Frequency control strategy for coordinated energy storage system and flexible load in isolated power system

Yu, Jie; Liao, Siyang; Xu, Jian

doi:10.1016/j.egyr.2022.02.133

Cited by 12 publications

(2 citation statements)

References 12 publications

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“…e oscillation caused by new energy integration has an important impact on the safe operation of power system. erefore, the higher the proportion of new energy, the more serious the oscillation problem [11]. e popularization of new energy will not only affect the safe and stable operation of the power system but also have a significant impact on the operation rate of the new energy power system.…”

Section: State Of the Artmentioning

confidence: 99%

Double-Layer Optimal Configuration Method of Hybrid Energy Storage System Based on Chaotic Ant Colony Algorithm

Liu

Guo

et al. 2022

Advances in Multimedia

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In order to stabilize the output fluctuation of wind power generation, this paper applies control strategy to control the action of the battery energy storage system according to the stability target, and quickly makes up for the system demand. In this paper, the optimal scheduling of new energy power system with energy storage is studied. This model predictive control is introduced into a certain system and optimized by model predictive control strategy so that the combination can match the predetermined expectations. Then, the model predictive control strategy is used to improve the schedulability of the wind farm. The objective function is to minimize the amount of action, and the composite output can track the scheduling instructions. Considering the cost, the way of storage and operation cost is optimized, and the penalty cost of wind abandonment is also reduced. Through rolling optimization and feedback correction, the model predictive control is optimized and solved, and finally, the action instructions of the storage system are obtained so that the storage output can effectively calm the wind. Power makes the combination schedulable. The optimized wind power/energy storage output is equivalent to the benign and dispatchable power supply of the power grid.

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Section: State Of the Artmentioning

confidence: 99%

Double-Layer Optimal Configuration Method of Hybrid Energy Storage System Based on Chaotic Ant Colony Algorithm

Liu

Guo

et al. 2022

Advances in Multimedia

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“…However, the inertia that maintains the system frequency stability is declining because synchronous generators are being replaced by nonsynchronous generators (renewable resources) [ 6 ]. To arrest and stabilize frequency volatility in renewable-energy-penetrated power systems, it is essential to accurately and quickly predict system frequency stability, which helps system planners and dispatchers to determine the corresponding control measures in advance, such as under frequency load shedding [ 7 , 8 ], frequency regulation using renewable-power production units [ 9 ], frequency regulation using loads [ 10 ], and frequency regulation using storage devices [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Frequency Stability Prediction of Power Systems Using Vision Transformer and Copula Entropy

Liu

Han

et al. 2022

Entropy

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This paper addresses the problem of frequency stability prediction (FSP) following active power disturbances in power systems by proposing a vision transformer (ViT) method that predicts frequency stability in real time. The core idea of the FSP approach employing the ViT is to use the time-series data of power system operations as ViT inputs to perform FSP accurately and quickly so that operators can decide frequency control actions, minimizing the losses caused by incidents. Additionally, due to the high-dimensional and redundant input data of the power system and the O(N2) computational complexity of the transformer, feature selection based on copula entropy (CE) is used to construct image-like data with fixed dimensions from power system operation data and remove redundant information. Moreover, no previous FSP study has taken safety margins into consideration, which may threaten the secure operation of power systems. Therefore, a frequency security index (FSI) is used to form the sample labels, which are categorized as “insecurity”, “relative security”, and “absolute security”. Finally, various case studies are carried out on a modified New England 39-bus system and a modified ACTIVSg500 system for projected 0% to 40% nonsynchronous system penetration levels. The simulation results demonstrate that the proposed method achieves state-of-the-art (SOTA) performance on normal, noisy, and incomplete datasets in comparison with eight machine-learning methods.

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Frequency control strategy for coordinated energy storage system and flexible load in isolated power system

Cited by 12 publications

References 12 publications

Double-Layer Optimal Configuration Method of Hybrid Energy Storage System Based on Chaotic Ant Colony Algorithm

Double-Layer Optimal Configuration Method of Hybrid Energy Storage System Based on Chaotic Ant Colony Algorithm

Frequency Stability Prediction of Power Systems Using Vision Transformer and Copula Entropy

Load frequency regulation of multi-area power systems with communication delay via cascaded improved ADRC

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