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Mixing-quadratic-programming-form electrical power system synthesis state estimation method

A power system, quadratic programming technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as low computational efficiency, lack of comprehensive state estimation methods for power systems, and poor solutions, and achieve high solution efficiency. Effect

Inactive Publication Date: 2014-02-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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AI Technical Summary

Problems solved by technology

Foreign scholars have proposed a comprehensive state estimation method that can simultaneously identify bad data, topology errors, and parameter errors, but its computational efficiency is low and it has no practical value.
Therefore, so far, there is still a lack of efficient methods for implementing integrated state estimation of power systems

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Embodiment Construction

[0020] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0021] As we all know, only when the network topology, parameters and measurement data are correct, the state estimation can get correct results. Therefore, while estimating the state vector of the power system, bad data identification, topology error identification and parameter estimation must be performed at the same time, that is, comprehensive state estimation is the only way to state estimation. Not only that, the comprehensive state estimation should also have high computational efficiency to ensure online application. Fo...

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Abstract

The invention discloses a mixing-quadratic-programming-form electrical power system synthesis state estimation method which can comprises the following steps that a network model is formed, a node admittance matrix and a branch-node incidence matrix are computed; a measurement vector and a state vector are converted, a middle measurement vector and a middle state vector are obtained; based on the middle measurement vector and the middle state vector, a precision linearized measurement equation is formed; based on the obtained linearized measurement equation, a mixing-quadratic-programming-form electrical power system synthesis state estimation model is provided, then CPLEX software is used for solving, an estimation value of the middle state vector is obtained, bad data, topology errors and parameter errors are identified during the process; the obtained middle state vector is subjected to inverse transformation, and voltage amplitude values of all nodes and estimation values of phase angles are obtained. The method has the advantages of being accurate, reliable and high in solving efficiency.

Description

technical field [0001] The invention belongs to the field of power system scheduling automation, and in particular relates to a method for estimating the comprehensive state of a power system in the form of mixed-integer quadratic programming (MIQP). Background technique [0002] Power system state estimation is an essential basic software system for power grid dispatching center, and it is the guarantee for safe operation of power grid. Power system state estimation needs to obtain an optimal state vector (that is, state variables) based on telemetry data, switch and switch states given by remote signaling, and network parameter estimation, in order to achieve comprehensive, real-time and accurate perception of the power grid. [0003] For various reasons, telemetry data, telesignaling data, and network parameters always contain bad data, while existing state estimation methods often assume correct topology and parameters when estimating state vectors, and have the function...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 陈艳波刘锋梅生伟马进于普瑶
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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