Optimal control of variable speed pumps in a water distribution network with regard to hydraulic reliability using the G-JPSO algorithm

Subject Areas : Subjects

rasoul rajabpour ¹ (Department of Civil Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran)
Mohamadhossein Ahmadi ² (Department of Civil Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran)
naser talebbeydokhti ³ (Professor of Civil and Environmental Engineering, Head of Environmental Research and sustainable Development Center, Shiraz University)
gholam reza rakhshandehroo ⁴ (Professor of Civil and Environmental Engineering, Shiraz University)

Received: 2018-06-10 Accepted : 2020-01-26 Published : 2019-10-23

Keywords: Reliability, Operation, G-JPSO, Multi-Objective Optimization, Variable-Speed Pump,

Abstract :

In this research, by considering the variable-speed pump, the effect of speed on pump performance, network hydraulics and energy consumption in a water distribution network in both single-objective and multi-objective models was investigated by using the new G-JPSO algorithm. The objective function in the single-objective problem is to minimize the amount of energy consumption throughout the day, and the decision variables are the amount of pump rounds in different hours of the day and night. In the multiobjective optimization problem, the first goal was to minimize the cost of consuming energy and the second goal was to maximize the hydraulic reliability. In order to determine optimal pump operation program, an optimization-simulation model based on G-JPSO optimization algorithm was developed. In this model, the algorithm was integrated into the MATLAB environment with the hydraulic part of the EPANET model as the reference of the commands and information. The proposed model was used in the Vanzyl distribution network and the optimal exploitation instructions were extracted and the results were compared with the JPSO algorithm and the ACO. The results of the paper showed that in the single-objective problem, the G-JPSO algorithm's results are 3.28 and 0.38 percent better than JPSO and ACO, respectively. In general, the energy consumption of variable-speed pumps was lowers the constant- speed pumps. In a multi-objective problem, in all optimization scenarios, the G-JPSO algorithm was able to achieve points in comparison with the ACO algorithm, which, in addition to cost reduction, has higher reliability.

References:

1)       تابش مسعود (1395). شبیه­سازی پیشرفته شبکه­های توزیع آب. انتشارات دانشگاه تهران، چاپ اول. تهران.

2)       رجب­پور، ر.، افشار، م. (1387). بهره­برداری بهینه از ایستگاه­های پمپاژ متوالی با استفاده از الگوریتم PSO. مجله آب و فاضلاب، سال 87، شماره 66.

3)       رجب­پور، ر.، طالب بیدختی، ن.، رخشنده­رو، غ. (1395). ارائه الگوریتم‌ جدید G-JPSO و توسعه آن در تنظیم بهینه پمپ‌ها در شبکه توزیع آب. مجله آب و فاضلاب، سال 95، شماره 6.

4)       فتوحی، م.، تابش، م. (1395). بهینه سازی هزینه انرژی با درنظر گرفتن قابلیت اطمینان هیدرولیکی و کیفی شبکه­های توزیع آب با استفاده از الگوریتم جامعة مورچگان. نشریه مهندسی عمران فردوسی، سال 95، شماره 2.

5)       Afshar, H., Rajabpour, R. (2009). Application of Local and Global Particle Swarm Optimization Algorithms to Optimal Design and Operation of Irrigation Pumping Systems. Irrig. and Drain. 58(3): 321-331.

6)       Bazovski, I.) 1961(. Reliability theory and practice, Prentice Hall, Inc., Englewood Cliffs, N J. Bhave, P.R., 1978, "Noncomputer optimization of single source networks", Journal of Environmental Engineering, 104, 799-813.

7)       Berardi, L.; Ugarelli, R.; Røstum, J. Giustolisi, O. (2014). Assessing mechanical vulnerability in water distribution networks under multiple failures. Water Resour. Res., 50, 2586–2599.

8)       Dini, M. )2014(. Quality based optimal renovation planning for water distribution networks considering reliability indices. PhD Thesis, Department of Civil Engineering, University of Tehran, Tehran, Iran. (In Persian).

9)       Farmani, R., Walters, G. and Savic, D.  (2006). Evolutionary multi-objective optimization of the design and operation of water distribution network: total cost vs. reliability vs. water quality. Journal ofHydroinformatics, No 8 (3), pp. 165-179.

10)   Ghajarnia, N., (2009)., Dynamic multi criteria design and development of urban water distribution network., MSc Thesis, Department of Irrigation & Reclamation Engineering, University of Tehran, Karaj, Iran.

11)   Gheisi, A.; Forsyth, M.; Naser, G. (2016). Water Distribution Systems Reliability: A Review of Research Literature. J. Water Resour. Plan. Manag. 142, 04016047.

12)   Hashemi, S. S., Tabesh, M., and Ataee Kia,  B. (2011). Ant-Colony optimization of energy cost in water distribution systems using variable speed pumps, in: Proceedings of 4th ASCE-EWRI International Perspective on Water Resources and The Environment, 4–6 January, National  University of Singapore, Singapore.

13)   Hashemi, S. S., Tabesh, M., and Ataee Kia,  B. (2012).  Scheduling and operating costs in water distribution networks. Water Management., 166(8):432-442.

14)   Hashemi, S. S., Tabesh, M., and Ataee Kia, B. (2014). Ant-colony optimization of pumping schedule to minimize the energy cost using variable-speed pumps in water distribution networks. Urban Water Journal., 11(5):335-347.

15)   Karamuz M., Yaseri K., Nazif S. (2016). Reliability-based assessment of lifecycle cost of urban water distribution infrastructures. Journal of Infrastructure Systems. Vol. 23. Iss. 2.

16)   Kennedy, J. and R. Eberhart. (1995). Particle Swarm Optimization. Proceedings of the International Conference on Neural Networks, Perth, Austalia, IEEE, Piscataway: 1942-1948

17)   López-Ibáñez, M., Prasad, T. D., and Paechter, B. (2008).  Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks. J. Water Resour. Plann. Manage. 337–346.

18)   Mehzad, N., Tabesh, M., and Hashemi, S. S. (2012). Reliability of water distribution networks due to pumps failure: comparison of VSP and SSP application. Drinking Water Engineering and Science., 5:351-373.

19)   Moreno-Perez, J. A., Castro-Gutierrez, J. P, Martinez-Garcia F. J., Melian, B., Moreno-Vega, J. M. and Ramos, J. (2007), Discrete Particle Swarm Optimization for the p-median problem. In: Procceedings of the 7th Metaheuristics International Conference, Montreal, Canada.

20)   Prasad, T.D. & Park, N.S. (2004). Multi objective genetic algorithm for design of water distribution networks., Jourmal of Water Resources Planning and Management, 130(1), 73-82.

21)   Reca, J., J. Martnez, R. Baٌos, and C. Gil. (2008). Optimal design of gravity- fed looped water distribution networks considering the resilience index, J. Water Resour. Plann. Manage. Div., 134(3), 234–238.

22)   Rossman, L. A. (2000). EPANET2 Users Manual, Risk Reduction Engineering Laboratory, U. S. Environmental Protection Agency, Cincinnati, Ohio.

23)   Sanda-Carmen, Radu P., Andrei M. (2010). Pumping Stations Scheduing for a Water Supply System With Multiple Tanks. U.P.B. Sci. Bull., Series D, Vol. 72, Iss. 3, 129-140.

24)   Vanzyl, J. E., Savic, D. A., and Walters, G. A. (2004). Operational optimization of water distribution systems using a hybrid genetic algorithm. J. Water Resour. Plann. Manage., 130(2), 160–170.