Multiobjective Approach for Medium- and Low-Voltage Planning of Power Distribution Systems Considering Renewable Energy and Robustness

Diogo Rupolo, Benvindo Rodrigues Pereira Junior, Javier Contreras and José Roberto Sanches Mantovani
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Diogo Rupolo: Electrical Engineering Departament, São Paulo State University, UNESP, Ilha Solteira 15385-000, Brazil
Benvindo Rodrigues Pereira Junior: Department of Electrical Engineering and Computation, University of São Paulo, São Carlos 13566-590, Brazil
Javier Contreras: Higher Technical School of Industrial Engineering, University of Castilla-La Mancha, 13071 Ciudad Real, Spain
José Roberto Sanches Mantovani: Electrical Engineering Departament, São Paulo State University, UNESP, Ilha Solteira 15385-000, Brazil

Energies, 2020, vol. 13, issue 10, 1-21

Abstract: In this paper, a multiobjective approach to carry out the planning of medium-voltage (MV) and low-voltage (LV) distribution systems, considering renewable energy sources (RES) and robustness, is proposed. Due to the uncertainties associated with RES and demand, the proposed planning methodology takes into account a robust planning index (RPI). This RPI allows us to evaluate the robustness estimation associated with each planning solution. The objective function in the mathematical model considers the costs of investment and operation and the robustness of the planning proposals. Due to the computational complexity of this problem, which is difficult to solve by means of classical optimization techniques, MV/LV planning is solved by a decomposition search and a general variable neighborhood search (GVNS) algorithm. To demonstrate the efficiency and robustness of this methodology, tests are performed in an integrated distribution system with 50 MV nodes and 410 LV nodes. Our numerical results show that the proposed methodology makes it possible to minimize costs and improve robustness levels in distribution system planning.

Keywords: MV/LV distribution system planning; robustness of planning; general variable neighborhood search; renewable energy sources (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: 2020
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