An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system

Pan, Chenyun; Fan, Hongtao; Zhang, Ruixiang; Sun, Jie; Wang, Yu; Sun, Yaojie

doi:10.1016/j.apenergy.2023.121137

Cited by 36 publications

(5 citation statements)

References 42 publications

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“…In recent research, IESs have commonly incorporated electrical energy storage to ensure energy balance and minimize system costs [9,10]. Battery energy storage (BES), renowned for its rapid charge-discharge characteristics, is frequently employed in an IES [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Integrating Compressed CO2 Energy Storage in an Integrated Energy System

Huang,

Song,

Sun

et al. 2024

Energies

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The integration of an energy storage system into an integrated energy system (IES) enhances renewable energy penetration while catering to diverse energy loads. In previous studies, the adoption of a battery energy storage (BES) system posed challenges related to installation capacity and capacity loss, impacting the technical and economic performance of the IES. To overcome these challenges, this study introduces a novel design incorporating a compressed CO2 energy storage (CCES) system into an IES. This integration mitigates the capacity loss issues associated with BES systems and offers advantages for configuring large-scale IESs. A mixed integer linear programming problem was formulated to optimize the configuration and operation of the IES. With an energy storage capacity of 267 MWh, the IES integrated with a CCES (IES–CCES) system incurred an investment cost of MUSD 161.9, slightly higher by MUSD 0.5 compared to the IES integrated with a BES (IES–BES) system. When not considering the capacity loss of the BES system, the annual operation cost of the IES–BES system was 0.5 MUSD lower than that of the IES–CCES system, amounting to MUSD 766.6. However, considering the capacity loss of the BES system, this study reveals that the operation cost of the IES–BES system surpassed that of the IES–CCES system beyond the sixth year. Over the 30-year lifespan of the IES, the total cost of the IES–CCES system was MUSD 4.4 lower than the minimum total cost of the IES–BES system.

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Section: Introductionmentioning

confidence: 99%

Integrating Compressed CO2 Energy Storage in an Integrated Energy System

Huang,

Song,

Sun

et al. 2024

Energies

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“…Reference [21] considered the wind power and load forecast deviation, constructed a multi‐timescale rolling dispatch model, and analyzed the impact of uncertainty factors on the dispatch scheme. Reference [22] considered the battery life under frequent charging and discharging conditions in the day‐ahead stage, and the output of each device in the system was obtained by multi‐step rolling optimization in the intra‐day stage. However, in the intra‐day stage, the power of the battery and the external grid fluctuated more compared to the day‐ahead schedule, which may lead to unstable operation of the connected external grid.…”

Section: Introductionmentioning

confidence: 99%

A Two‐Stage Multi‐Objective Optimal Scheduling Model for Community Integrated Energy System

Liu,

Huang,

Sun

et al. 2024

IEEJ Transactions Elec Engng

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Community integrated energy system coupled with renewable energy generation provides an effective solution to improve economy and reduce carbon emissions. This paper establishes a two‐stage multi‐objective optimal scheduling model for community integrated energy system. During the day‐ahead scheduling stage, a comprehensive customer dissatisfaction model based on Kano model is established, and the model takes total operating cost, comprehensive customer dissatisfaction, and carbon emissions as multi‐objectives. The Non‐dominate Sorting Genetic Algorithmic‐II (NSGA‐II) and the CRITIC‐TOPSIS evaluation model are used to develop a day‐ahead scheduling scheme. On the premise of ensuring customer dissatisfaction, the intra‐day scheduling stage evens out the uncertainty of wind power and photovoltaic power through rolling optimization and improves the reliability of system operation. Simulation results show that the proposed model reduces the total operating cost and carbon emissions by 8.1% and 12.8%, respectively, which validates the effectiveness of the proposed model. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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“…[12] introduced composite operators to provide hydrogen, oxygen, and electricity storage services that operate in cooperative gaming with prosumers to minimize social costs. The participation of multitype ESSs in energy hubs for multi-timescale coordinated optimization was advised to meet integrated energy system peaking and track output planning needs in [13]. Ref.…”

Section: Introductionmentioning

confidence: 99%

A Transaction Model and Profit Allocation Method of Multiple Energy Storage Oriented to Versatile Regulation Demand

Zhi,

Xue,

et al. 2023

Sustainability

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This study proposes a day-ahead transaction model that combines multiple energy storage systems (ESS), including a hydrogen storage system (HSS), battery energy storage system (BESS), and compressed air energy storage (CAES). It is catering to the trend of a diversified power market to respond to the constraints from the insufficient flexibility of a high-proportion renewable energy system (RES). The model is a double-layer game based on the Nash–Stackelberg–cooperative (N–S–C) game. Multiple users in the upper layer form the Nash game with the goal of maximizing their own benefits, while the multiple ESSs in the lower layer form a cooperative game with the goal of maximizing the overall benefits; the two layers form a Stackelberg game. Moreover, an allocation mechanism is proposed to balance the overall and individual rationality and promote the sustainable development of multiple ESSs, considering the operational characteristics. A numerical simulation is carried out using the rationality and effectiveness of the proposed model, which is based on data from the renewable energy gathering area in northwest China. The results show that this strategy shortens the energy storage payback period and improves the energy storage utilization. The simulation results indicate that small-scale energy storage with a rated power of less than 18 MWh does not have a price advantage, indicating the need to improve the configuration capacity of energy storage in the future from decentralized energy storage to independent/shared energy storage.

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An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system

Cited by 36 publications

References 42 publications

Integrating Compressed CO2 Energy Storage in an Integrated Energy System

Integrating Compressed CO2 Energy Storage in an Integrated Energy System

A Two‐Stage Multi‐Objective Optimal Scheduling Model for Community Integrated Energy System

A Transaction Model and Profit Allocation Method of Multiple Energy Storage Oriented to Versatile Regulation Demand

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