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Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System

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  • Liangce He

    (Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China)

  • Zhigang Lu

    (Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China)

  • Lili Pan

    (Cangzhou Power Supply Branch, State Grid Hebei Electric Power Co., Ltd., Cangzhou 061000, Hebei, China)

  • Hao Zhao

    (China Energy Engineering Group, Tianjin Electric Power Design Institute Co., Ltd., Tianjin 300400, China)

  • Xueping Li

    (Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China)

  • Jiangfeng Zhang

    (School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia)

Abstract

With the rapid development of the new concept of energy internet, electric power systems often need to be investigated together with thermal energy systems. Additionally, to reduce pollution from gas emissions, it is very important to study the economic and emission dispatch of integrated electrical and heating systems. Hence, this paper proposes a multi-objective optimization dispatch model for a microgrid (MG) with a combined heat and power (CHP) system. This CHP-based MG system consists of a CHP unit, a wind turbine, a PV system, a fuel cell, an electric boiler, an electric storage, and a heat storage. It can exchange electricity with the distribution network and exchange heat with the district heating network. Minimum economic cost and minimum environmental cost are considered as the two objectives for the operation of this CHP-based MG system. To solve the two objective optimization problem, the multi-objective bacterial colony chemotaxis algorithm is utilized to obtain the Pareto optimal solution set, and the optimal solution is chosen by the Technique for Order of Preference by Similarity to Ideal Solution method. Finally, numerical case studies demonstrate the effectiveness of proposed model and method for the optimal economic and emission dispatch of the CHP-based MG system.

Suggested Citation

  • Liangce He & Zhigang Lu & Lili Pan & Hao Zhao & Xueping Li & Jiangfeng Zhang, 2019. "Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System," Energies, MDPI, vol. 12(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:604-:d:205790
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    as
    1. Li, Zhengmao & Xu, Yan, 2018. "Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes," Applied Energy, Elsevier, vol. 210(C), pages 974-986.
    2. Kopanos, Georgios M. & Georgiadis, Michael C. & Pistikopoulos, Efstratios N., 2013. "Energy production planning of a network of micro combined heat and power generators," Applied Energy, Elsevier, vol. 102(C), pages 1522-1534.
    3. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Xu, Xiandong & Yu, Xiaodan, 2016. "Optimal day-ahead scheduling of integrated urban energy systems," Applied Energy, Elsevier, vol. 180(C), pages 1-13.
    4. Martínez Ceseña, Eduardo A. & Good, Nicholas & Syrri, Angeliki L.A. & Mancarella, Pierluigi, 2018. "Techno-economic and business case assessment of multi-energy microgrids with co-optimization of energy, reserve and reliability services," Applied Energy, Elsevier, vol. 210(C), pages 896-913.
    5. Anvari-Moghaddam, Amjad & Rahimi-Kian, Ashkan & Mirian, Maryam S. & Guerrero, Josep M., 2017. "A multi-agent based energy management solution for integrated buildings and microgrid system," Applied Energy, Elsevier, vol. 203(C), pages 41-56.
    6. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    7. Bustos, Cristian & Watts, David, 2017. "Novel methodology for microgrids in isolated communities: Electricity cost-coverage trade-off with 3-stage technology mix, dispatch & configuration optimizations," Applied Energy, Elsevier, vol. 195(C), pages 204-221.
    8. Li, Mengyu & Zhang, Xiongwen & Li, Guojun & Jiang, Chaoyang, 2016. "A feasibility study of microgrids for reducing energy use and GHG emissions in an industrial application," Applied Energy, Elsevier, vol. 176(C), pages 138-148.
    9. Monteiro, Eliseu & Moreira, Nuno Afonso & Ferreira, Sérgio, 2009. "Planning of micro-combined heat and power systems in the Portuguese scenario," Applied Energy, Elsevier, vol. 86(3), pages 290-298, March.
    10. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    11. Adam, Alexandros & Fraga, Eric S. & Brett, Dan J.L., 2015. "Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration," Applied Energy, Elsevier, vol. 138(C), pages 685-694.
    12. Jin, Ming & Feng, Wei & Liu, Ping & Marnay, Chris & Spanos, Costas, 2017. "MOD-DR: Microgrid optimal dispatch with demand response," Applied Energy, Elsevier, vol. 187(C), pages 758-776.
    13. Liu, Zifa & Chen, Yixiao & Zhuo, Ranqun & Jia, Hongjie, 2018. "Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling," Applied Energy, Elsevier, vol. 210(C), pages 1113-1125.
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    Cited by:

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    2. Shuhei Yamano & Atsushi Akisawa, 2022. "Evaluation of an Additional Generator on the Economic Effect Based on a Load Sharing Optimization of Medium-Speed/High-Speed Diesel Generators in a Microgrid," Energies, MDPI, vol. 15(3), pages 1-17, January.
    3. Ali Sulaiman Alsagri & Abdulrahman A. Alrobaian, 2022. "Optimization of Combined Heat and Power Systems by Meta-Heuristic Algorithms: An Overview," Energies, MDPI, vol. 15(16), pages 1-34, August.
    4. Whei-Min Lin & Chung-Yuen Yang & Chia-Sheng Tu & Hsi-Shan Huang & Ming-Tang Tsai, 2019. "The Optimal Energy Dispatch of Cogeneration Systems in a Liberty Market," Energies, MDPI, vol. 12(15), pages 1-15, July.
    5. Víctor Sanz i López & Ramon Costa-Castelló & Carles Batlle, 2022. "Literature Review of Energy Management in Combined Heat and Power Systems Based on High-Temperature Proton Exchange Membrane Fuel Cells for Residential Comfort Applications," Energies, MDPI, vol. 15(17), pages 1-22, September.
    6. Lukas Kerpen & Achim Schmidt & Bernd Sankol, 2021. "Differentiating the Physical Optimum from the Exergetic Evaluation of a Methane Combustion Process," Energies, MDPI, vol. 14(12), pages 1-17, June.
    7. Yuxing Liu & Linjun Zeng & Jie Zeng & Zhenyi Yang & Na Li & Yuxin Li, 2023. "Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP," Energies, MDPI, vol. 16(5), pages 1-17, February.
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