电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2011年
19期
12-17,67
,共7页
徐天奇%李琰%尹项根%游大海
徐天奇%李琰%尹項根%遊大海
서천기%리염%윤항근%유대해
数字化变电站%变电站自动化系统%可靠性%离散时间马尔可夫链
數字化變電站%變電站自動化繫統%可靠性%離散時間馬爾可伕鏈
수자화변전참%변전참자동화계통%가고성%리산시간마이가부련
digital substation%substation automation system%reliability%discrete-time Markov chain
对数字化变电站自动化系统(DSAS)的可靠性进行评估是其推广的必要前提。文中提出一种包括DSAS功能可靠性和系统可靠性的评估方法,该方法同时考虑了智能电子设备(IED)的软件、硬件和通信系统的可靠性以及通信时延这几个因素。使用以IED和交换机为顶点、通信链路为边的图来表示DsAS,并根据每个元素“工作”和“失效”两个状态,得出DSAS的所有状态;使用功能完整性和时延约束判据将这些状态划分为工作状态和失效状态,并将所有失效状态合并为一个状态;使用离散时间马尔可夫链对DSAS功能和系统的可靠性进行建模,推导了状态转移矩阵的计算方法及根据状态转移矩阵和初始状态计算平均失效前时间的方法。
對數字化變電站自動化繫統(DSAS)的可靠性進行評估是其推廣的必要前提。文中提齣一種包括DSAS功能可靠性和繫統可靠性的評估方法,該方法同時攷慮瞭智能電子設備(IED)的軟件、硬件和通信繫統的可靠性以及通信時延這幾箇因素。使用以IED和交換機為頂點、通信鏈路為邊的圖來錶示DsAS,併根據每箇元素“工作”和“失效”兩箇狀態,得齣DSAS的所有狀態;使用功能完整性和時延約束判據將這些狀態劃分為工作狀態和失效狀態,併將所有失效狀態閤併為一箇狀態;使用離散時間馬爾可伕鏈對DSAS功能和繫統的可靠性進行建模,推導瞭狀態轉移矩陣的計算方法及根據狀態轉移矩陣和初始狀態計算平均失效前時間的方法。
대수자화변전참자동화계통(DSAS)적가고성진행평고시기추엄적필요전제。문중제출일충포괄DSAS공능가고성화계통가고성적평고방법,해방법동시고필료지능전자설비(IED)적연건、경건화통신계통적가고성이급통신시연저궤개인소。사용이IED화교환궤위정점、통신련로위변적도래표시DsAS,병근거매개원소“공작”화“실효”량개상태,득출DSAS적소유상태;사용공능완정성화시연약속판거장저사상태화분위공작상태화실효상태,병장소유실효상태합병위일개상태;사용리산시간마이가부련대DSAS공능화계통적가고성진행건모,추도료상태전이구진적계산방법급근거상태전이구진화초시상태계산평균실효전시간적방법。
Reliability assessment of the digital substation automation system (DSAS) is an indispensable prerequisite for its large-scale application. An assessing method including functional reliability and system reliability evaluation of DSAS is pro- posed. This method takes into account the reliability of software and hardware of intelligent electronic devices (IEDs), commu- nication system reliability, and communication delays. The DSAS is presented as a graph in which the apexes stand for IEDs and switches, edges for communication links. According to the “work” and “failure” states of each element, all states of DSAS can be obtained. By means of functional integrity and delay constraints, the DSAS states can be derived and classified into two kinds, namely, “work” and “failure”, and all “failure” states can be merged into one state. Then the reliability of DSAS func- tions and system is modeled using the discrete-time Markov chain. In addition, t'he method of calculating the state transition matrix and that of calculating the time prior to mean failure are derived according to the state transition matrix and initial state.