Electric power system state estimation method taking into account new energy time-space relevance

A spatiotemporal correlation, power system technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as inability to real-time, effective, and accurate state estimation, inability to reflect the dynamic characteristics of power grids, etc.
CN107069710AInactive Publication Date: 2017-08-18新疆电力建设调试所有限责任公司 +2
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
新疆电力建设调试所有限责任公司
Publication Date
2017-08-18
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to the technical field of electric power system operation and control technology and provides an electric power system state estimation method taking into account new energy time-space relevance. The method includes steps of 1, reading power grid information data; 2, performing system metering and configuration; 3, performing modeling based on time-space relevance according to new energy system state; 4, performing estimation on Phi 1 and Sk by adopting M groups of history state data; 5, performing state predication of k moment according to estimation values as in the description; 6, performing predication auxiliary state estimation; 7, sending a state estimation result of the k moment to a power grid control center. According to the invention, a defect that static state estimation cannot meet needs for randomness and volatility of new energy grid connection is made up and real time, effective and accurate state estimation on new energy grid connection is realized. Short time state predication accuracy is improved, final state estimation accuracy is improved, and dynamic feature of a power grid are reflected fully. Data support is provided for high level application related to the power system control center.
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Description

technical field

[0001] The invention relates to the technical field of power system operation and control technology, and relates to a power system state estimation method that takes into account the time-space correlation of new energy sources. Background technique

[0002] One of the important features of the smart grid is the large-scale grid-connected power generation of various new energy sources (wind energy, solar energy and other renewable energy sources). Taking Xinjiang Power Grid as an example, in recent years, Xinjiang Power Grid has entered a period of great-leap-forward development, and its installed capacity has maintained an annual growth rate of more than 20%. %, ranking first in the Northwest Power Grid. New energy power generation has the characteristics of randomness, volatility and intermittency, which will bring great uncertainty to the operation of the power grid. At the same time, the integration of new energy into the grid has changed the one-way p...

Claims

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