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Volume 3 Issue 4
Oct.  2016

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2016  >  3(4): 385-393
Feng Zhao, Chenghui Zhang and Bo Sun, "Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power," IEEE/CAA J. Autom. Sinica, vol. 3, no. 4, pp. 385-393, Oct. 2016.
Citation: Feng Zhao, Chenghui Zhang and Bo Sun, "Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power," IEEE/CAA J. Autom. Sinica, vol. 3, no. 4, pp. 385-393, Oct. 2016.
shu

Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power

  • 1.

    School of Control Science and Engineering, Shan-dong University, Jinan 250061, China

  • 2.

    Shandong Computer Science Center(National Supercomputer Center in Jinan), Jinan 250061, China

  • 3.

    School of Control Science and Engineering, Shandong University, Jinan 250061, China

Funds:

This work was supported by Major International (Regional) Joint Research Project of the National Natural Science Foundation of China 61320106011

National High Technology Research and Development Program of China (863 Program) 2014AA052802

and National Natural Science Foundation of China 61573224

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    Abstract
  • This paper proposed an initiative optimization operation strategy and multi-objective energy management method for combined cooling heating and power (CCHP) with storage systems. Initially, the initiative optimization operation strategy of CCHP system in the cooling season, the heating season and the transition season was formulated. The energy management of CCHP system was optimized by the multi-objective optimization model with maximum daily energy efficiency, minimum daily carbon emissions and minimum daily operation cost based on the proposed initiative optimization operation strategy. Furthermore, the pareto optimal solution set was solved by using the niche particle swarm multi-objective optimization algorithm. Ultimately, the most satisfactory energy management scheme was obtained by using the technique for order preference by similarity to ideal solution(TOPSIS) method. A case study of CCHP system used in a hospital in the north of China validated the effectiveness of this method. The results showed that the satisfactory energy management scheme of CCHP system was obtained based on this initiative optimization operation strategy and multi-objective energy management method. The CCHP system has achieved better energy efficiency, environmental protection and economic benefits.

     

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