Programação diária da operação de sistemas termoelétricos de geração via otimização seno-cosseno híbrido

Abstract

The daily operation schedule of thermoelectric systems is related to the following set: economic power dispatch and thermoelectric operational decision making optimization. Both factors must be taken into account to minimize operating costs whereas taking into account operational and systemic constraints. The daily operation schedule optimization is hard to solve due to characteristics of mixed integer non-linear programming (MINLP) optimization problem such as: non-convex solution region, antagonism between decisions and high number of combinations. This research used a hybrid computational algorithm through the combination of the stochastic algorithm based on the trigonometric functions sine and cosine, developed by Mirjalili (2016), combined with heuristic information in the form of priority lists. The Sine Cosine Algorithm (SCA) has characteristics of local and global search, ultimately resulting in the achievement of better results for systems with larger search space. The algorithm based on priority lists was used to ensure that all constraints related to the Thermal Unit Commitment (TUC) were met. The proposed algorithm was applied in five different systems made from four to forty thermoelectric generating units, considering a planning horizon from eight to twenty four hours. Among the analyzed systems, the interaction between thermoelectric generation and renewable generating sources was also approached, in addition to the impacts of wind generation to the Unit Commitment (UC) problem. The resulting plans obtained from the methodology were compared to the ones found in the specialized literature, showing themselves to be the best solutions for most of the systems.