Distributed Photovoltaic Power Siting and Capacity Sizing Based on Improved Particle Swarm Optimization Algorithm
A photovoltaic grid integration planning method that balances economy and safety is proposed for the site selection and capacity determination of distributed photovoltaic power sources accessed to the distribution grid. Considering three objectives of voltage deviation, network loss, and investment cost, a multi-objective constrained optimization model for distributed photovoltaic access distribution network is constructed with constraints of power flow, node voltage, and access capacity. A distributed photovoltaic access distribution network location and capacity optimization method based on improved particle swarm optimization is proposed. Taking the IEEE33 node distribution system as an example, simulation and comparative analysis are conducted to verify its effectiveness and feasibility.
Authors
- Kui Ma (ORCID: https://orcid.org/0000-0002-5667-4755)
- Qun Yu (ORCID: https://orcid.org/0000-0003-3426-5026)
- Xinze Zhang (ORCID: https://orcid.org/0009-0008-9546-0574)
- Tianle Wang (ORCID: https://orcid.org/0000-0002-7779-1643)
- Yan Wang (ORCID: https://orcid.org/0009-0002-3286-3516)
Institutions
- Shanghai Electric (China) (CN)
- Shandong University of Science and Technology (CN)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/scems63294.2024.10756479
- Citations
- 1
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.17