Li, Peng, Ji, Haoran, Wang, Chengshan, Zhao, Jinli, Song, Guanyu, Fei, Ding and Wu, Jianzhong  ORCID: https://orcid.org/0000-0001-7928-3602
2017.
A coordinated control method of voltage and reactive power for active distribution net-works based on soft open point.
IEEE Transactions on Sustainable Energy
8
(4)
, pp. 1430-1442.
10.1109/TSTE.2017.2686009
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Abstract
The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribu-tion networks (ADNs). The conventional voltage regulation de-vices limited by the physical constraints are difficult to meet the requirement of real-time voltage and VAR control (VVC) with high precision when DGs fluctuate frequently. However, soft open point (SOP), a flexible power electronic device, can be used as the continuous reactive power source to realize the fast voltage regu-lation. Considering the cooperation of SOP and multiple regula-tion devices, this paper proposes a coordinated VVC method based on SOP for ADNs. Firstly, a time-series model of coordi-nated VVC is developed to minimize operation costs and eliminate voltage violations of ADNs. Then, by applying the linearization and conic relaxation, the original nonconvex mixed-integer non-linear optimization model is converted into a mixed-integer sec-ond-order cone programming (MISOCP) model which can be efficiently solved to meet the requirement of voltage regulation rapidity. Case studies are carried out on the IEEE 33-node system and IEEE 123-node system to illustrate the effectiveness of the proposed method.
| Item Type: | Article |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Schools > Engineering |
| Uncontrolled Keywords: | active distribution network (ADN), distributed generator (DG), soft open point (SOP), voltage and VAR control (VVC), mixed-integer second-order cone programming (MISOCP). |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| ISSN: | 1949-3029 |
| Funders: | EPSRC |
| Date of First Compliant Deposit: | 10 May 2017 |
| Date of Acceptance: | 19 March 2017 |
| Last Modified: | 14 Nov 2024 10:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/99901 |
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