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
1期
190-196
,共7页
刘旭娜%肖先勇%徐方维%魏晓天%杨景岗
劉旭娜%肖先勇%徐方維%魏曉天%楊景崗
류욱나%초선용%서방유%위효천%양경강
电压暂降%非对偶性%不可加性%可信性测度%联合可信性分布%不确定性理论
電壓暫降%非對偶性%不可加性%可信性測度%聯閤可信性分佈%不確定性理論
전압잠강%비대우성%불가가성%가신성측도%연합가신성분포%불학정성이론
voltage sag%non-duality%non-additive%credibility measure%joint credibility distribution function%uncertainty theory
为准确刻画电压暂降对敏感设备的严重程度,从设备响应的物理属性出发提出了满足设备响应状态不可加性时评价暂降严重程度的可信性测度,弥补经典概率测度和模糊测度需要大量样本、具有非对偶性等问题.利用模糊统计和多项式拟合法构造设备响应状态不确定区域内各暂降特征对应的设备耐受能力隶属函数,基于不确定性理论得到联合可信性分布函数,以此建立设备电压暂降严重程度评估模型.以实测样本为依据,对个人计算机(personal computers,PC)进行仿真,并与经典概率测度和可能性测度评估结果进行比较,证明了可信性测度的正确性和可信性,评估结果更符合实际.
為準確刻畫電壓暫降對敏感設備的嚴重程度,從設備響應的物理屬性齣髮提齣瞭滿足設備響應狀態不可加性時評價暫降嚴重程度的可信性測度,瀰補經典概率測度和模糊測度需要大量樣本、具有非對偶性等問題.利用模糊統計和多項式擬閤法構造設備響應狀態不確定區域內各暫降特徵對應的設備耐受能力隸屬函數,基于不確定性理論得到聯閤可信性分佈函數,以此建立設備電壓暫降嚴重程度評估模型.以實測樣本為依據,對箇人計算機(personal computers,PC)進行倣真,併與經典概率測度和可能性測度評估結果進行比較,證明瞭可信性測度的正確性和可信性,評估結果更符閤實際.
위준학각화전압잠강대민감설비적엄중정도,종설비향응적물리속성출발제출료만족설비향응상태불가가성시평개잠강엄중정도적가신성측도,미보경전개솔측도화모호측도수요대량양본、구유비대우성등문제.이용모호통계화다항식의합법구조설비향응상태불학정구역내각잠강특정대응적설비내수능력대속함수,기우불학정성이론득도연합가신성분포함수,이차건립설비전압잠강엄중정도평고모형.이실측양본위의거,대개인계산궤(personal computers,PC)진행방진,병여경전개솔측도화가능성측도평고결과진행비교,증명료가신성측도적정학성화가신성,평고결과경부합실제.
In order to accurately describe the equipments’ severity caused by voltage sag, the credibility measure which meets the conditions of non-additive is proposed based on their physical properties of responses. This assessment measure can avoid the deficiencies that classical probability measure needs a large number of samples and the non-duality of fuzzy measure. The membership function of sensitive equipment voltage tolerance capability corresponding to the characteristic quantities in the status uncertain area is determined by fuzzy statistical method and polynomial fitting method. Then the joint credibility distribution function is deduced based on uncertainty theory. Hence, the assessment model of severity of equipments failure is constructed. Based on practical samples, the PCs are simulated using the proposed method. Comparing the simulation results with those of methods using classical probability measure and possibility measure, it proves that the proposed method is proper and credible and can reflect practical condition more objectively. This work is supported by National Natural Science Foundation of China (No. 50877049).