基于动态谱线插值的新能源场站同步基准信号检测方法

在含高比例新能源的低惯量电力系统中,系统频率呈现基频偏移严重、频率变化快等特征,导致新能源场站在进行并网测试及支撑性能评估时,同步基准信号检测误差增大,进而可能威胁到系统的安全稳定运行。对此,提出基于动态双离散傅里叶变换类(discrete Fourier transformation,DFT)谱线插值的同步基准信号检测算法。通过分析低惯量电力系统受功率扰动后的频率动态响应,揭示系统中基频静动态特征,并在此基础上建立静动态电网信号分析模型。进而量化基频偏移场景下的传统DFT谐波检测算法误差,并说明谱线插值类DFT算法在动态基频场景下的失效机理。继而利用希尔波特黄变换(Hibert-Huang transform,HHT)算法识别动态基频,并结合双DFT谱线插值法修正基频及谐波信号幅值,提高检测精度。又为改善检测效率,增设算法选择判据。试验测试结果表明:所提的检测算法能够准确的测量出强动态电网信号中的基准量,提高对新能源场站同步支撑、电能质量等并网性能的评估精度,为新能源高占比电力系统的同步基准信号检测提供新的可选方案。

Blind cancellation for frequency offset in OFDM system based on MCMA-RLS algorithm

Modified constant modulus and recursive least squares （MCMA-RLS） algorithm is proposed to cancel interference caused by the variable frequency offset （FO） in the orthogonal frequency division multiplexing （OFDM） system. The MCMA-RLS algorithm is composed of two stages including MCMA scheme and RLS scheme. MCMA is selected to pre-cancel the variable frequency offset firstly, and then the residual interference has been canceled by the RLS scheme. BR error rate is simulated to demonstrate that the proposed method is robust for canceling the variable frequency offset.