Bilinear WLAV (weighted least absolute value) state estimation method with equality constraints considered
A technology of state estimation and equality constraints, applied in computing, design optimization/simulation, data processing applications, etc., can solve problems that have not been reported in the literature, and achieve reduced computing efficiency, reduced accuracy, and reduced power mismatch. Effect
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[0039] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:
[0040] Power system state estimation is a nonlinear optimization problem, and its measurement equation can be expressed as:
[0041] z=h(x)+ε
[0042] Where: z is the m-dimensional measurement vector; x is the n-dimensional state vector; h(x) is the m-dimensional nonlinear function; ε is the m-dimensional measurement error vector. n is the dimension of the state quantity, and m is the dimension of the quantity measurement.
[0043] Combined with the characteristics of the power system, the above nonlinear equation can be decomposed into:
[0044] z=Cy+ε
[0045] y'=f(y)
[0046] y'=Dx'+ε y′
[0047] x=t(x')
[0048] In the formula: y, y′, x′ are intermediate variables; f(y) and t(x′) are nonlinear functions; C and D are constant coefficient matrices; ε y′ is the error vector of the intermediate variable y′.
[0049] State estimator measurement includes no...
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