Optimal Selection of Rechlorinization Station in Water Distribution System by Optimization Techniques

by Hyoungmin Woo,
Wugu Kim,



Document Type: Proceeding Paper

Part of: Critical Transitions in Water and Environmental Resources Management

Abstract: The optimal rechlorination in water distribution systems was investigated by incorporating optimization techniques into a numerical water quality model (EPANET2). Four types of optimization methods (Pattern Search, Genetic Algorithm, Shuffled Complex Evolution, Derandomized Evolutionary Search) are compared to get the optimal values of object function for the hypothetical networks and real networks. Optimal control model operates EPANET2 model and will be stopped at the allowable limits. Automated intelligent module can update the penalty function of calculation automatically. Pattern Search (PS) technique is one of direct search method and can be used as the tool of parameter estimation with the conjugate direction method. Shuffled complex evolution method is a global optimization method from the university of Arizona. DES algorithms including genetic algorithms are probabilistic search methods. All above methods are compared each other by efficiency. The developed technique that simultaneously determines the optimal injection rates and sites is applied to the hypothetical network.

Subject Headings: Water supply systems | Optimization models | Water quality | Algorithms | Hydrologic models | Numerical models | Numerical analysis | Automation | North America | Delaware | United States

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