高电压技术
高電壓技術
고전압기술
HIGH VOLTAGE ENGINEERING
2012年
4期
1006-1011
,共6页
胡伟%林涛%高玉喜%李继升%黄涌%徐遐龄
鬍偉%林濤%高玉喜%李繼升%黃湧%徐遐齡
호위%림도%고옥희%리계승%황용%서하령
强迫功率振荡%扰动源定位%能量函数%耗散功率%区域电网%广域测量系统
彊迫功率振盪%擾動源定位%能量函數%耗散功率%區域電網%廣域測量繫統
강박공솔진탕%우동원정위%능량함수%모산공솔%구역전망%엄역측량계통
forced power oscillation%disturbance source localization%energy function%power dissipation%regional power grid%wide area measure system(WAMS)
持续的周期性小扰动会引发电力系统强迫振荡,通过切除扰动原则可以使振荡迅速衰减。为了能够找到扰动源的具体位置,使振荡快速平息,对共振稳态时线性化系统能量转换特性进行了分析,结合实际电网扰动源自动定位存在的一些问题,对能量函数法进行了改进,提出了利用耗散功率进行扰动源识别的新方法。基于该方法,对4机2区系统、某实际大电网仿真模型以及广域测量系统(wide area measure system,WAMS)实测数据进行了仿真分析,结果表明利用耗散功率能够快速准确地确定强迫功率振荡扰动源的位置,说明了利用耗散功率进行扰动源识别方法的可行性以及对实际电网的适用性。
持續的週期性小擾動會引髮電力繫統彊迫振盪,通過切除擾動原則可以使振盪迅速衰減。為瞭能夠找到擾動源的具體位置,使振盪快速平息,對共振穩態時線性化繫統能量轉換特性進行瞭分析,結閤實際電網擾動源自動定位存在的一些問題,對能量函數法進行瞭改進,提齣瞭利用耗散功率進行擾動源識彆的新方法。基于該方法,對4機2區繫統、某實際大電網倣真模型以及廣域測量繫統(wide area measure system,WAMS)實測數據進行瞭倣真分析,結果錶明利用耗散功率能夠快速準確地確定彊迫功率振盪擾動源的位置,說明瞭利用耗散功率進行擾動源識彆方法的可行性以及對實際電網的適用性。
지속적주기성소우동회인발전력계통강박진탕,통과절제우동원칙가이사진탕신속쇠감。위료능구조도우동원적구체위치,사진탕쾌속평식,대공진은태시선성화계통능량전환특성진행료분석,결합실제전망우동원자동정위존재적일사문제,대능량함수법진행료개진,제출료이용모산공솔진행우동원식별적신방법。기우해방법,대4궤2구계통、모실제대전망방진모형이급엄역측량계통(wide area measure system,WAMS)실측수거진행료방진분석,결과표명이용모산공솔능구쾌속준학지학정강박공솔진탕우동원적위치,설명료이용모산공솔진행우동원식별방법적가행성이급대실제전망적괄용성。
The continuous cyclical small signal power disturbances could excite the power system forced power oscillation,and the removal of disturbance sources can attenuate the oscillation rapidly.In order to find the specific location of the disturbance source to make the oscillation die down quickly,we analyzed the energy conversion characteristics of the forced power oscillation in a linear system during the steady-state resonance.Considering the application of practical power system and program realization of automatic positioning,we improved the energy function,and proposed a new method of disturbance source localization by using power dissipation.The proposed method is proved to be effective by case study of two-area with four-machine system,simulation model of a regional power grid,and wide area measure system(WARMS) measure data of the regional power grid.