Publication:

Aplicación del algoritmo MinMax en la optimización de embalses multipropósito (Caso de estudio: Represa Rio Ranchería)

Water resources management policies are a topic of general interest at the global level. of general interest worldwide, within which the construction of reservoirs is frequently construction of reservoirs that allow the use and control of water in a region to meet control of water in a region in the face of different needs in its environment. In order to carry out an efficient efficient management of the resource, it is very beneficial to build reservoirs capable of managing more than one capacity to manage more than one requirement, functioning as an element of water resource management. water resource management. A sustainable policy within the management of a multi-objective reservoir must therefore should then allow for the protection of the environment and ecosystems while generating policies that the environment and ecosystems while generating policies that allow for economic and social development through the development through the use of the resource. This then involves multiple factors and interests and interests that are often in opposition to each other, hence the need to generate operating rules and This is why it is necessary to generate rules of operation and decision-making tools that will that allow us to offer the best consensus among the objectives that the reservoir should offer. offer. In order to establish optimum reservoir management policies, different optimization and approximation techniques can be used to different optimization techniques and approaches to multi-objective problems can be used, ranging from the most from the most classical and simple to highly complex functions. The present work This work seeks to make use of a classic algorithm of game theory, the Minimax algorithm, which in its essence Minimax algorithm, which in its essence proposes an alternative that generates the minimum loss to all players in order to the minimum loss to all players to approximate the regulation problem of a multipurpose reservoir. multipurpose reservoir. For this purpose, historical flow and demand data will be used to generate operating rules. demands will be used to generate operating rules. The present work takes the El Cercado Dam on the El Cercado Dam on the Ranchería River as a case study for the application of the algorithm. algorithm.