电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
6期
49-54
,共6页
张婷%翟明玉%张海滨%齐苗苗%龚成明%李雷
張婷%翟明玉%張海濱%齊苗苗%龔成明%李雷
장정%적명옥%장해빈%제묘묘%공성명%리뢰
状态估计%不确定性推理%智能变电站%拓扑错误辨识%多源冗余数据
狀態估計%不確定性推理%智能變電站%拓撲錯誤辨識%多源冗餘數據
상태고계%불학정성추리%지능변전참%탁복착오변식%다원용여수거
state estimation%uncertainty reasoning%smart substation%topology error identification%redundant multi-source measurements
采用基于确定因子的不确定性推理方法,文中提出一种变电站拓扑错误辨识方法。在规则法的基础上,根据规则采用的数据类型和关系的不同,将规则分为四大类进行阐述。然后根据不确定性推理方法,对各类拓扑错误辨识规则建立了不精确模型,利用不确定性推理的传播算法和合成算法,计算出每个断路器和刀闸的综合可信度,从而判断断路器和刀闸的开合状态。该方法利用变电站内三相多源数据,冗余度高,提高了对刀闸的辨识能力,解决了规则冲突的问题。算例结果表明,该算法能够对多个不良数据和拓扑错误同时存在的情况进行有效辨识。
採用基于確定因子的不確定性推理方法,文中提齣一種變電站拓撲錯誤辨識方法。在規則法的基礎上,根據規則採用的數據類型和關繫的不同,將規則分為四大類進行闡述。然後根據不確定性推理方法,對各類拓撲錯誤辨識規則建立瞭不精確模型,利用不確定性推理的傳播算法和閤成算法,計算齣每箇斷路器和刀閘的綜閤可信度,從而判斷斷路器和刀閘的開閤狀態。該方法利用變電站內三相多源數據,冗餘度高,提高瞭對刀閘的辨識能力,解決瞭規則遲突的問題。算例結果錶明,該算法能夠對多箇不良數據和拓撲錯誤同時存在的情況進行有效辨識。
채용기우학정인자적불학정성추리방법,문중제출일충변전참탁복착오변식방법。재규칙법적기출상,근거규칙채용적수거류형화관계적불동,장규칙분위사대류진행천술。연후근거불학정성추리방법,대각류탁복착오변식규칙건립료불정학모형,이용불학정성추리적전파산법화합성산법,계산출매개단로기화도갑적종합가신도,종이판단단로기화도갑적개합상태。해방법이용변전참내삼상다원수거,용여도고,제고료대도갑적변식능력,해결료규칙충돌적문제。산례결과표명,해산법능구대다개불량수거화탁복착오동시존재적정황진행유효변식。
A substation topology error identification method based on uncertainty reasoning is proposed.Topology error identification rules are divided into four categories according to different data types and relationships used by each rule.An inaccurate model for each of the data in substation and topology error identification rules is developed.The integrated certainty factor value of each circuit breaker and switch is calculated by using the transfer algorithm and synthetic algorithm of uncertainty reasoning.The results are used to determine the status of each circuit breaker and switch.This substation topology error identification method has high redundancy using the three-phase multi-source data in substation and has improved the ability of identifying the switch status and solved the problem of conflicts between rules.Simulation for the multiple topology errors with multiple bad data has validated its effectiveness and high reliability.
<br> This work is supported by Jiangsu Economic and Information Technology Commission.