A distribution Internet of Things environment simulation and construction system
By building a distribution IoT environment simulation system, the full process simulation test of key technologies of distribution IoT is realized, which solves the problem of lack of test verification in the existing technology, and improves the technical support capabilities of distribution IoT construction and the security and efficiency of data application.
Patent Information
- Application Number
- CN202211397603.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-09
- Publication Date
- 2025-08-01
- Estimated Expiration
- 2042-11-09
AI Technical Summary
The existing technology lacks comprehensive testing and verification methods in the process of building IoT management platforms, big data platforms and AI artificial intelligence platforms, resulting in the inability to ensure that business needs and performance requirements can be met after being launched in the production environment.
It provides a distribution IoT environment simulation construction system, including a low-voltage distribution network simulation operation subsystem and a communication network simulation operation subsystem, which is used to build electrical and communication connections of equipment, simulate power supply systems, distributed photovoltaics, electric vehicle charging, user load, etc., and conduct full-process simulation tests in combination with channel models.
Through the full process of through-process simulation testing, the trusted interconnection and secure interaction of the terminals are ensured, and the core technical support capabilities of the Internet of Things construction of power distribution are improved, ensuring the safe, reliable, practical and efficient data applications.
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Figure CN115632729B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of distribution Internet of Things, and in particular to a system for simulating and constructing a distribution Internet of Things environment. Background Art
[0002] Cloud deployment is not only an important link in realizing the "cloud - pipe - edge - end" technical architecture system of the distribution Internet of Things, but also plays an important role in the information platform for the digital transformation of power grid enterprises. The "cloud" layer is the core center of the entire distribution Internet of Things, and the deployment of functional platforms such as "Internet of Things management platform, business middle - platform, data middle - platform, big data platform, and AI artificial intelligence platform" will be realized at the "cloud" end.
[0003] First of all, in the process of building the Internet of Things management platform, big data platform, and AI artificial intelligence platform, the construction of the functions and performance of these general - purpose functional platforms is in the exploration stage. It is necessary to conduct a comprehensive evaluation and test of both the technical architecture and the functional architecture in a test environment. Secondly, containerized microservices will be constructed in the form of a business middle - platform on the power grid cloud platform; then, whether the microservice division built according to business requirements is reasonable and whether the performance meets the requirements also need to be evaluated and verified through application scenarios in the test environment before going online to the production environment. In addition, big data processing and artificial intelligence algorithm models are the keys to realizing advanced applications, and they also need to go through a comprehensive display, evaluation, and analysis of performance indicators to ensure that they can meet the requirements and have the possibility of continuous optimization after going online to the production environment. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to provide a system for simulating and constructing a distribution Internet of Things environment, which can build a full - process penetration simulation test platform for the key technologies of the distribution Internet of Things.
[0005] The technical solution adopted by the present invention to solve its technical problem is: providing a system for simulating and constructing a distribution Internet of Things environment, including a low - voltage distribution network simulation operation subsystem and a communication network simulation operation subsystem. The low - voltage distribution network simulation operation subsystem is used to build the electrical connections of each device in the distribution Internet of Things environment to be simulated; the communication network simulation operation subsystem is used to build the communication connections of each device in the distribution Internet of Things environment to be simulated.
[0006] The low - voltage distribution network simulation operation subsystem includes: a power system building module, which is used to build each main device in the low - voltage distribution network to form a power system; a low - voltage distribution network configuration module, which is used to realize the matching access of various devices through multiple configuration units to form a low - voltage distribution network; a low - voltage line simulation module, which is used to simulate overhead lines or cable lines of different lengths; and a user load power consumption simulation unit, which is used to simulate the power consumption load in the low - voltage distribution network.
[0007] The low-voltage distribution network simulation operation subsystem further includes a distributed photovoltaic simulation module, which is used to simulate various photovoltaic components and their power generation conditions and processes.
[0008] The low-voltage distribution network simulation operation subsystem further includes an electric vehicle charging simulation module, which is used to simulate the charging and discharging behaviors of electric vehicles and the interaction between electric vehicles and the low-voltage distribution network.
[0009] The communication networking simulation operation subsystem includes: an upstream communication channel simulation test module, which is used to simulate service data network communication and test protocol interfaces; a downstream communication channel simulation test module, which is used to simulate various on-site distribution network models; a first connection module, which is used to connect the communication networking simulation operation subsystem to the Internet of Things cloud platform; a second connection module, which is used to connect the communication networking simulation operation subsystem to a simulated intelligent distribution transformer terminal or an edge computing terminal; a third connection module, which is used to connect the communication networking simulation operation subsystem to intelligent devices; a fourth connection module, which is used to map the dynamic simulation system model to the channel model of the communication networking operation subsystem, and establish the integration and unity of the physical channel and the communication channel of the distribution Internet of Things.
[0010] The channel model includes a communication model in open areas, a communication model in basements, a communication model between buildings, and a communication model in rural areas.
[0011] The channel model is where h ij represents the channel coefficient between the transmitting antenna i and the receiving antenna j, n i represents the noise added to the receiving antenna, x i represents the signal transmitted by the transmitting antenna, y i represents the signal received by the receiving antenna, and different communication models in different scenarios are simulated by simulating the path loss of the channel model.
[0012] Beneficial effects
[0013] Due to the above technical solutions, compared with the prior art, the present invention has the following advantages and positive effects: starting from the "cloud-pipe-edge-terminal" technical architecture system of the distribution Internet of Things, the present invention builds a full-process penetration simulation test platform for the key technologies of the distribution Internet of Things. Combining typical application scenarios, it tests and verifies the technical solutions, key functional points and full-process penetration of each link, strictly controls the communication quality and efficiency, strictly controls the terminal access, strictly controls the data fusion application, ensures the trusted interconnection and secure interaction of the terminals, ensures the security, reliability, practicality and efficiency of data application, and comprehensively improves the core technical support ability of the center for the construction of the distribution Internet of Things. Description of the drawings
[0014] Figure 1It is the architecture diagram of the simulation operation subsystem of the low-voltage distribution network in this embodiment;
[0015] Figure 2 It is the architecture diagram of the communication networking simulation operation subsystem in this embodiment. Specific embodiments
[0016] The following further elaborates the present invention in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of this application.
[0017] The embodiment of the present invention relates to a distribution Internet of Things environment simulation construction system, which can build a basic low-voltage distribution Internet of Things simulation operation environment, including two major parts, namely the low-voltage distribution network simulation operation subsystem and the communication networking simulation operation subsystem. Through the low-voltage distribution network simulation operation subsystem, the electrical connections of various devices in the distribution Internet of Things environment to be simulated can be realized, and through the communication networking simulation operation subsystem, the communication connections of various devices in the distribution Internet of Things environment to be simulated can be realized. In this way, the elements and main problems contained in the existing actual low-voltage distribution network can be reflected.
[0018] As Figure 1 shown, the simulation operation subsystem of the low-voltage distribution network mainly consists of the following components:
[0019] The power system construction module is used to build the main devices in the low-voltage distribution network to form a power system. The power system mainly consists of main devices such as "incoming line cabinet, distribution transformer, comprehensive distribution box (JP cabinet), current-limiting reactor, and distribution box". To meet the requirements of the low-voltage distribution network fault self-healing application scenario, the power system construction module is configured according to 2 distribution Internet of Things stations (one main and one standby); at the same time, a current-limiting reactor can also be equipped to limit the short-circuit current of the system.
[0020] The low-voltage distribution network configuration module is used to realize the matching access of various devices through multiple configuration units to form a low-voltage distribution network. The configuration unit adopts the modular design principle and is composed of a certain number of analog switches, CT units, and test interfaces. Through the flexible matching of multiple configuration units, various typical low-voltage distribution networks can be flexibly formed, and various power consumption units can be flexibly matched and accessed. Considering the composition of the low-voltage distribution network, including network structure, power access, line access, simulated user access, distributed photovoltaic unit access, distributed energy storage unit access, electric vehicle charging pile access, and various intelligent terminal access requirements.
[0021] Low-voltage line simulation module, used to simulate overhead lines or cable lines of different lengths. The lines are designed with modular overhead line simulators and cable line simulators. The low-voltage line simulation module can simulate overhead lines or cable lines of different lengths such as 100m, 200m, 300m, 500m, etc. All overhead line simulation units and cable line simulation units can be flexibly combined and configured, and are connected to the low-voltage distribution network configuration system through a single cable to realize the combination of the grid structure and the distribution line, and build a basic low-voltage distribution network.
[0022] Distributed photovoltaic simulation module, used to simulate various photovoltaic components and the power generation status and process of various photovoltaic components. Taking the distributed photovoltaic power sources widely connected to the low-voltage distribution network as the simulation object, the distributed photovoltaic simulation module of this embodiment can simulate the power generation status of photovoltaic arrays under different typical photovoltaic components (monocrystalline silicon, polycrystalline silicon, copper indium gallium selenide thin-film batteries) of different materials, different light intensities, and different component temperatures, as well as simulate the power generation status of photovoltaic arrays under different seasons and weather conditions and the power generation process within a day. For the single-phase and three-phase distributed photovoltaic systems commonly used in the low-voltage distribution networks of current residential communities and industrial parks, single-phase and three-phase distributed photovoltaic simulation units that support Modbus RTU / TCP and can realize the connection and data transfer with intelligent distribution transformer terminals and other edge computing units are respectively configured in this embodiment.
[0023] Electric vehicle charging simulation module, used to simulate the charging and discharging behavior of electric vehicles and the interaction relationship between electric vehicles and the low-voltage distribution network. The access of electric vehicle charging equipment to the low-voltage distribution network is becoming increasingly common. Whether it is the AC charging equipment commonly used in residential communities or the higher-power DC charging equipment commonly used in industrial parks or commercial complexes, they all begin to have an inestimable impact on the low-voltage distribution network. Therefore, an electric vehicle charging simulation module is also correspondingly configured in this embodiment, which can simulate the interaction relationship between the charging and discharging behavior of electric vehicles in the actual low-voltage distribution network and the low-voltage distribution network.
[0024] User load power consumption simulation unit, used to simulate the power consumption load in the low-voltage distribution network. In order to correspond to the power flow analysis, a certain number of users need to be configured in the entire low-voltage distribution network simulation system. Considering that there are single-phase loads in the actual power grid, but there are also large loads with three-phase loads, in this embodiment, 10 single-phase programmable RLC loads are considered to be configured for single-phase users, and 4 three-phase programmable RLC loads are configured for three-phase users.
[0025] Based on the above components, a low-voltage distribution network simulation operation system with the minimum resource configuration but complete key elements of the current low-voltage distribution network can be built (which can take into account business objects such as residential communities, industrial parks, and commercial complexes).
[0026] The communication network simulation operation subsystem has established a physical topology model of the communication channel corresponding to the dynamic simulation system. By constructing a typical channel model, the single model of the dynamic simulation system is divergently mapped to various on-site scenarios.
[0027] For a wireless communication system, its channel model can be expressed as:
[0028]
[0029] h ij represents the channel coefficient between the transmitting antenna i and the receiving antenna j, and n i represents the noise added to the receiving antenna, and x i represents the signal transmitted by the transmitting antenna, and y i represents the signal received by the receiving antenna.
[0030] After the signal passes through the wireless channel, the amplitude of the signal is random, that is, "fading", and its envelope follows a Rayleigh distribution. Such a channel is called a "Rayleigh channel". Rayleigh fading belongs to small-scale fading effects, and it is always superimposed on large-scale fading effects such as shadowing and attenuation.
[0031] Large-scale path loss: The large-scale average path loss is used to measure the average fading of the signal between the transmitter and the receiver, and is defined as the difference between the effective transmit power and the average receive power.
[0032] Measurements show that given the transmit power, antenna parameters and height, and radio wave frequency, the variation law of the average path loss PL with the propagation distance (T-R distance) d is:
[0033]
[0034] where d0 is the distance from the reference point near the transmitter end to the transmitter end. The path loss at this reference point can generally be obtained through actual measurement, and n is the path loss exponent, and the specific exponent depends on the propagation environment.
[0035] In the logarithmic distance path loss model, for every 10 dB increase in distance, the value increases by 10n dB. That is,
[0036] PL(d a ) - PL(d b ) = 10n dB
[0037] d a = 10d b
[0038]
[0039]
[0040] For wireless channel models in different scenarios, the core parameters affecting communication are the parameters in the above analysis.
[0041] In the communication network simulation operation system, channel models in different scenarios are established based on the above theoretical analysis, including communication models in open areas, basements, between buildings, and in rural areas, and the power distribution network and communication network are integrated. Through the communication network simulation operation system, various typical application communication networks are simulated, and the performance and service carrying capacity of different communication methods are tested by traversing various communication network scenarios in the laboratory.
[0042] Such as Figure 2 shown, the communication network simulation experiment platform is connected to the communication network management platform of the cloud platform above, and controls the virtual data platform, the uplink communication channel simulation test, and the downlink communication simulation test system below. The test simulation parameters can be published through the communication network management platform of the cloud platform. The local communication network monitoring data can be displayed through the communication network management platform. The data stream and message commands are transmitted between the cloud platform, the communication network simulation experiment platform, and the virtual data platform in ways such as the JSON protocol and simple text.
[0043] The components of the communication network simulation operation subsystem are as follows:
[0044] The uplink communication channel simulation test module, including the testing of common 4G, NB-IOT, e-LTE wireless private networks, and Beidou communication. It is integrated in the wireless comprehensive tester / network simulation tester. There are built-in DAUs and switches, which can simulate service data network communication and test protocol interfaces. It supports LTE and NB-IOT protocol testing, Beidou position simulation, supports RF air interface protocol stack data monitoring and analysis, channel quality detection and analysis, CQI, and network IP data stream parsing. It can obtain all communication quality information and protocol frames of the access device, and simulate common simulation environments such as common fading, in-band interference, and out-of-band interference.
[0045] Downlink communication channel simulation test module, which truly restores the communication network to the distribution physical network according to the current conventional cabinet design of distribution substations. It is built-in with transformers, circuit breakers, UPS, branch switch cabinets, building distribution cabinets, etc. Sensors, acquisition terminals, intelligent distribution transformer terminals, sensor aggregation units, LTUs, communication units, etc. are embedded in the shielding box of the simulation distribution cabinet. The intelligent distribution transformer terminal and the sensor aggregation unit can access the main station of the cloud server platform through wireless public networks, fiber optic Ethernet, etc. The downlink communication channel simulation system models through the sample data collected on-site, and correspondingly generates typical distribution physical communication modules. Through the control system signal development matrix instrument, signal matrix instrument, signal simulation analyzer, and communication scenario simulation equipment, it simulates various on-site distribution network models. It supports custom model settings and adjustments, can adjust the network topology joints of the downlink channel, and simulate various communication faults, channel models, attenuation, noise, interference, etc. Under specified scenario conditions, it can correspondingly issue test function items to execute corresponding function and performance tests to test the performance of the downlink communication unit.
[0046] The first connection module realizes the connection between the cloud and the communication networking simulation operation system. The communication networking simulation operation system is connected to the Internet of Things cloud platform through Ethernet. Such as the virtual data platform, intelligent terminals, intelligent meters, and edge computing terminals are connected to the cloud platform, not limited to public or private networks.
[0047] The second connection module realizes the connection between the edge and the communication networking simulation operation system. The public network interfaces of intelligent distribution transformer terminals, edge computing terminals, etc. that are connected to the cloud platform are connected to the communication networking simulation operation system through feeders / antennas, and the communication networking simulation operation system forwards the data to the cloud platform.
[0048] The third connection module realizes the connection between the terminal and the communication networking simulation operation system. Intelligent meters and intelligent sensors are connected to the communication networking simulation operation system through the downlink communication network, and then connected to intelligent terminals / edge technology terminals. The communication networking simulation operation system can adjust the topology network of the downlink channel to achieve routing control between different nodes.
[0049] The fourth connection module realizes the connection between the dynamic simulation system and the communication networking simulation operation system. The communication units / terminals / metering units / sensing units of the dynamic simulation system are placed inside the communication networking simulation operation system or connected to the communication networking simulation operation system through RF channels. The dynamic simulation system model is mapped to the channel model of the communication networking operation system to establish the integration and unification of the physical channel and the communication channel of the distribution Internet of Things. On the cloud platform or the local communication networking simulation experiment platform, the corresponding physical network topology model scheme can be selected and sent to the uplink and downlink channel simulation test system to generate the corresponding test scheme model. The dynamic simulation system can obtain the corresponding model data and physical topology model structure from the communication networking simulation experiment platform through the Ethernet interface and correspondingly adjust the dynamic simulation modeling scheme.
[0050] Channel models for different scenarios. It mainly includes communication models for open areas, basements, between buildings, and rural areas. The parameter characteristics can be seen in the following table.
[0051] (1) Communication model for open areas
[0052] Model name Open area_1 path.prop Model feature One path with Rayleigh fading Relative power (dB) 0 Relative delay (us) 0 Velocity (km / h) 0.1 (static)
[0053] (2) Communication model for basements
[0054]
[0055]
[0056] (3) Communication model between buildings
[0057]
[0058] (4) Communication model for rural areas
[0059]
[0060] It is not difficult to find that the present invention starts from the "cloud - pipe - edge - end" technical architecture system of the power distribution Internet of Things, builds a full - process penetration simulation test platform for the key technologies of the power distribution Internet of Things, combines typical application scenarios, tests and verifies the technical solutions, key function points and full - process penetration of each link, strictly controls the communication quality and efficiency, strictly controls the terminal access, strictly controls the data fusion application, ensures the trusted interconnection and secure interaction of terminals, ensures the security, reliability, practicality and high efficiency of data applications, and comprehensively improves the core technical support ability of the center for the construction of the power distribution Internet of Things.
Claims
1. A distribution Internet of Things environment simulation construction system, characterized in that It includes a low-voltage distribution network simulation operation subsystem and a communication network simulation operation subsystem. The low-voltage distribution network simulation operation subsystem is used to build the electrical connections of each device in the power distribution Internet of Things environment to be simulated; The communication network simulation operation subsystem is used to build the communication connections of each device in the power distribution Internet of Things environment to be simulated; The communication network simulation operation subsystem includes: an uplink communication channel simulation test module for simulating service data network communication and testing protocol interfaces; a downlink communication channel simulation test module for simulating various on-site power distribution network models; a first connection module for connecting the communication network simulation operation subsystem to the Internet of Things cloud platform; a second connection module for connecting the communication network simulation operation subsystem to a simulated intelligent distribution transformer terminal or an edge computing terminal; a third connection module for connecting the communication network simulation operation subsystem to intelligent devices; a fourth connection module for mapping the dynamic simulation system model to the channel model of the communication network operation subsystem to establish the integration and unification of the physical channel and the communication channel of the power distribution Internet of Things; the channel model is where h ij represents the channel coefficient between the transmitting antenna i and the receiving antenna j, and n i represents the noise added to the receiving antenna, x i represents the signal transmitted by the transmitting antenna, and y i represents the signal received by the receiving antenna, and different communication models in different scenarios are simulated by simulating the path loss of the channel model.
2. The power distribution Internet of Things environment simulation construction system according to claim 1, wherein The low-voltage distribution network simulation operation subsystem includes: a power system building module, which is used to build each main device in the low-voltage distribution network to form a power system; a low-voltage distribution network configuration module, which is used to realize the matching access of various devices through multiple configuration units to constitute a low-voltage distribution network; a low-voltage line simulation module, which is used to realize the simulation of overhead lines or cable lines of different lengths; a user load power consumption simulation unit, which is used to simulate the power consumption load in the low-voltage distribution network.
3. The power distribution Internet of Things environment simulation construction system according to claim 2, characterized in that, The low-voltage distribution network simulation operation subsystem further includes a distributed photovoltaic simulation module, which is used to realize the simulation of various photovoltaic components and the power generation status and process of various photovoltaic components.
4. The power distribution Internet of Things environment simulation construction system according to claim 2, characterized in that The low-voltage distribution network simulation operation subsystem further includes an electric vehicle charging simulation module, which is used to simulate the charging and discharging behavior of electric vehicles and the interaction relationship between electric vehicles and the low-voltage distribution network.
5. The power distribution Internet of Things environment simulation construction system according to claim 1, wherein The channel model includes a communication model in open areas, a communication model in basements, a communication model between buildings, and a communication model in rural areas.
Citation Information
Patent Citations
Low-voltage power distribution internet of things interaction function test bench area and management system thereof
CN114113834A