New energy regional precise load shedding method based on real-time measurement and uploading data

Abstract

The present application relates to the field of new energy regional precise load shedding, and particularly relates to a new energy regional precise load shedding method based on real-time measurement and uploading data. First, based on interruptible load power, the total regional cuttable load is calculated; based on the total regional cuttable load, real-time new energy output and new energy output fluctuation rate, the real-time load margin of the region is calculated; then, based on the calculated frequency deviation and the real-time load margin of each region, the total load shedding demand is calculated; based on the total load shedding demand, the total regional cuttable load and the real-time load margin, the allocated regional load shedding amount is obtained through a regional load optimization distribution algorithm; finally, based on the allocated regional load shedding amount, the load shedding task of each load control terminal is calculated. The technical problems of uneven distribution of regional load shedding amount, low efficiency, lagging response of frequency deviation and limitation of new energy output fluctuation on load shedding capacity are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy regional precise load shedding, and particularly relates to a new energy regional precise load shedding method based on real-time measurement and uploaded data. BACKGROUND

[0002] With the transformation of global energy structure, the penetration rate of new energy in the power system continues to rise, and the traditional centralized power generation mode dominated by thermal power is gradually changing to a distributed power generation mode dominated by renewable energy. In particular, in regional distribution networks, the proportion of new energy grid connection is increasing year by year, greatly improving the green and low-carbon properties of the power grid. However, the volatility, intermittency and uncertainty of new energy have brought great challenges to the safe and stable operation of the power grid. In order to cope with these challenges and achieve the balance between supply and demand and the regulation capacity of the power grid under the background of high proportion of new energy grid connection, precise load shedding technology has become a key means. The new energy regional precise load shedding method based on real-time measurement and uploaded data has become a key breakthrough to ensure the frequency safety and stable operation of the high-proportion renewable energy power system, which not only improves the load shedding efficiency and reduces the impact on the user side, but also supports flexible scheduling, intelligent control and resilience response in the construction of new-type power system, providing solid technical support for smart grid and energy transformation. SUMMARY

[0003] The present application provides a new energy regional precise load shedding method based on real-time measurement and uploaded data to solve the technical problems of uneven distribution and low efficiency of regional load shedding, lagging response of frequency deviation, and limitation of load shedding capacity by new energy output fluctuation.

[0004] The new energy regional precise load shedding method based on real-time measurement and uploaded data of the present application specifically includes the following technical solutions:

[0005] The new energy regional precise load shedding method based on real-time measurement and uploaded data includes the following steps:

[0006] S1. Based on the interruptible load power in the collected key operation data, the total interruptible load of the region is calculated; based on the total interruptible load of the region, the real-time output of new energy and the fluctuation rate of new energy output, the real-time load margin of the region is calculated;

[0007] S2. Compare the current high-proportion new energy power grid system frequency with the nominal frequency, calculate the frequency deviation; based on the frequency deviation and the real-time load margin of each region, dynamically calculate the total load shedding demand through the total load shedding demand calculation algorithm;

[0008] S3. Based on the total cut-load demand, the total interruptible load of the region, and the real-time load margin, the allocated regional cut-load amount is obtained through a regional load optimization distribution algorithm; based on the allocated regional cut-load amount, the cut-load task of each load control terminal is calculated.

[0009] Preferably, S1 specifically includes:

[0010] The key operation data collected by the load control terminal includes the interruptible load power of the region, the real-time output of new energy, and the fluctuation rate of new energy output; the total cut-load of the region is calculated by aggregating the interruptible load power of all load control terminals in the region.

[0011] Preferably, S1 specifically includes:

[0012] Based on the total cut-load of the region, the real-time output of new energy, and the fluctuation rate of new energy output, the real-time load margin is evaluated; the real-time output of new energy is multiplied by an influence coefficient, and combined with a fluctuation rate adjustment term to obtain the real-time load margin of the region.

[0013] Preferably, S2 specifically includes:

[0014] In the total cut-load demand calculation algorithm, the frequency response term and the margin correction term are added to generate the total cut-load demand.

[0015] Preferably, S2 specifically includes:

[0016] The frequency deviation is normalized to generate a proportion factor; the proportion factor is multiplied by the frequency-load adjustment sensitivity coefficient, and then multiplied by the nominal load power to form the frequency response term; the real-time load margin of each region is multiplied by the margin correction coefficient and summed to obtain the margin correction term.

[0017] Preferably, S3 specifically includes:

[0018] In the regional load optimization distribution algorithm, based on the overcut penalty term and the margin deviation term, an optimization objective function is constructed to solve the allocated regional cut-load amount that minimizes the total cost of allocating all regional cut-load amounts.

[0019] Preferably, S3 specifically includes:

[0020] The allocated regional cut-load amount is multiplied by the proportion of each load control terminal to obtain the cut-load task of each load control terminal.

[0021] Preferably, S3 specifically includes:

[0022] The proportion of the load control terminal is the proportion of the interruptible load capacity of each load control terminal to the total cut-load of the region.

[0023] The beneficial effects of the technical solutions of the present application are:

[0024] 1. By deploying load control terminals in each region of the high-proportion new energy power grid, collecting key operation data, and calculating the total available load shedding and real-time load margin of the region, the load shedding capacity of the region under new energy output fluctuation can be accurately quantified. The influence coefficient of new energy output and the fluctuation rate adjustment term are introduced to consider the instability of new energy output and reduce the deviation of load shedding amount allocation, thereby improving the stability and reliability of power grid operation.

[0025] 2. The frequency of the high-proportion new energy power grid system is collected in real time by the main station frequency monitoring device, the frequency deviation is calculated, and the real-time load margin of the region is combined to dynamically calculate the total load shedding demand through the frequency response term and the margin correction term, effectively preventing further deterioration of the frequency, ensuring the stability of the power grid frequency, and enhancing the anti-disturbance ability of the high-proportion new energy power grid.

[0026] 3. The control center station constructs an optimization objective function based on the over-shedding penalty term and the margin deviation term through regional load optimization allocation algorithm, comprehensively considers the importance, load shedding capacity and real-time load margin of the region, reasonably allocates the load shedding amount of each region, solves by using the interior point method, ensures that the allocation result meets the total load shedding demand, avoids excessive load shedding amount, protects key facilities, and at the same time, is close to the actual operation state of the region, improves the fairness and economy of the load shedding amount allocation of the region.

[0027] 4. Through the proportional allocation mechanism, according to the interruptible load capacity of each load control terminal, the regional load shedding task is decomposed to specific terminals, ensuring that the task allocation matches the actual capacity of the terminal, and the fine allocation method improves the execution efficiency of the load shedding task and reduces the risk of power grid operation caused by improper allocation. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 The flowchart of the new energy regional accurate load shedding method based on real-time measurement and uploading data according to the present application. DETAILED DESCRIPTION

[0029] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0031] The application provides a new energy regional precise load shedding method based on real-time measurement and uploaded data.

[0032] Referring to the drawings Figure 1 , which shows a flow chart of the new energy regional precise load shedding method based on real-time measurement and uploaded data provided by an embodiment of the application, the method comprises the following steps:

[0033] S1, based on the interruptible load power in the collected key operation data, calculate the total cuttable load of the region; based on the total cuttable load of the region, the real-time output of new energy and the new energy output fluctuation rate, calculate the real-time load margin of the region;

[0034] Deploy the load control terminal in each region of the high-proportion new energy power grid, which is responsible for collecting key operation data, including the interruptible load power of the region, the real-time output of new energy and the new energy output fluctuation rate. Among them, the load control terminal includes: the terminal of the industrial user side, such as the electric arc furnace of the steel plant, the large compressor of the chemical plant, etc.; the terminal of the commercial user side, such as the central air conditioning system of the large shopping mall, the lighting and elevator system of the office building, etc.; the terminal of the residential user side, such as the smart meter, the controllable socket, the distributed air conditioner controller, etc.

[0035] The load control terminal of each region uploads the collected key operation data to the control substation belonging to it;

[0036] The control substation aggregates the interruptible load power of all load control terminals in the region, calculates the total cuttable load of the region, reflects the overall load shedding potential of the region, and the calculation formula is:

[0037] ,

[0038] Among them, represents the total cuttable load of the i-th region at time t; represents the summation operation on the i-th region from the j-th to the k-th load control terminal, which accumulates the interruptible load capacity of all load control terminals; represents the total number of load control terminals of the i-th region; represents the i-th load control terminal in the i-th region at time t; ​​​​​​​​interruptible load power, i.e., interruptible load capability.

[0039] To quantify the actual load shedding capability of the region under new energy fluctuation, real-time load margin evaluation is performed based on the total load shedding capability of the region, real-time output of new energy, and fluctuation rate of new energy output, to obtain the real-time load margin of the region. When the real-time load margin is positive, it indicates that the region has surplus load shedding capability and can undertake more load shedding tasks; when the real-time load margin is negative, it indicates that the region is under load shedding pressure and needs to be protected in priority.

[0040] In a high-proportion new energy power grid, the real-time output of new energy directly determines the power supply capability of the region. By multiplying the real-time output of new energy by an influence coefficient and combining a fluctuation rate adjustment term, the comprehensive influence of the real-time output of new energy on the real-time load margin of the region is further quantified.

[0041] The fluctuation rate adjustment term is introduced to reflect the influence of the dynamic change of the real-time output of new energy on the load shedding capability of the region. In the operation of a high-proportion new energy power grid, the instability of the real-time output of new energy will cause rapid changes in power supply capability. By normalizing the fluctuation rate of the real-time output of new energy by the total load shedding capability, a normalized fluctuation rate index is obtained, ensuring that the calculation of the real-time load margin of regions of different scales is comparable. The normalized fluctuation rate index is multiplied by a fluctuation sensitivity coefficient to form an adjustment factor. The adjustment factor is added to a reference value with a value of 1 to form the fluctuation rate adjustment term, which dynamically adjusts the real-time load margin of the region. The fluctuation rate adjustment term quantifies the limitation of the instability of the real-time output of new energy on the load shedding capability of the region.

[0042] The calculation formula of the real-time load margin of the region is as follows:

[0043] ,

[0044] wherein, represents the real-time load margin of the i-th region at time t, which quantifies the load shedding capability of the region under the fluctuation of the real-time output of new energy. represents the real-time output of new energy of the i-th region at time t; represents the influence coefficient of the real-time output of new energy, which is used to adjust the influence degree of the real-time output of new energy on the real-time load margin and reflects the characteristics of different types of new energy, such as photovoltaic power generation and wind power generation. It is preset by the power grid planning department according to the type of new energy in the region and stored in the substation database. The value range is . ​​​​represents the fluctuation sensitivity coefficient, used to adjust the influence of new energy output fluctuation on real-time load margin, reflects the sensitivity of the region to new energy output fluctuation, is preset by the grid planning department according to the type of new energy in the region, and is stored in the substation database, the value range is ; represents the absolute value of the new energy output fluctuation rate of the th region at time ; represents the normalized fluctuation rate index, used to reflect the intensity of new energy output fluctuation rate relative to the load shedding capacity of the region; represents the adjustment factor; represents the fluctuation rate adjustment term.

[0045] By comprehensively considering the real-time output of new energy, the new energy output fluctuation rate and the total load shedding capacity of the region, the real-time load margin evaluation result of the region is closer to the actual operation state, and the deviation of load shedding amount allocation is reduced.

[0046] S2, compare the collected current high-proportion new energy grid system frequency with the nominal frequency, calculate the frequency deviation; based on the frequency deviation and the real-time load margin of each region, dynamically calculate the total load shedding demand through the total load shedding demand calculation algorithm;

[0047] The frequency of the current high-proportion new energy grid system is collected by the frequency monitoring equipment of the master station, such as the synchronous phasor measurement device PMU, and compared with the nominal frequency, and the frequency deviation is calculated, which reflects the operation state of the high-proportion new energy grid;

[0048] Based on the frequency deviation and the real-time load margin of each region, the total load shedding demand of the high-proportion new energy grid is dynamically calculated through the total load shedding demand calculation algorithm;

[0049] The total load shedding demand calculation algorithm introduces a frequency response term, which is used to quantify the direct influence of frequency deviation on total load shedding demand. The frequency response term is normalized by dividing the nominal frequency to generate a proportion factor, which is used to reflect the severity of frequency deviation. The proportion factor is multiplied by the frequency-load regulation sensitivity coefficient to adjust the amplification or reduction effect of frequency deviation on total load shedding demand, and is multiplied by the nominal load power to convert into actual power demand. The frequency response term reflects the load shedding demand caused by frequency drop, and the larger the value is, the more load needs to be cut off to restore frequency stability;

[0050] A margin correction term is introduced to supplement the frequency response term, considering the influence of regional real-time load margin on total load shedding demand. The master station obtains the real-time load margin from each regional control substation. If the real-time load margin of a region is negative, i.e., the load shedding capacity of the region is insufficient to cope with the fluctuation of new energy output, the region needs additional load shedding support. The negative values of the real-time load margins of all regions are weighted and summed, and the real-time load margin of each region is multiplied by a margin correction coefficient to control the contribution of insufficient real-time load margin to the total load shedding demand.

[0051] The frequency response term and the margin correction term are added to generate the total load shedding demand. The frequency response term provides a global demand benchmark based on frequency deviation, while the margin correction term fine-tunes according to the actual operating state of the region, ensuring that the total load shedding demand can quickly respond to frequency decline and adapt to regional differences.

[0052] The total load shedding demand calculation formula is as follows:

[0053] ,

[0054] Wherein, represents the total load shedding demand at time ; represents the frequency-load regulation sensitivity coefficient, which reflects the sensitivity of frequency deviation to total load shedding demand and adjusts the load shedding response intensity. It is preset by the grid planning department according to the grid scale and stored in the master station database, with a value range of ; represents the frequency deviation, defined as , which quantifies the degree of frequency deviation of high-proportion new energy grid system from the nominal frequency, triggering load shedding demand; represents the frequency of high-proportion new energy grid system at time ; represents the nominal frequency, determined by grid standards, such as 50 Hz for China's power grid; represents the proportion factor; represents the nominal load power, which serves as the benchmark for total load shedding demand and reflects the grid scale. It is preset from the historical operation data of the grid obtained from the master station database and stored in the master station database; represents the frequency response term; represents the summation operation for all regions, which accumulates the additional load shedding demand due to insufficient real-time load margin of each region; represents the margin correction coefficient of the th region, which adjusts the influence of insufficient real-time load margin on total load shedding demand and reflects the importance of the region. It is preset by the grid planning department and stored in the master station database, with a reference value of 0.1-1.0. represents the total number of regions, determined by the power grid zoning plan, stored in the master station database; represents the additional load shedding demand of the region when the real-time load margin of the region is negative, quantifies the additional load shedding demand of the region when the real-time load margin of the region is positive, and takes 0 when the real-time load margin of the region is positive; represents the total number of regions, determined by the power grid zoning plan, stored in the master station database; represents the margin correction term.

[0055] Based on the frequency deviation, the total load shedding demand is quickly quantified to prevent the frequency from further falling. Through the margin correction part, the influence of the fluctuation of new energy output of each region is comprehensively considered to ensure that the total load shedding demand fits the actual operating state.

[0056] S3, based on the total load shedding demand, the total available load shedding of the region, and the real-time load margin, the allocated regional load shedding amount is obtained through a regional load optimization distribution algorithm; based on the allocated regional load shedding amount, the load shedding task of each load control terminal is calculated.

[0057] The control center station receives the total load shedding demand issued by the master station, and at the same time, obtains the total available load shedding and the real-time load margin of each region from the control sub-stations of the regions;

[0058] The goal of the regional load optimization distribution algorithm is to determine the allocated load shedding amount of each region to ensure that the total load shedding demand is met while not exceeding the total available load shedding of each region.

[0059] An optimization objective function is constructed, including an over-shedding penalty term and a margin deviation term, aiming to minimize the total cost when allocating the load shedding amount of all regions;

[0060] The over-shedding penalty term considers the ratio of the allocated regional load shedding amount to the static priority coefficient and the total available load shedding, and is designed in a quadratic form to punish excessive load shedding amount. The higher the static priority coefficient, the greater the punishment, and the smaller the allocated regional load shedding amount, thereby protecting critical facilities;

[0061] The margin deviation term is used to measure the margin deviation between the allocated load shedding amount of the region and the real-time load margin. The greater the margin deviation, the higher the penalty. By introducing a margin deviation weight coefficient, the contribution of the margin deviation to the total cost is adjusted to encourage the allocated load shedding amount to be close to the real-time load margin of the region.

[0062] The formula expression of the optimization objective function is as follows:

[0063] ,

[0064] wherein, represents the minimum value of the variable set ; represents the summation of all regions; Indicates the allocation of the first The cost of shedding load in a region; This represents the total cost when allocating load shedding across all regions. The first allocation Load shedding in each region; The first allocation The square of the load shedding in each region represents the nonlinear penalty, used to increase the allocation of the first region. The cost of shedding load in a region increases rapidly, preventing over-shearing; Indicates the first The static priority coefficient for each region is used to reflect the importance of the region. It is preset by the power grid planning department after evaluation based on factors such as the critical load level, infrastructure importance, and power supply security level within the region. The reference value is 0.5-2.0. Indicates overcutting penalty items; Indicates the first The margin deviation weighting coefficient for each region is used to adjust the contribution of margin deviation to the optimization objective function, and encourages the allocated load shedding amount to be close to the real-time load margin of the region. It is preset by the power grid planning department and stored in the control center station database, with a reference value of 0.1-0.5. The first allocation The load shedding amount of the region and the first Each region in time The absolute value of the real-time load margin deviation is used to penalize situations where the allocated load shedding amount deviates from the real-time load margin of the region, ensuring reasonable allocation; This indicates the margin bias of normalization. This represents the margin deviation term.

[0065] The constraints for optimizing the objective function include: the sum of the load shedding amounts in all regions equals the total load shedding demand, i.e. Furthermore, the load shedding amount allocated to each region must not exceed the total shedding load of the region, nor can it be a negative value. This ensures that the allocation results meet the actual needs and physical limitations of a high-proportion renewable energy power grid system.

[0066] The regional load optimization allocation algorithm uses the existing interior-point method to solve the optimization objective function. Combining the objective function and constraints, it iteratively updates the load shedding amount of the allocated regions. In each iteration, the gradient of the objective function and the constraints are calculated, and the load shedding amount of each allocated region is adjusted until the constraints of the optimization objective function are met and the optimization objective function converges to its minimum value. When the change in the optimization objective function is less than a preset threshold, such as... When the maximum number of iterations is reached, the regional load optimization allocation algorithm stops and outputs the load shedding amount of the allocated region.

[0067] Based on the allocated regional load shedding capacity, load shedding tasks are distributed according to the proportion of each load control terminal. The proportion of each load control terminal represents the percentage of its interruptible load capacity to the total available load shedding capacity in the region. The allocated regional load shedding capacity is multiplied by the proportion of each load control terminal to obtain the load shedding task for each load control terminal, as expressed in the following formula:

[0068] ,

[0069] in, Indicates the first The first region Each load control terminal at time The load shearing amount, i.e., the first The first region Each load control terminal at time The load shedding task.

[0070] By using a proportional allocation mechanism, the regional load shedding tasks are decomposed according to the interruptible load capacity of the load control terminal, ensuring that the allocation of load shedding tasks matches the actual interruptible load capacity of the load control terminal.

[0071] In summary, a method for precise load shedding in new energy areas based on real-time measurement and uploaded data has been developed.

[0072] The order of the embodiments is for illustrative purposes only and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0073] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0074] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A new energy regional precise load shedding method based on real-time measurement and uploaded data, characterized in that, The method comprises the following steps: S1. Calculate the total interruptible load of the region based on the interruptible load power in the collected key operation data; calculate the real-time load margin of the region based on the total interruptible load of the region, the real-time output of new energy and the fluctuation rate of new energy output; S2. Compare the current high-proportion new-energy power grid system frequency collected with the nominal frequency to calculate the frequency deviation; based on the frequency deviation and the real-time load margin of each region, dynamically calculate the total load shedding demand through a total load shedding demand calculation algorithm; the total load shedding demand calculation algorithm generates a proportion factor by normalizing the frequency deviation, multiplies the proportion factor by the frequency-load regulation sensitivity coefficient, and then multiplies the nominal load power to form a frequency response term; introduce a margin correction coefficient, multiply the negative value of the real-time load margin of each region by the margin correction coefficient and sum them up to obtain a margin correction term; Add the frequency response term and the margin correction term to generate the total load shedding demand; S3. Based on the total load shedding demand, the total interruptible load of the region and the real-time load margin, obtain the distributed regional load shedding amount through a regional load optimization distribution algorithm; based on the distributed regional load shedding amount, calculate the load shedding task of each load control terminal. 2.The new energy regional precise load shedding method based on real-time measurement and uploading data according to claim 1, wherein, The S1 specifically comprises: The key operation data collected by the load control terminal includes the interruptible load power of the region, the real-time output of new energy and the fluctuation rate of new energy output; the interruptible load powers of all load control terminals in the region are aggregated to calculate the total interruptible load of the region. 3.The new energy regional precise load shedding method based on real-time measurement and uploading data according to claim 2, characterized in that, The S1 specifically comprises: Based on the total interruptible load of the region, the real-time output of new energy and the fluctuation rate of new energy output, evaluate the real-time load margin, multiply the real-time output of new energy by an influence coefficient, and combine the fluctuation rate adjustment term to obtain the real-time load margin of the region. 4.The new energy regional precise load shedding method based on real-time measurement and uploading data according to claim 1, characterized in that, The S3 specifically comprises: In the regional load optimization distribution algorithm, based on the over-shedding penalty term and the margin deviation term, construct an optimization objective function to solve the distributed regional load shedding amount that minimizes the total cost of distributing all regional load shedding amounts.

5. The method of claim 4, wherein the method is based on real-time measurement and uploading data of new energy regional precise load shedding. The S3 specifically comprises: Multiply the distributed regional load shedding amount by the proportion of each load control terminal to obtain the load shedding task of each load control terminal. 6.The new energy regional precise load shedding method based on real-time measurement and uploading data according to claim 5, characterized in that, The S3 specifically comprises: The proportion of the load control terminal is the proportion of the interruptible load capacity of each load control terminal to the total interruptible load of the region.

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