To avoid premature failure of hybrid power systems for electricity generation (HPSEG) and to ensure the continuity of power supply with minimum intervention of users or utilities it is essential to evaluate the design, operation and management of the system correctly. This thesis presents optimization proposals for the stages of design, operation and management of HPSEG in microgrid configuration. An operational strategy is proposed, which aims to optimize the energy dispatch of the system, identifying the best relationship, considering technical and economic aspects, between load supply exclusively via renewable sources and battery bank or exclusively via generator set, and the battery bank being charged only by renewable sources or also by the generator set. An algorithm for sizing HPSEG is also developed, using genetic algorithms and simulated annealing, metaheuristic optimization techniques, aiming to present the best system configuration, in terms of equipment, that result in the best technical and economic feasibility for a given input, defined by the user. Finally, a system management model is proposed, considering tariffing and load control systems with the objective of ensuring an appropriate relationship between energy availability of the generation system and load demand. The operational strategy proposed combines the strategies of discontinued operation of the generator set, the critical load and the optimum contribution of generator to battery charging, and the results show that there is a decrease in the system’s operational costs. Related to the sizing optimization, the proposed algorithm, when compared to other tools for the optimization of HPSEG, presents good results and is suitable for the Brazilian reality. The management model of the system proposes the establishment of consumption and demand limits suitable to the reality of isolated communities supplied by renewable generation systems and, if correctly applied, can help guarantee the system's sustainability.
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