Multi-energy cooperative control device of alternating current and direct current hybrid power distribution network and storage medium

Abstract

The invention relates to the technical field of power distribution network energy control, in particular to an AC / DC hybrid power distribution network multi-energy cooperative control device and a storage medium. The method comprises the steps of firstly collecting AC / DC bus and device operation data, then calculating power distribution between devices based on constraints such as voltage and power, then optimizing an energy mutual aid path between buses, and finally coordinating and executing control instructions of each device; and the electric energy conversion link is obviously reduced, accurate mutual assistance is realized, and the system operation efficiency is effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of energy control in a distribution network, and in particular to a multi-energy collaborative control device and storage medium for an AC / DC hybrid distribution network. Background Art

[0002] With the vigorous development of new energy and electric vehicle industries, the power system shows a trend of AC / DC hybrid development. AC / DC hybrid distribution network integrates multiple types of energy equipment such as photovoltaic power generation, energy storage devices and electric vehicle charging equipment, providing a new way to improve energy efficiency and system flexibility.

[0003] The existing distribution network usually connects photovoltaic, energy storage and charging equipment to the AC bus and realizes energy transmission through multi-level conversion. Each type of equipment adopts independent control strategies, lacks a unified energy management mechanism, and fails to achieve coordination and mutual assistance between equipment. This situation needs to be further improved. Summary of the invention

[0004] In order to solve the problem that various existing devices adopt independent control strategies, lack a unified energy management mechanism, and fail to achieve coordination and mutual assistance between devices, the present application provides a multi-energy coordinated control device and storage medium for an AC / DC hybrid distribution network, which adopts the following technical solutions: In a first aspect, the present application provides a multi-energy coordinated control device for an AC / DC hybrid distribution network, comprising: Data acquisition module, used to collect AC and DC bus voltage and current data and operating status data of various energy equipment to obtain real-time system operation data; A power calculation module is used to calculate the power distribution scheme among multiple energy devices according to the real-time operation data of the system and obtain the power instruction of each device; An energy management module, used to determine the electric energy mutual assistance strategy between the AC and DC buses based on the power instruction, and obtain the power transmission instruction between the buses; The collaborative control module is used to perform collaborative control of photovoltaic, energy storage and charging equipment according to the power instruction and the power transmission instruction.

[0005] By adopting the above technical solution, due to the uneven distribution of photovoltaic, energy storage and charging equipment on the AC and DC sides and complex energy flow paths in the AC / DC hybrid distribution network, this application first collects the AC / DC bus and equipment operation data, and then calculates the power distribution between devices based on constraints such as voltage and power, and then optimizes the energy mutual assistance path between buses, and finally coordinates the execution of control instructions for each device; it significantly reduces the power conversion links, achieves precise mutual assistance, and effectively improves the system operation efficiency.

[0006] Optional power calculation module, including: A distance calculation unit is used to calculate the electrical distance between each energy device and the load according to the real-time operation data of the system to obtain a device-load distance matrix, wherein the electrical distance is obtained by comprehensive weighting according to the line impedance, voltage loss and power loss from the device to the load; A priority determination unit, configured to determine the power supply priority of energy equipment according to the distance from near to far based on the equipment-load distance matrix, and obtain the power supply sequence of equipment; The power distribution unit is used to calculate the power distribution plan of each energy device according to the power supply sequence of the devices and the load power demand, and obtain the power instruction of each device.

[0007] By adopting the above technical solution, the power distribution of energy equipment in the traditional distribution network lacks consideration of the spatial location dimension, resulting in a generally long power supply path and increased system losses. The present application first constructs a device-load distance matrix by a distance calculation unit, and then a priority determination unit determines the power supply order based on the distance. Finally, the power distribution unit calculates the power instructions for each device according to the established order and load demand. By integrating spatial location information into the power distribution decision-making process, the nearby consumption of electric energy is achieved, which significantly reduces the system transmission loss and improves the power supply efficiency.

[0008] Optionally, the power distribution unit specifically includes: A high frequency detector for detecting a high frequency component of the power output; A resonance suppressor is used to change the switching frequency when high-frequency power fluctuations are detected to suppress the resonance phenomenon in the power distribution process.

[0009] By adopting the above technical solution, since the switching frequencies of various power electronic devices in the AC / DC hybrid distribution network are similar and there is a complex electromagnetic coupling relationship between the devices, resonance problems are likely to occur in the power distribution process; the application first uses a high-frequency detector to perform a spectrum analysis on the power output signal, and when a high-frequency component exceeding a preset threshold is detected, the resonance inhibitor immediately destroys the resonance condition by changing the switching frequency; the risk of resonance in the power distribution process is effectively avoided, and the stable operation of the system is ensured.

[0010] Optionally, the collaborative control module specifically includes: A mode selection unit, used to determine whether the system operates in an adaptive mode or a controlled mode according to whether a superior power planning curve is received; An adaptive control unit, used to control each energy device to operate in an economic operation mode according to the power instruction and the power transmission instruction in an adaptive mode; The controlled operation unit is used to control each energy device to operate according to the planned curve according to the power planned curve issued by the superior in the controlled mode; A switching execution unit is used to switch and enable the adaptive control unit or the controlled operation unit according to the output of the mode selection unit to achieve system mode conversion.

[0011] By adopting the above technical solution, since the AC / DC hybrid distribution network needs to meet both economic and dispatchable goals at the same time, the traditional single operation mode is difficult to adapt to the flexible and changeable operation needs; the mode selection unit of this application first identifies the system operating conditions, and when there is no power plan, the adaptive control unit drives the system to pursue the economic goal; when receiving the power plan, the controlled operation unit ensures that the system strictly executes the dispatch instructions; the switching execution unit is responsible for the smooth transition between the two modes; a dynamic balance between economy and dispatch is achieved, which not only ensures the system's dispatch execution capability, but also maximizes the economic operation benefits.

[0012] Optionally, the adaptive control unit specifically includes: The delay detection module is used to obtain the communication delay sequence between buses, calculate the delay change rate, and analyze the delay change trend based on the pre-established delay prediction model; A delay evaluation module, used to evaluate the communication quality status according to the delay change rate and delay change trend, and determine whether to trigger a hierarchical control strategy; The primary response module is used to adjust power based on the local measured values ​​of bus voltage, frequency and current at the device end when communication quality degrades, and ensure coordination between devices through adaptive parameter optimization; The secondary correction module is used to calculate the power cumulative deviation during the communication interruption period after the communication is restored, perform power command correction, and adopt a progressive switching strategy to achieve a smooth transition.

[0013] By adopting the above technical scheme, since the equipment in the AC / DC hybrid distribution network is widely distributed, fluctuations in communication quality are inevitable. The traditional control scheme that relies on real-time communication is prone to cause system loss of control when communication is abnormal; the delay detection module of the present application first monitors and predicts the communication status in real time, and the delay evaluation module then determines whether it is necessary to start hierarchical control. When the communication quality decreases, the first-level response module immediately switches to an adaptive control mode based on local measurement to ensure that the system is basically stable; after the communication is restored, the second-level correction module calculates the power deviation and adopts a progressive switching strategy to achieve smooth regression of the system; the reliability of the system in complex communication environments is improved.

[0014] Optionally, the energy management module specifically includes: A bus state evaluation unit, used to evaluate the power surplus and shortage states of the AC bus and the DC bus according to the power instruction; A mutual assistance strategy unit, used to formulate an electric energy mutual assistance plan between AC and DC buses according to the bus status; A power distribution unit, used for calculating the inter-bus power transfer instruction according to the mutual assistance scheme; The grid interaction unit is used to determine the power exchange strategy with the grid after mutual assistance between the busbars. When the system power is insufficient, it obtains power from the grid, and when there is surplus power, it sends power to the grid.

[0015] By adopting the above technical solution, when the DC bus has a power surplus and the AC bus has a power shortage, if a reasonable mutual assistance mechanism cannot be established in time, it may lead to an inefficient operating state in which one side abandons power while the other side needs to purchase power from the external power grid. In this application, the bus status evaluation unit first monitors the power balance status of each bus in real time, and then the mutual assistance strategy unit formulates the optimal mutual assistance plan based on the evaluation results. The power distribution unit then calculates the specific power transmission instructions. Finally, the power grid interaction unit optimizes the power exchange with the external power grid based on the internal mutual assistance. This not only improves the energy utilization efficiency of the system, but also reduces the interactive dependence with the external power grid.

[0016] Optionally, the device further comprises: The communication management module is used to exchange data with the station-level multi-energy management platform and receive the power curve from the upper-level control platform; An aggregation and coordination module, used for performing aggregation and coordinated coordination of microgrid groups according to the power curve; The inter-station mutual assistance module is used to perform independent operation or closed-loop mutual assistance according to the energy coordination needs between adjacent substations.

[0017] By adopting the above technical solutions, each substation and microgrid group in the traditional distribution network often adopts an independent operation mode, lacking inter-station coordination and microgrid aggregation management mechanism, resulting in limited overall control capabilities of the system; the communication management module of this application is responsible for data interaction with the superior platform, the aggregation and dispatching module coordinates the response of the microgrid group based on the power curve, and the inter-station mutual assistance module dynamically adjusts the operation mode according to the energy coordination demand; it not only enhances the system's execution ability of the superior control instructions, but also improves the flexibility of regional energy mutual assistance.

[0018] In a second aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the functional steps of the above-mentioned AC / DC hybrid distribution network multi-energy collaborative control device.

[0019] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application first collects AC and DC bus and equipment operation data, then calculates the power distribution between devices based on constraints such as voltage and power, then optimizes the energy mutual assistance path between buses, and finally coordinates the execution of control instructions for each device; significantly reduces the power conversion link, achieves precise mutual assistance, and effectively improves the system operation efficiency; 2. The power distribution of energy equipment in the traditional distribution network lacks consideration of the spatial location dimension, resulting in a generally long power supply path and increased system losses. In this application, the distance calculation unit first constructs a device-load distance matrix, and then the priority determination unit determines the power supply order based on the distance. Finally, the power distribution unit calculates the power instructions of each device according to the established order and load demand. By integrating the spatial location information into the power distribution decision-making process, the nearby consumption of electric energy is achieved, which significantly reduces the system transmission loss and improves the power supply efficiency. 3. Since the AC / DC hybrid distribution network needs to meet both economic and dispatchable goals, the traditional single operation mode is difficult to adapt to the flexible and changeable operation requirements; the mode selection unit of this application first identifies the system operating conditions. When there is no power plan, the adaptive control unit drives the system to pursue the economic goal; when receiving the power plan, the controlled operation unit ensures that the system strictly executes the dispatch instructions; the switching execution unit is responsible for the smooth transition between the two modes; it achieves a dynamic balance between economy and dispatchability, which not only ensures the system's dispatch execution capability, but also maximizes the economic operation benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the module of the multi-energy coordinated control device of the embodiment of the present application. Figure 1 ; Figure 2 This is a hardware structure block diagram of the multi-energy collaborative control device of the embodiment of the present application; Figure 3 is a schematic diagram of a power calculation module according to an embodiment of the present application; Figure 4 It is a module schematic diagram of a power distribution unit according to an embodiment of the present application; Figure 5 is a module schematic diagram of a collaborative control module in an embodiment of the present application; Figure 6 It is a module schematic diagram of an adaptive control unit in an embodiment of the present application; Figure 7 is a module schematic diagram of the energy management module of an embodiment of the present application; Figure 8 This is a schematic diagram of the module of the multi-energy coordinated control device of the embodiment of the present application. Figure 2 ; Fig. 9 It is a diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0022] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0023] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0024] In a first aspect, the present application provides a multi-energy coordinated control device for an AC / DC hybrid distribution network, referring to Figure 1 ,include: The data acquisition module is used to collect AC and DC bus voltage and current data and operating status data of various energy equipment to obtain real-time system operation data.

[0025] In this embodiment, refer to Figure 2 The data acquisition module realizes comprehensive monitoring of the AC and DC bus through the A / D sampling conversion circuit, including the voltage and current acquisition of the AC and DC bus, the measurement current acquisition of the AC and DC bus, and the insulation monitoring voltage acquisition of the DC bus balance bridge. The module uses a 64-bit core processor for data processing and storage to ensure sampling accuracy and real-time performance.

[0026] Specifically, the data acquisition module adopts a distributed acquisition architecture, and uses three-phase voltage and current synchronous sampling for the AC bus; positive and negative pole-to-ground voltage sampling and bus current sampling for the DC bus. After digital filtering and effective value calculation, all collected data are transmitted in microseconds through the EtherCAT bus, providing accurate real-time data support for subsequent control algorithms.

[0027] The power calculation module is used to calculate the power distribution plan among multiple energy devices according to the real-time operation data of the system and obtain the power instructions of each device.

[0028] In this embodiment, the power calculation module processes the collected multi-electric parameter data in real time based on edge computing technology, and calculates the optimal power allocation plan according to the system operating status and operating characteristics of various types of equipment.

[0029] Specifically, the power calculation first establishes a rolling time domain power balance model based on the photovoltaic power generation forecast and load forecast results; then, according to the state of charge (SOC) of the energy storage device and the energy demand of the charging device, a multi-objective optimization algorithm is used to calculate the power instructions of each device. The optimization goals include minimizing system losses and maximizing renewable energy consumption, while considering the operating constraints of various types of equipment, such as energy storage charging and discharging power limits and charging equipment power requirements.

[0030] The energy management module is used to determine the electric energy mutual assistance strategy between the AC and DC buses based on the power instruction and obtain the power transmission instruction between the buses.

[0031] In this embodiment, the energy management module is responsible for coordinating the mutual assistance of electric energy between the AC and DC buses, and reasonably allocates the flow of electric energy within the system by real-time monitoring of the bus power status to achieve efficient use of electric energy. This module adopts a hierarchical management strategy, giving priority to ensuring the balance of electric energy within the system, and only exchanges power with the external power grid when necessary.

[0032] Specifically, the energy management module first evaluates the power surplus and deficit status of the AC and DC buses, and then formulates the optimal mutual assistance strategy based on the power transmission efficiency between buses and the equipment operating cost. When a bus has power imbalance, internal mutual assistance is preferred for adjustment; if internal mutual assistance cannot meet the demand, the power exchange plan with the power grid is determined based on the principle of economy. The entire process uses a real-time optimization algorithm to ensure that the system always operates in the optimal state.

[0033] The collaborative control module is used to perform collaborative control of photovoltaic, energy storage and charging equipment according to the power instruction and the power transmission instruction.

[0034] In this embodiment, the collaborative control module assumes the final execution control function and realizes the coordinated control of various energy devices through a variety of communication interfaces (such as EtherCAT, EtherNET, CAN, RS485, etc.). The module has two working modes: adaptive and controlled, which can be flexibly switched according to actual needs.

[0035] Specifically, in adaptive mode, the collaborative control module autonomously adjusts the operating status of each device according to the power calculation results to ensure the optimal system economy; in controlled mode, it strictly implements the power plan curve issued by the superior to achieve precise control of the equipment. The control signal is sent to each execution device through HPLC, D / O and other interfaces, and a closed-loop control is established through real-time feedback to ensure the control effect.

[0036] In one embodiment, referring to Figure 3 , power calculation module, specifically including: The distance calculation unit is used to calculate the electrical distance between each energy device and the load according to the real-time operation data of the system to obtain the device-load distance matrix.

[0037] The electrical distance is obtained by weighting the line impedance, voltage loss and power loss from the equipment to the load.

[0038] In this embodiment, the distance calculation unit establishes an electrical distance evaluation model between the device and the load based on the electrical network topology and comprehensively considers the physical characteristics and operating status of the line. The model weights and combines factors such as line impedance, voltage loss, and power loss to form a unified distance metric.

[0039] Specifically, the electrical distance D between the equipment and the load can be expressed as: D = α·R+β·ΔU+γ·ΔP, where R is the line impedance value, ΔU is the voltage loss percentage, ΔP is the power loss percentage, and α, β, and γ are weighting coefficients.

[0040] The priority determination unit is used to determine the power supply priority of energy equipment according to the distance from near to far based on the equipment-load distance matrix, and obtain the power supply sequence of equipment.

[0041] In this embodiment, the priority determination unit adopts a progressive sorting method to arrange the distance values ​​in the equipment-load distance matrix in ascending order to establish a dynamic priority sequence of energy equipment.

[0042] Specifically, when there are multiple power supply devices in the system, the power supply device closest to each load node is first identified and set as the preferred power supply source for the load. For example, if the electrical distance from a load point to photovoltaic unit 1 is 0.8 and the electrical distance from energy storage unit 2 is 1.2, photovoltaic unit 1 will be used first to supply power to the load.

[0043] The power distribution unit is used to calculate the power distribution plan of each energy device according to the power supply sequence of the devices and the load power demand, and obtain the power instruction of each device.

[0044] In this embodiment, the power distribution unit calculates the output plan of each device based on the determined power supply priority of the equipment and the load power demand curve using a hierarchical allocation strategy. This strategy ensures that high-priority equipment first meets the needs of the proximal load, and the remaining capacity serves other loads.

[0045] Specifically, the power allocation adopts an iterative calculation method, first satisfying the power supply demand of the proximal load of the first-level priority equipment, and then calculating the power allocation values ​​of other priority equipment in turn.

[0046] In one embodiment, referring to Figure 4 , a power distribution unit, specifically comprising: A high frequency detector is used to detect the high frequency component of the power output.

[0047] In this embodiment, the high-frequency detector uses fast Fourier transform to perform real-time spectrum analysis on the power output signal, focusing on monitoring the power fluctuation characteristics in the high-frequency band.

[0048] A resonance suppressor is used to change the switching frequency when high-frequency power fluctuations are detected to suppress the resonance phenomenon in the power distribution process.

[0049] In this embodiment, after receiving the high-frequency detection signal, the resonance inhibitor adjusts the system switching frequency in real time to break the resonance condition that may be formed. The inhibitor dynamically optimizes the adjustment range and step size of the switching frequency according to the detected resonance frequency characteristics.

[0050] Specifically, when a resonance risk is detected, the suppressor first shifts the switching frequency upward from the nominal value and observes the system response. If the resonance phenomenon is suppressed, the frequency is maintained; if the resonance still exists, the frequency is adjusted step by step in smaller steps until the optimal operating frequency is found. For example, the system originally operated at a switching frequency of 10kHz. When a 2kHz resonance occurs, the resonance risk range is successfully avoided by adjusting the switching frequency to 10.5kHz.

[0051] In one embodiment, referring to Figure 5 , collaborative control module, specifically including: The mode selection unit is used to determine whether the system operates in an adaptive mode or a controlled mode according to whether the superior power planning curve is received.

[0052] In this embodiment, the mode selection unit monitors the sending status of the upper power plan curve in real time through the EtherNET communication interface, and is provided with a status judgment timer and a communication status detection mechanism.

[0053] Specifically, the mode selection unit scans the communication buffer every 100ms. If no valid power plan curve is detected for 5 consecutive seconds, it is determined that the system should run in adaptive mode. For example, when the upper platform suspends the issuance of power plans during maintenance, the system will automatically switch to adaptive mode.

[0054] The adaptive control unit is used to control each energy device to operate in an economic operation mode according to the power instruction and the power transmission instruction in an adaptive mode.

[0055] In this embodiment, the adaptive control unit adopts an economic optimization strategy to coordinate and control various energy devices based on real-time power instructions. The unit includes multiple operation scenario templates and can automatically match the optimal control strategy according to the current system state.

[0056] Specifically, in adaptive mode, the control unit prioritizes the use of renewable energy output. When photovoltaic power generation is insufficient, it dynamically adjusts according to the charge state of the energy storage device and the energy consumption characteristics of the charging device. For example, during periods of sufficient sunlight, the photovoltaic power is controlled to charge the energy storage device first, while meeting the energy consumption requirements of the charging pile.

[0057] The controlled operation unit is used to control each energy device to operate according to the planned curve according to the power plan curve issued by the superior in the controlled mode.

[0058] In this embodiment, after receiving the power plan curve, the controlled operation unit converts it into a device-level control instruction sequence, and ensures that each device strictly executes the plan curve through real-time feedback control.

[0059] A switching execution unit is used to switch and enable the adaptive control unit or the controlled operation unit according to the output of the mode selection unit to achieve system mode conversion.

[0060] In this embodiment, when it is necessary to switch from the adaptive mode to the controlled mode, the switching execution unit first freezes the output state of each device at present, then completes the control strategy switching, and then gradually adjusts to the operating state required by the planned curve according to the preset change rate.

[0061] In one embodiment, referring to Figure 6 , an adaptive control unit, specifically comprising: The delay detection module is used to obtain the communication delay sequence between buses, calculate the delay change rate, and analyze the delay change trend based on the pre-established delay prediction model.

[0062] In this embodiment, the delay detection module uses timestamp technology to monitor the communication data packets between buses in real time, records the round-trip delay value of data transmission, calculates the statistical characteristics of the delay sequence through the sliding window method, and establishes a delay prediction model based on historical data.

[0063] The delay evaluation module is used to evaluate the communication quality status according to the delay change rate and delay change trend, and determine whether to trigger the hierarchical control strategy.

[0064] In this embodiment, the delay evaluation module evaluates the communication quality in real time based on a preset hierarchical evaluation standard. The module sets multiple evaluation thresholds, and when the delay change rate or the prediction result exceeds the threshold, the corresponding level of control strategy switching signal is triggered.

[0065] Specifically, the latency assessment adopts a three-level warning mechanism. When the latency change rate exceeds 20ms / s, a warning is issued, and when it exceeds 50ms / s, the system enters the first-level response state. For example, when it is detected that the communication latency increases from 2ms to 60ms within 1s, the system directly switches to the first-level response mode.

[0066] The first-level response module is used to adjust power based on the local measured values ​​of bus voltage, frequency and current at the device end when the communication quality deteriorates, and ensure coordination between devices through adaptive parameter optimization.

[0067] In this embodiment, the primary response module performs autonomous control through the locally measured electrical quantities and adopts an adaptive droop control strategy to achieve power coordination between devices. The module contains multiple sets of preset control parameter templates, which can dynamically optimize control parameters based on local measurements.

[0068] Specifically, when a first-level response is triggered, the module reads local voltage and frequency measurements and performs power regulation based on preset active-frequency and reactive-voltage characteristic curves.

[0069] The secondary correction module is used to calculate the power cumulative deviation during the communication interruption period after the communication is restored, perform power command correction, and adopt a progressive switching strategy to achieve a smooth transition.

[0070] In this embodiment, the secondary correction module calculates the control deviation and performs compensation correction after the communication is restored. The module uses a piecewise linearization method to design a transition curve to ensure a smooth transition of the system during the recovery process.

[0071] Specifically, after the communication is restored, the module first calculates the accumulated value of the power deviation during the first-level response period, and then performs power correction according to the maximum change rate limit.

[0072] In one embodiment, referring to Figure 7 , energy management module, specifically including: The bus state evaluation unit is used to evaluate the power surplus and shortage states of the AC bus and the DC bus according to the power instruction.

[0073] In this embodiment, the bus state evaluation unit dynamically evaluates the operating state of the AC and DC buses through real-time power balance analysis.

[0074] Specifically, the evaluation unit calculates the power balance status every 100ms, and triggers the status evaluation when the bus power deviation exceeds ±5% of the rated capacity. For example, when the DC bus power generation is 120kW and the load demand is 80kW, it is determined to be a 40kW power surplus; if the load demand is 150kW, it is determined to be a 30kW power deficit.

[0075] The mutual assistance strategy unit is used to formulate an electric energy mutual assistance plan between the AC and DC buses according to the bus status.

[0076] In this embodiment, the mutual aid strategy unit adopts a time-sharing and graded coordinated control method to determine the magnitude and direction of the mutual aid power according to the bus status level. Specifically, the mutual aid strategy is formulated based on the principle of "nearby balance and economic mutual aid".

[0077] The power distribution unit is used to calculate the power transfer instruction between buses according to the mutual assistance scheme.

[0078] In this embodiment, the power distribution unit converts the mutual power demand into specific device control instructions through a real-time power balancing algorithm.

[0079] Specifically, the power allocation adopts a progressive calculation method, first determining the power transmission channel, and then calculating the specific instruction value of each device.

[0080] The grid interaction unit is used to determine the power exchange strategy with the grid after mutual assistance between the busbars. When the system power is insufficient, it obtains power from the grid, and when there is surplus power, it sends power to the grid.

[0081] In this embodiment, the grid interaction unit optimizes the power exchange strategy with the grid based on the real-time electricity price information and system status.

[0082] Specifically, the grid interaction strategy takes into account the difference between peak and valley electricity prices, giving priority to using grid electricity to supplement system shortages during periods of low electricity prices, and giving priority to sending surplus electricity during periods of high electricity prices. For example, during valley electricity price periods, when the system is short of 15kW, it directly purchases electricity from the grid; during peak electricity price periods, it gives priority to meeting load demand through internal mutual assistance.

[0083] In one embodiment, referring to Figure 8 , the device further comprises: The communication management module is used to exchange data with the station-level multi-energy management platform and receive the power curve from the upper-level control platform; An aggregation and coordination module, used for performing aggregation and coordinated coordination of microgrid groups according to the power curve; The inter-station mutual assistance module is used to perform independent operation or closed-loop mutual assistance according to the energy coordination needs between adjacent substations.

[0084] In one embodiment, the present application provides an electronic device, which may be a server, and its internal structure diagram may be as follows: Fig. 9As shown. The electronic device includes a processor, a memory and a network interface connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the functional steps of a multi-energy collaborative control device for an AC / DC hybrid distribution network are implemented.

[0085] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0086] In one embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0087] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the above-mentioned computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0088] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A multi-energy coordinated control device for an AC / DC hybrid distribution network, characterized in that: include: Data acquisition module, used to collect AC and DC bus voltage and current data and operating status data of various energy equipment to obtain real-time system operation data; A power calculation module is used to calculate the power distribution scheme among multiple energy devices according to the real-time operation data of the system and obtain the power instruction of each device; An energy management module, used to determine the electric energy mutual assistance strategy between the AC and DC buses based on the power instruction, and obtain the power transmission instruction between the buses; The collaborative control module is used to perform collaborative control of photovoltaic, energy storage and charging equipment according to the power instruction and the power transmission instruction.

2. The AC / DC hybrid distribution network multi-energy coordinated control device according to claim 1 is characterized in that: Power calculation module, including: A distance calculation unit is used to calculate the electrical distance between each energy device and the load according to the real-time operation data of the system to obtain a device-load distance matrix, wherein the electrical distance is obtained by comprehensive weighting according to the line impedance, voltage loss and power loss from the device to the load; A priority determination unit, configured to determine the power supply priority of energy equipment according to the distance from near to far based on the equipment-load distance matrix, and obtain the power supply sequence of equipment; The power distribution unit is used to calculate the power distribution plan of each energy device according to the power supply sequence of the devices and the load power demand, and obtain the power instruction of each device.

3. The AC / DC hybrid distribution network multi-energy coordinated control device according to claim 2 is characterized in that: The power distribution unit specifically comprises: A high frequency detector for detecting a high frequency component of the power output; A resonance suppressor is used to change the switching frequency when high-frequency power fluctuations are detected to suppress the resonance phenomenon in the power distribution process.

4. The AC / DC hybrid distribution network multi-energy coordinated control device according to claim 1, characterized in that: The collaborative control module specifically includes: A mode selection unit, used to determine whether the system operates in an adaptive mode or a controlled mode according to whether a superior power planning curve is received; An adaptive control unit, used to control each energy device to operate in an economic operation mode according to the power instruction and the power transmission instruction in an adaptive mode; The controlled operation unit is used to control each energy device to operate according to the planned curve according to the power planned curve issued by the superior in the controlled mode; A switching execution unit is used to switch and enable the adaptive control unit or the controlled operation unit according to the output of the mode selection unit to achieve system mode conversion.

5. The AC / DC hybrid distribution network multi-energy coordinated control device according to claim 4 is characterized in that: The adaptive control unit specifically comprises: The delay detection module is used to obtain the communication delay sequence between buses, calculate the delay change rate, and analyze the delay change trend based on the pre-established delay prediction model; A delay evaluation module, used to evaluate the communication quality status according to the delay change rate and delay change trend, and determine whether to trigger a hierarchical control strategy; The primary response module is used to adjust power based on the local measured values ​​of bus voltage, frequency and current at the device end when communication quality degrades, and ensure coordination between devices through adaptive parameter optimization; The secondary correction module is used to calculate the power cumulative deviation during the communication interruption period after the communication is restored, perform power command correction, and adopt a progressive switching strategy to achieve a smooth transition.

6. The AC / DC hybrid distribution network multi-energy coordinated control device according to claim 1, characterized in that: The energy management module specifically includes: A bus state evaluation unit, used to evaluate the power surplus and shortage states of the AC bus and the DC bus according to the power instruction; A mutual assistance strategy unit, used to formulate an electric energy mutual assistance plan between AC and DC buses according to the bus status; A power distribution unit, used for calculating the inter-bus power transfer instruction according to the mutual assistance scheme; The grid interaction unit is used to determine the power exchange strategy with the grid after mutual assistance between the busbars. When the system power is insufficient, it obtains power from the grid, and when there is surplus power, it sends power to the grid.

7. The AC / DC hybrid distribution network multi-energy coordinated control device according to claim 1, characterized in that: The device also includes: The communication management module is used to exchange data with the station-level multi-energy management platform and receive the power curve from the upper-level control platform; An aggregation and coordination module, used for performing aggregation and coordinated coordination of microgrid groups according to the power curve; The inter-station mutual assistance module is used to perform independent operation or closed-loop mutual assistance according to the energy coordination needs between adjacent substations.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the functional steps of the multi-energy coordinated control device for an AC / DC hybrid distribution network described in any one of claims 1-7 are implemented.

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