Field operation virtual power plant energy coordination management system

Abstract

The invention discloses a field operation virtual power plant energy coordination management system, and relates to the technical field of virtual power plants, the management system comprises a data monitoring module, a prediction module, a response module and a scheduling control module, the data monitoring module is used for monitoring a plurality of energy routers, obtaining power data of ports in the plurality of energy routers in real time, and sending the power data to the scheduling control module; and the prediction module adjusts the energy router, analyzes the load power of different time periods according to the historical data of the energy router, adjusts the energy distribution and instructions according to the load power, and adjusts the energy router according to the predicted load power. A virtual power plant alternating current and direct current hybrid power network is constructed, dynamic aggregation and flexible interconnection are carried out on an electric transmission vehicle, high-energy weapon inertia energy storage, a diesel generator set, new energy power generation, a controllable load, electric equipment and the like, and the terminal source-load two-way active power flow requirement is met.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual power plants, and in particular to an energy coordination and management system for a field virtual power plant. Background Art

[0002] The land battlefield virtual power plant is an energy coordination and management system suitable for electrified land battlefields. It uses advanced information communication, monitoring and control, and multi-port energy routing technologies to dynamically aggregate electric vehicles (on-board power generation and energy storage devices), distributed new energy, diesel generator sets, etc. in the battlefield space, and conducts centralized scheduling, unified operation, and optimized control based on a higher-level software architecture platform, so as to achieve coordinated operation and optimized sharing of battlefield power resources, and provide stable and reliable power support for various weapons and equipment and power facilities and equipment.

[0003] However, the existing energy coordination and management system cannot flexibly interconnect different devices, which makes the terminal equipment unable to meet the source-load bidirectional active power flow requirements, which may lead to poor subsequent management and allocation effects. Therefore, we propose a field virtual power plant energy coordination and management system. Summary of the invention

[0004] The purpose of the present invention is to provide a field virtual power plant energy coordination and management system.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: a field virtual power plant energy coordination management system, the management system comprising a data monitoring module, a prediction module, a response module and a dispatch control module;

[0006] The data monitoring module is used to monitor multiple energy routers and obtain power data of ports in multiple energy routers in real time;

[0007] The prediction module adjusts the energy router, and then analyzes the load power in different time periods based on the historical data of the energy router, and adjusts the energy distribution and instructions accordingly, and adjusts the energy router according to the predicted load power;

[0008] The response module is responsible for obtaining the actual load power, and when the actual load power exceeds the predicted value, the response module generates a control instruction, sets different priorities for the functions of different devices, and transmits the control instruction data and priority data to the dispatch control module;

[0009] The dispatch control module analyzes the control instruction data and the priority data, generates corresponding adjustment strategies according to the control instruction data, and transmits different adjustment strategies to the corresponding energy routers, so that the energy routers provide power transmission to different devices.

[0010] As a further solution of the present invention: the energy router includes a communication unit, a control unit and a power unit. The communication unit is used to transmit the power data of the energy router to the data monitoring module. The control unit is used to control the power unit and adjust the power output power of the power unit. The power unit is provided with multiple ports, and the ports are used to convert the power of different generators into power transmission, and the energy routers are connected through the ports.

[0011] As a further solution of the present invention: the energy router is connected to a battery through a port, the power adjusted by the power unit is stored through the battery, and other ports are used to transmit power, thereby transmitting power in other energy routers that are not equipped with batteries to batteries in other energy routers.

[0012] As a further solution of the present invention: a data processing unit is set in the prediction module, and the data processing unit is used to retrieve historical data of different devices, obtain historical data at different time points in the historical data and tree diagram data, and use the prediction module and tree diagram data to build a virtual three-dimensional model, and reflect the supply and consumption of load power between the device and the energy router through the virtual three-dimensional model.

[0013] As a further solution of the present invention: the data processing unit predicts the load power through a formula, and the specific formula is as follows:

[0014]

[0015] Where S represents the predicted load power, M i represents the load power in the i-th time period, α represents the error value that needs a quick response, and the formula M i =M 1i +M 2i +……+M ni +T obtains the load power in the i-th time period, where M 1i 、M 2i ,……,M ni They represent the load power of different devices in the i-th time period, and T represents the error value of equipment damage.

[0016] As a further solution of the present invention: an evaluation model is set in the response module, and the response decision is evaluated by using the evaluation model, and then a response strategy is generated according to the load power of the priority device of the instruction data, and the load power is evaluated by a formula, and the specific formula is as follows:

[0017]

[0018] Where L represents the evaluation data of the overall load power, β, γ and δ represent the load power weight coefficients of different priority levels, and W a represents the load power of the ath device, Q b represents the load power of the bth device, E c represents the load power of the cth device, and A, B and C represent the data of the largest device in different priority levels respectively.

[0019] As a further solution of the present invention: the evaluation model generates control instructions for devices of different priority levels, and the priority levels are divided into level one, level two and level three;

[0020] When the load power required by the device in the first-level priority level is greater than the power generated in the energy router, the response module calls the standby device in the energy router and generates a control instruction to start working. When the response module does not detect the standby device, the response module calls the data of other energy routers, generates energy router working control instructions and power unit adjustment control instructions. After generating the power unit adjustment control instructions, the response module transmits the power of the energy router to the corresponding missing device;

[0021] When the load power required in the second-level priority level is greater than the power generated in the energy router, the response module determines the load power data in the first-level priority level. After the load power of the first-level priority level is lower than the power generated by the energy router, the response module generates a temporary control instruction. The prediction module analyzes the execution time of the temporary control instruction. After the load power required by the device in the first-level priority level is greater than the power generated in the energy router, the control instruction is cleared. After the load power of the first-level priority level is equal to the power generated by the energy router, the response module calls the energy router corresponding to the third-level priority level to generate an adjustment control instruction.

[0022] When the load power required in the three-level priority level is greater than the power generated in the energy router, the response module retrieves the device status data in other three-level priority devices and generates a control instruction for the energy router according to the device status data.

[0023] As a further solution of the present invention: after receiving the control instruction data, the scheduling control module analyzes the control instruction, and then adjusts the control instruction of the energy router according to the priority level. After completing the corresponding control instruction, the power generated by the energy router is adjusted to balance the power supply.

[0024] As a further solution of the present invention: an early warning unit is set in the dispatching control module, and the early warning unit is used to monitor the data in the data monitoring module, the prediction module, the response module and the dispatching control module. When an abnormality occurs, the early warning unit is used to give a reminder.

[0025] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0026] 1. The present invention constructs a virtual power plant AC / DC hybrid power network through multi-port energy routing, standardized electrical interface and other technologies, dynamically aggregates and flexibly interconnects electric transmission vehicles, high-energy weapon inertial energy storage, diesel generator sets, new energy power generation, controllable loads, power-consuming equipment, etc., to meet the terminal source-load bidirectional active power flow requirements;

[0027] 2. The present invention integrates the communication unit, control unit and power unit through the energy routing center, which is a multi-port, multi-cascade, multi-flow power electronic converter with electrical isolation, energy flow control and plug-and-play functions, controls distributed energy and energy storage output, coordinates energy conversion between sources and loads, and realizes dynamic response on the demand side and intelligent power dispatching;

[0028] 3. The present invention generates control instructions for different devices through the response module, and then establishes a control virtual three-dimensional model. The virtual three-dimensional model is used to facilitate the scheduling of bidirectional data links of various terminal devices, and ensures fast and smooth data communication from multiple levels such as the physical layer and the data link layer, thereby realizing the monitoring, scheduling and coordinated control of the terminal components of the virtual power plant;

[0029] 4. The present invention monitors the power data of the energy router through the monitoring module, so as to facilitate the prediction module and the response module to quickly analyze and form control instruction data. Then, the dispatching control module integrates and distributes the load power data of different priority levels, thereby realizing the visualization of the entire process of demand response of the virtual power plant on land battlefield and improving the operation and management level of the virtual power plant.

[0030] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a flow chart of a management system in an embodiment of the present invention;

[0032] Figure 2 This is a flow chart of the energy router in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0034] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0035] Embodiment 1:

[0036] Please see attached Figure 1 -Attached Figure 2 , the present invention provides a field virtual power plant energy coordination management system, the management system includes a data monitoring module, a prediction module, a response module and a dispatch control module;

[0037] The data monitoring module is used to monitor multiple energy routers and obtain the power data of the ports in multiple energy routers in real time;

[0038] The prediction module adjusts the energy router, and then analyzes the load power in different time periods based on the historical data of the energy router, and adjusts the energy distribution and instructions accordingly, and adjusts the energy router according to the predicted load power;

[0039] The response module is responsible for obtaining the actual load power. When the actual load power exceeds the predicted value, the response module generates a control instruction, sets different priorities for the functions of different devices, and transmits the control instruction data and priority data to the dispatch control module.

[0040] The dispatching control module analyzes the control instruction data and the priority data, and generates corresponding adjustment strategies according to the control instruction data, and transmits different adjustment strategies to the corresponding energy routers, so that the energy routers provide power transmission to different devices. The energy router includes a communication unit, a control unit and a power unit. The communication unit is used to transmit the power data of the energy router to the data monitoring module. The control unit is used to control the power unit and adjust the power output power in the power unit. A plurality of ports are arranged in the power unit, and the ports are used to convert the power of different generators into power transmission. The energy routers are connected through ports to ports. The energy router is connected to the battery through the port, and the power adjusted by the power unit is stored through the battery. Other ports are used to transmit power, and the power of other energy routers that are not equipped with batteries is transmitted to the batteries in other energy routers.

[0041] Specific workflow: Use the ports in multiple energy routers to connect with microgrids, diesel generator sets, high-energy inertial energy storage, photovoltaic power generation, on-board power, battery packs, AC loads, fuel-generated generator sets, charging interfaces, supercapacitors, unmanned vehicles, DC loads, etc., so that the energy router uses the control unit to process the devices on different ports, connects the energy routers through ports, and transmits the load power between the energy routers.

[0042] Furthermore, through multi-port energy routing, standardized electrical interface and other technologies, a virtual power plant AC / DC hybrid power network is constructed to dynamically aggregate and flexibly interconnect electric vehicles, high-energy weapon inertial energy storage, diesel generator sets, new energy power generation, controllable loads, power-consuming equipment, etc., to meet the terminal source-load bidirectional active power flow requirements;

[0043] The communication unit, control unit and power unit are integrated through the energy routing center, which manifests as a multi-port, multi-cascade, multi-flow power electronic converter with electrical isolation, energy flow control and plug-and-play functions. It controls distributed energy and energy storage output, coordinates energy conversion between sources and loads, and realizes dynamic response on the demand side and intelligent power scheduling.

[0044] Embodiment 2:

[0045] Based on the first embodiment, please refer to the attached Figure 1 -Attached Figure 2 As shown, a data processing unit is set in the prediction module, and the data processing unit is used to retrieve the historical data of different devices, obtain the historical data at different time points in the historical data and the tree diagram data, and use the prediction module and the tree diagram data to build a virtual three-dimensional model. The virtual three-dimensional model reflects the supply and consumption of load power between the device and the energy router. The data processing unit predicts the load power through a formula. The specific formula is as follows:

[0046]

[0047] Where S represents the predicted load power, M i represents the load power in the i-th time period, α represents the error value that needs a quick response, and the formula M i =M 1i +M 2i +……+M ni +T obtains the load power in the i-th time period, where M 1i 、M 2i ,……,M ni They represent the load power of different devices in the i-th time period, and T represents the error value of equipment damage.

[0048] Specific workflow: Use the prediction module and tree diagram data to build a virtual three-dimensional model, which reflects the supply and consumption of load power between the device and the energy router. Then, the load power in different time periods is predicted through formulas, which makes it easier to generate electric power according to different time periods.

[0049] Furthermore, the prediction module predicts the power data that the device needs to consume at different times, and then the energy router obtains the power data transmitted by different ports based on the predicted data, to prevent the energy router from being unable to supply power in time when the device needs to consume load power.

[0050] Embodiment three:

[0051] Based on the second embodiment, please refer to the attached Figure 1 -Attached Figure 2 As shown, an evaluation model is set in the response module, and the response decision is evaluated by using the evaluation model, and then a response strategy is generated according to the load power of the priority device of the instruction data, and the load power is evaluated by the formula. The specific formula is as follows:

[0052]

[0053] Where L represents the evaluation data of the overall load power, β, γ and δ represent the load power weight coefficients of different priority levels, and W a represents the load power of the ath device, Q b represents the load power of the bth device, E c represents the load power of the cth device, A, B and C represent the data of the largest device in different priority levels respectively, and the evaluation model generates control instructions for devices of different priority levels, and the priority levels are divided into level one, level two and level three;

[0054] When the load power required by the device in the first-level priority level is greater than the power generated in the energy router, the response module calls the standby device in the energy router and generates a control instruction to start working. When the response module does not detect the standby device, the response module calls the data of other energy routers, generates energy router working control instructions and power unit adjustment control instructions. After generating the power unit adjustment control instructions, the response module transmits the power of the energy router to the corresponding missing device;

[0055] When the load power required in the second-level priority level is greater than the power generated in the energy router, the response module determines the load power data in the first-level priority level. After the load power of the first-level priority level is lower than the power generated by the energy router, the response module generates a temporary control instruction. The prediction module analyzes the execution time of the temporary control instruction. After the load power required by the device in the first-level priority level is greater than the power generated in the energy router, the control instruction is cleared. After the load power of the first-level priority level is equal to the power generated by the energy router, the response module calls the energy router corresponding to the third-level priority level to generate an adjustment control instruction.

[0056] When the load power required in the three-level priority level is greater than the power generated in the energy router, the response module retrieves the device status data in other three-level priority devices and generates a control instruction for the energy router according to the device status data.

[0057] Specific workflow: An evaluation model is set up in the response module, which is used to evaluate the response decision and generate a response strategy based on the priority device load power of the instruction data. A multi-level priority processing strategy is used to adjust the control instruction data to facilitate the adjustment of scheduling and coordinated control between energy routers.

[0058] Furthermore, control instructions are generated for different devices through the response module, and then a virtual three-dimensional control model is established. The virtual three-dimensional model is used to facilitate the scheduling of two-way data links of various terminal devices, ensuring fast and smooth data communication from multiple levels such as the physical layer and data link layer, thereby realizing the monitoring, scheduling and coordinated control of the terminal components of the virtual power plant.

[0059] Embodiment 4:

[0060] Based on the third embodiment, please refer to the attached Figure 1 -Attached Figure 2 As shown, after receiving the control instruction data, the dispatching control module analyzes the control instruction, and then adjusts the control instruction of the energy router according to the priority level. After completing the corresponding control instruction, the power generated by the energy router is adjusted to balance the power supply. An early warning unit is set in the dispatching control module, and the early warning unit is used to monitor the data in the data monitoring module, prediction module, response module and dispatching control module. When an abnormality occurs, the early warning unit is used to remind.

[0061] Specific work flow: The dispatching control module receives control instruction data, analyzes the received control instructions, adjusts the control instructions of the energy router according to the priority, and after completing the response to the control instructions of the energy router, adjusts the power generated by the energy router to balance the power supply through power adjustment.

[0062] Furthermore, the power data of the energy router is monitored through the monitoring module, which makes it easier for the prediction module and the response module to quickly analyze and form control instruction data. The dispatching control module then integrates and allocates load power data of different priority levels, thereby realizing the visualization of the entire process of demand response of the virtual power plant on land battlefield and improving the operation and management level of the virtual power plant.

[0063] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A field virtual power plant energy coordination and management system, characterized by: The management system includes a data monitoring module, a prediction module, a response module and a scheduling control module; The data monitoring module is used to monitor multiple energy routers and obtain power data of ports in multiple energy routers in real time; The prediction module adjusts the energy router, and then analyzes the load power in different time periods based on the historical data of the energy router, and adjusts the energy distribution and instructions accordingly, and adjusts the energy router according to the predicted load power; The response module is responsible for obtaining the actual load power, and when the actual load power exceeds the predicted value, the response module generates a control instruction, sets different priorities for the functions of different devices, and transmits the control instruction data and priority data to the dispatch control module; The dispatch control module analyzes the control instruction data and the priority data, generates corresponding adjustment strategies according to the control instruction data, and transmits different adjustment strategies to the corresponding energy routers, so that the energy routers provide power transmission to different devices.

2. A field virtual power plant energy coordination management system according to claim 1, characterized in that: The energy router includes a communication unit, a control unit and a power unit. The communication unit is used to transmit the power data of the energy router to a data monitoring module. The control unit is used to control the power unit and adjust the power output power of the power unit. The power unit is provided with a plurality of ports, and the ports are used to convert the power of different generators into power transmission, and the energy routers are connected through the ports.

3. A field virtual power plant energy coordination management system according to claim 2, characterized in that: The energy router is connected to the battery through a port, the power adjusted by the power unit is stored in the battery, and other ports are used to transmit power, thereby transmitting power in other energy routers that are not equipped with batteries to batteries in other energy routers.

4. The field virtual power plant energy coordination management system according to claim 3 is characterized by: A data processing unit is set in the prediction module, and the data processing unit is used to retrieve historical data of different devices, obtain historical data at different time points and tree diagram data in the historical data, and use the prediction module and tree diagram data to build a virtual three-dimensional model to reflect the supply and consumption of load power between the device and the energy router through the virtual three-dimensional model.

5. The field virtual power plant energy coordination management system according to claim 4 is characterized by: The data processing unit predicts the load power through a formula, and the specific formula is as follows: Where S represents the predicted load power, M i represents the load power in the i-th time period, α represents the error value that needs a quick response, and the formula M i =M 1i +M 2i +……+M ni +T obtains the load power in the i-th time period, where M 1i 、M 2i ,……,M ni They represent the load power of different devices in the i-th time period, and T represents the error value of equipment damage.

6. A field virtual power plant energy coordination management system according to claim 5, characterized in that: An evaluation model is set in the response module, and the response decision is evaluated by using the evaluation model, and then a response strategy is generated according to the load power of the priority device of the instruction data, and the load power is evaluated by a formula, which is as follows: Where L represents the evaluation data of the overall load power, β, γ and δ represent the load power weight coefficients of different priority levels, and W a represents the load power of the ath device, Q b represents the load power of the bth device, E c represents the load power of the cth device, and A, B and C represent the data of the largest device in different priority levels respectively.

7. A field virtual power plant energy coordination management system according to claim 6, characterized in that: The evaluation model generates control instructions for devices of different priority levels, and the priority levels are divided into level one, level two and level three; When the load power required by the device in the first-level priority level is greater than the power generated in the energy router, the response module calls the standby device in the energy router and generates a control instruction to start working. When the response module does not detect the standby device, the response module calls the data of other energy routers, generates energy router working control instructions and power unit adjustment control instructions. After generating the power unit adjustment control instructions, the response module transmits the power of the energy router to the corresponding missing device; When the load power required in the second-level priority level is greater than the power generated in the energy router, the response module determines the load power data in the first-level priority level. After the load power of the first-level priority level is lower than the power generated by the energy router, the response module generates a temporary control instruction. The prediction module analyzes the execution time of the temporary control instruction. After the load power required by the device in the first-level priority level is greater than the power generated in the energy router, the control instruction is cleared. After the load power of the first-level priority level is equal to the power generated by the energy router, the response module calls the energy router corresponding to the third-level priority level to generate an adjustment control instruction. When the load power required in the three-level priority level is greater than the power generated in the energy router, the response module retrieves the device status data in other three-level priority devices and generates a control instruction for the energy router according to the device status data.

8. The field virtual power plant energy coordination and management system according to claim 7 is characterized by: After receiving the control instruction data, the dispatch control module analyzes the control instruction, and then adjusts the control instruction of the energy router according to the priority level. After completing the corresponding control instruction, the power generated by the energy router is adjusted to balance the power supply.

9. The field virtual power plant energy coordination and management system according to claim 1 is characterized by: An early warning unit is provided in the dispatching control module, and the early warning unit is used to monitor the data in the data monitoring module, the prediction module, the response module and the dispatching control module. When an abnormality occurs, the early warning unit is used to give a reminder.

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