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Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response

Author

Listed:
  • Weidong Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Tie Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    State Grid Liaoning Electric Power Supply CO. LTD, Shenyang 110004, China)

  • Haixin Wang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Jian Dong

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Yunlu Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Dai Cui

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    State Grid Liaoning Electric Power Supply CO. LTD, Shenyang 110004, China)

  • Weichun Ge

    (State Grid Liaoning Electric Power Supply CO. LTD, Shenyang 110004, China)

  • Junyou Yang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Martin Onyeka Okoye

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

Abstract

In order to reduce the pollution caused by coal-fired generating units during the heating season, and promote the wind power accommodation, an electrical and thermal system dispatch model based on combined heat and power (CHP) with thermal energy storage (TES) and demand response (DR) is proposed. In this model, the emission cost of CO 2 , SO 2 , NO x , and the operation cost of desulfurization and denitrification units is considered as environmental cost, which will increase the proportion of the fuel cost in an economic dispatch model. Meanwhile, the fuel cost of generating units, the operation cost and investment cost of thermal energy storage and electrical energy storage, the incentive cost of DR, and the cost of wind curtailment are comprehensively considered in this dispatch model. Then, on the promise of satisfying the load demand, taking the minimum total cost as an objective function, the power of each unit is optimized by a genetic algorithm. Compared with the traditional dispatch model, in which the environmental cost is not considered, the numerical results show that the daily average emissions CO 2 , SO 2 , NO x , are decreased by 14,354.35 kg, 55.5 kg, and 47.15 kg, respectively, and the wind power accommodation is increased by an average of 6.56% in a week.

Suggested Citation

  • Weidong Li & Tie Li & Haixin Wang & Jian Dong & Yunlu Li & Dai Cui & Weichun Ge & Junyou Yang & Martin Onyeka Okoye, 2019. "Optimal Dispatch Model Considering Environmental Cost Based on Combined Heat and Power with Thermal Energy Storage and Demand Response," Energies, MDPI, vol. 12(5), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:817-:d:210161
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    References listed on IDEAS

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    1. Da Liu & Guowei Zhang & Baohua Huang & Weiwei Liu, 2016. "Optimum Electric Boiler Capacity Configuration in a Regional Power Grid for a Wind Power Accommodation Scenario," Energies, MDPI, vol. 9(3), pages 1-13, March.
    2. Li Han & Rongchang Zhang & Xuesong Wang & Yu Dong, 2018. "Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction," Energies, MDPI, vol. 11(8), pages 1-27, August.
    3. Lorestani, A. & Ardehali, M.M., 2018. "Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm," Renewable Energy, Elsevier, vol. 119(C), pages 490-503.
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    2. Yanhong Luo & Zhenxing Yin & Dongsheng Yang & Bowen Zhou, 2019. "A New Wind Power Accommodation Strategy for Combined Heat and Power System Based on Bi-Directional Conversion," Energies, MDPI, vol. 12(13), pages 1-16, June.
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    6. Ma, Yiming & Wang, Haixin & Hong, Feng & Yang, Junyou & Chen, Zhe & Cui, Haoqian & Feng, Jiawei, 2021. "Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system," Energy, Elsevier, vol. 236(C).
    7. Xiaolong Yang & Yan Li & Dongxiao Niu & Lijie Sun, 2019. "Research on the Economic Benefit Evaluation of Combined Heat and Power (CHP) Technical Renovation Projects Based on the Improved Factor Analysis and Incremental Method in China," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    8. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    9. Omid Sadeghian & Arash Moradzadeh & Behnam Mohammadi-Ivatloo & Mehdi Abapour & Fausto Pedro Garcia Marquez, 2020. "Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach," Energies, MDPI, vol. 13(11), pages 1-25, June.
    10. Jiawei Feng & Junyou Yang & Haixin Wang & Huichao Ji & Martin Onyeka Okoye & Jia Cui & Weichun Ge & Bo Hu & Gang Wang, 2020. "Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources," Energies, MDPI, vol. 13(13), pages 1-19, July.
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