Optimization of Active Distribution Network Operation with SOP Considering Reverse Power Flow

被引:0
|
作者
Ma, Zhanhui [1 ]
Cao, Fang [1 ]
机构
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Changping District, Beijing,102206, China
来源
Applied Sciences (Switzerland) | 2024年 / 14卷 / 24期
关键词
Evaluation methods - Flow transmissions - Mixed integer linear programming model - Power electronic devices - Reliability Evaluation - Reliability evaluation method - Reverse flow - Reverse Power flows - Soft open point - Transmission capacities;
D O I
10.3390/app142411797
中图分类号
学科分类号
摘要
As the penetration of distributed renewable energy increases, the phenomenon of bidirectional power flow in distribution networks becomes increasingly severe. Traditional regulation devices like OLTC (on-load tap changer) and CB (capacitor bank) cannot effectively mitigate reverse power flow in distribution networks due to their limitations. The transmission capacity of the distribution network under reverse power flow is approximately 50% of the rated capacity of the OLTC, leading to issues such as voltage limit violations and high wind and solar curtailment rates. This paper proposes a method for calculating the reverse power flow delivery capacity of distribution networks, quantitatively describing the distribution network’s delivery limits for reverse power flow. Based on this, a joint optimization model for multiple distribution networks with an SOP is established. The SOP is utilized to share reverse power flow delivery capacity among multiple distribution networks, enhancing operational economy and increasing the accommodation of the DG. Finally, the method’s effectiveness and correctness are verified in the IEEE 33-node system. The results validate that while joint operation does not enhance the reverse flow transmission capacity of a single distribution network, it can, through the shared reverse flow transmission capacity approach, elevate the reverse flow transmission capacity to approximately 70% during the majority of time periods. © 2024 by the authors.
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