Widely linear least mean kurtosis-based frequency estimation of three-phase power system - Nefabas, Gebeyehu L; Zhao, Haiquan; Xia, Yili (IET generation, transmission & distribution, 2020)
Keywords: abnormal system conditions; Case Study; frequency estimation; kurtosis‐based algorithms; least mean squares methods; linear least mean kurtosis‐based frequency estimation; minimum mean square error‐based algorithms; noise signals; power system simulation; real‐world power system data; robust frequency estimation; second‐order statistical information; standard linear complex LMK; three‐phase power system signal; unbalanced system conditions; unbalanced systems; widely linear complex least mean kurtosis; widely linear least mean square; widely linear LMK estimation technique; WL‐LMK algorithm exhibits superior estimation performance; WL-LMK algorithm exhibits superior estimation performance; least mean squares methods; power system simulation; real-world power system data; widely linear complex least mean kurtosis; unbalanced systems; standard linear complex LMK; three-phase power system signal; kurtosis-based algorithms; frequency estimation; abnormal system conditions; second-order statistical information; widely linear least mean square; linear least mean kurtosis-based frequency estimation; robust frequency estimation; widely linear LMK estimation technique; noise signals; minimum mean square error-based algorithms; unbalanced system conditions