Data processing method and device combining power grid load flow calculation and environmental right evaluation

Abstract

The invention provides a data processing method and device combining power grid load flow calculation and environmental right evaluation, and the method comprises the steps: carrying out the power grid load flow analysis of a target power grid, and obtaining a load flow analysis result of the target power grid, and the load flow analysis result is used for indicating the operation state of the target power grid in the operation process of the target power grid; according to the power flow analysis result, an environment right evaluation result of the target power grid is determined by adopting an environment right evaluation model, and the environment right evaluation result is used for indicating the environment influence brought by the target power grid in the operation process of the target power grid; and integrating and analyzing the load flow analysis result and the environmental right evaluation result to generate an evaluation report based on the analysis result. Therefore, by comprehensively considering power grid load flow calculation and environmental right analysis, the environmental influence in power grid operation can be accurately evaluated, so that the dual targets of power grid optimization scheduling and environmental protection are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system and environmental rights and interests analysis, and in particular to a data processing method and device combining power grid flow calculation and environmental rights and interests assessment. Background Art

[0002] Environmental rights and interests refer to the benefits or costs of the impact on the environment during the operation of the power system. Common environmental rights and interests indicators include carbon emissions, energy consumption, and air quality improvement. As global climate change becomes increasingly serious, environmental protection has become a key issue in the power industry. Most of the existing environmental rights and interests assessment methods are based on static analysis or simple models, which make it difficult to effectively consider the dynamic changes of power flow during power grid operation. Summary of the invention

[0003] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, the first purpose of the present invention is to propose a data processing method that combines power grid flow calculation and environmental rights and interests assessment, so as to effectively combine power grid flow calculation and environmental rights and interests assessment and accurately assess the environmental impact of power grid operation.

[0005] The second object of the present invention is to provide a data processing device that combines power grid flow calculation and environmental rights and interests assessment.

[0006] A third objective of the present invention is to provide an electronic device.

[0007] A fourth object of the present invention is to provide a computer-readable storage medium.

[0008] A fifth object of the present invention is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present invention proposes a data processing method combining power grid flow calculation and environmental rights and interests assessment, including:

[0010] Performing a power flow analysis on a target power grid to obtain a power flow analysis result of the target power grid, wherein the power flow analysis result is used to indicate an operating state of the target power grid during the operation of the target power grid;

[0011] According to the power flow analysis result, an environmental rights and interests assessment model is used to determine the environmental rights and interests assessment result of the target power grid, wherein the environmental rights and interests assessment result is used to indicate the environmental impact brought by the target power grid during the operation of the target power grid;

[0012] The power flow analysis results and the environmental rights and interests assessment results are integrated and analyzed to generate an assessment report based on the analysis results.

[0013] To achieve the above-mentioned purpose, a second embodiment of the present invention proposes a data processing device combining power grid flow calculation and environmental rights and interests assessment, including:

[0014] An analysis module, used for performing power flow analysis on a target power grid to obtain a power flow analysis result of the target power grid, wherein the power flow analysis result is used to indicate an operating state of the target power grid during the operation of the target power grid;

[0015] A determination module, configured to determine an environmental rights and interests assessment result of the target power grid using an environmental rights and interests assessment model according to the power flow analysis result, wherein the environmental rights and interests assessment result is used to indicate the environmental impact of the target power grid during the operation of the target power grid;

[0016] The processing module is used to integrate and analyze the power flow analysis results and the environmental rights and interests assessment results to generate an assessment report based on the analysis results.

[0017] To achieve the above object, a third aspect of the present invention provides an electronic device, including:

[0018] at least one processor; and

[0019] a memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0021] In order to achieve the above-mentioned purpose, the fourth aspect of the present invention proposes a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0022] In order to achieve the above-mentioned purpose, a fifth aspect of the present invention provides a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1 A flow chart of a data processing method combining power grid flow calculation and environmental rights and interests assessment provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of the structure of a data processing device combining power grid flow calculation and environmental rights and interests assessment provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0029] Power flow analysis is a basic analysis tool for power grid operation, which is mainly used to calculate the voltage of each node in the power grid, the power flow of each line, and the load distribution of the system. Power flow analysis not only helps power grid operators understand the current power grid status, but also provides basic data for power grid optimization scheduling, load forecasting, power grid stability analysis, etc. In the power system, due to the complex structure of the power grid, power flow analysis often requires the use of nonlinear equation solving methods, such as Newton's method and Gauss-Seidel method.

[0030] However, with the large-scale access of distributed generation, especially renewable energy such as wind and solar power, the complexity of power grid flow has increased dramatically. Traditional power flow calculation methods often ignore the volatility and uncertainty of these new power sources, thus affecting the stability and efficiency of the power grid. Therefore, power grid flow analysis needs to be combined with the operating characteristics of the actual power source for more accurate modeling and calculation.

[0031] Environmental rights and interests refer to the benefits or costs brought about by the impact on the environment during the operation of the power system. Common environmental rights and interests indicators include carbon emissions, energy consumption, and the degree of improvement in air quality. As the problem of global climate change becomes increasingly serious, environmental protection has become a key issue in the power industry. The power industry, especially thermal power generation and the use of coal energy, is one of the main sources of greenhouse gas emissions. Therefore, optimizing power grid operation, reducing carbon emissions, and improving energy efficiency have become the core goals of industry development.

[0032] Most existing environmental rights assessment methods are based on static analysis or simple models, which make it difficult to effectively consider the dynamic changes of power flow during power grid operation. However, power flow fluctuations in the power grid directly affect the flow and distribution of electricity, thereby directly affecting the output, energy consumption and carbon emissions of various types of generators. Therefore, how to effectively combine power grid power flow calculation with environmental rights assessment models is a major challenge in current power system optimization.

[0033] In response to the above problems, the present invention proposes a data processing method and device that combines power grid flow calculation and environmental rights and interests assessment, which can evaluate the impact of power grid operation on the environment in real time based on power grid flow calculation, and accurately evaluate the environmental impact of power grid operation by comprehensively considering power grid flow calculation and environmental rights and interests analysis.

[0034] The present invention relates to the field of power flow calculation and environmental rights assessment in power systems, and can be widely used in multiple fields such as dispatch optimization, environmental impact assessment, power grid planning and management of power systems. In particular, it has important technical significance and application prospects against the background of the gradual increase in the proportion of renewable energy in power systems and the deepening development of smart grids.

[0035] The following describes a data processing method and device combining power grid flow calculation and environmental rights and interests assessment in accordance with an embodiment of the present invention with reference to the accompanying drawings.

[0036] Figure 1 A flowchart of a data processing method combining power grid flow calculation and environmental rights and interests assessment provided by an embodiment of the present invention.

[0037] like Figure 1 As shown, the data processing method combining power grid flow calculation and environmental rights and interests assessment includes the following steps:

[0038] Step 101 , performing power flow analysis on a target power grid to obtain a power flow analysis result of the target power grid, wherein the power flow analysis result is used to indicate an operating state of the target power grid during the operation of the target power grid.

[0039] Among them, the power flow analysis results include parameters such as voltage, current, power flow, and load at each node in the power grid.

[0040] In this embodiment, the power flow analysis mainly calculates the voltage, current, power flow, load and other parameters of each node in the power grid to reveal the real-time operation status of the power grid at a specific moment. The calculation of these parameters relies on complex mathematical models and algorithms that can simulate the physical characteristics and interactions of various components (such as generators, transformers, lines, etc.) in the power grid.

[0041] As a possible implementation method, modern power flow calculation algorithms (such as the Newton-Raphson method, DC power flow algorithm, etc.) can be used, combined with access data of renewable energy sources, to calculate the power flow state of the power grid in real time.

[0042] As a possible implementation method, a mathematical model is used to perform a power flow analysis on non-renewable energy in a target power grid to obtain a power flow analysis result of the non-renewable energy. When the access energy of the target power grid includes renewable energy, a renewable energy output model is used to perform a power flow analysis on the renewable energy in the target power grid to obtain a power flow analysis result of the renewable energy. The power flow analysis result includes the output power of at least one node, the power flow information of at least one line and the load distribution information of at least one node.

[0043] That is to say, for the non-renewable energy part (such as coal, oil, natural gas, etc.) in the target power grid, a mathematical model is used to perform power flow analysis. This process aims to accurately calculate the voltage, current and power distribution of non-renewable energy in the power grid, so as to obtain the power flow analysis results of non-renewable energy. In the case of renewable energy access in the target power grid, a special renewable energy output model is used. This model can accurately simulate the output characteristics of renewable energy (such as wind energy, solar energy, etc.), and determine the power flow state of renewable energy in the power grid accordingly. Through this model, the power flow analysis results of renewable energy in the target power grid can be obtained.

[0044] As a possible implementation method, a mathematical model is used to calculate the voltage information of at least one node corresponding to the non-renewable energy in the target power grid, so as to determine the output power of at least one node based on the voltage information of at least one node; a mathematical model is used to obtain the power flow information of at least one line corresponding to the non-renewable energy in the target power grid through a power flow calculation method; a mathematical model is used to determine the load distribution information of at least one node corresponding to the non-renewable energy in the target power grid based on the load demand of at least one node corresponding to the non-renewable energy in the target power grid.

[0045] As an example, the real-time operation status of the power grid can be obtained through the power flow calculation model. Specifically, it includes:

[0046] Node voltage calculation: Calculate the voltage magnitude and phase at each node in the power grid.

[0047] Power flow calculation: The power flow of each line is obtained through the power flow calculation method.

[0048] Load distribution analysis: Analyze the load distribution of the power grid based on the load demand of each node in the power grid.

[0049] In order to better simulate the dynamic changes of the actual power grid, the flow calculation also needs to take into account the access of renewable energy (such as wind energy, solar energy, etc.). These energies come from unstable and unpredictable natural factors. Therefore, the renewable energy output model of the power grid can be additionally introduced to increase the accuracy of the flow calculation.

[0050] Step 102, according to the power flow analysis result, an environmental rights and interests assessment model is used to determine the environmental rights and interests assessment result of the target power grid, wherein the environmental rights and interests assessment result is used to indicate the environmental impact brought by the target power grid during the operation of the target power grid.

[0051] Among them, the environmental rights and interests assessment model is a multi-dimensional and dynamic assessment model, a tool that comprehensively considers the impact of power grid operation on the environment. It combines the results of power grid flow analysis and detailed data on the environmental impact of different power generation methods (such as fossil fuel power generation, renewable energy power generation, etc.), and evaluates the impact of power grid operation on the environment by calculating traditional environmental impact indicators such as carbon emissions and energy consumption generated by the power grid under specific operating conditions.

[0052] Among them, the results of environmental rights assessment are usually presented in the form of quantitative indicators, such as carbon emissions and energy consumption per unit of electricity generation.

[0053] In this embodiment, the environmental impact generated during the operation of the power grid can be calculated based on the power flow analysis results in combination with the environmental benefit model, and the changes in environmental rights and interests can be dynamically evaluated.

[0054] As a possible implementation method, the environmental rights and interests model includes a carbon emission model, an energy consumption model and an environmental benefit model. According to the output power of at least one node in the target power grid indicated by the power flow analysis results, the carbon emission model is used to determine the carbon emissions of each node; according to the load distribution information of at least one node in the target power grid and the power flow information of at least one line indicated by the power flow analysis results, the energy consumption model is used to determine the energy consumption of each node; according to the power flow analysis results, the environmental benefit model is used to evaluate the environmental benefit indicators of the target power grid, wherein the environmental benefit indicators include air quality indicators and greenhouse gas indicators, the air quality indicators are used to indicate the impact of the target power grid on the air quality, and the greenhouse gas indicators are used to indicate the changes in greenhouse gases produced during the operation of the target power grid; the environmental rights and interests evaluation results are determined based on the carbon emissions and energy consumption of each node, as well as the environmental benefit indicators of the target power grid.

[0055] As an example, an environmental rights assessment model can be constructed, which not only needs to consider traditional environmental impact indicators (such as carbon emissions, energy consumption, etc.), but also incorporates the results of power grid flow calculations to form a multi-dimensional and dynamic assessment model. Specifically, it includes:

[0056] Carbon emission model: Calculate the corresponding carbon emissions based on the power output of various power generation units in the power grid (especially fossil fuel power generation).

[0057] Energy consumption model: Analyze the consumption of various types of electric energy based on the load and power flow of the power grid, with particular attention paid to the proportion of renewable energy used.

[0058] Environmental benefit model: Evaluates the environmental benefits of the power grid under different dispatching conditions, including indicators such as air quality improvement and greenhouse gas reduction.

[0059] The core of this evaluation model is to combine power grid flow data with environmental benefit data, and realize dynamic prediction and optimization of environmental impact through mathematical models.

[0060] Step 103, integrating and analyzing the power flow analysis results and the environmental rights and interests assessment results to generate an assessment report based on the analysis results.

[0061] In this embodiment, the power flow analysis results and environmental rights assessment results can be integrated, and further analysis can be performed using advanced algorithms (such as machine learning, optimization algorithms, etc.), and a detailed assessment report can be generated based on the results of data analysis. Thus, an optimization plan for power grid operation can be provided based on real-time data to help improve power grid operation efficiency and environmental benefits.

[0062] Among them, the evaluation report can be presented in the form of charts, text, etc., to facilitate decision-making support for relevant personnel.

[0063] As a possible implementation method, the power flow analysis results and environmental rights and interests assessment results are integrated according to the target dimension to obtain the target data set; based on the target data set, analysis is performed to obtain operation optimization suggestions for the target power grid; and based on the power flow analysis results, environmental rights and interests assessment results and operation optimization suggestions, an assessment report is generated.

[0064] As an example, operational optimization suggestions may include adjusting the grid structure to improve voltage stability, optimizing dispatch strategies to reduce overload, increasing the proportion of renewable energy access to reduce carbon emissions, etc. These suggestions aim to reduce the negative impact on the environment by improving the operation of the grid, while improving the efficiency and stability of the grid.

[0065] As an example, a comprehensive evaluation report can be generated by combining the results of power flow analysis, environmental rights and interests assessment results, and operation optimization suggestions. This report will record in detail the operation status, environmental impact, and optimization suggestions of the power grid in a specific time period to provide strong data support and decision-making basis. The content of the evaluation report will include but is not limited to: a detailed description of the operation status of the power grid, a quantitative analysis of environmental rights and interests indicators, an analysis of the correlation between power flow analysis results and environmental rights and interests assessment results, the specific content of the operation optimization suggestions, and the potential benefits that may be brought about by implementing these suggestions.

[0066] As a possible implementation method, the target dimension is the time dimension; for any moment, the power flow analysis result at that moment in the target data set is compared with the environmental rights and interests assessment result at that moment to determine the correlation between the power flow analysis result and the environmental rights and interests assessment result at that moment; based on the correlation between the power flow analysis result and the environmental rights and interests assessment result at each moment, the operation optimization suggestions of the target power grid are determined.

[0067] That is to say, for the operation status of the power grid at any specific moment, the power grid operation status data (such as voltage level, current distribution, power flow, etc.) in the power flow analysis results can be compared with the environmental rights and interests indicators (such as carbon emissions, energy consumption, etc.) in the environmental rights and interests assessment results. This comparison aims to reveal whether there is a direct correlation between the operation status of the power grid at a specific moment and its impact on the environment. For example, if the power flow analysis results show that the voltage is unstable or the current is overloaded in a certain area, and at the same time the environmental rights and interests assessment results show that the carbon emissions or energy consumption in the area are high, then it can be preliminarily inferred that there may be a certain correlation between the two, that is, the unstable operation status of the power grid may lead to higher environmental costs. Afterwards, based on the comparison results, the correlation between the power flow analysis results and the environmental rights and interests assessment results at each moment can be further analyzed to identify factors in the operation of the power grid that may lead to increased environmental impacts. Subsequently, based on these analysis results, a series of targeted operation optimization suggestions can be generated.

[0068] As a possible implementation method, an optimization algorithm may also be used to optimize the operation mode of the target power grid, wherein the optimization algorithm includes a genetic algorithm and a particle swarm optimization algorithm.

[0069] As an example, the power grid flow data (flow analysis results) can be integrated with the environmental data (environmental rights and interests assessment results) output by the environmental rights and interests assessment model, and the environmental rights and interests changes of each node and region can be calculated through data processing and analysis algorithms. The specific operations include:

[0070] Data integration: Combine the voltage, current, power flow, load and other data obtained from the power flow calculation with the results of the environmental rights assessment model to form a unified data set.

[0071] Data analysis: Use machine learning, data mining and other technologies to analyze these data and evaluate the environmental impact under different conditions of power grid operation.

[0072] Optimization algorithm: Genetic algorithm, Particle Swarm Optimization (PSO) algorithm, etc. can be introduced to optimize the grid operation mode and further improve environmental benefits.

[0073] In addition, the system can generate a detailed assessment report based on the analysis of the power grid flow and environmental rights and interests assessment results. The content of the assessment report includes:

[0074] Power flow analysis results: such as voltage, current, power flow, load and other parameters of each node in the power grid.

[0075] Environmental benefit assessment results: such as carbon emission reduction, energy consumption savings, air quality improvement, etc.

[0076] Suggestions for optimizing grid operation: such as adjusting grid load distribution, increasing the proportion of renewable energy, etc.

[0077] Decision support: Provide a basis for power dispatching, policy formulation, carbon trading, etc.

[0078] The generation of assessment reports is not only useful for relevant organizations, but can also provide them with important environmental impact data and support the formulation of sustainable development strategies.

[0079] The data processing method combining power grid flow calculation and environmental rights and interests assessment of the embodiment of the present invention performs power grid flow analysis on the target power grid to obtain the power grid flow analysis results of the target power grid, wherein the power grid flow analysis results are used to indicate the operating status of the target power grid during the operation of the target power grid; according to the power grid flow analysis results, an environmental rights and interests assessment model is used to determine the environmental rights and interests assessment results of the target power grid, wherein the environmental rights and interests assessment results are used to indicate the environmental impact of the target power grid during the operation of the target power grid; the power grid flow analysis results and the environmental rights and interests assessment results are integrated and analyzed to generate an assessment report based on the analysis results. Therefore, by comprehensively considering the power grid flow calculation and environmental rights and interests analysis, the environmental impact of the power grid operation can be accurately assessed, thereby achieving the dual goals of power grid optimization scheduling and environmental protection.

[0080] In the related technology, with the development of smart grid technology and the large-scale access of renewable energy, the complexity of power system power flow calculation and environmental rights and interests assessment has greatly increased. Smart grids not only need to monitor various data of the power grid in real time, but also need to dynamically adjust the power flow according to factors such as environmental changes, load fluctuations, and equipment operating status, so as to achieve optimized scheduling. At the same time, smart grids also need to take into account the volatility and unpredictability of renewable energy, which makes the tasks of power grid power flow calculation and environmental rights and interests assessment more complicated. The technical solution of the present invention is compatible with the smart grid system, and through the combination of real-time power grid power flow data and environmental rights and interests model, it provides an accurate environmental impact assessment report, which provides a reference for the optimal scheduling of the power system. At the same time, the results of environmental rights and interests assessment can also provide a reference for power market participants, and promote the smooth operation of market mechanisms such as green power trading and carbon trading.

[0081] In the technical solution of the present invention, power grid flow analysis is the basis for optimizing the dispatching of the power system, especially when considering the power grid structure, energy distribution and load changes, flow analysis is crucial. Environmental rights and interests assessment involves factors such as carbon emissions and energy consumption. In the process of achieving sustainable development, it is of great significance to accurately assess the environmental impact of power grid operation. Since changes in power grid flows directly affect environmental benefits, there is a certain necessity to combine power grid flows with environmental rights and interests. Comprehensively considering the relationship between power grid flows and environmental rights and interests can better achieve green and low-carbon goals.

[0082] The technical solution of the present invention has the following significant advantages and effects:

[0083] 1. Accurately evaluate the environmental impact of power grid operation: By comprehensively considering the power grid flow calculation and the environmental equity model, the present invention can accurately evaluate the changes in environmental equity during the operation of the power grid, especially when renewable energy is gradually increasing, and can provide a more scientific decision-making basis for power grid operation.

[0084] 2. Dynamic optimization of power grid dispatching: The present invention can obtain power grid flow data in real time, and dynamically adjust the operation mode of the power grid in combination with environmental benefit analysis to achieve the goals of optimizing dispatching, reducing carbon emissions and energy consumption.

[0085] 3. Support the formulation of sustainable development strategies: The present invention can provide environmental impact assessment reports to help formulate more scientific and reasonable sustainable development strategies and promote the realization of a green and low-carbon economy.

[0086] 4. Promote the development of smart grids: The present invention can work in conjunction with smart grid systems, combine real-time data of the grid and environmental benefit assessment results, provide intelligent decision-making support, and further enhance the intelligence level of the grid.

[0087] 5. Improve the efficiency of the electricity market: Through quantitative analysis of environmental benefits, the present invention can provide data support for the green electricity market, carbon trading market, etc., and promote the development of market mechanisms such as green electricity trading and carbon emission trading.

[0088] In summary, the present invention can achieve dynamic optimization of power grid operation, help improve the efficiency and environmental benefits of the power grid system, and promote the development of the power industry in a green, low-carbon and sustainable direction.

[0089] In order to implement the above-mentioned embodiment, the present invention further proposes a data processing device combining power grid flow calculation and environmental rights and interests assessment.

[0090] Figure 2 A schematic diagram of the structure of a data processing device combining power grid flow calculation and environmental rights and interests assessment provided by an embodiment of the present invention.

[0091] like Figure 2 As shown, the data processing device combining power grid flow calculation and environmental rights and interests assessment includes: an analysis module 21, a determination module 22 and a processing module 23.

[0092] The analysis module 21 is used to perform power flow analysis on the target power grid to obtain the power flow analysis result of the target power grid, wherein the power flow analysis result is used to indicate the operation state of the target power grid during the operation of the target power grid;

[0093] A determination module 22 is used to determine the environmental rights and interests assessment result of the target power grid using the environmental rights and interests assessment model according to the power flow analysis result, wherein the environmental rights and interests assessment result is used to indicate the environmental impact brought by the target power grid during the operation of the target power grid;

[0094] The processing module 23 is used to integrate and analyze the power flow analysis results and the environmental rights and interests assessment results to generate an assessment report based on the analysis results.

[0095] Furthermore, in a possible implementation of the embodiment of the present invention, the processing module 23 includes:

[0096] An integration unit is used to integrate the power flow analysis results and the environmental rights and interests assessment results according to the target dimension to obtain the target data set;

[0097] A first analysis unit is used to analyze based on the target data set to obtain operation optimization suggestions for the target power grid;

[0098] The generation unit is used to generate an evaluation report based on the power flow analysis results, environmental rights and interests evaluation results and operation optimization suggestions.

[0099] Further, in a possible implementation manner of the embodiment of the present invention, the target dimension is a time dimension; the first analysis unit is specifically configured to:

[0100] For any moment, the power flow analysis results at the target data set at that moment are compared with the environmental rights and interests assessment results at that moment to determine the correlation between the power flow analysis results and the environmental rights and interests assessment results at that moment;

[0101] According to the correlation between the power flow analysis results and the environmental rights and interests assessment results at each moment, the operation optimization suggestions of the target power grid are determined.

[0102] Furthermore, in a possible implementation of the embodiment of the present invention, the environmental equity model includes a carbon emission model, an energy consumption model and an environmental benefit model; the determination module 22 is specifically used to:

[0103] Determine the carbon emission of each node using a carbon emission model according to the output power of at least one node in the target power grid indicated by the power flow analysis result;

[0104] Determine the energy consumption of each node using an energy consumption model based on load distribution information of at least one node in the target power grid and power flow information of at least one line indicated by the power flow analysis result;

[0105] According to the results of power flow analysis, an environmental benefit model is used to evaluate the environmental benefit indicators of the target power grid. The environmental benefit indicators include air quality indicators and greenhouse gas indicators. The air quality indicators are used to indicate the impact of the target power grid on air quality, and the greenhouse gas indicators are used to indicate the changes in greenhouse gases produced during the operation of the target power grid.

[0106] The environmental rights and interests assessment results are determined based on the carbon emissions and energy consumption of each node and the environmental benefit indicators of the target power grid.

[0107] Furthermore, in a possible implementation of the embodiment of the present invention, the analysis module 21 includes:

[0108] The second analysis unit is used to perform power flow analysis on the non-renewable energy in the target power grid using a mathematical model to obtain a power flow analysis result of the non-renewable energy;

[0109] The third analysis unit is used to perform a power flow analysis on the renewable energy in the target power grid using a renewable energy output model when the access energy of the target power grid includes renewable energy, so as to obtain a power flow analysis result of the renewable energy;

[0110] The power flow analysis result includes the output power of at least one node, the power flow information of at least one line and the load distribution information of at least one node.

[0111] Further, in a possible implementation manner of the embodiment of the present invention, the second analysis unit is specifically configured to:

[0112] Using a mathematical model, calculating voltage information of at least one node corresponding to the non-renewable energy in the target power grid, so as to determine the output power of at least one node according to the voltage information of the at least one node;

[0113] Using a mathematical model, power flow information of at least one line corresponding to non-renewable energy in a target power grid is obtained through a power flow calculation method;

[0114] A mathematical model is adopted to determine load distribution information of at least one node corresponding to the non-renewable energy in the target power grid according to the load demand of at least one node corresponding to the non-renewable energy in the target power grid.

[0115] Furthermore, in a possible implementation of the embodiment of the present invention, the above-mentioned device further includes:

[0116] The optimization module is used to optimize the operation mode of the target power grid by using an optimization algorithm, wherein the optimization algorithm includes a genetic algorithm and a particle swarm optimization algorithm.

[0117] It should be noted that the above explanation of the data processing method embodiment combining power grid flow calculation and environmental rights and interests assessment is also applicable to the data processing device combining power grid flow calculation and environmental rights and interests assessment of this embodiment, and will not be repeated here.

[0118] The data processing device combining power grid flow calculation and environmental rights and interests assessment of the embodiment of the present invention performs power grid flow analysis on the target power grid to obtain the power grid flow analysis results of the target power grid, wherein the power grid flow analysis results are used to indicate the operating status of the target power grid during the operation of the target power grid; according to the power grid flow analysis results, the environmental rights and interests assessment results of the target power grid are determined by using the environmental rights and interests assessment model, wherein the environmental rights and interests assessment results are used to indicate the environmental impact brought by the target power grid during the operation of the target power grid; the power grid flow analysis results and the environmental rights and interests assessment results are integrated and analyzed to generate an assessment report based on the analysis results. Therefore, by comprehensively considering the power grid flow calculation and environmental rights and interests analysis, the environmental impact of the power grid operation can be accurately assessed, thereby achieving the dual goals of power grid optimization scheduling and environmental protection.

[0119] In order to implement the above embodiments, the present invention also proposes an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the data processing method combining power grid flow calculation and environmental rights assessment proposed in any of the above embodiments of the present invention.

[0120] Figure 3 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. It should be noted that: Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0121] like Figure 3 As shown, the electronic device may include: a housing 11, a processor 12, a memory 13, a circuit board 14 and a power supply circuit 15, wherein the circuit board 14 is arranged inside the space enclosed by the housing 11, and the processor 12 and the memory 13 are arranged on the circuit board 14; the power supply circuit 15 is used to supply power to various circuits or devices of the above-mentioned electronic device; the memory 13 is used to store executable program codes; the processor 12 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 13, so as to execute the data processing method combining power grid flow calculation and environmental rights and interests assessment proposed in any of the above-mentioned embodiments of the present invention.

[0122] For details on the specific execution process of the above steps by the processor 12 and the steps further executed by the processor 12 by running the executable program code, please refer to the present invention. Figure 1 The description of the illustrated embodiment will not be repeated here.

[0123] In order to implement the above embodiments, the present invention also proposes a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute a data processing method combining power grid flow calculation and environmental rights assessment proposed in any of the above embodiments of the present invention.

[0124] In order to implement the above embodiments, the present invention also proposes a computer program product, including a computer program, which, when executed by a processor, implements the data processing method combining power grid flow calculation and environmental rights assessment proposed in any of the above embodiments of the present invention.

[0125] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0126] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0127] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0128] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0129] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0130] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0131] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0132] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A data processing method combining power grid flow calculation and environmental rights assessment, characterized in that: include: Performing a power flow analysis on a target power grid to obtain a power flow analysis result of the target power grid, wherein the power flow analysis result is used to indicate an operating state of the target power grid during the operation of the target power grid; According to the power flow analysis result, an environmental rights and interests assessment model is used to determine the environmental rights and interests assessment result of the target power grid, wherein the environmental rights and interests assessment result is used to indicate the environmental impact brought by the target power grid during the operation of the target power grid; The power flow analysis results and the environmental rights and interests assessment results are integrated and analyzed to generate an assessment report based on the analysis results.

2. The method according to claim 1, characterized in that The integration and analysis of the power flow analysis results and the environmental rights and interests assessment results to generate an assessment report based on the analysis results includes: Integrate the power flow analysis results and the environmental rights and interests assessment results according to the target dimension to obtain a target data set; Analyzing the target data set to obtain operation optimization suggestions for the target power grid; The evaluation report is generated according to the power flow analysis results, the environmental rights and interests evaluation results and the operation optimization suggestions.

3. The method according to claim 2, characterized in that The target dimension is a time dimension; and the step of analyzing based on the target data set to generate operation optimization suggestions for the target power grid includes: For any moment, the power flow analysis result at the moment in the target data set is compared with the environmental rights and interests assessment result at the moment to determine the correlation relationship between the power flow analysis result and the environmental rights and interests assessment result at the moment; According to the correlation between the power flow analysis results and the environmental rights and interests assessment results at each of the moments, an operation optimization suggestion for the target power grid is determined.

4. The method according to claim 1, characterized in that: The environmental rights and interests model includes a carbon emission model, an energy consumption model and an environmental benefit model; the environmental rights and interests evaluation model is used to determine the environmental rights and interests evaluation result of the target power grid according to the power flow analysis result, including: Determining the carbon emission of each node using the carbon emission model according to the output power of at least one node in the target power grid indicated by the power flow analysis result; Determining the energy consumption of each of the nodes using the energy consumption model according to the load distribution information of at least one node in the target power grid and the power flow information of at least one line indicated by the power flow analysis result; According to the power flow analysis result, the environmental benefit model is used to evaluate the environmental benefit index of the target power grid, wherein the environmental benefit index includes an air quality index and a greenhouse gas index, the air quality index is used to indicate the degree of influence of the target power grid on air quality, and the greenhouse gas index is used to indicate the change of greenhouse gas produced during the operation of the target power grid; The environmental rights and interests assessment result is determined based on the carbon emissions and energy consumption of each of the nodes and the environmental benefit indicators of the target power grid.

5. The method according to claim 1, characterized in that The performing power flow analysis on the target power grid to obtain the power flow analysis result of the target power grid includes: Using a mathematical model to perform power flow analysis on the non-renewable energy in the target power grid to obtain a power flow analysis result of the non-renewable energy; In the case where the access energy of the target power grid includes renewable energy, a renewable energy output model is used to perform power flow analysis on the renewable energy in the target power grid to obtain a power flow analysis result of the renewable energy; The power flow analysis result includes the output power of at least one node, the power flow information of at least one line and the load distribution information of at least one node.

6. The method according to claim 5, characterized in that The method of using a mathematical model to perform power flow analysis on the non-renewable energy in the target power grid to obtain a power flow analysis result of the non-renewable energy includes: Using the mathematical model, calculating voltage information of at least one node corresponding to the non-renewable energy in the target power grid, so as to determine the output power of the at least one node according to the voltage information of the at least one node; Using the mathematical model, obtaining power flow information of at least one line corresponding to the non-renewable energy in the target power grid through a power flow calculation method; The mathematical model is used to determine load distribution information of at least one node corresponding to the non-renewable energy in the target power grid according to the load demand of at least one node corresponding to the non-renewable energy in the target power grid.

7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: An optimization algorithm is used to optimize the operation mode of the target power grid, wherein the optimization algorithm includes a genetic algorithm and a particle swarm optimization algorithm.

8. A data processing device combining power grid flow calculation and environmental rights assessment, characterized in that: include: An analysis module, used for performing power flow analysis on a target power grid to obtain a power flow analysis result of the target power grid, wherein the power flow analysis result is used to indicate an operating state of the target power grid during the operation of the target power grid; A determination module, configured to determine an environmental rights and interests assessment result of the target power grid using an environmental rights and interests assessment model according to the power flow analysis result, wherein the environmental rights and interests assessment result is used to indicate the environmental impact of the target power grid during the operation of the target power grid; The processing module is used to integrate and analyze the power flow analysis results and the environmental rights and interests assessment results to generate an assessment report based on the analysis results.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 7.

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