Browse > Article
http://dx.doi.org/10.5762/KAIS.2015.16.1.860

Energy Cost Saving Control of Water Reuse Pumping System Using Particle Swarm Optimization  

Boo, Chang-Jin (Department of Electrical Energy Eng., Jeju International University)
Kim, Ho-Chan (Department of Electrical Engineering, Jeju National University)
Kang, Min-Jae (Department of Electrical Engineering, Jeju National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.1, 2015 , pp. 860-867 More about this Journal
Abstract
This paper presents a control method for energy cost saving in the water reuse pumping system. An optimize horizon switching strategy is proposed to implement an pump control. And Particle Swarm Optimization (PSO) algorithm is used to solve optimal problems in each time step. Energy costs are calculated for electricity on both TOU in the light, heavy, and maximum load time period and peak charges. The control method in water reuse pumping systems is determined to reduce the TOU cost. The simulation results show a energy cost saving for water reuse pumping systems.
Keywords
Pump switching; energy cost saving; optimal control; PSO; demand side management;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Van Zyl, J.E., Savic, D.A., Walters, G.A., "Operational optimization of water distribution systems using a hybrid genetic algorithm", Journal of Water Resources Planning and Management, pp. 160-170, 2004. DOI:http://dx.doi.org/10.1061/(ASCE)0733-9496(2004) 130:2(160)
2 G. McCormick and R.S. Powell, "Derivation of near-optimal pump schedules for water distribution by simulated annealing", Journal of the Operational Research Society, Vol. 55, No. 7, pp. 728-736, 2004. DOI: http://dx.doi.org/10.1057/palgrave.jors.2601718   DOI
3 M .H .Afshar, R. Rajabpour. "Optimal design and operation of irrigation pumping systems using particle swarm optimization algorithm", International Journal of Civil Engineerng, Vol. 5, No. 4, pp. 302-311, 2007.
4 Chang Jin Boo and Ho Chan Kim, "Optimal Operation Control for Energy Saving in Water Reuse Pumping System", Journal of the Korea Academia-Industrial cooperation Society, Vol. 13, No. 5 pp. 2414-2419, 2012 DOI: http://dx.doi.org/10.5762/KAIS.2012.13.5.2414   과학기술학회마을   DOI
5 Eberhart R and Kennedy J., "A New Optimizer Using Particles Swarm Theory", Proc. Sixth International Symposium on Micro Machine and Human Science (Nagoya, Japan) IEEE Service Center, Piscataway, pp. 39-43, 1995. DOI: http://dx.doi.org/10.1109/MHS.1995.494215
6 X. Meng, H. Wang, "Application of hybrid genetic algorithm in frequency speed control pumping station", in 4th international Conference on Natural computation, Shan Dong, China, pp. 337-341, 2008. DOI: http://dx.doi.org/10.1109/ICNC.2008.195
7 Yong Tae Kang, Jeong Hyun Kim, "Configuration of the Optimum System for the Reuse of Wastewater", Korean Society of Water Science and Technology, Vol. 3, No. 1, pp. 3-14, 1995.
8 K. W. Little and B. J. McCrodden. "Minimization of raw water pumping costs using milp", Journal of Water Resources Planning and Management, Vol. 115, No. 4, pp. 511-522, 1989. DOI:http://dx.doi.org/10.1061/(ASCE)0733-9496(1989) 115:4(511)   DOI
9 C. Gopal, M. Mohanraj, P. Chandramohan, P. Chandrasekar, "Renewable energy source water pumping systems- A literature review", Renewable and Sustainable Energy Reviews, Vol. 25, pp. 351-370, 2012. DOI: http://dx.doi.org/10.1016/j.rser.2013.04.012
10 Mahdi Moradi-Jalal and Bryan W. Karney., "Optimal design and operation of irrigation pumping stations using mathematical programming and genetic algorithm (GA)", Journal of Hydraulic Research, Vol. 46, No. 2, pp. 237- 246, 2008. DOI: http://dx.doi.org/10.1080/00221686.2008.9521858   DOI