Distribution grid reconfiguration sensitive to transmission cost allocation

Author:

Nicoletti Felipe1,Sperandio Mauricio1,Machado Santos Moises2ORCID,Benetti Marcelo A.3,Kommers Gabriel2,Zanghi Eric4

Affiliation:

1. Department of Electromechanical and Power Systems University of Santa Maria Santa Maria Brazil

2. Department of Exact Sciences and Engineering Northwestern Regional University of Rio Grande do Sul State Ijuí Brazil

3. Aalborg University Electrical Engineering Aalborg University Aalborg Denmark

4. Department of Electrical Engineering Instituto Superior Politécnico—ISPGAYA Vila Nova de Gaia Portugal

Abstract

AbstractThe reconfiguration of electrical distribution systems has been addressed in numerous scientific studies. Thus, several techniques and models are considered, especially to reduce electrical losses and improve the voltage profile. However, it is clear that even with the increase in research, which has been accentuated since the last decade, the locational pricing and the transmission costs allocation is little explored. In this regard, the proposed method is a distribution system reconfiguration (DSR) optimization problem focused on minimizing the use of the transmission system. In order to validate the meta‐heuristic employed for the DSR, the IEEE 33 and 69 node test systems are used as a proof of concept. In addition, case studies with four substations, three different transmission cost allocation techniques, and transmission system capacity scenarios are analyzed. Numerical results showed an important transmission expansion deferral with consequent decrease in overall costs compared to the classic DSR. The transmission network use of system (TNUoS) charges can play a crucial role in reducing the total cost of the electrical system, promoting distributors to change their feeder patterns so that a larger share of loads access substations with lower charges.

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

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