Virtual power plant flexible resource evaluation method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for evaluating flexible resources of a virtual power plant. The method comprises: obtaining measurement data and demand data of a virtual power plant; inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result comprises at least one evaluation value among a comfort evaluation value, a resource evaluation value and a technical evaluation value; and determining the evaluation result of the flexible resources of the virtual power plant based on the test result and the preset evaluation index value. The virtual power plant is evaluated in combination with the measurement data and demand data of the virtual power plant, so as to reasonably allocate resources for evaluating the virtual power plant, and the test result comprises at least one evaluation value among a comfort evaluation value, a resource evaluation value and a technical evaluation value. The virtual power plant can be evaluated from multiple perspectives at the same time, so that the allocation of resources for evaluating the virtual power plant is more reasonable and the accuracy of the evaluation is improved.

Description

Technical Field

[0001] The present application relates to the technical field of virtual power plants, and in particular to a method, apparatus, computer equipment, and storage medium for evaluating flexible resources of a virtual power plant. Background Art

[0002] The ancillary services market is a crucial component of the electricity market. Its purpose is to incentivize power generation companies, energy storage facilities, virtual power plants, and other entities through market mechanisms to provide ancillary services such as frequency regulation, peak shaving, and standby power, thereby maintaining frequency stability and voltage quality in the power system and enabling emergency response. A virtual power plant (VPP) is a power coordination and management system that uses information and communication technologies and software systems to aggregate and coordinate distributed energy resources, such as distributed power sources, energy storage systems, and controllable loads, to participate in the electricity market and grid operations as a specialized power plant. Therefore, establishing a scientific and rational market access indicator system and performance testing system for VPPs is crucial for promoting the healthy development of the ancillary services market.

[0003] In traditional technologies, comprehensive evaluation tests are mainly carried out around multiple dimensions such as technical conditions, safety performance, environmental protection standards and economic benefits, which leads to the problem of unreasonable allocation of testing resources. Summary of the Invention

[0004] Based on this, it is necessary to provide an evaluation method, device, computer equipment and storage medium for flexible resources of a virtual power plant that can reasonably allocate test resources to address the above technical problems.

[0005] In a first aspect, the present application provides a method for evaluating flexible resources of a virtual power plant, comprising:

[0006] obtaining measurement data and demand data of the virtual power plant;

[0007] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0008] An evaluation result of the flexible resources of the virtual power plant is determined based on the test result and a preset evaluation index value.

[0009] In one embodiment, determining the evaluation result of the flexible resources of the virtual power plant according to the test result and a preset evaluation index value includes:

[0010] For each evaluation value in the test result, determining an evaluation index requirement corresponding to the evaluation value, and determining a preliminary evaluation result corresponding to the evaluation value based on the evaluation value, the evaluation index value, and the evaluation index requirement;

[0011] If all of the preliminary evaluation results indicate that the evaluation value meets the evaluation index requirements, the evaluation result is good; if there is a preliminary evaluation result indicating that the evaluation value does not meet the evaluation index requirements, the evaluation result is to be improved.

[0012] In one embodiment, inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain the test results of the virtual power plant includes:

[0013] Determining a target test scheme corresponding to the virtual power plant according to the demand data; the target test scheme includes at least one of a comfort assessment test, a resource assessment test, and a technical assessment test;

[0014] The virtual power plant is tested according to the target test scheme, the measurement data and the preset test model to obtain a test result of the virtual power plant.

[0015] In one embodiment, the target test scheme includes a comfort assessment test, and the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain the test results of the virtual power plant includes:

[0016] Obtaining a non-sensing priority test result of the virtual power plant according to the actual capacity of the load in the measurement data, the non-sensing capacity of the load, and a first test model; the first test model is a preset non-sensing priority relationship formula;

[0017] In one embodiment, the target test scheme includes a resource assessment test, and the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain the test results of the virtual power plant includes:

[0018] The resource benefit test result of the virtual power plant is obtained based on the operating resources, power generation, preset parameters and the third test model in the measurement data; the third test model is a preset resource test relationship.

[0019] In one embodiment, the target test scheme includes a technology evaluation test, and the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain the test results of the virtual power plant includes:

[0020] The technical test results of the virtual power plant are obtained based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0021] In a second aspect, the present application further provides a device for evaluating flexible resources of a virtual power plant, comprising:

[0022] an acquisition module, configured to acquire measurement data and demand data of the virtual power plant;

[0023] a testing module, configured to input measurement data and demand data of the virtual power plant into a preset testing model to obtain a test result of the virtual power plant; the test result comprising at least one of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0024] A determination module is used to determine the evaluation results of the flexible resources of the virtual power plant based on the test results and preset evaluation index values.

[0025] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0026] obtaining measurement data and demand data of the virtual power plant;

[0027] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0028] An evaluation result of the flexible resources of the virtual power plant is determined based on the test result and a preset evaluation index value.

[0029] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0030] obtaining measurement data and demand data of the virtual power plant;

[0031] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0032] An evaluation result of the flexible resources of the virtual power plant is determined based on the test result and a preset evaluation index value.

[0033] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0034] obtaining measurement data and demand data of the virtual power plant;

[0035] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0036] An evaluation result of the flexible resources of the virtual power plant is determined based on the test result and a preset evaluation index value.

[0037] The above-mentioned method, apparatus, computer equipment, and storage medium for evaluating flexible resources of a virtual power plant obtain measurement data and demand data of the virtual power plant; input the measurement data and demand data of the virtual power plant into a preset test model to obtain test results of the virtual power plant; the test results include at least one evaluation value among a comfort evaluation value, a resource evaluation value, and a technical evaluation value; and the evaluation results of the flexible resources of the virtual power plant are determined based on the test results and preset evaluation index values. The virtual power plant is evaluated in combination with the measurement data and demand data of the virtual power plant, thereby rationally allocating resources for evaluating the virtual power plant. Furthermore, the test results include at least one evaluation value among a comfort evaluation value, a resource evaluation value, and a technical evaluation value. The virtual power plant can be evaluated from multiple perspectives simultaneously, making the allocation of resources for evaluating the virtual power plant more rational and improving the accuracy of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 FIG1 is an application environment diagram of a method for evaluating flexible resources of a virtual power plant in one embodiment;

[0040] Figure 2 1 is a flow chart of a method for evaluating flexible resources of a virtual power plant in one embodiment;

[0041] Figure 3 This is a flow chart of a method for evaluating flexible resources of a virtual power plant in another embodiment;

[0042] Figure 4 This is a second flow chart of a method for evaluating flexible resources of a virtual power plant in another embodiment;

[0043] Figure 5 This is a third flow chart of a method for evaluating flexible resources of a virtual power plant in another embodiment;

[0044] Figure 6 is a structural block diagram of a device for evaluating flexible resources of a virtual power plant in one embodiment;

[0045] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0047] The evaluation method of flexible resources of virtual power plants provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, electronic device 102 communicates with server 104 via a network. A data storage system can store data that server 104 needs to process. The data storage system can be integrated with server 104, or located in the cloud or on another network server. Electronic device 102 sends measurement data and demand data of the virtual power plant to server 104, which determines the assessment results of the flexible resources of the virtual power plant based on the measurement data and demand data. Electronic device 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart car devices, projectors, etc. Portable wearable devices can include smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices can include virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. Server 104 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0048] In one embodiment, Figure 2 As shown in the figure, a method for evaluating the flexible resources of a virtual power plant is provided. Figure 1 The following is an example of a server in the example, including:

[0049] S201, obtaining measurement data and demand data of the virtual power plant.

[0050] Among them, demand data is used to characterize the assessed demand for flexible resources in virtual power plants.

[0051] In an embodiment of the present application, a collection device collects measurement data of a virtual power plant in real time and transmits the measurement data to a server. Alternatively, the server can read the measurement data of the virtual power plant from a preset measurement database. Furthermore, the server can receive demand data of the virtual power plant from other electronic devices. Alternatively, the server can determine the demand data of the virtual power plant from a preset demand database.

[0052] S202, inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain the test results of the virtual power plant; the test results include at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value.

[0053] Among them, the comfort assessment value may include the unconscious priority assessment value and comfort level; the resource assessment value may include the total resource consumption, the ratio of resource benefit to resource consumption, and the net resource benefit value; and the technical assessment value may include the power generation capacity value, the regulation capacity value, the response time, the ramp rate, the duration, and the regulation deviation rate.

[0054] In an embodiment of the present application, the test model can be a big data AI model, and the measurement data and demand data of the virtual power plant are input into a preset test model to obtain at least one evaluation value among the comfort evaluation value, resource evaluation value and technical evaluation value.

[0055] Optionally, the test model may include a first sub-model, a second sub-model, and a third sub-model. At least one target model may be determined from the first, second, and third sub-models based on the demand data. Furthermore, the measurement data may be input into the target sub-model to obtain a test result. For example, when the target model includes the first, second, and third sub-models, the measurement data may be input into the first sub-model to obtain a comfort assessment value; the measurement data may be input into the second sub-model to obtain a resource assessment value; and the measurement data may be input into the third sub-model to obtain a technology assessment value.

[0056] S203: Determine the evaluation result of the flexible resources of the virtual power plant according to the test result and the preset evaluation index value.

[0057] Among them, the evaluation index values ​​include comfort evaluation index, resource evaluation index and technical evaluation index.

[0058] In an embodiment of the present application, the comfort assessment index and the comfort assessment value are compared to determine the comfort assessment result of the virtual power plant; the resource assessment index and the resource assessment value are compared to determine the resource assessment value result of the virtual power plant; and the technical assessment index and the technical assessment value are compared to determine the technical assessment result of the virtual power plant.

[0059] Optionally, when the comfort assessment index and the comfort assessment value are consistent, the comfort assessment result of the virtual power plant is determined to be good; when the resource assessment index and the resource assessment value are consistent, the resource assessment result of the virtual power plant is determined to be good; when the technical assessment index and the technical assessment value are consistent, the technical assessment result of the virtual power plant is determined to be good.

[0060] In the above-mentioned method for evaluating flexible resources of a virtual power plant, measurement data and demand data of the virtual power plant are obtained; the measurement data and demand data of the virtual power plant are input into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value; and the evaluation result of the flexible resources of the virtual power plant is determined based on the test result and preset evaluation index values. The virtual power plant is evaluated in combination with the measurement data and demand data of the virtual power plant, thereby rationally allocating resources for evaluating the virtual power plant. Furthermore, the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value. The virtual power plant can be evaluated from multiple perspectives simultaneously, making the allocation of resources for evaluating the virtual power plant more rational and improving the accuracy of the evaluation.

[0061] In one embodiment, an implementation of the above S203 is provided, such as Figure 3 As shown, the above-mentioned "determining the evaluation results of the flexible resources of the virtual power plant based on the test results and the preset evaluation index values" includes:

[0062] S301, for each evaluation value in the test result, determining the evaluation index requirement corresponding to the evaluation value, and determining the preliminary evaluation result corresponding to the evaluation value based on the evaluation value, the evaluation index value and the evaluation index requirement.

[0063] The evaluation index requirements include whether the evaluation value is within the preset index range, or whether the evaluation value is greater than the preset index value.

[0064] In an embodiment of the present application, a correspondence between each evaluation item and the evaluation index requirement is established in advance, so that the evaluation index requirement corresponding to each evaluation value is determined based on the evaluation item corresponding to each evaluation value and the correspondence, and the preset index range or preset index value corresponding to each evaluation value is determined.

[0065] Optionally, if the evaluation index requirement is whether the evaluation value is within the preset index range, then when the evaluation value is within the preset index range, it is determined that the evaluation value meets the evaluation index requirement; when the evaluation value is not within the preset index range, it is determined that the evaluation value does not meet the evaluation index requirement; if the evaluation index requirement is whether the evaluation value is greater than the preset index value, then when the evaluation value is greater than the preset index value, it is determined that the evaluation value meets the evaluation index requirement; when the evaluation value is not greater than the preset index value, it is determined that the evaluation value does not meet the evaluation index requirement.

[0066] S302: If all preliminary evaluation results indicate that the evaluation value meets the evaluation index requirements, the evaluation result is good; if there are preliminary evaluation results indicating that the evaluation value does not meet the evaluation index requirements, the evaluation result is for improvement.

[0067] In an embodiment of the present application, for all evaluation values ​​of the virtual power plant, if the preliminary evaluation results corresponding to all evaluation values ​​are that the evaluation values ​​meet the evaluation index requirements, then it is characterized that the performance of the virtual power plant is good and no optimization is required; if there are evaluation values ​​corresponding to the preliminary evaluation results are that the evaluation values ​​do not meet the evaluation index requirements, then it is characterized that the performance of the virtual power plant does not meet the requirements and needs to be optimized.

[0068] In an embodiment of the present application, the evaluation results of the flexible resources of the virtual power plant are determined by comprehensively considering the preliminary evaluation results corresponding to each evaluation value, so that the evaluation of the flexible resources of the virtual power plant is more comprehensive and the evaluation accuracy of the flexible resources of the virtual power plant is improved.

[0069] In one embodiment, an implementation of the above S202 is provided, such as Figure 4 As shown, the above-mentioned “inputting the measurement data and demand data of the virtual power plant into the preset test model to obtain the test results of the virtual power plant” includes:

[0070] S401, determining a target test plan corresponding to the virtual power plant based on demand data; the target test plan includes at least one of a comfort assessment test, a resource assessment test, and a technology assessment test.

[0071] In an embodiment of the present application, the demand data may include the need for evaluating the virtual power plant, for example, the need for comfort evaluation of the virtual power plant, the need for resource evaluation of the virtual power plant, and the need for resource evaluation of the virtual power plant.

[0072] Optionally, if the demand data includes the need for a comfort assessment of the virtual power plant, the target test plan includes a plan for a comfort assessment of the virtual power plant; if the demand data includes the need for a resource assessment of the virtual power plant, the target test plan includes a plan for a resource assessment of the virtual power plant; if the demand data includes the need for a resource assessment of the virtual power plant, the target test plan includes a plan for a resource assessment of the virtual power plant.

[0073] S402 , testing the virtual power plant according to the target test plan, measurement data and a preset test model to obtain a test result of the virtual power plant.

[0074] In an embodiment of the present application, a comfort assessment test is performed on the virtual power plant according to the target test scheme to obtain a comfort test result, and / or a resource assessment test is performed on the virtual power plant according to the target test scheme to obtain a resource test result; a technical assessment test is performed on the virtual power plant according to the target test scheme to obtain a technical test result.

[0075] Optionally, target measurement data may be determined from the measurement data according to a target test scheme, and further, the target measurement data may be input into a test model to obtain a test result of the virtual power plant.

[0076] In the above application embodiment, the target test plan corresponding to the virtual power plant is first determined based on the demand data, so that the target test plan is more matched with the virtual power plant. On this basis, the virtual power plant is tested according to the target test plan, which improves the rationality of resource allocation.

[0077] In one embodiment, an implementation method of the above-mentioned S402 is provided, and the target test scheme includes a comfort assessment test. The above-mentioned "testing the virtual power plant according to the target test scheme, measurement data and a preset test model to obtain the test results of the virtual power plant" includes: obtaining the inductive priority test results of the virtual power plant according to the actual capacity of the load in the measurement data, the inductive capacity of the load, and the first test model; the first test model is a preset inductive priority relationship.

[0078] Optionally, in an embodiment of the present application, the first test model can be as shown in Formula 1, and the actual capacity of the load and the inductive capacity of the load are input into the first test model to obtain the inductive priority test result of the virtual power plant.

[0079] (Formula 1)

[0080] in, In order to consider the user-perceived non-sensing priority test results, is the weighted value of the impact of electricity charges on user perception, is the weighted value of the temperature impact index on user perception, For users The impact index of time-of-day electricity price based on air conditioning load on user perception For users The temperature at the moment is based on the impact index of the air conditioning load on the user's perception. k(P0) is the electricity expenditure when the user does not participate in the demand response project, which is a function of the original electricity price P0. p ,P s ,P v ) is the electricity expenditure of users after participating in the demand response project, and is the electricity price function of users with different degrees of participation in regulation. It stands for thermal comfort index PWM.

[0081] In the above-mentioned application embodiment, the comfort test results of the virtual power plant are determined based on the measurement data and the preset relationship or model, thereby improving the accuracy of the comfort test, and thus evaluating the virtual power plant based on the comfort test results, thereby improving the comprehensiveness of the evaluation of the virtual power plant.

[0082] In one embodiment, an implementation method of the above-mentioned S402 is provided, and the target test scheme includes a resource evaluation test. The above-mentioned "testing the virtual power plant according to the target test scheme, measurement data and a preset test model to obtain the test results of the virtual power plant" includes: obtaining the resource benefit test results of the virtual power plant according to the operating resources, power generation, preset parameters and a third test model in the measurement data; the third test model is a preset resource test relationship.

[0083] Among them, the resource assessment value may include total resource consumption, the ratio of resource income to resource consumption, and the net resource income value.

[0084] In the embodiment of the present application, the total resource consumption is the resource consumption of the virtual power plant throughout its entire life cycle. The third test model corresponding to the total resource consumption may include equations 2 to 5:

[0085] (Equation 2)

[0086] (Formula 3)

[0087] (Formula 4)

[0088] (Formula 5)

[0089] Among them, TC is the total cost; Estimated power generation for the virtual power plant over its entire lifecycle; Fixed costs, i.e., the initial investment cost of the virtual power plant and the immutable resources in operation; It is a variable resource, i.e., the resource that is added when one unit of electricity is produced during the operation of the virtual power plant; It is the sum of staff salaries, space, office equipment and other resources; The communication control equipment resources required for resource i to participate in the virtual power plant; The one-time payment price for resource i to sign up to participate in the virtual power plant. is the operating cost of resource i in period T; is the total power generation of the virtual power plant in the T period; For the total budget.

[0090] Optionally, a third test model corresponding to the ratio of resource benefit to resource consumption may be as shown in equations 6 and 7:

[0091] (Equation 6)

[0092] (Equation 7)

[0093] in, is the benefit-cost ratio; The operating income of the virtual power plant; It is the reference value of the benefit-cost ratio.

[0094] Optionally, the third test model corresponding to the net resource benefit value may be as shown in equations 8 and 9:

[0095] (Equation 8)

[0096] (Equation 9)

[0097] in, is the net lifetime income; It is the reference value of net income during life cycle.

[0098] In the above application embodiment, resource evaluation tests can be performed on the virtual power plant from multiple angles at the same time to obtain resource evaluation values ​​from multiple angles, thereby improving the rationality of resource allocation for evaluating the virtual power plant.

[0099] In one embodiment, an implementation scheme of the above-mentioned S402 is provided, and the target test scheme includes a technical evaluation test. The above-mentioned "testing the virtual power plant according to the target test scheme, measurement data and a preset test model to obtain the test results of the virtual power plant" includes: obtaining the technical test results of the virtual power plant according to the sequence data, power data, adjustment data, response time data and a fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0100] In the embodiment of the present application, the technical evaluation value includes the power generation capacity value, the regulation capacity value, the response time, the ramp rate, the duration, and the regulation deviation rate. The fourth test model includes:

[0101] (1) Power generation capacity: The maximum output power of the virtual power plant is as shown in Equations 10 and 11:

[0102] (Equation 10)

[0103] (Equation 11)

[0104] in, is the power generation capacity index; L is the distributed power sequence; M is the load sequence; N is the energy storage sequence; is the installed capacity of the i-th distributed generation; is the minimum load power of the jth load, i.e. the maximum negative power generation; is the maximum discharge power of the kth energy storage.

[0105] (2) Regulation capacity: The difference between the maximum power and minimum power that the virtual power plant can achieve. According to the grid instructions, the regulation capacity of the virtual power plant is the sum of the maximum regulation amounts of each resource, as shown in Equations 12 and 13:

[0106] (Equation 12)

[0107] (Equation 13)

[0108] in: : Adjust capacity index; : Maximum adjustment amount of each resource; : Adjust the set value of capacity.

[0109] (3) Response time: The time from when the virtual power plant receives the command to when it starts to act, which can be calculated using actual measurement data, as shown in Equations 14 and 15:

[0110] (Equation 14)

[0111] (Equation 15)

[0112] in: : Response time indicator; : When the virtual power plant starts; : time when the instruction was issued; : The setting value of response time.

[0113] (4) Ramp rate: The maximum regulation power of the virtual power plant per minute is the percentage of the power generation capacity (regulation capacity), as shown in Equations 16 and 17:

[0114] (Equation 16)

[0115] (Equation 17)

[0116] in, is the unidirectional ramp rate (unit: percentage of rated capacity / minute); It is the actual unidirectional power regulation of the virtual power plant; is the rated capacity of the virtual power plant; This is the single-direction test time.

[0117] (5) Duration: The duration of the virtual power plant reaching the target power and maintaining a stable output within a certain range. This can be calculated using the virtual power plant resource measurement data, as shown in Equations 18 and 19:

[0118] (Equation 18)

[0119] (Equation 19)

[0120] in, is the duration indicator; The end time of power generation; is the power generation start time; The setting value of the duration.

[0121] (6) Regulation deviation rate: The difference between the actual regulation power of the virtual power plant and the target regulation power as a percentage of the target regulation power, as shown in Equations 20 and 21:

[0122] (Equation 20)

[0123] (Equation 21)

[0124] in, is the regulation deviation rate of the virtual power plant at time i; The actual output power of the virtual power plant during stable operation; The command output power for this power generation; It is the set value for adjusting the deviation rate.

[0125] In the above-mentioned application embodiment, the technical test results of the virtual power plant are determined based on the measurement data and the preset relationship or model, thereby improving the accuracy of the technical test, thereby evaluating the virtual power plant based on the technical test results, and improving the comprehensiveness of the evaluation of the virtual power plant.

[0126] In one embodiment, a complete evaluation of the flexible resources of a virtual power plant is provided, such as Figure 5 As shown, the method includes:

[0127] S1, obtains the measurement data and demand data of the virtual power plant.

[0128] S2. Determine a target test plan corresponding to the virtual power plant based on the demand data; the target test plan includes at least one of a comfort assessment test, a resource assessment test, and a technology assessment test.

[0129] S3, obtaining the inductive priority test result of the virtual power plant according to the actual capacity of the load in the measurement data, the inductive capacity of the load, and the first test model; the first test model is a preset inductive priority relationship.

[0130] S4, obtaining the resource benefit test result of the virtual power plant based on the operating resources, power generation, preset parameters and the third test model in the measurement data; the third test model is a preset resource test relationship.

[0131] S5, obtaining the technical test results of the virtual power plant based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0132] S6. For each evaluation value in the test result, determine the evaluation index requirement corresponding to the evaluation value, and determine the preliminary evaluation result corresponding to the evaluation value based on the evaluation value, the evaluation index value and the evaluation index requirement.

[0133] S7: If all preliminary evaluation results indicate that the evaluation value meets the evaluation index requirements, the evaluation result is good; if there are preliminary evaluation results indicating that the evaluation value does not meet the evaluation index requirements, the evaluation result is for improvement.

[0134] In the above-mentioned method for evaluating flexible resources of a virtual power plant, measurement data and demand data of the virtual power plant are obtained; the measurement data and demand data of the virtual power plant are input into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value; and the evaluation result of the flexible resources of the virtual power plant is determined based on the test result and preset evaluation index values. The virtual power plant is evaluated in combination with the measurement data and demand data of the virtual power plant, thereby rationally allocating resources for evaluating the virtual power plant. Furthermore, the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value. The virtual power plant can be evaluated from multiple perspectives simultaneously, making the allocation of resources for evaluating the virtual power plant more rational and improving the accuracy of the evaluation.

[0135] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0136] Based on the same inventive concept, embodiments of the present application also provide a virtual power plant flexible resource assessment device for implementing the aforementioned virtual power plant flexible resource assessment method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the virtual power plant flexible resource assessment device provided below can be found in the limitations of the virtual power plant flexible resource assessment method described above and will not be further elaborated here.

[0137] In one embodiment, Figure 6 As shown, a device for evaluating flexible resources of a virtual power plant is provided, comprising: an acquisition module 10, a testing module 11 and a determination module 12, wherein:

[0138] The acquisition module 10 is used to acquire measurement data and demand data of the virtual power plant.

[0139] The test module 11 is used to input the measurement data and demand data of the virtual power plant into a preset test model to obtain the test results of the virtual power plant; the test results include at least one evaluation value of comfort, resource and technology.

[0140] The determination module 12 is used to determine the evaluation results of the flexible resources of the virtual power plant based on the test results and the preset evaluation index values.

[0141] In one embodiment, the determination module 12 includes: a first determination unit and a second determination unit, wherein:

[0142] The first determining unit is used to determine, for each evaluation value in the test result, an evaluation index requirement corresponding to the evaluation value, and determine a preliminary evaluation result corresponding to the evaluation value based on the evaluation value, the evaluation index value and the evaluation index requirement.

[0143] The second determining unit is configured to determine that if all preliminary evaluation results indicate that the evaluation values ​​meet the evaluation index requirements, the evaluation result is good; if there is a preliminary evaluation result indicating that the evaluation value does not meet the evaluation index requirements, the evaluation result is in need of improvement.

[0144] In one embodiment, the test module 11 includes: a third determination unit and a test unit, wherein:

[0145] The third determination unit is used to determine the target test plan corresponding to the virtual power plant according to the demand data; the target test plan includes at least one of a comfort assessment test, a resource assessment test and a technology assessment test.

[0146] The test unit is used to test the virtual power plant according to the target test plan, measurement data and preset test model to obtain the test results of the virtual power plant.

[0147] In one embodiment, the target test scheme includes a comfort assessment test, and the above-mentioned test unit is specifically used to obtain the inductive priority test result of the virtual power plant based on the actual capacity of the load in the measurement data, the inductive capacity of the load, and the first test model; the first test model is a preset inductive priority relationship.

[0148] In one embodiment, the target test scheme includes a resource assessment test and a Shangshuyuan test unit, which is specifically used to obtain the resource benefit test results of the virtual power plant based on the operating resources, power generation, preset parameters and a third test model in the measurement data; the third test model is a preset resource test relationship.

[0149] In one embodiment, the target test scheme includes a technical evaluation test, and the above-mentioned test unit is specifically used to obtain the technical test results of the virtual power plant based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0150] Each module in the aforementioned virtual power plant flexible resource assessment device can be implemented in whole or in part via software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor within a computer device in the form of hardware, or can be stored in a computer device memory in the form of software, allowing the processor to call and execute the corresponding operations of each module.

[0151] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store evaluation data of flexible resources of a virtual power plant. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for evaluating flexible resources of a virtual power plant is implemented.

[0152] Those skilled in the art will understand that Figure 7The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0153] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0154] Access measurement and demand data for virtual power plants;

[0155] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0156] Based on the test results and preset evaluation index values, the evaluation results of the virtual power plant flexible resources are determined.

[0157] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0158] For each evaluation value in the test results, determine the evaluation index requirements corresponding to the evaluation value, and determine the preliminary evaluation results corresponding to the evaluation value based on the evaluation value, evaluation index value and evaluation index requirements;

[0159] If all preliminary evaluation results indicate that the evaluation values ​​meet the evaluation index requirements, the evaluation results are good; if there are preliminary evaluation results that indicate that the evaluation values ​​do not meet the evaluation index requirements, the evaluation results are for improvement.

[0160] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0161] Determine a target test plan corresponding to the virtual power plant based on the demand data; the target test plan includes at least one of a comfort assessment test, a resource assessment test, and a technical assessment test;

[0162] The virtual power plant is tested according to the target test plan, measurement data and preset test model to obtain the test results of the virtual power plant.

[0163] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0164] Obtaining a non-sensing priority test result of the virtual power plant based on the actual capacity of the load in the measurement data, the non-sensing capacity of the load, and the first test model; the first test model is a preset non-sensing priority relationship;

[0165] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0166] The resource benefit test results of the virtual power plant are obtained based on the operating resources, power generation, preset parameters and the third test model in the measurement data; the third test model is the preset resource test relationship.

[0167] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0168] The technical test results of the virtual power plant are obtained based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0169] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0170] Access measurement and demand data for virtual power plants;

[0171] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0172] Based on the test results and preset evaluation index values, the evaluation results of the virtual power plant flexible resources are determined.

[0173] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0174] For each evaluation value in the test results, determine the evaluation index requirements corresponding to the evaluation value, and determine the preliminary evaluation results corresponding to the evaluation value based on the evaluation value, evaluation index value and evaluation index requirements;

[0175] If all preliminary evaluation results indicate that the evaluation values ​​meet the evaluation index requirements, the evaluation results are good; if there are preliminary evaluation results that indicate that the evaluation values ​​do not meet the evaluation index requirements, the evaluation results are for improvement.

[0176] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0177] Determine a target test plan corresponding to the virtual power plant based on the demand data; the target test plan includes at least one of a comfort assessment test, a resource assessment test, and a technical assessment test;

[0178] The virtual power plant is tested according to the target test plan, measurement data and preset test model to obtain the test results of the virtual power plant.

[0179] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0180] Obtaining a non-sensing priority test result of the virtual power plant based on the actual capacity of the load in the measurement data, the non-sensing capacity of the load, and the first test model; the first test model is a preset non-sensing priority relationship;

[0181] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0182] The resource benefit test results of the virtual power plant are obtained based on the operating resources, power generation, preset parameters and the third test model in the measurement data; the third test model is the preset resource test relationship.

[0183] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0184] The technical test results of the virtual power plant are obtained based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0185] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0186] Access measurement and demand data for virtual power plants;

[0187] Inputting the measurement data and demand data of the virtual power plant into a preset test model to obtain a test result of the virtual power plant; the test result includes at least one evaluation value of a comfort evaluation value, a resource evaluation value, and a technical evaluation value;

[0188] Based on the test results and preset evaluation index values, the evaluation results of the virtual power plant flexible resources are determined.

[0189] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0190] For each evaluation value in the test results, determine the evaluation index requirements corresponding to the evaluation value, and determine the preliminary evaluation results corresponding to the evaluation value based on the evaluation value, evaluation index value and evaluation index requirements;

[0191] If all preliminary evaluation results indicate that the evaluation values ​​meet the evaluation index requirements, the evaluation results are good; if there are preliminary evaluation results that indicate that the evaluation values ​​do not meet the evaluation index requirements, the evaluation results are for improvement.

[0192] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0193] Determine a target test plan corresponding to the virtual power plant based on the demand data; the target test plan includes at least one of a comfort assessment test, a resource assessment test, and a technical assessment test;

[0194] The virtual power plant is tested according to the target test plan, measurement data and preset test model to obtain the test results of the virtual power plant.

[0195] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0196] Obtaining a non-sensing priority test result of the virtual power plant based on the actual capacity of the load in the measurement data, the non-sensing capacity of the load, and the first test model; the first test model is a preset non-sensing priority relationship;

[0197] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0198] The resource benefit test results of the virtual power plant are obtained based on the operating resources, power generation, preset parameters and the third test model in the measurement data; the third test model is the preset resource test relationship.

[0199] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0200] The technical test results of the virtual power plant are obtained based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

[0201] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0202] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0203] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for evaluating flexible resources of a virtual power plant, characterized in that: The method comprises: Obtain measurement and demand data for virtual power plants; determining a target test scheme corresponding to the virtual power plant according to the demand data; the target test scheme including at least one of a comfort assessment test, a resource assessment test, and a technical assessment test; testing the virtual power plant according to the target test scheme, the measurement data, and a preset test model to obtain a test result of the virtual power plant; the test result including at least one of a comfort assessment value, a resource assessment value, and a technical assessment value; Determining an evaluation result of the flexible resources of the virtual power plant according to the test result and a preset evaluation index value; In a case where the target test scheme includes a comfort assessment test, the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain a test result of the virtual power plant includes: Obtaining a non-sensing priority test result of the virtual power plant according to the actual capacity of the load in the measurement data, the non-sensing capacity of the load, and a first test model; the first test model is a preset non-sensing priority relationship formula; The first test model is shown in the following formula (1): ; (Formula 1) in, In order to consider the user-perceived non-sensing priority test results, is the weighted value of the impact of electricity charges on user perception, is the weighted value of the temperature impact index on user perception, For users The hourly electricity price is based on the impact of air conditioning load on user perception. For users The temperature at the moment is based on the impact index of the air conditioning load on the user's perception. k(P0) is the electricity expenditure when the user does not participate in the demand response project, which is a function of the original electricity price P0. p ,P s ,P v ) is the electricity expense after the user participates in the demand response project, and is the electricity price function of different user participation adjustment levels. represents the thermal comfort index; n is the time corresponding to the user's participation in the demand response project; In a case where the target test scheme includes a resource assessment test, the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain a test result of the virtual power plant includes: Obtaining a resource benefit test result of the virtual power plant based on the operating resources, power generation, preset parameters, and a third test model in the measurement data; the third test model is a preset resource test relationship; In a case where the target test scheme includes a technology evaluation test, the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain a test result of the virtual power plant includes: The technical test results of the virtual power plant are obtained based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

2. The method according to claim 1, characterized in that Determining the evaluation result of the flexible resources of the virtual power plant according to the test result and the preset evaluation index value includes: For each evaluation value in the test result, determining an evaluation index requirement corresponding to the evaluation value, and determining a preliminary evaluation result corresponding to the evaluation value based on the evaluation value, the evaluation index value, and the evaluation index requirement; If all of the preliminary evaluation results indicate that the evaluation value meets the evaluation index requirements, the evaluation result is good; if there is a preliminary evaluation result indicating that the evaluation value does not meet the evaluation index requirements, the evaluation result is to be improved.

3. The method according to claim 1, characterized in that The comfort evaluation value includes the unconscious priority evaluation value and comfort level; the resource evaluation value includes the total resource consumption, the ratio of resource benefit to resource consumption, and the net resource benefit value; and the technical evaluation value includes the power generation capacity value, the regulation capacity value, the response time, the climbing rate, the duration, and the regulation deviation rate.

4. The method according to claim 1, wherein The evaluation index values ​​include a comfort evaluation index, a resource evaluation index and a technical evaluation index.

5. The method according to claim 2, characterized in that The evaluation index requirement includes whether the evaluation value is within a preset index range, or whether the evaluation value is greater than a preset index value.

6. A device for evaluating flexible resources of a virtual power plant, characterized in that: The device comprises: An acquisition module, used to obtain measurement data and demand data of the virtual power plant; a testing module, configured to determine a target test scheme corresponding to the virtual power plant based on the demand data; the target test scheme comprising at least one of a comfort assessment test, a resource assessment test, and a technical assessment test; and testing the virtual power plant based on the target test scheme, the measurement data, and a preset test model to obtain a test result of the virtual power plant; the test result comprising at least one of a comfort assessment value, a resource assessment value, and a technical assessment value; A determination module, configured to determine an evaluation result of the flexible resources of the virtual power plant based on the test result and a preset evaluation index value; When the target test scheme includes a comfort assessment test, the test module is further configured to obtain a non-sensing priority test result of the virtual power plant based on the actual capacity of the load and the non-sensing capacity of the load in the measurement data, and a first test model; the first test model is a preset non-sensing priority relationship equation; The first test model is shown in the following formula (1): ; (Formula 1) in, In order to consider the user-perceived non-sensing priority test results, is the weighted value of the impact of electricity charges on user perception, is the weighted value of the temperature impact index on user perception, For users The hourly electricity price is based on the impact of air conditioning load on user perception. For users The temperature at the moment is based on the impact index of the air conditioning load on the user's perception. k(P0) is the electricity expenditure when the user does not participate in the demand response project, which is a function of the original electricity price P0. p ,P s ,P v ) is the electricity expense after the user participates in the demand response project, and is the electricity price function of different user participation adjustment levels. represents the thermal comfort index; n is the time corresponding to the user's participation in the demand response project; In a case where the target test scheme includes a resource assessment test, the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain a test result of the virtual power plant includes: Obtaining a resource benefit test result of the virtual power plant based on the operating resources, power generation, preset parameters, and a third test model in the measurement data; the third test model is a preset resource test relationship; In a case where the target test scheme includes a technology evaluation test, the testing of the virtual power plant according to the target test scheme, the measurement data, and the preset test model to obtain a test result of the virtual power plant includes: The technical test results of the virtual power plant are obtained based on the sequence data, power data, adjustment data, response time data and the fourth test model in the measurement data; the fourth test model is a preset technical test relationship.

7. The device according to claim 6, characterized in that The determining module includes: a first determining unit and a second determining unit, wherein: The first determining unit is specifically configured to determine, for each evaluation value in the test result, an evaluation index requirement corresponding to the evaluation value, and determine a preliminary evaluation result corresponding to the evaluation value based on the evaluation value, the evaluation index value, and the evaluation index requirement; The second determination unit is specifically configured to determine that if all of the preliminary evaluation results indicate that the evaluation value meets the evaluation index requirements, the evaluation result is good; if there is a preliminary evaluation result indicating that the evaluation value does not meet the evaluation index requirements, the evaluation result needs to be improved.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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