Localization and Sizing of Distributed Generation through a Genetic Algorithm to Improve Voltage Profile Using Ecuadorian Standards
David Calvachi,
Luis Tipán () and
Manuel Jaramillo
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David Calvachi: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Universidad Politecnica Salesiana, Quito 170702, Ecuador
Luis Tipán: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Universidad Politecnica Salesiana, Quito 170702, Ecuador
Manuel Jaramillo: Engineering Department, South Campus, Av. Rumichaca and Av. M. Valverde, Universidad Politecnica Salesiana, Quito 170702, Ecuador
Energies, 2023, vol. 16, issue 10, 1-19
Abstract:
The approach proposed for the development of this research work was based on the integration of Distributed Energy Generation (DG) into an energy distribution network, improving the voltage profile by establishing an optimal location and sizing of DG power plants, for which the use of a heuristic optimization method known as Genetic Algorithm (GA), which has several restrictions to limit its operation and thus achieve an optimal solution to the planned optimization problem, was resorted to. The development of a power flow allowed having the voltage measurement in the bars of the network before incorporating DG, allowing to verify that the voltage fluctuations present an improvement after the incorporation one by one of each DG central defined by the GA. The systems in which the voltage measurement was performed, as well as the verification of its fluctuations with and without DG once the GA was used, were the IEEE systems of 9 and 14 busbars, the latter the one used to demonstrate the scalability of the GA to locate and dimension DG without considering the number of busbars in a system.
Keywords: distributed power generation; genetic algorithm; optimization methods; power distribution network; scalability; voltage fluctuations; voltage measurement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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