Showing papers by "Bing Zhang published in 1991"
TL;DR: Results suggest that, in addition to stimulating electroconductive transport, DBcAMP also activates a nonconductive bumetanide-sensitive transport system in Aedes Malpighian tubules.
Abstract: The effects of dibutyryl adenosine 3',5'-cyclic monophosphate (DBcAMP) and bumetanide (both 10(-4) M) on transepithelial Na+, K+, Cl-, and fluid secretion and on tubule electrophysiology were studi...
95 citations
TL;DR: The real-time operational experience of the RMEEI method in the northeast China power system is outlined and a set of linear recursive formulas, state variables, residuals, and their variances are updated after the removal of a measurement from a suspected data set to the remaining data set, or in the reverse direction.
Abstract: A fast and efficient algorithm, the recursive measurement error estimation identification (RMEEI) method, for bad data (BD) analysis is further developed. By using a set of linear recursive formulas, state variables, residuals, and their variances are updated after the removal of a measurement from a suspected data set to the remaining data set, or in the reverse direction. Neither a re-estimation nor a residual sensitivity matrix are needed in the identification process, which increases the computational speed greatly. Digital tests have been done to compare the RMEEI method with other conventional BD identification methods in terms of identification performance and computational speed. The real-time operational experience of the RMEEI method in the northeast China power system is outlined. >
40 citations
TL;DR: In this paper, a recursive measurement error estimation identification algorithm is proposed for identifying multiple interacting bad data in power system static state estimation, and a set of linearized formulae are developed and used to recursively calculate normalized residuals and normalized measurement error estimates.
Abstract: A recursive measurement error estimation identification algorithm is proposed for identifying multiple interacting bad data in power system static state estimation A set of linearized formulae are developed and used to recursively calculate normalized residuals and normalized measurement error estimates upon which the bad data identification method is based Sparse vector and partial factor modification techniques are used in the recursive identification calculations Neither the submatrix of the residual sensitivity matrix, W/sub ss/, nor state reestimation is needed in the whole identification process Digital tests on various power systems, including a 171 bus real system, are done to show the validity and efficiency of the proposed bad data identification method >
39 citations
05 Nov 1991
TL;DR: In this article, a state estimator has been real-time implemented in Northeast China power system control center and a novel and efficient bad data identification method, the recursive measurement error estimation identification algorithm, is presented and used in the estimator.
Abstract: A state estimator has been real-time implemented in Northeast China power system control centre. A novel and efficient bad data identification method, the recursive measurement error estimation identification algorithm, is presented and used in the estimator. The real-time operation experience is given.
2 citations