A multi-objective distribution network partitioned voltage active-reactive coordination control strategy based on Synchronous ADMM
In the face of the increasingly intricate and fluid landscape of contemporary power systems, the effective administration of distribution networks has emerged as a pivotal issue for electricity companies. In light of this, this paper proposes a multi-objective distribution network partitioned voltage active-reactive coordination control strategy based on Synchronous ADMM. Firstly, a holistic electrical distance metric, regional coupling intensity, and regional reactive power equilibrium indicator have been formulated for the distribution network. The PSO technique is employed for the network partitioning process. Secondly, based on the regional partitioning, a regional voltage autonomous model is constructed with the objective function of minimizing the sum of photovoltaic active power reduction, node voltage deviation, and network loss. Finally, network is partitioned and decoupled, and the synchronous ADMM algorithm is utilized to achieve coordinated optimization control of voltage levels based on inter-regional information exchange. The simulations performed on the improved IEEE 33-node distribution network validate the effectiveness of the proposed regional voltage control strategy. This method is demonstrated to markedly enhance the general voltage quality and boost the safety and stability of the distribution network.
Authors
- Bowen Zou (ORCID: https://orcid.org/0000-0002-5467-409X)
- Huifeng Wang (ORCID: https://orcid.org/0000-0002-0389-7533)
- Miaomiao Wang (ORCID: https://orcid.org/0000-0002-8861-612X)
- Xin Wang (ORCID: https://orcid.org/0000-0001-8893-5430)
- Song Zhigang
- Yue Gao
- Lei Song (ORCID: https://orcid.org/0000-0002-7613-7666)
Institutions
- Xihua University (CN)
- State Nuclear Power Technology Company (China) (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/sgei63936.2024.10914251
- Citations
- 1
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.35