.

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Type of Study: Applicable | Subject: Special

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