DBPapers
DOI: 10.5593/SGEM2016/B31/S12.008

AN ADAPTIVE ALGORITHM OF HYBRID OPTIMIZATION METHOD FOR STRATEGIC CONTROL OF WATER RESERVOIR WITH USING SUPPORT VECTOR MACHINES

P. Mensik, S. Paseka, D. Maton
Wednesday 7 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-61-2 / ISSN 1314-2704, June 28 - July 6, 2016, Book3 Vol. 1, 55-62 pp

ABSTRACT
The aim of strategic control is the effort to achieve optimal water outflow from reservoir. Classic strategic control of water reservoirs are based mainly on the rules and rules curves, which are created by generalization of historical data of water inflows to the reservoirs and water outflow. Discharge series are changing in the time due to expected climate change. It is necessary to looking for intelligent water outflow control, which will allow to react on these hydrological changes and contribute to the efficient use of accumulated water for ensure water demand. The paper will describe the algorithm based on adaptive control. The normal adaptive control required knowledge of the water flow medium-term prediction into the reservoir. The created algorithm of intelligent control does not require knowledge of hydrological predictions. This control method is based on a suitable combination optimization method with the Support vector machines method. The control algorithm is one of the possible measures to mitigate the negative impacts of droughts and water scarcity. The algorithm of hybrid optimization method for strategic control of water reservoir will be detail describe in this paper.

Keywords: Adaptive, Evolution Algorithms, Reservoir, Strategic Control, Support Vector Machines