最大似然估计(论文+代码)_paper_GM_源码/资料下载-pudn.com

<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/62c53fa1a7803f6965b7711a/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/62c53fa1a7803f6965b7711a/bg1.jpg"><div class="c x0 y1 w2 h0"><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">Matlab Code of Robust Generalized Maximum-likelihood </div><div class="t m0 x2 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">Estimator for Power System State Estimator using Projection </div><div class="t m0 x3 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">Statistics </div><div class="t m0 x4 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">Junbo Zhao, Lamine Mili </div><div class="t m0 x5 h3 y6 ff1 fs1 fc0 sc0 ls0 ws0">Robust power system state estimator is of vital importance for monitoring and </div><div class="t m0 x5 h3 y7 ff1 fs1 fc0 sc0 ls0 ws0">control applications. Based on our experience, we find that the robust generalized </div><div class="t m0 x5 h3 y8 ff1 fs1 fc0 sc0 ls0 ws0">maximum-likelihood (GM)-estimator using projection statistics is one of the best </div><div class="t m0 x5 h3 y9 ff1 fs1 fc0 sc0 ls0 ws0">method in the literature. It is robust to multiple interacting and conforming bad </div><div class="t m0 x5 h3 ya ff1 fs1 fc0 sc1 ls0 ws0">data, bad leverage points, bad zero injections as well as some types of cyber attacks. </div><div class="t m0 x5 h3 yb ff1 fs1 fc0 sc0 ls0 ws0">In addition, its computing efficiency is high that makes it suitable for online </div><div class="t m0 x5 h3 yc ff1 fs1 fc0 sc1 ls0 ws0">applications. Besides the good breakdown point of the GM-estimator, it has a high </div><div class="t m0 x5 h3 yd ff1 fs1 fc0 sc1 ls0 ws0">statistical efficiency under Gaussian or other thick-tailed non-Gaussian </div><div class="t m0 x5 h3 ye ff1 fs1 fc0 sc1 ls0 ws0">measurement noise. The original version of the GM-estimator using SCADA </div><div class="t m0 x5 h3 yf ff1 fs1 fc0 sc0 ls0 ws0">measurements was proposed by Mili and his colleagues in 1996 [1]. </div><div class="t m0 x5 h3 y10 ff2 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h3 y11 ff1 fs1 fc0 sc0 ls0 ws0">Here, we would like to share the Matlab code of the GM-estimator to all researchers. </div><div class="t m0 x5 h3 y12 ff1 fs1 fc0 sc0 ls0 ws0">We also invite each of you to test the method and give us your feedback if you have </div><div class="t m0 x5 h3 y13 ff1 fs1 fc0 sc0 ls0 ws0">any. The code attached is to implement the GM-estimator proposed by Mili in [R1]. </div><div class="t m0 x5 h3 y14 ff1 fs1 fc0 sc0 ls0 ws0">The test systems include IEEE 14-bus, 30-bus and 118-bus systems. Only SCADA </div><div class="t m0 x5 h3 y15 ff1 fs1 fc0 sc0 ls0 ws0">measurements are included. We have included detailed comments of the code. </div><div class="t m0 x5 h3 y16 ff2 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h3 y17 ff1 fs1 fc0 sc1 ls0 ws0">When you use this code for your future research and publications, we would </div><div class="t m0 x5 h3 y18 ff1 fs1 fc0 sc1 ls0 ws0">appreciate if you cite the two papers [R1-R2]. Please let us know if you have any </div><div class="t m0 x5 h3 y19 ff1 fs1 fc0 sc0 ls0 ws0">problems in using this code. Your feedback and comments are highly appreciated. </div><div class="t m0 x5 h3 y1a ff2 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h3 y1b ff1 fs1 fc0 sc0 ls0 ws0">Best regards, </div><div class="t m0 x5 h3 y1c ff1 fs1 fc0 sc0 ls0 ws0">Junbo Zhao and Lamine Mili </div><div class="t m0 x5 h3 y1d ff2 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h3 y1e ff1 fs1 fc0 sc0 ls0 ws0">Email: zjunbo@vt.edu, lmili@vt.edu </div><div class="t m0 x5 h3 y1f ff1 fs1 fc0 sc0 ls0 ws0">Bradley Department of Electrical and Computer Engineering </div><div class="t m0 x5 h3 y20 ff1 fs1 fc0 sc0 ls0 ws0">Virginia Polytechnic Institute and State University </div><div class="t m0 x5 h3 y21 ff2 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x5 h3 y22 ff1 fs1 fc0 sc0 ls0 ws0">[R1] L. Mili, M. Cheniae, N. Vichare, and P. Rousseeuw, ``Robust state estimation </div><div class="t m0 x6 h3 y23 ff1 fs1 fc0 sc0 ls0 ws0">based on projection statistics," IEEE Trans. Power Syst, vol. 11, no. 2, pp. </div><div class="t m0 x6 h3 y24 ff1 fs1 fc0 sc0 ls0 ws0">1118--1127, 1996. </div><div class="t m0 x5 h3 y25 ff1 fs1 fc0 sc0 ls0 ws0">[R2] J. B. Zhao, M. Netto, L. Mili, "A robust iterated extended Kalman filter for </div><div class="t m0 x6 h3 y26 ff1 fs1 fc0 sc0 ls0 ws0">power system dynamic state estimation", IEEE Trans. on Power Systems, </div><div class="t m0 x6 h3 y27 ff1 fs1 fc0 sc0 ls0 ws0">DOI:10.1109/TPWRS.2016.2628344, in press. </div></div><a class="l" rel='nofollow' onclick='return false;'><div class="d m1"></div></a><a class="l" rel='nofollow' onclick='return false;'><div class="d m1"></div></a></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div> </body> </html>