Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration
Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start‐up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorporates primary frequency modulation and the intrinsic inertia support capabilities of self‐synchronous voltage source field stations, considering dynamic frequency constraints. Additionally, it employs new energy units with primary frequency modulation to provide inertia support during curtailment, particularly when conventional units cannot meet frequency standards due to existing constraints. Extensive simulations and comparative analyses demonstrate that the proposed model improves new energy utilization by up to 37.5% and reduces operational costs by approximately 16%, enhancing overall operational efficiency in high energy consumption scenarios.
Authors
- Fengzhang Luo (ORCID: https://orcid.org/0000-0001-7136-6200)
- Qinglin Meng (ORCID: https://orcid.org/0000-0002-3855-0660)
- Botong Li (ORCID: https://orcid.org/0000-0003-0113-3756)
- Sheharyar Hussain
- Ying He (ORCID: https://orcid.org/0000-0002-1736-9520)
- Bing Sun (ORCID: https://orcid.org/0000-0001-8794-4853)
- Fei Zhou (ORCID: https://orcid.org/0009-0006-8357-860X)
- Xinyu Tong
- Lei Liu (ORCID: https://orcid.org/0000-0002-4604-4629)
Institutions
- North China Electric Power University (CN)
- Tianjin University (CN)
- State Grid Corporation of China (China) (CN)
- Tiangong University (CN)
- Tianjin Research Institute of Electric Science (China) (CN)
- China Electric Power Research Institute
- Tianjin Renai College
- Zhejiang University (CN)
Publication Details
- Journal
- IET Generation Transmission & Distribution
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1049/gtd2.13299
- Citations
- 71
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 23.31
Funders
- Science and Technology Project of State Grid
- State Grid Tianjin Electric Power Company