Method and system for evaluating interaction effect of optical storage and direct flexible system and power grid

Abstract

The present application belongs to the technical field of smart grid and building energy saving, and particularly relates to a method and system for evaluating the interaction effect of a light-storage-direct-flexible system and a power grid, comprising: obtaining historical operation data of a target light-storage-direct-flexible system; obtaining a baseline operation curve of the light-storage-direct-flexible system when there is no active interaction demand of the power grid according to the historical operation data; obtaining real-time operation data of the light-storage-direct-flexible system after responding to an interaction instruction of the power grid, and obtaining an interaction response operation curve; calculating various performance indexes of the light-storage-direct-flexible system in the interaction process of the power grid according to the baseline operation curve and the interaction response operation curve; configuring weights for the various performance indexes, and comprehensively calculating the performance indexes by combining a weighted scoring model to obtain a comprehensive evaluation index system of the interaction effect of the light-storage-direct-flexible system and the power grid; and scoring the interaction effect of the light-storage-direct-flexible system and the power grid according to the comprehensive evaluation index system to complete the evaluation of the interaction effect of the light-storage-direct-flexible system and the power grid.

Description

Technical Field

[0001] This invention belongs to the field of smart grid and building energy conservation technology, specifically relating to an evaluation method and system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] With the advancement of the "dual carbon" goals, building a new power system based on new energy sources has become an inevitable trend. As a key energy-consuming sector, the building sector's power supply and consumption systems are developing towards a "photovoltaic-storage-DC-flexible" model that integrates distributed photovoltaic (P), energy storage (E), DC distribution (D), and flexible loads (F). This not only improves the renewable energy absorption rate of buildings themselves but also serves as an important flexible and adjustable resource on the grid side, participating in ancillary services such as demand response and peak shaving, thereby enhancing the flexibility and stability of the power grid.

[0004] However, there is currently a lack of systematic and scientific evaluation methods for the interaction effects between "photovoltaic-storage-DC-flexible" systems and the power grid. Existing research often focuses on single technical indicators (such as self-consumption rate) or economic analysis, failing to conduct a comprehensive evaluation from multiple dimensions such as system energy efficiency, operational reliability, economic benefits, and environmental benefits. This makes it difficult to accurately measure the effectiveness of interaction strategies, hindering the optimization of system operation and the exploitation of interaction potential, while also impeding the design and implementation of relevant incentive policies and market mechanisms. Summary of the Invention

[0005] To address the aforementioned issues, this invention proposes an evaluation method and system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid. This method objectively and comprehensively assesses the effectiveness of the photovoltaic-storage-DC-flexible system in participating in grid demand response, ancillary services, and other interactive behaviors. Furthermore, it scientifically evaluates the overall performance of the system in grid interaction, providing a scientific basis for system optimization design, operation strategy formulation, and incentive policy implementation.

[0006] According to some embodiments, the first aspect of the present invention provides a method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid, employing the following technical solution: A method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid includes: Acquire historical operational data of the target optical-storage-direct-drive-flexible system; The baseline operating curve of the photovoltaic-storage-DC-flexible system under the condition of no active grid interaction demand is obtained based on the acquired historical operating data; Obtain real-time operating data of the photovoltaic-storage-DC-flexible system after responding to grid interaction commands to obtain the interaction response operating curve; Based on the obtained baseline operating curve and interactive response operating curve, calculate various performance indicators of the photovoltaic-storage-DC-flexible system during the grid interaction process; Weights are assigned to the obtained performance indicators, and a comprehensive evaluation index system for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid is obtained by combining the weighted scoring model to perform comprehensive calculation of the performance indicators. The effectiveness of the interaction between the photovoltaic-storage-DC-flexible system and the power grid is evaluated based on the obtained comprehensive evaluation index system, thus completing the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

[0007] As a further technical limitation, in the process of calculating various performance indicators of the photovoltaic-storage-DC-flexible system during grid interaction, the obtained baseline operating curve and interaction response operating curve are compared. The recovery time and energy loss are used as elasticity indicators for dual-dimensional quantification. The deviation and recovery before and after grid interaction are quantified, and at least the energy efficiency evaluation index, operation stability index, economic benefit evaluation index and environmental impact evaluation index of the photovoltaic-storage-DC-flexible system are obtained, thus completing the calculation of various performance indicators of the photovoltaic-storage-DC-flexible system during grid interaction.

[0008] Furthermore, the process of using recovery time and energy loss as elasticity indicators for dual-dimensional quantification is as follows: Based on the obtained baseline operating curve or the normal operating parameter range of the photovoltaic-storage-DC-flexible system, determine the target value or target range for grid recovery; When the power grid recovery target value or target range is exceeded, that is, when the event triggering condition is exceeded, a power grid fault or power fluctuation occurs. Real-time detection of key parameters during the recovery process of power grid faults or power fluctuations; calculation of recovery time and energy loss during power grid faults or power fluctuations; and completion of two-dimensional quantification.

[0009] Furthermore, the energy efficiency evaluation indicators of the photovoltaic-storage-DC-flexible system include at least the photovoltaic self-consumption rate and energy self-sufficiency rate; the operation stability indicators include at least the DC bus voltage stability and system resilience; the economic benefit evaluation indicators include at least the net revenue increment generated by participating in grid interaction; and the environmental impact evaluation indicators include at least the equivalent carbon emission reduction.

[0010] As a further technical limitation, the net load power data of the photovoltaic-storage-DC-flexible system under typical operating conditions and without being affected by special grid dispatch instructions are used to generate a baseline curve of the system's net load and the AC grid interaction power during the evaluation period through statistical analysis or simulation prediction. This yields the baseline operating curve of the photovoltaic-storage-DC-flexible system when there is no active grid interaction demand.

[0011] As a further technical limitation, the weight configuration of each performance index is calculated using the analytic hierarchy process or the entropy weight method. The weights are dynamically adjusted based on real-time power grid signals and an adaptive mechanism based on learning feedback. The weighted sum of each performance index and its weight is then performed to complete the comprehensive calculation of the performance index.

[0012] According to some embodiments, the second aspect of the present invention provides an evaluation system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid, employing the following technical solution: An evaluation system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid includes: The acquisition module is configured to acquire historical operating data of the target optical-storage-direct-drive-flexible system; The module is configured to obtain the baseline operating curve of the photovoltaic-storage-DC-flexible system when there is no active grid interaction demand based on the acquired historical operating data; and to obtain the real-time operating data of the photovoltaic-storage-DC-flexible system after responding to grid interaction commands to obtain the interaction response operating curve. The calculation module is configured to calculate various performance indicators of the photovoltaic-storage-DC-flexible system in the grid interaction process based on the obtained baseline operating curve and interactive response operating curve; assign weights to the obtained performance indicators, and perform comprehensive calculation of the performance indicators in combination with the weighted scoring model to obtain a comprehensive evaluation index system for the interaction effect between the photovoltaic-storage-DC-flexible system and the grid. The evaluation module is configured to score the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid based on the obtained comprehensive evaluation index system, and complete the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

[0013] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium, employing the following technical solution: A computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in the first aspect of the present invention.

[0014] According to some embodiments, the fourth aspect of the present invention provides an electronic device, which adopts the following technical solution: An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements the steps in the method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in the first aspect of the present invention.

[0015] According to some embodiments, the fifth aspect of the present invention provides a computer program product, which adopts the following technical solution: A computer program product includes software code, wherein the program in the software code performs the steps in the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid as described in the first aspect of the present invention.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention establishes an indicator system from four core dimensions: energy, stability, economy, and environment. Through multi-dimensional comprehensive evaluation, it obtains a complete evaluation result. By comparing baseline and actual response curves, combined with on-site test data, the evaluation process becomes quantifiable and the results more objective. The obtained evaluation results can be directly used to diagnose shortcomings in system interaction performance, optimize control strategies and capacity configuration, and provide data support for formulating incentive policies such as electricity price subsidies and market access. The proposed evaluation method is applicable to various buildings equipped with "photovoltaic-storage-DC-flexible" systems (such as offices, residences, and industrial plants) to evaluate their effectiveness in participating in different grid interaction modes. Attached Figure Description

[0017] The accompanying drawings, which form part of this embodiment, are used to provide a further understanding of this embodiment. The illustrative embodiments and their descriptions are used to explain this embodiment and do not constitute an improper limitation of this embodiment.

[0018] Figure 1 This is a flowchart of the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid in Embodiment 1 of the present invention; Figure 2 This is a detailed schematic diagram illustrating the steps of the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid in Embodiment 1 of the present invention; Figure 3 This is a schematic diagram of the comprehensive evaluation index system in Embodiment 1 of the present invention; Figure 4(a) is a schematic diagram of the power and DC bus voltage changes of each component in Embodiment 1 of the present invention; Figure 4(b) is a schematic diagram comparing the power adjustment changes of each component in Embodiment 1 of the present invention; Figure 5 This is a schematic diagram of the comprehensive evaluation spider web in Embodiment 1 of the present invention; Figure 6 This is a schematic diagram illustrating the dynamically adjustable weights in Embodiment 1 of the present invention; Figure 7 This is a schematic diagram of the visualization output system in Embodiment 1 of the present invention; Figure 8 This is a structural block diagram of the evaluation system for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid in Embodiment 2 of the present invention. Detailed Implementation

[0019] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0020] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0021] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0022] In this invention, terms such as "upper," "lower," "left," "right," "front," "back," "vertical," "horizontal," "side," and "bottom" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used only to facilitate the description of the structural relationships of the various components or elements of this invention and do not specifically refer to any component or element in this invention. They should not be construed as limiting the invention.

[0023] In this invention, terms such as "fixed connection," "connected," and "linked" should be interpreted broadly, indicating a fixed connection, an integral connection, or a detachable connection; a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can determine the specific meaning of these terms in this invention based on the specific circumstances, and they should not be construed as limitations on the invention.

[0024] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0025] Example 1 Embodiment 1 of this invention introduces a method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid.

[0026] like Figure 1 The method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid, as shown, includes: Acquire historical operational data of the target optical-storage-direct-drive-flexible system; The baseline operating curve of the photovoltaic-storage-DC-flexible system under the condition of no active grid interaction demand is obtained based on the acquired historical operating data; Obtain real-time operating data of the photovoltaic-storage-DC-flexible system after responding to grid interaction commands to obtain the interaction response operating curve; Based on the obtained baseline operating curve and interactive response operating curve, calculate various performance indicators of the photovoltaic-storage-DC-flexible system during the grid interaction process; Weights are assigned to the obtained performance indicators, and a comprehensive evaluation index system for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid is obtained by combining the weighted scoring model to perform comprehensive calculation of the performance indicators. The effectiveness of the interaction between the photovoltaic-storage-DC-flexible system and the power grid is evaluated based on the obtained comprehensive evaluation index system, thus completing the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

[0027] like Figure 2 As shown, the steps of the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid in this embodiment are as follows: Step S1: Construct a comprehensive evaluation index system; Step S2: Data acquisition, which involves collecting historical operating data of the photovoltaic-storage-DC-flexible system (including photovoltaic output, load power, energy storage charging and discharging power, grid-connected power, DC bus voltage, etc.), and quantifying the adjustment characteristics and capabilities of the flexible load through on-site testing (such as interruptible, adjustable, and transferable load testing). Step S3: Establish a baseline curve, that is, based on historical data, analyze the typical operating characteristics of the photovoltaic-storage-DC-flexible system without external interaction commands, and establish a baseline curve for net load (or power interaction with the grid). Step S4: Establish interactive response curves, that is, record and analyze the operating data of the photovoltaic-storage-DC-flexible system during the response to specific grid interaction commands (such as peak shaving, valley filling, constant power, etc.) to form interactive response curves; Step S5: Calculate the index values, that is, compare the baseline curve and the interactive response curve, and combine the running and test data to calculate the values ​​of each specific index defined in step S1. Step S6: Comprehensive scoring, which involves using methods such as the analytic hierarchy process (AHP) to determine the weights of each indicator, calculating the comprehensive score through models such as weighted summation, obtaining the interaction effect level, and generating a visual report to complete the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

[0028] As one or more implementation methods, the comprehensive evaluation index system constructed in step S1 is shown in Table 1 and Figure 3 As shown, it includes four dimensions: 1) Energy efficiency evaluation indicators for photovoltaic-storage-DC-flexible systems, such as photovoltaic self-consumption rate and energy self-sufficiency rate; 2) Operational stability indicators, such as DC bus voltage stability and system resilience; 3) Economic benefit evaluation indicators, such as the increase in net revenue from interactions; 4) Environmental impact assessment indicators, such as the equivalent reduction in carbon emissions.

[0029] Table 1 Example of Evaluation Index System

[0030] It should be noted that, as shown in Table 1, this embodiment sets four primary indicators, namely system energy efficiency, operational stability, economic effect and environmental impact. Each primary indicator is further divided into secondary indicators, such as photovoltaic self-consumption rate, energy self-sufficiency rate; DC bus voltage stability, system resilience; net revenue increment; and equivalent carbon emission reduction.

[0031] It should be noted that the formula for the photovoltaic self-consumption rate in this embodiment is: Photovoltaic self-consumption rate = (Photovoltaic power generation consumed by the system itself during the evaluation period / Total photovoltaic power generation of the system during the evaluation period) × 100%; The formula for calculating the energy self-sufficiency rate is: Energy self-sufficiency rate = (Electricity consumption of load supplied by local photovoltaic and energy storage during the evaluation period / Total load electricity consumption of the system during the evaluation period) × 100%.

[0032] This embodiment defines the evaluation object as "the change in the overall effect of the photovoltaic-storage-DC-flexible system due to the execution of grid interaction commands." All secondary indicators in the indicator system are designed and calculated to quantify the "change" or "difference" in the overall effect. For example: The economic benefit indicator is not "total revenue" but "net revenue increment", emphasizing the additional benefits brought about by interactive behavior; The environmental impact indicator is not the "total emission reduction", but the "equivalent carbon emission reduction due to interaction" calculated by comparing the difference in electricity taken from the grid during the baseline period and the response period. The resilience index of a photovoltaic-storage-direct-drive-flexible system specifically refers to the recovery process and losses of the system's state after the interactive command ends, compared to the baseline operating state. It directly measures the disturbance of the interactive behavior to the subsequent operation of the system.

[0033] Existing index calculations are usually based on independent calculations of single time-series data, and the relationship between indexes and evaluations is a loose "calculation-summary" relationship. In this embodiment, the DC bus voltage stability does not evaluate the voltage quality around the clock, but specifically refers to the magnitude and duration of voltage deviation from the reference "during the interactive response". The elastic "recovery time" of the photovoltaic-storage DC-flexible system starts at the end of the interactive command and ends at the return to the normal state represented by the reference curve. Its "energy loss" is the energy difference between the actual operating trajectory and the reference curve.

[0034] The comprehensive evaluation index system in this embodiment is realized by combining it with the "benchmark-response" dynamic comparison framework, together forming an inseparable, closed-loop evaluation technology; it can achieve "quantification of the net effect of interaction". This embodiment accurately transfers and redefines the concept of "resilience" in the power system field from the scenario of responding to extreme disasters, and defines it as a key indicator for evaluating the recovery capability of the photovoltaic-storage-DC-flexible system after planned and periodic grid interaction, directly assessing the "flexibility" and "sustainability" of the interaction strategy.

[0035] As one or more implementation methods, the field testing of flexible loads in this embodiment includes at least the following: Interruptible load testing involves disconnecting a specified load within a preset time and recording the system power changes and the status after the load is restored. Adjustable load test, that is, adjust the power of the specified load within a preset range, and record its power adjustment range, response time, and adjustment accuracy; Transferable load test, that is, change the operating period of the specified load, and record its power transfer ability and the impact on user comfort.

[0036] As one or more embodiments, in this embodiment, based on the net load power data of the photovoltaic-storage-direct-current-soft system under typical working conditions and during the period not affected by special grid dispatching instructions, through statistical analysis or simulation prediction, a reference curve of the interactive power between the system net load and the AC power grid within the evaluation period is generated, that is, the reference operation curve of the photovoltaic-storage-direct-current-soft system without active grid interaction requirements is obtained; extract the actual operation data of the photovoltaic-storage-direct-current-soft system after responding to the grid interaction instruction to form an interaction response curve; compare the reference operation curve and the interaction response curve, and combine the operation data and on-site test data to calculate the specific values of each index.

[0037] In this embodiment, "recovery time and energy loss" is used as an elasticity index. Specifically: Define "predetermined normal operating state", that is, based on the reference operation curve or the normal operating parameter range of the photovoltaic-storage-direct-current-soft system (such as voltage, power, etc.), determine the recovery target value or target range (such as the DC bus voltage is restored within ±5% of the rated value); Determine the event trigger conditions, that is, grid faults (such as voltage sags, frequency abnormalities) or significant power fluctuations (such as sudden drops in photovoltaic output, sudden connection of high-power loads); Monitor the key parameters of the recovery process, that is, the DC bus voltage (as shown in Figure 4(a)), the change in net load power (that is, the interactive power with the grid, as shown in Figure 4(b)), and the power supply status of key loads; Calculate the recovery time, that is, recovery time = T(end of recovery) - T(end of fault / start of response); where, T(end of recovery) is the time point when all key parameters of the photovoltaic-storage-direct-current-soft system are restored to the predetermined normal operating range; T(end of fault / start of response) is the fault clearing time or the time point when the system starts to recover; Calculate the energy loss, that is, energy loss = ∫[from T(start) to T(end)] [P_reference(t) - P_actual(t)]dt; where, P_reference(t) is the power corresponding to the reference operation curve; P_actual(t) is the actual operating power; when P_actual < P_reference, it is considered that there is insufficient energy supply.

[0038] This embodiment extends "system resilience" from traditional fault recovery scenarios to grid interaction scenarios (such as peak shaving and valley filling demand response), evaluating the system's rapid recovery capability after executing grid commands; it uses parameters such as load adjustability and response time obtained from field tests to predict and assess system resilience, improving the accuracy and practicality of the evaluation; the evaluation results directly serve system optimization and operation strategy formulation, helping to identify key factors affecting resilience (such as insufficient energy storage capacity and poor load regulation capability).

[0039] The process of calculating various performance indicators includes: (1) Calculate the proportion of the total photovoltaic power generation of the system consumed by local load, energy storage and adjusted charging piles during the response period; (2) Calculate the proportion of the total electricity consumption of the load supplied by local photovoltaic and energy storage discharge during the response period; (3) The time and maximum deviation of the DC bus voltage exceeding ±5% of the rated voltage range during the statistical response period; (4) Observe the time required for the main system parameters (such as net load and bus voltage) to recover to near the baseline level within 30 minutes after the peak shaving command ends, and the overshoot situation; (5) Calculate the electricity cost savings based on the peak reduction amount, peak-valley electricity price difference and possible subsidy policies, and estimate the cost of the potential impact of frequent adjustments on equipment lifespan, and calculate the net benefit. (6) Calculate the equivalent emission reduction based on the reduced peak electricity consumption of the power grid and the local power grid average carbon emission factor.

[0040] As one or more implementation methods, this embodiment uses the analytic hierarchy process (AHP) or entropy weight method to calculate the weight configuration of each performance index. The weights are dynamically adjusted based on real-time power grid signals and an adaptive mechanism based on learning feedback. A weighted scoring model is used to sum the weights of each performance index and its weight, completing the comprehensive calculation of the performance indicators. The resulting comprehensive calculation is then visualized and output in the form of scores, grades, or radar charts (e.g.,...). Figure 5 The comprehensive evaluation spider web shown generates a key indicator comparison and analysis report.

[0041] This embodiment uses, as follows: Figure 6 The weight configuration is performed using a multi-input, configurable, and scene-adaptive dynamic weight adjustment method, as shown in the diagram. Specifically: (1) Switching between preset schemes based on scenarios Establish a weight scheme library and preset weight combinations for different scenarios: Weighting scheme = { "Peak shaving scenario": {"Energy efficiency": 0.25, "Stability": 0.20, "Economy": 0.40, "Environment": 0.15}, "Grain Filling Scenarios": {"Energy Efficiency": 0.30, "Stability": 0.25, "Economy": 0.30, "Environment": 0.15}, "Frequency Regulation": {"Energy Efficiency":0.20, "Stability":0.35, "Economy":0.25, "Environment":0.20}, "Owner's Economic Priority": {"Energy Efficiency": 0.20, "Stability": 0.20, "Economy": 0.50, "Environment": 0.10}} (2) Dynamic adjustment based on real-time signals Introduce grid status signals (such as real-time electricity price, system frequency, and congestion level) as adjustment factors: Economic weight adjustment amount = k1 × (real-time electricity price - benchmark electricity price) / benchmark electricity price; Environmental weight adjustment = k2 × (grid carbon intensity - target carbon intensity) / target carbon intensity; Where k1 and k2 are adjustment coefficients.

[0042] (3) Adaptive mechanism based on learning feedback Optimize weight allocation by taking into account feedback from historical evaluation results; if a certain indicator consistently scores low, its weight should be appropriately reduced (to avoid "one-vote veto"); if a change in the interaction strategy leads to an increase in the importance of a certain indicator, its weight should be increased accordingly.

[0043] like Figure 7 As shown, this embodiment employs a multi-layered, multi-dimensional, and interactive visualization output system, specifically: (1) Enhanced applications of radar charts (spider charts) Multi-system comparison, that is, superimposing multiple systems or multiple evaluation results on the same radar chart; Threshold areas are displayed, namely the standard areas marked "Excellent", "Good", and "Pass". Dynamic change trajectory, that is, using animation to show the change path of system evaluation results over time or strategy optimization; (2) Visualization of benchmark-response curve comparison The dual Y-axis design displays power values ​​on the left and key indicators (such as voltage and self-absorption rate) on the right. Event labeling involves marking key event points such as the start / end of an interaction and load testing on a curve. Differential shading fill is the process of filling the area where the reference curve and the response curve differ using different colored shading. (3) Interactive dashboard Indicator correlation analysis means that clicking on a dimension of the radar chart will automatically display detailed indicator charts for that dimension. Timeline exploration, which involves sliding the timeline to dynamically view the changes in evaluation results; Hypothetical analysis tools allow for the real-time prediction of changes in total score and grade by adjusting a certain indicator value.

[0044] This embodiment addresses the adaptability issue of evaluation standards through dynamically adjustable weights, enabling the same evaluation method to adapt to the differentiated needs of different scenarios and subjects; visual output solves the comprehensibility issue of evaluation results, making complex multi-dimensional evaluation results easy to understand and disseminate through intuitive charts and interactive functions; comprehensive evaluation and grading solve the operability issue of evaluation conclusions, providing not only evaluation results but also diagnostic analysis and improvement suggestions, directly guiding system optimization and policy formulation.

[0045] This embodiment establishes an indicator system from four core dimensions: energy, stability, economy, and environment. A comprehensive evaluation is obtained through multi-dimensional integrated assessment. By comparing baseline and actual response curves with on-site test data, the evaluation process becomes quantifiable and the results more objective. The obtained evaluation results can be directly used to diagnose shortcomings in system interaction performance, optimize control strategies and capacity configuration, and provide data support for formulating incentive policies such as electricity price subsidies and market access. The proposed evaluation method is applicable to various buildings (such as offices, residences, and industrial plants) equipped with "photovoltaic-storage-DC-flexible" systems, evaluating their effectiveness in participating in different grid interaction modes.

[0046] Example 2 Embodiment 2 of this invention introduces an evaluation system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid.

[0047] like Figure 8 An evaluation system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid is shown, comprising: The acquisition module is configured to acquire historical operating data of the target optical-storage-direct-drive-flexible system; The module is configured to obtain the baseline operating curve of the photovoltaic-storage-DC-flexible system when there is no active grid interaction demand based on the acquired historical operating data; and to obtain the real-time operating data of the photovoltaic-storage-DC-flexible system after responding to grid interaction commands to obtain the interaction response operating curve. The calculation module is configured to calculate various performance indicators of the photovoltaic-storage-DC-flexible system in the grid interaction process based on the obtained baseline operating curve and interactive response operating curve; assign weights to the obtained performance indicators, and perform comprehensive calculation of the performance indicators in combination with the weighted scoring model to obtain a comprehensive evaluation index system for the interaction effect between the photovoltaic-storage-DC-flexible system and the grid. The evaluation module is configured to score the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid based on the obtained comprehensive evaluation index system, and complete the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

[0048] The detailed steps are the same as the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid provided in Example 1, and will not be repeated here.

[0049] Example 3 Embodiment 3 of the present invention provides a computer-readable storage medium.

[0050] A computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the evaluation method for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in Embodiment 1 of the present invention.

[0051] The detailed steps are the same as the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid provided in Example 1, and will not be repeated here.

[0052] Example 4 Embodiment 4 of the present invention provides an electronic device.

[0053] An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements the steps in the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid as described in Embodiment 1 of the present invention.

[0054] The detailed steps are the same as the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid provided in Example 1, and will not be repeated here.

[0055] Example 5 Embodiment 5 of the present invention provides a computer program product.

[0056] A computer program product includes software code, wherein the program in the software code performs the steps in the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid as described in Embodiment 1 of the present invention.

[0057] The detailed steps are the same as the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid provided in Example 1, and will not be repeated here.

[0058] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0059] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0060] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0061] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0062] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0063] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

[0064] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.

Claims

1. A method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid, characterized in that, include: Acquire historical operational data of the target optical-storage-direct-drive-flexible system; The baseline operating curve of the photovoltaic-storage-DC-flexible system under the condition of no active grid interaction demand is obtained based on the acquired historical operating data; Obtain real-time operating data of the photovoltaic-storage-DC-flexible system after responding to grid interaction commands to obtain the interaction response operating curve; Based on the obtained baseline operating curve and interactive response operating curve, calculate various performance indicators of the photovoltaic-storage-DC-flexible system during the grid interaction process; Weights are assigned to the obtained performance indicators, and a comprehensive evaluation index system for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid is obtained by combining the weighted scoring model to perform comprehensive calculation of the performance indicators. The effectiveness of the interaction between the photovoltaic-storage-DC-flexible system and the power grid is evaluated based on the obtained comprehensive evaluation index system, thus completing the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

2. The method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in claim 1, characterized in that, In calculating the various performance indicators of the photovoltaic-storage-DC-flexible system during grid interaction, the baseline operating curve and the interaction response operating curve are compared. The recovery time and energy loss are used as elasticity indicators for dual-dimensional quantification. The deviation and recovery before and after grid interaction are quantified, and at least the energy efficiency evaluation index, operation stability index, economic benefit evaluation index and environmental impact evaluation index of the photovoltaic-storage-DC-flexible system are obtained. The calculation of various performance indicators of the photovoltaic-storage-DC-flexible system during grid interaction is completed.

3. The method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in claim 2, characterized in that, The process of using recovery time and energy loss as elasticity indicators for dual-dimensional quantification is as follows: Based on the obtained baseline operating curve or the normal operating parameter range of the photovoltaic-storage-DC-flexible system, determine the target value or target range for grid recovery; When the power grid recovery target value or target range is exceeded, that is, when the event triggering condition is exceeded, a power grid fault or power fluctuation occurs. Real-time detection of key parameters during the recovery process of power grid faults or power fluctuations; calculation of recovery time and energy loss during power grid faults or power fluctuations; and completion of two-dimensional quantification.

4. The method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in claim 2, characterized in that, The energy efficiency evaluation indicators for the photovoltaic-storage-DC-flexible system include at least the photovoltaic self-consumption rate and energy self-sufficiency rate; the operational stability indicators include at least the DC bus voltage stability and system resilience; the economic benefit evaluation indicators include at least the net revenue increment generated from participating in grid interaction; and the environmental impact evaluation indicators include at least the equivalent reduction in carbon emissions.

5. The method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in claim 1, characterized in that, Using the net load power data of the photovoltaic-storage-DC-flexible system under typical operating conditions and without being affected by special grid dispatch instructions, a baseline curve of the system's net load and the AC grid interaction power within the evaluation period is generated through statistical analysis or simulation prediction. This yields the baseline operating curve of the photovoltaic-storage-DC-flexible system when there is no active grid interaction demand.

6. The method for evaluating the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid as described in claim 1, characterized in that, The weights of various performance indicators are calculated using the analytic hierarchy process (AHP) or the entropy weight method. The weights are dynamically adjusted based on real-time power grid signals and an adaptive mechanism based on learning feedback. The weighted sum of each performance indicator and its weight is then performed to complete the comprehensive calculation of the performance indicators.

7. An evaluation system for the interaction effect between a photovoltaic-storage-DC-flexible system and the power grid, characterized in that, include: The acquisition module is configured to acquire historical operating data of the target optical-storage-direct-drive-flexible system; The module is configured to obtain the baseline operating curve of the photovoltaic-storage-DC-flexible system when there is no active grid interaction demand based on the acquired historical operating data; and to obtain the real-time operating data of the photovoltaic-storage-DC-flexible system after responding to grid interaction commands to obtain the interaction response operating curve. The calculation module is configured to calculate various performance indicators of the photovoltaic-storage-DC-flexible system in the grid interaction process based on the obtained baseline operating curve and interactive response operating curve; assign weights to the obtained performance indicators, and perform comprehensive calculation of the performance indicators in combination with the weighted scoring model to obtain a comprehensive evaluation index system for the interaction effect between the photovoltaic-storage-DC-flexible system and the grid. The evaluation module is configured to score the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid based on the obtained comprehensive evaluation index system, and complete the evaluation of the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid as described in any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the steps of the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid as described in any one of claims 1-6.

10. A computer program product, comprising software code, characterized in that, The program in the software code executes the steps of the evaluation method for the interaction effect between the photovoltaic-storage-DC-flexible system and the power grid as described in any one of claims 1-6.

Images