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Collaborative Optimized Operation Model of Multi-Character Distribution Network Considering Multiple Uncertain Factors and Demand Response

Author

Listed:
  • Zifa Liu

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Jieyu Li

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Yunyang Liu

    (State Grid Beijing Electric Power Economic Technology Institute Co., Ltd., Beijing 100055, China)

  • Puyang Yu

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Junteng Shao

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

As many new devices and factors, such as renewable energy sources, energy storage (ESs), electric vehicles (EVs), and demand response (DR), flood into the distribution network, the characteristics of the distribution network are becoming complicated and diversified. In this study, a two-layer collaborative optimized operation model for the multi-character distribution network considering multiple uncertain factors is proposed to achieve optimal dispatching of ES and EV and obtain the optimal grid structure of the distribution network. Based on basic device models of distribution network, the upper layer distribution network reconfiguration (DNR) model is established and solved by the particle swarm optimization (PSO) based on the Pareto optimality and the Prim algorithm. Then, the lower layer optimal dispatching model of ES and EV is established and solved by the binary PSO. The upper layer model and the lower layer model are integrated to form the collaborative optimized operation model for the multi-character distribution network and solved by iterating the upper and lower layers continuously. A case study is conducted on the IEEE 33-bus system. The simulation results show that the total network loss and the voltage deviation are decreased by 15.66% and 15.52%, respectively, after optimal dispatching of ES and EV. The total network loss and the voltage deviation are decreased by 28.39% and 44.46%, respectively, after the DNR with distributed generation (DG) and EV loads with little impact on the average reliability of the power supply. The total network loss and the voltage deviation are decreased by 26.54% and 27.04%, respectively, after the collaborative optimized operation of the multi-character distribution network. The collaborative optimized operation of the distribution network can effectively reduce the total cost by 114.45%, which makes the system change from paying to gaining.

Suggested Citation

  • Zifa Liu & Jieyu Li & Yunyang Liu & Puyang Yu & Junteng Shao, 2022. "Collaborative Optimized Operation Model of Multi-Character Distribution Network Considering Multiple Uncertain Factors and Demand Response," Energies, MDPI, vol. 15(12), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4244-:d:834905
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    References listed on IDEAS

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