Cross‐entropy method for distribution power systems reconfiguration

Sebaa, Karim; Gelen, Ayetül; Nouri, Hassan

doi:10.1002/eng2.12052

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Table 2 presents the initial configuration and the ideal configuration for the IEEE 69‐node test system. In this case, the proposed DSR resulted in a value of electrical losses of 99.6 kW, therefore in line with the results of previous studies 6,27,31 . Such results demonstrate that the developed methodology is consistent for both test systems.…”

Section: Resultssupporting

confidence: 90%

Distribution grid reconfiguration sensitive to transmission cost allocation

Nicoletti,

Sperandio,

Machado Santos

et al. 2023

Circuit Theory & Apps

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The 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.

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Section: Resultssupporting

confidence: 90%

Distribution grid reconfiguration sensitive to transmission cost allocation

Nicoletti,

Sperandio,

Machado Santos

et al. 2023

Circuit Theory & Apps

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“…In Reference 5, a method is proposed to determine the minimum energy loss configuration for a given period. Strategies and solutions for reconfiguring the feeder are suggested in References 6‐11.…”

Section: Introductionmentioning

confidence: 99%

Impact of replacing overhead lines with aerial bundled cable, and installation of new transformers to reduce losses and improve distribution network voltage profiles, technical and economic analysis

Abdollahi

Moradi

Alizadeh

et al. 2020

Engineering Reports

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Today, reducing distribution system losses is a top priority in the design and operation of electricity grids. In an electricity grid, a significant percentage of the power and energy generated in power stations is wasted on the way to the transmission system. Losses can occur at all levels of the system's power, namely, production, transmission, and distribution system. The low voltage level, high current level, and radial distribution system structure leads to an increase in the percentage of losses in the distribution sector. For example, in 2018, about 80% of power system losses occurred in distribution systems in Iran. Several methods have been proposed to reduce the losses such as placing capacitors at medium and low voltage levels, reconfiguring the grids, increasing the cross-section in conductors, and so on in recent years. In this article, two practical and effective solutions to reduce losses in the distribution system are studied and analyzed. The first solution is to install transformers in overload points of the network to reduce technical losses and increase the reliability and stability of the grid and improve voltage profiles, and the second solution is the plan to replace the overhead lines with the aerial bundled cable to reduce nontechnical losses. Sheet 13 of Qom distribution system is considered as a study network in order to investigate and analyze the impact of implementing these two proposed solutions in reducing losses and it also uses the data of data logger device installed in the distribution system as well as the simulation data obtained in the CYMDIST software. In order to more accurately and comprehensively analyze the impact of the proposed solutions on loss reduction, based on the annual load growth in the Qom distribution system, studies are presented for 5 years. Finally, based on two suggested solutions, three scenarios are presented and the effective scenario is identified and This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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