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
82-87
,共6页
王韶%江卓翰%朱姜峰%王洋%董光德
王韶%江卓翰%硃薑峰%王洋%董光德
왕소%강탁한%주강봉%왕양%동광덕
配电网%状态估计%分布式电源%“虚拟”伪测量%奇异值分解
配電網%狀態估計%分佈式電源%“虛擬”偽測量%奇異值分解
배전망%상태고계%분포식전원%“허의”위측량%기이치분해
distribution network%state estimation%distributed generation%"virtual" pseudo measurement%singular value decomposition
为适应分布式电源接入量测配置较少配电网的需要,基于风电和光伏发电系统的功率预测,提出将分布式电源预测有功功率和“虚拟”无功功率作为伪测量建立带等式约束条件的加权最小二乘状态估计模型。模型中计及异步风力发电机的无功-电压特性对雅克比矩阵进行修正,利用光伏发电系统零无功注入等式约束修正估计结果。基于奇异值分解求解建立的模型以保证状态估计的数值稳定性。通过对IEEE33节点算例的仿真计算,结果表明所建的模型将分布式电源自身特性与加权最小二乘状态估计有效融合,能够更准确反映分布式电源出力状态,从而在不增加量测装置情况下提高了状态估计精度。
為適應分佈式電源接入量測配置較少配電網的需要,基于風電和光伏髮電繫統的功率預測,提齣將分佈式電源預測有功功率和“虛擬”無功功率作為偽測量建立帶等式約束條件的加權最小二乘狀態估計模型。模型中計及異步風力髮電機的無功-電壓特性對雅剋比矩陣進行脩正,利用光伏髮電繫統零無功註入等式約束脩正估計結果。基于奇異值分解求解建立的模型以保證狀態估計的數值穩定性。通過對IEEE33節點算例的倣真計算,結果錶明所建的模型將分佈式電源自身特性與加權最小二乘狀態估計有效融閤,能夠更準確反映分佈式電源齣力狀態,從而在不增加量測裝置情況下提高瞭狀態估計精度。
위괄응분포식전원접입량측배치교소배전망적수요,기우풍전화광복발전계통적공솔예측,제출장분포식전원예측유공공솔화“허의”무공공솔작위위측량건립대등식약속조건적가권최소이승상태고계모형。모형중계급이보풍력발전궤적무공-전압특성대아극비구진진행수정,이용광복발전계통령무공주입등식약속수정고계결과。기우기이치분해구해건립적모형이보증상태고계적수치은정성。통과대IEEE33절점산례적방진계산,결과표명소건적모형장분포식전원자신특성여가권최소이승상태고계유효융합,능구경준학반영분포식전원출력상태,종이재불증가량측장치정황하제고료상태고계정도。
In order to adapt to the requirement that distributed generations access distribution network with a small quantity of measuring equipment, based on the forecasting of wind power and photovoltaic generation, a weighted least squares state estimation model with constraint condition is proposed by regarding the distributed generations’ power forecasting result and"virtual"reactive power as pseudo measurement. In the model, Jacobian matrix is revised by the reactive-voltage characteristic of asynchronous wind turbine, the equality constraint of photovoltaic power generation system’s zero reactive injection is used to revise the result of state estimation. To ensure the state estimation’s numerical stability, singular value decomposition is used to solve the model. Simulation result of IEEE33 node example indicates that this model integrates distributed generations’ own characteristics with weighted least squares state estimation, which reflects the distributed generation’s output more accurately, and improves the precision of state estimation without addition of measuring installation.