A distributed energy coordination center control system

Abstract

The present invention relates to the field of energy control technology, and discloses a distributed energy coordination center control system, including an environmental sensor, a power grid monitoring module, a model scheduling module, a central control module, a stability optimization module, a load forecasting module, a data analysis module and an administrator module; the environmental sensor is used to monitor the environmental status of the main power grid, the auxiliary power grid and the load grid in real time; the power grid monitoring module is used to monitor the voltage, current, power and load status of the main power grid, the auxiliary power grid and the load grid in real time. The present invention uses environmental sensors and power grid monitoring modules to monitor the working status of the load grid under the influence of the external environment, and then through the mutual cooperation of the data analysis module and the load forecasting module, it is determined whether it is necessary to adjust the power supplied by the power grid to the load grid, so as to avoid the problem of unstable power supply of the power grid due to high temperature or heavy rain.

Description

Technical Field

[0001] The present invention relates to the technical field of energy control, and more specifically to a distributed energy coordination center control system. Background Art

[0002] The Distributed Energy Coordination Center Control System is a technology platform for managing and optimizing distributed energy resources (DERs). Distributed energy resources include solar photovoltaics, wind power, energy storage systems (such as batteries), and other types of small-scale power generation and energy storage equipment. The core purpose of the system is to improve the efficiency, reliability and economy of the energy system.

[0003] The load power grid is mainly for urban electricity consumption. The main power supply grid is mainly based on traditional thermal power generation, and the auxiliary power supply grid is mainly based on new energy such as solar photovoltaic, wind power and energy storage systems.

[0004] The existing patent discloses a cloud center distributed energy coordination and control system (publication number CN115967080A), in which the cloud center distributed energy coordination and control system includes: a cloud control center, a distributed energy coordinator, a distribution terminal, a new energy terminal and a user terminal; the distributed energy coordinator is respectively connected to the cloud control center, the distribution terminal, the new energy terminal and the user terminal; the distribution terminal and the new energy terminal are used to generate electric energy signals; the distributed energy coordinator is used to upload the electric energy signals of the distribution terminal and the new energy terminal to the cloud control center. The technology disclosed in this patent lacks consideration of environmental factors. High temperature and heavy rain will not only increase urban electricity consumption, but also greatly increase the power loss of the power grid. Therefore, when distributing energy, it is also necessary to consider the impact of environmental factors on the power grid itself. Summary of the invention

[0005] The main technical problem solved by the present invention is to provide a distributed energy coordination center control system, which solves the problems in the above-mentioned background technology.

[0006] To solve the above technical problems, according to one aspect of the present invention, more specifically, a distributed energy coordination center control system includes an environmental sensor, a power grid monitoring module, a model scheduling module, a central control module, a stability optimization module, a load forecasting module, a data analysis module and an administrator module;

[0007] The environmental sensor is used to monitor the environmental status of the main power supply grid, the auxiliary power supply grid and the load grid in real time;

[0008] The power grid monitoring module is used to monitor the voltage, current, power and load status of the main power grid, auxiliary power grid and load grid in real time;

[0009] The model scheduling module is used to formulate optimization plans and load balance according to the data and forecast information monitored in real time by the power grid monitoring module and the load forecasting module;

[0010] The data analysis module is used to receive monitoring parameters of environmental sensors, as well as voltage, current, power and load parameters of the power grid, and analyze the impact of the external environment on the power grid in real time based on the received parameters;

[0011] The load prediction module is used to predict the loss in the power transmission process under the influence of the external environment, and the probability that the power supply power in the load power grid needs to be adjusted under the influence of the external environment;

[0012] The central control module is used to control the power supplied by the main power supply grid to the load grid according to the automatic control instructions of the model scheduling module or the active instructions of the administrator module, and to control the power supplied by the auxiliary power supply grid to the main power supply grid.

[0013] Furthermore, the administrator module is used by the administrator to actively schedule the power supply of the main power supply grid and the parallel power of the auxiliary power grid according to the prediction results and the received parameter information.

[0014] Furthermore, the administrator module specifically includes: a real-time monitoring module, a control module and an alarm module;

[0015] The real-time monitoring module is used to monitor the operating status of all energy resources in real time, including power generation, load demand, and grid status, and provide real-time data monitoring and system status viewing;

[0016] The control module allows the operator to manually control and adjust system parameters;

[0017] The alarm module will send an alarm to the administrator of the coordination center after the load forecasting module exceeds a set threshold.

[0018] Furthermore, the data analysis module receives the monitoring parameters of the environmental sensors and the voltage and current parameters in the load power grid, and analyzes the impact of the external environment on the power grid in real time according to the received parameters, including:

[0019]

[0020] In the formula, Indicates the impact of humidity on the load power grid. Indicates the humidity of the air. It indicates the area ratio of water film formed by dew drops on the surface of conductor cable in 100 meters of cable.

[0021] Furthermore, the load forecasting module is used to predict the probability that the power supply in the load grid needs to be adjusted under the influence of the external environment, as follows:

[0022]

[0023] in, Indicates the influence coefficient of the external environment on the load power grid, Indicates the comprehensive temperature of the external environment. Indicates the expansion coefficient of the cable in the power grid, Indicates the temperature coefficient of the cable in the power grid;

[0024] when When the load power grid is under load, the power supply to the load grid needs to be reduced;

[0025] when When the load grid is in a state of overload, the power supply to the load grid needs to be increased.

[0026] Furthermore, the model scheduling module will determine whether the auxiliary power supply grid needs to be connected to the main power supply grid according to the power supply balance between the load power grid and the main power supply grid, as follows:

[0027]

[0028] In the formula, It indicates the probability that the auxiliary power supply grid needs to supply power to the main power supply grid. Indicates the average power consumed by the load grid. Represents the output power of the main power supply grid, Indicates the output power of the auxiliary power supply grid;

[0029] when When the auxiliary power supply grid is needed to supply power to the main power supply grid.

[0030] Furthermore, the central control module adjusts the power supplied by the main power supply grid to the load grid by scheduling and adjusting the power supplied by the auxiliary power supply grid to the main power supply grid.

[0031] Furthermore, the stability optimization module receives control instructions from the central control module, and optimizes and reduces transient voltage and transient current during the process of connecting the auxiliary power supply grid to the main power supply grid.

[0032] The beneficial effects of a distributed energy coordination center control system of the present invention are:

[0033] 1. The present invention uses environmental sensors and a power grid monitoring module to monitor the working status of the load power grid under the influence of the external environment, and then determines whether it is necessary to adjust the power supplied by the power supply grid to the load power grid through the cooperation of the data analysis module and the load prediction module, so as to avoid the problem of unstable power supply of the power grid caused by high temperature or heavy rain.

[0034] 2. The present invention dynamically coordinates whether the auxiliary power supply grid supplies power to the main power supply grid by collecting the power at the load end, the output power of the main power supply end, the output power of the auxiliary power supply end, and the intervention of external environmental factors to ensure the balance of energy supply and demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0036] Figure 1 It is a structural schematic diagram of the coordination center control system in the present invention;

[0037] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0038] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0039] like Figure 1 - As shown in Figure 2, according to one aspect of the present invention, there is provided a distributed energy coordination center control system, including an environmental sensor, a power grid monitoring module, a model scheduling module, a central control module, a stability optimization module, a load forecasting module, a data analysis module and an administrator module; the environmental sensor is used to monitor the environmental status of the main power grid, the auxiliary power grid and the load grid in real time; the power grid monitoring module is used to monitor the voltage, current, power and load status of the main power grid, the auxiliary power grid and the load grid in real time; the model scheduling module is used to formulate an optimization plan and load balance according to the data and forecast information monitored in real time by the power grid monitoring module and the load forecasting module; by collecting the power at the load end, the output power of the main power supply end, the output power of the auxiliary power supply end, and the intervention of external environmental factors, the auxiliary power supply grid is dynamically coordinated to supply electricity to the main power supply grid to ensure the balance of energy supply and demand.

[0040] The data analysis module is used to receive the monitoring parameters of the environmental sensors, as well as the voltage, current, power and load parameters of the power grid, and analyze the impact of the external environment on the power grid in real time based on the received parameters; the load prediction module is used to predict the loss in the process of power transmission under the influence of the external environment, and the probability that the power supply power in the load power grid needs to be adjusted under the influence of the external environment; the central control module is used to control the power supplied by the main power supply grid to the load power grid according to the automatic control instructions of the model scheduling module or the active instructions of the administrator module, and to control the power of the auxiliary power supply grid to the main power supply grid for parallel connection. The working state of the load power grid under the influence of the external environment is monitored through the environmental sensors and the power grid monitoring module, and then through the mutual cooperation of the data analysis module and the load prediction module, it is determined whether it is necessary to adjust the power supplied by the power grid to the load grid, so as to avoid the problem of unstable power supply of the power grid caused by high temperature or heavy rain.

[0041] In this embodiment, the administrator module is used by the administrator to actively schedule the power supply of the main power supply grid and the parallel power of the auxiliary power grid according to the prediction results and the received parameter information. The administrator module specifically includes: a real-time monitoring module, a control module and an alarm module; the real-time monitoring module is used to monitor the operating status of all energy resources in real time, including power generation, load demand, and grid status, and provide real-time data monitoring and system status viewing; the control module allows the operator to manually control and adjust system parameters; the alarm module will send an alarm to the administrator of the coordination center after the load prediction module exceeds the set threshold. Through the active intervention of the administrator, the power supply of the load end and the power supply end can be dynamically adjusted according to actual needs.

[0042] In this embodiment, the data analysis module receives the monitoring parameters of the environmental sensors (the environmental sensors include humidity sensors and temperature sensors for detecting the load power grid and the power supply power grid), and the voltage and current parameters in the load power grid, and analyzes the impact of the external environment on the power grid in real time according to the received parameters, including:

[0043]

[0044] In the formula, Indicates the impact of humidity on the load power grid. Indicates the humidity of the air. It indicates the area ratio of water film formed by dew drops on the surface of conductor cable in 100 meters of cable.

[0045] The humidity of the load grid and the power grid air is collected by humidity sensors. , then the area ratio of the water film formed by the dew on the surface of the conductor cable in the 100-meter cable is (The proportion of the area of ​​water film formed by dew on the surface of the conductor cable in a hundred meters of cable refers to the ratio of the coverage area of ​​the water film formed by dew on the cable surface to the surface area of ​​the conductor cable). Then we have:

[0046]

[0047] From the above calculation, we can know that when the air humidity is 74%, the impact of the air humidity on the load grid is .

[0048] The load forecasting module is used to predict the probability that the power supply in the load grid needs to be adjusted under the influence of the external environment.

[0049]

[0050] in, Indicates the influence coefficient of the external environment on the load power grid, Indicates the comprehensive temperature of the external environment. Indicates the expansion coefficient of the cable in the power grid, Indicates the temperature coefficient of the cable in the power grid;

[0051] when When the load power grid is under load, the power supply to the load grid needs to be reduced;

[0052] when When the load grid is in a state of overload, the power supply to the load grid needs to be increased.

[0053] The temperature of the load grid and the power grid is collected by the temperature sensor. (℃). If the cable material in the power grid is copper, then the expansion coefficient of the copper cable in the power grid is , that is, when the temperature of the copper cable increases by 1°C, it will increase by 0.0016% of its original length. The temperature coefficient of the copper cable in the power grid is , that is, for every 1°C increase in temperature, the resistance of the copper cable increases by 0.39%. Then:

[0054]

[0055] From the above calculation, we can know that in an environment with a temperature of 32 degrees Celsius and a humidity of 74%, the power loss of the grid cable itself will increase, and the power supply to the load grid needs to be increased.

[0056] The model scheduling module will determine whether the auxiliary power supply grid needs to be connected to the main power supply grid based on the power supply balance between the load power grid and the main power supply grid.

[0057]

[0058] In the formula, It indicates the probability that the auxiliary power supply grid needs to supply power to the main power supply grid. Indicates the average power consumed by the load grid. Represents the output power of the main power supply grid, Indicates the output power of the auxiliary power supply grid;

[0059] when When the auxiliary power supply grid is needed to supply power to the main power supply grid.

[0060] like Figure 2 As shown, the average power consumption of the load grid for one hour is taken as (10,000 kWh), the one-hour output power of the main power supply grid is (10,000 kWh), the one-hour output power of the auxiliary power supply grid is (10,000 kWh), then:

[0061]

[0062] From the above calculation, it can be known that the auxiliary power supply grid can be connected to the main power supply grid to alleviate the power consumption pressure of the main power supply grid.

[0063] In this embodiment, the central control module adjusts the power supplied by the main power grid to the load grid by scheduling and adjusting the power supplied by the auxiliary power grid to the main power grid. The stability optimization module receives the control instruction of the central control module, and optimizes and reduces the transient voltage and transient current in the process of connecting the auxiliary power grid to the main power grid.

[0064] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A distributed energy coordination center control system, characterized in that: It includes environmental sensors, power grid monitoring module, model scheduling module, central control module, stability optimization module, load forecasting module, data analysis module and administrator module; The environmental sensor is used to monitor the environmental status of the main power supply grid, the auxiliary power supply grid and the load grid in real time; The power grid monitoring module is used to monitor the voltage, current, power and load status of the main power grid, auxiliary power grid and load grid in real time; The model scheduling module is used to formulate optimization plans and load balance according to the data and forecast information monitored in real time by the power grid monitoring module and the load forecasting module; The data analysis module is used to receive monitoring parameters of environmental sensors, as well as voltage, current, power and load parameters of the power grid, and to analyze the impact of the external environment on the power grid in real time based on the received parameters; The data analysis module receives the monitoring parameters of the environmental sensor and the voltage and current parameters in the load power grid, and analyzes the impact of the external environment on the power grid in real time according to the received parameters, including: ； In the formula, Indicates the impact of humidity on the load power grid. Indicates the humidity of the air. It indicates the area ratio of water film formed by dew drops on the surface of the conductor cable in 100 meters of cable; The load prediction module is used to predict the loss in the power transmission process under the influence of the external environment, and the probability that the power supply power in the load power grid needs to be adjusted under the influence of the external environment; The load forecasting module is used to predict the probability that the power supply in the load grid needs to be adjusted under the influence of the external environment. ； in, Indicates the influence coefficient of the external environment on the load power grid, Indicates the comprehensive temperature of the external environment. Indicates the expansion coefficient of the cable in the power grid, Indicates the temperature coefficient of the cable in the power grid; when When the load power grid is under load, the power supply to the load grid needs to be reduced; when When the load power grid is under load, it is necessary to increase the power supply to the load grid; The central control module is used to control the power supplied by the main power supply grid to the load grid according to the automatic control instructions of the model scheduling module or the active instructions of the administrator module, and to control the power of the auxiliary power supply grid to connect to the main power supply grid; The model scheduling module will determine whether the auxiliary power supply grid needs to be connected to the main power supply grid according to the power supply balance between the load power grid and the main power supply grid, including: ； In the formula, It indicates the probability that the auxiliary power supply grid needs to supply power to the main power supply grid. Indicates the average power consumed by the load grid. Represents the output power of the main power supply grid, Indicates the output power of the auxiliary power supply grid; when When the auxiliary power supply grid is needed to supply power to the main power supply grid.

2. The distributed energy coordination center control system according to claim 1 is characterized in that: The administrator module is used by the administrator to actively schedule the power supply of the main power supply grid and the parallel power of the auxiliary power grid according to the prediction results and the received parameter information.

3. The distributed energy coordination center control system according to claim 2 is characterized in that: The administrator module specifically includes: a real-time monitoring module, a control module and an alarm module; The real-time monitoring module is used to monitor the operating status of all energy resources in real time, including power generation, load demand, and grid status, and provide real-time data monitoring and system status viewing; The control module allows the operator to manually control and adjust system parameters; The alarm module will send an alarm to the administrator of the coordination center after the load forecasting module exceeds a set threshold.

4. The distributed energy coordination center control system according to claim 1, characterized in that: The central control module adjusts the power supplied by the main power supply grid to the load grid by scheduling and adjusting the power supplied by the auxiliary power supply grid to the main power supply grid.

5. The distributed energy coordination center control system according to claim 1, characterized in that: The stability optimization module receives control instructions from the central control module, and optimizes and reduces transient voltage and transient current during the process of connecting the auxiliary power supply grid to the main power supply grid.

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