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Distributed optimal control of wind farms with deloading operation for load sharing

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  • Kong, Luming
  • Xiao, Feng
  • Yang, Haobo
  • Fang, Fang
  • Qin, Shiyao

Abstract

A distributed optimal control strategy is proposed for wind farms (WFs) consisting of large-scale wind turbines (WTs) with deloading operation. Rotor overspeed control (ROC) and pitch angle control (PAC) are coordinated to produce the active power required by the grid. The control strategy prioritizes the use of ROC while cutting down the reliance on PAC. For ROC, a leader–follower consensus-based algorithm is designed to fairly distribute the power load according to WTs’ capacities, and effectively reduce the communication burden. For PAC, a distributed optimization method is given to minimize the PAC utilization of WFs, and the optimization objective is solved by translating it into a consensus problem with a power equality constraint. When the active power supply and demand are unbalanced, the power mismatch is alleviated, and thus the power generation follows the power demand. This strategy not only enables WTs to generate the required active power fairly, but also reduces the fatigue load caused by PAC. Case studies verify the effectiveness of the proposed strategy on WFs consisting of reconstructed WTs.

Suggested Citation

  • Kong, Luming & Xiao, Feng & Yang, Haobo & Fang, Fang & Qin, Shiyao, 2025. "Distributed optimal control of wind farms with deloading operation for load sharing," Energy, Elsevier, vol. 339(C).
    • Handle: RePEc:eee:energy:v:339:y:2025:i:c:s0360544225046274
    DOI: 10.1016/j.energy.2025.138985
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