AI for Enhanced Optimal Modeling in Wind Energy and Hydraulic Storage Systems with Lagrangian Insights

Wind power generation is a complex logistical undertaking with significant economic and social implications. The objective of this study is to formulate a method for the optimal management of the intermittent aspects of wind energy. The initial step entails modeling the various characteristics of the problem components, utilizing advanced techniques like Mixed Linear Programming within a scientific framework. Next, a mathematical formulation of management system of the wind power energy associated with storage hydraulic systems using the Lagrangian relaxation method is conducted. Conclusively, the deployment of operational policies is executed to articulate a systematic strategy for implementation.