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Local mixed linear state estimation method based on stream calculation

A state estimation and flow computing technology, applied in the direction of AC network circuits, electrical components, information technology support systems, etc., can solve problems such as the inability to provide real-time state estimation results, improve real-time tracking performance, ensure stability and feasibility, The effect of improving efficiency

Active Publication Date: 2021-10-08
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] In order to solve the deficiencies in the prior art, the present invention provides a local hybrid linear state estimation method based on flow data, which is used to solve the problem that the current state estimation cannot provide real-time state estimation results

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  • Local mixed linear state estimation method based on stream calculation
  • Local mixed linear state estimation method based on stream calculation
  • Local mixed linear state estimation method based on stream calculation

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Embodiment Construction

[0122] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0123] The present invention proposes a local hybrid linear state estimation method based on flow computing, which specifically includes the following steps:

[0124] Step 1: Obtain the topology structure, network parameters and measurement data of the power system, where the measurement data includes RTU measurement data and PMU measurement data, and the RTU measurement data can be divided into RTU timing measurement data and RTU trigger quantity The measured data are as follows:

[0125] ① Obta...

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Abstract

The invention discloses a local mixed linear state estimation method based on stream computation, which comprises the following steps of firstly, providing a mixed linear state estimation algorithm, converting a nonlinear remote terminal unit (RTU) measurement equation into a linear measurement equation, and integrating with a linear synchronous phasor measurement unit (PMU) measurement equation for solving, and then, according to the triggering measurement position, carrying out rapid dynamic partitioning on the system, and dynamically dividing a periodically executed global state estimation problem into a real-time triggered and executed local state estimation problem. A test result of an IEEE standard system shows that due to the introduction of a mixed linear state estimation algorithm, the estimation precision and the calculation efficiency of the method provided by the invention are both higher than those of an existing state estimation algorithm, and the rapid dynamic partitioning based on triggering measurement well recognizes a system state change region, therefore, the method provided by the invention can provide a state estimation result at a millisecond-level frequency.

Description

technical field [0001] The invention relates to a local mixed linear state estimation method based on flow calculation, which belongs to the technical field of power system monitoring, analysis and control. Background technique [0002] State estimation is one of the core functions of the Energy Management System (EMS), and its task is to accurately estimate the complex voltages of all nodes in the entire network through the collected measurement values. In recent years, with the continuous expansion of the scale of the power system and the rapid penetration of renewable energy, the operation mode of the power system has become more complex and the state changes more frequently. In order to cope with these changes, the power system state estimation algorithm must also have higher estimation accuracy, calculation efficiency and execution frequency. Ensuring the accuracy and real-time performance of state data is the primary condition for ensuring the safe and economical oper...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/10H02J2203/20Y04S10/22Y02E40/70Y02E60/00
Inventor 孙康卫志农黄蔓云林予彰孙国强
Owner HOHAI UNIV
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