Abstract

For offshore wind farms, the power loss caused by the wake effect is large due to the large capacity of the wind turbine. At the same time, the operating environment of the offshore wind farm is very harsh, and the cost of maintenance is higher than that of the onshore wind farm. Therefore, it is worthwhile to study through reasonable control how to reduce the wake loss of the wind farm and minimize the losses caused by the fault. In this paper, the Particle Swarm Optimization (PSO) algorithm is used to optimize the active power dispatch of wind farms under generator cooling system faults. The optimization objectives include avoiding the further deterioration of the generator fault, reducing unnecessary power loss of the faulty wind turbine, tracking the power demand from the Transmission System Operator (TSO), and reducing the power fluctuation caused by the PSO algorithm. The proposed optimal power dispatch strategy was compared with the two generally-used fault-handling methods and the proportional dispatch strategy in simulation. The result shows that the proposed strategy can improve the power generation capacity of the wind farm and achieve an efficient trade-off between power generation and fault protection.

Highlights

  • With the recent rapid development of wind energy, the form of wind energy has gradually developed from distributed onshore to centralized offshore

  • Since the content of this paper is the active power dispatch optimization of Wind Farms (WFs) and the dynamic process of Wind Turbine (WT) is not involved in the design, the static model is enough to illustrate the effect of the proposed strategy

  • Because this paper mainly studies the active power of the WF, only wind velocity deficit is considered here

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Summary

Introduction

With the recent rapid development of wind energy, the form of wind energy has gradually developed from distributed onshore to centralized offshore. Axial induction control achieves the control objectives by adjusting the Tip Speed Ratio (TSR) and the pitch angle of the WT blades It is not as effective at improving power as other methods. Compared with the way that the WF usually handles the faulty WT, this method avoids the fault deterioration caused by the unreasonable operation in the fault state, and reduces the power loss caused by direct shutdown.

Wind Farm Model
Wind Turbine Model
Wake Model
Wind Farm Layout
Generator Cooling System Fault
Optimal Power Dispatch with Fault Accommodation
Particle Swarm Optimization
Fault Accommodation and Optimization
Proportional Dispatch Strategy
Case Study
Case 1
Case 2
Case 3
Conclusions
Full Text
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