Keywords
distributed generation, time series variation characteristics of source-load, voltage and reactive power partitioning, evaluation indexes of partitioning
Abstract
The integration of distributed generation (DG) to the distribution network and the random characteristic of DGs and load fluctuations increase the complexity of system optimization and control. In this paper, an adjustment strategy for partitioning is proposed considering the influence of DG integration on system voltage and reactive power partitioning based on the temporal characteristics of "source-load". Firstly, based on the principle of voltage and reactive power partitioning, four indexes containing regional reactive power balance, inter-regional coupling, intra-regional coupling, and regional reactive power reserve are selected as, and a fuzzy clustering partitioning model is established based on the augmented voltage and reactive power sensitivity matrix. Secondly, the characteristics of time series output of wind power and PV power, and typical daily load curve is analyzed to select the typical scenarios based on "source-load" time series. Then, a partitioning adjustment method is proposed considering the variations of the four regional evaluation indexes in multiple "source-load" scenarios. Finally, the simulation is conducted based on the modified IEEE 33-node system. And the results show that the sequential variation of the "source-load" affects the voltage and reactive power partitioning. Besides, the evaluation indexes of each partition can be controlled in a reasonable range based on the proposed partitioning adjustment method.
DOI
10.19781/j.issn.1673-9140.2022.04.006
First Page
45
Last Page
56
Recommended Citation
Ji, Yuqi; Chen, Xuehan; Xue, Yuan; He, Ping; Wang, Jialin; and Guo, Leilei
(2022)
"Voltage and reactive power partitioning of distribution network considering the temporal information of "source-load","
Journal of Electric Power Science and Technology: Vol. 37:
Iss.
4, Article 6.
DOI: 10.19781/j.issn.1673-9140.2022.04.006
Available at:
https://jepst.researchcommons.org/journal/vol37/iss4/6