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Coordinated Optimization of Active Distribution Network Based on Improved Analytical Target Cascading Method
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Ke-yan LIU1, Dong-li JIA1, Zhao LI1, Ya-huai YANG2, Wei-kang GU2, Zhong-dong YIN2, *
Science Technology and Engineering | 2025, 25(2) : 621 - 629
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Science Technology and Engineering | 2025, 25(2): 621-629
Papers·Electrical Technology
Coordinated Optimization of Active Distribution Network Based on Improved Analytical Target Cascading Method
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Ke-yan LIU1, Dong-li JIA1, Zhao LI1, Ya-huai YANG2, Wei-kang GU2, Zhong-dong YIN2, *
Affiliations
  • 1 China Electric Power Research Institute, Beijing 100192,China
  • 2 Beijing Keli Energy Technology, Beijing 102206,China
Published: 2025-01-18 doi: 10.12404/j.issn.1671-1815.2402185
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With the increasing penetration of distributed power sources in the distribution network, active distribution has become the mainstream direction of the power grid in the future. Microgrids and active stations that are slightly smaller than their scale will gradually increase. Whether these subsystems can be used as energy to schedule becomes the key to improving the economy and stability of power grid operation. Therefore, aiming at the overall optimal scheduling of microgrid and active station area with distributed power supply, a scheduling model solution method based on improved target cascade method was proposed, which mainly takes the optimal benefits generated by different stakeholders as the final scheduling target, and adopts the opportunity constraint description for the processing of uncertain factors of wind and solar. The upper layer is the distribution network and the optimal target of the distribution network, and the lower layer is the microgrid and active station area with the ability to participate in the scheduling. Based on the modeling of distribution network and microgrid, the improved target cascade method was introduced, and the interactive power was used as a shared variable to equivalent the generator and virtual load, so as to realize the decoupling and independent optimization of the upper and lower layers. The comparison of the experimental results shows that the target cascade method with the balance coefficient can obtain better results in the number of iterations, convergence performance, anti-interference performance and overall economic evaluation.

active distribution network  /  microgrid  /  analytical target cascading  /  active station area
Ke-yan LIU, Dong-li JIA, Zhao LI, Ya-huai YANG, Wei-kang GU, Zhong-dong YIN. Coordinated Optimization of Active Distribution Network Based on Improved Analytical Target Cascading Method[J]. Science Technology and Engineering, 2025 , 25 (2) : 621 -629 . DOI: 10.12404/j.issn.1671-1815.2402185
Year 2025 volume 25 Issue 2
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doi: 10.12404/j.issn.1671-1815.2402185
  • Receive Date:2024-03-27
  • Online Date:2025-12-05
  • Published:2025-01-18
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  • Received:2024-03-27
  • Revised:2024-11-05
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    1 China Electric Power Research Institute, Beijing 100192,China
    2 Beijing Keli Energy Technology, Beijing 102206,China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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