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Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Author

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  • Bo Li

    (School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Panpan Zhang

    (School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Xiangjun Li

    (State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, Energy Storage and Electrical Engineering Department, China Electric Power Research Institute, Beijing 100192, China
    Contemporary Amperex Technology Limited (Qinghai), Xining 810021, Qinghai, China)

  • Shengxian Cao

    (School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

The economic dispatch problem (EDP) is a significant class of optimization issues in the power system, which works on minimizing the total cost when generating a certain amount of power. A novel distributed approach for EDP is proposed in this paper. The presented approach consists of two steps. The first step, named absorption search, is to simplify the network structure through absorption searching. A flooding-based consensus approach is applied in the first step, which can be used to achieve consensus information among nodes. After the first step, only the generation nodes are kept in the network. The data collection can be completed by local computation and communication between neighbors. The first step can be considered as the stage of gathering information. In the second step, a distributed half-search algorithm makes the nodes obtain the final optimal solution in a distributed way. The results on three case studies demonstrate that the proposed approach is highly effective for solving the EDP.

Suggested Citation

  • Bo Li & Panpan Zhang & Xiangjun Li & Shengxian Cao, 2019. "Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids," Energies, MDPI, vol. 12(8), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1527-:d:225171
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    References listed on IDEAS

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    1. Azizivahed, Ali & Narimani, Hossein & Fathi, Mehdi & Naderi, Ehsan & Safarpour, Hamid Reza & Narimani, Mohammad Rasoul, 2018. "Multi-objective dynamic distribution feeder reconfiguration in automated distribution systems," Energy, Elsevier, vol. 147(C), pages 896-914.
    2. Bo Li & Yudong Wang & Jian Li & Shengxian Cao, 2018. "A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid," Energies, MDPI, vol. 11(8), pages 1-21, August.
    3. Narimani, Hossein & Razavi, Seyed-Ehsan & Azizivahed, Ali & Naderi, Ehsan & Fathi, Mehdi & Ataei, Mohammad H. & Narimani, Mohammad Rasoul, 2018. "A multi-objective framework for multi-area economic emission dispatch," Energy, Elsevier, vol. 154(C), pages 126-142.
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    Cited by:

    1. Ke Jiang & Feng Wu & Xuanjun Zong & Linjun Shi & Keman Lin, 2019. "Distributed Dynamic Economic Dispatch of an Isolated AC/DC Hybrid Microgrid Based on a Finite-Step Consensus Algorithm," Energies, MDPI, vol. 12(24), pages 1-18, December.
    2. Taha Selim Ustun & S. M. Suhail Hussain, 2019. "Secure Communication Modeling for Microgrid Energy Management System: Development and Application," Energies, MDPI, vol. 13(1), pages 1-14, December.

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