The cumulative installed capacity of wind power worldwide has grown rapidly in recent years. Fixed reactive power control is adopted by wind turbines (WTs) to receive cycle instruction of wind farm (WF) automatic voltage control system (AVCS). It does not have active voltage regulation (AVR) capability, which reduces the reliability of power system operation. Firstly, two ways of WTs AVR which QV droop control and Vac control mode are introduced in this paper. On the basis, the problems of reactive power circulation and control points inconsistency during multi-WTs voltage regulation are discussed. The problems are solved by coordination of WTs of WF AVR strategy. WF voltage transient support capability is promoted by the strategy. Effectiveness is verified by simulation case of the proposed method.

With the increase of wind power capacity incorporated into the grid, the permeability of wind power increases continuously, which leads to the reduction of the equivalent inertia of the system. Rotor speed recovery will cause the secondary frequency dips when DFIG uses rotor inertial control to participate in system frequency modulation. In order to optimize the secondary frequency dips, this paper uses PSO (Particle Swarm Optimization) to optimize the Parameters of Variable Power Functions on the basis of the previously proposed variable power curve strategy. This article simulates this strategy through setting up a system by Simulink. Simulate the results of optimization, compared with the traditional recovery strategy, validity of the proposed strategy is demonstrated through simulation and analysis.

The met mast is an important equipment in the interconnected wind farm. The met mast can be used to monitor wind power, evaluate wind energy production and forecast short -term wind power. It is necessary to select the optimal site of a met mast because the site directly influences its representat iveness. This paper proposes a quantitative methodology to evaluate the site selection of the met mast in an interconnected wind farm with CFD (computational fluid dynamics) software. Alternative sites are obtained by the means of dividing meshes in the wind farm area so as to achieve the overall solution. The preliminary selection is implemented on the basis of some principles to establish met masts. After preliminary selection, the evaluation indexes of met mast's site selection are proposed to determine the optimal result. The index X, Y and Z are used to respectively select the optimal site to establish the wind power monitoring met mast, the wind energy production evaluation met mast and the short-term wind power forecast met mast. Combining the three indexes, the index A is obtained to determine the site of the met mast satisfying the three requirements at the same time in the interconnected wind farm. The example in case study shows that the methodology is effective.

Accurate wind power forecast is an important method for solving the utilization problem of new energy. Forecast evaluation results have been applied to the dynamic dispatch of power systems that utilize large-scale wind power. As the starting point in optimizing regional forecast evaluation, this study first gathered fully diverse power forecast evaluation indexes that are based on a traditional index. Second, a comprehensive evaluation method for regional wind power forecast was proposed using principal component analysis and the information entropy calculation method. Finally, the proposed method was used to evaluate the regional wind power forecast. The case study revealed comprehensive evaluations and increased scientific weight allocation. Results confirmed the correctness and rationality of the proposed method, which can serve as a reference for power systems.