Zoning Evaluation for Voltage Optimization in Distribution Networks with Distributed Energy Resources

Anna Rita Di Fazio, Mario Russo and Michele De Santis
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Anna Rita Di Fazio: Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Mario Russo: Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Michele De Santis: Engineering Department, University Niccolò Cusano, 00166 Roma, Italy

Energies, 2019, vol. 12, issue 3, 1-28

Abstract: This paper deals with the problem of the voltage profile optimization in a distribution system including distributed energy resources. Adopting a centralized approach, the voltage optimization is a non-linear programming problem with large number of variables requiring a continuous remote monitoring and data transmission from/to loads and distributed energy resources. In this study, a recently-proposed Jacobian-based linear method is used to model the steady-state operation of the distribution network and to divide the network into voltage control zones so as to reformulate the centralized optimization as a quadratic programming of reduced dimension. New clustering methods for the voltage control zone definition are proposed to consider the dependence of the nodal voltages on both active and reactive powers. Zoning methodologies are firstly tested on a 24-nodes low voltage network and, then, applied to the voltage optimization problem with the aim of analyzing the impact of the R/X ratios on the zone evaluation and on the voltage optimization solution.

Keywords: distribution networks; distributed energy resources; sensitivity analysis; voltage control zones; voltage optimization (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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