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author:

Shi, S. (Shi, S..) [1] | Zou, Y. (Zou, Y..) [2] | Yao, Y. (Yao, Y..) [3] | Huang, Y. (Huang, Y..) [4] | Fang, M. (Fang, M..) [5] | Jin, T. (Jin, T..) [6]

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Scopus

Abstract:

Aiming at the problems of AC/DC hybrid distribution network node voltage instability, high rate of abandoned wind and photovoltaic power and high system operation and maintenance cost caused by source-load volatility, a low-carbon optimization operation method of AC/DC hybrid distribution network taking into account network reconfiguration and demand response is proposed. Firstly, a stepped carbon trading model for AC/DC hybrid distribution networks is established. Secondly, a low-carbon optimization operation model for AC/DC hybrid distribution networks is developed with the optimization objectives of system economy and low-carbon, taking into account the constraints of network reconfiguration, demand response, capacitor switching, ac⁃ cess to distributed power sources, and charging/discharging of energy storage. Then, the nonconvex distribution network optimization model is transformed into a mixed-integer convex planning model and solved by introducing intermediate variables and a second-order cone relaxation method. Finally, the proposed method is simulated and analyzed by the improved IEEE 33-node AC/DC hybrid distribution system, and the results show that the proposed method can significantly reduce the carbon emissions and the rate of wind and photovoltaic power abandonment generated by the system operation, and improve the system voltage stability and dispatch economy. © 2025 Editorial Department of Southern Power System Technology. All rights reserved.

Keyword:

demand response hybrid AC/DC distribution network network reconfiguration renewable energy consumption stepped carbon trading

Community:

  • [ 1 ] [Shi S.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Zou Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Yao Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Huang Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Fang M.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Jin T.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

Southern Power System Technology

ISSN: 1674-0629

Year: 2025

Issue: 3

Volume: 19

Page: 96-105

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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