Multi-energy storage inertia optimal control of multi-energy system based on model prediction-event-triggered control and frequency stability

In view of the physical inertia of multi-energy system (MES) is greatly reduced and the anti-interference ability is greatly weakened due to the access of high-proportion renewable energy, a multi-energy storage inertia control method for MES considering frequency stability is proposed. Firstly, the inertia regulation control characteristics of multi-type energy equipment are studied, and the inertia response support model of MES based on multi-energy storage coordination is established. Next, the relationship between the future operation state of MES and inertia control of different energy storage equipment is analyzed, and the inertial control model of MES based on model prediction-event triggering is established. Then, the asynchronous communication characteristics of inertia control of multi-energy coupling equipment in heating network and natural gas system are analyzed, and a model predictive-event-triggered control algorithm based on inertial control is proposed. Finally, the simulation is carried out based on the operation data of a MES in China. The simulation results show that the inertia optimization control method of MES based on model prediction and event-triggered control in this paper can reduce the frequency deviation and frequency change rate under disturbance. • The frequency response support model of multi-energy storage is established. • The adaptive inertia control strategy based on multi-energy storage is proposed. • The inertia optimal control model of MES based on model prediction-event triggering is established. • Multi-energy energy storage of different energy subsystems can be effectively controlled based on MPC-ET.

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Publication Details

Journal
Journal of Energy Storage
Published
2026-02-26
DOI
https://doi.org/10.1016/j.est.2026.121307
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-energy storage inertia optimal control of multi-energy system based on model prediction-event-triggered control and frequency stability

Zhe Chen, Mao Yang, Yun Teng, Peng Sun
Journal of Energy Storage
Frequency Control in Power Systems
article

Multi-energy storage inertia optimal control of multi-energy system based on model prediction-event-triggered control and frequency stability

Zhe Chen, Mao Yang, Yun Teng, Peng Sun
article en

Abstract

In view of the physical inertia of multi-energy system (MES) is greatly reduced and the anti-interference ability is greatly weakened due to the access of high-proportion renewable energy, a multi-energy storage inertia control method for MES considering frequency stability is proposed. Firstly, the inertia regulation control characteristics of multi-type energy equipment are studied, and the inertia response support model of MES based on multi-energy storage coordination is established. Next, the relationship between the future operation state of MES and inertia control of different energy storage equipment is analyzed, and the inertial control model of MES based on model prediction-event triggering is established. Then, the asynchronous communication characteristics of inertia control of multi-energy coupling equipment in heating network and natural gas system are analyzed, and a model predictive-event-triggered control algorithm based on inertial control is proposed. Finally, the simulation is carried out based on the operation data of a MES in China. The simulation results show that the inertia optimization control method of MES based on model prediction and event-triggered control in this paper can reduce the frequency deviation and frequency change rate under disturbance. • The frequency response support model of multi-energy storage is established. • The adaptive inertia control strategy based on multi-energy storage is proposed. • The inertia optimal control model of MES based on model prediction-event triggering is established. • Multi-energy energy storage of different energy subsystems can be effectively controlled based on MPC-ET.

Journal of Energy StorageVol. 154
Shenyang University of Technology (CN), Northeast Electric Power University (CN), Aalborg University (DK)
Affordable and clean energy
Openalex Percentile: Top 44%
Frequency Control in Power Systems
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