Optimization of Pumped Storage Capacity Configuration Considering Inertia Constraints and Duration Selection

In response to the decline in the inertia level of the power system caused by the large-scale integration of new energy, this paper proposes a grid-side pumped storage configuration strategy considering inertia constraints. The general pumped storage configuration ignores the duration of pumped storage and selects only single-duration units for capacity and power configuration. A single unit cannot balance rapid frequency response and long-term energy transfer, forcing thermal power to operate at high costs continuously to provide inertia support, while also causing a sharp increase in wind and solar power curtailment. This paper breaks through the limitations of the traditional single-duration pumped storage configuration and proposes a configuration-operation collaborative optimization strategy that combines inertia constraints and pumped storage duration selection. Firstly, starting from the system’s inertia requirements, the minimum inertia required by the system is obtained, respectively, based on the constraints of the system’s frequency change rate and the lowest point of the frequency. Furthermore, the minimum inertia demand constraint of the power system is constructed, and a capacity configuration strategy for grid-side pumped storage is proposed with the goal of minimizing the total operating cost of the power system throughout its entire cycle, taking into account the penalty term of the peak-valley difference index of the load curve and the penalty of the inertia guarantee value of medium and long-term units, while considering the inertia constraint. Finally, the effectiveness and superiority of the proposed method were verified through simulation analysis.

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Publication Details

Journal
Electronics
Published
2025-12-30
DOI
https://doi.org/10.3390/electronics15010175
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Optimization of Pumped Storage Capacity Configuration Considering Inertia Constraints and Duration Selection

Ziwei Zhong, Danwen Hua, Linjun Shi, Zhiqiang Gong et al.
Electronics
Microgrid Control and Optimization
article

Optimization of Pumped Storage Capacity Configuration Considering Inertia Constraints and Duration Selection

Ziwei Zhong, Danwen Hua, Linjun Shi, Zhiqiang Gong, Lingkai Zhu, Kai Liang, Junshan Guo, Feng Wu, Yang Li, Wei Zheng
article en

Abstract

In response to the decline in the inertia level of the power system caused by the large-scale integration of new energy, this paper proposes a grid-side pumped storage configuration strategy considering inertia constraints. The general pumped storage configuration ignores the duration of pumped storage and selects only single-duration units for capacity and power configuration. A single unit cannot balance rapid frequency response and long-term energy transfer, forcing thermal power to operate at high costs continuously to provide inertia support, while also causing a sharp increase in wind and solar power curtailment. This paper breaks through the limitations of the traditional single-duration pumped storage configuration and proposes a configuration-operation collaborative optimization strategy that combines inertia constraints and pumped storage duration selection. Firstly, starting from the system’s inertia requirements, the minimum inertia required by the system is obtained, respectively, based on the constraints of the system’s frequency change rate and the lowest point of the frequency. Furthermore, the minimum inertia demand constraint of the power system is constructed, and a capacity configuration strategy for grid-side pumped storage is proposed with the goal of minimizing the total operating cost of the power system throughout its entire cycle, taking into account the penalty term of the peak-valley difference index of the load curve and the penalty of the inertia guarantee value of medium and long-term units, while considering the inertia constraint. Finally, the effectiveness and superiority of the proposed method were verified through simulation analysis.

ElectronicsVol. 15(1)
Hohai University (CN)
Affordable and clean energy
Openalex Percentile: Top 35%
Microgrid Control and Optimization
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Optimization of Pumped Storage Capacity Configuration Considering Inertia Constraints and Duration Selection — Ziwei Zhong, Danwen Hua, et al. · Electronics (2025) | TGRS Research Map | TGRS