Keywords
reactive power regulation of inverter; magnetically controlled reactor; voltage partition; reactive power optimization; improved quantum particle swarm algorithm
Abstract
To utilize the reactive power regulation and voltage control capabilities of reactive power devices and photovoltaic inverters and improve system operation efficiency and safety stability, a coordinated reactive voltage control of the distribution network with photovoltaic inverter and magnetically controlled reactor based on adaptive voltage partition weights is proposed. By detecting the grid-connected point voltage range, the reactive power under the weight calculation integrated strategy is adaptively obtained, and the photovoltaic inverter is controlled. Meanwhile, an optimization model with voltage deviation and active transmission loss as objectives is established to optimize the reactive power of the distribution network containing magnetically controlled reactors and inverters based on the improved quantum particle swarm algorithm. Simulation analysis results of the improved IEEE 33 node system show that the proposed strategy results in a 4.28% reduction in the average grid voltage deviation when the active output is 2 MW. During the coordinated reactive power optimization of the inverter and magnetically controlled reactor, the maximum transmission loss is reduced by 2 663.186 kW using the improved quantum particle swarm algorithm, and the average voltage deviation at the nodes where the photovoltaic is located (10, 15, 24, and 30) is reduced by 1.63%, 2.32%, 0.38%, and 0.49%, respectively. The results show that the proposed method in this paper can effectively improve the grid stability and economic performance.
DOI
10.19781/j.issn.1673-9140.2025.06.013
First Page
136
Last Page
146
Recommended Citation
WANG, Haiyun; CHEN, Qian; ZHANG, Linyu; YIN, Xiyu; ZHANG, Zhijian; WEI, Huayue; and CHEN, Xiaoyue
(2026)
"Coordinated reactive voltage control of distribution network with photovoltaic inverter and magnetically controlled reactor based on adaptive voltage partition weights,"
Journal of Electric Power Science and Technology: Vol. 40:
Iss.
6, Article 13.
DOI: 10.19781/j.issn.1673-9140.2025.06.013
Available at:
https://jepst.researchcommons.org/journal/vol40/iss6/13
