应用切比雪夫多项式滤波的高渗透率光伏分布式控制策略

分布式控制只需要局部通信,在地域分散的光伏功率控制中具有良好的鲁棒性和灵活性。提出一种基于一致性算法的光伏分布式控制策略,各控制节点与相邻节点交换当前时刻光伏最大功率点和负荷信息,通过一致性算法迭代估计有功输出参考点。在此基础上,利用由二次插值方法得到的P-V曲线计算逆变器直流侧电压参考值。同时,为解决控制对象较多引起的一致性算法收敛速度慢的问题,使用切比雪夫滤波多项式对一致性算法进行滤波加速。该方法在不违背算法分布式特征的前提下,加快了收敛速度,并对变化的通信拓扑具有较好的鲁棒性能。最后,通过算例验证了所提方法的有效性。

Distributed Control Strategy for Photovoltaic Units with High Permeability Using Chebyshev Polynomials Filtering

Distributed control requires only local communication and has good robustness and flexibility in the power control of the dispersed photovoltaic units. A distributed control strategy based on the discrete consensus algorithm, in which the upper layer strategy uses the consensus algorithm to optimize the output of photovoltaic to meet the total power demand and share the demand equally, while the lower layer strategy applies voltage-based control method whose reference point is obtained by quadratic interpolation. The convergence speed of proposed strategy will be slow when the number of photovoltaic curves becomes large. To improve the convergence speed, Chebyshev polynomials filtering is used in the consensus algorithm. The proposed polynomials filtering method is fully distributed and robust to the changing communication topology. A case study testifies to the effectiveness of the proposed distributed control strategy.