Dynamic operation of a surface water resources system

Abstract

Abstract. The management of storage facilities (reservoirs, lakes, and ponds) is an important element of the utilization of a surface water resources system. Dynamic programming (DP) techniques have been used extensively in the analysis and resolution of reservoir systems operation. A major drawback of DP for a multireservoir system is the "curse of dimensionality." To overcome this problem, this study developed a nonlinear programming (NLP) solution scheme which also integrated the objectives of several stakeholders, objectives which were noncommensurate. The NLP model employed a time series model to generate synthetic inflows into the storage facilities in order to simulate future operations of the system. Two sets of simulations were run, and a statistical test was used to terminate them. The expected values of the decision variables were tabulated and plotted, as well as their standard deviations and probability distributions. The model allows decision makers to adjust operation targets for different alternative operation scenarios.

Large scale reservoir operation by Constrained Particle Swarm Optimization algorithms

“…Cheng and Chau (2001) used a fuzzy iteration methodology for flood control operation of reservoirs. Peng and Buras (2000), Cai et al (2002) used NLP in the optimization of multi-reservoir systems. Jalali (2005) used Ant System (AS) and Ant Colony System (ACS), two basic variant of the Ant Colony Optimization Algorithms (ACOAs) to solve a variety of reservoir operation problems.…”

Water Systems Planning: The Optimization Perspective

“…[12,74]). Nowadays non-linear programming codes like MINOS (61] are fast and very reliable, and the use of this method is growing [64).…”

Extension of the constrained ant colony optimization algorithms for the optimal operation of multi-reservoir systems

“…More importantly, NLP methods are prone to getting stuck in local optima when the problem is non-convex. However, Peng & Buras (2000) and Cai et al (2002) used NLP in the optimization of mulfi-reservoir operafion systems.…”