Park ubiquitous micro-grid model construction method and device

Abstract

The invention relates to a park ubiquitous micro-grid model construction method and device. The park ubiquitous micro-grid model construction method comprises the following steps: acquiring common micro-grid park information when a micro-grid model is constructed by a plurality of parks; building a simulation topology template based on the common microgrid park information of the plurality of parks when the microgrid model is built; identifying and extracting the series-parallel connection relationship between the model devices in the primary wiring diagram of the target park and the information of each model device through image identification; and setting parameters of each model in the simulation topology template by taking the series-parallel connection relationship between the model equipment in the extracted primary wiring diagram and the information of each piece of model equipment as model parameters to obtain a park universal micro-grid model of the target park. In this way, the park universal micro-grid model can be flexibly adjusted according to the primary wiring diagram of the specific equipment of the target park, and the establishment speed and the establishment flexibility of the park universal micro-grid model can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of integrated energy systems, and in particular to a method for constructing a park ubiquitous energy microgrid model, a device for constructing a park ubiquitous energy microgrid model, a storage medium, and an electronic device. Background Art

[0002] The microgrid system is a complex system composed of distributed power generation, energy storage system, energy management system, on-grid and off-grid switching device, power load, coordination control and protection system, etc. These parts cooperate with each other and work closely together to achieve the flexible, efficient and stable operation of the microgrid. In order to facilitate the analysis of the current operating status of the integrated energy system, the diversity of the microgrid system composition and the complexity of energy flow are generally considered comprehensively. By establishing a quasi-steady-state model of various types of distributed generation and distributed energy storage contained in the microgrid, the operating status of the current integrated energy system can be analyzed on the basis of analyzing the composition and structural characteristics of typical microgrids. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure are intended to provide a method for constructing a campus ubiquitous energy microgrid model, a device for constructing a campus ubiquitous energy microgrid model, a storage medium, and an electronic device.

[0004] The technical solution of the present disclosure is achieved as follows:

[0005] In a first aspect, the present disclosure provides a method for constructing a campus ubiquitous energy microgrid model.

[0006] The method for constructing a campus ubiquitous energy microgrid model provided by the embodiment of the present disclosure includes:

[0007] Obtain the microgrid park information shared by multiple parks when building microgrid models;

[0008] Based on the microgrid park information shared by the multiple parks when constructing the microgrid model, a simulation topology template is built; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a photovoltaic storage control model and the connection relationship between the models;

[0009] Identify and extract the series-parallel relationship between model devices in the primary wiring diagram of the target park and information of each model device through image recognition;

[0010] The extracted series-parallel relationship between model devices in the primary wiring diagram and the information of each model device are used as model parameters, and parameters of each model in the simulation topology template are set to obtain the park ubiquitous energy microgrid model of the target park.

[0011] In some embodiments, the building of a simulation topology template based on the microgrid park information shared by the multiple parks when constructing the microgrid model includes:

[0012] Based on the constant voltage source model mechanism, the electricity metering point is defined as the voltage balance point, and the constant voltage source model in the simulation topology template is constructed;

[0013] Based on the distribution room model mechanism, construct the distribution room model in the simulation topology template;

[0014] Based on the high-voltage line model, construct a connection relationship between the distribution room model and the constant voltage source model in the simulation topology template;

[0015] Based on the electric load model mechanism, constructing the electric load model in the simulation topology template;

[0016] Based on the photovoltaic model mechanism, constructing the photovoltaic model in the simulation topology template;

[0017] Based on the low-voltage line model, the distribution room model in the simulation topology template is connected with the electric load model and the photovoltaic model respectively;

[0018] Based on the photovoltaic storage control model mechanism, the photovoltaic storage control model in the simulation topology template is constructed.

[0019] In some embodiments, the device information of each model includes at least the device number of each device and the access point of each device in the primary wiring diagram of the target park;

[0020] The identifying and extracting the series-parallel relationship between the model devices in the primary wiring diagram of the target park and the information of each model device by image recognition includes:

[0021] Through image recognition, the device number, access point of each device, and series and parallel connection relationship between each device in the constant voltage source equipment, distribution room equipment, high-voltage line equipment, low-voltage line equipment and optical storage control equipment in the primary wiring diagram of the target park are identified and extracted.

[0022] In some embodiments, including:

[0023] After the construction of the park ubiquitous energy microgrid model of the target park is completed, the IoT data of the target model in the park ubiquitous energy microgrid model of the target park is obtained;

[0024] Based on the IoT data of the target model, the target model in the park ubiquitous energy microgrid model is calibrated.

[0025] In some embodiments, including:

[0026] After the construction of the park ubiquitous energy microgrid model of the target park is completed, the operation simulation of the park ubiquitous energy microgrid model of the target park is carried out according to a typical day or a typical year, and the operation indicators of the park ubiquitous energy microgrid model are calculated; wherein the operation indicators of the park ubiquitous energy microgrid model at least include system operation indicators characterizing the overall operation status of the park ubiquitous energy microgrid model and model operation indicators of the operation status of each model.

[0027] In a second aspect, the present disclosure provides a device for constructing a park ubiquitous energy microgrid model, comprising:

[0028] An information acquisition module is used to obtain microgrid park information shared by multiple parks when constructing a microgrid model;

[0029] A template building module, used to build a simulation topology template based on the microgrid park information shared by the multiple parks when building the microgrid model; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a photovoltaic storage control model and the connection relationship between the models;

[0030] An information extraction module is used to identify and extract the series-parallel relationship between model devices and information of each model device in the primary wiring diagram of the target park through image recognition;

[0031] The model building module is used to extract the series-parallel relationship between the model devices in the primary wiring diagram and the information of each model device as model parameters, set parameters for each model in the simulation topology template, and obtain the park ubiquitous energy microgrid model of the target park.

[0032] In some embodiments, the template building module is used to

[0033] Based on the constant voltage source model mechanism, the electricity metering point is defined as the voltage balance point, and the constant voltage source model in the simulation topology template is constructed;

[0034] Based on the distribution room model mechanism, construct the distribution room model in the simulation topology template;

[0035] Based on the high-voltage line model, construct a connection relationship between the distribution room model and the constant voltage source model in the simulation topology template;

[0036] Based on the electric load model mechanism, constructing the electric load model in the simulation topology template;

[0037] Based on the photovoltaic model mechanism, constructing the photovoltaic model in the simulation topology template;

[0038] Based on the low-voltage line model, the distribution room model in the simulation topology template is connected with the electric load model and the photovoltaic model respectively;

[0039] Based on the photovoltaic storage control model mechanism, the photovoltaic storage control model in the simulation topology template is constructed.

[0040] In some embodiments, the device information of each model includes at least the device number of each device and the access point of each device in the primary wiring diagram of the target park;

[0041] The information extraction module is used to

[0042] Through image recognition, the device number, access point of each device, and series and parallel connection relationship between each device in the constant voltage source equipment, distribution room equipment, high-voltage line equipment, low-voltage line equipment and optical storage control equipment in the primary wiring diagram of the target park are identified and extracted.

[0043] In a third aspect, the present disclosure provides a computer-readable storage medium having a campus ubiquitous energy microgrid model construction program stored thereon. When the campus ubiquitous energy microgrid model construction program is executed by a processor, the campus ubiquitous energy microgrid model construction method described in the first aspect above is implemented.

[0044] In a fourth aspect, the present disclosure provides an electronic device comprising a memory, a processor, and a campus ubiquitous energy microgrid model construction program stored in the memory and executable on the processor. When the processor executes the campus ubiquitous energy microgrid model construction program, the campus ubiquitous energy microgrid model construction method described in the first aspect above is implemented.

[0045] According to the method for constructing a park ubiquitous energy microgrid model of an embodiment of the present disclosure, the method comprises: obtaining microgrid park information shared by multiple parks when constructing microgrid models; building a simulation topology template based on the microgrid park information shared by multiple parks when constructing microgrid models; wherein the simulation topology template at least comprises: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a light storage control model and the connection relationship between each model; identifying and extracting the series-parallel relationship between model devices and each model device information in the primary wiring diagram of the target park through image recognition; using the series-parallel relationship between model devices and each model device information in the extracted primary wiring diagram as model parameters, setting parameters for each model in the simulation topology template, and obtaining the park ubiquitous energy microgrid model of the target park. In the present application, the park ubiquitous energy microgrid model of the target park is obtained by constructing a simulation topology template and adjusting the specific model devices and the relationship between the model devices in the simulation topology template through model parameters, which is conducive to flexibly adjusting the park ubiquitous energy microgrid model according to the primary wiring diagram of the specific equipment of the target park, thereby facilitating the construction speed and construction flexibility of the park ubiquitous energy microgrid model.

[0046] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flow chart of a method for constructing a park ubiquitous energy microgrid model according to an exemplary embodiment;

[0048] Figure 2 is a diagram showing a process of constructing a park ubiquitous energy microgrid model according to an exemplary embodiment;

[0049] Figure 3 is a diagram 1 of a park ubiquitous energy microgrid model according to an exemplary embodiment;

[0050] Figure 4 is a second diagram of a campus ubiquitous energy microgrid model according to an exemplary embodiment;

[0051] Figure 5 It is a schematic diagram of the structure of a device for building a park ubiquitous energy microgrid model according to an exemplary embodiment. DETAILED DESCRIPTION

[0052] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0053] The microgrid system is a complex system composed of distributed power generation, energy storage system, energy management system, on-grid and off-grid switching device, power load, coordination control and protection system, etc. These parts cooperate with each other and work closely together to achieve the flexible, efficient and stable operation of the microgrid. In order to facilitate the analysis of the current operating status of the integrated energy system, the diversity of the microgrid system composition and the complexity of energy flow are generally considered comprehensively. By establishing a quasi-steady-state model of various types of distributed generation and distributed energy storage contained in the microgrid, the operating status of the current integrated energy system can be analyzed on the basis of analyzing the composition and structural characteristics of typical microgrids.

[0054] In view of the above situation, the present invention provides a method for constructing a park ubiquitous energy microgrid model. Figure 1 FIG. 1 is a flow chart of a method for constructing a park ubiquitous energy microgrid model according to an exemplary embodiment. Figure 1 As shown in the figure, the construction method of the park ubiquitous energy microgrid model includes:

[0055] Step 10: Obtain microgrid park information shared by multiple parks when constructing a microgrid model;

[0056] Step 11: Building a simulation topology template based on the microgrid park information shared by the multiple parks when constructing the microgrid model; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a photovoltaic storage control model, and the connection relationship between the models;

[0057] Step 12: Identify and extract the series-parallel relationship between model devices and information of each model device in the primary wiring diagram of the target park through image recognition;

[0058] Step 13: Using the extracted series-parallel relationship between model devices in the primary wiring diagram and information of each model device as model parameters, setting parameters for each model in the simulation topology template to obtain a park ubiquitous energy microgrid model of the target park.

[0059] In this exemplary embodiment, the microgrid park information specifically refers to the microgrid park power system information, such as transformers, cables, photovoltaics, energy storage and other equipment and equipment specification parameters.

[0060] In this exemplary embodiment, the electric load model is a mathematical model used to describe the active, reactive, voltage and current behaviors and characteristics of the load in the power system. The electric load model can be used to show the power consumption characteristics of a single customer in scenes such as equivalent factories and public buildings. The model can reflect the dynamic characteristics of the voltage, active and reactive power of the actual power system load over time.

[0061] The photovoltaic array model is a mathematical model used to describe the behavior and characteristics of solar photovoltaic cells in the process of converting sunlight into electrical energy; the photovoltaic array model can be used to analyze the photovoltaic power generation characteristics of new projects, operation and maintenance projects, etc. of rooftop photovoltaic and ground photovoltaic power stations; the photovoltaic array is composed of photovoltaic components in different series and parallel modes. In actual engineering applications, the input irradiance parameters will be corrected and equivalent through factors such as installation method, and then the photovoltaic array simulation model will be established using the multiplication method.

[0062] The power grid model is a mathematical model of the power source used to simulate the output of a substation or power station; the power grid model can be used to simulate the power access points in scenarios such as parks and public buildings, as a basis for flow calculation and analysis of their impact on the power grid; this model is a simplified model using a constant voltage source equivalent power grid, used to represent the impact of the power grid on the load. This model is usually used for steady-state analysis of power systems, where the voltage of the power grid is assumed to be constant and unaffected by load changes.

[0063] The cable model simulates the transmission characteristics of the cable in the power system through a mathematical model to display characteristics such as voltage drop and power loss. The cable model can be used for simulation analysis of low-voltage and medium-voltage cables laid in factories and public buildings to describe the relationship between voltage and current and the transmission characteristics.

[0064] In the steady-state analysis of the power system, the mathematical model of the power line is the equivalent line of the power line represented by resistance, reactance, susceptance, and conductance. Usually, it is assumed that no corona occurs in clear weather, and the leakage along the insulator is very small, so the conductance can be ignored. At the same time, considering that the cable length in the park is short, the line susceptance has little effect, and in order to reduce the complexity of the model, the susceptance can be ignored.

[0065] The power transformer model is a mathematical model that simulates the transformer using the principle of electromagnetic induction to change the AC voltage. The power transformer model is used in power transformer stations, substations, distribution rooms and other places to step up or step down the voltage of the transformer to transmit electric energy and distribute it to different power systems. In the application of transformers, it is often necessary to consider parameters such as resistance, inductance, and admittance between the main and secondary windings in order to accurately simulate the behavior of the transformer when designing and analyzing the power system.

[0066] The reactive power compensator model is a mathematical model used to simulate the reactive power compensation device of the power grid and to improve the power factor and voltage stability of the power system. The reactive power compensator model can be used for reactive power compensation on the low-voltage side of power substations, distribution rooms and other scenarios; the basic principle of the reactive power compensator is to provide reactive power by adjusting the phase relationship between the current and voltage in the power system, thereby maintaining the power factor of the power system. This model collects the real-time active power and reactive power of the power system, and adjusts the reactive power value of the reactive power compensator in real time based on the PID control strategy, so as to achieve the target power factor value set by the model.

[0067] The energy meter model is a mathematical model used to simulate the metering device of the power system. The energy meter can be used to measure voltage, current, power and other signals at the user side, low-voltage side of the transformer, photovoltaic inverter grid connection point and other locations in the power system, and transmit them to the control system; the energy meter is usually used to measure power consumption. It is an instrument used to record the use of electric energy. This instrument is usually installed on buildings or equipment to measure parameters such as phase voltage RMS, phase current RMS, power factor, active power and reactive power.

[0068] The battery model is a mathematical model used to simulate the charging and discharging operating characteristics of the battery in the power system. The battery model can evaluate its charging and discharging behavior in the power system and its impact on the operation of the power grid through simulation analysis, and is used to support the design, planning and operation decisions of the energy storage system.

[0069] The typical daylight solar-storage collaborative control model collects data on photovoltaic, energy storage and electricity load, and implements the optimal energy storage charging and discharging strategy model according to different electricity price periods of the day. The typical daylight solar-storage collaborative control model can be applied to the photovoltaic-storage microgrid scenario of a certain day to achieve peak shaving and valley filling, improve photovoltaic absorption rate, etc. This control module is based on the electricity price, photovoltaic curve, load curve, energy storage power capacity constraint and demand response time period at different times of a typical day, and generates optimization strategies under different operating conditions, and issues dispatch instructions based on priority or logical judgment. The specific process is as follows:

[0070] 1. First, determine which range of peak, flat and valley electricity prices the current moment is in;

[0071] 2. Secondly, determine whether the current energy storage SOC meets the charging and discharging requirements;

[0072] 3. Then adjust the energy storage charging and discharging strategy according to whether the current moment is in the demand response period;

[0073] 4. Then, determine whether to delay charging and discharging based on whether there is a lower or higher electricity price in the future from the current moment;

[0074] 5. Finally, the charging and discharging scheduling instructions are output according to the constraints of photovoltaic power, load power, and energy storage power capacity.

[0075] In this application, the power grid model == constant voltage source model, the distribution room model is a combination of the reactive power compensator model and the power transformer model, and the high-voltage line model and the low-voltage line model can be directly replaced by the cable model.

[0076] In this exemplary embodiment, the series-parallel relationship and device information of the primary wiring diagram of the microgrid park are identified. In this application, the information extraction of the primary wiring diagram can be realized by manual input or image recognition method. If the required information is not fully provided in the primary wiring diagram, manual input is required. Figure 3 FIG1 is a diagram of a campus ubiquitous energy microgrid model according to an exemplary embodiment. Figure 4 FIG2 is a diagram of a park ubiquitous energy microgrid model according to an exemplary embodiment. For example, Figure 3 , Figure 4 As shown, Figure 3 , Figure 4 For a microgrid park primary wiring diagram, the access point, distribution room, photovoltaic, energy storage and other equipment information are obtained through information extraction. For example, the constant voltage source model corresponds to the access point of the primary wiring diagram (the balance point known to the user, the access point of the power grid), and the park pan-energy microgrid model contains a constant voltage source model, a controller, an energy storage model, a high-voltage line and a low-voltage line. Among them, the controller is connected to the energy storage model. The high-voltage line contains a transformer and a reactive power compensator, and the low-voltage line contains an electric load and a photovoltaic model.

[0077] In this exemplary embodiment, the parameters that need to be obtained are the device number and the access point voltage, and stored in the database. For example, the model parameters are filled in the modelica simulation model according to the mapping relationship. For example, the parameters of the constant voltage source model obtained from the primary wiring diagram (access point voltage) need to be filled in the constant voltage source model parameters in the simulation topology obtained in step one. And so on, complete the filling of all model parameters. When a preset model of the simulation topology does not exist on the primary wiring diagram, the preset model parameters can be set to 0 (i.e., an empty model) without affecting the running results, which also improves the multi-scenario adaptability of the topology.

[0078] According to the method for constructing a park ubiquitous energy microgrid model of an embodiment of the present disclosure, the method comprises: obtaining microgrid park information shared by multiple parks when constructing microgrid models; building a simulation topology template based on the microgrid park information shared by multiple parks when constructing microgrid models; wherein the simulation topology template at least comprises: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a light storage control model and the connection relationship between each model; identifying and extracting the series-parallel relationship between model devices and each model device information in the primary wiring diagram of the target park through image recognition; using the series-parallel relationship between model devices and each model device information in the extracted primary wiring diagram as model parameters, setting parameters for each model in the simulation topology template, and obtaining the park ubiquitous energy microgrid model of the target park. In the present application, the park ubiquitous energy microgrid model of the target park is obtained by constructing a simulation topology template and adjusting the specific model devices and the relationship between the model devices in the simulation topology template through model parameters, which is conducive to flexibly adjusting the park ubiquitous energy microgrid model according to the primary wiring diagram of the specific equipment of the target park, thereby facilitating the construction speed and construction flexibility of the park ubiquitous energy microgrid model.

[0079] In some embodiments, the building of a simulation topology template based on the microgrid park information shared by the multiple parks when constructing the microgrid model includes:

[0080] Based on the constant voltage source model mechanism, the electricity metering point is defined as the voltage balance point, and the constant voltage source model in the simulation topology template is constructed;

[0081] Based on the distribution room model mechanism, construct the distribution room model in the simulation topology template;

[0082] Based on the high-voltage line model, construct a connection relationship between the distribution room model and the constant voltage source model in the simulation topology template;

[0083] Based on the electric load model mechanism, constructing the electric load model in the simulation topology template;

[0084] Based on the photovoltaic model mechanism, constructing the photovoltaic model in the simulation topology template;

[0085] Based on the low-voltage line model, the distribution room model in the simulation topology template is connected with the electric load model and the photovoltaic model respectively;

[0086] Based on the photovoltaic storage control model mechanism, the photovoltaic storage control model in the simulation topology template is constructed.

[0087] In this exemplary embodiment, based on the microgrid park information shared by the multiple parks when constructing the microgrid model, when building the simulation topology template, it is necessary to define the electricity metering point as the voltage balance point based on the constant voltage source model mechanism to construct the constant voltage source model in the simulation topology template; based on the distribution room model mechanism, construct the distribution room model in the simulation topology template; based on the high-voltage line model, construct the connection relationship between the distribution room model and the constant voltage source model in the simulation topology template; based on the electric load model mechanism, construct the electric load model in the simulation topology template; based on the photovoltaic model mechanism, construct the photovoltaic model in the simulation topology template; based on the low-voltage line model, connect the distribution room model in the simulation topology template with the electric load model and the photovoltaic model respectively; based on the photovoltaic storage control model mechanism, construct the photovoltaic storage control model in the simulation topology template. The constant voltage source model, distribution room model, electric load model, photovoltaic model, photovoltaic storage control model, etc. in the simulation topology template are constructed to obtain the simulation topology template.

[0088] In this exemplary embodiment, the electricity metering point is defined as the voltage balance point, and a constant voltage source model is constructed based on the mechanism;

[0089] The distribution room model is constructed based on the mechanism: including models such as transformers and reactive power compensators. At the same time, it is classified according to the number of transformers contained in the distribution room. For example, distribution room No. 1 means that the distribution room contains only 1 transformer, distribution room No. 2 means that the distribution room contains only 2 transformers, and so on. Assuming that there are n types of distribution rooms, considering that the number of each type of distribution room can be freely set according to parameters in the modelica environment, the number of models of each type of distribution room can be set to: N1, N2, N3, ..., N n (N1 represents the number of distribution rooms No. 1, N2 represents the number of distribution rooms No. 2, and so on.) You can fill in the number of corresponding distribution room types according to the actual project data without affecting the simulation topology. Set it as needed.

[0090] In this exemplary embodiment, the connection relationship between the distribution room model and the constant voltage source model is constructed. First, a high voltage line model (common mechanism model, common application code) is constructed, and the distribution room model can be connected to the constant voltage source model. At the same time, the number of each type of cable in the modelica environment can be set to N1, N2, N3, ..., N n(N1 represents the number of cables connecting the No. 1 distribution room model and the constant voltage source model, N2 represents the number of cables connecting the No. 2 distribution room model and the constant voltage source model, and so on). The number of corresponding cables can be filled in according to the actual project data without affecting the simulation topology.

[0091] In this exemplary embodiment, the model type of the low-voltage side of the distribution room: Construct the common mechanism model of electric load and photovoltaic: Assume that the number of electric load models under each distribution room is M, and the number of photovoltaic models is Q. Then the number of electric load models corresponding to distribution room No. 1 is N1×M, and the number of photovoltaic models is N1×Q. The number of electric load models corresponding to distribution room No. 2 is N2×M, and the number of photovoltaic models is N2×Q. By analogy, the number of electric load models corresponding to distribution room No. n is N n ×M, the number of photovoltaic models is N n ×Q.

[0092] In this exemplary embodiment, the model of the low-voltage side of the distribution room is connected to the distribution room. First, construct a low-voltage line model, and connect the distribution room model to the electric load model and the photovoltaic model respectively. Then the number of low-voltage lines connected to the electric load model of distribution room No. 1 is N1×M, and the number of low-voltage lines connected to the photovoltaic model is N1×Q; the number of low-voltage lines connected to the electric load model of distribution room No. 2 is N2×M, and the number of low-voltage lines connected to the photovoltaic model is N2×Q. Similarly, the number of low-voltage lines connected to the electric load model of distribution room No. n is N n ×M, the number of low-voltage lines connected to the photovoltaic model is N n ×Q. Among them, the variable template can be adjusted and changed according to the needs and can be changed according to the value.

[0093] A common energy storage model is constructed based on the mechanism and connected to the constant pressure source model through a line model.

[0094] In this exemplary embodiment, a photovoltaic storage control model is constructed according to the principle of economic optimization, and then an electric meter model is constructed based on the basic topology of the microgrid park that has been constructed as described above.

[0095] An electric meter model is added between each electric load model and low-voltage cable model, and between the photovoltaic model and the low-voltage cable model;

[0096] By summing the matrices, the total load active power and total photovoltaic power generation under this topology can be obtained. Then the total load active power, total photovoltaic power generation and SOC of the energy storage model are transmitted to the photovoltaic storage control model.

[0097] In this exemplary embodiment, the output of the photovoltaic storage control model (controller) can be directly sent to the energy storage model and each photovoltaic model. In the fixed topology of the microgrid park, the photovoltaic storage control model defaults to the commonly used photovoltaic storage control model, and the control model based on advanced algorithms such as neural networks can also be selected by the user.

[0098] After the above steps, the microgrid park simulation model is built in the modelica environment (if there is a ring network structure or a new model, just add it on the basic topology). Among them, photovoltaic and energy storage can be adjusted.

[0099] In some embodiments, the device information of each model includes at least the device number of each device and the access point of each device in the primary wiring diagram of the target park;

[0100] The identifying and extracting the series-parallel relationship between the model devices in the primary wiring diagram of the target park and the information of each model device by image recognition includes:

[0101] Through image recognition, the device number, access point of each device, and series and parallel connection relationship between each device in the constant voltage source equipment, distribution room equipment, high-voltage line equipment, low-voltage line equipment and optical storage control equipment in the primary wiring diagram of the target park are identified and extracted.

[0102] In this exemplary embodiment, the primary wiring diagram of the target park is used as the target object for constructing the simulation topology template. When constructing the simulation topology template of the target park, the device number, access point of each device, and series-parallel connection relationship between each device in the constant voltage source device, distribution room device, high voltage line device, low voltage line device and optical storage control device in the primary wiring diagram of the target park can be identified and extracted through image recognition, and the series-parallel connection relationship between each model in the simulation topology template and the number of each model and the corresponding device number can be obtained. Among them, in actual projects, when there is IoT data at the access point, some mathematical methods can be used to adjust the output voltage of the constant voltage source to make it as close as possible to the voltage value of the actual IoT data, which can help find the best function match for a set of data, thereby minimizing the sum of squares of errors.

[0103] In some embodiments, including:

[0104] After the construction of the park ubiquitous energy microgrid model of the target park is completed, the IoT data of the target model in the park ubiquitous energy microgrid model of the target park is obtained;

[0105] Based on the IoT data of the target model, the target model in the park ubiquitous energy microgrid model is calibrated.

[0106] In this exemplary embodiment, if there is IoT data, the model needs to be calibrated based on the IoT data to avoid a large difference from the actual situation. If there is no IoT data, it can be skipped or a default value can be given (or filled in according to expert experience). For example, the constant voltage source model corresponds to the access point of the primary wiring diagram. If there is IoT data at the access point in the actual project, the voltage output of the constant voltage source can be kept consistent with the voltage value of the actual IoT data by the least squares method (the deviation can be controlled at about 5%). And so on, all model calibrations are completed.

[0107] In some embodiments, including:

[0108] After the construction of the park ubiquitous energy microgrid model of the target park is completed, the operation simulation of the park ubiquitous energy microgrid model of the target park is carried out according to a typical day or a typical year, and the operation indicators of the park ubiquitous energy microgrid model are calculated; wherein the operation indicators of the park ubiquitous energy microgrid model at least include system operation indicators characterizing the overall operation status of the park ubiquitous energy microgrid model and model operation indicators of the operation status of each model.

[0109] In this exemplary embodiment, by setting the simulation running time to one day or one year according to business needs, running the simulation topology model, operation data can be obtained, such as voltage, current, phase angle, etc. At the same time, based on the operation data, through data processing, indicators such as project benefits and equipment load rate can be calculated (the content of the indicators is not limited here and can be set according to actual business goals).

[0110] The universal microgrid park simulation topology proposed in this application simplifies the workload of multiple construction of simulation models required for simulation analysis of multiple different microgrid projects, greatly improves modeling efficiency, and realizes automated modeling.

[0111] The method for constructing a campus ubiquitous energy microgrid model proposed in this application solves the problem of no prefabricated model of the general topology by manually filling in information or identifying a primary wiring diagram through artificial intelligence, and uses the empty model method to achieve rapid modeling, lower the usage threshold, and enable non-professional users to quickly realize simulation analysis of project plans.

[0112] The method for constructing a park ubiquitous energy microgrid model proposed in this application basically restores the actual power topology of the microgrid park, and the analysis results have a high reference value.

[0113] Figure 2 FIG. 1 is a diagram showing a process of constructing a park ubiquitous energy microgrid model according to an exemplary embodiment. Figure 2 As shown in the figure, the construction process of the park ubiquitous energy microgrid model includes:

[0114] Step 20, start;

[0115] Step 21, preparation: build a simulation topology template based on the microgrid park information;

[0116] Step 22, identifying the series-parallel relationship and device information of the primary wiring diagram of the microgrid park;

[0117] Step 23, fill in the model parameters in the Modelica simulation model according to the mapping relationship;

[0118] Step 24: calibrate the model according to the physical data;

[0119] Step 25: Perform simulation based on a typical day or a typical year and calculate indicators;

[0120] Step 26: Output configuration optimization, operation optimization, and anticipated failure suggestions based on the indicators;

[0121] Step 27, end.

[0122] The present invention provides a device for constructing a park ubiquitous energy microgrid model. Figure 5 FIG. 1 is a schematic diagram of a device for constructing a park ubiquitous energy microgrid model according to an exemplary embodiment. Figure 5 As shown, the park ubiquitous energy microgrid model construction device includes:

[0123] The information acquisition module 50 is used to acquire the microgrid park information shared by multiple parks when constructing a microgrid model;

[0124] The template building module 51 is used to build a simulation topology template based on the microgrid park information shared by the multiple parks when building the microgrid model; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a photovoltaic storage control model and the connection relationship between the models;

[0125] The information extraction module 52 is used to identify and extract the series-parallel relationship between the model devices in the primary wiring diagram of the target park and the information of each model device through image recognition;

[0126] The model building module 53 is used to use the extracted series-parallel relationship between the model devices in the primary wiring diagram and the information of each model device as model parameters, set parameters for each model in the simulation topology template, and obtain the park ubiquitous energy microgrid model of the target park.

[0127] In this exemplary embodiment, the electric load model is a mathematical model used to describe the active, reactive, voltage and current behaviors and characteristics of the load in the power system. The electric load model can be used to show the power consumption characteristics of a single customer in scenes such as equivalent factories and public buildings. The model can reflect the dynamic characteristics of the voltage, active and reactive power of the actual power system load over time.

[0128] The photovoltaic array model is a mathematical model used to describe the behavior and characteristics of solar photovoltaic cells in the process of converting sunlight into electrical energy; the photovoltaic array model can be used to analyze the photovoltaic power generation characteristics of new projects, operation and maintenance projects, etc. of rooftop photovoltaic and ground photovoltaic power stations; the photovoltaic array is composed of photovoltaic components in different series and parallel modes. In actual engineering applications, the input irradiance parameters will be corrected and equivalent through factors such as installation method, and then the photovoltaic array simulation model will be established using the multiplication method.

[0129] The power grid model is a mathematical model of the power source used to simulate the output of a substation or power station; the power grid model can be used to simulate the power access points in scenarios such as parks and public buildings, as a basis for flow calculation and analysis of their impact on the power grid; this model is a simplified model using a constant voltage source equivalent power grid, used to represent the impact of the power grid on the load. This model is usually used for steady-state analysis of power systems, where the voltage of the power grid is assumed to be constant and unaffected by load changes.

[0130] The cable model simulates the transmission characteristics of the cable in the power system through a mathematical model to display characteristics such as voltage drop and power loss. The cable model can be used for simulation analysis of low-voltage and medium-voltage cables laid in factories and public buildings to describe the relationship between voltage and current and the transmission characteristics.

[0131] In the steady-state analysis of the power system, the mathematical model of the power line is the equivalent line of the power line represented by resistance, reactance, susceptance, and conductance. Usually, it is assumed that no corona occurs in clear weather, and the leakage along the insulator is very small, so the conductance can be ignored. At the same time, considering that the cable length in the park is short, the line susceptance has little effect, and in order to reduce the complexity of the model, the susceptance can be ignored.

[0132] The power transformer model is a mathematical model that simulates the transformer using the principle of electromagnetic induction to change the AC voltage. The power transformer model is used in power transformer stations, substations, distribution rooms and other places to step up or step down the voltage of the transformer to transmit electric energy and distribute it to different power systems. In the application of transformers, it is often necessary to consider parameters such as resistance, inductance, and admittance between the main and secondary windings in order to accurately simulate the behavior of the transformer when designing and analyzing the power system.

[0133] The reactive power compensator model is a mathematical model used to simulate the reactive power compensation device of the power grid and to improve the power factor and voltage stability of the power system. The reactive power compensator model can be used for reactive power compensation on the low-voltage side of power substations, distribution rooms and other scenarios; the basic principle of the reactive power compensator is to provide reactive power by adjusting the phase relationship between the current and voltage in the power system, thereby maintaining the power factor of the power system. This model collects the real-time active power and reactive power of the power system, and adjusts the reactive power value of the reactive power compensator in real time based on the PID control strategy, so as to achieve the target power factor value set by the model.

[0134] The energy meter model is a mathematical model used to simulate the metering device of the power system. The energy meter can be used to measure voltage, current, power and other signals at the user side, low-voltage side of the transformer, photovoltaic inverter grid connection point and other locations in the power system, and transmit them to the control system; the energy meter is usually used to measure power consumption. It is an instrument used to record the use of electric energy. This instrument is usually installed on buildings or equipment to measure parameters such as phase voltage RMS, phase current RMS, power factor, active power and reactive power.

[0135] The battery model is a mathematical model used to simulate the charging and discharging operating characteristics of the battery in the power system. The battery model can evaluate its charging and discharging behavior in the power system and its impact on the operation of the power grid through simulation analysis, and is used to support the design, planning and operation decisions of the energy storage system.

[0136] The typical daylight solar-storage collaborative control model collects data on photovoltaic, energy storage and electricity load, and implements the optimal energy storage charging and discharging strategy model according to different electricity price periods of the day. The typical daylight solar-storage collaborative control model can be applied to the photovoltaic-storage microgrid scenario of a certain day to achieve peak shaving and valley filling, improve photovoltaic absorption rate, etc. This control module is based on the electricity price, photovoltaic curve, load curve, energy storage power capacity constraint and demand response time period at different times of a typical day, and generates optimization strategies under different operating conditions, and issues dispatch instructions based on priority or logical judgment. The specific process is as follows:

[0137] 1. First, determine which range of peak, flat and valley electricity prices the current moment is in;

[0138] 2. Secondly, determine whether the current energy storage SOC meets the charging and discharging requirements;

[0139] 3. Then adjust the energy storage charging and discharging strategy according to whether the current moment is in the demand response period;

[0140] 4. Then, determine whether to delay charging and discharging based on whether there is a lower or higher electricity price in the future from the current moment;

[0141] 5. Finally, the charging and discharging scheduling instructions are output according to the constraints of photovoltaic power, load power, and energy storage power capacity.

[0142] In this application, the power grid model == constant voltage source model, the distribution room model is a combination of the reactive power compensator model and the power transformer model, and the high-voltage line model and the low-voltage line model can be directly replaced by the cable model.

[0143] In this exemplary embodiment, the series-parallel relationship and device information of the primary wiring diagram of the microgrid park are identified. In this application, the information extraction of the primary wiring diagram can be realized by manual input or image recognition. If the required information is not fully provided in the primary wiring diagram, manual input is required. For example, Figure 3 , Figure 4 For a microgrid park primary wiring diagram, obtain the access point, distribution room, photovoltaic, energy storage and other equipment information through information extraction. For example, the constant voltage source model corresponds to the access point of the primary wiring diagram (the balance point known to the user, the access point of the power grid), and the parameters that need to be obtained are the equipment number and the access point voltage, which are stored in the database.

[0144] Fill in the model parameters in the modelica simulation model according to the mapping relationship. For example, the parameters of the constant voltage source model obtained from the primary wiring diagram (access point voltage) need to be filled in the constant voltage source model parameters in the simulation topology obtained in step 1. And so on, complete the filling of all model parameters. When a preset model of the simulation topology does not exist on the primary wiring diagram, the preset model parameters can be set to 0 (that is, an empty model) without affecting the running results, which also improves the multi-scenario adaptability of the topology.

[0145] According to the park ubiquitous energy microgrid model construction device of the embodiment of the present disclosure, it is used to obtain the microgrid park information shared by multiple parks when constructing the microgrid model; based on the microgrid park information shared by multiple parks when constructing the microgrid model, a simulation topology template is built; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high-voltage line model, a low-voltage line model, a light storage control model and the connection relationship between each model; the series-parallel relationship between the model devices in the primary wiring diagram of the target park and the information of each model device are identified and extracted through image recognition; the series-parallel relationship between the model devices in the extracted primary wiring diagram and the information of each model device are used as model parameters, and the parameters of each model in the simulation topology template are set to obtain the park ubiquitous energy microgrid model of the target park. In this application, the park ubiquitous energy microgrid model of the target park is obtained by building a simulation topology template and adjusting the specific model devices and the relationship between the model devices in the simulation topology template through model parameters, which is conducive to flexibly adjusting the park ubiquitous energy microgrid model according to the primary wiring diagram of the specific equipment of the target park, thereby facilitating the construction speed and construction flexibility of the park ubiquitous energy microgrid model.

[0146] In some embodiments, the template building module is used to

[0147] Based on the constant voltage source model mechanism, the electricity metering point is defined as the voltage balance point, and the constant voltage source model in the simulation topology template is constructed;

[0148] Based on the distribution room model mechanism, construct the distribution room model in the simulation topology template;

[0149] Based on the high-voltage line model, construct a connection relationship between the distribution room model and the constant voltage source model in the simulation topology template;

[0150] Based on the electric load model mechanism, constructing the electric load model in the simulation topology template;

[0151] Based on the photovoltaic model mechanism, constructing the photovoltaic model in the simulation topology template;

[0152] Based on the low-voltage line model, the distribution room model in the simulation topology template is connected with the electric load model and the photovoltaic model respectively;

[0153] Based on the photovoltaic storage control model mechanism, the photovoltaic storage control model in the simulation topology template is constructed.

[0154] In this exemplary embodiment, based on the microgrid park information shared by the multiple parks when constructing the microgrid model, when building the simulation topology template, it is necessary to define the electricity metering point as the voltage balance point based on the constant voltage source model mechanism to construct the constant voltage source model in the simulation topology template; based on the distribution room model mechanism, construct the distribution room model in the simulation topology template; based on the high-voltage line model, construct the connection relationship between the distribution room model and the constant voltage source model in the simulation topology template; based on the electric load model mechanism, construct the electric load model in the simulation topology template; based on the photovoltaic model mechanism, construct the photovoltaic model in the simulation topology template; based on the low-voltage line model, connect the distribution room model in the simulation topology template with the electric load model and the photovoltaic model respectively; based on the photovoltaic storage control model mechanism, construct the photovoltaic storage control model in the simulation topology template. The constant voltage source model, distribution room model, electric load model, photovoltaic model, photovoltaic storage control model, etc. in the simulation topology template are constructed to obtain the simulation topology template.

[0155] In this exemplary embodiment, the electricity metering point is defined as the voltage balance point, and a constant voltage source model is constructed based on the mechanism;

[0156] The distribution room model is constructed based on the mechanism: including models such as transformers and reactive power compensators. At the same time, it is classified according to the number of transformers contained in the distribution room. For example, distribution room No. 1 means that the distribution room contains only 1 transformer, distribution room No. 2 means that the distribution room contains only 2 transformers, and so on. Assuming that there are n types of distribution rooms, considering that the number of each type of distribution room can be freely set according to parameters in the modelica environment, the number of models of each type of distribution room can be set to: N1, N2, N3, ..., N n (N1 represents the number of distribution rooms No. 1, N2 represents the number of distribution rooms No. 2, and so on.) In this application, the number of corresponding distribution room types can be filled in according to the actual project data without affecting the simulation topology. Set it as needed.

[0157] In this exemplary embodiment, the connection relationship between the distribution room model and the constant voltage source model is constructed. First, a high voltage line model (common mechanism model, common application code) is constructed, and the distribution room model can be connected to the constant voltage source model. At the same time, the number of each type of cable in the modelica environment can be set to N1, N2, N3, ..., N n (N1 represents the number of cables connecting the No. 1 distribution room model and the constant voltage source model, N2 represents the number of cables connecting the No. 2 distribution room model and the constant voltage source model, and so on). The number of corresponding cables can be filled in according to the actual project data without affecting the simulation topology.

[0158] In this exemplary embodiment, the model type of the low-voltage side of the distribution room: Construct the common mechanism model of electric load and photovoltaic: Assume that the number of electric load models under each distribution room is M, and the number of photovoltaic models is Q. Then the number of electric load models corresponding to distribution room No. 1 is N1×M, and the number of photovoltaic models is N1×Q. The number of electric load models corresponding to distribution room No. 2 is N2×M, and the number of photovoltaic models is N2×Q. By analogy, the number of electric load models corresponding to distribution room No. n is N n ×M, the number of photovoltaic models is N n ×Q.

[0159] In this exemplary embodiment, the model of the low-voltage side of the distribution room is connected to the distribution room. First, construct a low-voltage line model, and connect the distribution room model to the electric load model and the photovoltaic model respectively. Then the number of low-voltage lines connected to the electric load model of distribution room No. 1 is N1×M, and the number of low-voltage lines connected to the photovoltaic model is N1×Q; the number of low-voltage lines connected to the electric load model of distribution room No. 2 is N2×M, and the number of low-voltage lines connected to the photovoltaic model is N2×Q. Similarly, the number of low-voltage lines connected to the electric load model of distribution room No. n is N n ×M, the number of low-voltage lines connected to the photovoltaic model is N n×Q. Among them, the variable template can be adjusted and changed according to the needs, and can be changed according to the value. A common energy storage model is constructed based on the mechanism, and it is connected with the constant pressure source model through the line model.

[0160] In this exemplary embodiment, a photovoltaic storage control model is constructed according to the principle of economic optimization, and then an electric meter model is constructed based on the basic topology of the microgrid park that has been constructed as described above.

[0161] An electric meter model is added between each electric load model and low-voltage cable model, and between the photovoltaic model and the low-voltage cable model;

[0162] By summing the matrices, the total load active power and total photovoltaic power generation under this topology can be obtained. Then the total load active power, total photovoltaic power generation and SOC of the energy storage model are transmitted to the photovoltaic storage control model.

[0163] In this exemplary embodiment, the output of the photovoltaic storage control model (controller) can be directly sent to the energy storage model and each photovoltaic model. In the fixed topology of the microgrid park, the photovoltaic storage control model defaults to the commonly used photovoltaic storage control model, and the control model based on advanced algorithms such as neural networks can also be selected by the user.

[0164] In the above embodiment, the microgrid park simulation model is constructed in the modelica environment (if there is a ring network structure or a new model, it can be added on the basic topology). Among them, photovoltaic and energy storage are adjustable.

[0165] In some embodiments, the device information of each model includes at least the device number of each device and the access point of each device in the primary wiring diagram of the target park;

[0166] The information extraction module is used to

[0167] Through image recognition, the device number, access point of each device, and series and parallel connection relationship between each device in the constant voltage source equipment, distribution room equipment, high-voltage line equipment, low-voltage line equipment and optical storage control equipment in the primary wiring diagram of the target park are identified and extracted.

[0168] In this exemplary embodiment, the primary wiring diagram of the target park is used as the target object for constructing the simulation topology template. When constructing the simulation topology template of the target park, the device number, access point of each device, and series-parallel connection relationship between each device in the constant voltage source device, distribution room device, high voltage line device, low voltage line device and optical storage control device in the primary wiring diagram of the target park can be identified and extracted through image recognition, and the series-parallel connection relationship between each model in the simulation topology template and the number of each model and the corresponding device number can be obtained. Among them, in actual projects, when there is IoT data at the access point, some mathematical methods can be used to adjust the output voltage of the constant voltage source to make it as close as possible to the voltage value of the actual IoT data, which can help find the best function match for a set of data, thereby minimizing the sum of squares of errors.

[0169] In some embodiments, the template building module is used to

[0170] After the construction of the park ubiquitous energy microgrid model of the target park is completed, the IoT data of the target model in the park ubiquitous energy microgrid model of the target park is obtained;

[0171] Based on the IoT data of the target model, the target model in the park ubiquitous energy microgrid model is calibrated.

[0172] In this exemplary embodiment, if there is IoT data, the model needs to be calibrated based on the IoT data to avoid a large difference from the actual situation. If there is no IoT data, it can be skipped or a default value can be given (or filled in according to expert experience). For example, the constant voltage source model corresponds to the access point of the primary wiring diagram. If there is IoT data at the access point in the actual project, the voltage output of the constant voltage source can be kept consistent with the voltage value of the actual IoT data by the least squares method (the deviation can be controlled at about 5%). And so on, all model calibrations are completed.

[0173] In some embodiments, the template building module is used to

[0174] After the construction of the park ubiquitous energy microgrid model of the target park is completed, the operation simulation of the park ubiquitous energy microgrid model of the target park is carried out according to a typical day or a typical year, and the operation indicators of the park ubiquitous energy microgrid model are calculated; wherein the operation indicators of the park ubiquitous energy microgrid model at least include system operation indicators characterizing the overall operation status of the park ubiquitous energy microgrid model and model operation indicators of the operation status of each model.

[0175] In this exemplary embodiment, by setting the simulation running time to one day or one year according to business needs, running the simulation topology model, operation data can be obtained, such as voltage, current, phase angle, etc. At the same time, based on the operation data, through data processing, indicators such as project benefits and equipment load rate can be calculated (the content of the indicators is not limited here and can be set according to actual business goals).

[0176] In this exemplary embodiment, simulation is performed based on a typical day or a typical year, and indicators are calculated. By setting the simulation running time, set it to one day or one year according to business needs, and running the simulation topology model, operating data such as voltage, current, phase angle, etc. can be obtained. At the same time, based on the operating data, through data processing, indicators such as project benefits and equipment load rate can be calculated (the content of the indicators is not limited here and can be set according to actual business goals).

[0177] In this exemplary embodiment, configuration optimization, operation optimization, and anticipated failure suggestions are output based on the indicators. For example, if the transformer load factor indicator is calculated to be 20%, it means that the transformer capacity is too large, and the customer may be advised to replace the transformer with a smaller capacity.

[0178] The present disclosure provides a computer-readable storage medium on which a campus ubiquitous energy microgrid model construction program is stored. When the campus ubiquitous energy microgrid model construction program is executed by a processor, the campus ubiquitous energy microgrid model construction method described in the above embodiments is implemented.

[0179] The present disclosure provides an electronic device, including a memory, a processor, and a campus ubiquitous energy microgrid model construction program stored in the memory and executable on the processor. When the processor executes the campus ubiquitous energy microgrid model construction program, the campus ubiquitous energy microgrid model construction method described in the above-mentioned embodiments is implemented.

[0180] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0181] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0182] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0183] In the description of the present disclosure, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present disclosure.

[0184] In addition, the terms "first", "second", etc. used in the embodiments of the present disclosure are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in the embodiments. Therefore, the features defined by the terms "first", "second", etc. in the embodiments of the present disclosure may explicitly or implicitly indicate that at least one of the features is included in the embodiment. In the description of the present disclosure, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0185] In the present disclosure, unless otherwise clearly specified or limited in the embodiments, the terms "installed", "connected", "connected" and "fixed" etc. appearing in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integrated connection. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements, or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present disclosure can be understood according to the specific implementation situation.

[0186] In the present disclosure, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0187] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A method for constructing a park ubiquitous energy microgrid model. It is characterized in that include: Obtain the microgrid park information shared by multiple parks when building microgrid models; Based on the microgrid park information shared by the multiple parks when constructing the microgrid model, a simulation topology template is built; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a photovoltaic storage control model and the connection relationship between the models; Identify and extract the series-parallel relationship between model devices and information of each model device in the primary wiring diagram of the target park through image recognition; wherein the target park is one of the multiple parks; The extracted series-parallel relationship between model devices in the primary wiring diagram and the information of each model device are used as model parameters, and parameters of each model in the simulation topology template are set to obtain the park ubiquitous energy microgrid model of the target park.

2. The method for constructing a park ubiquitous energy microgrid model according to claim 1, It is characterized in that The step of building a simulation topology template based on the microgrid park information shared by the multiple parks when constructing the microgrid model includes: Based on the constant voltage source model mechanism, the electricity metering point is defined as the voltage balance point, and the constant voltage source model in the simulation topology template is constructed; Based on the distribution room model mechanism, construct the distribution room model in the simulation topology template; Based on the high-voltage line model, construct a connection relationship between the distribution room model and the constant voltage source model in the simulation topology template; Based on the electric load model mechanism, constructing the electric load model in the simulation topology template; Based on the photovoltaic model mechanism, constructing the photovoltaic model in the simulation topology template; Based on the low-voltage line model, the distribution room model in the simulation topology template is connected with the electric load model and the photovoltaic model respectively; Based on the photovoltaic storage control model mechanism, the photovoltaic storage control model in the simulation topology template is constructed.

3. The method for constructing a park ubiquitous energy microgrid model according to claim 1, It is characterized in that The device information of each model includes at least the device number of each device and the access point of each device in the primary wiring diagram of the target park; The identifying and extracting the series-parallel relationship between the model devices in the primary wiring diagram of the target park and the information of each model device by image recognition includes: Through image recognition, the device number, access point of each device, and series and parallel connection relationship between each device in the constant voltage source equipment, distribution room equipment, high-voltage line equipment, low-voltage line equipment and optical storage control equipment in the primary wiring diagram of the target park are identified and extracted.

4. The method for constructing a park ubiquitous energy microgrid model according to claim 1, It is characterized in that include: After the construction of the park ubiquitous energy microgrid model of the target park is completed, the IoT data of the target model in the park ubiquitous energy microgrid model of the target park is obtained; Based on the IoT data of the target model, the target model in the park ubiquitous energy microgrid model is calibrated.

5. The method for constructing a park ubiquitous energy microgrid model according to claim 1, It is characterized in that include: After the construction of the park ubiquitous energy microgrid model of the target park is completed, the operation simulation of the park ubiquitous energy microgrid model of the target park is carried out according to a typical day or a typical year, and the operation indicators of the park ubiquitous energy microgrid model are calculated; wherein the operation indicators of the park ubiquitous energy microgrid model at least include system operation indicators characterizing the overall operation status of the park ubiquitous energy microgrid model and model operation indicators of the operation status of each model.

6. A device for constructing a park ubiquitous energy microgrid model, It is characterized in that include: An information acquisition module is used to obtain microgrid park information shared by multiple parks when constructing a microgrid model; A template building module, used to build a simulation topology template based on the microgrid park information shared by the multiple parks when building the microgrid model; wherein the simulation topology template at least includes: a constant voltage source model, a distribution room model, a high voltage line model, a low voltage line model, a photovoltaic storage control model and the connection relationship between the models; An information extraction module is used to identify and extract the series-parallel relationship between model devices and information of each model device in the primary wiring diagram of the target park through image recognition; The model building module is used to extract the series-parallel relationship between the model devices in the primary wiring diagram and the information of each model device as model parameters, set parameters for each model in the simulation topology template, and obtain the park ubiquitous energy microgrid model of the target park.

7. The device for constructing a park ubiquitous energy microgrid model according to claim 6, It is characterized in that The template building module is used to Based on the constant voltage source model mechanism, the electricity metering point is defined as the voltage balance point, and the constant voltage source model in the simulation topology template is constructed; Based on the distribution room model mechanism, construct the distribution room model in the simulation topology template; Based on the high-voltage line model, construct a connection relationship between the distribution room model and the constant voltage source model in the simulation topology template; Based on the electric load model mechanism, constructing the electric load model in the simulation topology template; Based on the photovoltaic model mechanism, constructing the photovoltaic model in the simulation topology template; Based on the low-voltage line model, the distribution room model in the simulation topology template is connected with the electric load model and the photovoltaic model respectively; Based on the photovoltaic storage control model mechanism, the photovoltaic storage control model in the simulation topology template is constructed.

8. The device for constructing a park ubiquitous energy microgrid model according to claim 6, It is characterized in that The device information of each model includes at least the device number of each device and the access point of each device in the primary wiring diagram of the target park; The information extraction module is used to Through image recognition, the device number, access point of each device, and series and parallel connection relationship between each device in the constant voltage source equipment, distribution room equipment, high-voltage line equipment, low-voltage line equipment and optical storage control equipment in the primary wiring diagram of the target park are identified and extracted.

9. A computer-readable storage medium, It is characterized in that A campus ubiquitous energy microgrid model construction program is stored thereon, and when the campus ubiquitous energy microgrid model construction program is executed by a processor, the campus ubiquitous energy microgrid model construction method described in any one of claims 1-5 is implemented.

10. An electronic device, It is characterized in that The method comprises a memory, a processor and a campus ubiquitous energy microgrid model construction program stored in the memory and executable on the processor. When the processor executes the campus ubiquitous energy microgrid model construction program, the campus ubiquitous energy microgrid model construction method described in any one of claims 1 to 5 is implemented.

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