Regional power grid operation scheduling method, system and terminal based on SCUC

By obtaining multi-time scale timing load data and contact line constraints, switching power prediction and empowerment simulation are performed, and inputting it to the SCUC model, the problem of inaccurate grid operation decisions is solved, and the adaptability and stability of the grid to load fluctuations is improved. .

CN119171423APending Publication Date: 2024-12-20GUANGDONG POWER GRID CO LTD +1
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411238927.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-05
Publication Date
2024-12-20

AI Technical Summary

Technical Problem

It is difficult for the prior art to accurately evaluate and schedule grid operation decisions, especially when multiple time scales and connection line constraints are combined, the scheduling plan of generator sets cannot be effectively optimized, resulting in unstable grid operation.

Method used

By obtaining multi-time scale timing load data and contact line constraints, switching power prediction and empowerment simulation are performed, and input into the pre-constructed SCUC model to generate scientific and reasonable operation strategies and optimize the scheduling of the generator set.

Benefits of technology

It improves the power grid's ability to adapt to load fluctuations and changes, enhances the flexibility and stability of the power grid, reduces operating costs, and avoids instability or overload of the power grid.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119171423A_ABST
    Figure CN119171423A_ABST
Patent Text Reader

Abstract

The invention discloses an SCUC-based regional power grid operation scheduling method, system and terminal, and the method comprises the steps: carrying out the exchange power prediction of a to-be-scheduled regional power grid based on the tie line constraint and line transmission loss of the to-be-scheduled regional power grid, and obtaining the exchange power prediction value of the regional power grid; weighting the exchange power estimated value by using the exchange power weight value corresponding to each time point of the regional power grid to obtain an exchange power simulation value of the regional power grid at each time point; and inputting the multi-time-scale time sequence load data and the exchange power simulation value and the generation power simulation value of the regional power grid at each time point into an SCUC model, and enabling the SCUC model to output an operation strategy for scheduling a generator set of the regional power grid. According to the method, the data obtained through simulation of the real statistical data is used as the input of the SCUC model, and the scheduling plan of the generator set can be optimized under the condition that the real-time operation data of the regional power grid cannot be obtained.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the field of power grid dispatching optimization, and in particular to a regional power grid operation dispatching method, system and terminal based on SCUC. Background Art

[0002] The core of power operation mode scheduling is security-constrained unit commitment (SCUC), which aims to optimize the start-stop and power generation plan of generator sets in the power system under the premise of meeting various security constraints. In order to accurately and reliably implement SCUC, it is necessary to conduct a comprehensive analysis and prediction of the load and power generation of the power system.

[0003] At present, there is a lack of simulation analysis methods that comprehensively consider load, power generation and interconnection line constraints, making it difficult to accurately evaluate and dispatch power grid operation decisions, thereby ensuring safe and stable operation of the power grid. In addition, the existing methods cannot simulate the load conditions, exchange power and power generation of different regional power grids in continuous power trading cycles based on real statistical data, which makes it impossible to optimize the dispatch plan of generators based on real statistical data of the power grid, which has a negative impact on the operation of the power grid. Specifically, the existing load forecasting is mainly aimed at the short-term and medium-term, and it is difficult to cover the load characteristics of multiple time scales; the existing power generation data simulation is mainly based on historical operation data or physical parameters, which is difficult to fully reflect the actual dispatch of various types of generators; the existing interconnection line constraint simulation mainly focuses on steady-state and dynamic power flow analysis, and lacks a comprehensive analysis method that combines it with load and power generation data. Summary of the invention

[0004] The embodiments of the present invention provide a regional power grid operation scheduling method, system and terminal based on SCUC, which uses data obtained by simulating real statistical data as the input of the SCUC model, which helps to optimize the scheduling plan of the generator set when the real-time operation data of the power grid cannot be known, thereby ensuring the safe operation of the power grid.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a regional power grid operation scheduling method based on SCUC, including:

[0006] Obtain multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched;

[0007] Based on the tie line constraint and the line transmission loss of the regional power grid to be scheduled, performing exchange power prediction on the regional power grid to be scheduled to obtain an estimated exchange power value of the regional power grid to be scheduled;

[0008] Using the exchange power weight values ​​corresponding to the regional power grid to be scheduled at each time point, weighting the exchange power estimation values ​​of the regional power grid to be scheduled respectively, and obtaining the exchange power simulation values ​​of the regional power grid to be scheduled at each time point;

[0009] The multi-time-scale time series load data, as well as the exchange power simulation values ​​and the power generation simulation values ​​of the regional power grid to be scheduled at each time point, are input into a pre-built SCUC model so that the SCUC model outputs an operation strategy, and then the generator sets of the regional power grid to be scheduled are scheduled according to the operation strategy.

[0010] In the implementation of the embodiment of the present invention, multi-time scale time series load data and tie line constraints of the regional power grid to be scheduled are obtained, and then the line transmission loss factor is considered. Based on the tie line constraints and the line transmission loss of the regional power grid to be scheduled, the exchange power of the regional power grid to be scheduled is predicted to obtain the exchange power estimated value of the regional power grid to be scheduled. Then, the exchange power weight values ​​corresponding to the regional power grid to be scheduled at each time point are used to respectively weight the exchange power estimated value of the regional power grid to be scheduled, and the exchange power simulation value of the regional power grid to be scheduled at each time point is obtained. While realizing the exchange power simulation, the transmission loss of the power grid is reduced, and the economy and efficiency of the power grid operation are improved. Next, the multi-time scale time series load data, and the exchange power simulation value and the power generation power simulation value of the regional power grid to be scheduled at each time point are input into the pre-built SCUC model, so that the SCUC model can adaptively generate a more scientific and reasonable operation strategy based on the data obtained by simulating the real statistical data without being limited by the real-time operation data of the power grid. Finally, according to the operation strategy, the generator set of the regional power grid to be scheduled is dispatched, which can improve the adaptability of the power grid to load fluctuations and changes, enhance the flexibility of the power grid system, and enable the power grid to better cope with emergencies and load changes.

[0011] As a preferred solution, based on the tie line constraint and the line transmission loss of the regional power grid to be scheduled, the exchange power of the regional power grid to be scheduled is predicted to obtain the estimated exchange power of the regional power grid to be scheduled, specifically:

[0012] According to the preset exchange power reference value algorithm, combined with the tie line constraint, the exchange power reference value of the regional power grid to be scheduled is calculated; wherein the tie line constraint includes the tie line safety factor and the tie line thermal stability margin, and the exchange power reference value algorithm is specifically:

[0013]

[0014] Where P 基准 Indicates the exchange power reference value of the regional power grid to be dispatched; P 额定Represents the rated power of the regional power grid to be dispatched; α 1 and α 2 Indicates the lower and upper limits of the tie line safety factor; β 1 and β 2 Indicates the lower and upper limits of the thermal stability margin of the tie line;

[0015] Based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain an estimated exchange power value of the regional power grid to be scheduled.

[0016] By implementing the preferred solution of the embodiment of the present invention, the exchange power reference value is calculated in combination with the tie line safety factor and the thermal stability margin, which can ensure that the calculated reference value is within a reasonable safety range, effectively prevent power grid overload or equipment damage caused by excessive exchange power, and help maintain the stability and safety of the system during power grid operation. In addition, by optimizing the reference value and the estimated value, the operation efficiency of the power grid can be improved, unnecessary power loss can be reduced, and thus the operation cost can be reduced, and the stable power reference value can also improve the stability of the power grid and avoid power grid instability or failure caused by power fluctuations.

[0017] As a preferred solution, based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain the exchange power estimated value of the regional power grid to be scheduled, specifically:

[0018] According to a preset loss algorithm, combined with the line length and line loss rate of the regional power grid to be scheduled, the line transmission loss of the regional power grid to be scheduled is calculated; wherein the preset loss algorithm is specifically:

[0019] δ=l*randbetween(γ 1 ,γ 2 );

[0020] In the formula, δ represents the line transmission loss of the regional power grid to be dispatched; l represents the line length of the regional power grid to be dispatched; γ 1 and γ 2 Indicates the lower limit and upper limit of the line loss rate of the regional power grid to be dispatched;

[0021] Based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain an estimated exchange power value of the regional power grid to be scheduled.

[0022] By implementing the preferred solution of the embodiment of the present invention, based on the length of the power grid line and the line loss rate, the transmission loss of the line can be calculated more accurately, ensuring that the prediction of the line loss in the power grid to be dispatched in the dispatching and operation process is closer to the actual situation. In addition, taking the line transmission loss into consideration and correcting the exchange power reference value can improve the accuracy of the exchange power estimation, help to more reasonably predict the power grid load and dispatching demand, and reduce the instability or overload of the power grid caused by inaccurate prediction.

[0023] As a preferred solution, the acquisition of multi-time scale time series load data of the regional power grid to be dispatched is specifically as follows:

[0024] By means of sensor equipment and monitoring equipment deployed in the power grid in the area to be dispatched, a first power load curve graph of the power grid in the area to be dispatched is collected in real time; wherein the first power load curve graph is composed of typical daily load data;

[0025] Preprocessing the first power load curve graph to obtain a corresponding second power load curve graph;

[0026] According to a preset time scale, multi-time scale extraction is performed on the second power load curve graph to obtain multi-time scale time series load data of the regional power grid to be dispatched.

[0027] In a preferred embodiment of the present invention, typical daily load data is based on statistics and analysis of historical load data, and a representative load change curve for one or several days is selected. Based on data that can reflect the load characteristics and change patterns of the power system on a typical day, multi-time scale time series load data for input into the SCUC model is analyzed to further optimize the operation strategy of the generator sets in the regional power grid to be dispatched.

[0028] As a preferred solution, the first power load curve graph is preprocessed to obtain the corresponding second power load curve graph, specifically:

[0029] grayscale the first power load curve diagram to obtain a corresponding grayscale image;

[0030] Applying a Gaussian blur filter to process the grayscale image, and based on the gradient of the processed grayscale image, detecting the edge of the processed grayscale image and marking a plurality of edge points;

[0031] All the edge points are fitted to obtain a corresponding second power load curve graph.

[0032] According to the preferred solution of the embodiment of the present invention, the first power load curve of the power grid in the dispatching area on a typical day is grayed to convert the color image into a gray image, thereby reducing the computational complexity. A Gaussian blur filter is applied to process the gray image to smooth the image and reduce noise. Based on the gradient of the processed gray image, the edge of the processed gray image is detected and multiple edge points are marked. Then, all edge points are fitted to obtain a smooth curve fitting result - the second power load curve, so as to facilitate further multi-time scale extraction.

[0033] As a preferred solution, the acquisition of the power generation simulation value is specifically as follows:

[0034] By means of sensor equipment and monitoring equipment deployed in the regional power grid to be dispatched, the total power generation of the regional power grid to be dispatched at various time points on a typical day and the monthly power generation data of the regional power grid to be dispatched are obtained; wherein the monthly power generation data of the regional power grid to be dispatched includes the power generation corresponding to several types of power generation of the regional power grid to be dispatched within one month;

[0035] Based on the monthly power generation data of the regional power grid to be dispatched, the corresponding proportions of various power generation types are obtained through analysis;

[0036] Based on the total power generation of the regional power grid to be dispatched at various time points on a typical day and the corresponding proportion of each type of power generation, the power generation simulation value corresponding to each type of power generation at various time points in the regional power grid to be dispatched is calculated.

[0037] By implementing the preferred solution of the embodiment of the present invention, monthly power generation data is analyzed to obtain the proportion of each type of power generation, which can clarify the actual contribution of each type of power generation resources in the power grid, help optimize resource allocation and adjust power generation strategies to improve the overall efficiency and economy of the power grid.

[0038] In order to solve the same technical problem, an embodiment of the present invention further provides a regional power grid operation dispatching system based on SCUC, including:

[0039] The first acquisition module is used to acquire multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched;

[0040] A power prediction module, configured to predict the exchange power of the regional power grid to be scheduled based on the tie line constraint and the line transmission loss of the regional power grid to be scheduled, and obtain an estimated exchange power value of the regional power grid to be scheduled;

[0041] A weighted simulation module is used to weight the exchange power estimated value of the regional power grid to be scheduled by using the exchange power weight value corresponding to the regional power grid to be scheduled at each time point, so as to obtain the exchange power simulation value of the regional power grid to be scheduled at each time point;

[0042] The operation scheduling module is used to input the multi-time-scale time-series load data, as well as the exchange power simulation value and the power generation power simulation value of the regional power grid to be scheduled at each time point into a pre-built SCUC model, so that the SCUC model outputs an operation strategy, and then schedules the generator sets of the regional power grid to be scheduled according to the operation strategy.

[0043] As a preferred solution, the power prediction module specifically includes:

[0044] A computing unit is used to calculate the exchange power reference value of the regional power grid to be scheduled according to a preset exchange power reference value algorithm and in combination with the tie line constraint; wherein the tie line constraint includes a tie line safety factor and a tie line thermal stability margin, and the exchange power reference value algorithm is specifically:

[0045]

[0046] Where P 基准 Indicates the exchange power reference value of the regional power grid to be dispatched; P 额定 Represents the rated power of the regional power grid to be dispatched; α 1 and α 2 Indicates the lower and upper limits of the tie line safety factor; β 1 and β 2 Indicates the lower and upper limits of the thermal stability margin of the tie line;

[0047] The correction unit is used to correct the exchange power reference value of the regional power grid to be scheduled based on the line transmission loss of the regional power grid to be scheduled, so as to obtain the exchange power estimated value of the regional power grid to be scheduled.

[0048] As a preferred solution, the SCUC-based regional power grid operation and dispatching system further includes:

[0049] The second acquisition module is used to obtain the total power generation of the regional power grid to be dispatched at various time points on a typical day and the monthly power generation data of the regional power grid to be dispatched through the sensor equipment and monitoring equipment deployed in the regional power grid to be dispatched; wherein the monthly power generation data of the regional power grid to be dispatched includes the power generation corresponding to several types of power generation types of the regional power grid to be dispatched within one month; based on the monthly power generation data of the regional power grid to be dispatched, the corresponding proportion of each type of power generation is analyzed; based on the total power generation of the regional power grid to be dispatched at various time points on a typical day and the corresponding proportion of each type of power generation, the power generation simulation value corresponding to each type of power generation type of the regional power grid to be dispatched at each time point is calculated.

[0050] In order to solve the same technical problem, the present invention also provides a terminal, including a processor, a memory and a computer program stored in the memory; wherein the computer program can be executed by the processor to implement the regional power grid operation scheduling method based on SCUC. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 : A flow chart of a regional power grid operation dispatching method based on SCUC provided in Embodiment 1 of the present invention;

[0052] Figure 2 : A structural diagram of a regional power grid operation and dispatching system based on SCUC provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment one:

[0055] Please refer to Figure 1 , a regional power grid operation dispatching method based on SCUC is provided in an embodiment of the present invention, the method comprises steps S1 to S4, each step is specifically as follows:

[0056] Step S1, obtaining multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched.

[0057] As a preferred solution, step S1 includes steps S11 to S14, and each step is specifically as follows:

[0058] Step S11, collecting a first power load curve graph of the power grid in the area to be dispatched in real time by means of sensor equipment and monitoring equipment deployed in the power grid in the area to be dispatched.

[0059] Among them, the first power load curve diagram is composed of typical daily load data.

[0060] Step S12, preprocessing the first power load curve graph to obtain a corresponding second power load curve graph.

[0061] As a preferred solution, step S12 includes step S121 to step S123, and each step is specifically as follows:

[0062] Step S121: grayscale the first power load curve graph through Grayscale Conversion to obtain a corresponding grayscale image.

[0063] Step S122, applying a Gaussian blur filter to process the grayscale image to smooth the image and reduce noise, and calculating the gradient of the processed grayscale image through a Sobel Operator, and based on the gradient of the processed grayscale image, detecting the edge of the processed grayscale image and marking multiple edge points.

[0064] Step S123: Use the spline curve Spline Fitting to fit all edge points to obtain a smooth curve fitting result - the second power load curve graph.

[0065] Step S13, performing multi-time scale extraction on the second power load curve diagram according to a preset time scale, and obtaining multi-time scale sequential load data of the regional power grid to be dispatched.

[0066] In this embodiment, the curve data in the second power load curve diagram is converted into numerical data points, and the threshold is dynamically adjusted according to the local characteristics of the image. Specifically, x is adjusted. min , x max ,y min ,y max Value, where x max Adjust according to demand to obtain data sets of different time scales (for example, if the time scale is every hour, the number of data points in a day is 24; if the time scale is every 15 minutes, the number of data points in a day is 96) to obtain the corresponding data points (x, y) on the curve to form the multi-time scale time series load data of the regional power grid to be dispatched.

[0067] Step S14, obtaining the tie line constraints of the regional power grid to be dispatched.

[0068] In this embodiment, the tie line constraint includes the tie line safety factor α and the tie line thermal stability margin β. Regional power grids are interconnected through tie lines to form a large-scale interconnected power grid. The power flow of the tie line is affected by many factors, such as the load demand, power generation distribution, and line capacity of each region. The tie line constraint is one of the important constraints in SCUC. It is necessary to ensure that the power flow does not exceed the capacity limit of the tie line to ensure the safe and stable operation of the power grid.

[0069] Step S2, based on the tie line constraint and the line transmission loss of the regional power grid to be dispatched, the exchange power of the regional power grid to be dispatched is predicted to obtain an estimated exchange power value of the regional power grid to be dispatched.

[0070] As a preferred solution, step S2 includes step S21 to step S22, and each step is specifically as follows:

[0071] Step S21, according to the preset exchange power reference value algorithm, combined with the tie line constraint, calculate the exchange power reference value of the regional power grid to be dispatched. The exchange power reference value algorithm, please refer to formula (1) for details.

[0072]

[0073] Where P 基准 Indicates the exchange power reference value of the regional power grid to be dispatched; P 额定 Represents the rated power of the regional power grid to be dispatched; α 1 and α 2 Indicates the lower and upper limits of the tie line safety factor; β 1 and β 2 Indicates the lower and upper limits of the thermal stability margin of the tie line.

[0074] In this embodiment, the lower limit and upper limit of the tie line safety factor are 1.2 and 1.5 respectively, and the lower limit and upper limit of the tie line thermal stability margin are 20% and 30% respectively.

[0075] Step S22, based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain the exchange power estimated value of the regional power grid to be scheduled.

[0076] As a preferred solution, step S22 includes step S221 to step S222, and each step is specifically as follows:

[0077] Step S221, according to a preset loss algorithm, combined with the line length and line loss rate of the regional power grid to be scheduled, the line transmission loss of the regional power grid to be scheduled is calculated. The preset loss algorithm is specifically referred to in formula (2).

[0078] δ=l*randbetween(γ1 ,γ 2 ); (2)

[0079] In the formula, δ represents the line transmission loss of the regional power grid to be dispatched; l represents the line length of the regional power grid to be dispatched; γ 1 and γ 2 Indicates the lower and upper limits of the line loss rate of the regional power grid to be dispatched.

[0080] In this embodiment, the lower limit and upper limit of the line loss rate of the regional power grid to be dispatched are 0.01 and 0.05 respectively.

[0081] Step S222, please refer to formula (3), based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain the exchange power estimated value of the regional power grid to be scheduled.

[0082] P estimate = P benchmark + δ; (3)

[0083] Where P 预估 P represents the estimated exchange power of the regional power grid to be dispatched; 基准 represents the estimated exchange power of the regional power grid to be dispatched; δ represents the line transmission loss of the regional power grid to be dispatched.

[0084] Step S3, using the exchange power weight value ω corresponding to each time point of the regional power grid to be dispatched i , weight the estimated exchange power of the regional power grid to be dispatched respectively, and obtain the exchange power simulation value of the regional power grid to be dispatched at each time point.

[0085] In this embodiment, the exchange power weight value ω corresponding to each time point of the regional power grid to be scheduled is i , which can be calculated by referring to formula (4).

[0086]

[0087] In the formula, Load i It represents the load value of the regional power grid to be dispatched at the current time point i; Mean(Load) represents the average value of the typical day load value of the regional power grid to be dispatched.

[0088] Step S4, input the multi-time scale time series load data, as well as the exchange power simulation value and the power generation power simulation value of the regional power grid to be scheduled at each time point, into the pre-built SCUC model, so that the SCUC model outputs an operation strategy, and then dispatches the generator sets of the regional power grid to be scheduled according to the operation strategy.

[0089] As a preferred solution, the process of obtaining the "generated power simulation value" mentioned in step S4 includes steps S01 to S03, and each step is specifically as follows:

[0090] Step S01, by deploying sensor equipment and monitoring equipment in the regional power grid to be dispatched, the total power generation of the regional power grid to be dispatched at various time points on a typical day and the monthly power generation data of the regional power grid to be dispatched are obtained.

[0091] Among them, the monthly power generation data of the regional power grid to be dispatched includes the power generation corresponding to several types of power generation types of the regional power grid to be dispatched within one month.

[0092] Step S02, based on the monthly power generation data of the regional power grid to be dispatched, analyze and obtain the corresponding proportion of each type of power generation.

[0093] It should be noted that there are many types of generators in the power system, including thermal power, hydropower, wind power, solar power, etc. Each type of generator has different operating characteristics and scheduling constraints, such as the longer start and stop time of thermal power units, the stronger flexible adjustment ability of hydropower units, and the greater influence of natural conditions on wind power and solar power generation. The statistical data of different types of power generation include power generation, power generation cost, operating status, etc., which are crucial for the optimization decision of SCUC.

[0094] In this embodiment, the power generation types include, but are not limited to, thermal power generation, hydropower generation, wind power generation, nuclear power generation, and photovoltaic power generation. Specifically, the ratio of power generation data corresponding to each type of power generation, such as thermal power generation, hydropower generation, wind power generation, nuclear power generation, photovoltaic power generation, etc., to the total power generation in the monthly provincial data released by the National Bureau of Statistics is used as the corresponding proportion of each type of power generation.

[0095] Step S03, based on the total power generation of the regional power grid to be scheduled at various time points on a typical day and the corresponding proportion of each type of power generation, calculate the power generation simulation value corresponding to each type of power generation at each time point in the regional power grid to be scheduled.

[0096] In this embodiment, please refer to formula (5) to calculate the total power generation power P of the regional power grid to be dispatched at each time point on a typical day. 总发电 .

[0097] PTotal Power Generation=(Load i + / -P simulation)*randbetween(1.01,1.05); (5)

[0098] In the formula, Load i represents the load value of the regional power grid to be dispatched at the current time point i; P 仿真It indicates the exchange power simulation value of the regional power grid to be scheduled at the current time point.

[0099] In this embodiment, the calculation process of the power generation simulation value corresponding to each type of power generation at each time point in the regional power grid to be dispatched is specifically as follows:

[0100] ① Please refer to formula (6) to calculate the power generation simulation value P corresponding to the hydropower generation of the regional power grid to be dispatched at each time point 水力发电 .

[0101] P hydroelectric power = Percent hydroelectric power * P total power generation; (6)

[0102] In the formula, Percent 水力 Indicates the corresponding proportion of hydroelectric power generation.

[0103] ② Please refer to formula (7) to calculate the simulated power generation value P corresponding to the wind power generation at each time point in the regional power grid to be dispatched 风力发电 .

[0104] P hydroelectric power = Percent wind power * P total power generation; (7)

[0105] In the formula, Percent 风力 Indicates the corresponding proportion of wind power generation.

[0106] ③ Due to its stable power generation characteristics, nuclear energy maintains consistent power generation at each time node. For this, please refer to formula (8) to calculate the power generation simulation value P corresponding to the nuclear power generation at each time point in the regional power grid to be dispatched 核能发电 .

[0107]

[0108] In the formula, Percent 核能 represents the proportion of nuclear power generation; m represents the number of data points in one day.

[0109] ④ The photovoltaic power generation cycle defaults to 7:00am to 5:00pm, and the photovoltaic power generation ratio is allocated to this interval, (photovoltaic ratio*96) / 40. Please refer to formula (9) to calculate the power generation simulation value P corresponding to the photovoltaic power generation at each time point in the photovoltaic power generation cycle of the regional power grid to be dispatched. 光伏发电 .

[0110] P photovoltaic power generation = Percent photovoltaic power generation * P total power generation; (9)

[0111] In the formula, Percent 光伏 Indicates the proportion of photovoltaic power generation.

[0112] ⑤ In the photovoltaic power generation cycle, please refer to formula (10) to calculate the power generation simulation value P corresponding to the photovoltaic power generation of the regional power grid to be dispatched at each time point. Outside the photovoltaic power generation cycle, please refer to formula (11) to calculate the power generation simulation value P corresponding to the photovoltaic power generation of the regional power grid to be dispatched at each time point. 火力发电 .

[0113] P thermal power generation = (Percent thermal power - Percent photovoltaic power) * P total power generation; (10)

[0114]

[0115] In the formula, Percent 水力 Indicates the proportion of thermal power generation; Percent 水力 Indicates the proportion of photovoltaic power generation.

[0116] Please refer to Figure 2 , is a structural diagram of a regional power grid operation and dispatching system based on SCUC provided by an embodiment of the present invention, the system includes a first acquisition module M1, a power prediction module M2, a weighted simulation module M3 and an operation and dispatching module M4, and each module is specifically as follows:

[0117] The first acquisition module M1 is used to acquire multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched;

[0118] The power prediction module M2 is used to predict the exchange power of the power grid in the area to be scheduled based on the tie line constraints and the line transmission loss of the power grid in the area to be scheduled, and obtain an estimated exchange power value of the power grid in the area to be scheduled;

[0119] The weighted simulation module M3 is used to weight the exchange power estimated values ​​of the regional power grid to be dispatched by using the exchange power weight values ​​corresponding to the regional power grid to be dispatched at each time point, and obtain the exchange power simulation values ​​of the regional power grid to be dispatched at each time point;

[0120] The operation scheduling module M4 is used to input the multi-time scale time series load data, as well as the exchange power simulation value and the power generation power simulation value of the regional power grid to be scheduled at each time point into the pre-built SCUC model, so that the SCUC model outputs the operation strategy, and then schedules the generator sets of the regional power grid to be scheduled according to the operation strategy.

[0121] As a preferred solution, the power prediction module M2 specifically includes a calculation unit 21 and a correction unit 22, and the details of each unit are as follows:

[0122] The operation unit 21 is used to calculate the exchange power reference value of the regional power grid to be dispatched according to the preset exchange power reference value algorithm and in combination with the tie line constraint; wherein the tie line constraint includes the tie line safety factor and the tie line thermal stability margin, and the exchange power reference value algorithm is specifically:

[0123]

[0124] Where P 基准 Indicates the exchange power reference value of the regional power grid to be dispatched; P 额定 Represents the rated power of the regional power grid to be dispatched; α 1 and α 2 Indicates the lower and upper limits of the tie line safety factor; β 1 and β 2 Indicates the lower and upper limits of the thermal stability margin of the tie line;

[0125] The correction unit 22 is used to correct the exchange power reference value of the regional power grid to be scheduled based on the line transmission loss of the regional power grid to be scheduled, so as to obtain the exchange power estimated value of the regional power grid to be scheduled.

[0126] As a preferred option, please refer to Figure 2 , a regional power grid operation dispatching system based on SCUC provided by an embodiment of the present invention further includes a second acquisition module M5, which is specifically as follows:

[0127] The second acquisition module M5 is used to obtain the total power generation of the regional power grid to be dispatched at various time points on a typical day and the monthly power generation data of the regional power grid to be dispatched through the sensor equipment and monitoring equipment deployed in the regional power grid to be dispatched; wherein the monthly power generation data of the regional power grid to be dispatched includes the power generation corresponding to several types of power generation types in the regional power grid to be dispatched within one month; based on the monthly power generation data of the regional power grid to be dispatched, the corresponding proportion of each type of power generation is analyzed; based on the total power generation of the regional power grid to be dispatched at various time points on a typical day and the corresponding proportion of each type of power generation, the power generation simulation value corresponding to each type of power generation type at each time point in the regional power grid to be dispatched is calculated.

[0128] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0129] An embodiment of the present invention also provides a terminal, including a processor, a memory, and a computer program stored in the memory; wherein the computer program can be executed by the processor to implement a regional power grid operation scheduling method based on SCUC described in Example 1.

[0130] Preferably, the computer program can be divided into one or more modules / units (such as computer program, computer program), one or more modules / units are stored in the memory and executed by the processor to complete the present invention. One or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal.

[0131] The processor can be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can also be any conventional processor. The processor is the control center of the terminal, and various parts of the terminal are connected using various interfaces and lines.

[0132] The memory mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (Smart Med i aCard, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory can also be other volatile solid-state storage devices.

[0133] It should be noted that the above-mentioned terminal may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the above-mentioned terminal is merely an example and does not constitute a limitation on the terminal. It may include more or fewer components, or a combination of certain components, or different components.

[0134] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0135] The present invention provides a regional power grid operation dispatching method, system and terminal based on SCUC, which obtains multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched, and then considers the line transmission loss factor, based on the tie line constraints and the line transmission loss of the regional power grid to be dispatched, performs exchange power prediction on the regional power grid to be dispatched, obtains the exchange power estimated value of the regional power grid to be dispatched, and then uses the exchange power weight value corresponding to the regional power grid to be dispatched at each time point to respectively weight the exchange power estimated value of the regional power grid to be dispatched, obtains the exchange power simulation value of the regional power grid to be dispatched at each time point, and reduces the power consumption while realizing the exchange power simulation. The transmission loss of the network can be reduced to improve the economy and efficiency of the power grid operation. Next, the multi-time scale time series load data, as well as the exchange power simulation values ​​and power generation power simulation values ​​of the regional power grid to be dispatched at various time points are input into the pre-built SCUC model, so that the SCUC model can adaptively generate a more scientific and reasonable operation strategy based on the data obtained by simulating real statistical data without being restricted by the real-time operation data of the power grid. Finally, according to the operation strategy, the generator sets of the regional power grid to be dispatched are dispatched, which can improve the adaptability of the power grid to load fluctuations and changes, enhance the flexibility of the power grid system, and enable the power grid to better cope with emergencies and load changes.

[0136] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A regional power grid operation dispatching method based on SCUC, characterized in that: include: Obtain multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched; Based on the tie line constraint and the line transmission loss of the regional power grid to be scheduled, performing exchange power prediction on the regional power grid to be scheduled to obtain an estimated exchange power value of the regional power grid to be scheduled; Using the exchange power weight values ​​corresponding to the regional power grid to be scheduled at each time point, weighting the exchange power estimation values ​​of the regional power grid to be scheduled respectively, and obtaining the exchange power simulation values ​​of the regional power grid to be scheduled at each time point; The multi-time-scale time series load data, as well as the exchange power simulation values ​​and the power generation simulation values ​​of the regional power grid to be scheduled at each time point, are input into a pre-built SCUC model so that the SCUC model outputs an operation strategy, and then the generator sets of the regional power grid to be scheduled are scheduled according to the operation strategy.

2. A regional power grid operation dispatching method based on SCUC as claimed in claim 1, characterized in that: The step of predicting the exchange power of the regional power grid to be scheduled based on the tie line constraint and the line transmission loss of the regional power grid to be scheduled to obtain an estimated exchange power value of the regional power grid to be scheduled is specifically as follows: According to the preset exchange power reference value algorithm, combined with the tie line constraint, the exchange power reference value of the regional power grid to be scheduled is calculated; wherein the tie line constraint includes the tie line safety factor and the tie line thermal stability margin, and the exchange power reference value algorithm is specifically: In the formula, Pbase represents the exchange power base value of the regional power grid to be dispatched; Prated represents the rated power of the regional power grid to be dispatched; α1 and α2 represent the lower and upper limits of the safety factor of the tie line; β1 and β2 represent the lower and upper limits of the thermal stability margin of the tie line; Based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain an estimated exchange power value of the regional power grid to be scheduled.

3. A regional power grid operation dispatching method based on SCUC as claimed in claim 2, characterized in that: The method of correcting the exchange power reference value of the regional power grid to be scheduled based on the line transmission loss of the regional power grid to be scheduled to obtain the exchange power estimated value of the regional power grid to be scheduled is specifically as follows: According to a preset loss algorithm, combined with the line length and line loss rate of the regional power grid to be scheduled, the line transmission loss of the regional power grid to be scheduled is calculated; wherein the preset loss algorithm is specifically: δ=l*randbetween(γ1,γ2); In the formula, δ represents the line transmission loss of the regional power grid to be dispatched; l represents the line length of the regional power grid to be dispatched; γ1 and γ2 represent the lower and upper limits of the line loss rate of the regional power grid to be dispatched; Based on the line transmission loss of the regional power grid to be scheduled, the exchange power reference value of the regional power grid to be scheduled is corrected to obtain an estimated exchange power value of the regional power grid to be scheduled.

4. A regional power grid operation dispatching method based on SCUC as claimed in claim 1, characterized in that: The acquisition of multi-time scale time series load data of the regional power grid to be dispatched is specifically as follows: By means of sensor equipment and monitoring equipment deployed in the power grid in the area to be dispatched, a first power load curve graph of the power grid in the area to be dispatched is collected in real time; wherein the first power load curve graph is composed of typical daily load data; Preprocessing the first power load curve graph to obtain a corresponding second power load curve graph; According to a preset time scale, multi-time scale extraction is performed on the second power load curve diagram to obtain multi-time scale time series load data of the regional power grid to be dispatched.

5. A regional power grid operation dispatching method based on SCUC as claimed in claim 4, characterized in that: The preprocessing of the first power load curve graph to obtain the corresponding second power load curve graph is specifically: grayscale the first power load curve diagram to obtain a corresponding grayscale image; Applying a Gaussian blur filter to process the grayscale image, and based on the gradient of the processed grayscale image, detecting the edge of the processed grayscale image and marking a plurality of edge points; All the edge points are fitted to obtain a corresponding second power load curve graph.

6. A regional power grid operation dispatching method based on SCUC as claimed in claim 1, characterized in that: The acquisition of the power generation simulation value is specifically as follows: By means of sensor equipment and monitoring equipment deployed in the regional power grid to be dispatched, the total power generation of the regional power grid to be dispatched at various time points on a typical day and the monthly power generation data of the regional power grid to be dispatched are obtained; wherein the monthly power generation data of the regional power grid to be dispatched includes the power generation corresponding to several types of power generation of the regional power grid to be dispatched within one month; Based on the monthly power generation data of the regional power grid to be dispatched, the corresponding proportions of various power generation types are obtained through analysis; Based on the total power generation of the regional power grid to be dispatched at various time points on a typical day and the corresponding proportion of each type of power generation, the power generation simulation value corresponding to each type of power generation at various time points in the regional power grid to be dispatched is calculated.

7. A regional power grid operation and dispatching system based on SCUC, characterized in that: include: The first acquisition module is used to acquire multi-time scale time series load data and tie line constraints of the regional power grid to be dispatched; A power prediction module, configured to predict the exchange power of the regional power grid to be scheduled based on the tie line constraint and the line transmission loss of the regional power grid to be scheduled, and obtain an estimated exchange power value of the regional power grid to be scheduled; A weighted simulation module is used to weight the exchange power estimated value of the regional power grid to be scheduled by using the exchange power weight value corresponding to the regional power grid to be scheduled at each time point, so as to obtain the exchange power simulation value of the regional power grid to be scheduled at each time point; The operation scheduling module is used to input the multi-time-scale time-series load data, as well as the exchange power simulation value and the power generation power simulation value of the regional power grid to be scheduled at each time point into a pre-built SCUC model, so that the SCUC model outputs an operation strategy, and then schedules the generator sets of the regional power grid to be scheduled according to the operation strategy.

8. A regional power grid operation dispatching system based on SCUC as claimed in claim 7, characterized in that: The power prediction module specifically includes: A computing unit is used to calculate the exchange power reference value of the regional power grid to be scheduled according to a preset exchange power reference value algorithm and in combination with the tie line constraint; wherein the tie line constraint includes a tie line safety factor and a tie line thermal stability margin, and the exchange power reference value algorithm is specifically: In the formula, Pbase represents the exchange power base value of the regional power grid to be dispatched; Prated represents the rated power of the regional power grid to be dispatched; α1 and α2 represent the lower and upper limits of the safety factor of the tie line; β1 and β2 represent the lower and upper limits of the thermal stability margin of the tie line; The correction unit is used to correct the exchange power reference value of the regional power grid to be scheduled based on the line transmission loss of the regional power grid to be scheduled, so as to obtain the exchange power estimated value of the regional power grid to be scheduled.

9. The regional power grid operation dispatching system based on SCUC according to claim 7, characterized in that: Also includes: The second acquisition module is used to obtain the total power generation of the regional power grid to be dispatched at various time points on a typical day and the monthly power generation data of the regional power grid to be dispatched through the sensor equipment and monitoring equipment deployed in the regional power grid to be dispatched; wherein the monthly power generation data of the regional power grid to be dispatched includes the power generation corresponding to several types of power generation types of the regional power grid to be dispatched within one month; based on the monthly power generation data of the regional power grid to be dispatched, the corresponding proportion of each type of power generation is analyzed; based on the total power generation of the regional power grid to be dispatched at various time points on a typical day and the corresponding proportion of each type of power generation, the power generation simulation value corresponding to each type of power generation type of the regional power grid to be dispatched at each time point is calculated.

10. A terminal, characterized in that: It comprises a processor, a memory and a computer program stored in the memory; wherein the computer program can be executed by the processor to implement a regional power grid operation and scheduling method based on SCUC as described in any one of claims 1 to 6.