Research on Stability Margin Optimization of Offshore Wind-Solar-Storage Power Delivery System via Flexible DC Transmission

With the increasing integration of renewable energy such as wind power and solar power into current power grids, the stability of hybrid power generation systems has become a critical challenge due to complex interactions and reduced grid inertia. This paper addresses the broadband oscillation instability in offshore wind-solar-storage power delivery systems via flexible HVDC transmission by proposing an impedance-based optimization method. The study establishes impedance models for wind turbines, photovoltaic inverters, energy storage converters and HVDCs, then employs particle swarm optimization (PSO) to maximize the system’s stability margin through optimal unit configuration. Experimental results demonstrate a significant improvement in stability, validating the effectiveness of the proposed approach for enhancing grid resilience.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icaisisas64483.2025.11051532
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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Research on Stability Margin Optimization of Offshore Wind-Solar-Storage Power Delivery System via Flexible DC Transmission

Zhen Li, Xin Tian, Xu Tian, Changcheng Song et al.
Power Systems and Renewable Energy
article

Research on Stability Margin Optimization of Offshore Wind-Solar-Storage Power Delivery System via Flexible DC Transmission

Zhen Li, Xin Tian, Xu Tian, Changcheng Song, Shichao Xu
article en

Abstract

With the increasing integration of renewable energy such as wind power and solar power into current power grids, the stability of hybrid power generation systems has become a critical challenge due to complex interactions and reduced grid inertia. This paper addresses the broadband oscillation instability in offshore wind-solar-storage power delivery systems via flexible HVDC transmission by proposing an impedance-based optimization method. The study establishes impedance models for wind turbines, photovoltaic inverters, energy storage converters and HVDCs, then employs particle swarm optimization (PSO) to maximize the system’s stability margin through optimal unit configuration. Experimental results demonstrate a significant improvement in stability, validating the effectiveness of the proposed approach for enhancing grid resilience.

Beijing Institute of Technology (CN), China University of Mining and Technology (CN)
State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 84%
Power Systems and Renewable Energy
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