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Coordinated Optimal Operation Method of the Regional Energy Internet

Author

Listed:
  • Rishang Long

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China)

  • Jian Liu

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071000, Hebei, China)

  • Chunliang Lu

    (State Grid Zhejiang Electric Power Company, Hangzhou 310007, Zhejiang, China)

  • Jiaqi Shi

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China)

  • Jianhua Zhang

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China)

Abstract

The development of the energy internet has become one of the key ways to solve the energy crisis. This paper studies the system architecture, energy flow characteristics and coordinated optimization method of the regional energy internet. Considering the heat-to-electric ratio of a combined cooling, heating and power unit, energy storage life and real-time electricity price, a double-layer optimal scheduling model is proposed, which includes economic and environmental benefit in the upper layer and energy efficiency in the lower layer. A particle swarm optimizer–individual variation ant colony optimization algorithm is used to solve the computational efficiency and accuracy. Through the calculation and simulation of the simulated system, the energy savings, level of environmental protection and economic optimal dispatching scheme are realized.

Suggested Citation

  • Rishang Long & Jian Liu & Chunliang Lu & Jiaqi Shi & Jianhua Zhang, 2017. "Coordinated Optimal Operation Method of the Regional Energy Internet," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:848-:d:99111
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    References listed on IDEAS

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    Cited by:

    1. Jicheng Liu & Dandan He, 2018. "Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    2. Byung Moo Lee, 2017. "Energy Efficiency Gain of Cellular Base Stations with Large-Scale Antenna Systems for Green Information and Communication Technology," Sustainability, MDPI, vol. 9(7), pages 1-18, June.

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