Specialized genetic operators in drinking water distribution systems control

• Autorzy: Cimiński A. , Duzinkiewicz K.
• Konferencja: Evolutionary Computation and Global Optimization 2009 / National Conference (12 ; 1-3.06.2009 ; Zawoja, Poland)
• Języki publikacji: EN

Abstrakty

EN

Model-based predictive control (MPC) is an effective method for control of the large scale systems. The method relying on repeating applying the first element of the calculated control sequence to the system, based on the model of the system and available system output measurements. A time duration of control calculation is a crucial criterion for applying this method. In this paper effective algorithm of control the drinking water distribution system (DWDS) is presented. Algorithm is based on genetic algorithm (GA), specialized genetic operators (SPO) and simulator Epanet. To improve the GA convergence, specialized genetic operators based on system operator knowledge of practical system control are proposed. Effectiveness of proposed specialized genetic operators on the example DWDS of the Chojnice city is presented.

Słowa kluczowe

EN

model-based predictive control; MPC; control algorithm; DWDS; drinking water distribution system

PL

sterowanie predykcyjne; algorytm sterowania; algorytm genetyczny; genetic algorithm; system wodociągowy

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2009
• Tom: z. 169
• Strony: 35--42
• Opis fizyczny: Bibliogr. 9 poz., rys., wykr.

Twórcy

autor

Cimiński A.

autor

Duzinkiewicz K.

• Department of Control Systems Engineering, Faculties of Electrical and Control Engineering, Gdansk University of Technology ul. Narutowicza 11/12, Gdańsk,

Bibliografia

• [1] Brdys, M.A., Ulanicki, B. (1994): "Operational control of Water Systems: Structures, Algorithms and Applications", Prentice Hall, New York, London, Toronto, Sydney, Tokyo.
• [2] Brdys, M.A., Chang, T., Duzinkiewicz, K. and Chotkowski, W. (2000): "Hierarchical control of integrated quality and quantity in water distribution systems", Proc. of the A.S.C.E. 2000 Joint Conference on Water Resources Engineering and Water Resources Planning and Management, Minneapolis, Minnesota, July 30-August 2.
• [3] Drewa, M., Brdys, M. A., Ciminski, A. (2007): "Model predictive control of integrated quantity and quality in drinking water distribution systems", 8th IFAC International Symposium on Dynamics and control of Process Systems, Cancun, Mexico, June 6-8, 2007.
• [4] Duzinkiewicz, K. (2005): "Zintegrowane sterowanie systemami zaopatrzenia w wodę pitną", Praca habilitacyjna, Wydawnictwa Naukowo-Dydaktyczne Akademii Górniczo-Hutniczej w Krakowie (in polish).
• [5] Gen, M., Cheng, R. (2000): "Genetic algorithm and engineering optimization", John Wiley & Sons, Inc.
• [6] Jowitt, P.,W., Germanopoulos, G., (1992): "Optimal pump scheduling in water-supply networks", Journal of Water Resources Planning and Management, 118(4), 406-422.
• [7] Martinez, P., Hernandez, V., Alonso, J., M., Rao, Z., Alvisi, S., (2007): "Optimizing the operation of the Valencia water - distribution network", Journal of Hydroinformatics, (67-78), 09.1 2007.
• [8] Rosmman, L.A., (2000): "EPANET 2 User Manual", EPA/600/R-00/057, September 2000.
• [9] Shamir, U., Salomons, E., (2008): "Optimal Real-time Operation of Urban Water Distribution Systems Using Reduced Models", Journal of Water Resources Planning and Management, 134(2), 181-185.