The objective of this thesis is to provide the crucial points to the development of a methodology focused on the analysis of strategies, rules and regulations connected with the electrical sector, under the context of the evolutionary game theory. The importance of choosing efficient strategies responsible for profiles, with better payoffs, displays the approach regarding the interactions among agents under regulatory, hydrological and market uncertainties, which are present in the electrical sector, resulting in noncontinuous and noisy payoffs surfaces. It is demonstrated that the already mentioned non-continuous surfaces can be expanded in a hyper-space of mixed strategies, where orbits governed by the dynamics based on differential equations, will converge to profiles of stable attractive equilibrium, in an asymptotic meaning. In order to achieve the modeling, is suggested the employment of behavioral strategies, which possess the role of creating equilibrium profiles, immune to the frequently changes, as well as to propitiate the analysis in cooperative and competitive scenarios.