Optimal Configuration Design and Operation of Pressurized Irrigation Systems Using Stochastic Optimization

Abstract

This paper presents a new stochastic optimization model, MOCEP, developed for simultaneously optimal configuration design and operation of a pumped irrigation system with balancing tanks. MOCEP is a coupling between the Multi-Objective Covariance Matrix Adaptation Evolution Strategy optimization algorithm and the hydraulic Epanet model that aims at balancing the total cost and network resilience estimation during extended period simulations. The costs mentioned here consist of general capital, construction, and operation costs. The network resilience is a measure of both the nodal surplus power and the uniformity in diameter of pipes connected to that node. The optimization of both network layout and pipe size was taken into account with a pre-defined maximum layout under a prespecified level of layout reliability. An application to a real world case study in the Al Batinah coastal plain (Sultanate of Oman) is presented to illustrate ability of the new approach.