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Optimal scheduling of active distribution network considering symmetric heat and power source-load spatial-temporal characteristics

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  • Hao, Junhong
  • Feng, Xiaolong
  • Chen, Xiangru
  • Jin, Xilin
  • Wang, Xingce
  • Hao, Tong
  • Hong, Feng
  • Du, Xiaoze

Abstract

Distributed power sources and diversified loads flexibly and controllably interact in the active distribution network with symmetrical characteristics, and their spatial-temporal characteristics are significant in optimizing the grid configuration and enhancing the active regulation capability of the distribution network. This contribution proposes an active distribution network architecture that considers symmetrical source and load access and constructs an active distribution network optimization scheduling model by considering the constraints of photovoltaic, energy storage, electric heat pumps, fuel cells, micro-gas turbines, and other equipment. On this basis, the overall energy balance and heterogeneous energy transfer constraints are considered with the goal of minimizing the operation cost of the system. By introducing the IEEE-33 node model, including influences distribution power source and energy storage location, dynamic characteristic of heat pump, operational performance of fuel cell, and heat load variation on the active power and reactive power of active distribution network are analyzed. When the COP increases by 0.4, the day operating cost of the system equipment decreases by 14.5%. The simulation results show that considering the temporal and spatial distribution characteristics of the equipment can improve the active distribution network operation and scheduling, promote renewable energy accommodation, and enhance the economy and flexibility of the system.

Suggested Citation

  • Hao, Junhong & Feng, Xiaolong & Chen, Xiangru & Jin, Xilin & Wang, Xingce & Hao, Tong & Hong, Feng & Du, Xiaoze, 2024. "Optimal scheduling of active distribution network considering symmetric heat and power source-load spatial-temporal characteristics," Applied Energy, Elsevier, vol. 373(C).
    • Handle: RePEc:eee:appene:v:373:y:2024:i:c:s0306261924013576
    DOI: 10.1016/j.apenergy.2024.123974
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