Global monitoring method and system based on virtual power plant collaborative scheduling

Abstract

The application provides a global monitoring method and system based on virtual power plant collaborative scheduling, and belongs to the technical field of power distribution. The method comprises the following steps: determining an energy interaction target node and a node interaction strategy according to real-time decision of virtual power plant collaborative scheduling; dynamically generating a local monitoring network according to the node interaction strategy for an edge network connected with the energy interaction target node; obtaining a monitoring exception according to the local monitoring network; the abnormal type of the monitoring exception comprises a physical power supply exception and a service power supply exception; and re-scheduling is performed according to different abnormal types. The global monitoring method and system based on virtual power plant collaborative scheduling locally deploy a lightweight monitoring agent at the energy interaction target node, dynamically generate a local monitoring network for monitoring according to the node interaction strategy, only monitor key nodes, avoid data flooding in the whole network, and improve monitoring efficiency; the abnormal type is introduced to distinguish physical layer and service layer problems, avoid misjudgment, and the monitoring is more reliable.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution, in particular to a global monitoring method and system based on virtual power plant collaborative scheduling. BACKGROUND

[0002] With the transformation of energy structure to a high proportion of renewable energy, as a key technology for integrating distributed energy resources, virtual power plant has become an important means to improve the flexibility and economy of the power grid. Virtual power plant aggregates dispersed photovoltaic, energy storage and controllable load resources, participates in power market transactions and provides frequency modulation, backup and other auxiliary services.

[0003] Traditional virtual power plants mostly use centralized control architecture and rely on cloud servers for global optimization and scheduling, which has high risk of single point failure. Moreover, the monitoring system of the traditional virtual power plant usually uses a fixed sampling frequency and monitoring range, which cannot be dynamically adjusted according to real-time scheduling requirements. For example, when the power grid is running smoothly, all nodes are still monitored at a high frequency, causing waste of computing power, and during the emergency peak shaving period, it is difficult to find key node abnormalities in time due to insufficient monitoring granularity, affecting the operation efficiency and reliability.

[0004] Therefore, there is an urgent need for a global monitoring method and system based on virtual power plant collaborative scheduling to at least solve the above problems. SUMMARY

[0005] One of the purposes of the present application is to provide a global monitoring method and system based on virtual power plant collaborative scheduling. Through edge computing technology, a lightweight monitoring agent is deployed locally at the energy interaction target node. According to the node interaction strategy, a local monitoring network is dynamically generated for global monitoring, only monitoring key nodes, avoiding data flooding in the whole network, and improving monitoring efficiency. The introduction of abnormal types distinguishes physical layer and service layer problems, avoids misjudgment, and improves monitoring reliability.

[0006] The global monitoring method based on virtual power plant collaborative scheduling provided by the embodiment of the present application comprises:

[0007] Step 1: according to the real-time decision of virtual power plant collaborative scheduling, determine the energy interaction target node and the node interaction strategy;

[0008] Step 2: interface the edge network of the energy interaction target node, and dynamically generate a local monitoring network according to the node interaction strategy;

[0009] Step 3: according to the dynamically generated local monitoring network, perform global monitoring to obtain monitoring abnormalities, and the abnormal types of the monitoring abnormalities include physical power supply abnormalities and service power supply abnormalities;

[0010] Step 4: after the corresponding abnormal handling of the monitoring abnormalities according to the different abnormal types, the energy interaction target node is rescheduled.

[0011] Preferably, step 2: according to the node interaction strategy, the edge network of the energy interaction target node dynamically generates a local monitoring network, including:

[0012] According to the node interaction strategy and the monitoring project, a template is generated, and the monitoring project of each interaction time node is generated;

[0013] According to the interaction time node and the monitoring project, a verification network is constructed;

[0014] According to the monitoring project of each interaction time node, the monitoring data of the monitoring agent of the energy interaction target node is obtained through the edge network;

[0015] The verification network and the monitoring data are time-aligned, a communication link of the verification network and the monitoring data with the same timestamp is established, and a local monitoring network is obtained.

[0016] Preferably, step 4: after the corresponding abnormal handling of the monitoring abnormality according to the different abnormal types, the energy interaction target node is rescheduled, including:

[0017] If the abnormal type is a physical power supply abnormality, a first physical power supply isolation condition satisfied by the energy interaction target node is obtained;

[0018] After the physical power supply isolation of the first physical power supply isolation condition, a first abnormal handling strategy is determined according to the physical power supply abnormality content;

[0019] After the first abnormal handling strategy is handled, the corresponding energy interaction target node is rescheduled;

[0020] If the abnormal type is a service power supply abnormality, a second physical power supply isolation condition satisfied by the energy interaction target node is obtained;

[0021] After the physical power supply isolation of the second physical power supply isolation condition, a second abnormal handling strategy is determined according to the service power supply abnormality content;

[0022] After the second abnormal handling strategy is handled, the corresponding energy interaction target node is rescheduled.

[0023] Preferably, the first physical power supply isolation condition satisfied by the energy interaction target node is obtained, including:

[0024] The reserve information of the energy interaction target node is determined;

[0025] According to the reserve feature extraction template and the reserve information, the reserve feature is extracted;

[0026] According to the reserve feature, the emergency handling capability is judged;

[0027] If the emergency treatment can be handled, the physical power supply isolation of the corresponding energy interaction target node is carried out after the emergency treatment;

[0028] If the emergency treatment cannot be handled, the physical power supply isolation of the corresponding energy interaction target node is directly carried out.

[0029] Preferably, the reserve information includes: the first rotating reserve of the energy supply node, the first non-rotating reserve of the energy supply node, the second rotating reserve of the load node and the second non-rotating reserve of the load node.

[0030] Preferably, the second physical power supply isolation situation satisfied by the energy interaction target node is obtained, including:

[0031] If the importance value of the energy interaction task is greater than or equal to the importance value threshold, the physical power supply in the energy interaction task execution process is ensured, and the physical power supply isolation of the corresponding energy interaction target node is carried out after the energy interaction task is executed.

[0032] If the importance value is less than the importance value threshold, the physical power supply isolation of the corresponding energy interaction target node is directly carried out.

[0033] Preferably, the emergency treatment capability is determined according to the reserve characteristics, including:

[0034] The emergency strategy is matched according to the physical power supply abnormal content;

[0035] The emergency strategy is unfolded on the time axis;

[0036] The reserve description vector is constructed according to the reserve characteristics;

[0037] The reserve description vector is labeled on the time axis according to the first time range of the reserve description vector;

[0038] Each time axis point is traversed in turn from the starting axis point of the time axis, and the support reserve characteristic description vector preset by the emergency sub-strategy of the time axis point is matched with the reserve description combination vector of the time axis point;

[0039] After the reserve description vector labeled on the time axis after the time axis point is updated according to the second time range of the decomposed reserve description vector of the reserve description combination vector, the time axis point is continuously traversed;

[0040] If there is a situation that the reserve description combination vector cannot be matched in the traversal process, it is determined that there is no emergency treatment capability, otherwise there is an emergency treatment capability.

[0041] Preferably, the importance value threshold is determined according to the malicious value quantified according to the service power supply abnormal content.

[0042] The global monitoring system based on virtual power plant collaborative scheduling provided by the embodiment of the application comprises:

[0043] A node determination module is configured to determine an energy interaction target node and a node interaction strategy according to real-time decision of virtual power plant collaborative scheduling;

[0044] A local monitoring network generation module is configured to dynamically generate a local monitoring network according to the node interaction strategy and in connection with an edge network of the energy interaction target node;

[0045] A monitoring module is configured to perform global monitoring according to the dynamically generated local monitoring network, and obtain a monitoring exception, wherein an exception type of the monitoring exception includes a physical power supply exception and a service power supply exception;

[0046] A rescheduling module is configured to reschedule the energy interaction target node after corresponding exception processing of the monitoring exception according to different exception types.

[0047] The present application has the following beneficial effects:

[0048] The present application locally deploys a lightweight monitoring agent at an energy interaction target node through edge computing technology, dynamically generates a local monitoring network according to a node interaction strategy to perform global monitoring, and only monitors key nodes, thereby avoiding data flooding in the whole network and improving monitoring efficiency; the present application introduces an exception type to distinguish physical layer and service layer problems, thereby avoiding misjudgment and improving monitoring reliability.

[0049] Other features and advantages of the present application will be described in the following description and, in part, will become apparent to those skilled in the art upon examination of the following or can be learned by practice of the present application. The objects and other advantages of the present application can be achieved and attained by the structure particularly pointed out in the application and hereinafter more fully described and claimed.

[0050] The technical solutions of the present application will be further described in detail below with reference to the drawings and embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0051] The accompanying drawings are included to provide a further understanding of the present application and constitute a part of the specification, which together with the embodiments serve to explain the present application and do not constitute a limitation of the present application. In the drawings:

[0052] Figure 1 FIG. 1 is a schematic diagram of a global monitoring method based on virtual power plant collaborative scheduling in an embodiment of the present application;

[0053] Figure 2 FIG. 2 is a schematic diagram of a global monitoring system based on virtual power plant collaborative scheduling in an embodiment of the present application. DETAILED DESCRIPTION

[0054] The preferred embodiments of the present application will be described below with reference to the drawings, and it should be understood that the preferred embodiments described herein are only used to explain and illustrate the present application, and do not constitute a limitation of the present application.

[0055] The embodiment of the application provides a global monitoring method based on virtual power plant cooperative scheduling, as shown in the formula: Figure 1

[0056] Step 1: according to the real-time decision of the virtual power plant cooperative scheduling, determine the energy interaction target node and the node interaction strategy;

[0057] Wherein, the real-time decision is: the real-time access control strategy of the virtual power plant for realizing the unified management and control platform of the dispersed distributed energy resources for realizing the energy optimization target;

[0058] Wherein, the energy interaction target node is a specific distributed resource node in the virtual power plant network which needs to carry out energy input or output, such as: power generation node (wind farm, photovoltaic power station), energy storage node (battery energy storage) and load node (interruptible industrial load);

[0059] Wherein, the node interaction strategy is: the energy transmission strategy between the energy interaction target nodes for realizing the energy interaction task, including: energy flow direction, power size, time scale and priority;

[0060] Step 2: according to the node interaction strategy, dynamically generate a local monitoring network for the edge network of the energy interaction target node;

[0061] Wherein, step 2: according to the node interaction strategy, dynamically generate a local monitoring network for the edge network of the energy interaction target node, including:

[0062] According to the node interaction strategy and the monitoring project, generate a template to generate the monitoring project of each interaction time node;

[0063] ​The monitoring item generation template is a template for generating monitoring items of interaction behaviors in each interaction stage for the node interaction strategy comparison, and is set according to artificial monitoring experience. For example, according to the monitoring experience, it is determined that, in the interaction process of the wind power energy node A supplying energy to the controllable load node B, it is necessary to check, in the interaction preparation stage, that the ultra-short-term prediction error of wind power prediction data is less than 15% and the load adjustable capacity has sufficient flexibility to match wind power fluctuation, check, in the real-time execution stage, that the wind power ramping does not exceed the preset ramping limit and the controllable load accurately executes the reduction or transfer according to the instruction, and check, in the interaction termination stage, that the deviation between the actual consumption power and the actual generated power is less than the deviation threshold. Therefore, the monitoring item generation template is a template for generating monitoring items of the interaction strategy comparison of the energy supply node A to the controllable load node B, generating monitoring items for monitoring whether the ultra-short-term prediction error is less than 15% and whether the load adjustable capacity has sufficient flexibility to match wind power fluctuation before the energy supply node A supplies energy to the controllable load node B, generating monitoring items for monitoring whether the wind power ramping exceeds the preset ramping limit and whether the controllable load accurately executes the reduction or transfer according to the instruction when the energy supply node A supplies energy to the controllable load node B, and generating monitoring items for monitoring whether the deviation between the actual consumption power and the actual generated power is less than the deviation threshold after the energy supply node A supplies energy to the controllable load node B.

[0064] According to the interaction time nodes and the monitoring items, a verification network is constructed.

[0065] The verification network is a digital twin subnetwork constructed based on the node interaction strategy and the monitoring items, and is used to simulate an expected running state as a benchmark for data verification. The verification network is also connected to a data comparison engine.

[0066] According to the monitoring items of each interaction time node, monitoring data of a monitoring agent in the local energy interaction target node is obtained through an edge network.

[0067] The monitoring agent is a lightweight software module deployed in the local energy interaction target node, and is responsible for data collection and preliminary analysis tasks.

[0068] The verification network and the monitoring data are time-aligned, a communication link of the verification network and the monitoring data with the same timestamp is established, and a local monitoring network is obtained.

[0069] The local monitoring network is an execution network in which the verification network inputs expected data and monitoring data communicated therewith into a data comparison engine connected to the verification network for comparison and deviation alarm.

[0070] Step 3: According to the dynamically generated local monitoring network, global monitoring is performed to obtain monitoring exceptions. The types of the monitoring exceptions include physical power supply exceptions and service power supply exceptions.

[0071] The physical power supply anomaly is an anomaly of the physical layer that directly affects power quality and equipment safety, such as voltage sag, frequency out-of-limit, harmonic distortion and insulation fault.

[0072] The service power supply anomaly is a functional anomaly of the secondary system / market mechanism that does not affect the continuity of physical power supply, such as demand response default, data tampering and communication time delay exceeding the standard.

[0073] Step 4: After the corresponding abnormal handling of the monitoring anomaly according to the different types of anomalies, the energy interaction target node is rescheduled.

[0074] The above technical solutions have the following working principles and beneficial effects:

[0075] The above technical solutions have the following working principles and beneficial effects:

[0076] The present application introduces an edge computing technology, deploys a lightweight monitoring agent locally in an energy interaction target node, dynamically generates a local monitoring network for global monitoring according to a node interaction strategy, and only monitors key nodes, thereby avoiding a flood of network data and improving monitoring efficiency; the abnormal type is introduced to distinguish physical layer and service layer problems, avoid misjudgment, and improve monitoring reliability.

[0077] In one embodiment, step 4: after the corresponding abnormal handling of the monitoring anomaly according to the different types of anomalies, the energy interaction target node is rescheduled, including:

[0078] If the abnormal type is a physical power supply anomaly, a first physical power supply isolation condition satisfied by the energy interaction target node is obtained.

[0079] The first physical power supply isolation condition satisfied by the energy interaction target node includes:

[0080] The reserve information of the energy interaction target node is determined, and the reserve information includes: a first rotating reserve of the energy supply node, a first non-rotating reserve of the energy supply node, a second rotating reserve of the load node and a second non-rotating reserve of the load node.

[0081] Reserve features are extracted according to the reserve feature extraction template and the reserve information.

[0082] The reserve feature extraction template is a template for extracting different reserve features from the reserve information, such as response time, duration, adjustment rate, and rated capacity.

[0083] The emergency handling capability is determined according to the reserve features.

[0084] The emergency handling capability refers to the ability to call the first rotating reserve, the first non-rotating reserve, the second rotating reserve, and the second non-rotating reserve to handle physical power supply abnormalities, such as rapid increase of output on the energy supply side (such as gas turbines, hydroelectric units), minute-level start of cold standby units, and rapid reduction of load-side interruption resources.

[0085] If the emergency handling is possible, the physical power supply isolation of the corresponding energy interaction target node is performed after the emergency handling.

[0086] The emergency handling capability refers to the ability to dispatch the rotating and non-rotating reserves of the energy interaction target node to respond to physical power supply abnormalities.

[0087] If the emergency handling is not possible, the physical power supply isolation of the corresponding energy interaction target node is directly performed.

[0088] After the physical power supply isolation of the first physical power supply isolation scenario is performed, the first abnormality handling strategy is determined according to the physical power supply abnormality content.

[0089] The physical power supply abnormality content refers to the specific abnormality content of the abnormality type, such as voltage drop to 80%, frequency deviation of 0.5 Hz, and total harmonic distortion rate of 15%.

[0090] The first abnormality handling strategy is a handling strategy for the physical power supply abnormality matched according to the physical power supply abnormality content and the abnormality handling strategy library preset for the physical power supply abnormality.

[0091] After the handling based on the first abnormality handling strategy, the corresponding energy interaction target node is re-scheduled.

[0092] If the abnormality type is a service power supply abnormality, the second physical power supply isolation scenario satisfied by the energy interaction target node is obtained.

[0093] The second physical power supply isolation scenario satisfied by the energy interaction target node is obtained, including:

[0094] If the importance value of the energy interaction task is greater than or equal to the importance value threshold, the physical power supply in the energy interaction task execution process is ensured, and the physical power supply isolation of the corresponding energy interaction target node is performed after the energy interaction task execution is completed;

[0095] The importance value of the energy interaction task is quantified according to a quantification rule preset by a person;

[0096] If the importance value is less than the importance value threshold, the physical power supply isolation of the corresponding energy interaction target node is directly performed;

[0097] After the physical power supply isolation in the second physical power supply isolation situation is performed, a second abnormality processing strategy is determined according to service power supply abnormality content;

[0098] The service power supply abnormality content is specific abnormality content of an abnormality type of service power supply abnormality, for example, a factory promises to reduce 500 kW load during a peak period, and actually only reduces 200 kW;

[0099] The second abnormality processing strategy is a processing strategy for the service power supply abnormality matched according to the service power supply abnormality content and an abnormality processing strategy library preset for the service power supply abnormality;

[0100] After the second abnormality processing strategy is processed, the corresponding energy interaction target node is rescheduled.

[0101] The working principle and beneficial effects of the above technical solution are as follows:

[0102] The physical power supply isolation situation of the energy interaction target node is different before the abnormality is solved and rescheduling is performed, and blindly performing physical power supply isolation, interrupting power supply tasks and abnormality processing will cause great real loss, such as default responsibility of the electricity market, delay of important power transmission tasks and the like.

[0103] Therefore, the present application performs physical power supply isolation and subsequent abnormality processing according to the difference of the abnormality type, so as to reduce the loss caused by power supply abnormality.

[0104] Specifically, when the abnormality type is a physical power supply abnormality, the physical power supply isolation is not immediately performed, but the emergency properties of rotating reserves and non-rotating reserves are considered. The reserve feature extraction template is introduced to extract the reserve feature of the reserve information, and whether the abnormal energy interaction target node has emergency processing capability is determined according to the reserve feature. If the emergency processing can be performed, the physical power supply isolation of the corresponding energy interaction target node is performed after the emergency processing, so as to avoid the default responsibility of the electricity market and reduce economic loss.

[0105] When the abnormal type is a service power supply abnormality, the power supply physical layer is perfect, and thus the energy interaction target node has the ability to process the energy interaction task, but the service protocol layer has an abnormality. Therefore, the importance value of the energy interaction task is quantified, and if the importance value is greater than or equal to an importance value threshold, in order to avoid the delay of an important power transmission task, the physical power supply during the execution of the energy interaction task is ensured, and after the energy interaction task is completed, the physical power supply isolation of the corresponding energy interaction target node is performed, thereby improving the performance of the important power transmission task.

[0106] After the physical power supply isolation, the abnormality is processed according to the corresponding abnormality processing strategy library, and the corresponding energy interaction target node is rescheduled after the abnormality processing is completed.

[0107] The application does not immediately isolate the energy interaction target node when identifying the power supply abnormality of the energy interaction target node, but makes targeted research and judgment according to the different abnormal types and different physical isolation situations. Specifically, when the physical power supply is abnormal, the emergency processing capability determined according to the reserve information is used to determine whether to intervene in the emergency processing, so as to avoid the default responsibility of the power market as much as possible; when the service power supply is abnormal, the importance value of the energy interaction task is introduced, the power transmission task with high importance is completed in priority, and the corresponding energy interaction target node is traced back afterwards, which is more reasonable.

[0108] In one embodiment, the emergency processing capability is determined according to the reserve characteristics, including:

[0109] According to the content of the physical power supply abnormality, the emergency strategy is matched;

[0110] The emergency strategy is a strategy for emergency solution of the physical power supply abnormality by using rotating reserves and non-rotating reserves, and is matched by using an abnormality-emergency strategy mapping table, which is configured by a worker in advance. The abnormality-emergency strategy mapping table includes, for example: the abnormality is a continuous 1s frequency drop, and the emergency strategy is to call the rotating reserve response strategy (energy storage and hydroelectric unit) and the non-rotating reserve response strategy (gas turbine cold start); for another example: the abnormality is a generator trip, and the emergency strategy is to call the rotating reserve response strategy (gas turbine rapid climbing, pumped storage unit increase) and the non-rotating reserve response strategy (cross-province standby capacity calling).

[0111] The emergency strategy is unfolded on the time axis;

[0112] When the emergency strategy is unfolded on the time axis, the emergency sub-strategy of the corresponding reserve is unfolded according to the response time of the reserve;

[0113] A reserve description vector is constructed according to the reserve characteristics.

[0114] Wherein, when constructing the reserve description vector, the positions of the characteristic values of different reserve characteristic types in the vector are set by human beings in advance, such as: [response time, duration, adjustment rate, rated capacity]. Specifically, the rotating reserve vector of the gas turbine is, for example: [90 seconds, 4 hours, 12 MW / min, 300 MW]; the non-rotating reserve vector of the industrial load is, for example: [300 seconds, 2 hours, 1.5 MW / min, 50 MW];

[0115] Based on the first time range of the reserve description vector, the reserve description vector is labeled on the time axis;

[0116] Wherein, the first time range is the duration after the intervention time corresponding to the reserve description vector; the intervention time is determined according to the response time, and the initial response time is the time length after the response time of the starting axis point; the duration after the intervention time is determined according to the duration of the reserve description vector;

[0117] From the starting axis point of the time axis, each time axis point is traversed in turn, and the reserve description combination vector of the time axis point is matched according to the support reserve characteristic description vector of the emergency sub-strategy of the time axis point;

[0118] Wherein, the support reserve characteristic description vector is a characteristicized representation and description vector of the reserve response corresponding to the emergency sub-strategy, and the construction method is the same as that of the reserve description vector; when matching the reserve description combination vector of the time axis point, if one or more reserve description vectors of the time axis point match the support reserve characteristic description vector, then the one or more reserve description vectors are the reserve description combination vector;

[0119] After updating the reserve description vector labeled on the time axis after the time axis point according to the second time range of the decomposed reserve description vector of the reserve description combination vector, the time axis point is continued to be traversed;

[0120] Wherein, the decomposed reserve description vector is one or more reserve description vectors labeled on the time axis point and matching the support reserve characteristic description vector;

[0121] Wherein, the second time range is the time range in which the reserve corresponding to the decomposed reserve description vector is not allowed to intervene, and specifically, it is the time range of the duration length in the corresponding decomposed reserve description vector after the time axis point;

[0122] If there is a situation that the reserve description combination vector cannot be matched in the traversal process, it is determined that there is no emergency handling capacity, otherwise there is an emergency handling capacity;

[0123] Wherein, n is an integer greater than or equal to 1.

[0124] The working principle and beneficial effects of the above technical solution are:

[0125] The abnormal-emergency strategy mapping table is used to match the emergency strategy corresponding to the physical power supply abnormal content. At the same time, according to the initial intervention time of the reserve description vector and the duration after the intervention time, the reserve description vector is marked on the time axis. From the starting axis point of the time axis, each time axis point is traversed in turn, and the support reserve feature description vector corresponding to each time axis point and the reserve description vector marked on the time axis point are matched with the reserve description combination vector. According to the second time range of the decomposed reserve description vector of the reserve description combination vector, the subsequent intervention time of the corresponding reserve of the decomposed reserve description vector is limited, the matching reserve description vector of the subsequent time is updated in real time, and the determination efficiency of the subsequent reserve description combination vector is greatly improved.

[0126] In one embodiment, the importance value threshold is determined according to the malicious value quantified by the service power supply abnormal content.

[0127] In the process of quantifying the malicious value according to the service power supply abnormal content, the detection indexes of the abnormal content dimension are normalized and weighted to obtain the malicious value. For example, the detection index of the data tampering dimension is the power / state data deviation rate, the detection index of the denial of service dimension is the number of non-responding instructions / total instruction number, and the detection index of the resource invasion dimension is the number of unauthorized access API calls. The importance value threshold and the malicious value are equal in value.

[0128] The preset weight is the abnormal content dimension weight used in the historical importance value threshold experiment setting record of the minimum consequence loss.

[0129] The working principle and beneficial effects of the above technical solution are:

[0130] When determining the importance value threshold, the malicious value quantified by the service power supply abnormal content is used as the importance value threshold, so that the greater the malicious value, the higher the importance value threshold. In this way, the higher the energy interaction target node is, the higher the post-tracing threshold is, forming a dynamic post-tracing threshold setting mechanism, that is, the higher the malicious degree of the energy interaction target node, the more priority is given to the in-process tracing, which is more suitable.

[0131] The embodiment of the application provides a global monitoring system based on virtual power plant cooperative scheduling, as shown in Figure 2 The embodiment of the application provides a global monitoring system based on virtual power plant cooperative scheduling, as shown in

[0132] A node determination module 1 is configured to determine an energy interaction target node and a node interaction strategy according to real-time decision of virtual power plant collaborative scheduling;

[0133] A local monitoring network generation module 2 is configured to dynamically generate a local monitoring network according to the node interaction strategy and an edge network of the energy interaction target node;

[0134] A monitoring module 3 is configured to perform global monitoring according to the dynamically generated local monitoring network, and obtain a monitoring exception, wherein an exception type of the monitoring exception includes a physical power supply exception and a service power supply exception;

[0135] A rescheduling module 4 is configured to reschedule the energy interaction target node after corresponding exception handling of the monitoring exception according to different exception types;

[0136] The rescheduling module 4 reschedules the energy interaction target node after corresponding exception handling of the monitoring exception according to different exception types, and includes:

[0137] After performing physical power supply isolation of a first physical power supply isolation scenario, a first exception handling strategy is determined according to a physical power supply exception content;

[0138] After handling based on the first exception handling strategy, the corresponding energy interaction target node is rescheduled;

[0139] If the exception type is a service power supply exception, a second physical power supply isolation scenario satisfied by the energy interaction target node is obtained;

[0140] After performing physical power supply isolation of the second physical power supply isolation scenario, a second exception handling strategy is determined according to a service power supply exception content;

[0141] After handling based on the second exception handling strategy, the corresponding energy interaction target node is rescheduled;

[0142] The first physical power supply isolation scenario satisfied by the energy interaction target node includes:

[0143] Reserve information of the energy interaction target node is determined;

[0144] Reserve features are extracted according to a reserve feature extraction template and the reserve information;

[0145] Emergency handling capability is determined according to the reserve features;

[0146] If the emergency handling is possible, the corresponding energy interaction target node is physically isolated after emergency handling;

[0147] If the emergency handling is not possible, the corresponding energy interaction target node is directly physically isolated;

[0148] The second physical power supply isolation condition met by the energy interaction target node is obtained, and includes:

[0149] If the importance value of the energy interaction task is greater than or equal to the importance value threshold, the physical power supply in the energy interaction task execution process is ensured, and after the energy interaction task is executed, the physical power supply isolation of the corresponding energy interaction target node is performed;

[0150] If the importance value is less than the importance value threshold, the physical power supply isolation of the corresponding energy interaction target node is directly performed.

[0151] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. A global monitoring method based on virtual power plant collaborative scheduling, characterized in that, The method comprises the following steps: Step 1: determining an energy interaction target node and a node interaction strategy according to real-time decision of virtual power plant cooperative scheduling; Step 2: dynamically generating a local monitoring network according to the node interaction strategy and an edge network connected to the energy interaction target node; Step 3: performing global monitoring according to the dynamically generated local monitoring network, and obtaining a monitoring exception, wherein the exception type of the monitoring exception comprises a physical power supply exception and a service power supply exception; Step 4: performing corresponding exception processing on the monitoring exception according to different exception types, and then re-scheduling the energy interaction target node, comprising: if the exception type is the physical power supply exception, obtaining a first physical power supply isolation condition met by the energy interaction target node; performing physical power supply isolation of the first physical power supply isolation condition, determining a first exception processing strategy according to the physical power supply exception content, and performing re-scheduling of the corresponding energy interaction target node based on the first exception processing strategy; if the exception type is the service power supply exception, obtaining a second physical power supply isolation condition met by the energy interaction target node; performing physical power supply isolation of the second physical power supply isolation condition, determining a second exception processing strategy according to the service power supply exception content, and performing re-scheduling of the corresponding energy interaction target node based on the second exception processing strategy. Step 2: dynamically generating a local monitoring network according to the node interaction strategy and an edge network connected to the energy interaction target node, comprising: generating a monitoring project of each interaction time node according to the node interaction strategy and the monitoring project generation template; 2. The global monitoring method based on virtual power plant collaborative scheduling according to claim 1, characterized in that, constructing a verification network according to the interaction time node and the monitoring project; obtaining monitoring data of a monitoring agent of the energy interaction target node locally through the edge network according to the monitoring project of each interaction time node; aligning the verification network and the monitoring data in time, establishing a communication link of the verification network and the monitoring data with the same time stamp, and obtaining a local monitoring network. The first physical power supply isolation condition met by the energy interaction target node comprises: determining reserve information of the energy interaction target node; 3.The global monitoring method based on virtual power plant coordinated dispatching according to claim 1, wherein, extracting reserve characteristics according to the reserve characteristic extraction template and the reserve information; judging the emergency handling capacity according to the reserve characteristics; if the emergency handling capacity is available, performing physical power supply isolation of the corresponding energy interaction target node after emergency handling; if the emergency handling capacity is not available, directly performing physical power supply isolation of the corresponding energy interaction target node. The reserve information comprises a first rotating reserve of an energy supply node, a first non-rotating reserve of the energy supply node, a second rotating reserve of a load node, and a second non-rotating reserve of the load node. The second physical power supply isolation condition met by the energy interaction target node comprises: 4.The global monitoring method based on virtual power plant coordinated scheduling according to claim 3, wherein, if the importance value of the energy interaction task is greater than or equal to an importance value threshold, ensuring physical power supply in the energy interaction task execution process, and then performing physical power supply isolation of the corresponding energy interaction target node after the energy interaction task is completed; 5. The global monitoring method based on virtual power plant collaborative scheduling according to claim 1, characterized in that, if the importance value is less than the importance value threshold, directly performing physical power supply isolation of the corresponding energy interaction target node. The importance value threshold is determined according to a malicious value quantified according to the service power supply exception content. The method comprises the following steps:

6. The global monitoring method based on virtual power plant coordinated dispatching according to claim 5, characterized in that, ​ 7. A global monitoring system based on virtual power plant coordinated dispatching, characterized in that, ​ The node determination module is configured to determine an energy interaction target node and a node interaction strategy according to real-time decision of virtual power plant cooperative scheduling; The local monitoring network generation module is configured to dynamically generate a local monitoring network according to the node interaction strategy and an edge network of the energy interaction target node; The monitoring module is configured to perform global monitoring according to the dynamically generated local monitoring network, and obtain a monitoring exception; the abnormal type of the monitoring exception includes a physical power supply exception and a service power supply exception; The rescheduling module is configured to perform corresponding abnormal processing on the monitoring exception according to different abnormal types, and then reschedule the energy interaction target node; The rescheduling module performs the following operations: If the abnormal type is the physical power supply exception, a first physical power supply isolation condition satisfied by the energy interaction target node is obtained; After performing physical power supply isolation of the first physical power supply isolation condition, a first abnormal processing strategy is determined according to the content of the physical power supply exception; After processing based on the first abnormal processing strategy, the corresponding energy interaction target node is rescheduled; If the abnormal type is the service power supply exception, a second physical power supply isolation condition satisfied by the energy interaction target node is obtained; After performing physical power supply isolation of the second physical power supply isolation condition, a second abnormal processing strategy is determined according to the content of the service power supply exception; After processing based on the second abnormal processing strategy, the corresponding energy interaction target node is rescheduled. 8.The global monitoring system based on virtual power plant coordinated dispatching according to claim 7, wherein, The local monitoring network generation module dynamically generates a local monitoring network according to the node interaction strategy and an edge network of the energy interaction target node, and includes the following steps: A template is generated according to the node interaction strategy and a monitoring item, and monitoring items of each interaction time node are generated; A verification network is constructed according to the interaction time node and the monitoring item; Monitoring data of a monitoring agent in the energy interaction target node is obtained through the edge network according to the monitoring item of each interaction time node; The verification network and the monitoring data are time-aligned, a communication link of the verification network and the monitoring data with the same timestamp is established, and a local monitoring network is obtained.

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