
Research Article
Voltage Control Strategy of Power Distribution Network with Schedulable Distributed Resources
@INPROCEEDINGS{10.1007/978-3-031-31733-0_4, author={Ling Wang and Bo Fu and Youyong Lin and Chunming Tu and Fan Xiao and Qi Guo}, title={Voltage Control Strategy of Power Distribution Network with Schedulable Distributed Resources}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. 7th EAI International Conference, SmartGIFT 2022, Changsha, China, December 10-12, 2022, Proceedings}, proceedings_a={SMARTGIFT}, year={2023}, month={5}, keywords={Power Distribution Network Distributed Resource High Permeability Distributed Control}, doi={10.1007/978-3-031-31733-0_4} }
- Ling Wang
Bo Fu
Youyong Lin
Chunming Tu
Fan Xiao
Qi Guo
Year: 2023
Voltage Control Strategy of Power Distribution Network with Schedulable Distributed Resources
SMARTGIFT
Springer
DOI: 10.1007/978-3-031-31733-0_4
Abstract
Wide use of schedulable distributed resources for flexible and effective power generation, combined with the actual situation of the country, has been valued by all countries of the world. Connecting schedulable distributed resources to power grid is an effective choice to solve the current energy shortage and improve energy utilization. When high proportion of schedulable distributed resources are connected to the power distribution network, power quality problems such as voltage fluctuation, flicker and off-limit will occur. Therefore, based on the distributed resource cluster, the power distribution network voltage control with a high proportion of distributed resource access is implemented. Through the calculation of the capacity utilization ratio of the leading nodes of the distributed resource cluster to the distributed power capacity, a quantitative relationship between the node voltage and the distributed resource output is established. And the corresponding parameter setting methods are given. Finally, the effectiveness of the proposed control strategy is verified by a numerical example in the IEEE 33-node system.