Spatial Model of Optimization Applied in the Distributed Generation Photovoltaic to Adjust Voltage Levels

José A. G. Cararo, João Caetano Neto, Wagner A. Vilela Júnior, Márcio R. C. Reis, Gabriel A. Wainer, Paulo V. dos Santos and Wesley P. Calixto
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José A. G. Cararo: Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
João Caetano Neto: Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
Wagner A. Vilela Júnior: Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
Márcio R. C. Reis: Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
Gabriel A. Wainer: Visualization, Simulation and Modeling, Carleton University, Ottawa, ON K1S 5B6, Canada
Paulo V. dos Santos: Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
Wesley P. Calixto: Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil

Energies, 2021, vol. 14, issue 22, 1-37

Abstract: The main objective of this work is to develop a methodology for analyzing the quality of the voltage level in the distribution power grid to identify and reduce the violations of voltage limits through the proposition of optimal points for the allocation of photovoltaic distributed generation. The methodology uses the geographic location of the power grid and its consumers to perform the grouping and classification in spatial grids of 100 × 100 m using the average annual consumption profile. The generated profiles, including the grid information, are sent to the photovoltaic distributed generation allocation algorithm, which, using an optimization process, identifies the geographic location, the required installed capacity, and the minimum number of photovoltaic generation units that must be inserted to minimize the violations of voltage limits, respecting the necessary restrictions. The entire proposal is applied in a real feeder with thousands of bars, whose model is validated with measurements carried out in the field. Different violations of voltage limits scenarios are used to validate the methodology, obtaining grids with better voltage quality after the optimized allocation of photovoltaic distributed generation. The proposal presents itself as a new tool in the work of adapting the voltage of the distribution power grid using photovoltaic distributed generation.

Keywords: photovoltaic distributed generation; optimization process; clustering; spatial database; systems modeling; voltage adequacy; smart grids (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: 2021
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