Multi-objective Optimal Power Flow Solution Using CSVPSO
Optimal power flow (OPF) is essential for achieving the objectives of maximizing power security as well as minimizing fuel costs and emission amount of thermal plants. Few studies focus on the collaborative optimization of multi-objective OPF problems. In this paper, we improve the traditional particle swarm optimization (PSO) and adopt PSO of constriction ranges of search space and velocity (CSVPSO) to solve the problem. The problem is simulated on IEEE-30 node system. The result shows the advantages of this algorithm.
Authors
- Jinghua Li (ORCID: https://orcid.org/0000-0002-8237-1133)
- Bowei Sun (ORCID: https://orcid.org/0000-0001-8472-9138)
- Xiaoli Zhang (ORCID: https://orcid.org/0000-0001-8412-4956)
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/icpre62586.2024.10768576
- Citations
- 1
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.17