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http://dx.doi.org/10.5762/KAIS.2012.13.5.2414

Optimal Operation Control for Energy Saving in Water Reuse Pumping System  

Boo, Chang-Jin (Department of Electrical Engineering, Jeju National University)
Kim, Ho-Chan (Department of Electrical Engineering, Jeju National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.13, no.5, 2012 , pp. 2414-2419 More about this Journal
Abstract
This paper presents an optimal operation control method for energy saving in the water reuse pumping system. A predictive horizon switching strategy is proposed to implement an optimal operation control and a linear programming (LP) 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 optimal operation in water reuse pumping systems is determined to reduce the TOU and peak costs. The simulation results show a power energy saving for water reuse pumping systems and power stability improvement.
Keywords
Pump switching; energy saving; optimal control; linear programming; demand side management;
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  • Reference
1 Y. T. Kang and J. H. 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.
2 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
3 X. Xia and J. Zhang, "Energy efficiency and control systems-from a POET perspective", CMTEE 2010, Vilamoura, Portugal, pp. 29-31, 2010.
4 F. Vieira and H. M. Ramos, "Optimization of operational planning for wind/hydro hybrid water supply systems", Renewable Energy, Vol. 34, No. 3, pp. 928-936, 2009.   DOI
5 M. Moradi-Jalal and B. 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
6 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
7 M. H. Afshar and 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.
8 S.-W. Park, A Study on the Impact of Demand Response on the Generation Fuel Mix Under Real-Time Pricing, Master Thesis, Hongik University, 2011.