The Optimal Planning Method of Distribution Network Considering the Access of Electrothermic Coupling Equipment

The access of renewable energy and thermoelectric coupling equipment poses a challenge to the stable operation of distribution network. In this paper, the energy storage system in the distribution network is configured. NSGA-II algorithm is used to solve the problem by taking planning cost, node heating temperature fluctuation and distribution network voltage deviation as objective functions. The simulation results based on IEEE-33 node test system show that with the configuration method described in this paper, the node heating temperature fluctuation is reduced by 8.53% and the node voltage deviation is reduced by 6.94% at a cost of $462,711.9 per year. In addition, simulation experiments are designed to verify the effectiveness of the optimal configuration method.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768626
Primary Topic
Power Systems and Technologies
Type
article
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article

The Optimal Planning Method of Distribution Network Considering the Access of Electrothermic Coupling Equipment

Bin Xiao
Power Systems and Technologies
article

The Optimal Planning Method of Distribution Network Considering the Access of Electrothermic Coupling Equipment

Bin Xiao
article en

Abstract

The access of renewable energy and thermoelectric coupling equipment poses a challenge to the stable operation of distribution network. In this paper, the energy storage system in the distribution network is configured. NSGA-II algorithm is used to solve the problem by taking planning cost, node heating temperature fluctuation and distribution network voltage deviation as objective functions. The simulation results based on IEEE-33 node test system show that with the configuration method described in this paper, the node heating temperature fluctuation is reduced by 8.53% and the node voltage deviation is reduced by 6.94% at a cost of $462,711.9 per year. In addition, simulation experiments are designed to verify the effectiveness of the optimal configuration method.

Shanghai Electric (China) (CN)
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Power Systems and Technologies
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