基于GNN和蒙特卡羅法的電力采購系統(tǒng)圍標串標行為辨識算法
打開文本圖片集
中圖分類號：TM73 文獻標志碼：B 文章編號：1671-5276(2025)03-0301-05
Identification Algorithm of Bidding Behavior in Power Procurement System Based on GNN and Monte Carlo Method
WU Yong，PAN Xiaohua，YANG Yijun，YE Xuefeng，LIU Fuquan（China Southern PowerGrid Digital Platform Technology（Guangdong）Co.，Ltd.，Shenzhen518102,China）
Abstract:Influenced bythe diversityof biddng methodsand thecomplexityofnoderelationshipin power procurement system, theidentificationaccuracyisusualldissatisfedduetoneglecting theconsiderationofbidingpaternregularitywhenidentifying thebehaviorofbiddingcolusion.Tosolvethisproblem，anidenticationalgorithmof bidding behaviorinpowerprocurement systembasedon GNNand Monte Carlomethodisproposed.The network diagram isconstructed bycombining theentityand cooperationrelationshipwithinthepowerprocurementsystem，andtheatentionmchanismaggregationfunction is introduced. The embedding layer isused to transform theembedded representationof node/edge feature vectors，capturing thestructural atribute informationintheoriginalpowerprocurementsystem.Astatevectorisassignedtoeachbidderandthestatetransition probabilityiscalculated.With MonteCarlomethod,thebid-winningbehaviorissimulatedthroughrandomsampling.Taking the bid price diffrence,，bid winingfrequencyandbidding modeasthekeycharacteristicsofbiddingcollsion，therisk indexis calculated，andcombinedwiththejudgmentresultofidentifcationreshold，theiddingcollusionbehaviorisidentifidfrom thepowerprocurementtransactioprocess，ndeidentificationaccuracyoftheproposedmethodistested.Thefinaltstrsuls showthatthelogarithmicloss functionvalueof theidentficationresultislowandtheidentificationaccuracyisobviouslyhigh. Keywords:electric power procurement；string bidding；behavior identification；bidding；GNNalgorithm；Monte Carlo method
0 引言
電力采購系統(tǒng)中，圍標串標行為往往具有隱蔽性、復雜性和動態(tài)性等特點，傳統(tǒng)的監(jiān)管手段難以有效應對。（剩余8617字）