Operating Rules of an Irrigation Purposes Reservoir Using Multi-Objective Optimization

Abstract

A multi-objective optimization technique for the operation of an irrigation reservoir is presented in this paper. The study deals with two different objective functions (OF): the minimization of reservoir release deficit from the irrigation demand (OF1) and the maximization of net benefit by the demand sector (OF2). In the first step, monthly optimization of each individual objective was performed with a deterministic non-linear programming (NLP) algorithm, that gave the lower and upper bounds for the multiobjective analysis. In the second step, multi-objective optimization was performed through the Constraint method that operates by optimising the objective function OF1, while the other (OF2) was constrained to satisfy release strategies generated by the optimization. Non-dominated set of release strategies is generated by parametrically varying the bounds of the constraints obtained from the individual optimal solutions. In the third step, the interactive analytical Step method was applied to find the best compromise solution, between the two OFs, by minimizing the distance of each non-dominated solution to an ideal solution that represents the utopian optimum for both OF1 and OF2. Furthermore, the interactive approach allows to improve the performance of the reservoir in terms of compromise irrigation releases, by changing the OF values until the satisfaction of predetermined criteria fixed by the planners and decision makers. The proposed water allocation model was applied to the Pozzillo reservoir operation, that supplies the Catania Plain irrigation area (Eastern Sicily).

Operation analysis of Eleviyan irrigation reservoir dam by optimization and stochastic simulation

“…Monthly supply-demand ration of the model was 93.7%. Consoli et al (2008) reduced the water shortage of Pozzillo reservoir from 46 to 36% by using a Non-Linear MultiObjective Optimization Programming method. Since various objectives were taken into consideration in multipurpose modeling, water shortage was high.…”

“…Reservoirs are very useful choices for storage of irrigation water to use in drought periods. Optimal operation of reservoir systems is important for effective and efficient management of available water resources for maximum system net benefit (Suiadee and Tingsanchali 2007;Shrestha et al 1996;Nandalal and Sakthivadivel 2002;Raju and Kumar 1999;Consoli et al 2008).…”

“…Mathlouthi and Lebdi (2008) developed reservoir operating rules for dry and wet periods, and their implementation in northern Tunisia. Consoli et al (2008) developed a nonlinear multi-objective allocation model for Pozzillo irrigation reservoir in Italy. Sattari et al (2008) compared classical (Ripple diagram and sequent peak analysis) and modern methods (optimization technique) for calculating dam capacity.…”

OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems

“…In recent years, the research community focused on soft computing techniques, such as Evolutionary Algorithms, and more specifically Genetic Algorithms (GAs). GAs have proven to be effective and suitable for solving optimization problems (Momtahen and Dariane 2007;Consoli et al 2007;Azamathulla et al 2008). GA models were also successfully applied to solve different optimization problems for reservoir operation by Jian-xia et al (2005), Reddy and Kumar (2006), Li and Wei (2008), Jothiprakash and Shanthi (2009), Jothiprakash et al (2011), Yang et al (2013.…”

The Role of Spill and Evaporation in Reservoir Optimization Models

“…Mathematical optimization techniques have been comprehensively applied to solve reservoir operation problems for several decades now (McMahon 2009;Mehta and Jain 2009;Celeste et al 2008;Consoli et al 2008;Mujumdar and Nirmala 2007;Reis et al 2006;Labadie 2004;Wurbs 1993;Yeh 1985). Usually, reservoir operation optimization models dealt with in the published literature do not handle the overflows (spills) explicitly.…”