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

被引:0
作者
Huang, Weijie [1 ]
Chen, Gang [1 ]
Jiang, Xiaoming [1 ]
Xiao, Xiong [1 ]
Chen, Yiyi [1 ]
Liu, Chong [2 ]
机构
[1] Guangdong Power Grid Co Ltd, Jiangmen Power Supply Bur, Jiangmen 529000, Peoples R China
[2] Nanhua Univ, Elect Engn, Hengyang 421001, Peoples R China
关键词
distribution network; self-healing; distributed energy; PV power generation; demand response; carbon reduction; ACTIVE DISTRIBUTION NETWORKS;
D O I
10.3390/pr13061850
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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.
引用
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页数:19
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