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Application of multi-agent EADRC in flexible operation of combined heat and power plant considering carbon emission and economy

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  • Hou, Guolian
  • Huang, Ting
  • Zheng, Fumeng
  • Gong, Linjuan
  • Huang, Congzhi
  • Zhang, Jianhua

Abstract

Flexibility enhancement of combined heat and power (CHP) plant is extremely urgent to accommodate renewable energy and maintain the stability of power grid. In this paper, a new control strategy seamlessly integrates the error-based active disturbance rejection control (EADRC), Kalman filter and reinforcement learning algorithm is proposed and applied to CHP plant for operational flexibility promotion. Firstly, in EADRC, load fluctuation, uncertainties and heating supply interference are regarded as a total disturbance precisely estimated and compensated in real-time. Secondly, the optimal parameters of controller are obtained via the twin delayed deep deterministic policy gradient algorithm based multi-agent system. Under the demand of flexible operation, a comprehensive optimization objective including general control objectives and carbon reduction requirements is constructed for CHP plant. By setting the multi-objective function as the reward function of multi-agent system, plant is guided to the Utopia point which emblems the flexible, economic and low-carbon operation. The new controller effectively fuses the features from each component, namely state estimation, dynamic optimization, and continuous learning. Thirdly, the stability analysis of proposed controller based on singular perturbation theory is provided. Finally, the flexible and low–carbon operation capacity of CHP plant with the new control scheme under wide-load operating conditions is successfully verified through extensive simulations.

Suggested Citation

  • Hou, Guolian & Huang, Ting & Zheng, Fumeng & Gong, Linjuan & Huang, Congzhi & Zhang, Jianhua, 2023. "Application of multi-agent EADRC in flexible operation of combined heat and power plant considering carbon emission and economy," Energy, Elsevier, vol. 263(PB).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pb:s036054422202597x
    DOI: 10.1016/j.energy.2022.125711
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    as
    1. Jia, Chengzhen & Wang, Lingmei & Meng, Enlong & Chen, Liming & Liu, Yushan & Jia, Wenqiang & Bao, Yutao & Liu, Zhenguo, 2021. "Combining LIDAR and LADRC for intelligent pitch control of wind turbines," Renewable Energy, Elsevier, vol. 169(C), pages 1091-1105.
    2. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    3. Yadegari, Saeed & Abdi, Hamdi & Nikkhah, Saman, 2020. "Risk-averse multi-objective optimal combined heat and power planning considering voltage security constraints," Energy, Elsevier, vol. 212(C).
    4. Hou, Guolian & Gong, Linjuan & Hu, Bo & Su, Huilin & Huang, Ting & Huang, Congzhi & Fan, Wei & Zhao, Yuanzhu, 2022. "Application of fast adaptive moth-flame optimization in flexible operation modeling for supercritical unit," Energy, Elsevier, vol. 239(PA).
    5. Wang, Jiangjiang & Liu, Yi & Ren, Fukang & Lu, Shuaikang, 2020. "Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility," Energy, Elsevier, vol. 197(C).
    6. Wang, Jiawei & You, Shi & Zong, Yi & Cai, Hanmin & Træholt, Chresten & Dong, Zhao Yang, 2019. "Investigation of real-time flexibility of combined heat and power plants in district heating applications," Applied Energy, Elsevier, vol. 237(C), pages 196-209.
    7. Hou, Guolian & Xiong, Jian & Zhou, Guiping & Gong, Linjuan & Huang, Congzhi & Wang, Shunjiang, 2021. "Coordinated control system modeling of ultra-supercritical unit based on a new fuzzy neural network," Energy, Elsevier, vol. 234(C).
    8. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    9. Li, Jiawen & Yu, Tao & Zhang, Xiaoshun & Li, Fusheng & Lin, Dan & Zhu, Hanxin, 2021. "Efficient experience replay based deep deterministic policy gradient for AGC dispatch in integrated energy system," Applied Energy, Elsevier, vol. 285(C).
    10. Liu, Ming & Ma, Guofeng & Wang, Shan & Wang, Yu & Yan, Junjie, 2021. "Thermo-economic comparison of heat–power decoupling technologies for combined heat and power plants when participating in a power-balancing service in an energy hub," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    11. Meng, Anbo & Wang, Peng & Zhai, Guangsong & Zeng, Cong & Chen, Shun & Yang, Xiaoyi & Yin, Hao, 2022. "Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization," Energy, Elsevier, vol. 254(PA).
    12. Lio, Wai Hou & Larsen, Gunner Chr. & Thorsen, Gunhild R., 2021. "Dynamic wake tracking using a cost-effective LiDAR and Kalman filtering: Design, simulation and full-scale validation," Renewable Energy, Elsevier, vol. 172(C), pages 1073-1086.
    13. Hou, Guolian & Gong, Linjuan & Hu, Bo & Huang, Ting & Su, Huilin & Huang, Congzhi & Zhou, Guiping & Wang, Shunjiang, 2022. "Flexibility oriented adaptive modeling of combined heat and power plant under various heat-power coupling conditions," Energy, Elsevier, vol. 242(C).
    14. Yin, Junjie & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Yan, Junjie, 2021. "Dynamic performance and control strategy modification for coal-fired power unit under coal quality variation," Energy, Elsevier, vol. 223(C).
    15. Hou, Guolian & Ke, Yin & Huang, Congzhi, 2021. "A flexible constant power generation scheme for photovoltaic system by error-based active disturbance rejection control and perturb & observe," Energy, Elsevier, vol. 237(C).
    16. Bloess, Andreas, 2020. "Modeling of combined heat and power generation in the context of increasing renewable energy penetration," Applied Energy, Elsevier, vol. 267(C).
    17. Wang, Wanrong & Ma, Yingjie & Maroufmashat, Azadeh & Zhang, Nan & Li, Jie & Xiao, Xin, 2022. "Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework," Applied Energy, Elsevier, vol. 305(C).
    18. Zhou, Jianhao & Xue, Siwu & Xue, Yuan & Liao, Yuhui & Liu, Jun & Zhao, Wanzhong, 2021. "A novel energy management strategy of hybrid electric vehicle via an improved TD3 deep reinforcement learning," Energy, Elsevier, vol. 224(C).
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