Wind and light storage field station group inertia evaluation method based on ant colony algorithm

An ant colony algorithm and wind-solar-storage technology, applied in calculation, calculation model, photovoltaic power generation, etc., can solve the problems of poor robustness, inability to reflect wind-solar storage stations, and low precision, so as to reduce inaccurate measurement and improve system stability performance and reduce failover time

Pending Publication Date: 2022-02-25
CHINA THREE GORGES CORPORATION
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Problems solved by technology

[0006] To sum up, the existing inertia evaluation methods have problems such as large data demand, poor robustness, low accuracy under normal and small disturbance conditions, and inability to reflect the contribution of diversified virtual inertia resources of wind and solar storage stations to the system inertia, etc.

Method used

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  • Wind and light storage field station group inertia evaluation method based on ant colony algorithm
  • Wind and light storage field station group inertia evaluation method based on ant colony algorithm
  • Wind and light storage field station group inertia evaluation method based on ant colony algorithm

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Embodiment Construction

[0037] Such as figure 1As shown, a method for evaluating the inertia of wind-solar storage station groups based on ant colony algorithm. This method optimizes the evaluation points of the power system inertia of wind-solar storage station groups through the ant colony optimization algorithm, and optimizes the diversified virtual environment of wind-solar storage stations. The contribution of inertia resources to system inertia solves the problems of large data demand, poor robustness, and low accuracy under normal and small disturbance states in existing inertia evaluation methods. The specific process steps are as figure 1 Shown:

[0038] The evaluation method of station group inertia of wind and solar storage based on ant colony algorithm includes the following steps:

[0039] Step 1: Use the PMU measured data to extract the dynamic behavior data information of the power grid in each regional node of the wind-solar-storage station group;

[0040] Step 2: Online evaluation...

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Abstract

The invention discloses a wind and light storage field station group inertia evaluation method based on an ant colony algorithm. The method comprises the following steps: 1, extracting power grid dynamic behavior data information in PMU measured data of each region node of a wind and light storage field station group; 2, evaluating the equivalent inertia Gj of each area node of the wind and light storage field station group on line; 3, constructing a target function related to the equivalent inertia of each region node by using the inertia optimal evaluation point; 4, solving a global optimal solution of the target function by using an ant colony optimization algorithm, thereby obtaining an inertia optimal evaluation point in the whole power network; 5, acquiring the frequency value of the optimal inertia evaluation point and the active power vacancy of the system to obtain the equivalent inertia of the whole wind and light storage field station group.

Description

technical field [0001] The invention relates to the technical field of new energy power systems, in particular to a method for evaluating the inertia of a wind-solar storage station group based on an ant colony algorithm. Background technique [0002] Due to the mutual decoupling of the asynchronous power supply and the grid frequency, it cannot actively provide inertia support for the system under active power disturbances, which will lead to a decrease in the inertia level of the power system, and deteriorate the system's anti-disturbance capability and stability characteristics. In order to analyze and improve the operating characteristics of the system from regional and overall perspectives, it is necessary to evaluate the inertia of the wind-solar-storage station group after it is connected to the power system. Synchronized phasor measurement units (PMUs) are widely used in power systems, allowing operators to grasp the operating status of the power system in real time....

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N3/00H02J3/28H02J3/38
CPCG06Q10/0639G06Q50/06G06N3/006H02J3/381H02J3/28H02J2300/24H02J2300/28Y02E10/56Y02E40/70Y04S10/50
Inventor 邹祖冰吴海飞刘瑞阔谷昱君姚维为李乐颖
Owner CHINA THREE GORGES CORPORATION
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