Source network load storage low-carbon operation scheme making method, device, equipment and medium

Abstract

The invention discloses a source network load storage low-carbon operation scheme making method, device, equipment and medium, and the method comprises the steps: obtaining the operation parameters of a target energy system in a target monitoring time period, and determining the operation performance trend of the target energy system according to the operation parameters of a power supply side, a power grid side, a load side and an energy storage side; and determining system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and making a corresponding operation scheme according to the system operation stability and the carbon emission influence indexes. According to the technical scheme, on one hand, the operation parameters of the power supply side, the power grid side, the load side and the energy storage side are comprehensively considered, comprehensive evaluation of the operation performance of the energy system is achieved, and on the other hand, the operation stability of the system can be determined by combining the operation performance trend and the carbon emission parameters of the target energy system. And an operation scheme capable of ensuring the operation stability of the system and reducing the carbon emission is formulated, so that the phenomena of abnormal operation and over-high carbon emission during the operation of the energy system are avoided.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method, device, equipment and medium for formulating a low-carbon operation plan for a source, grid, load and storage. Background Art

[0002] As the total reserves of non-renewable energy such as oil, coal, and natural gas decrease, new energy power generation represented by wind and light will usher in explosive growth and high-proportion access, resulting in distributed power sources represented by solar photovoltaic power generation equipment and wind power generation equipment, and energy storage devices represented by electrochemical energy storage equipment and virtual energy storage equipment accounting for an increasing proportion in the energy system. In order to adapt to the randomness, volatility, and intermittency of new energy power generation, energy storage has gradually become an important part of the development of the new energy era. With green development as the goal, a comprehensive energy system that reduces emissions and carbon emissions has become an important part of progress in the social energy field.

[0003] In related technologies, traditional energy system operation plans often ignore the stability of system operation and the control of carbon emissions in order to maximize energy utilization, resulting in abnormal operation and excessive carbon emissions. Summary of the invention

[0004] The main purpose of this application is to provide a method, device, equipment and medium for formulating a low-carbon operation plan for source, grid, load and storage, so as to at least solve the technical problems in related technologies that energy systems are prone to abnormal operation and excessive carbon emissions.

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] A method for formulating a low-carbon operation plan for a power source, a grid, a load and a storage system, the method comprising:

[0007] Acquire the operating parameters of the target energy system within the target monitoring period; wherein the operating parameters of the target energy system include a first operating parameter on the power supply side, a second operating parameter on the grid side, a third operating parameter on the load side, and a fourth operating parameter on the energy storage side;

[0008] Determine the operating performance trend of the target energy system within the estimated time period according to the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side and the fourth operating parameter of the energy storage side;

[0009] Determine the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and obtain the carbon emission impact index corresponding to each operation parameter;

[0010] A corresponding operation plan is formulated according to the system operation stability and the carbon emission impact index.

[0011] As a further improvement of the present application, before the step of obtaining the operating parameters of the target energy system within the target monitoring period, the method further includes:

[0012] Obtain carbon emission indicators of energy systems in all detection areas during the regular monitoring period from the energy system monitoring platform;

[0013] Detecting whether the carbon emission index exceeds a preset carbon emission threshold;

[0014] When the carbon emission index exceeds the carbon emission threshold, a target monitoring period and a target energy system corresponding to the carbon emission index are confirmed from the regular monitoring period.

[0015] As a further improvement of the present application, the step of determining the operating performance trend of the target energy system within the estimated time period according to the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side, and the fourth operating parameter of the energy storage side specifically includes:

[0016] Filtering a corresponding operation performance model from a preset model database according to the carbon emission index of the target energy system;

[0017] Substituting the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side and the fourth operating parameter of the energy storage side as input data into the operating performance model;

[0018] The operation performance model is simulated, calculated and analyzed within the estimated time period to obtain the operation performance trend of the target energy system within the estimated time period.

[0019] As a further improvement of the present application, the step of simulating and calculating the operating performance model within the estimated time period to obtain the operating performance trend of the target energy system within the estimated time period specifically includes:

[0020] Divide the estimated time period into a plurality of consecutive estimated node periods; wherein the number of estimated node periods is positively correlated with the carbon emission difference, and the carbon emission difference is the difference between the carbon emission index and the carbon emission threshold;

[0021] Using the algorithm formula in the operating performance model Multiple operating performance efficiency values ​​corresponding to multiple estimated node periods are sequentially performed; wherein, represents the operating performance efficiency value of the target energy system in the estimated node period t; X1 represents the first operating parameter; X2 represents the second operating parameter; X3 represents the third operating parameter; X4 represents the fourth operating parameter; μ1 to μ4 represent the efficiency values ​​corresponding to the operating parameters respectively; represents the efficiency correction coefficient corresponding to the operating performance model;

[0022] The operating performance trend of the target energy system within the estimated time period is obtained according to the multiple operating performance efficiency values.

[0023] As a further improvement of the present application, the step of determining the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system specifically includes:

[0024] Using the preset stability calculation formula The system operation stability is calculated by substituting the operation performance trend and the carbon emission parameters of the target energy system; where R is the system operation stability, y is the binary output variable, ω i is the score value corresponding to Yi, and the operating performance trend and the carbon emission parameter of the target energy system correspond to Y1 and Y2 respectively.

[0025] As a further improvement of the present application, the step of determining the corresponding operation scheme according to the system operation stability and the carbon emission impact index specifically includes:

[0026] When the system operation stability is lower than a preset system operation threshold, the plurality of carbon emission impact indicators are respectively compared with the preset carbon emission impact threshold to obtain a comparison result;

[0027] Confirm the target impact indicator through the comparison result; wherein the target impact indicator is the impact indicator of the carbon emission impact indicator that is greater than the carbon emission impact threshold;

[0028] An operation plan for reducing the target operation parameter is determined according to the target impact indicator.

[0029] As a further improvement of the present application, after the step of determining the corresponding operation scheme according to the system operation stability and the carbon emission impact index, it also includes:

[0030] Generate an instruction according to the operation plan; wherein the instruction is used to instruct the target energy system to run the operation plan within an estimated time period, and the operation plan is used to reduce target operation parameters.

[0031] To achieve the above objectives, this application also provides the following technical solutions:

[0032] A source-grid-load-storage low-carbon operation plan formulation device, which is applied to the source-grid-load-storage low-carbon operation plan formulation method, and the source-grid-load-storage low-carbon operation plan formulation device includes:

[0033] An acquisition module, used to acquire the operating parameters of the target energy system within the target monitoring period; wherein the operating parameters of the target energy system include a first operating parameter on the power supply side, a second operating parameter on the grid side, a third operating parameter on the load side, and a fourth operating parameter on the energy storage side;

[0034] A first determination module, used to determine the operating performance trend of the target energy system within an estimated time period according to the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side and the fourth operating parameter of the energy storage side;

[0035] A second determination module is used to determine the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and obtain the carbon emission impact index corresponding to each operation parameter;

[0036] The operation module is used to formulate a corresponding operation plan according to the system operation stability and the carbon emission impact index.

[0037] To achieve the above objectives, this application also provides the following technical solutions:

[0038] An electronic device comprises a processor and a memory coupled to the processor, wherein the memory stores program instructions executable by the processor; when the processor executes the program instructions stored in the memory, the method for formulating a source-grid-load-storage low-carbon operation plan as described above is implemented.

[0039] To achieve the above objectives, this application also provides the following technical solutions:

[0040] A storage medium stores program instructions, which, when executed by a processor, can implement the method for formulating a source-grid-load-storage low-carbon operation plan as described above.

[0041] The source-grid-load-storage low-carbon operation scheme formulation method, device, equipment and medium of the present invention obtain the operating parameters of the target energy system in the target monitoring period, determine the operating performance trend of the target energy system in the estimated time period according to the first operating parameter on the power supply side, the second operating parameter on the power grid side, the third operating parameter on the load side and the fourth operating parameter on the energy storage side, determine the system operation stability according to the operating performance trend and the carbon emission parameters of the target energy system, and obtain the carbon emission impact index corresponding to each operating parameter, and formulate the corresponding operation scheme according to the system operation stability and the carbon emission impact index. That is, the source-grid-load-storage low-carbon operation scheme formulation method of the present technical scheme, on the one hand, comprehensively considers the operating parameters of the power supply side, the power grid side, the load side and the energy storage side, and realizes a comprehensive and accurate evaluation of the operating performance of the energy system. On the other hand, it can determine the system operation stability in combination with the operating performance trend and the carbon emission parameters of the target energy system, and then can formulate an operation scheme that can both ensure the system operation stability and reduce carbon emissions, and can balance the relationship between energy utilization efficiency and carbon emissions, and ensure that the energy system achieves the goal of low-carbon emissions while operating stably, thereby avoiding abnormal operation and excessive carbon emissions during the operation of the energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the steps of an embodiment of a method for formulating a source-grid-load-storage low-carbon operation plan of the present application;

[0043] Figure 2 A functional module diagram of an embodiment of a source-grid-load-storage low-carbon operation plan formulation device for the present application;

[0044] Figure 3 This is a schematic diagram of the structure of an embodiment of the electronic device of the present application;

[0045] Figure 4 This is a schematic diagram of the structure of an embodiment of the storage medium of the present application. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0047] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0048] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0049] In the related technologies, the traditional energy system operation scheme is often prone to abnormal operation and excessive carbon emissions in the energy system in order to maximize energy utilization. 1. The reasons for abnormal operation include: imbalance between supply and demand: During the operation of traditional energy systems, it is often difficult to accurately predict load changes, resulting in an imbalance between supply and demand. When the load suddenly increases, if the power supply side cannot respond in time, insufficient power supply may occur, and vice versa, it may lead to energy waste. Equipment aging and failure: With the long-term operation of the energy system, the equipment will gradually age and may fail. These devices operating in an aged or faulty state are not only inefficient, but may also cause safety accidents and lead to abnormal operation of the system. Lack of flexibility: Traditional energy systems often lack flexibility and are difficult to cope with the volatility and intermittency of new energy (such as wind power and photovoltaics). When the output of new energy is insufficient, the system may need to rely on fossil energy to supplement, which not only increases carbon emissions, but also may affect the stable operation of the system. 2. The reasons for excessive carbon emissions include: Fossil energy dependence: Traditional energy systems are often highly dependent on fossil energy (such as coal, oil, and natural gas). The combustion of these energy sources will produce a large amount of greenhouse gases such as carbon dioxide, resulting in excessive carbon emissions. Low energy efficiency: Due to aging equipment and backward technology, the energy efficiency of traditional energy systems is often low. This not only wastes precious energy resources, but also increases carbon emissions. Lack of low-carbon technology: Traditional energy systems often lack the application of low-carbon technologies during operation, such as carbon capture and storage, carbon trading, etc. The application of these technologies can reduce carbon emissions to a certain extent, but traditional systems are often not widely adopted due to limitations of cost, technology and other factors.

[0050] In order to solve the technical problems in related technologies that energy systems are prone to abnormal operation and excessive carbon emissions, the present application provides a method for formulating a low-carbon operation plan for source, grid, load and storage.

[0051] See also Figure 1 A method for formulating a source-grid-load-storage low-carbon operation plan in this embodiment includes the following steps:

[0052] Step S1, obtaining the operating parameters of the target energy system within the target monitoring period.

[0053] Specifically, the energy system monitoring platform usually integrates functions such as data collection, processing, analysis and display, and can monitor and record the operating status of the energy system in real time. In this way, the operating parameters of the target energy system during the target monitoring period can be obtained through the energy system monitoring platform. Among them, the operating parameters of the target energy system include the first operating parameters on the power supply side, the second operating parameters on the grid side, the third operating parameters on the load side, and the fourth operating parameters on the energy storage side.

[0054] It should be noted that the power supply side mainly refers to the power generation equipment or the power input end. The first operating parameters of the power supply side include power generation, power generation efficiency, fuel consumption, equipment operating temperature, pressure, etc., which are crucial for evaluating the stability and efficiency of the energy system. The grid side mainly refers to transmission lines, substations, and power generation equipment. The second operating parameters of the grid side include voltage, current, frequency, power factor, grid loss, load rate, etc., and its operating status directly affects the transmission and distribution of energy. The load side mainly refers to the user end of the energy system. The third operating parameters of the load side include load size, load change rate, power demand, power quality, etc., and its operating parameters reflect the actual consumption of energy. The energy storage side mainly refers to energy storage systems that are built in existing substations, abandoned substations or dedicated sites and directly connected to the public power grid. For example, energy storage power stations are built with the main purpose of assisting power dispatching agencies to provide power auxiliary services to the power grid, delaying or replacing the upgrading and transformation of transmission and transformation facilities. The fourth operating parameters of the energy storage side include energy storage capacity, charging and discharging power, charging and discharging efficiency, battery temperature, and state of charge. Its operating parameters are of great significance for evaluating the energy storage effect and system stability.

[0055] In some optional implementations of this embodiment, before the step of obtaining the operating parameters of the target energy system in the target monitoring period, it also includes: obtaining the carbon emission index of the energy systems in all detection areas in the regular monitoring period from the energy system monitoring platform, detecting whether the carbon emission index exceeds the preset carbon emission threshold, and when the carbon emission index exceeds the carbon emission threshold, confirming the target monitoring period and target energy system corresponding to the carbon emission index from the regular monitoring period. That is, the comparison result of the carbon emission index and the carbon emission threshold can be used to screen and identify the target energy system with abnormal conditions (carbon emissions exceeding the standard) from the energy system monitoring platform.

[0056] Step S2, determining the operating performance trend of the target energy system within the estimated time period according to the first operating parameter on the power supply side, the second operating parameter on the grid side, the third operating parameter on the load side and the fourth operating parameter on the energy storage side.

[0057] In this embodiment, the operating parameters of the source-grid-load-storage in the target energy system cover multiple aspects of the power supply side, the grid side, the load side and the energy storage side. These first operating parameters, second operating parameters, third operating parameters and fourth operating parameters jointly reflect the real-time operating status and regulation capabilities of the target energy system. In this way, the operating performance and operating performance trend of the energy system can be determined by real-time monitoring and regulation of these parameters.

[0058] Specifically, the step of determining the operating performance trend of the target energy system within the estimated time period according to the first operating parameter on the power supply side, the second operating parameter on the grid side, the third operating parameter on the load side and the fourth operating parameter on the energy storage side specifically includes: selecting the corresponding operating performance model from the preset model database according to the carbon emission index of the target energy system, substituting the first operating parameter on the power supply side, the second operating parameter on the grid side, the third operating parameter on the load side and the fourth operating parameter on the energy storage side as input data into the operating performance model, and performing simulation calculation and analysis on the operating performance model within the estimated time period to obtain the operating performance trend of the target energy system within the estimated time period; wherein, the operating performance trend includes the operating performance efficiency values ​​corresponding to multiple estimated time nodes of the target energy system within the estimated time period. Generally, the operating performance efficiency value is a value greater than 0 and less than 1, and its value directly reflects the energy utilization efficiency and operating effect of the energy system. Specifically: the higher the operating performance efficiency value, the better the energy system performs in terms of design, operation and maintenance, and can more effectively convert the input energy into the required output, such as electricity, heat energy, etc., which also means lower environmental pollution and emissions, and helps to achieve sustainable development. The lower the operating performance efficiency value, the greater the loss or waste in the energy system during energy conversion and utilization, which may cause a greater burden on the environment. More energy consumption is often accompanied by more emissions and pollution.

[0059] Step S3, determining the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and obtaining the carbon emission impact index corresponding to each operation parameter.

[0060] In this embodiment, after the operating performance trend is obtained, the operating performance trend can be used to roughly determine the variation range of multiple operating performance efficiency values ​​of the target energy system within the estimated time period, and the carbon emission parameters of the target energy system within the estimated time period are combined accordingly to further determine the system operation stability. And after the system operation stability is obtained, the carbon emission impact index corresponding to each operating parameter is obtained through the energy system monitoring platform. Each operating parameter on the power supply side, the grid side, the load side and the energy storage side will have different carbon emission impact indicators when they are at different parameter values. The carbon emission impact index mainly refers to the impact of the operating parameter on carbon emissions. The larger the carbon emission impact index, the greater the impact of the operating parameter on carbon emissions.

[0061] It should be noted that the operating performance trend and carbon emission parameters have an impact on the stability of system operation, and they are multifaceted. They interact with each other and jointly determine the stability and reliability of the system. Specifically: the impact of the operating performance trend on the stability of the system operation includes performance improvement to enhance stability and performance degradation to threaten stability. When the operating performance trend of the system continues to improve, it means that the key indicators of the system, such as efficiency, response speed, and load capacity, are optimized. This helps the system to better cope with various emergencies and load changes, thereby improving the stability of the system. For example, in the power system, with the improvement of the level of intelligence of the power grid, the automatic dispatching, fault detection and recovery capabilities of the power grid have been significantly enhanced, effectively ensuring the stable operation of the power grid. When the performance declines, it will threaten stability. That is, if the operating performance of the system shows a downward trend, such as aging equipment, backward technology, improper maintenance, etc., it will lead to slower system response and increased failure rate, which will threaten the stable operation of the system. In this case, the system may not be able to respond to load changes or external interference in a timely manner, and it is easy to fail or even paralyzed. The impact of carbon emissions on the stability of system operation includes environmental constraints and policy pressures, as well as technological innovation and cost considerations; carbon emissions, as an important indicator to measure the environmental friendliness of the system, are closely watched by global climate change and environmental protection policies. As countries strengthen restrictions on carbon emissions, the system needs to operate under the premise of meeting carbon emission requirements, which puts higher requirements on the design and operation strategies of the system. For example, in the energy system, measures such as promoting clean energy, improving energy efficiency, and reducing the use of fossil fuels can help reduce carbon emissions, but at the same time, they may also increase the complexity and cost of the system and affect the stability of the system. In terms of technological innovation and cost considerations, in order to reduce carbon emissions, the system often needs to carry out technological innovation and equipment upgrades. While these new technologies and equipment improve the environmental performance of the system, they may also bring technical risks and economic costs. If the technological innovation is not mature enough or the cost is too high, it will affect the stable operation of the system. On the other hand, excessive pursuit of low carbon emissions while ignoring the performance optimization of other aspects of the system may also cause the system to become unstable under certain working conditions.

[0062] In some optional implementations of this embodiment, the step of determining the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system specifically includes: using a preset stability calculation formula The system operation stability is calculated by substituting the operation performance trend and the carbon emission parameters of the target energy system; where R is the system operation stability, y is the binary output variable, ω iis the score value corresponding to Yi, and the operating performance trend and the carbon emission parameters of the target energy system correspond to Y1 and Y2 respectively. That is, after obtaining the operating performance trend and the carbon emission parameters of the target energy system, the operating performance efficiency value with the highest frequency is determined from multiple estimated time periods of the operating performance trend, and the operating performance efficiency value with the highest frequency in the operating performance trend and the carbon emission parameters of the target energy system are substituted into the stability calculation formula to calculate the system operation stability. It can be seen that the operating performance trend and the carbon emission parameters are important factors affecting the system operation stability, and the system operation stability can be calculated accordingly through the operating performance trend and the carbon emission parameters; generally, the system operation stability is a value greater than 0 and less than 1. The level of system operation stability directly reflects the system's ability to maintain normal operation in the face of various internal and external disturbances, which is used to evaluate the system performance of the target energy system.

[0063] Step S4, formulating a corresponding operation plan according to the system operation stability and carbon emission impact indicators.

[0064] Specifically, after obtaining the system operation stability and carbon emission impact indicators, the system operation stability is compared with the preset system operation threshold. When the system operation stability is lower than the preset system operation threshold, it indicates that the target energy system needs to adjust the operation plan to improve the operation stability. Then, multiple carbon emission impact indicators are compared with the preset carbon emission impact threshold to obtain comparison results. The target impact indicators are confirmed through the comparison results, and the operation plan for reducing the target operation parameters is determined according to the target impact indicators. After formulating the corresponding operation plan, an indication instruction can be generated according to the operation plan, and based on the indication instruction, the target energy system is instructing to operate the operation plan within the estimated time period to reduce the target operation parameters.

[0065] In this embodiment, each operating parameter of the target energy system refers to the first operating parameter on the power supply side, the second operating parameter on the grid side, the third operating parameter on the load side, and the fourth operating parameter on the energy storage side. The four operating parameters correspond to four carbon emission impact indicators. When comparing, the four carbon emission impact indicators are compared with the carbon emission impact threshold in turn, so that the operating parameters corresponding to the carbon emission impact indicators higher than the carbon emission impact threshold are used as the target impact indicators. For example, when the comparison result is that the carbon emission impact indicator corresponding to the first operating parameter on the power supply side is greater than the carbon emission impact threshold, indicating that the power supply side has an abnormal impact on carbon emissions during operation, the first operating parameter is used as the target impact indicator, so as to formulate an operating plan for reducing the first operating parameter (target impact indicator) in the subsequent process (estimated time period) to control the operation of the target energy system. Among them, the operating plan for reducing the first operating parameter includes operating plans such as optimizing the transformer operation mode, improving the grid structure and operation mode, adopting advanced control technology and equipment, improving equipment efficiency and maintenance level, and implementing demand side management.

[0066] It should be noted that different operation schemes can be pre-stored in the scheme library, and each operation scheme has different functions, one part is used to reduce the first operation parameter, one part is used to reduce the second operation parameter, one part is used to reduce the third operation parameter, and one part is used to reduce the fourth operation parameter. For example, optimizing the operation mode of the transformer mainly involves adjusting the transformer tap. Under the premise of meeting the voltage demand on the load side, by adjusting the position of the transformer tap, the transformer output voltage is reduced, thereby reducing the current output on the power supply side. This method is direct and effective, and has little impact on system stability. In addition, the reasonable selection of transformer capacity and parallel operation mode can be based on load demand, reasonably selecting transformer capacity, avoiding the "big horse pulling a small cart" phenomenon, reducing reactive power loss, and optimizing the parallel and separate operation modes of transformers to improve economic operation efficiency. Improving the grid structure and operation mode mainly involves grid structure optimization and busbar segmented operation. Grid structure optimization is to reduce the electrical connection between grids by optimizing the grid structure, such as adopting a segmented and segmented operation mode, thereby reducing the short-circuit current level and indirectly reducing the operation parameters on the power supply side. This method requires comprehensive consideration of the overall layout of the grid and future development plans. Busbar segmentation is to operate the busbar in segments, which can reduce the electrical connection between lines, limit short-circuit current, and reduce the current output on the power supply side during short-circuit faults. However, it should be noted that busbar segmentation may reduce power supply reliability and needs to be weighed. The use of advanced control technology and equipment includes automatic voltage regulators and flexible AC transmission system equipment. The automatic voltage regulator is installed at the generator end, which can automatically adjust the generator excitation current according to the system voltage change, thereby stabilizing the system voltage and reducing the voltage fluctuation on the power supply side. Flexible AC transmission system equipment is such as static VAR compensators and static synchronous compensators, which can quickly adjust the system reactive power, improve voltage quality, and reduce the operating parameters on the power supply side. Improving equipment efficiency and maintenance level includes equipment selection and upgrading and strengthening equipment maintenance. Equipment selection and upgrading can reduce the operating parameters on the power supply side from the source by selecting high-efficiency and energy-saving power equipment, such as high-efficiency transformers and high-efficiency motors. At the same time, old equipment is upgraded and renovated to improve its operating efficiency. Strengthen equipment maintenance. Regularly perform maintenance and inspection on power equipment to promptly detect and handle equipment failures and hidden dangers, ensure that the equipment is in good operating condition, and reduce abnormal fluctuations in power supply parameters caused by equipment failures. Implement demand-side management, including load management and energy efficiency improvement. Load management guides users to use electricity reasonably through peak and valley electricity prices, interruptible loads and other measures, reduces electricity demand during peak hours, and thus reduces the power supply pressure on the power supply side. Energy efficiency improvement improves the energy efficiency level on the user side and reduces ineffective power consumption by promoting energy-saving technologies and products, thereby indirectly reducing the operating parameters on the power supply side. In addition, the remaining operating schemes that can be used to reduce various operating parameters will not be described here.

[0067] Through the implementation of the source-grid-load-storage low-carbon operation plan formulation method of this embodiment, on the one hand, the operating parameters of the power supply side, grid side, load side and energy storage side are comprehensively considered to achieve a comprehensive and accurate evaluation of the operating performance of the energy system. On the other hand, the operating performance trend and the carbon emission parameters of the target energy system can be combined to determine the system operation stability. Then, according to the system operation stability and carbon emission impact indicators, an operation plan can be formulated in a targeted manner that can both ensure the system operation stability and reduce carbon emissions, thereby avoiding abnormal operation and excessive carbon emissions in the energy system.

[0068] In some optional implementations of this embodiment, the operation performance model is simulated and calculated and analyzed within the estimated time period to obtain the operation performance trend of the target energy system within the estimated time period, specifically including: dividing the estimated time period into a plurality of continuous estimated node periods; wherein the number of estimated node periods is positively correlated with the carbon emission difference, and the carbon emission difference is the difference between the carbon emission index and the carbon emission threshold; using the algorithm formula in the operation performance model Multiple operating performance efficiency values ​​corresponding to multiple estimated node periods are sequentially performed; wherein, represents the operating performance efficiency value of the target energy system in the estimated node period t; X1 represents the first operating parameter; X2 represents the second operating parameter; X3 represents the third operating parameter; X4 represents the fourth operating parameter; μ1 to μ4 represent the efficiency values ​​corresponding to each operating parameter respectively; It represents the efficiency correction coefficient corresponding to the operation performance model, and obtains the operation performance trend of the target energy system within the estimated time period according to multiple operation performance efficiency values.

[0069] Specifically, the number of estimated node periods is positively correlated with the carbon emission difference, indicating that when the difference between the carbon emission index and the carbon emission threshold is large, more estimated node periods will be divided to more intensively monitor and adjust the operation of the energy system, thereby obtaining multiple operating performance efficiency values ​​corresponding to more estimated node periods, and more comprehensively evaluating the operating performance trend of the energy system, avoiding the one-sidedness caused by a single parameter.

[0070] See also Figure 2 This embodiment provides a source-grid-load-storage low-carbon operation plan formulation device, which can execute the source-grid-load-storage low-carbon operation plan formulation method of each of the above embodiments, and the source-grid-load-storage low-carbon operation plan formulation device includes:

[0071] An acquisition module 21 is used to acquire the operating parameters of the target energy system within the target monitoring period; wherein the operating parameters of the target energy system include a first operating parameter on the power supply side, a second operating parameter on the grid side, a third operating parameter on the load side, and a fourth operating parameter on the energy storage side;

[0072] A first determination module 22, for determining an operating performance trend of a target energy system within an estimated time period according to a first operating parameter on a power supply side, a second operating parameter on a grid side, a third operating parameter on a load side, and a fourth operating parameter on an energy storage side;

[0073] The second determination module 23 is used to determine the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and obtain the carbon emission impact index corresponding to each operation parameter;

[0074] The operation module 24 is used to formulate a corresponding operation plan according to the system operation stability and carbon emission impact indicators.

[0075] Through the implementation of the source-grid-load-storage low-carbon operation plan formulation device of this embodiment, on the one hand, the operating parameters of the power supply side, grid side, load side and energy storage side are comprehensively considered to achieve a comprehensive and accurate evaluation of the operating performance of the energy system. On the other hand, the operating performance trend and the carbon emission parameters of the target energy system can be combined to determine the system operation stability. Then, according to the system operation stability and carbon emission impact indicators, an operation plan that can both ensure the system operation stability and reduce carbon emissions can be formulated in a targeted manner, thereby avoiding abnormal operation and excessive carbon emissions in the energy system.

[0076] like Figure 3 As shown, this embodiment provides an embodiment of an electronic device. In this embodiment, the electronic device 3 includes a processor 31 and a memory 32 coupled to the processor 11.

[0077] The memory 32 stores program instructions for implementing the method for formulating a source-grid-load-storage low-carbon operation plan in any of the above-mentioned embodiments.

[0078] The processor 31 is used to execute program instructions stored in the memory 32 to perform a method for formulating a source-grid-load-storage low-carbon operation plan.

[0079] The processor 31 may also be referred to as a CPU (Central Processing Unit). The processor 31 may be an integrated circuit chip having signal processing capabilities. The processor 31 may also be a general-purpose processor, 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. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0080] Further, Figure 4The schematic diagram of the structure of the storage medium of an embodiment of the present application is that the storage medium 4 of the embodiment of the present application stores program instructions 41 that can implement all the above methods, wherein the program instructions 41 can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0081] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0082] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the specification and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

[0083] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A method for formulating a low-carbon operation plan for source, grid, load and storage, characterized in that: The method for formulating the source-grid-load-storage low-carbon operation plan includes: Acquire the operating parameters of the target energy system within the target monitoring period; wherein the operating parameters of the target energy system include a first operating parameter on the power supply side, a second operating parameter on the grid side, a third operating parameter on the load side, and a fourth operating parameter on the energy storage side; Determine the operating performance trend of the target energy system within the estimated time period according to the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side and the fourth operating parameter of the energy storage side; Determine the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and obtain the carbon emission impact index corresponding to each operation parameter; A corresponding operation plan is formulated according to the system operation stability and the carbon emission impact index.

2. A method for formulating a source-grid-load-storage low-carbon operation plan according to claim 1, characterized in that: Before the step of obtaining the operating parameters of the target energy system within the target monitoring period, the method further includes: Obtain carbon emission indicators of energy systems in all detection areas during the regular monitoring period from the energy system monitoring platform; Detecting whether the carbon emission index exceeds a preset carbon emission threshold; When the carbon emission index exceeds the carbon emission threshold, a target monitoring period and a target energy system corresponding to the carbon emission index are confirmed from the regular monitoring period.

3. A method for formulating a source-grid-load-storage low-carbon operation plan according to claim 1, characterized in that: The step of determining the operating performance trend of the target energy system within the estimated time period according to the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side, and the fourth operating parameter of the energy storage side specifically includes: Filtering a corresponding operation performance model from a preset model database according to the carbon emission index of the target energy system; Substituting the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side and the fourth operating parameter of the energy storage side as input data into the operating performance model; The operation performance model is simulated, calculated and analyzed within the estimated time period to obtain the operation performance trend of the target energy system within the estimated time period.

4. A method for formulating a source-grid-load-storage low-carbon operation plan according to claim 3, characterized in that: The step of performing simulation calculation and analysis on the operation performance model within the estimated time period to obtain the operation performance trend of the target energy system within the estimated time period specifically includes: Divide the estimated time period into a plurality of consecutive estimated node periods; wherein the number of estimated node periods is positively correlated with the carbon emission difference, and the carbon emission difference is the difference between the carbon emission index and the carbon emission threshold; Using the algorithm formula in the operating performance model Multiple operating performance efficiency values ​​corresponding to multiple estimated node periods are sequentially performed; wherein, represents the operating performance efficiency value of the target energy system in the estimated node period t; X1 represents the first operating parameter; X2 represents the second operating parameter; X3 represents the third operating parameter; X4 represents the fourth operating parameter; μ1 to μ4 represent the efficiency values ​​corresponding to the operating parameters respectively; represents the efficiency correction coefficient corresponding to the operating performance model; The operating performance trend of the target energy system within the estimated time period is obtained according to the multiple operating performance efficiency values.

5. A method for formulating a source-grid-load-storage low-carbon operation plan according to claim 3, characterized in that: The step of determining the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system specifically includes: Using the preset stability calculation formula The system operation stability is calculated by substituting the operation performance trend and the carbon emission parameters of the target energy system; where R is the system operation stability, y is the binary output variable, ω i is the score value corresponding to Yi, and the operating performance trend and the carbon emission parameter of the target energy system correspond to Y1 and Y2 respectively.

6. A method for formulating a source-grid-load-storage low-carbon operation plan according to claim 1, characterized in that: The step of determining the corresponding operation plan according to the system operation stability and the carbon emission impact index specifically includes: When the system operation stability is lower than a preset system operation threshold, the plurality of carbon emission impact indicators are respectively compared with the preset carbon emission impact threshold to obtain a comparison result; Confirm the target impact indicator through the comparison result; wherein the target impact indicator is the impact indicator of the carbon emission impact indicator that is greater than the carbon emission impact threshold; An operation plan for reducing the target operation parameter is determined according to the target impact indicator.

7. The method for formulating a source-grid-load-storage low-carbon operation plan according to claim 1, characterized in that: After the step of determining the corresponding operation plan according to the system operation stability and the carbon emission impact index, the method further includes: Generate an instruction according to the operation plan; wherein the instruction is used to instruct the target energy system to run the operation plan within an estimated time period, and the operation plan is used to reduce target operation parameters.

8. A source-grid-load-storage low-carbon operation plan formulation device, which is applied to the source-grid-load-storage low-carbon operation plan formulation method according to any one of claims 1 to 7, characterized in that: The source-grid-load-storage low-carbon operation plan formulation device comprises: An acquisition module, used to acquire the operating parameters of the target energy system within the target monitoring period; wherein the operating parameters of the target energy system include a first operating parameter on the power supply side, a second operating parameter on the grid side, a third operating parameter on the load side, and a fourth operating parameter on the energy storage side; A first determination module, used to determine the operating performance trend of the target energy system within an estimated time period according to the first operating parameter of the power supply side, the second operating parameter of the grid side, the third operating parameter of the load side and the fourth operating parameter of the energy storage side; A second determination module is used to determine the system operation stability according to the operation performance trend and the carbon emission parameters of the target energy system, and obtain the carbon emission impact index corresponding to each operation parameter; An operation module is used to formulate a corresponding operation plan according to the system operation stability and the carbon emission impact index.

9. An electronic device, characterized in that: It includes a processor and a memory coupled to the processor, the memory storing program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the method for formulating a source-grid-load-storage low-carbon operation plan as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores program instructions, which, when executed by a processor, can implement the method for formulating a source-grid-load-storage low-carbon operation plan as described in any one of claims 1 to 7.

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