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Robustness state estimation method with large-scale wind power connection considered

A robust state estimation and state estimation technology, applied in the estimation field, can solve problems such as low practicability and inability to eliminate large-scale wind power residual pollution well.

Active Publication Date: 2014-11-26
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0005] At present, there are very few studies on state estimation considering the uncertainty of a large amount of wind power generation and intermittent power injection, and most of the current research on robust state estimation is theoretical research, which is extremely practical in actual power grids. Most of the error-resistant state estimation models are only suitable for small-scale power grids, deal with conventional bad data, and do not carry out refined bad data identification for wind power and other new energy measurements, and cannot well eliminate the problems caused by large-scale wind power access. The residual pollution problem of

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  • Robustness state estimation method with large-scale wind power connection considered
  • Robustness state estimation method with large-scale wind power connection considered
  • Robustness state estimation method with large-scale wind power connection considered

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Embodiment

[0180] Analyze the cross-section of the actual power grid connected to a large-scale wind power at a certain time, the measurement at the T connection of wind farm A, wind farm B, and wind farm C is zero (bad measurement data), and the reactive power measurement of wind farm B line is 0 (Bad measurement data), the measured active unbalance of 220kV and 35kV busbars of wind farm A is 0.20MW and 0.22MW respectively, the measured active unbalance of 220kV busbar of wind farm B is 0.21MW, and wind farm C is 0.1, 0.95MW , the inflow and outflow power imbalance of the T connection is -1.45, affected by the residual pollution of bad data measured at the T connection, the estimated results of wind farm A, wind farm B, and wind farm C are shown in Table 2. The local wiring methods of wind farms A, B, and C are as follows: Figure 4 shown.

[0181] Table 2

[0182]

[0183] If the bad data detection and identification threshold is set to 5, the bad data of the power measurement at ...

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Abstract

The invention provides a robustness state estimation method with large-scale wind power connection considered and particularly relates to a refined robustness least square state estimation calculation method. A weight function partition method of the IGG (Institute of Geodesy and Geophysics, Chinese Academy of Sciences) method is used for reference, a measurement type reference value is introduced into a weight function to conduct refined bad data distinguishing on wind power plant measurement, and meanwhile bad data reference factors are introduced in by using state estimation measurement pre-verifying information to solve the problem of bad data erroneous judgment caused by equipment parameters. According to the method, bad data weights in the state estimation calculation process can be dynamically adjusted, the problem of residual error pollution caused by the bad data weights is solved, and the state estimation precision of large-scale wind power connected into a power grid is improved.

Description

technical field [0001] The invention relates to an estimation method, in particular to a tolerance state estimation method considering large-scale wind power access. Background technique [0002] With the rapid development of the power system, in order to respond to the concept of a low-carbon world and protect the human living environment, a large number of new energy power generation is connected to the power system, including wind power, solar power, biogas power, tidal power and geothermal power, which greatly reduces coal resources. It has brought huge economic benefits to the society. In particular, the development of wind power generation is even more rapid. As a clean, safe and efficient energy source, wind energy has important positive significance in protecting the ecological environment, delaying global warming, and promoting sustainable development. It has become more and more popular in countries around the world. of strong attention. The grid-connected operat...

Claims

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Application Information

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IPC IPC(8): G01R31/00
Inventor 罗雅迪郭子明赵昆张浩李静张昊陈利杰阎博郎燕生王东升张印戚岳徐杰白洋邹昱窦成龙王淼
Owner STATE GRID CORP OF CHINA