Resumo:
This work is related to the research project "Optimization of Hydropower Plant Operation
Through Minimization of Losses in the Generation Process" conducted under the ANEEL
R&D framework, developed by UNIFEI (Federal University of Itajubá) in partnership
with Jirau Energia - the concessionaire of the Jirau Hydroelectric Plant, and presents an
innovative methodology for optimizing energy dispatch in hydroelectric plants. Thus, the
study is particularly focused on UHE Jirau, one of the largest in Brazil, located in the
Madeira River basin. The main objective of this research is to develop and implement an
effective approach that integrates Markov Decision Processes (MDP) and Particle Swarm
Optimization (PSO) to optimize energy dispatch, minimizing losses and maximizing the
performance of the generating units (GU). The need for this approach is emphasized by
the inherent complexity of managing multiple generating units and the load losses caused
by sediment accumulation at their water intakes. The proposed methodology is divided
into several phases, starting with the modeling of the operational characteristics of the
generating units and the development of an objective function that includes maximizing
energy efficiency and energy generation with the same water consumption. The integration
of MDPs allows for real-time decision-making, considering multiple scenarios and operational
states of the units, while PSO is used to explore optimal solutions in an expanded
search space, thus ensuring the attainment of a globally optimal solution. The partial
results demonstrate that the application of the proposed methodology is viable, allowing
for increased efficiency in the operations of UHE Jirau. Compared with historical data and
traditional dispatch methods, there was a reduction in the turbinated flow, accompanied
by increases in the dispatched power and overall yield obtained for the plant. The analysis
of the results also suggests that the developed strategy is robust and adaptable to different
operational conditions, providing a reliable framework for optimal energy dispatch. This
work not only meets the specific needs of UHE Jirau but can also significantly contribute
to the body of knowledge in electrical engineering, with potential applications in other
hydroelectric plants facing similar challenges. Furthermore, the methodological advances
and solutions developed promote the efficient use of natural resources, aligning with the
goals of sustainability and energy efficiency.
