Islanding multi-source collaborative response control method and system

Abstract

This invention relates to the field of power grid control technology, specifically to a method and system for coordinated response control of multiple power sources in an isolated grid. The method includes: constructing a virtual energy potential field model of the isolated grid, obtaining the virtual potential energy values ​​of each node, forming a potential energy gradient, decoupling the isolated grid disturbance response process by time slicing, and forming a hierarchical control structure according to different time scales; when a disturbance or fault occurs in the isolated grid, determining the target node and its corresponding first potential energy gradient; and based on the first potential energy gradient and the hierarchical control structure, driving different power generation units and energy storage units to coordinate control within their respective time scales, thereby ensuring stable operation of the isolated grid. This invention, by constructing a virtual energy potential field model of the isolated grid, achieves real-time assessment of the energy surplus or deficit of each node in the isolated grid, forms a unified potential energy gradient, and combines microsecond, millisecond, and second-level hierarchical control to drive coordinated response of power generation units and energy storage units, achieving high-frequency rapid support, medium-frequency stable regulation, and low-frequency energy balance.

Description

Technical Field

[0001] This invention relates to the field of power grid control technology, specifically to a method and system for coordinated response control of multiple power sources in an isolated grid. Background Technology

[0002] With the rapid increase in the proportion of renewable energy generation, isolated power grids (referred to as islanded grids) face increasingly complex control issues in actual operation. Islanded grids typically consist of multiple types of power sources, including traditional power generation units (such as diesel generators and gas turbines), renewable energy power generation units (such as photovoltaic and wind power), and energy storage units (such as battery energy storage, supercapacitors, and flywheel energy storage). Due to the limited power supply capacity of islanded grids and the lack of support from the main power grid, load fluctuations or power disturbances can easily lead to large fluctuations in voltage and frequency, or even system instability.

[0003] Existing islanded grid control methods mainly include traditional PID regulation, virtual inertia or power balance control, but these methods have many shortcomings: traditional control methods have limited response speed under high frequency disturbances and cannot effectively suppress transient power surges; multi-power source coordination capability is insufficient, and there is a lack of unified energy coordination strategy among new energy power generation, energy storage units and traditional power generation units, and independent operation of each unit can easily lead to power conflicts or energy waste. Summary of the Invention

[0004] (a) Purpose of the invention The purpose of this invention is to provide a method and system for coordinated response control of multiple power sources in an isolated grid. By constructing a virtual energy potential field model of the isolated grid, it enables real-time assessment of the energy surplus or deficit of each node in the grid, forming a unified potential gradient. Combined with microsecond, millisecond, and second-level hierarchical control, it drives the coordinated response of power generation units and energy storage units, achieving rapid high-frequency support, stable mid-frequency regulation, and low-frequency energy balance. This method improves the stability and operational safety of the isolated grid, optimizes the coordinated capability of multiple power sources, and avoids power conflicts and energy waste.

[0005] (II) Technical Solution To address the above problems, this invention provides a method for coordinated response control of multiple power sources in an isolated grid, comprising: Based on the operating status and interaction relationship of power generation units, load units and energy storage units, a virtual energy potential field model of isolated grid is constructed. The virtual energy potential field model of isolated grid includes several nodes. Based on the isolated network virtual energy potential field model and real-time operating status, the virtual potential energy value of each node is obtained; A potential energy gradient is formed based on the virtual potential energy values ​​of different nodes. The potential energy gradient is the driving force for energy flow and is used to indicate the direction and priority of energy flow between different nodes. Time-slicing decouples the isolated network disturbance response process, forming a hierarchical control structure according to different time scales; When an isolated network experiences a disturbance or failure, the target node and its corresponding first potential gradient are determined based on the isolated network virtual energy potential field model. Based on the first potential energy gradient and hierarchical control structure, different power generation units and energy storage units are driven to coordinate control within their respective time scales, so as to ensure the stable operation of the isolated grid.

[0006] In another aspect of the present invention, preferably, the node includes a high-potential energy node, a low-potential energy node, and a variable-potential energy node, wherein the power generation unit is a high-potential energy node, the load unit is a low-potential energy node, and the energy storage unit is a variable-potential energy node.

[0007] In another aspect of the present invention, preferably, the construction of the islanded virtual energy potential field model based on the operating states and interaction relationships of the power generation unit, load unit, and energy storage unit includes: The real-time operating parameters of each power generation unit, load unit, and energy storage unit are obtained. The operating parameters include at least one of voltage amplitude, frequency, power output value, and power demand value. Obtain the network topology connections between the power generation unit, load unit, and energy storage unit; Based on the operating parameters and network topology connections, a virtual energy potential field model for the isolated network is formed.

[0008] In another aspect of the present invention, preferably, obtaining the virtual potential energy value of each node based on the isolated network virtual energy potential field model and real-time operating status includes: Obtain the real-time power output, reference power requirement, and node voltage amplitude of each node; Calculate the power deviation and voltage deviation at each node; The power deviation and voltage deviation of the node are combined according to a preset weight to form the instantaneous energy state index of the node. Based on the instantaneous energy state index of the node and its electrical coupling relationship with neighboring nodes, the virtual potential energy value of each node is calculated. The virtual potential energy value increases with the increase of node power surplus and decreases with the decrease of power deficiency.

[0009] In another aspect of the present invention, preferably, the virtual potential energy value of each node is calculated based on the instantaneous energy state index of the node and its electrical coupling relationship with neighboring nodes, including: Based on the network topology, line parameters are obtained, including the line impedance between nodes. Calculate the electrical coupling strength between a node and its neighboring nodes based on the network topology and line parameters. The instantaneous energy state index of a node is combined with its electrical coupling strength with neighboring nodes, and weighted according to a preset rule to obtain the virtual potential energy value of each node.

[0010] In another aspect of the present invention, preferably, the step of forming a potential energy gradient based on the virtual potential energy values ​​of different nodes includes: Obtain the virtual potential energy value of each node and its neighboring node information in the network; Calculate the virtual potential energy difference between adjacent nodes, where the virtual potential energy difference is the initial potential energy gradient between nodes; Based on the network topology and the electrical coupling strength between nodes, the initial potential gradient is weighted to form a potential gradient.

[0011] In another aspect of the present invention, preferably, the time slicing includes: dividing the islanded network disturbance response process into: microsecond-level slices, millisecond-level slices, and second-level slices; The layered control structure includes a support layer, a stabilizing layer, and a balancing layer; The time-slicing decoupling of the isolated network disturbance response process, forming a hierarchical control structure according to different time scales, includes: The microsecond-level slice corresponds to the support layer, which includes a supercapacitor and flywheel energy storage in the energy storage unit. The millisecond-level slice corresponds to a stabilization layer, which includes battery energy storage in the energy storage unit and new energy power generation in the power generation unit. The second-level slice corresponds to the balance layer, which includes diesel power generation and gas turbine power generation in the power generation unit.

[0012] In another aspect of the present invention, preferably, determining the target node and its corresponding first potential gradient based on the virtual energy potential field model of the isolated network when a disturbance or fault occurs includes: The energy deviation of each node is calculated based on the difference between the virtual potential energy value and the preset reference potential energy value. Identify the node with the largest energy deviation as the target node; The virtual potential energy difference between the target node and its neighboring nodes is calculated to form the first potential energy gradient of the target node.

[0013] In another aspect of the present invention, preferably, the method of driving different power generation units and energy storage units to coordinate control within their respective time scales based on the first potential energy gradient and hierarchical control structure to ensure stable operation of the isolated grid includes: The first potential energy gradient is input into the hierarchical control structure. Based on the direction and magnitude of the potential energy gradient, the energy adjustment priority and adjustment value of each node are determined in each time slice. Adjustments are made according to the energy adjustment priority and adjustment value of each node to ensure the stable operation of the isolated network.

[0014] In another aspect of the present invention, a preferred method for an islanded multi-power source cooperative response control system includes: Construction module: Based on the operating status and interaction relationship of the power generation unit, load unit and energy storage unit, a virtual energy potential field model of the isolated grid is constructed. The virtual energy potential field model of the isolated grid includes several nodes. Acquisition Module: Based on the isolated network virtual energy potential field model and real-time operating status, obtain the virtual potential energy value of each node; Formation module: Forms potential energy gradients based on the virtual potential energy values ​​of different nodes. The potential energy gradients are the driving force for energy flow and are used to indicate the direction and priority of energy flow between different nodes. Decoupling module: Decouples the isolated network disturbance response process by time slicing, forming a hierarchical control structure according to different time scales; Determination module: When an isolated network experiences a disturbance or failure, the target node and its corresponding first potential gradient are determined based on the isolated network virtual energy potential field model. Control module: Based on the first potential energy gradient and hierarchical control structure, it drives different power generation units and energy storage units to coordinate control within their respective time scales, so as to ensure the stable operation of the isolated grid.

[0015] (III) Beneficial Effects The above-described technical solution of the present invention has the following beneficial technical effects: This invention constructs a virtual energy potential field model for an isolated network, enabling real-time quantification and evaluation of the energy surplus and deficit of each node in the isolated network, and forming a unified potential gradient to provide a clear driving force and priority indication for energy flow. During the isolated network disturbance response process, a hierarchical control structure with microsecond, millisecond, and second-level time slices is employed to fully utilize the characteristics of various power sources, achieving rapid response, efficient regulation, and energy optimization, thereby improving system stability and operational safety while avoiding power conflicts and energy waste. Attached Figure Description

[0016] Figure 1 This is an overall flowchart of one embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments and the accompanying drawings. It should be understood that these descriptions are merely exemplary and not intended to limit the scope of the invention. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concept of the invention.

[0018] Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0019] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0020] Example 1 A method for coordinated response control of multiple power sources in an isolated network. Figure 1 An overall flowchart of one embodiment of the present invention is shown, as follows: Figure 1 As shown, it includes: Based on the operating states and interactions of power generation units, load units, and energy storage units, a virtual energy potential field model for an isolated grid is constructed. This model includes several nodes. The operating parameters include voltage amplitude, frequency, power output, power demand, state constraints, and their electrical connections. Based on the aforementioned operating states and the topology and power interaction paths between nodes, a virtual energy potential field model covering the entire grid is constructed. The isolated grid is divided into multiple nodes, each corresponding to an energy unit or load region, used to characterize the energy state of that node.

[0021] In this embodiment, nodes include high-potential nodes, low-potential nodes, and variable-potential nodes. The power generation unit is a high-potential node, the load unit is a low-potential node, and the energy storage unit is a variable-potential node. Each operating unit in the islanded grid system is abstracted as a node in the potential energy field model. Nodes are classified into high-potential nodes, low-potential nodes, and variable-potential nodes according to their function in energy supply and demand. High-potential nodes represent power generation units with continuous energy supply capabilities, capable of outputting power to the system and possessing a certain adjustment margin. Low-potential nodes represent load units that primarily consume electrical energy, whose power demand varies with operating conditions. Variable-potential nodes represent energy storage units with bidirectional energy flow capabilities, capable of both releasing energy to the system as energy compensation units and absorbing excess electrical energy as absorption units.

[0022] Based on the operating status and interaction relationships of power generation units, load units, and energy storage units, a virtual energy potential field model of the isolated grid is constructed, including: The real-time operating parameters of each power generation unit, load unit, and energy storage unit are obtained. The operating parameters include at least one of voltage amplitude, frequency, power output value, and power demand value. The network topology connections between the power generation unit, load unit, and energy storage unit are obtained, including the electrical connection methods between nodes, the line connection relationships, and the energy transmission paths between nodes, thereby completely depicting the electrical network structure inside the isolated network.

[0023] Based on the operating parameters and network topology connections, a virtual energy potential field model for the isolated network is formed.

[0024] Based on the isolated network virtual energy potential field model and real-time operating status, the virtual potential energy value of each node is obtained. The virtual potential energy value increases with the increase of the node's power surplus and decreases with the increase of the power deficiency, and is used to characterize the energy surplus or deficit of the node. In this embodiment, obtaining the virtual potential energy value of each node based on the isolated network virtual energy potential field model and real-time operating status includes: The system acquires the real-time power output, reference power demand, and node voltage amplitude of each node. The reference power demand can be determined based on the system's planned operating power, dispatch instructions, or the node's rated load. The node voltage amplitude can be acquired in real time by the online monitoring device or calculated by the control system.

[0025] Calculate the power deviation and voltage deviation of each node; based on the real-time power output value and the reference power demand value, calculate the power deviation of each node to obtain the power deviation information of the node, which is used to reflect whether the node currently has a power surplus or power shortage; at the same time, based on the difference between the node voltage amplitude and the target voltage level, calculate the node voltage deviation to reflect the node voltage quality and stability.

[0026] The power deviation and voltage deviation of the node are combined according to a preset weight to form the instantaneous energy state index of the node. The preset weight can be determined based on system operation experience, node importance or through offline simulation optimization, or it can be adaptively adjusted according to the operation scenario to ensure that the instantaneous energy state index has reasonable physical meaning and control guidance under different operating conditions.

[0027] Based on the instantaneous energy state indices of each node and its electrical coupling relationship with neighboring nodes, the virtual potential energy value of each node is calculated. The virtual potential energy value increases with increasing node power surplus and decreases with insufficient power. After obtaining the instantaneous energy state indices of each node, the energy interaction capability and mutual influence between nodes are comprehensively evaluated in conjunction with the power grid topology and the electrical coupling relationship between nodes. The electrical coupling relationship can be determined based on the electrical distance between nodes, impedance parameters, tie-line capacity, or power flow distribution, and is used to reflect the strength of the impact of a node's state change on the electrical behavior of neighboring nodes. The virtual potential energy value is used to characterize the relative "height" of a node in the overall network's virtual energy potential field. Its magnitude reflects the node's energy supply and demand capability at the current moment and its contribution to or risk level to the stable operation of the system. Specifically, when a node has a large power surplus, strong energy support capability, and stable voltage level, its virtual potential energy value increases accordingly; when a node has significant power shortage, large voltage deviation, or a weak operating state, its virtual potential energy value decreases accordingly.

[0028] Furthermore, in this embodiment, the virtual potential energy value of each node is calculated based on the instantaneous energy state index of the node and its electrical coupling relationship with neighboring nodes, including: Based on the network topology, line parameters are obtained, including the line impedance between nodes. These parameters can be obtained through design parameters, online monitoring devices, or system model libraries, or determined through calibration or offline calculation before system operation.

[0029] Based on the network topology and line parameters, the electrical coupling strength between nodes and their neighbors is calculated. Electrical coupling strength reflects the degree of electrical mutual influence between two nodes, and its value can be determined based on factors such as line impedance, number of lines, power flow distribution between nodes, or electrical distance. For example, the smaller the line impedance or the stronger the power exchange capacity between nodes, the greater the corresponding electrical coupling strength; conversely, when the impedance is large or the connection capacity is weak, the electrical coupling strength is relatively small. Electrical coupling strength can be obtained quantitatively or normalized to form a dimensionless index for unified use in subsequent potential energy calculations.

[0030] The instantaneous energy state index of a node is combined with its electrical coupling strength with neighboring nodes, and weighted according to preset rules to obtain the virtual potential energy value of each node. The instantaneous energy state index of a node can be used as the basic variable, with the electrical coupling strength between the node and its neighboring nodes as the weighting factor, and weighted according to preset rules to form the comprehensive virtual energy performance of the node in the entire network environment.

[0031] A potential energy gradient is formed based on the virtual potential energy values ​​of different nodes. The potential energy gradient is the driving force for energy flow and is used to indicate the direction and priority of energy flow between different nodes. The potential energy gradient is used to indicate the direction, trend and adjustment priority of energy flow between different nodes, thereby providing a unified criterion for subsequent coordinated control.

[0032] In this embodiment, a potential energy gradient is formed based on the virtual potential energy values ​​of different nodes, including: The system acquires the virtual potential energy value of each node and its neighboring node information in the network; it also acquires the calculated virtual potential energy value of each node and determines the neighboring node information of each node based on the network topology. The neighboring nodes can be nodes directly connected to the node via a line, or, if necessary, can be extended to nodes with indirect communication relationships with the node. The proximity relationship can be flexibly set according to the system scale and control requirements.

[0033] The virtual potential energy difference between adjacent nodes is calculated, and this virtual potential energy difference is the initial potential energy gradient between the nodes. Based on the virtual potential energy values ​​between the nodes, the potential energy difference is calculated for adjacent nodes that are directly connected in the topology, thus obtaining the virtual potential energy difference between each node. This virtual potential energy difference reflects the relative difference in energy supply and demand states between two nodes and is the basis for forming the initial potential energy gradient between nodes.

[0034] Based on the network topology and the electrical coupling strength between nodes, the initial potential energy gradient is weighted to form a potential energy gradient. After obtaining the initial potential energy gradient, it is further weighted and corrected by considering the network topology and the electrical coupling strength between nodes. The electrical coupling strength is used as a weighting factor to adjust the effectiveness of the initial potential energy gradient. For example, for node pairs with strong electrical coupling, their energy interaction capability is stronger, and the corresponding potential energy gradient weight is higher; for node pairs with weak electrical coupling and limited transmission capability, their potential energy gradient weight is relatively reduced to avoid generating unreasonable energy regulation commands under insufficient physical conditions.

[0035] Time-slicing decoupling is applied to the islanded grid disturbance response process, forming a hierarchical control structure based on different time scales. This allows different types of power sources to participate in coordinated regulation at different time scales, with each type participating according to its inherent response speed and output capability. This achieves rapid suppression, stable recovery, and continuous balanced control of islanded grid disturbances. Time slices are used to divide the islanded grid disturbance response process into microsecond-level, millisecond-level, and second-level slices; each time slice corresponds to a different stage of the islanded grid's operating state and different control objectives.

[0036] The layered control structure includes a support layer, a stabilizing layer, and a balancing layer; The time-slicing decoupling of the isolated network disturbance response process, forming a hierarchical control structure according to different time scales, includes: The microsecond-level slice corresponds to the support layer, which includes supercapacitors and flywheel energy storage in the energy storage unit. The microsecond-level slice corresponds to the ultra-fast response phase after a system disturbance, primarily used to suppress transient impacts, voltage spikes, and initial frequency shifts caused by the disturbance. Within this timescale, the control level is defined as the support layer, which primarily uses energy storage units with extremely high power density and extremely fast dynamic response capabilities as the main regulating body, preferably including supercapacitor energy storage and flywheel energy storage devices. Supercapacitors can rapidly release or absorb energy within microseconds to compensate for extremely short-term power imbalances; flywheel energy storage achieves rapid inertial support through mechanical-electrical energy conversion, helping to form virtual inertia, suppressing transient frequency fluctuations, and thus effectively supporting the initial stability of the system.

[0037] The millisecond-level slice corresponds to the stabilization layer, which includes battery energy storage in the energy storage unit and new energy power generation in the power generation unit. The millisecond-level slice corresponds to the transitional stabilization phase of the islanded grid disturbance response, a crucial stage in the system's recovery from sudden shocks to stable operation. During this phase, a stabilization layer control structure is constructed, primarily regulated by battery energy storage in the energy storage unit and the new energy power generation system in the power generation unit. Battery energy storage possesses high energy capacity and fast response speed, enabling continuous power output or absorption within the millisecond to second range, further mitigating islanded grid frequency and voltage deviations and supporting system transitional stability. New energy power generation units, such as photovoltaic and wind power, participate in power regulation through power conversion devices, working in conjunction with batteries to achieve active power support and reactive power regulation during this phase, thereby enhancing system stability and robustness.

[0038] The second-level slice corresponds to the balancing layer, which includes diesel generators and gas turbine generators in the power generation units. The second-level slice corresponds to the long-term recovery and power balance stage after a disturbance, which is the main stage for the system to achieve energy supply and demand balance and restore normal operating status. At this time scale, a balancing layer control structure is set up, mainly involving regulation by traditional power generation units such as diesel generators and gas turbines. Diesel generators and gas turbines have large output capacity and continuous power supply capability, and can gradually adjust their output according to the system power gap or the power coordination needs of multiple power sources, achieving overall power balance, frequency recovery, and stable operation of the isolated grid system. Simultaneously, by gradually relieving the regulation pressure of the first two layers of energy storage units, the energy storage life can be significantly extended and the system's economic efficiency improved.

[0039] When an isolated network experiences a disturbance or failure, the target node and its corresponding first potential gradient are determined based on the isolated network virtual energy potential field model. The first potential gradient is a targeted potential gradient recalculated around the target node based on the existing potential gradient. In this embodiment, it includes: The energy deviation of each node is calculated based on the difference between its virtual potential energy value and the preset reference potential energy value. Similarly, the energy deviation of each node is calculated based on the difference between its current virtual potential energy value and the preset reference potential energy value. The preset reference potential energy value can be determined based on the steady-state operating level under normal operating conditions, or based on historical operating data or system planning objectives. The energy deviation reflects the degree of deviation of the node's current energy state from the ideal state; the larger the absolute value, the greater the deviation of the node's operating state, and the stronger the urgency for the system to adjust the node's energy.

[0040] The node with the largest energy deviation is identified as the target node. After obtaining the energy deviations of all nodes, the energy deviations of each node are compared and analyzed to identify the node with the largest energy deviation, which is then designated as the target node. The target node is the node most significantly affected by islanded disturbances or faults. This node may exhibit severe energy deficiency, significant voltage or frequency deviations, or pose a significant risk to the overall stability of the system. Prioritizing this node for regulation helps to quickly concentrate the system's regulation capabilities and achieve effective control in the early stages of disturbances.

[0041] The virtual potential energy difference between the target node and its neighboring nodes is calculated to form the first potential energy gradient of the target node. Based on the virtual potential energy values ​​of the target node and its neighboring nodes connected through the network topology, the virtual potential energy difference between the target node and each neighboring node is calculated. This potential energy difference is used to characterize the relative difference in energy supply and demand between the target node and its neighboring nodes. Based on the above virtual potential energy differences, the first potential energy gradient of the target node is formed. This first potential energy gradient not only characterizes the directional trend of energy flow in the local area around the target node, but also serves as the main basis for subsequent energy compensation, power allocation, and multi-power source coordinated regulation.

[0042] Based on the first potential energy gradient and hierarchical control structure, different power generation units and energy storage units are driven to coordinate control within their respective time scales, enabling stable operation of the isolated grid, including: The first potential energy gradient is input into the hierarchical control structure. Based on the direction and amplitude of the potential energy gradient, the energy regulation priority and regulation value of each node are determined within each time slice. The first potential energy gradient not only indicates the direction of energy demand in the target node and its surrounding area, but its amplitude also characterizes the urgency and required regulation intensity of energy regulation. Based on the direction and amplitude information of the potential energy gradient, the hierarchical control structure determines the energy regulation priority and regulation value of participating nodes in different time slices, thereby driving different types of power generation units and energy storage units to carry out coordinated regulation within their respective applicable time scales. Within the support layer (microsecond time scale), fast energy storage units such as supercapacitors and flywheel energy storage are given priority to undertake the initial regulation task. Based on the amplitude of the first potential energy gradient and the maximum output capacity, remaining available capacity, and allowable power change rate of the fast energy storage unit, its instantaneous power regulation value is determined, so that it can offset the transient power gap corresponding to the potential energy gradient as much as possible without exceeding the safe operation constraints, thereby obtaining the support layer regulation value. Within the stable layer (millisecond time scale), based on the compensation effect already provided by the support layer, the remaining uncompensated energy deviation is recalculated. Based on the remaining deviation and the output capacity, response speed, SOC status, and regulation margin of the battery energy storage unit and the new energy power generation unit, power is allocated to each relevant node, and its corresponding power regulation value is determined. The stabilization layer regulation value is mainly used to further reduce the potential energy gradient amplitude, so that the system frequency and voltage deviations continue to converge. Within the equilibrium layer (second-level time scale), based on the steady-state potential energy distribution of the system after adjustment by the support layer and the stabilization layer, the overall remaining energy gap or surplus of the system is calculated. Combining factors such as the rated capacity, minimum stable output, ramping constraints, and fuel economy of traditional power generation units such as diesel generators and gas turbines, their long-term output adjustment is determined as the equilibrium layer regulation value, used to complete the long-term power balance and stable operation of the system.

[0043] Adjustments are made according to the energy adjustment priorities and values ​​of each node to ensure stable operation of the isolated grid. After determining the energy adjustment priorities and values ​​at each level, the corresponding control unit sends adjustment commands to the relevant power generation and energy storage units, causing each unit to execute output adjustments according to a preset timing and control strategy. This gradually reduces the amplitude of the first potential energy gradient, bringing the energy state of the target node closer to the ideal level and restoring the overall potential energy distribution of the system to a balanced and stable state. This achieves stable operation and rapid recovery of the isolated grid system under disturbance or fault conditions.

[0044] This invention constructs a virtual energy potential field model for an isolated network, enabling real-time quantification and evaluation of the energy surplus and deficit of each node in the isolated network, and forming a unified potential gradient to provide a clear driving force and priority indication for energy flow. During the isolated network disturbance response process, a hierarchical control structure with microsecond, millisecond, and second-level time slices is employed to fully utilize the characteristics of various power sources, achieving rapid response, efficient regulation, and energy optimization, thereby improving system stability and operational safety while avoiding power conflicts and energy waste.

[0045] Example 2 An isolated grid multi-power source cooperative response control system includes: Construction module: Based on the operating status and interaction relationship of the power generation unit, load unit and energy storage unit, a virtual energy potential field model of the isolated grid is constructed. The virtual energy potential field model of the isolated grid includes several nodes. Acquisition Module: Based on the isolated network virtual energy potential field model and real-time operating status, obtain the virtual potential energy value of each node; Formation module: Forms potential energy gradients based on the virtual potential energy values ​​of different nodes. The potential energy gradients are the driving force for energy flow and are used to indicate the direction and priority of energy flow between different nodes. Decoupling module: Decouples the isolated network disturbance response process by time slicing, forming a hierarchical control structure according to different time scales; Determination module: When an isolated network experiences a disturbance or failure, the target node and its corresponding first potential gradient are determined based on the isolated network virtual energy potential field model. Control module: Based on the first potential energy gradient and hierarchical control structure, it drives different power generation units and energy storage units to coordinate control within their respective time scales, so as to ensure the stable operation of the isolated grid.

[0046] It should be understood that the specific embodiments described above are merely illustrative or explanatory of the principles of the invention and do not constitute a limitation thereof. Therefore, any modifications, equivalent substitutions, improvements, etc., made without departing from the spirit and scope of the invention should be included within the protection scope of the invention. Furthermore, the appended claims are intended to cover all variations and modifications falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.

[0047] The present invention has been described above with reference to embodiments thereof. However, these embodiments are merely illustrative and not intended to limit the scope of the invention. The scope of the invention is defined by the appended claims and their equivalents. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of the invention, and all such substitutions and modifications should fall within the scope of the invention.

[0048] Although embodiments of the present invention have been described in detail, it should be understood that various changes, substitutions, and modifications can be made to the embodiments of the present invention without departing from the spirit and scope of the invention.

[0049] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for coordinated response control of multiple power sources in an isolated network, characterized in that, include: Based on the operating status and interaction relationship of power generation units, load units and energy storage units, a virtual energy potential field model of isolated grid is constructed. The virtual energy potential field model of isolated grid includes several nodes. Based on the isolated network virtual energy potential field model and real-time operating status, the virtual potential energy value of each node is obtained; A potential energy gradient is formed based on the virtual potential energy values ​​of different nodes. The potential energy gradient is the driving force for energy flow and is used to indicate the direction and priority of energy flow between different nodes. Time-slicing decouples the isolated network disturbance response process, forming a hierarchical control structure according to different time scales; When an isolated network experiences a disturbance or failure, the target node and its corresponding first potential gradient are determined based on the isolated network virtual energy potential field model. Based on the first potential energy gradient and hierarchical control structure, different power generation units and energy storage units are driven to coordinate control within their respective time scales, so as to ensure the stable operation of the isolated grid.

2. The islanded multi-source cooperative response control method according to claim 1, characterized in that, The nodes include high-potential nodes, low-potential nodes, and variable-potential nodes. The power generation unit is a high-potential node, the load unit is a low-potential node, and the energy storage unit is a variable-potential node.

3. The islanded multi-source cooperative response control method according to claim 2, characterized in that, The construction of a virtual energy potential field model for an isolated grid, based on the operating status and interaction relationships of power generation units, load units, and energy storage units, includes: The real-time operating parameters of each power generation unit, load unit, and energy storage unit are obtained. The operating parameters include at least one of voltage amplitude, frequency, power output value, and power demand value. Obtain the network topology connections between the power generation unit, load unit, and energy storage unit; Based on the operating parameters and network topology connections, a virtual energy potential field model for the isolated network is formed.

4. The islanded multi-source cooperative response control method according to claim 3, characterized in that, The process of obtaining the virtual potential energy value of each node based on the isolated network virtual energy potential field model and real-time operating status includes: Obtain the real-time power output, reference power requirement, and node voltage amplitude of each node; Calculate the power deviation and voltage deviation at each node; The power deviation and voltage deviation of the node are combined according to a preset weight to form the instantaneous energy state index of the node. Based on the instantaneous energy state index of the node and its electrical coupling relationship with neighboring nodes, the virtual potential energy value of each node is calculated. The virtual potential energy value increases with the increase of node power surplus and decreases with the decrease of power deficiency.

5. The islanded multi-source cooperative response control method according to claim 4, characterized in that, Based on the instantaneous energy state indices of the nodes and their electrical coupling with neighboring nodes, the virtual potential energy value of each node is calculated, including: Based on the network topology, line parameters are obtained, including the line impedance between nodes. Calculate the electrical coupling strength between a node and its neighboring nodes based on the network topology and line parameters. The instantaneous energy state index of a node is combined with its electrical coupling strength with neighboring nodes, and weighted according to preset rules to obtain the virtual potential energy value of each node.

6. The islanded multi-source cooperative response control method according to claim 5, characterized in that, The process of forming a potential energy gradient based on the virtual potential energy values ​​of different nodes includes: Obtain the virtual potential energy value of each node and its neighboring node information in the network; Calculate the virtual potential energy difference between adjacent nodes, where the virtual potential energy difference is the initial potential energy gradient between nodes; Based on the network topology and the electrical coupling strength between nodes, the initial potential gradient is weighted to form a potential gradient.

7. The islanded multi-source cooperative response control method according to claim 6, characterized in that, The time slicing includes dividing the isolated network disturbance response process into microsecond-level slices, millisecond-level slices, and second-level slices. The layered control structure includes a support layer, a stabilizing layer, and a balancing layer; The time-slicing decoupling of the isolated network disturbance response process, forming a hierarchical control structure according to different time scales, includes: The microsecond-level slice corresponds to the support layer, which includes a supercapacitor and flywheel energy storage in the energy storage unit. The millisecond-level slice corresponds to a stabilization layer, which includes battery energy storage in the energy storage unit and new energy power generation in the power generation unit. The second-level slice corresponds to the balance layer, which includes diesel power generation and gas turbine power generation in the power generation unit.

8. The islanded multi-source cooperative response control method according to claim 7, characterized in that, When an isolated network experiences a disturbance or failure, determining the target node and its corresponding first potential gradient based on the isolated network virtual energy potential field model includes: The energy deviation of each node is calculated based on the difference between the virtual potential energy value and the preset reference potential energy value. Identify the node with the largest energy deviation as the target node; The virtual potential energy difference between the target node and its neighboring nodes is calculated to form the first potential energy gradient of the target node.

9. The islanded multi-source cooperative response control method according to claim 8, characterized in that, The method, based on the first potential energy gradient and hierarchical control structure, drives different power generation units and energy storage units to coordinate control within their respective time scales, enabling stable operation of the isolated grid, including: The first potential energy gradient is input into the hierarchical control structure. Based on the direction and magnitude of the potential energy gradient, the energy adjustment priority and adjustment value of each node are determined in each time slice. Adjustments are made according to the energy adjustment priority and adjustment value of each node to ensure the stable operation of the isolated network.

10. A multi-power source cooperative response control system for an isolated network, characterized in that, include: Construction module: Based on the operating status and interaction relationship of the power generation unit, load unit and energy storage unit, a virtual energy potential field model of the isolated grid is constructed. The virtual energy potential field model of the isolated grid includes several nodes. Acquisition Module: Based on the isolated network virtual energy potential field model and real-time operating status, obtain the virtual potential energy value of each node; Formation module: Forms potential energy gradients based on the virtual potential energy values ​​of different nodes. The potential energy gradients are the driving force for energy flow and are used to indicate the direction and priority of energy flow between different nodes. Decoupling module: Decouples the isolated network disturbance response process by time slicing, forming a hierarchical control structure according to different time scales; Determination module: When an isolated network experiences a disturbance or failure, the target node and its corresponding first potential gradient are determined based on the isolated network virtual energy potential field model. Control module: Based on the first potential energy gradient and hierarchical control structure, it drives different power generation units and energy storage units to coordinate control within their respective time scales, so as to ensure the stable operation of the isolated grid.

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