Browsing by Author "Zanatta, Giuseppe"
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- An improved GA-based approach for reduced non-discriminatory renewable energy curtailmentPublication . Pedroso, André Felipe Pereira; Zanatta, Giuseppe; Ferreira, Ângela P.; Pereira, Ana I.; Amoura, Yahia; Lopes, Rui Pedro; Angelos, Eduardo Werley S. dos; Vasconcelos, Fillipe Matos de; Lemos, Manuel; Pino, GabrielThe active management of the networks with high penetration of renewable energy sources faces several challenges. To maximize the utilization of low carbon electricity, the curtailment of generator units using renewables should be limited and fair among units. In this work, an attempt has been made to solve the optimal power flow using an improved Genetic Algorithm. The optimal flow formulation is oriented to the efficiency of the network, under the boundary restrictions of limited curtailment of the output of distributed generators based on renewables and non-discriminatory behaviour. The results obtained from a IEEE 14-bus test system have demonstrated the feasibility of this approach.
- On the mitigation of renewable energy curtailment by using pumped hydro storage systemsPublication . Zanatta, Giuseppe; Pereira, Ana I.; Ferreira, Ângela P.To increase the penetration of renewable energy sources into electrical systems, it is essential to lessen renewable energy curtailment. Pumped Hydro Storage (PHS) systems are a promising alternative to achieve lower curtailment rates. This work analyses the effect of a PHS system in an electrical network regarding renewable energy curtailment behaviour. The analysis is addressed through an optimal power flow formulation to minimize power loss while satisfying operating and renewable energy curtailment constraints. Preliminary results for a modified IEEE 14-bus test feeder suggested that implementing the PHS decreased transmission losses by 2.2% and mitigated 16.8% of curtailed renewable energy for wholeyear simulations.