Resumo

TORRES RIVEROS, Jefferson  e  RIVERA RODRIGUEZ, Sergio. Optimal energy dispatch in multiple periods of time considering the variability and uncertainty of generation from renewable sources. Prospect. [online]. 2018, vol.16, n.2, pp.75-81. ISSN 1692-8261.  https://doi.org/10.15665/rp.v16i2.1642.

This document will specify the results obtained by developing a cost optimization function for the dispatch of energy in multiple (6) periods of time considering the variability and uncertainty of various sources of generation in renewable energies such as the sun, wind, in addition to the charging cycles of Electric Vehicles (VE) in a distributed generation network. The heuristic optimization algorithm used was DEEPSO type, which took into account penalty costs for the sub or over estimation of the energy potential, penalties for physical limitations of the system, besides the optimization of the power flow through the injection of reagents with shunt capacitors or through the use of transformer taps. The final result of the research was the development of a DEEPSO algorithm for the optimization of the economic dispatch of energy in power systems with high penetration from renewable sources.

Palavras-chave : Distributed generation; Renewable energy; Smart grids; Climatic variables; Energy markets.

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