Reliability Based Optimization of Water Distribution System Using Hybrid Method
Priyanshu Jain1, Ruchi Khare2

1Priyanshu Jain, PhD Scholar, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P), India.
2Dr. Ruchi Khare, Associate Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 42-46 | Volume-8 Issue-5, March 2019 | Retrieval Number: D2820028419/19©BEIESP
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Abstract: In present world, water distribution network has a considerable role in maintaining the required living standard. It has various components such as pipe, pump, and control valve to deliver water to the consumer withdrawal point from its source point. Among these elements, more than 70% of the project cost depends on the pipe cost, which justifies the need of optimal sizing of pipes. Unfortunately, optimal pipe sizing is a non-linear problem. Importance and complexity of the pipe flow problem makes it popular in research field. The literature unfolds that the stochastic optimization algorithms are successful in examining the combination of least-cost pipe diameters from the commercially available distinct diameter set, but with the liability of considerable computational effort. The hybrid method i.e. Genetic -Fuzzy System, presented in this research work has a main focus to develop a parameter for increasing the reliability of the overall network using fuzzy logic concepts based on the difference in simulated pressure and acceptable pressure limits in demand nodes and to incorporate this parameter in a bi-objective optimization model for water distribution network design using Genetic Algorithms, hence attaining the optimized pipe diameters with minimum computational effort. The method is applied for optimizing three different water distribution systems [1, 13]. The variation of reliability index with the optimal cost is presented in graphical form.
Keyword: Optimization, Water Distribution System, Fuzzy Logic, Genetic Algorithm, Reliability Index.
Scope of the Article: Water Supply and Drainage