CAJ | 학술논문

灵敏度是网络的一个重要指标,对网络的设计和分析都具有重要意义。当网络内部既有压控型元件又有流控型元件时,尚没有有效的统一的网络灵敏度表达式。基于特勒根定理,提出一种网络灵敏度分析的统一方法。该方法将网络内部的元件分成4类：以压控型支路的电压为自变量的元件按照其电压是否为其他受控源的控制量可分为2类;以流控型支路电流为自变量的元件按照其电流是否为其他受控源的控制量可分为2类。所生成的混合参数阵各子块可根据支路类型的交叠在一定范围内自由调整,对应原网络的电流控制电压源的电流和电压控制电流源的电压不参加运算,不需要算出,简化了计算过程。算例结果验证了该方法的有效性。该方法不受网络内部元件类型的制约,规范统一,灵活方便,有助于网络灵敏度分析的应用。
령민도시망락적일개중요지표,대망락적설계화분석도구유중요의의。당망락내부기유압공형원건우유류공형원건시,상몰유유효적통일적망락령민도표체식。기우특륵근정리,제출일충망락령민도분석적통일방법。해방법장망락내부적원건분성4류：이압공형지로적전압위자변량적원건안조기전압시부위기타수공원적공제량가분위2류;이류공형지로전류위자변량적원건안조기전류시부위기타수공원적공제량가분위2류。소생성적혼합삼수진각자괴가근거지로류형적교첩재일정범위내자유조정,대응원망락적전류공제전압원적전류화전압공제전류원적전압불삼가운산,불수요산출,간화료계산과정。산례결과험증료해방법적유효성。해방법불수망락내부원건류형적제약,규범통일,령활방편,유조우망락령민도분석적응용。
Sensitivity is an important indicator of the network,which is important to network design and analysis.There is no effective and general sensitivity expression for the case that there are the voltage-controlled components and current-controlled components in the power system network.Based on Tellegen Theorem,this paper presented a general method for network sensitivity analysis.The method divides the components within the network into four categories.The components whose independent variables are the voltage-controlled branch＇ voltages can be classified into two categories according to whether its voltage is the control quantity of other controlled sources.The components whose independent variables are the current-controlled branches＇ currents can be classified into two categories according to whether its current is the control quantity of other controlled sources.The sub-block arrays of generated hybrid parameter-array could be freely adjusted within a certain range according to the overlapping of branches＇ types.The controlled voltage sources＇ currents and the controlled current sources＇ voltages corresponding to the original network do not participate in operations,so they do not need to be calculated and this simplifies the calculation process.The example result verified the effectiveness of the method.The method is general,flexible and convenient.It can deal with networks with all types of components and be helpful to the application of network sensitivity analysis.