Comprehensive test method and device of virtual power plant, computer equipment and storage medium

Abstract

The invention relates to a comprehensive test method and device for a virtual power plant, computer equipment and a storage medium, and relates to the technical field of virtual power plants. The method comprises the steps of performing qualification checking on a virtual power plant according to an operator registration application submitted by the virtual power plant, and obtaining a qualification checking result; according to a transaction subject registration application submitted by the load type virtual power plant, carrying out capability testing, and obtaining response capability testing data of the load type virtual power plant; the load type virtual power plant is the virtual power plant which passes the qualification audit result in the virtual power plant; determining a response capability test index of the load type virtual power plant according to the response capability test data; the response capability test index is used for representing the adjustable capability of the load type virtual power plant; and determining a transaction subject registration result of the load-type virtual power plant according to the response capability test index. By adopting the method, the comprehensive test of the access qualification and the adjustable capability of the virtual power plant can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of virtual power plants, and particularly to a comprehensive testing method, device, computer device and storage medium for a virtual power plant. Background Art

[0002] With the acceleration of energy transformation and the wide application of Distributed Energy Resources (DER), virtual power plants, as a new power system solution that can integrate distributed energy and participate in power market transactions, have received extensive attention.

[0003] Through advanced Information and Communication Technology (ICT), intelligent scheduling algorithms and big data analysis, virtual power plants integrate resources such as distributed power sources, energy storage systems, and controllable loads, enabling them to participate in the operation and market transactions of the power system like traditional power plants. Its core goal is to improve energy utilization efficiency, enhance grid flexibility and reliability, while reducing carbon emissions.

[0004] In recent years, with the opening of the electricity spot market, virtual power plants have gradually been incorporated into the power trading system and need to meet technical requirements such as access qualifications, security protection, and regulation ability testing. However, there is currently a lack of a comprehensive testing scheme for virtual power plants. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a comprehensive testing method, device, computer device and storage medium for a virtual power plant, which can realize the comprehensive testing of the access qualifications and adjustable capabilities of the virtual power plant.

[0006] The present application provides a comprehensive testing method for a virtual power plant, and the method includes:

[0007] Conduct qualification review on the virtual power plant according to the operator registration application submitted by the virtual power plant, and obtain the qualification review result;

[0008] Conduct capacity testing according to the trading entity registration application submitted by the load-type virtual power plant, and obtain the response capacity test data of the load-type virtual power plant; the load-type virtual power plant is the virtual power plant that has passed the qualification review among the virtual power plants;

[0009] Determine the response capacity test index of the load-type virtual power plant according to the response capacity test data; the response capacity test index is used to represent the adjustable capacity of the load-type virtual power plant;

[0010] Determine the trading entity registration result of the load-type virtual power plant according to the response capacity test index.

[0011] In one embodiment, the method includes performing a capacity test on a trading entity registration application submitted by a load-class virtual power plant and obtaining response capacity test data of the load-class virtual power plant, including:

[0012] Determining a market trading type and regulation requirements in which the load-class virtual power plant participates according to the trading entity registration application;

[0013] Determining a response capacity test type of the load-class virtual power plant according to the market trading type and regulation requirements in which the load-class virtual power plant participates; the response capacity test type includes an electric energy type or a demand response type;

[0014] Performing a capacity test on the load-class virtual power plant according to the response capacity test type and obtaining response capacity test data of the load-class virtual power plant.

[0015] In one embodiment, the response capacity test type includes an electric energy type, and the response capacity test data includes first power-time relationship data; wherein, performing a capacity test on the load-class virtual power plant according to the response capacity test type and obtaining response capacity test data of the load-class virtual power plant includes:

[0016] Sending an electric energy type regulation instruction to the load-class virtual power plant;

[0017] Obtaining first power-time relationship data of the load-class virtual power plant in response to the electric energy type regulation instruction; the first power-time relationship data is used to represent the relationship between the output power of the load-class virtual power plant after being regulated by the electric energy type regulation instruction and time.

[0018] In one embodiment, the response capacity test type includes a demand response type, and the response capacity test data includes a baseline power and second power-time relationship data; wherein, performing a capacity test on the load-class virtual power plant according to the response capacity test type and obtaining response capacity test data of the load-class virtual power plant includes:

[0019] Sending a demand response type regulation instruction to the load-class virtual power plant;

[0020] Obtaining the baseline power of the load-class virtual power plant and second power-time relationship data of the load-class virtual power plant in response to the demand response type regulation instruction; the second power-time relationship data is used to represent the relationship between the output power of the load-class virtual power plant after being regulated by the demand response type regulation instruction and time.

[0021] In one embodiment, before performing the capacity test on the load virtual power plant according to the response capacity test type, the method further includes:

[0022] Reviewing whether the target aggregated users of the load virtual power plant have signed a load management agreement according to the trading entity registration application; wherein, there is an agency relationship between the target aggregated users and the load virtual power plant;

[0023] In the case where the target aggregated users have signed the load management agreement, performing the step of performing the capacity test on the load virtual power plant according to the response capacity test type.

[0024] In one embodiment, the response capacity test indexes include at least one of regulation capacity, response time, maximum ramp rate, regulation rate, regulation error, duration, response interval, regulation depth, and regulation reliability; wherein,

[0025] The regulation capacity is used to represent the difference between the maximum average power and the minimum average power of the load virtual power plant within a preset time period;

[0026] The response time is used to represent the time duration between the start moment of the regulation instruction and the moment when the regulation dead zone power is first reached by the load virtual power plant;

[0027] The maximum ramp rate is used to represent the maximum unidirectional power change rate of the load virtual power plant at two adjacent moments;

[0028] The regulation rate is used to represent the power change rate of the load virtual power plant from the start moment of the regulation instruction to the moment when the steady-state control error range of the target regulation capacity is first reached;

[0029] The regulation error is used to represent the percentage of the deviation between the actual power regulation amount and the target power regulation amount of the load virtual power plant in the target power regulation amount;

[0030] The duration is used to represent the time duration between the moment when the target regulation capacity steady-state control error range is first reached and the moment when the target regulation capacity steady-state control error range is first jumped out during the regulation process of the load virtual power plant;

[0031] The response interval is used to represent the duration between the end moment of the previous regulation and the moment when the next regulation jumps out of the dead zone of the load virtual power plant;

[0032] The regulation depth is used to represent the maximum value of the actual regulated power of the load virtual power plant minus the power at the start moment;

[0033] The adjustment reliability is used to represent the ratio of the accumulated value of the duration during which the actual adjustment capacity of the load-type virtual power plant is within the steady-state control error range of the target adjustment capacity to the adjustment period.

[0034] In one embodiment, the qualification review of the virtual power plant according to the operator registration application submitted by the virtual power plant and obtaining the qualification review result includes:

[0035] Conduct a preliminary review of the software and hardware system qualification materials provided by the virtual power plant according to the operator registration application submitted by the virtual power plant;

[0036] In the case where the preliminary review is passed and the virtual power plant is connected to the power load management system, conduct system joint debugging and safety testing;

[0037] In the case where the system joint debugging and safety testing are passed, determine that the qualification review result of the virtual power plant is passed.

[0038] This application provides a comprehensive testing device for a virtual power plant, and the device includes:

[0039] A qualification review module, configured to conduct a qualification review of the virtual power plant according to the operator registration application submitted by the virtual power plant and obtain the qualification review result;

[0040] An ability testing module, configured to conduct an ability test according to the trading entity registration application submitted by the load-type virtual power plant and obtain the response ability test data of the load-type virtual power plant; the load-type virtual power plant is the virtual power plant with a passed qualification review result among the virtual power plants;

[0041] An index determination module, configured to determine the response ability test index of the load-type virtual power plant according to the response ability test data; the response ability test index is used to represent the adjustable ability of the load-type virtual power plant;

[0042] An ability review module, configured to determine the trading entity registration result of the load-type virtual power plant according to the response ability test index.

[0043] This application provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0044] This application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0045] The above-mentioned comprehensive testing method, device, computer equipment and storage medium for virtual power plants conduct qualification review on virtual power plants according to the operator registration applications submitted by virtual power plants, and obtain the qualification review results. Conduct capacity tests according to the trading entity registration applications submitted by load-type virtual power plants, and obtain the response capacity test data of load-type virtual power plants. Determine the response capacity test indicators of load-type virtual power plants according to the response capacity test data, and determine the trading entity registration results of load-type virtual power plants according to the response capacity test indicators. This method conducts comprehensive testing on virtual power plants from two different dimensions of access qualification and regulation capacity, improves the technical requirements of virtual power plants, and fills the gap in the comprehensive testing of virtual power plants. Moreover, this method conducts qualification review on the access qualifications of virtual power plants, ensuring the legality and reliability of virtual power plants participating in the electricity market transactions. On this basis, conduct regulation capacity tests on load-type virtual power plants with qualified qualifications, ensuring the stability and reliability of virtual power plants operating in the power system, and ensuring that virtual power plants providing electricity-related services have high regulation capacity and response capacity. Description of the Drawings

[0046] Figure 1 It is a schematic flowchart of the comprehensive testing method for virtual power plants in one embodiment;

[0047] Figure 2 It is a schematic flowchart of the comprehensive testing method for virtual power plants in another embodiment;

[0048] Figure 3 It is a schematic flowchart of the comprehensive testing method for virtual power plants in yet another embodiment;

[0049] Figure 4 It is a curve graph showing the relationship between the output power and time of the electrical energy type capacity test in one embodiment;

[0050] Figure 5 It is a curve graph showing the relationship between the output power and time of the demand response type capacity test in one embodiment;

[0051] Figure 6 It is a schematic flowchart of the comprehensive testing method for virtual power plants in still another embodiment;

[0052] Figure 7 It is a structural block diagram of the comprehensive testing device for virtual power plants in one embodiment;

[0053] Figure 8 It is an internal structure diagram of computer equipment in one embodiment. Detailed Embodiments

[0054] In order to make the objectives, technical solutions and advantages of the present application more clear and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] The technical requirements for virtual power plants in related technologies are relatively basic. The access qualifications mainly focus on the total capacity of aggregated distributed energy. For example, it is required that the effective capacity is not less than 5 megawatts and the flexible adjustment ability is not less than 1 megawatt. The communication and control capabilities only need to meet the reception and execution of basic dispatching instructions. In terms of the adjustment ability test, it mainly examines the load increase and decrease ability of the virtual power plant under simple working conditions, has low requirements for adjustment accuracy and response speed, and has less test on the integration ability of distributed energy, and pays more attention to the change of overall output power.

[0056] There are many deficiencies in the above-mentioned technical requirements for virtual power plants: their access qualifications and adjustment ability tests do not fully consider the intermittency and volatility of new energy, and it is difficult to adapt to complex working conditions; the requirements for communication and control capabilities are relatively low, resulting in a lack of flexibility in virtual power plants and being unable to quickly respond to market and dispatching instructions; there are few tests on the integration ability of distributed energy, which restricts the exertion of its flexibility adjustment value.

[0057] In response to this, the embodiments of the present application provide a comprehensive test method for virtual power plants, which improves the technical requirements for virtual power plants, effectively fills the gap in the comprehensive test of virtual power plants, and provides a strong guarantee for the safe, reliable and efficient operation of virtual power plants.

[0058] In some embodiments, as Figure 1 and Figure 2 shown, a comprehensive test method for virtual power plants is provided. In this embodiment, an example is given where this method is applied to a terminal. It can be understood that this method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is realized through the interaction between the terminal and the server. In this embodiment, the method includes the following steps S102 to step S106.

[0059] S102: Conduct qualification review on the virtual power plant according to the operator registration application submitted by the virtual power plant, and obtain the qualification review result.

[0060] The registration application is used to represent the permission for the virtual power plant to request to carry out power business. When the virtual power plant submits the registration application, it can submit relevant materials in accordance with the operator registration requirements. For example, virtual power plant operators can refer to the "Administrative Measures for Power Retail Companies" and provide registration applications in accordance with the power market registration management regulations.

[0061] The relevant materials submitted by the virtual power plant for operator registration application may include the operator registration application form and the qualification materials of the software and hardware systems. Among them, the software and hardware qualification materials may include the classified protection assessment report (such as level 2 or above), the function and performance test report, the system function specification, the relevant operation personnel dispatching receiving order qualification certificate, the load management agreement, the grid connection dispatching agreement, etc.

[0062] In the application, the virtual power plant may submit an operator registration application to the power trading center, and the power trading center shall cooperate with the power load management center to conduct qualification review on the virtual power plant, and obtain the qualification review result accordingly. The qualification review result is used to indicate whether the qualification review of the virtual power plant operator has passed.

[0063] The qualification review may include but is not limited to reviewing the capacity conditions of the virtual power plant, whether it has the qualification of an independent legal person, whether it has completed the registration of the power sales company and meets the guarantee requirements, and whether the software and hardware system qualification materials are qualified.

[0064] In the case where the qualification review result is not passed, the virtual power plant may be notified to make rectifications. In the case where the qualification review is passed, the information of the virtual power plant with the qualification review passed may be publicized through the power trading center. Without any objections, it may be stored in the virtual power plant management directory, and the registration of the virtual power plant operator shall come into effect. In the application, the operation of the virtual power plant operator in the virtual power plant management directory may be continuously managed in accordance with regulations such as the Measures for the Administration of Power Sales Companies.

[0065] S104: Conduct a capacity test according to the trading entity registration application submitted by the load virtual power plant, and obtain the response capacity test data of the load virtual power plant; the load virtual power plant is the virtual power plant with the qualification review result passed in the virtual power plant.

[0066] The load virtual power plant is a type of virtual power plant. It aggregates user resources and participates in various market trading varieties including demand response and electric energy market trading. The core function of the load virtual power plant is to utilize the aggregated load resources, adjust the power consumption mode through the demand response mechanism, and also participate in the electric energy market trading to achieve the optimal allocation and economic operation of the load resources. Therefore, the business scope of the load virtual power plant is not limited to the demand response mechanism, but also includes various forms such as the electric energy market trading.

[0067] In the embodiment of the present application, the load virtual power plant is the virtual power plant with the qualification review result passed. It should be noted that if the qualification review result of the load virtual power plant submitting the trading entity registration application is not passed, the load virtual power plant needs to be notified to first pass the qualification review, and then proceed with the trading entity registration review process after the qualification review result is passed.

[0068] The capacity test refers to the adjustable capacity test of the load-type virtual power plant. In application, after the load-type virtual power plant and all aggregated users complete the agreement signing, a suitable test plan can be designed and the adjustable capacity test can be carried out on the load-type virtual power plant.

[0069] The response capacity test data refers to the relevant data of the load-type virtual power plant during the adjustable capacity test. The response capacity test data can be used to represent the relationship between the output power of the load-type virtual power plant and time. In application, an adjustment instruction can be sent to the load-type virtual power plant, and the output power and the corresponding time when the load-type virtual power plant responds to the adjustment instruction can be collected.

[0070] S106: Determine the response capacity test index of the load-type virtual power plant according to the response capacity test data; the response capacity test index is used to represent the adjustable capacity of the load-type virtual power plant.

[0071] In application, according to the response capacity test data, the response capacity test index of the load-type virtual power plant can be calculated according to the registration requirements of the trading entity, and this response capacity test index can reflect the adjustable capacity of the load-type virtual power plant. The index dimensions of the response capacity test index can include load increase and decrease capacity, adjustment accuracy, response speed, integration capacity of distributed energy, etc., and can be set accordingly according to the registration requirements of the trading entity in practice.

[0072] S108: Determine the registration result of the trading entity of the load-type virtual power plant according to the response capacity test index.

[0073] When the response capacity test index meets the preset adjustable capacity requirements, it is determined that the registration result of the trading entity of the load-type virtual power plant passes, that is, the load-type virtual power plant has the qualification to participate in the power market to provide power-related services. When the response capacity test index does not meet the preset adjustable capacity requirements, it is determined that the registration result of the load-type virtual power plant entity fails, and the load-type virtual power plant can be notified to make rectifications.

[0074] The comprehensive testing method for a virtual power plant provided in the above embodiments conducts qualification review on the virtual power plant according to the operator registration application submitted by the virtual power plant, and obtains the qualification review result. It conducts capacity testing according to the trading entity registration application submitted by the load virtual power plant, and obtains the response capacity test data of the load virtual power plant. It determines the response capacity test indicators of the load virtual power plant according to the response capacity test data, and determines the trading entity registration result of the load virtual power plant according to the response capacity test indicators. This method conducts comprehensive testing on the virtual power plant from two different dimensions of access qualification and regulation ability, improves the technical requirements of the virtual power plant, and fills the gap in the comprehensive testing of the virtual power plant. Moreover, this method reviews the access qualification of the virtual power plant, ensuring the legality and reliability of the virtual power plant's participation in the electricity market transaction. On this basis, it conducts regulation ability testing on the load virtual power plants with qualified qualifications, ensuring the stability and reliability of the virtual power plant's operation in the power system, and ensuring that the virtual power plants providing electricity-related services have high regulation ability and response ability.

[0075] In some embodiments, as Figure 3 shown, step S104, conducting capacity testing according to the trading entity registration application submitted by the load virtual power plant, and obtaining the response capacity test data of the load virtual power plant, includes the following steps S302 to S306.

[0076] S302: Determine the market trading type and regulation requirements participated by the load virtual power plant according to the trading entity registration application.

[0077] S304: Determine the response capacity test type of the load virtual power plant according to the market trading type and regulation requirements participated by the load virtual power plant; the response capacity test type includes the electric energy type or the demand response type.

[0078] S306: Conduct capacity testing on the load virtual power plant according to the response capacity test type, and obtain the response capacity test data of the load virtual power plant.

[0079] The electric energy type refers to a trading entity of a virtual power plant that participates in the electric energy market transaction and adjusts the output of the aggregated resources in real time to adapt to the dynamic changes of the market. The electric energy type focuses on real-time regulation and instantaneously adjusts the electric energy supply or demand according to the market signal.

[0080] The demand response type refers to a trading entity of a virtual power plant that participates in the demand response market transaction and realizes peak shaving and valley filling by arranging users to adjust their electricity loads during specific periods on a daily basis. The demand response type focuses on daily planned regulation and arranges users to adjust their electricity loads during specific periods in advance.

[0081] During the testing process, different types of load-based virtual power plants will conduct corresponding capacity tests according to the types of market transactions they participate in and the regulation requirements. The key focus of the testing for energy-based virtual power plants lies in real-time response capabilities, while the key focus of the testing for demand response-based virtual power plants lies in day-ahead planning regulation capabilities. Through these tests, key indicators such as the regulation capabilities, response times, and regulation rates of virtual power plants can be evaluated, thereby determining their adjustable capabilities in the market.

[0082] The comprehensive testing method for virtual power plants provided by the above embodiments determines the types of market transactions and regulation requirements that load-based virtual power plants participate in according to the registration applications of trading entities, and determines the response capacity test types of load-based virtual power plants according to the types of market transactions and regulation requirements that load-based virtual power plants participate in; the response capacity test types include energy-based or demand response-based; capacity tests are conducted on load-based virtual power plants according to the response capacity test types, and response capacity test data of load-based virtual power plants are obtained. In this way, the actual operation efficiency and market adaptability of load-based virtual power plants can be evaluated based on the response capacity test data, providing accurate data support for testing the adjustable capabilities of load-based virtual power plants; in addition, this method can adaptively adjust the adjustable capacity test scheme for different types of load-based virtual power plants, improving the accuracy and flexibility of the adjustable capacity test for load-based virtual power plants.

[0083] In some embodiments, before conducting capacity tests on load-based virtual power plants according to the response capacity test types, the comprehensive testing method for virtual power plants further includes: the step of reviewing whether the target aggregated users of load-based virtual power plants have signed load management agreements according to the registration applications of trading entities. Among them, there is an agency relationship between the target aggregated users and the load-based virtual power plants. Based on this, in the case where the target aggregated users have signed load management agreements, the aforementioned step S306 is executed, that is, capacity tests are conducted on load-based virtual power plants according to the response capacity test types.

[0084] In application, after the virtual power plant operator registers successfully, an agency contract can be signed with the aggregated users to participate in demand response or energy market transactions, bind the signed users and trading units, and the aggregated users need to sign load management agreements. Among them, for users participating in energy transactions, the aggregation relationship is consistent with the energy retail agency relationship. For users participating in non-energy market transaction varieties, the aggregation relationship may not be consistent, but the aggregation relationship for participating in ancillary services needs to be consistent with the demand response agency relationship.

[0085] Among them, the aggregation relationship refers to the agency relationship between the virtual power plant operator and the aggregated users (i.e., electricity users participating in transactions), which is established through signing agency contracts (such as demand response agency contracts or electricity energy retail contracts) to bind the signed users to the virtual power plant trading unit and participate in electricity market transactions. The electricity energy retail agency relationship refers to an agency relationship between an electricity retailer and end-users. Under this relationship, the electricity retailer acts as an intermediary, mainly purchasing electric energy from the wholesale electricity market and then reselling it to end-users.

[0086] When the aggregation relationship is consistent with the electricity energy retail agency relationship, it means that the aggregation agency contract signed by the electricity user and the virtual power plant operator is simultaneously the electricity energy retail contract signed by this user and the electricity retailer. In other words, the virtual power plant operator is not only responsible for aggregating users to participate in electricity market transactions (such as demand response or electricity energy market transactions), but also directly undertakes the role of selling electricity energy to users. In this case, the virtual power plant operator and the electricity retailer are the same entity, and users complete all processes of electricity energy procurement and market transactions through the same operator.

[0087] When the aggregation relationship is inconsistent with the electricity energy retail agency relationship, it means that the aggregation agency contract signed by the electricity user and the virtual power plant operator and the electricity energy retail contract signed by the user and the electricity retailer are two different contractual relationships. In this case, the virtual power plant operator is only responsible for aggregating users to participate in specific market transactions (such as demand response, ancillary services, etc.), while the electricity energy procurement of users is still completed through another electricity retailer. Users participate in electricity energy market transactions and ancillary service market transactions such as demand response through different entities.

[0088] The aggregation relationship mentioned above mainly refers to the agency contract signed by the virtual power plant operator and the aggregated users for participating in demand response or electricity energy market transactions. The core of this relationship is to aggregate the load resources of users and participate in electricity market transactions through the virtual power plant operator to achieve load optimization and economic operation. The aggregation relationship for participating in ancillary services is a relationship specifically for participating in ancillary service market transactions. The ancillary service market includes services such as frequency regulation, reserve, and reactive power compensation, which are crucial for the stable operation of the power grid. In this case, the aggregation relationship needs to meet the specific requirements of the ancillary service market, such as response speed, regulation ability, etc. Compared with the previous aggregation relationship, the aggregation relationship for participating in ancillary services pays more attention to technical performance and response ability to ensure that it can quickly and effectively provide ancillary services to the power grid.

[0089] The demand response agency relationship refers to the relationship established between the virtual power plant operator and the aggregated users through signing a demand response agency contract. Under this relationship, the users agree to adjust their electricity consumption load (such as reducing electricity consumption or adjusting the electricity consumption time) according to the instructions of the virtual power plant operator under specific conditions to respond to the demand signals of the power grid. This relationship is mainly used in demand response market transactions to help the power grid reduce the load during peak hours or increase the load during off-peak hours, thereby optimizing the operation efficiency and reliability of the power grid. The core of the demand response agency relationship is to achieve the optimization and economic operation of the power grid load through flexible adjustment on the user side.

[0090] In some embodiments, the response capacity test type includes the electric energy type, and the response capacity test data includes the first power-time relationship data. Based on this, in step S306, the capacity test is performed on the load type virtual power plant according to the response capacity test type, and the response capacity test data of the load type virtual power plant is obtained, including the following steps: sending an electric energy type adjustment instruction to the load type virtual power plant, and obtaining the first power-time relationship data of the load type virtual power plant in response to the electric energy type adjustment instruction. In this way, the response capacity test index of the electric energy type load type virtual power plant can be determined according to the first power-time relationship data, so as to realize the adjustable capacity test of the electric energy type load type virtual power plant.

[0091] Among them, the electric energy type adjustment instruction is used to adjust the load type virtual power plant of the electric energy type. For example, the electric energy type adjustment instruction can be used to indicate that the output power of the load type virtual power plant of the electric energy type is adjusted to the target adjustment power of the electric energy type. Among them, the target adjustment power of the electric energy type can be indicated by the electric energy type adjustment instruction.

[0092] The number of the electric energy type adjustment instructions can be set accordingly according to the capacity test requirements. For example, it can be 1, 2 or other appropriate values, and no excessive limitation is made here. The target adjustment powers indicated by different electric energy type adjustment instructions can be different or the same.

[0093] Among them, the first power-time relationship data is used to represent the relationship between the output power of the load type virtual power plant after being adjusted by the electric energy type adjustment instruction and time. Exemplarily, the first power-time relationship data includes the relationship curve between the output power of the load type virtual power plant after receiving the electric energy type adjustment instruction and time. As Figure 4 shown, a schematic diagram of the relationship curve between the output power of the load type virtual power plant after receiving the electric energy type adjustment instruction and time is provided.

[0094] In an application, multiple response capability data pairs can be collected after a load virtual power plant of the electric energy type starts to adjust in response to an electric energy type adjustment instruction. Each response capability data pair includes the output power and the corresponding moment, and a power-time relationship curve can be plotted based on the multiple response capability data pairs as the first power-time relationship data.

[0095] In some embodiments, the response capability test type includes demand response type, and the response capability test data includes the baseline power and the second power-time relationship data. Based on this, in step S306, the load virtual power plant is tested for its capability according to the response capability test type, and the response capability test data of the load virtual power plant is obtained, including the following steps: sending a demand response type adjustment instruction to the load virtual power plant, obtaining the baseline power of the load virtual power plant, and the second power-time relationship data of the load virtual power plant in response to the demand response type adjustment instruction. In this way, the response capability test index of the demand response type load virtual power plant can be determined based on the baseline power and the second power-time relationship data, so as to realize the adjustable capability test of the demand response type load virtual power plant.

[0096] Among them, the demand response type adjustment instruction is used to adjust the load virtual power plant of the demand response type. For example, the demand response type adjustment instruction can be used to indicate that the output power of the demand response type load virtual power plant is adjusted to the target adjustment power of the demand response type. Among them, the target adjustment power of the demand response type can be indicated by the demand response type adjustment instruction.

[0097] The number of demand response type adjustment instructions can be set accordingly according to the capability test requirements. For example, it can be 1, 2, or other appropriate values, which are not limited here too much. The target adjustment powers indicated by different demand response type adjustment instructions can be different or the same.

[0098] Among them, the baseline power refers to the expected power consumption level when no demand response event occurs, that is, under normal operation of the power system. The baseline power reflects the normal power consumption pattern of the aggregated users without external adjustment instructions, and is the basis for evaluating the demand response effect and calculating the adjustment amount. In an application, the normal power consumption level of users when no demand response event occurs can be determined by analyzing the historical power consumption data of the aggregated users and using statistical or prediction models, so as to determine the baseline power of the demand response type virtual power plant.

[0099] The second power-time relationship data is used to represent the relationship between the output power of the load virtual power plant after being adjusted by the demand response type adjustment instruction and time. Exemplarily, the second power-time relationship data includes the relationship curve between the output power of the load virtual power plant after receiving the demand response type adjustment instruction and time. As Figure 5As shown, a schematic diagram of the relationship curve between the output power and time after a load - type virtual power plant receives a demand - response - type regulation instruction and is regulated is provided.

[0100] In an application, multiple response - ability data pairs after a load - type virtual power plant responsive to a demand - response - type regulation instruction starts to regulate can be collected. Each response - ability data pair includes output power and the corresponding moment, and a power - time relationship curve can be plotted based on the multiple response - ability data pairs as second power - time relationship data.

[0101] In some embodiments, the response - ability test indexes include at least one of regulation capacity, response time, maximum ramp rate, regulation rate, regulation error, duration, response interval, regulation depth, and regulation reliability.

[0102] Among them, the regulation capacity is used to represent the difference between the maximum average power and the minimum average power of the load - type virtual power plant within a preset time period.

[0103] The response time is used to represent the time duration between the starting moment of the regulation instruction and the moment when the load - type virtual power plant first reaches the regulation dead - zone power.

[0104] The maximum ramp rate is used to represent the maximum unidirectional power change rate of the load - type virtual power plant between two adjacent moments.

[0105] The regulation rate is used to represent the power change rate of the load - type virtual power plant from the starting moment of the regulation instruction to the moment when it first reaches the steady - state control error range of the target regulation capacity.

[0106] The regulation error is used to represent the percentage of the deviation between the actual power regulation amount and the target power regulation amount of the load - type virtual power plant in the target power regulation amount.

[0107] The duration is used to represent the time duration between the moment when the load - type virtual power plant first reaches the steady - state control error range of the target regulation capacity and the moment when it first jumps out of the steady - state control error range of the target regulation capacity during the regulation process.

[0108] The response interval is used to represent the duration between the end moment of the previous regulation and the moment when the load - type virtual power plant jumps out of the dead - zone for the next regulation.

[0109] The regulation depth is used to represent the maximum value of the actual regulated power of the load - type virtual power plant minus the power at the starting moment.

[0110] The regulation reliability is used to represent the ratio of the accumulated value of the duration during which the actual regulation capacity of the load - type virtual power plant is within the steady - state control error range of the target regulation capacity to the regulation period.

[0111] The following is combined with Figure 4, the process of determining the response ability test indicators of the virtual power plant of the electric energy load type is described.

[0112] As Figure 4 shown, P1 and P6 respectively represent the actual power of the virtual power plant of the electric energy load type at the starting moment when receiving the electric energy regulation instruction.

[0113] P2 and P7 respectively represent the regulation dead zone power that the virtual power plant of the electric energy load type reaches for the first time after receiving the electric energy regulation instruction.

[0114] P3 and P8 respectively represent the power within the steady-state control error range (1 ± Q%) of the target regulation capacity. Among them, Q, as the steady-state control error, is one of the important parameters when testing the regulation ability of the virtual power plant, which reflects the deviation range between the actual power output and the target power after the virtual power plant is regulated to the target capacity. Q can be comprehensively designed according to multiple factors such as grid stability requirements, technical performance of the virtual power plant, and test purposes. For example, it can be 1, 5, 10 or other appropriate values, and no more limitations are made here.

[0115] P4 and P9 respectively represent the power of 90% of the target regulation capacity.

[0116] P5 and P 10 respectively represent the target regulation power.

[0117] P max and P min respectively represent the maximum and minimum values of the actual regulation power. Among them, P max represents the maximum value of the actual regulation power, and P min represents the minimum value of the actual regulation power.

[0118] Pn represents the actual power of the virtual power plant of the electric energy load type.

[0119] t1 and t9 respectively represent the starting moments when the virtual power plant receives the regulation instruction. The virtual power plant may perform multiple regulations within a day. t1 is the starting moment of the first regulation, that is, the first time it receives the electric energy regulation instruction; t9 is the starting moment of the second regulation after the first regulation ends, that is, the second time it receives the electric energy regulation instruction.

[0120] t2 represents the moment when the regulation dead zone power is reached for the first time after t1. t 10 represents the moment when the regulation dead zone power is reached for the first time after t9.

[0121] t3 represents the moment when the steady-state control error range (1 ± Q%) of the target regulation capacity is reached for the first time after t1. t 11 represents the moment when the steady-state control error range (1 ± Q%) of the target regulation capacity is reached for the first time after t9.

[0122] t4 represents the moment when the target regulation capacity first reaches 90% after t1. t 12 represents the moment when the target regulation capacity first reaches 90% after t9. The target regulation capacity can be indicated by a regulation instruction.

[0123] t5 and t 13 respectively represent the moments when the actual regulation power reaches its maximum and minimum values. Among them, t5 represents the moment when the actual regulation power reaches its maximum value. t 13 respectively represents the moment when the actual regulation power reaches its minimum value.

[0124] t6 represents the moment when it first jumps out of the steady-state control error range (1 ± Q%) of the target regulation capacity after t1. t 14 represents the moment when it first jumps out of the steady-state control error range (1 ± Q%) of the target regulation capacity after t9.

[0125] t7 represents the moment when it reaches the steady-state control error range (1 ± Q%) of the target regulation capacity again after t3. t 15 represents t 11 the moment when it reaches the steady-state control error range (1 ± Q%) of the target regulation capacity again after that.

[0126] t8 represents the moment when it jumps out of the steady-state control error range (1 ± Q%) of the target regulation capacity again after t6.

[0127] t 16 represents the end moment of the regulation period.

[0128] Among them, the power relationships between different moments are as follows:

[0129] (1)

[0130] (2)

[0131] (3)

[0132] (4)

[0133] (5)

[0134] (6)

[0135] Based on the above, the calculation process of the response ability test index of the load-type virtual power plant of the electric energy type can be expressed by the following formula.

[0136] The regulation capacity can be expressed as:

[0137] (7)

[0138] Among them, ΔP(T) is the regulation capacity in period T; P max,ave (T) is the maximum average power that can be achieved in period T; P min,ave (T) is the minimum average power that can be achieved in period T. Among them, period T is any period within the regulation cycle. P max,ave (T) and P min,ave (T) can be calculated by using integration respectively.

[0139] The response time can be expressed as:

[0140] (8)

[0141] (9)

[0142] The maximum ramping rate can be expressed as:

[0143] (10)

[0144] Among them, K is the maximum ramping rate; (t i+1 -t i ) is the time difference between two adjacent moments of the virtual power plant, and the maximum unit time is 15 minutes; (P i+1 -P i ) is the unidirectional power change amount between two adjacent moments of the virtual power plant.

[0145] The regulation rate can be expressed as:

[0146] (11)

[0147] (12)

[0148] The regulation error can be expressed as:

[0149] (13)

[0150] (14)

[0151] The duration can be expressed as:

[0152] (15)

[0153] (16)

[0154] The response interval can be expressed as:

[0155] (17)

[0156] The adjustment depth can be expressed as:

[0157] (18)

[0158] (19)

[0159] The adjustment reliability can be expressed as:

[0160] (20)

[0161] (21)

[0162] Next, in combination with Figure 5 , the process of determining the response ability test indexes of the demand response type load virtual power plant will be described.

[0163] As Figure 5 shown, P base1 and P base2 respectively represent the baseline power of the demand response type load virtual power plant. Among them, P base1 represents the baseline power corresponding to the moment t1, and P base2 represents the baseline power corresponding to the moment t9.

[0164] P1 and P6 respectively represent the actual power of the demand response type load virtual power plant at the starting moment when receiving the demand response type adjustment instruction.

[0165] P2 and P7 respectively represent the adjustment dead zone power that the demand response type load virtual power plant reaches for the first time after receiving the demand response type adjustment instruction.

[0166] P3 and P8 respectively represent the power within the steady-state control error range (1 ± Q%) of the target adjustment capacity. Among them, Q, as the steady-state control error, is one of the important parameters when testing the adjustment ability of the virtual power plant. It reflects the deviation range between the actual power output and the target power of the virtual power plant after adjusting to the target capacity. Q can be comprehensively designed according to multiple factors such as the requirements of grid stability, the technical performance of the virtual power plant, and the test purpose. For example, it can be 1, 5, 10 or other appropriate values, and no more limitations are made here.

[0167] P4 and P9 respectively represent the power of 90% of the target adjustment capacity.

[0168] P5 and P 10 respectively represent the target adjustment power.

[0169] P max and P min respectively represent the maximum and minimum values of the actual adjustment power. Among them, Pmax Represents the maximum value of the actual adjustment power, P min Represents the minimum value of the actual adjustment power.

[0170] P represents the actual power of the demand response - type load virtual power plant.

[0171] t1 and t9 respectively represent the starting moments when the virtual power plant receives the adjustment instructions. The virtual power plant may perform multiple adjustments within a day. t1 is the starting moment of the first adjustment, that is, the first time it receives the demand response - type adjustment instruction; t9 is the starting moment of the second adjustment after the first adjustment, that is, the second time it receives the demand response - type adjustment instruction.

[0172] t2 represents the moment when the adjustment dead - zone power is first reached after t1. t 10 Represents the moment when the adjustment dead - zone power is first reached after t9.

[0173] t3 represents the moment when the steady - state control error range of the target adjustment capacity (1 ± Q%) is first reached after t1. t 11 Represents the moment when the steady - state control error range of the target adjustment capacity (1 ± Q%) is first reached after t9.

[0174] t4 represents the moment when 90% of the target adjustment capacity is first reached after t1. t 12 Represents the moment when 90% of the target adjustment capacity is first reached after t9. The target adjustment capacity can be indicated by the adjustment instruction.

[0175] t5 and t 13 respectively represent the moments when the maximum and minimum values of the actual adjustment power are reached. Among them, t5 represents the moment when the maximum value of the actual adjustment power is reached. t 13 respectively represent the moments when the minimum value of the actual adjustment power is reached.

[0176] t6 represents the moment when the target adjustment capacity steady - state control error range (1 ± Q%) is first exceeded after t1. t 14 Represents the moment when the target adjustment capacity steady - state control error range (1 ± Q%) is first exceeded after t9.

[0177] t7 represents the moment when the target adjustment capacity steady - state control error range (1 ± Q%) is reached again after t3. t 15 Represents t 11 the moment when the target adjustment capacity steady - state control error range (1 ± Q%) is reached again after that.

[0178] t8 represents the moment when the target adjustment capacity steady - state control error range (1 ± Q%) is exceeded again after t6.

[0179] t 16 Represents the end moment of the adjustment cycle.

[0180] Among them, the power relationship between different moments is as follows:

[0181] (22)

[0182] (23)

[0183] (24)

[0184] (25)

[0185] (26)

[0186] (27)

[0187] Based on the above, the calculation process of the response ability test index of the demand response type load virtual power plant can be expressed by the following formula.

[0188] The regulation capacity can be expressed as:

[0189] (28)

[0190] Among them, ΔP(T) is the regulation capacity at time T; P max,ave (T) is the maximum average power that can be reached at time T; P min,ave (T) is the minimum average power that can be reached at time T. Among them, the T time period is any time period within the regulation cycle. P max,ave (T) and P min,ave (T) can be calculated by using integration respectively.

[0191] The response time can be expressed as:

[0192] (29)

[0193] (30)

[0194] The maximum ramp rate can be expressed as:

[0195] (31)

[0196] Among them, K is the maximum ramp rate; (t i+1 -t i ) is the time difference between two adjacent moments of the virtual power plant, and the maximum unit time is 15 minutes; (P i+1 -P i ) is the unidirectional power change amount between two adjacent moments of the virtual power plant.

[0197] The regulation rate can be expressed as:

[0198] (32)

[0199] (33)

[0200] The regulation error can be expressed as:

[0201] (34)

[0202] (35)

[0203] The duration can be expressed as:

[0204] (36)

[0205] (37)

[0206] The response interval can be expressed as:

[0207] (38)

[0208] The regulation depth can be expressed as:

[0209] (39)

[0210] (40)

[0211] The regulation reliability can be expressed as:

[0212] (41)

[0213] (42)

[0214] Based on the above, after calculating the response ability test indexes of the load virtual power plant, it is possible to judge whether the response ability or adjustable ability of the load virtual power plant meets the registration requirements of the trading entity by comparing the corresponding ability test indexes with the corresponding preset thresholds, so as to determine the registration result of the trading entity.

[0215] In some embodiments, in step S102, the qualification of the virtual power plant is audited according to the operator registration application submitted by the virtual power plant, and the qualification audit result is obtained, including the following steps: preliminarily auditing the software and hardware system qualification materials provided by the virtual power plant according to the operator registration application submitted by the virtual power plant; in the case that the preliminary audit is passed and the virtual power plant is connected to the power load management system, conducting system joint debugging and safety testing; in the case that the system joint debugging and safety testing are passed, determining that the qualification audit result of the virtual power plant is passed. In this way, the audit of the access qualification of the virtual power plant is realized, including but not limited to capacity conditions, whether it has independent legal person status, whether it has completed the registration of the electricity sales company and meets the guarantee requirements, and whether it has a classified protection evaluation report, a function and performance test report, a system function specification, etc. The system access test of the virtual power plant is also realized, providing qualification guarantee for the subsequent electricity trading and power-related service provision of the virtual power plant, which helps to improve the reliability of the power system.

[0216] In application, the virtual power plant can submit an operator registration application to the power trading center, and the power trading center collaborates with the load management center to conduct the qualification audit.

[0217] Among them, the power trading center can audit the integrity of the qualification materials submitted by the virtual power plant, including the classified protection evaluation report, the function test and performance test report, the system function specification and field description table, the dispatching order receiving qualification certificate, the load management agreement, and the grid connection dispatching agreement.

[0218] The load management center can, according to the software and hardware system materials, audit whether the software and hardware system of the virtual power plant has functions such as information processing, operation monitoring, business management, metering supervision, and control execution, and whether it meets the system function requirements, system performance requirements, data interaction requirements, security protection requirements, etc. specified in the "Relevant Technical Requirements for Virtual Power Plants Connecting to the New-Type Power Load Management System". Specifically, audit whether the classified protection evaluation report (level 2 or above) is issued by an institution with the service certification qualification of the network security classified evaluation and detection and evaluation institution; audit whether the function test and performance test report is issued by a third-party institution with the qualification ability meeting the relevant requirements, and whether the report content meets the relevant technical requirements. Audit whether the system function specification and field description table provided by the virtual power plant operator technical support system conform to the information interaction interface specification of the new-type power load management system. For the operators of power generation type virtual power plants and load type direct control virtual power plants applying for access, audit whether their relevant operation personnel have obtained the dispatching order receiving qualification. For the operators of load type virtual power plants applying for access, audit whether they have signed a load management agreement with the power load management center; for the operators of power generation type virtual power plants and load type direct control virtual power plants applying for access, audit whether they have signed a grid connection dispatching agreement with the relevant dispatching agency.

[0219] It should be noted that before the virtual power plant applies for registration, it needs to sign a load management agreement with the load management center.

[0220] In some embodiments, in combination with Figure 2 , such as Figure 6 shown, a comprehensive testing method for a virtual power plant is provided, and this method may include the following steps S602 to step S622.

[0221] S602: Registration application and material review.

[0222] The load management center signs a load management agreement with the virtual power plant. The virtual power plant refers to the "Administrative Measures for Power Retail Companies", and in accordance with the regulations on power market registration management, handles the operator registration application through the power trading platform. The power trading center reviews the basic registration materials of the virtual power plant operator and synchronizes them to the power load management center.

[0223] S604: Review of software and hardware system qualification materials.

[0224] The software and hardware system qualification materials that the virtual power plant needs to provide include level protection assessment reports (level 2 and above), function and performance test reports, system function specifications, relevant operation personnel dispatching order qualification certificates, load management agreements, grid connection dispatching agreements, etc.

[0225] S606: Qualification review.

[0226] The power load management center reviews the operator qualification materials such as software and hardware system qualification materials, and those that do not meet the requirements need to be supplemented within 10 working days.

[0227] S608: System access.

[0228] After the qualification materials pass the review, the load management center notifies the virtual power plant to access the new power load management system within 5 working days, and conducts system joint debugging and security testing, including the deployment of commercial cipher SDK (Software Development Kit) and national cipher algorithm certificates, communication and vulnerability, penetration testing, etc. In case of problems, rectification needs to be carried out within 10 working days. Among them, system joint debugging and security testing can include communication testing and security testing.

[0229] S610: Publicity content and procedures.

[0230] After the virtual power plant qualification review, joint debugging and security testing are passed, the power trading center publicizes the registered information of the operators who have passed the review and access, the publicity period is 1 month, and those without objections are included in the virtual power plant directory, and the virtual power plant operator registration comes into effect.

[0231] S612: Management of continuously meeting registration conditions.

[0232] The power trading center continuously manages the operation of virtual power plant operators with reference to the Measures for the Administration of Power Retailers.

[0233] S614: Contract signing.

[0234] After the virtual power plant operator is successfully registered, it signs an agency contract with the aggregated users, participates in demand response or electricity energy market transactions, binds the signed users and trading units, and the aggregated users need to sign a load management agreement.

[0235] S616: Agency relationship management.

[0236] For users participating in electricity energy transactions, the aggregation relationship shall be consistent with the electricity energy retail agency relationship; for users participating in non-electricity energy market trading varieties, the aggregation relationship may not be consistent, but the aggregation relationship for participating in ancillary services shall be consistent with the demand response agency relationship.

[0237] S618: Application for capacity test and determination.

[0238] The operator applies to the power trading center for registering as a trading entity and submits an application form for capacity test and determination. The power trading center pushes relevant information to the power load management center. Among them, the relevant information pushed includes the virtual power plant operator and trading entity code, the metering points of aggregated users, and the application form for capacity test and determination.

[0239] S620: Aggregated user review.

[0240] The power load management center reviews whether all aggregated users have completed signing the load management agreement. For those not signed, the operator organizes supplementary signing, that is, organizes the aggregated users to sign the load management agreement and connect to the load management system. After all users have completed the agreement signing, the load management center can organize the virtual power plant operator to carry out the capacity test and determination of the trading entity.

[0241] S622: Capacity test and determination.

[0242] The power load management center notifies the operator to carry out the capacity test and determination of the trading entity within 5 working days. The trading entity that passes the determination is registered and becomes effective. The capacity test and determination process can be entrusted by the load management center to the test center for corresponding test items according to the virtual power plant type and variety.

[0243] Specifically, during the capacity test and recognition process, the adjustable capacity test of the load-type virtual power plant can be carried out according to the electric energy type and demand response type. Specifically, it can be divided into 9 response capacity test indicators for testing, including regulation capacity, response time, maximum ramp rate, regulation rate, regulation error, duration, response interval, regulation depth, and regulation reliability. The specific test process can refer to the relevant introductions and relevant formulas mentioned above, which will not be elaborated here. After the test is completed, the test center can push the test results to the load management center and issue a report, and the load management center will push the capacity test and recognition report to the virtual power plant. In the case of passing the capacity test and recognition, it is confirmed that the registration of the virtual power plant trading entity is successful.

[0244] After the registration of the virtual power plant trading entity is successful and it enters the market, the load management center can organize the test center to conduct regular verification of the adjustable capacity, that is, entrusted verification and recognition work. The test center conducts regular capacity verification and testing on the virtual power plant. This verification and testing process can refer to the aforementioned adjustable capacity test. The test center can push the verification results to the load management center and issue a report, and the load management center will regularly report the adjustable capacity verification results to the virtual power plant. In addition, the virtual power plant can also entrust the test center to conduct platform function testing on the technical support system of the virtual power plant.

[0245] The comprehensive test method of the virtual power plant provided in the above embodiments improves the technical requirements of the virtual power plant and realizes the comprehensive test of the virtual power plant in two different dimensions of access qualification and regulation capacity. Specifically, in terms of access qualification, the virtual power plant needs to meet the capacity conditions, have independent legal personality, complete the registration of the electricity sales company and meet the guarantee requirements, and at the same time provide relevant materials of the software and hardware system, including the level protection assessment report, function and performance test report, system function description, etc., and need to pass the qualification review and system access test. The test requirements for regulation capacity include the test of multi-dimensional indicators such as regulation capacity, response time, maximum ramp rate, regulation rate, regulation error, duration, response interval, regulation depth, and regulation reliability to ensure that the virtual power plant has high-precision regulation capacity and flexible response capacity. In addition, it also involves requirements such as agency relationship management, data source and baseline load calculation, and transaction unit aggregation standard to ensure the stable operation of the virtual power plant in the new power system and its effective participation in market transactions.

[0246] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown in the direction of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of the steps or stages in other steps or other steps.

[0247] Based on the same inventive concept, an embodiment of the present application further provides a comprehensive test device for a virtual power plant for implementing the comprehensive test method of the virtual power plant involved above. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the comprehensive test device for the virtual power plant provided below can refer to the limitations on the comprehensive test method of the virtual power plant in the above text, and will not be repeated here.

[0248] In some embodiments, as Figure 7 shown, a comprehensive test device 700 for a virtual power plant is provided, including: a qualification review module 701, an ability test module 702, an index determination module 703, and an ability review module 704. Among them, the qualification review module 701 is used to conduct a qualification review on the virtual power plant according to the operator registration application submitted by the virtual power plant and obtain the qualification review result. The ability test module 702 is used to conduct an ability test according to the trading entity registration application submitted by the load virtual power plant and obtain the response ability test data of the load virtual power plant; the load virtual power plant is the virtual power plant whose qualification review result passes among the virtual power plants. The index determination module 703 is used to determine the response ability test index of the load virtual power plant according to the response ability test data; the response ability test index is used to represent the adjustable ability of the load virtual power plant. The ability review module 704 is used to determine the trading entity registration result of the load virtual power plant according to the response ability test index.

[0249] The comprehensive test device 700 for a virtual power plant provided by the above embodiment performs qualification review on the virtual power plant through the qualification review module 701 according to the operator registration application submitted by the virtual power plant and obtains the qualification review result. The capacity test module 702 performs a capacity test according to the trading entity registration application submitted by the load virtual power plant and obtains the response capacity test data of the load virtual power plant. The index determination module 703 determines the response capacity test index of the load virtual power plant according to the response capacity test data, and the capacity review module 704 determines the trading entity registration result of the load virtual power plant according to the response capacity test index. This method comprehensively tests the virtual power plant from two different dimensions of access qualification and regulation ability, improves the technical requirements of the virtual power plant, and fills the gap in the comprehensive test of the virtual power plant. Moreover, this method reviews the access qualification of the virtual power plant, ensuring the legality and reliability of the virtual power plant's participation in the electricity market transaction. On this basis, it conducts a regulation ability test on the load virtual power plants with qualified qualifications, ensuring the stability and reliability of the virtual power plant's operation in the power system and ensuring that the virtual power plants providing power-related services have high regulation ability and response ability.

[0250] In some embodiments, the capacity test module is further configured to determine the market trading type and regulation requirements for which the load virtual power plant participates according to the trading entity registration application; determine the response capacity test type of the load virtual power plant according to the market trading type and regulation requirements for which the load virtual power plant participates; the response capacity test type includes an electric energy type or a demand response type; perform a capacity test on the load virtual power plant according to the response capacity test type and obtain the response capacity test data of the load virtual power plant.

[0251] In some embodiments, the response capacity test type includes an electric energy type, and the response capacity test data includes first power-time relationship data; wherein, the capacity test module is further configured to send an electric energy type regulation instruction to the load virtual power plant; obtain the first power-time relationship data of the load virtual power plant in response to the electric energy type regulation instruction; the first power-time relationship data is used to represent the relationship between the output power of the load virtual power plant after being regulated by the electric energy type regulation instruction and time.

[0252] In some embodiments, the response capacity test type includes a demand response type, and the response capacity test data includes a baseline power and second power-time relationship data; wherein, the capacity test module is further configured to send a demand response type regulation instruction to the load virtual power plant; obtain the baseline power of the load virtual power plant and the second power-time relationship data of the load virtual power plant in response to the demand response type regulation instruction; the second power-time relationship data is used to represent the relationship between the output power of the load virtual power plant after being regulated by the demand response type regulation instruction and time.

[0253] In some embodiments, the comprehensive test device of the virtual power plant further includes a judgment module. The judgment module is used to, before conducting a capacity test on the load virtual power plant according to the response capacity test type, review whether the target aggregated users of the load virtual power plant have signed a load management agreement based on the registration application of the trading entity; wherein, there is an agency relationship between the target aggregated users and the load virtual power plant. The capacity test module is further used to conduct a capacity test on the load virtual power plant according to the response capacity test type when the target aggregated users have signed the load management agreement.

[0254] In some embodiments, the qualification review module is further used to conduct a preliminary review on the software and hardware system qualification materials provided by the virtual power plant according to the operator registration application submitted by the virtual power plant; in the case where the preliminary review is passed and the virtual power plant is connected to the power load management system, conduct system joint debugging and safety testing; in the case where the system joint debugging and safety testing are passed, determine that the qualification review result of the virtual power plant is passed.

[0255] Each module in the above comprehensive test device of the virtual power plant can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in the form of hardware or be independent of it, or can be stored in the memory of the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to the above modules.

[0256] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 8 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, 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 the computer program in the non-volatile storage medium. The network 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, it realizes a comprehensive test method for a virtual power plant.

[0257] Those skilled in the art can understand that Figure 8 the structure shown in

[0258] is only a block diagram of some structures 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 those shown in the figure, or combine some components, or have a different component layout. In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps of the foregoing method are realized.

[0259] 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 steps of the foregoing method are implemented.

[0260] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps of the foregoing method are implemented.

[0261] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data that have been authorized by the user or fully authorized by all parties.

[0262] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing 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 methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories 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), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memories can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0263] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, 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, it should be considered as the scope recorded in this specification.

[0264] The above-described embodiments merely represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the patent of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A comprehensive testing method for a virtual power plant, characterized in that, The method includes: Conducting qualification review on the virtual power plant according to the operator registration application submitted by the virtual power plant, and obtaining the qualification review result; Conducting a capacity test according to the trading entity registration application submitted by the load virtual power plant, and obtaining the response capacity test data of the load virtual power plant; the load virtual power plant is the virtual power plant that passes the qualification review result among the virtual power plants; Determining the response capacity test index of the load virtual power plant according to the response capacity test data; the response capacity test index is used to represent the adjustable capacity of the load virtual power plant; Determining the trading entity registration result of the load virtual power plant according to the response capacity test index.

2. The method according to claim 1, wherein The conducting a capacity test according to the trading entity registration application submitted by the load virtual power plant, and obtaining the response capacity test data of the load virtual power plant includes: Determining the market trading type and regulation requirements participated by the load virtual power plant according to the trading entity registration application; Determining the response capacity test type of the load virtual power plant according to the market trading type and regulation requirements participated by the load virtual power plant; the response capacity test type includes an electric energy type or a demand response type; Conducting a capacity test on the load virtual power plant according to the response capacity test type, and obtaining the response capacity test data of the load virtual power plant.

3. The method according to claim 2, characterized in that, The response capacity test type includes the electric energy type, and the response capacity test data includes first power-time relationship data; wherein, the conducting a capacity test on the load virtual power plant according to the response capacity test type, and obtaining the response capacity test data of the load virtual power plant includes: Sending an electric energy type regulation instruction to the load virtual power plant; Obtaining the first power-time relationship data of the load virtual power plant in response to the electric energy type regulation instruction; the first power-time relationship data is used to represent the relationship between the output power of the load virtual power plant after being regulated by the electric energy type regulation instruction and time.

4. The method according to claim 2, wherein The response capacity test type includes the demand response type, and the response capacity test data includes a baseline power and second power-time relationship data; wherein, the conducting a capacity test on the load virtual power plant according to the response capacity test type, and obtaining the response capacity test data of the load virtual power plant includes: Sending a demand response type regulation instruction to the load virtual power plant; Obtaining the baseline power of the load virtual power plant, and the second power-time relationship data of the load virtual power plant in response to the demand response type regulation instruction; the second power-time relationship data is used to represent the relationship between the output power of the load virtual power plant after being regulated by the demand response type regulation instruction and time.

5. The method according to claim 2, wherein Before conducting a capacity test on the load virtual power plant according to the response capacity test type, the method further includes: Reviewing whether the target aggregated users of the load virtual power plant have signed a load management agreement according to the trading entity registration application; wherein, there is an agency relationship between the target aggregated users and the load virtual power plant. When the target aggregated user has signed a load management agreement, execute the step of performing the capacity test on the load type virtual power plant according to the response capacity test type.

6. The method according to any one of claims 1-5, characterized in that, The response capacity test indicators include at least one of regulation capacity, response time, maximum ramp rate, regulation rate, regulation error, duration, response interval, regulation depth, and regulation reliability; among them, The regulation capacity is used to represent the difference between the maximum average power and the minimum average power of the load type virtual power plant within a preset time period; The response time is used to represent the duration between the start time of the regulation command and the time when the regulation dead zone power is first reached by the load type virtual power plant; The maximum ramp rate is used to represent the maximum unidirectional power change rate of the load type virtual power plant between two adjacent moments; The regulation rate is used to represent the power change rate of the load type virtual power plant from the start time of the regulation command to the time when the steady-state control error range of the target regulation capacity is first reached; The regulation error is used to represent the percentage of the deviation between the actual power regulation amount and the target power regulation amount of the load type virtual power plant in the target power regulation amount; The duration is used to represent the duration between the time when the steady-state control error range of the target regulation capacity is first reached and the time when it first jumps out of the steady-state control error range of the target regulation capacity during the regulation process of the load type virtual power plant; The response interval is used to represent the duration between the end time of the previous regulation and the time when the next regulation jumps out of the dead zone by the load type virtual power plant; The regulation depth is used to represent the maximum value of the actual regulated power of the load type virtual power plant minus the power at the start time; The regulation reliability is used to represent the ratio of the accumulated value of the duration during which the actual regulation capacity of the load type virtual power plant is within the steady-state control error range of the target regulation capacity to the regulation cycle.

7. The method according to any one of claims 1-5, characterized in that, The qualification review of the virtual power plant according to the operator registration application submitted by the virtual power plant and obtaining the qualification review result includes: Conduct a preliminary review of the software and hardware system qualification materials provided by the virtual power plant according to the operator registration application submitted by the virtual power plant; When the preliminary review is passed and the virtual power plant is connected to the power load management system, conduct system joint debugging and safety testing; When the system joint debugging and safety testing are passed, determine that the qualification review result of the virtual power plant is passed.

8. An integrated test device for a virtual power plant, characterized in that, The device includes: A qualification review module, configured to conduct a qualification review of the virtual power plant according to the operator registration application submitted by the virtual power plant and obtain the qualification review result; A capacity test module, configured to conduct a capacity test according to the trading entity registration application submitted by the load type virtual power plant and obtain the response capacity test data of the load type virtual power plant; the load type virtual power plant is the virtual power plant with a passed qualification review result among the virtual power plants; An index determination module, configured to determine the response capacity test indicators of the load type virtual power plant according to the response capacity test data; the response capacity test indicators are used to represent the adjustable capacity of the load type virtual power plant. An ability review module, configured to determine the registration result of the trading entity of the load type virtual power plant according to the response ability test index.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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