Work

Research on Self-Healing Distribution Network Operation Optimization Method Considering Carbon Emission Reduction

Year: 2025

Type: article

Abstract: To improve the consumption rate of distributed energy and enhance the self-healing performance of distribution networks, this paper proposes a distribution network optimization method considering carbon emissions and dynamic reconfiguration. Firstly, various measures such as dynamic reconfiguration and distributed energy scheduling are used in upper-level optimization to reduce the network loss and solar curtailment cost of the system and to realize the optimal economic operation of the distribution network. Secondly, based on carbon emission flow theory in lower-level optimization, a low-carbon demand response model with a dynamic carbon emission factor as the guiding signal is established to promote carbon emission reduction on the user side. Then, the second-order cone planning and improved dung beetle optimization algorithm are used to solve the model. Finally, it is verified on the test system that the method can effectively reduce the risk of voltage overruns and enhance the low-carbonization and economy of distribution network operation.

Source: Processes

DOI: 10.3390/pr13061850

Authors: Weijie Huang, Gang Chen, Xiaoming Jiang, Xiong Xiao, Yiyi Chen, Chong Liu

Institutions: Guangdong Power Grid Company (China), University of South China

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,896