An Optimization Model for PV and CCHP-Supplied Power System in Buildings

  • Jin ZhaoEmail author
  • Jing Yong
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)


The combined cooling, heating, and power (CCHP) system is beneficial to energy conservation and pollution elimination. With the increased application of the distributed photovoltaic (PV) system, the CCHP and PV combined system is attracting the attention of energy users. Due to the randomness of PV power, the operation dispatch of the combined CCHP and PV system becomes even complicated. This paper proposes an optimization model for this system to achieve the minimization of the cost, by considering the seasonal change of the electric power and heating demands. An improved particle swarm optimization (PSO) is adopted in the optimization model to enhance effectiveness. The case study for an office building is also presented in this paper. And the results show more than 10% of the cost is saved.


Photovoltaic Combined cooling heating and power Optimization model Particle swarm optimization 


  1. 1.
    Dai, X.Y., Mao, D.J.: Operation optimization method of distributed system for combined cooling heating and power. J. Electric Power Sci. Technol. 32(1), 55–64 (2017). (in Chinese)Google Scholar
  2. 2.
    Hu, Y.F., Wu, J.Y., Li, S.: Optimal operation analysis of combined cooling heating and power system. J. North China Electric Power Univ. 37(1), 5–9 (2010). (in Chinese)Google Scholar
  3. 3.
    Chen, J., Yang, X., Zhu, L., et al.: Comparison of microgrid economic operation among different dispatch modes. Electric Power Auto. Equip. 33(8), 105–113 (2013). (in Chinese)Google Scholar
  4. 4.
    Jing, Y.Y., Bai, H., Zhang, J.L.: Muti-objective optimization design and operation strategy analysis of a solar combined cooling heating and power system. Proc. CSEE 32(20), 82–87 (2012). (in Chinese)Google Scholar
  5. 5.
    Liu, X.Y., Wu, H.B.: A control and operation optimization of combined cooling heating and power system considering solar comprehensive utilization. Auto. Electric Power Syst. 39(12), 1–6 (2015). (in Chinese)Google Scholar
  6. 6.
    Wang, F., Zhou, L., et al.: Optimized operation model for stand-alone CCHP microgrid. Appl. Sci. 7(754), 1–15 (2017)Google Scholar
  7. 7.
    Chen, P., Guan, L., et al.: An optimal planning method for combined cooling heating and power system. Energy Proc. 103, 123–128 (2016)Google Scholar
  8. 8.
    Yang, G., Zhai, X.Q.: Optimization and performance analysis of solar hybrid CCHP systems under different operation strategies. Appl. Therm. Eng. 133(25), 327–340 (2018)CrossRefGoogle Scholar
  9. 9.
    Lorestani, A., Ardehali, M.M.: Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm. Energy 145(15), 839–855 (2018)Google Scholar
  10. 10.
    Li, L., Xiao, X.N., Chen, P.W.: Improved photovoltaic model and its application in reliability evaluation of microgrid. Adv. Technol. Electrical Eng. Energy 35(11), 65–71 (2016). (in Chinese)Google Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Electrical EngineeringChongqing UniversityChongqingChina

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