Method for tracking and judging frequency change of power grid

Abstract

The invention discloses a method for tracking and judging the frequency change of a power grid. The method comprises the following steps: collecting the display data of a power meter at the power generation side of the power grid in real time, and superposing to obtain the total power generation power; power meter display data on the power utilization loop where all the energy consumption devices are located in the power grid are collected in real time and superposed to obtain the total power utilization load; according to the total power generation power and the total power utilization load, a difference value P [sigma] difference of load power change is obtained according to the following formula; the difference value P [sigma] difference of the load power change is equal to total power P [sigma] power generation of power generation-total power utilization load P [sigma] power utilization; constructing a power grid frequency change prediction model according to the relationship between the total power utilization load P [sigma] power utilization and the difference P [sigma] difference of the load power change, and judging whether the load change rate frequency in the power grid frequency change prediction model fluctuates between + / -2Hz in a normal frequency range or not; stable operation of the power grid is maintained by adjusting the power generation power or the power utilization load of the power grid in advance; adjustment is made in advance according to the frequency prediction result, stable operation of a power grid is maintained, and the stability and reliability of a power system are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data analysis and monitoring of power grid frequency, and in particular relates to a method for tracking and judging power grid frequency changes. Background Art

[0002] In modern society, the power system has become an indispensable part of people's daily life and production activities. The stable operation of the power system is of great significance to ensure the normal operation of the social economy. The grid frequency is one of the important indicators of the operation status of the power system, which directly reflects the balance of power generation and power consumption in the power system. When there is a difference between the energy provided by the power generation side and the energy consumed by the load on the power consumption side, it will cause the change of the grid frequency. Therefore, monitoring and controlling the change of grid frequency is an important task in power system management.

[0003] Among existing technologies, the hardware-based direct frequency monitoring method is usually used. This method is to install a frequency monitoring device in the power system to monitor the changes in the power grid frequency in real time. When the power grid frequency is abnormal, the monitoring device will sound an alarm to remind the power system managers to take measures. In addition, there are some software-based data analysis methods that analyze the data in the power system to predict the change trend of the power grid frequency.

[0004] However, existing technologies still have some problems and limitations in monitoring and controlling changes in grid frequency. First, hardware-based frequency monitoring methods require the installation of a large number of monitoring devices, which not only increases costs but also increases the complexity of the system. Second, existing data analysis methods often rely on a large amount of historical data, which is not effective for real-time monitoring and prediction of grid frequency changes. In addition, existing technologies often have insufficient computing power when processing data in large-scale power systems, making it difficult to meet the requirements of real-time and accuracy. Therefore, how to develop an efficient and accurate method for monitoring and predicting grid frequency changes is an important issue facing the current field of power system management technology. Summary of the invention

[0005] In view of the technical problems existing in the prior art, the present invention provides a method for tracking and judging the changes in power grid frequency. This technical solution mainly solves the following technical problems: 1) Reducing hardware investment: This technical solution uses data analysis methods to avoid the need to install a large number of frequency monitoring devices in the power system, thereby reducing hardware investment, reducing costs, and simplifying system complexity. 2) Improving real-time and accuracy: This technical solution analyzes the data in the power system to monitor and predict the changes in power grid frequency in real time, which improves real-time and accuracy compared to existing data analysis methods. 3) Processing large-scale data: This technical solution adopts an efficient data processing algorithm, which can process data in large-scale power systems and meet the requirements of real-time and accuracy. 4) Predicting frequency changes in advance: This technical solution uses the formula α=P ∑用电 / 50, the specific value of the impact of changes in the enterprise power grid load on the frequency can be obtained, so as to predict the changes in frequency in advance, make adjustments in advance, and maintain the stable operation of the power grid.

[0006] In order to solve the technical problems existing in the prior art, the present invention adopts the following technical solutions:

[0007] The power meter display data of the power grid generation side is collected in real time and superimposed to obtain the total power generation power, that is: P ∑发 electricity

[0008] Real-time collection of power meter display data on the power circuits where all energy-consuming devices in the power grid are located, superimposed to obtain the total power load P ∑用电

[0009] According to the total power generation and total power load, the difference P of load power change can be obtained by the following formula: ∑差；

[0010] The difference of load power change P ∑差 =Total power generated P ∑发电 -Total power load P ∑用电；

[0011] According to the total power load P ∑用电 The difference P between the load power change and ∑差 The relationship between is used to build a grid frequency change prediction model, namely:

[0012] α=P ∑用电 / 50,

[0013] Where: α is the load change rate when the frequency changes by 1 Hz, P ∑差 The minimum value is 0 and the maximum value is P ∑用电， P ∑差 The value is between 0 and P ∑用电 There is constant change between

[0014] When P ∑差 =0, the frequency is 50Hz, which is the rated frequency, and the frequency change difference is the minimum 0Hz;

[0015] When P ∑差 =P ∑用电 When , the frequency is 0Hz, and the frequency change difference is the maximum 50Hz;

[0016] After obtaining α, the load change rate when the frequency changes by 1Hz is obtained, so the load change rate can be calculated based on P ∑差 The size between α and 2 times of α is used to determine whether the load change rate frequency in the grid frequency change prediction model fluctuates between ±2Hz in the normal frequency range. If the above situation is not met, the grid power or power load is adjusted in advance to maintain the stable operation of the grid.

[0017] Beneficial Effects

[0018] 1. The present invention proposes a method for tracking and judging the change of power grid frequency. The method calculates the difference of load power change by real-time monitoring the change of power on the power generation side and the power on the load side, thereby obtaining the corresponding relationship between load change and frequency change. This method does not require the installation of a large number of monitoring devices, reduces costs, and simplifies system complexity.

[0019] 2. The method of the present invention can timely and accurately obtain information on power grid frequency changes through real-time monitoring and calculation. Compared with existing data analysis methods, the method of the present invention is more effective for real-time monitoring and prediction of power grid frequency changes.

[0020] 3. When processing data in a large-scale power system, the method of the present invention can meet the requirements of real-time and accuracy through real-time calculation and data analysis, overcoming the problem of insufficient computing power in the prior art when processing large-scale data.

[0021] 4. The formula of the present invention is α=P ∑用电 / 50, it can predict the frequency changes that will occur in advance, make adjustments in advance, maintain the stable operation of the power grid, and improve the stability and reliability of the power system.

[0022] 5. The method of the present invention mainly relates to the fields of “power system management technology”, “power grid frequency monitoring technology” and “data analysis technology”, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The invention discloses a method process for tracking and judging the change of power grid frequency. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1The present invention is described as follows:

[0025] The present invention provides a method for tracking and determining the change of power grid frequency, and the specific steps are as follows:

[0026] Step 1 101: Data collection. Collect relevant data in the power system in real time, including the power meter on the power supply side of the grid, the power meter on the generator side, the working meter on the photovoltaic or other new energy side, and the power meter display value on the power circuit of all energy-consuming equipment to obtain the total power consumption. Among them, the model of the power meter is DTSD1352, the accuracy is 0.2, and the measurement range is 0-5000kW.

[0027] Step 2 102: Data processing. The collected data is processed, including aggregation, superposition and other operations, to obtain the total power generation P ∑发电 And the total power load P ∑用电 , and calculate the difference P of load power change ∑差 During the data processing, Excel software was used for data aggregation and superposition operations.

[0028] Step 3 103: Frequency change prediction. According to the formula α=P ∑用电 / 50, calculate the load change rate α when the frequency changes by 1Hz, and obtain the specific value of the impact of the enterprise power grid load change on the frequency, so as to predict the changes in the frequency in advance. ∑用电 The unit of power is kW and the unit of frequency change is Hz.

[0029] Step 4 104: Frequency adjustment. According to the prediction results, if the frequency change is found to be beyond the normal range (48-52Hz), adjustments are made in advance, such as adjusting the power generation or power load, to maintain the stable operation of the power grid. For example, when the frequency is predicted to drop to 47Hz, the frequency stability can be maintained by increasing the power generation or reducing the power load.

[0030] According to the actual operation situation, the data processing algorithm and frequency adjustment strategy are continuously optimized to improve the real-time performance and accuracy, process large-scale data, reduce hardware investment, reduce costs, and simplify system complexity. The above are the specific steps of this embodiment. Through these steps, the tracking and judgment of the power grid rate change can be realized, so as to predict the frequency change in advance, make adjustments in advance, and maintain the stable operation of the power grid.

[0031] For example, if the power load of a factory is 10,000 kW, it has a 3,000 kW garbage generator set, a 2,000 kW photovoltaic module generator set, a 4,500 kW waste heat generator set, and a 500 kW diesel generator set. The rated operating frequency of the factory power grid is 50 Hz.

[0032] From the above we can get the following values:

[0033] P ∑发电 :3000+2000+4500+500=10000kW

[0034] P ∑用电 :10000kW

[0035] P ∑差 :0~10000kW

[0036] α: 1Hz frequency change, corresponding load change rate = 10000 / 50 = 200kW / Hz

[0037] It can be seen that α = 200kW / Hz, in the case of ±2Hz change, it means that when the real-time collected P ∑差 =2α=±400kW, the grid frequency in the enterprise has reached the edge of stable operation, and the power generation or load power must be adjusted, which has made│P ∑差 │<400kW, and the closer to 0 the better. Otherwise the system frequency will exceed the operating limit, causing the grid to be disconnected or even stopped.

[0038] Due to the advanced nature of this technical solution, it can be widely used in application fields such as power system management, power grid frequency monitoring and data analysis. First, in the field of power system management, this technical solution provides an efficient and accurate power grid frequency change monitoring and prediction method, which can monitor and predict the changes in power grid frequency in real time, so as to predict the changes in frequency in advance, make adjustments in advance, and maintain the stable operation of the power grid. This is of great significance for ensuring the stable operation of the power system and improving the reliability and safety of the power system. Secondly, in the field of power grid frequency monitoring, this technical solution can timely discover the abnormal situation of power grid frequency by real-time monitoring of power grid frequency changes, so as to take measures in time to avoid further deterioration of power grid frequency. In addition, this technical solution can also analyze the data in the power system and predict the change trend of power grid frequency, so as to provide a scientific basis for the regulation of power grid frequency. Finally, in the field of data analysis, this technical solution can mine more useful information by collecting, processing and analyzing the data in the power system, so as to provide support for the management and decision-making of the power system. In addition, this technical solution can also be combined with other data analysis methods to further improve the accuracy and reliability of data analysis. In general, with the continuous expansion of the scale of power systems and the continuous increase in power demand, the monitoring and prediction of power grid frequency changes are becoming more and more important. This technical solution provides an efficient and accurate method for monitoring and predicting power grid frequency changes, which can meet the needs of power system management, power grid frequency monitoring, and data analysis, and has broad market prospects.

[0039] Although the present invention has been described above, the present invention is not limited to the above-mentioned specific embodiments. The above-mentioned specific embodiments are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can make many modifications without departing from the purpose of the present invention, which are all within the protection of the present invention.

Claims

1. A method for tracking and determining changes in power grid frequency, characterized in that: The method adjusts the stability of the power grid based on the power grid frequency change prediction model, comprising the following steps: The power meter display data of the power grid generation side is collected in real time and superimposed to obtain the total power generation, that is: P∑ power generation Real-time collection of power meter display data on the power circuits where all energy-consuming devices in the power grid are located, superimposed to obtain the total power load P ∑用电 According to the total power generation and total power load, the difference P∑ of load power change is obtained according to the following formula: 差； The difference of load power change P ∑差 =Total power generated P ∑发电 -Total power load P ∑用电； According to the total power load P ∑用电 The difference P between the load power change and ∑差 The relationship between is used to build a grid frequency change prediction model, namely: α＝P ∑用电 / 50， Where: α is the frequency change, P ∑差 The minimum value is 0 and the maximum value is P ∑用电， P ∑差 The value is between 0 and P ∑用电 There is constant change between When P ∑差 =0, the frequency is 50Hz, which is the rated frequency, and the frequency change difference is the minimum 0Hz; When P ∑差 =P ∑用电 When , the frequency is 0Hz, and the frequency change difference is the maximum 50Hz; After obtaining α, the load change rate when the frequency changes by 1Hz is obtained, so the load change rate can be calculated based on P ∑差 The size between α and 2 times of α is used to determine whether the load change rate frequency in the grid frequency change prediction model fluctuates between ±2Hz in the normal frequency range. If the above situation is not met, the grid power or power load is adjusted in advance to maintain the stable operation of the grid.

Images