An energy station control system, method, device, and medium

Abstract

The present application belongs to the technical field of energy station regulation and control, and specifically discloses an energy station control system, method, device and medium. A hierarchical control module is used to obtain environment data and user instructions of each energy station, and generate an intelligent control scheme according to the environment data and user instructions; a communication module is used to obtain energy station data and the intelligent control scheme, and optimize the intelligent control scheme according to the energy station data, and then issue the optimized intelligent control scheme to each energy station; and a voltage stabilization module is used to obtain a voltage stability index and the intelligent control scheme, thereby controlling the voltage of each bidirectional converter. The hierarchical control module is used to optimize user instructions to generate an intelligent control scheme, and the communication module is used to optimize the intelligent control scheme again, so as to adapt to a multi-energy flow coupling environment, efficiently process complex data from different sources, and effectively improve the operation efficiency of the energy system. The voltage fluctuation caused by the hierarchical control module is effectively solved by setting the voltage stabilization module.

Description

Technical Field

[0001] This invention belongs to the field of energy station control technology, specifically relating to an energy station control system, method, equipment, and medium. Background Technology

[0002] The current traditional energy structure and consumption patterns have led to pressure on urban energy supply and environmental pollution, which have become bottlenecks restricting urban development. How to ensure a sustainable urban energy supply while reducing environmental pollution generated during energy consumption is a hot topic in urban development today.

[0003] The energy station adopts a combined cooling, heating, and power (CCHP) operation mode, using natural gas as the primary energy supply and water as the medium for energy transmission. Most of the energy generated from gas combustion is used for power generation, and some waste heat is recovered and utilized through waste heat recovery equipment, including waste heat boilers or direct-fired waste heat turbines, to provide heating and cooling to users. This multi-use approach significantly improves the primary energy utilization rate of the entire energy system, achieving tiered energy utilization and allowing for adjustments to the cooling, heating, and power supply ratios according to different user needs. Data acquisition devices are needed to collect data from electricity, water, and gas meters to determine the generation and consumption of different energy sources at the energy station. However, the complex structure of multi-energy flow systems and the inconvenience of information collection and aggregation make it difficult for staff to fully and promptly grasp the energy data of each energy station, reducing the efficiency of intelligent control. Summary of the Invention

[0004] The purpose of this invention is to provide an energy station control system, method, device and medium to solve the technical problem of low operating efficiency of energy systems due to the complexity of energy data sources.

[0005] To achieve the above objectives, the present invention employs the following technical solution:

[0006] In a first aspect, an energy station control system includes: a hierarchical control module, a communication module, and a voltage stabilizing module;

[0007] The hierarchical control module is used to acquire environmental data and user commands from each energy station, and generate intelligent control schemes based on the environmental data and user commands.

[0008] The communication module is used to acquire data and intelligent control schemes from each energy station, optimize the intelligent control schemes based on the data from each energy station, and distribute the optimized intelligent control schemes to each energy station.

[0009] The voltage regulator module is used to obtain voltage stability indicators and intelligent control schemes, and to control the voltage of each bidirectional converter in the hierarchical control module according to the voltage stability indicators and intelligent control schemes.

[0010] A further improvement of the present invention is that: the communication module includes a multi-energy flow coordination controller; each energy station includes an in-station controller and source, load, and storage related equipment; the multi-energy flow coordination controller is connected to the in-station controller of each energy station.

[0011] A further improvement of the present invention is that: the source, load, and storage related equipment are used to acquire energy station data, the energy station data is uploaded to the multi-energy flow coordination controller through the station controller, the multi-energy flow coordination controller optimizes the intelligent control scheme according to the energy station data, and the multi-energy flow coordination controller distributes the optimized intelligent control scheme to each energy station.

[0012] A further improvement of the present invention is that standard communication is used within the energy station, and REST communication is used between the energy station and the multi-energy flow coordination controller.

[0013] A further improvement of the present invention is that the hierarchical control module includes an organization level, a coordination level, and an execution level;

[0014] The execution stage includes a bidirectional converter connected to the corresponding energy station;

[0015] The organization level includes a knowledge base organizer, which is used to generate intelligent control schemes based on environmental data and input user instructions;

[0016] The coordination level includes a classifier and several coordinators. The classifier is used to classify the intelligent control schemes generated by the knowledge base organizer according to the energy station type and assign the classified intelligent control schemes to different coordinators. The coordinators are used to coordinate the bidirectional converters in the execution level and the knowledge base organizers in the organization level according to the classified intelligent control schemes.

[0017] A further improvement of the present invention is that the voltage stabilizing module includes an upper-layer decision-making agent, a middle-layer coordinating agent, and a lower-layer distributed agent;

[0018] The upper-level decision-making agent is used to acquire voltage fluctuations and generate voltage stability evaluation indicators based on voltage fluctuations. When the voltage stability evaluation indicators are greater than or equal to the first threshold, the upper-level decision-making agent sends a coordination control command to the middle-level coordination agent.

[0019] The middle-layer coordinating agent generates a voltage correction value based on the voltage stability evaluation index and sends the voltage correction value to the lower-layer distributed agents;

[0020] The lower-level distributed intelligent agents adjust the voltage of each bidirectional converter according to the voltage correction value, thereby stabilizing the bus voltage.

[0021] A further improvement of the present invention is that the lower-level distributed intelligent agent adopts a hierarchical bidirectional droop control to regulate the voltage of each bidirectional converter.

[0022] In a second aspect, an energy station control method, based on an energy station control system according to any one of claims 1-7, includes the following steps:

[0023] Acquire environmental data and user commands from each energy station, and generate intelligent control schemes based on the environmental data and user commands;

[0024] Acquire data and intelligent control schemes from each energy station, optimize the intelligent control schemes based on the data from each energy station, and distribute the optimized intelligent control schemes to each energy station;

[0025] Obtain voltage stability indicators and intelligent control schemes, and control the voltage of each bidirectional converter according to the voltage stability indicators and intelligent control schemes.

[0026] Thirdly, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the aforementioned energy station control method.

[0027] Fourthly, a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned energy station control method.

[0028] This invention mainly uses a three-level hierarchical control system to enable more intelligent control of the multi-energy control system of the energy station, thereby improving the operating efficiency of the energy station.

[0029] Compared with the prior art, the present invention has at least the following beneficial effects:

[0030] 1. This invention optimizes user commands to generate an intelligent control scheme through a hierarchical control module, and further optimizes the intelligent control scheme through a communication module, thereby adapting to the environment of multi-energy flow coupling, efficiently processing complex data from different sources, effectively improving the operating efficiency of the energy system, and effectively solving the voltage fluctuations caused by the hierarchical control module by setting a voltage stabilization module.

[0031] 2. This invention can fully utilize the characteristics of electrical energy, such as flexible utilization, high energy quality, and rapid response, through hierarchical intelligent control, and can be equivalent to an AC / DC hybrid microgrid to better achieve coordinated control of multiple energy flows;

[0032] 3. By employing a multi-agent control structure in the voltage regulation module, this invention effectively solves the problem of voltage fluctuation in bidirectional converters and significantly improves the stability of system operation. Attached Figure Description

[0033] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0034] In the attached diagram:

[0035] Figure 1 This is a structural block diagram of an energy station control system according to the present invention;

[0036] Figure 2 This is a schematic diagram of the communication module in an energy station control system according to the present invention;

[0037] Figure 3 This is a schematic diagram of the structure of a hierarchical control module in an energy station control system according to the present invention;

[0038] Figure 4 This is a schematic diagram of the cascaded structure of hierarchical control modules in an energy station control system according to the present invention;

[0039] Figure 5 This is a typical topology diagram of an AC / DC bidirectional converter in an energy station control system according to the present invention;

[0040] Figure 6 This is a schematic diagram of the structure of a voltage stabilizing module in an energy station control system according to the present invention;

[0041] Figure 7 This is a control block diagram of a bidirectional converter in an energy station control system according to the present invention. Detailed Implementation

[0042] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0043] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0044] Example 1

[0045] An energy station control system, such as Figure 1 As shown, it includes: a hierarchical control module, a communication module, and a voltage regulator module;

[0046] The hierarchical control module is used to acquire environmental data and user commands from each energy station, and generate intelligent control schemes based on the environmental data and user commands.

[0047] The communication module is used to acquire data and intelligent control schemes from each energy station, optimize the intelligent control schemes based on the data from each energy station, and distribute the optimized intelligent control schemes to each energy station.

[0048] The voltage regulator module is used to obtain voltage stability indicators and intelligent control schemes, and to control the voltage of each bidirectional converter according to the voltage stability indicators and intelligent control schemes.

[0049] Specifically, the architecture of the communication module, such as Figure 2 As shown, it includes a multi-energy flow coordination controller and several energy stations. Each energy station includes an in-station controller and source, load, and storage related equipment. The in-station controller and source, load, and storage related equipment use a standard communication protocol. The energy station and the multi-energy flow coordination controller use REST communication. The source, load, and storage related equipment acquire data from the energy stations. The energy station data is uploaded to the multi-energy flow coordination controller through the in-station controller. The multi-energy flow coordination controller optimizes the intelligent control scheme issued by the hierarchical control module based on the data from each energy station. Then, the multi-energy flow coordination controller distributes the optimized intelligent control scheme to each energy station.

[0050] Specifically, the multi-energy flow coordinator sends optimized intelligent control schemes to source, load, and storage related equipment within the station through control commands of standard protocols, achieving second-level control; standard communication protocols such as MODBUS are used within the energy station, and REST-style communication is used between energy stations.

[0051] The implementation of REST mainly consists of two parts: energy station data is uploaded to the multi-energy flow coordination controller; the multi-energy flow coordination controller then distributes the optimization results to each energy station. The first part involves classifying the equipment within the energy station according to the functional characteristics of its cooling, heating, and electrical equipment, and defining important information (including voltage, current, power, etc.) for each class. This data is transmitted over a network, enabling energy stations to proactively upload their data in real time. The second part defines control commands for each energy station based on its characteristics and considering different operating scenarios of the integrated energy system. The multi-energy flow coordination controller then distributes the results of the composite coordination optimization strategy to each energy station in real time, achieving minute-level control between energy nodes. This achieves energy flow balance among multiple energy stations within the region, improving the overall energy utilization efficiency of the energy network.

[0052] To address the coupling relationships between multiple energy systems, a comprehensive energy system composite coordination optimization method is designed using various advanced optimization theories, multi-energy flow balance mechanisms, and artificial intelligence algorithms. The controller within the energy station integrates the local composite coordination optimization strategy to optimize the energy within the station and sends the optimization results to the source, load, and storage related equipment within the station through control commands based on standard protocols, achieving second-level control.

[0053] The structure of the hierarchical control module, such as Figure 3 As shown, it includes an organization level, a coordination level, and an execution level. The execution level is used to control the controlled object. The organization level includes a knowledge base organizer. The organization level is used to acquire energy station environmental data and user instructions, optimize user instructions based on energy station environmental data, and generate intelligent control schemes.

[0054] The coordination level includes a classifier and several coordinators. The classifier is used to assign different types of energy station control commands to different coordinators. Each coordinator is used to coordinate the controller in the execution level and the knowledge base organizer in the organization level.

[0055] The execution level includes several controllers, which are used to control objects to execute intelligent control schemes.

[0056] The controller is typically a bidirectional converter installed in each energy station;

[0057] The controlled object includes several objects.

[0058] Cascading relationships in hierarchical control modules, such as Figure 4 As shown, C represents the input command, and U represents the output signal of the classifier. This hierarchical control system transforms qualitative user commands into an operation sequence. Upon receiving a user command, it determines the specific operation based on the input information from a set of sensors that interact with the environment. The sensors can provide monitoring information on the working space environment (external) and the status of each subsystem (internal). By fusing this information, an intelligent control scheme is obtained.

[0059] Specifically, for the mutual coupling of multiple energy flows, the hierarchical control module can be used to convert the cooling, heating, and gas loads into electrical loads on a small time scale, giving full play to the characteristics of electrical energy such as flexible utilization, high energy quality, and rapid response, and converting it into an equivalent AC / DC hybrid microgrid to better achieve coordinated control of multiple energy flows.

[0060] Since the execution stage in the split-range control module uses multiple parallel bidirectional converters, the voltage stability is achieved by controlling the bidirectional converters through a voltage regulator module.

[0061] A typical topology of an AC / DC bidirectional converter is as follows: Figure 5 As shown.

[0062] To model the bidirectional converter using a detailed model, each power electronic switching device (IGBT) needs to be modeled separately, and then the entire device model is completed based on the actual topology of the converter devices.

[0063] Define binary logic switching functions to describe the on and off states of the upper and lower IGBTs.

[0064]

[0065] u j =u jo +u jN

[0066] u jo =s j u dc

[0067] Where: u jN This represents the voltage between the neutral point and ground. Based on the circuit topology and Kirchhoff's voltage law, the equation for the AC side can be obtained as follows:

[0068]

[0069] Where: R represents the equivalent inductance of the filter inductor, e j This represents the voltage of an ideal voltage source. Considering a symmetrical three-phase system, the three-phase voltage and current are reduced to zero, i.e.:

[0070]

[0071] The three-phase voltages can be obtained:

[0072]

[0073] Therefore, in rectification mode, the differential equation in three-phase natural coordinates is:

[0074]

[0075] In inverter mode, the equation is:

[0076]

[0077] Specifically, the control structure in the voltage regulator module, such as Figure 6 As shown, it includes an upper-layer decision-making agent, a middle-layer coordination agent, and a lower-layer distributed agent. The upper-layer decision-making agent is used to acquire voltage fluctuations and generate voltage stability evaluation indicators based on the voltage fluctuations. When the voltage stability evaluation indicator is greater than or equal to the first threshold, the upper-layer decision-making agent sends a coordination control command to the middle-layer coordination agent.

[0078] Specifically, the first threshold is the safe voltage change rate in the hierarchical control module;

[0079] Specifically, the safe voltage change rate is adjusted according to the actual situation, and under normal circumstances, the safe voltage change rate is less than 7%.

[0080] Voltage stability assessment indicators can be voltage change rate or similar response voltage fluctuation values, or they can be obtained by weighted calculation of multiple response voltage fluctuation values;

[0081] The middle-level coordinating agent generates a voltage correction value based on the voltage stability evaluation index and sends the voltage correction value to the lower-level distributed agents;

[0082] The lower-level distributed intelligent agents use graded bidirectional droop control to regulate the voltage of each bidirectional converter based on the voltage correction value, thereby stabilizing the bus voltage.

[0083] Specifically, tiered bidirectional droop control, such as Figure 7 As shown in the figure: K u and K f These are the droop coefficients on the DC and AC sides, respectively, ΔP u and ΔP f It is the active power reference value obtained from DC droop control and AC droop control, P ref This is the active power reference value. The droop control obtains P... ref Subsequently, the bidirectional converter transmits power through dual-loop control of power and current. Reactive power can be provided as needed, typically set to Q. ref =0. The control strategy is shown in the following formula.

[0084]

[0085] When the AC side power is insufficient to meet the load and the DC side power has a surplus, the frequency of the AC bus voltage will decrease. The bidirectional converter will switch its operating mode to inverter mode to meet the power requirements of the inverter's AC side. Conversely, when the DC side load is excessive, the DC bus voltage will drop, and the bidirectional converter will switch its operating mode to inverter mode to meet the power requirements of the inverter's DC side.

[0086] By employing a consensus control protocol based on the voltages of local and neighboring smart agents, adaptive bidirectional hierarchical droop control coefficients can be obtained. After hierarchical bidirectional droop control, power distribution and system voltage stability can be achieved in a multi-parallel bidirectional converter system. Ultimately, intelligent control of the energy station can be realized, improving efficiency.

[0087] Example 2

[0088] An energy station control method includes the following steps:

[0089] Acquire environmental data and user commands from each energy station, and generate intelligent control schemes based on the environmental data and user commands;

[0090] Acquire data and intelligent control schemes from each energy station, optimize the intelligent control schemes based on the data from each energy station, and distribute the optimized intelligent control schemes to each energy station;

[0091] Obtain voltage stability indicators and intelligent control schemes, and control the voltage of each bidirectional converter according to the voltage stability indicators and intelligent control schemes.

[0092] Example 3

[0093] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described energy station control method.

[0094] Example 4

[0095] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned energy station control method.

[0096] As is known from common technical knowledge, this invention can be implemented through other embodiments that do not depart from its spirit or essential characteristics. Therefore, the disclosed embodiments described above are merely illustrative in all respects and are not the only ones. All modifications within the scope of this invention or its equivalents are included in this invention.

[0097] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0099] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An energy station control system, characterized in that, include: Layered control module, communication module, and voltage regulator module; The hierarchical control module is used to acquire environmental data and user commands from each energy station, and generate intelligent control schemes based on the environmental data and user commands. The hierarchical control module includes an organization level, a coordination level, and an execution level. The execution level includes controllers that connect to the equipment within the corresponding energy station. The organization level includes a knowledge base organizer, which generates intelligent control schemes based on environmental data and user instructions; the coordination level includes a classifier and several coordinators. The classifier classifies intelligent control schemes according to energy station type and assigns them to different coordinators. The coordinators coordinate the controllers at the execution level with the knowledge base organizer at the organization level. Environmental data is acquired through sensors, and the hierarchical control module generates intelligent control schemes by fusing environmental data provided by sensors and user instructions. The communication module is used to acquire data and intelligent control schemes from each energy station, optimize the intelligent control schemes based on the data from each energy station, and distribute the optimized intelligent control schemes to each energy station. The communication module includes a multi-energy flow coordination controller and on-site controllers connected to each energy station. The multi-energy flow coordination controller and the on-site controllers of each energy station use REST communication to realize the uploading of data from each energy station and the distribution of optimized control schemes. The on-site controllers within the energy station use standard communication protocols with the source, load, and storage related equipment. The voltage regulation module is used to acquire voltage stability indicators and intelligent control schemes, and to control the output voltage of each controller in the hierarchical control module execution level according to the voltage stability indicators and intelligent control schemes. The voltage regulation module includes an upper-level decision-making agent, a middle-level coordinating agent, and a lower-level distributed agent. The upper-level decision-making agent is used to generate voltage stability evaluation indicators based on voltage fluctuations, and to issue a coordination control command to the middle-level coordinating agent when the voltage stability evaluation indicators are greater than or equal to a first threshold. The middle-level coordinating agent is used to generate voltage correction values ​​according to the coordination control commands and send them to the lower-level distributed agents. The lower-level distributed agents are used to adjust the output voltage of the controllers using hierarchical bidirectional droop control based on the voltage correction values. in, The first threshold is the safe voltage change rate threshold; The safe voltage change rate threshold is less than 7%; The in-station controller within the energy station is also used to integrate local coordination and optimization strategies to perform second-level optimization control of the energy within the station; The multi-energy flow coordination controller is used to perform regional coordination optimization of the intelligent control scheme on a minute-level time scale based on the data uploaded by each energy station; The controller is a bidirectional converter; the hierarchical bidirectional droop control generates an active power reference value based on the DC side droop coefficient and the AC side droop coefficient, and then adjusts the transmission power of the bidirectional converter through dual-loop control of power and current to stabilize the bus voltage.

2. An energy station control method, based on the energy station control system described in claim 1, characterized in that, Includes the following steps: Acquire environmental data and user commands from each energy station, and generate intelligent control schemes based on the environmental data and user commands; Acquire data and intelligent control schemes from each energy station, optimize the intelligent control schemes based on the data from each energy station, and distribute the optimized intelligent control schemes to each energy station; Obtain voltage stability indicators and intelligent control schemes, and control the voltage of each bidirectional converter according to the voltage stability indicators and intelligent control schemes.

3. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes a computer program, it implements the energy station control method described in claim 2.

4. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the energy station control method described in claim 2.

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