A SVC Voltage Regulation Control Strategy of Active Distribution Network Based on Improved Particle Swarm Algorithm
With the continuous depletion of fossil energy, the state has introduced a series of policies to aggressively pursue the development of new energy sources to protect the environment and realize sustainable development. Distributed photovoltaic is widely utilized due to its advantages of flexible installation, cleanliness and high efficiency. However, the output of distributed PV is uncertain and random. When it integrated into the distribution network on a large scale, they may alter the power flow direction, impacting the quality of power in the distribution network and potentially causing serious consequence such as voltage limit violation. To ensure stable voltage levels, this article presents a strategy for optimizing reactive power and voltage, taking into account the integration of distributed photovoltaic systems. Firstly, the paper establishes a model for the output of distributed PV and analyzes the impact of the integration on the voltage. Subsequently, it introduces the working principle of the Static Var Compensator (SVC). Aiming to reduce voltage deviations within the distribution grid, an Improved Particle Swarm Optimization (PSO) algorithm is utilized for a case study on the IEEE 33-bus system. The results validate that the proposed SVC reactive power compensation strategy can optimize the voltage and guarantee the secure and reliable functioning of the distribution grid.
Authors
- Xixi Guan (ORCID: https://orcid.org/0000-0001-9545-4846)
- B. Shao (ORCID: https://orcid.org/0000-0002-6272-8190)
- Dian Shao
- Wei Jiang (ORCID: https://orcid.org/0000-0003-0142-4465)
- Yingjun Ma (ORCID: https://orcid.org/0000-0001-6044-1439)
Institutions
- Shanghai Electric (China) (CN)
- Zhejiang University (CN)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/scems63294.2024.10756411
- Citations
- 2
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.34