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Simulation and evaluation of flexible enhancement of thermal power unit coupled with flywheel energy storage array

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  • Yang, Tingting
  • Liu, Ziyuan
  • Zeng, Deliang
  • Zhu, Yansong

Abstract

Under the background of “carbon neutrality” and “carbon peak” concepts, China desires to develop a new power system based on renewable energy sources (RES), which will be the primary energy support in prospective China. Thus, it is imperative to improve the peak shaving capability of power system to address the problem of random fluctuation and intermittency of RES by developing various energy storage systems. An innovative approach to enhance the flexibility of the conventional thermal power unit (TPU) through the utilization of flywheel energy storage array (FESA) is presented, simulated, and evaluated in this paper. Using the relatively practical and specific model of TPU and FESA, modified frequency modulation and automatic generation control (AGC) instruction tracing operation scenario models are constructed. A comprehensive control strategy of FESA and a well-designed operation coordinated control method for TPU with FESA are proposed and applied. The simulation results are distinctively processed and evaluated by the methods in “two documents”, aiming to assess the real-world operation performance of the model proposed in this paper. The comprehensive analysis of the indicators demonstrates that the FESA can improve the flexibility and economy of the units. This research may guide the usage of FESA to improve the operational flexibility of TPU.

Suggested Citation

  • Yang, Tingting & Liu, Ziyuan & Zeng, Deliang & Zhu, Yansong, 2023. "Simulation and evaluation of flexible enhancement of thermal power unit coupled with flywheel energy storage array," Energy, Elsevier, vol. 281(C).
    • Handle: RePEc:eee:energy:v:281:y:2023:i:c:s036054422301633x
    DOI: 10.1016/j.energy.2023.128239
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    1. Xiao, Feng & Yang, Zhengguang & Wei, Bo, 2024. "Distributed fixed-time cooperative control for flywheel energy storage systems with state-of-energy constraints," Energy, Elsevier, vol. 293(C).
    2. Fangfang Wang & Renjie Li & Guangjin Zhao & Dawei Xia & Weishu Wang, 2024. "Analysis of the Operating Characteristics of a Photothermal Storage Coupled Power Station Based on the Life-Cycle-Extending Renovation of Retired Thermal Power Units," Energies, MDPI, vol. 17(4), pages 1-14, February.
    3. Hyuk Choi & Ju-Hong Lee & Ji-Hoon Yu & Un-Chul Moon & Mi-Jong Kim & Kwang Y. Lee, 2023. "One-Step Ahead Control Using Online Interpolated Transfer Function for Supplementary Control of Air-Fuel Ratio in Thermal Power Plants," Energies, MDPI, vol. 16(21), pages 1-18, November.
    4. Li, Xuehan & Wang, Wei & Ye, Lingling & Ren, Guorui & Fang, Fang & Liu, Jizhen & Chen, Zhe & Zhou, Qiang, 2024. "Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design," Energy, Elsevier, vol. 300(C).
    5. Tongu, Daiki & Obara, Shin'ya, 2024. "Formation temperature range expansion and energy storage properties of CO2 hydrates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Huang, Congzhi, 2024. "A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy," Energy, Elsevier, vol. 289(C).

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