Wind-storage coordinated control strategy for inertia enhancement of high ratio renewable energy power systems

Shu, Hongchun; Dong, Haifei; Wang, Guangxue; Chen, Jing; Shi, Botao; Tang, Yutao

doi:10.1016/j.est.2024.112998

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.112998

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Wind-storage coordinated control strategy for inertia enhancement of high ratio renewable energy power systems

Hongchun Shu,

Haifei Dong,

Guangxue Wang

et al.

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Cited by 3 publications

References 24 publications

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Optimization of optical storage VSG control strategy considering active power deviation and virtual inertia damping parameters

Yan,

Zhao,

Ullah

et al. 2024

Ain Shams Engineering Journal

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Optimization of optical storage VSG control strategy considering active power deviation and virtual inertia damping parameters

Yan,

Zhao,

Ullah

et al. 2024

Ain Shams Engineering Journal

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Adaptive MPC and power dispersion index based improved hierarchical frequency regulation for wind-storage integrated system

Zhu,

Shi,

Yao

et al. 2025

Journal of Energy Storage

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Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration

Tian,

Li,

Wang

et al. 2024

Sensors

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To address the challenges of reduced grid stability and wind curtailment caused by high penetration of wind energy, this paper proposes a demand response strategy that considers industrial loads and energy storage under high wind-power integration. Firstly, the adjustable characteristics of controllable resources in the power system are analyzed, and a demand response scheduling framework based on energy storage systems and industrial loads is established. Building on this foundation, a multi-scenario stochastic programming approach is employed to develop a day-ahead and intra-day multi-time-scale optimization scheduling model, aimed at maximizing economic benefits. In response to the challenges of wind-power fluctuations with high temporal resolution, a strategy for smoothing intra-day wind-power variability is further proposed. Finally, simulations are conducted to derive optimal demand response strategies for different stages. As verified by the comparison of different scheduling strategies, the demand response strategy proposed in this paper can reduce wind curtailment when there is sufficient wind power and reduce load shedding when there is insufficient wind power, which effectively reduces the system operation cost.

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Wind-storage coordinated control strategy for inertia enhancement of high ratio renewable energy power systems

Cited by 3 publications

References 24 publications

Optimization of optical storage VSG control strategy considering active power deviation and virtual inertia damping parameters

Optimization of optical storage VSG control strategy considering active power deviation and virtual inertia damping parameters

Adaptive MPC and power dispersion index based improved hierarchical frequency regulation for wind-storage integrated system

Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration

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