电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2015年
7期
65-69
,共5页
状态估计%最小二乘%层次分析法%权值
狀態估計%最小二乘%層次分析法%權值
상태고계%최소이승%층차분석법%권치
state estimation%weighted least squares%analytic hierarchy process%weights
针对电力系统状态估计中各种类型量测数据精度对状态估计结果有重要影响的问题,在基本加权最小二乘法估计的基础上,结合模糊综合评判与决策中的层次分析法(Analytic Hierarchy Process,AHP)讨论了一种改进权值确定方法的加权最小二乘法。它是将电力系统状态估计分解为量测值与估计值的差值平方最小(目标)、不同类型的量测值(准则)、各类型量测值相对精度的大小(方案)等层次,在此基础上进行定性和定量分析。通过IEEE 14-bus、IEEE 30-bus和IEEE 57-bus的标准算例进行仿真分析,证明层次分析法确定权值的加权最小二乘法能够有效地计算出电力系统的状态估计值。通过和基本加权最小二乘法进行比较,证明了该方法的优越性和实用性。
針對電力繫統狀態估計中各種類型量測數據精度對狀態估計結果有重要影響的問題,在基本加權最小二乘法估計的基礎上,結閤模糊綜閤評判與決策中的層次分析法(Analytic Hierarchy Process,AHP)討論瞭一種改進權值確定方法的加權最小二乘法。它是將電力繫統狀態估計分解為量測值與估計值的差值平方最小(目標)、不同類型的量測值(準則)、各類型量測值相對精度的大小(方案)等層次,在此基礎上進行定性和定量分析。通過IEEE 14-bus、IEEE 30-bus和IEEE 57-bus的標準算例進行倣真分析,證明層次分析法確定權值的加權最小二乘法能夠有效地計算齣電力繫統的狀態估計值。通過和基本加權最小二乘法進行比較,證明瞭該方法的優越性和實用性。
침대전력계통상태고계중각충류형량측수거정도대상태고계결과유중요영향적문제,재기본가권최소이승법고계적기출상,결합모호종합평판여결책중적층차분석법(Analytic Hierarchy Process,AHP)토론료일충개진권치학정방법적가권최소이승법。타시장전력계통상태고계분해위량측치여고계치적차치평방최소(목표)、불동류형적량측치(준칙)、각류형량측치상대정도적대소(방안)등층차,재차기출상진행정성화정량분석。통과IEEE 14-bus、IEEE 30-bus화IEEE 57-bus적표준산례진행방진분석,증명층차분석법학정권치적가권최소이승법능구유효지계산출전력계통적상태고계치。통과화기본가권최소이승법진행비교,증명료해방법적우월성화실용성。
In power system state estimation, the accuracy of different type measurements will excert a great impact on the state estimation results, and thus to determine the weight of the measurement is particularly important. Based on the weighted least squares method, this paper proposes a weighted least squares method that the weight of measurements is determined by the Analytic Hierarchy Process (AHP). The AHP method decomposes the power system state estimation into the minimum square of the difference between the measurements and estimated values(target), different types of measurement value (guideline) and relative accuracy of each type measurement (scheme), and based on which qualitative and quantitative analysis is conducted. Experimental results of IEEE 14-bus system show that using the proposed method the state estimation values of the power system can be estimated effectively. Through comparing the proposed method with basic weighted least squares method the effectiveness and applicability of the proposed algorithm are validated.