Document Type: Article
School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran
School of Civil Engineering, Iran University of Science and Technology Narmak, Tehran, P.O. Box 16765-163, Iran
This paper presents a novel Cellular Automata approach for solution of reliability-based reservoir hydropower operation problems. The method is based on the observation that a low value of the penalty parameter would lead to partial enforcement of the constraints. In this method, therefore, the constraints of the chance-constrained operation problem, namely operational and reliability constraint, are dealt differently. A high enough value of the penalty parameter is used for the first set while a lower than enough value is used for the second set leading to strong enforcement of the first set of the constraint and partial fulfillment of the second set. Since the proper value of the penalty parameter to be used for the reliability constraints is not known a priori, an adaptive method is, therefore, proposed to find the proper value. The proposed model is used for operation of Dez reservoir in Iran and the results are presented and compared with those of a Genetic algorithm. Hydropower operation is considered over short, medium and long term periods to demonstrate the efficiency and effectiveness of proposed method for problems of different scales. The proposed model is shown to produce superior results to the GA with much reduced computational effort.