电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2013年
13期
64-70
,共7页
张龙跃%肖先勇%马超%冯岗%蒲守文
張龍躍%肖先勇%馬超%馮崗%蒲守文
장룡약%초선용%마초%풍강%포수문
触树故障%影响因素%潮流转移%触树时间与概率%定量预测
觸樹故障%影響因素%潮流轉移%觸樹時間與概率%定量預測
촉수고장%영향인소%조류전이%촉수시간여개솔%정량예측
tree-related fault%influencing factor%power flow transfer%contacting tree time and probability%quantitative prediction
潮流转移诱导的线路触树故障是造成电网连锁性事故的重要原因之一,预测线路触树故障时间和概率是防止系统灾变的关键。在综合考虑树木生长、环境条件、潮流变化,在提出各影响因素定量刻画方法的基础上,提出一种预测线路触树故障时间和概率的方法。结合环境因素的随机性和线路潮流变化量,用近似线性化算法确定线路的热时间常数,通过触树故障时间概率密度函数,预测触树故障期望时间和初始故障后任意时段内线路触树概率。仿真证明,触树时间与概率主要取决于稳态电流和所处环境,当潮流剧烈变化时,本方法可及时获得各层故障路径中线路发生触树故障的时间和概率,为调度人员及时采取安全措施提供了决策依据。
潮流轉移誘導的線路觸樹故障是造成電網連鎖性事故的重要原因之一,預測線路觸樹故障時間和概率是防止繫統災變的關鍵。在綜閤攷慮樹木生長、環境條件、潮流變化,在提齣各影響因素定量刻畫方法的基礎上,提齣一種預測線路觸樹故障時間和概率的方法。結閤環境因素的隨機性和線路潮流變化量,用近似線性化算法確定線路的熱時間常數,通過觸樹故障時間概率密度函數,預測觸樹故障期望時間和初始故障後任意時段內線路觸樹概率。倣真證明,觸樹時間與概率主要取決于穩態電流和所處環境,噹潮流劇烈變化時,本方法可及時穫得各層故障路徑中線路髮生觸樹故障的時間和概率,為調度人員及時採取安全措施提供瞭決策依據。
조류전이유도적선로촉수고장시조성전망련쇄성사고적중요원인지일,예측선로촉수고장시간화개솔시방지계통재변적관건。재종합고필수목생장、배경조건、조류변화,재제출각영향인소정량각화방법적기출상,제출일충예측선로촉수고장시간화개솔적방법。결합배경인소적수궤성화선로조류변화량,용근사선성화산법학정선로적열시간상수,통과촉수고장시간개솔밀도함수,예측촉수고장기망시간화초시고장후임의시단내선로촉수개솔。방진증명,촉수시간여개솔주요취결우은태전류화소처배경,당조류극렬변화시,본방법가급시획득각층고장로경중선로발생촉수고장적시간화개솔,위조도인원급시채취안전조시제공료결책의거。
Tree-related failure caused by large-scale power flow transferring is one of the most important causes of power grid catastrophic accident. Predicting the flashover time and probability after the later tripping is an important subject to prevent system blackouts. Considering dominant vegetation growth, circumstance and power flow transferring, quantitative depicting method for the influencing factors and prediction method of line fault probability and time are proposed. Combining the randomness of influencing factors and power flow, an approximate linearization method is used to determine line heat time factor. With the help of probability density function of line contacting tree, line contacting tree time and probability is predicted. Two cases simulation results show that the contacting time and probability mainly depend on line final steady state power and circumstance factors. When the line power flow is changing tempestuously, the proposed method can predict the tree-related fault time and probability in time. These results can provide reasonable decision-making for power system operators to prevent power system blackout.