Emergency generator set starting control method and system based on energy dispatching optimization

Abstract

The invention relates to the technical field of power distribution network control, in particular to an emergency generator set starting control method and system based on energy dispatching optimization, and the method comprises the steps: carrying out the voltage distribution calculation of a to-be-controlled power distribution network based on a historical operation period set, and obtaining a plurality of load node voltage amplitude sets, selecting a plurality of emergency risk nodes according to the plurality of load node voltage amplitude sets, calculating the number of emergency generators according to the current power distribution network vacancy power and the emergency rated generation power, and setting an emergency generator starting position set according to the number of emergency generators and the plurality of emergency risk nodes, according to the method, the accuracy and the response efficiency of emergency power generation of the power distribution network can be improved, and the voltage instability risk of the power distribution network is reduced.

Description

Technical Field

[0001] This invention relates to the field of power distribution network control technology, and in particular to an emergency generator set start-up control method and system based on energy dispatch optimization. Background Technology

[0002] In modern power systems, distribution networks are prone to voltage dips when facing extreme load scenarios (such as large-scale population movement or extreme weather), which directly affect the stability of the power grid and the reliability of power supply. Emergency generator sets are key emergency resources, and optimizing their start-up control methods is crucial for quickly compensating for power deficits and improving node voltage levels. By scientifically scheduling emergency generators, low voltage problems in distribution networks can be effectively prevented, ensuring the safe and stable supply of electricity.

[0003] Traditional emergency generator start-up control methods typically rely on manual experience or simple rules to set the start-up position, lacking systematic optimization. This method has the following drawbacks: because it does not consider the historical operating data of the distribution network and the voltage distribution characteristics of multiple scenarios, the deployment of emergency generators is often blind or unbalanced, resulting in insufficient voltage support at some nodes, large voltage deviation across the entire network, inefficient use of emergency resources, and may even exacerbate the risk of local voltage drops. Summary of the Invention

[0004] This invention provides an emergency generator set start-up control method based on energy dispatch optimization and a computer-readable storage medium. Its main purpose is to improve the accuracy and response efficiency of emergency power generation in the distribution network and reduce the risk of voltage instability in the distribution network.

[0005] To achieve the above objectives, the present invention provides an emergency generator set start-up control method based on energy dispatch optimization, comprising: Identify the distribution network to be controlled, which includes multiple nodes to be controlled; A set of historical operating periods is set up. Based on the set of historical operating periods, the voltage distribution of multiple nodes to be controlled in the distribution network to be controlled is calculated to obtain a set of voltage amplitude values ​​of multiple load nodes. The set of voltage amplitude values ​​of load nodes corresponds one-to-one with the historical operating periods in the set of historical operating periods. Select multiple emergency risk nodes in the distribution network to be controlled based on the voltage amplitude sets of multiple load nodes; Receive emergency power generation instructions, determine the current power deficit in the distribution network based on the emergency power generation instructions, and calculate the number of emergency generators based on the current power deficit in the distribution network and the preset emergency rated power generation. Set up the emergency generator start-up location set according to the number of emergency generators and multiple emergency risk nodes; Construct a generator start-up loss function, and use the generator start-up loss function to optimize the emergency generator start-up location set to obtain the target generator start-up location set; The emergency generator set startup control is completed based on the target generator startup location set and energy dispatch optimization.

[0006] Optionally, the voltage distribution calculation based on the historical operating period set for multiple nodes in the distribution network to be controlled, to obtain multiple load node voltage amplitude sets, includes: For each historical operating period within the historical operating period set, perform the following operations: Based on historical operating periods, the operating data of multiple nodes to be controlled is queried to obtain the historical node operating dataset. The historical node operating dataset includes the operating data of multiple historical nodes, and each historical node operating data corresponds to a node to be controlled. The historical node operating data includes: historical active power sequence and historical reactive power sequence. Construct an emergency power distribution network environment based on historical node operation datasets and historical operation periods; Based on the emergency power distribution network environment, voltage distribution analysis is performed on multiple nodes to be controlled to obtain a set of load node voltage amplitudes. The set of load node voltage amplitudes includes multiple load node voltage amplitudes, and the load node voltage amplitudes correspond one-to-one with the nodes to be controlled. By summarizing the load node voltage amplitude sets corresponding to each historical operating period, multiple load node voltage amplitude sets are obtained.

[0007] Optionally, the step of constructing the emergency distribution network environment based on historical node operation datasets and historical operation periods includes: Obtain the total load power sequence of the distribution network to be controlled during the historical operation period. The total load power sequence includes multiple total load powers, and each total load power corresponds to a load time. Identify the maximum load power in the total load power sequence and identify the load peak time corresponding to the maximum load power; The load operation dataset is determined from the historical node operation dataset based on the peak load time. The load operation data in the load operation dataset corresponds one-to-one with the historical node operation data in the historical node operation dataset. Construct an emergency power distribution network environment based on load operation datasets.

[0008] Optionally, the step of performing voltage distribution analysis on multiple nodes to be controlled based on the emergency distribution network environment to obtain a set of load node voltage amplitudes includes: Based on the distribution network information collected during the historical operation period, a node admittance matrix is ​​constructed. Select a balancing node from among multiple nodes to be controlled, initialize the balancing node, and obtain the reference voltage amplitude and reference voltage phase angle; Based on the emergency power distribution network environment, determine the active power and reactive power of multiple loads at multiple nodes to be controlled, wherein the active power, reactive power and nodes to be controlled correspond one-to-one. The node voltage is calculated iteratively based on the node admittance matrix, reference voltage amplitude, reference voltage phase angle, active power of multiple loads, and reactive power of multiple loads to obtain the set of load node voltage amplitudes.

[0009] Optionally, the step of selecting multiple emergency risk nodes in the distribution network to be controlled based on multiple load node voltage amplitude sets includes: The emergency voltage threshold is obtained by calculating the threshold based on the voltage amplitude sets of multiple load nodes; The following operations are performed on each node to be controlled in the distribution network to be controlled: Identify the voltage amplitude of multiple target nodes corresponding to the node to be controlled within a set of voltage amplitude values ​​from multiple load nodes; Calculate the emergency risk value of a node based on the voltage amplitude of multiple target nodes and the emergency voltage threshold. By summing the emergency risk values ​​of each node to be controlled, multiple emergency risk values ​​for each node are obtained. Based on the emergency risk values ​​of multiple nodes and the preset risk thresholds, multiple emergency risk nodes are identified among multiple nodes to be controlled.

[0010] Optionally, constructing the generator start-up loss function includes: Obtain the candidate start-up node set corresponding to the emergency generator start-up location set. The emergency generator start-up location set includes multiple generator start-up locations, each generator start-up location corresponds to an emergency risk node, and the number of generator start-up locations is the same as the number of emergency generators. A set of simulated distribution network environments is constructed based on the set of historical operating periods. The set of simulated distribution network environments includes multiple simulated distribution network environments, and the simulated distribution network environments correspond to the emergency distribution network environments. The simulated power distribution network environment is extracted sequentially from the simulated power distribution network environment set; Based on the extracted simulated distribution network environment and emergency generator set, generator startup simulation is performed on the candidate startup node set to obtain the simulated access distribution network, which includes multiple simulated distribution network nodes. Based on the simulated access distribution network, the operating voltage of multiple simulated distribution network nodes is simulated to obtain the set of simulated node voltage amplitudes; By summing up the voltage amplitude sets of the simulated nodes corresponding to each simulated distribution network environment, multiple voltage amplitude sets of simulated nodes are obtained; A risk voltage deviation matrix is ​​constructed based on the voltage amplitude sets of multiple simulated nodes, and a generator start-up loss function is set based on the risk voltage deviation matrix.

[0011] Optionally, the construction of the simulated distribution network environment set based on the historical operating period set includes: Based on the emergency power generation command, the current operating period is determined, and the distribution network information of the distribution network to be controlled is read according to the current operating period to obtain the current distribution network information; Construct the current distribution network feature vector based on the current distribution network information; Obtain the historical distribution network feature vector for each historical operating period in the historical operating period set to obtain the historical distribution network feature vector set; The characteristic deviation is calculated by the current characteristic vector and the historical characteristic vector set of the distribution network to obtain the characteristic deviation value set of the distribution network. The characteristic deviation value set of the distribution network includes multiple characteristic deviation values ​​of the distribution network, and the characteristic deviation values ​​of the distribution network correspond one-to-one with the historical operating period. A set of simulated characteristic deviation values ​​is selected from the set of characteristic deviation values ​​in the distribution network based on a preset characteristic deviation threshold. Based on the set of simulated characteristic deviation values, the simulated operation period set is identified in the historical operation period to obtain the simulated distribution network environment set of the simulated operation period set.

[0012] Optionally, constructing the risk voltage deviation matrix based on multiple simulated node voltage amplitude sets includes: Perform the following operation on each of the multiple simulated distribution network nodes: Based on the simulation of distribution network nodes, the voltage amplitude set of the current node is identified in the voltage amplitude set of multiple simulation nodes. The voltage amplitude set of the current node includes multiple voltage amplitudes of the current node, and the voltage amplitude of the current node corresponds one-to-one with the simulation distribution network environment. Obtain the rated node voltage amplitude of the simulated distribution network node, and calculate the current voltage deviation value set based on the rated node voltage amplitude and the current node voltage amplitude set. Among them, the risk voltage deviation in the current voltage deviation value set corresponds one-to-one with the current node voltage amplitude. By summing up the current voltage deviation value set corresponding to each simulated risk node, multiple current voltage deviation value sets are obtained; A risk voltage deviation matrix is ​​constructed based on multiple sets of current voltage deviation values. The risk voltage deviation matrix includes multiple current voltage deviation values, and each current voltage deviation value is located in a different position in the matrix.

[0013] Optionally, setting the generator starting loss function based on the risk voltage deviation matrix includes: The generator starting loss function is set using the following formula: in, This represents the generator starting loss function. This represents the preset minimization function. This indicates the number of rows in the risk voltage deviation matrix or the number of historical operating periods in the historical operating period set. This indicates the number of columns in the risk voltage deviation matrix or the number of emergency risk nodes among multiple emergency risk nodes. Represents the risk voltage deviation matrix of the first... Line and number The current voltage deviation value at the column position.

[0014] To achieve the above objectives, the present invention also provides an emergency generator set start-up control system based on energy dispatch optimization, comprising: The voltage distribution calculation module is used to determine the distribution network to be controlled, which includes multiple nodes to be controlled. A set of historical operating periods is set, and the voltage distribution of multiple nodes to be controlled in the distribution network to be controlled is calculated based on the set of historical operating periods to obtain a set of voltage amplitude values ​​of multiple load nodes. The set of voltage amplitude values ​​of load nodes corresponds one-to-one with the historical operating periods in the set of historical operating periods. The emergency node selection module is used to select multiple emergency risk nodes in the distribution network to be controlled based on the voltage amplitude sets of multiple load nodes. The start-up location construction module is used to receive emergency power generation instructions, determine the current power deficit in the distribution network based on the emergency power generation instructions, calculate the number of emergency generators based on the current power deficit in the distribution network and the preset emergency rated power generation, and set the emergency generator start-up location set based on the number of emergency generators and multiple emergency risk nodes. The generator starting module is used to construct a generator starting loss function, and then use the generator starting loss function to optimize the emergency generator starting position set to obtain the target generator starting position set.

[0015] To address the above problems, the present invention also provides an electronic device, the electronic device comprising: Memory, storing at least one instruction; The processor executes the instructions stored in the memory to implement the emergency generator set start-up control method based on energy dispatch optimization described above.

[0016] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described emergency generator set start-up control method based on energy dispatch optimization.

[0017] To address the problems described in the background, this invention first calculates the voltage distribution of multiple nodes in the distribution network to be controlled based on a historical operating period set, obtaining multiple load node voltage amplitude sets. This step, using a historical operating period set for voltage distribution calculation, comprehensively analyzes the operating status of the distribution network at different time periods. Compared to existing technologies that rely solely on real-time data, this method more comprehensively identifies voltage fluctuation patterns, providing a dynamic basis for risk assessment. Next, based on the multiple load node voltage amplitude sets, multiple emergency risk nodes are selected in the distribution network to be controlled. This step identifies nodes with long-term voltage instability or prone to failure. Compared to the static threshold judgment of existing technologies, this method improves the accuracy and foresight of risk node identification. Furthermore, this scheme calculates the number of emergency generators based on the current power deficit of the distribution network and the preset emergency rated generating power. This step, through accurate calculation of the power deficit and rated power... Dynamically determining the number of generators ensures a match between power generation resources and demand. Compared to the empirical allocation of existing technologies, this method improves the accuracy and efficiency of emergency response. Then, based on the number of emergency generators and multiple emergency risk nodes, a set of emergency generator start-up locations is set. This step, combining the number of generators and the distribution of risk nodes, makes the deployment closer to the actual risk points. Compared to the fixed-location deployment of existing technologies, this method optimizes the power generation coverage and reduces response delays. Finally, this scheme constructs a generator start-up loss function and uses it to optimize the set of emergency generator start-up locations, obtaining the target generator start-up location set. This step, through optimizing the location set using the loss function, achieves scientific decision-making and minimizes start-up losses, such as reducing energy waste or time delays. Compared to the manual arrangement of existing technologies, this method improves the intelligence level and optimization effect of scheduling. Therefore, this invention can improve the accuracy and response efficiency of emergency power generation in the distribution network and reduce the risk of voltage instability in the distribution network. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating an emergency generator set start-up control method based on energy dispatch optimization, provided in an embodiment of the present invention. Figure 2 A functional block diagram of an emergency generator set start-up control system based on energy dispatch optimization provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device for implementing the emergency generator set start-up control method based on energy dispatch optimization, according to an embodiment of the present invention.

[0019] Explanation of reference numerals in the attached figures: 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0020] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0022] This application provides an emergency generator set startup control method based on energy dispatch optimization. The executing entity of this energy dispatch optimization-based emergency generator set startup control method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application embodiment: a server, a terminal, etc. In other words, the energy dispatch optimization-based emergency generator set startup control method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0023] Reference Figure 1 The diagram shown is a flowchart illustrating an emergency generator set start-up control method based on energy dispatch optimization according to an embodiment of the present invention. In this embodiment, the emergency generator set start-up control method based on energy dispatch optimization includes: S1. Determine the distribution network to be controlled, wherein the distribution network to be controlled includes multiple nodes to be controlled.

[0024] It is clear that the distribution network to be controlled refers to a specific distribution network area facing the risk of high load operation. This distribution network to be controlled includes multiple nodes to be controlled, where each node refers to an electrical node in the distribution network to be controlled, such as load nodes and power supply nodes. When the distribution network to be controlled faces the risk of voltage drop under extreme load scenarios (such as large-scale personnel movement or extreme weather), it is necessary to select multiple nodes (such as subsequent emergency risk nodes) from the multiple nodes to be controlled and connect emergency generators to these selected nodes. This allows for direct compensation of the line power deficit of the distribution network to be controlled through active power injection, thereby improving the voltage level of the selected nodes, alleviating the low voltage problem of these selected nodes, and ensuring the safe and stable operation of the distribution network.

[0025] S2. Set a set of historical operating periods. Based on the set of historical operating periods, calculate the voltage distribution of multiple nodes to be controlled in the distribution network to be controlled, and obtain a set of voltage amplitude values ​​of multiple load nodes. The set of voltage amplitude values ​​of load nodes corresponds one-to-one with the historical operating periods in the set of historical operating periods.

[0026] Understandably, the historical operating period set refers to a collection of multiple historical operating periods, where a historical operating period refers to a specific operating period of the distribution network to be controlled, which is selected manually. The load node voltage amplitude set refers to the set of load node voltage amplitudes of all nodes to be controlled in the distribution network to be controlled during a specific historical operating period.

[0027] In detail, the voltage distribution calculation based on the historical operating period set for multiple nodes in the distribution network to be controlled is performed to obtain multiple load node voltage amplitude sets, including: For each historical operating period within the historical operating period set, perform the following operations: Based on historical operating periods, the operating data of multiple nodes to be controlled is queried to obtain the historical node operating dataset. The historical node operating dataset includes the operating data of multiple historical nodes, and each historical node operating data corresponds to a node to be controlled. The historical node operating data includes: historical active power sequence and historical reactive power sequence. Construct an emergency power distribution network environment based on historical node operation datasets and historical operation periods; Based on the emergency power distribution network environment, voltage distribution analysis is performed on multiple nodes to be controlled to obtain a set of load node voltage amplitudes. The set of load node voltage amplitudes includes multiple load node voltage amplitudes, and the load node voltage amplitudes correspond one-to-one with the nodes to be controlled. By summarizing the load node voltage amplitude sets corresponding to each historical operating period, multiple load node voltage amplitude sets are obtained.

[0028] It is clear that the historical node operation dataset refers to a collection of operation data from multiple historical nodes. This historical node operation data refers to the set of historical active and reactive power of a specific node under control during a historical operation period. The historical active power sequence refers to the set of actual power absorbed or injected by the node under control from the distribution network under control at various moments during the historical operation period, measured in kilowatts (kW). Historical active power reflects the actual energy consumed or provided by the node under control at a specific moment during that historical operation period. The historical reactive power sequence refers to the set of power exchanged between the node under control and the distribution network under control at various moments during the historical operation period for establishing the electromagnetic field, measured in kilovars (kvar). Historical reactive power reflects the voltage support requirements of the node under control for the distribution network under control at a specific moment during the historical operation period. The aforementioned query of operation data for the distribution network under control based on historical operation periods refers to the process of retrieving and extracting the active and reactive power data of all nodes under control during that historical operation period from the data acquisition and monitoring control system (such as SCADA) or historical database systems of the distribution network under control. The emergency distribution network environment refers to a computational model used to simulate and analyze the electrical characteristics of the distribution network under control during historical operating periods. This model is constructed based on the load operation dataset (i.e., active and reactive power) of all nodes under control at peak load times during this historical operating period. It represents an extreme operating scenario where the distribution network under control may face voltage dip risks. The specific construction method will be explained later. The steps for voltage distribution analysis of the emergency distribution network environment based on the above-mentioned emergency distribution network environment will be explained later.

[0029] In detail, the construction of the emergency distribution network environment based on historical node operation datasets and historical operation periods includes: Obtain the total load power sequence of the distribution network to be controlled during the historical operation period. The total load power sequence includes multiple total load powers, and each total load power corresponds to a load time. Identify the maximum load power in the total load power sequence and identify the load peak time corresponding to the maximum load power; The load operation dataset is determined from the historical node operation dataset based on the peak load time. The load operation data in the load operation dataset corresponds one-to-one with the historical node operation data in the historical node operation dataset. Construct an emergency power distribution network environment based on load operation datasets.

[0030] It is clear that the total load power sequence refers to the power value sequence representing the total power load of the distribution network under control, arranged chronologically during its historical operation. The total load power refers to the sum of the active power of all controlled nodes in the distribution network under control at a certain load moment, reflecting the total power demand of the distribution network under control at that load moment. The maximum load power refers to the total load power with the largest value in the total load power sequence. The load peak moment refers to the load moment corresponding to the maximum load power. At this load peak moment, the line current and power transmission of the entire distribution network under control reach their extreme values, and the voltage level of each controlled node is at its lowest. At this time, the voltage drop risk of the distribution network under control is greatest. Therefore, the load operation dataset corresponding to this load peak moment is selected to construct the emergency distribution network environment. The load operation dataset refers to the collection of historical node operation data of all controlled nodes in the distribution network under control at the load peak moment. The detailed steps for constructing an emergency distribution network environment based on the load operation dataset are as follows: using the load operation dataset obtained at the peak load time as the power injection condition for each node to be controlled, and combining the inherent topology of the distribution network to be controlled, line resistance and reactance parameters, transformer ratio and impedance and other network information, a complete power grid model that can be used for power flow calculation is formed. This power grid model accurately reproduces the operating state of the distribution network at the historical highest load time, providing a realistic simulation environment for subsequent voltage distribution analysis.

[0031] In detail, the voltage distribution analysis of multiple nodes to be controlled based on the emergency distribution network environment, to obtain the voltage amplitude set of the load nodes, includes: Based on the distribution network information collected during the historical operation period, a node admittance matrix is ​​constructed. Select a balancing node from among multiple nodes to be controlled, initialize the balancing node, and obtain the reference voltage amplitude and reference voltage phase angle; Based on the emergency power distribution network environment, determine the active power and reactive power of multiple loads at multiple nodes to be controlled, wherein the active power, reactive power and nodes to be controlled correspond one-to-one. The node voltage is calculated iteratively based on the node admittance matrix, reference voltage amplitude, reference voltage phase angle, active power of multiple loads, and reactive power of multiple loads to obtain the set of load node voltage amplitudes.

[0032] It is clear that the aforementioned distribution network information refers to the basic data set of the physical structure and electrical parameters of the distribution network to be controlled. This distribution network information includes: the resistance and reactance of the lines in the distribution network to be controlled, the turns ratio and impedance of all transformers in the distribution network to be controlled, the standard voltage level of each node to be controlled, and the network topology connection relationship, etc. The node admittance matrix refers to the mathematical matrix describing the electrical connection relationship between each node to be controlled in the distribution network to be controlled. This node admittance matrix is ​​used to establish the linear relationship between the injected current and the voltage of the node to be controlled, and is the core foundation for power flow calculation. The above-mentioned construction of the node admittance matrix based on the distribution network information refers to: calculating the self-admittance of each node to be controlled and the mutual admittance between two nodes to be controlled according to the distribution network information and Kirchhoff's laws, and assembling these self-admittances and mutual admittances into a complete node admittance matrix. The above-mentioned calculation method of self-admittance and mutual admittance is existing technology and will not be elaborated here. The balancing node refers to the node to be controlled that is responsible for balancing active and reactive power in power flow calculation, and whose voltage amplitude and voltage phase angle are fixed to known values. Selecting a balancing node from multiple nodes to be controlled means: according to the actual operating structure of the distribution network to be controlled, designating a node with stable voltage and sufficient capacity (such as the 10kV bus of a high-voltage substation) as the balancing node.

[0033] It should be explained that the reference voltage amplitude and reference voltage phase angle refer to fixed values ​​set for the slack node, serving as the voltage calculation benchmark in subsequent node voltage iteration calculations. For example, the reference voltage amplitude is set to 1.0, and the reference voltage phase angle is set to 0 degrees. Initializing the slack node means assigning a fixed reference voltage amplitude and reference voltage phase angle to the slack node before the node voltage iteration calculation begins. The load node voltage amplitude set refers to the set of voltage amplitudes of each node to be controlled in the emergency distribution network environment, calculated through node voltage iteration. The load active power and load reactive power refer to the historical active power and historical reactive power in the load operation data corresponding to the node to be controlled, respectively, within the load operation data set corresponding to the emergency distribution network environment.

[0034] Furthermore, the node voltage iterative calculation based on the node admittance matrix, reference voltage amplitude, reference voltage phase angle, active power of multiple loads, and reactive power of multiple loads refers to: using a numerical iterative algorithm (such as the Newton-Raphson method or the forward-backward substitution method), taking the reference voltage amplitude and reference voltage phase angle of the slack node as a benchmark, and according to the power balance equation of each node to be controlled (which can be constructed from the active power and reactive power of the load of the node to be controlled), gradually correcting the voltage amplitude and voltage phase angle of all nodes to be controlled except the slack node, until the power deviation of all nodes to be controlled is less than the convergence accuracy. At this point, the set of voltage amplitudes corresponding to all nodes to be controlled is denoted as the load node voltage amplitude set.

[0035] S3. Select multiple emergency risk nodes in the distribution network to be controlled based on the voltage amplitude sets of multiple load nodes.

[0036] It is understood that the emergency risk node refers to a node to be controlled that has a low voltage amplitude or a high risk of exceeding limits in multiple historical operating periods. This emergency risk node is a structurally weak link in the distribution network to be controlled under heavy load conditions (such as during peak load times). Therefore, this emergency risk node may be the first to experience a voltage drop below the safety limit in various emergency distribution network environments. Thus, when it is necessary to start an emergency generator, it is necessary to prioritize connecting the emergency generator to these emergency risk nodes so that the active power injection of the emergency generator can directly and quickly compensate for the power deficit of the emergency risk node. The line resistance effect of the distribution network to be controlled can be used to effectively raise the voltage level of the emergency risk node and the adjacent nodes to be controlled, thereby eliminating the low voltage risk with the highest efficiency and ensuring the safe and stable operation of the distribution network.

[0037] Specifically, the selection of multiple emergency risk nodes in the distribution network to be controlled based on multiple load node voltage amplitude sets includes: The emergency voltage threshold is obtained by calculating the threshold based on the voltage amplitude sets of multiple load nodes; The following operations are performed on each node to be controlled in the distribution network to be controlled: Identify the voltage amplitude of multiple target nodes corresponding to the node to be controlled within a set of voltage amplitude values ​​from multiple load nodes; Calculate the emergency risk value of a node based on the voltage amplitude of multiple target nodes and the emergency voltage threshold. By summing the emergency risk values ​​of each node to be controlled, multiple emergency risk values ​​for each node are obtained. Based on the emergency risk values ​​of multiple nodes and the preset risk thresholds, multiple emergency risk nodes are identified among multiple nodes to be controlled.

[0038] It should be explained that the emergency voltage threshold refers to a critical voltage value used to determine whether the voltage amplitude of a load node is in a risky state. When the voltage amplitude of a load node is lower than the emergency voltage threshold, it indicates that the node to be controlled corresponding to that load node voltage amplitude has a significant risk of voltage drop at a specific time (i.e., the peak load time corresponding to the load node voltage amplitude). The above-mentioned emergency voltage threshold can be calculated by: calculating the average value and standard deviation of the voltage amplitudes of all load nodes in a set of multiple load node voltage amplitudes, and subtracting one or more standard deviations from the average value to obtain the emergency voltage threshold. The target node voltage amplitude refers to the voltage amplitude of the load node corresponding to the node to be controlled in the set of multiple load node voltage amplitudes. The node emergency risk value refers to a numerical value that quantifies the degree of risk of voltage drop at the node to be controlled.

[0039] Furthermore, the calculation method for the above-mentioned node emergency risk value is as follows: Count the number of target node voltage amplitudes below the emergency voltage threshold among multiple target node voltage amplitudes (referred to as the high-risk number); count the total number of target node voltage amplitudes among multiple target node voltage amplitudes; calculate the total voltage drop between the multiple target node voltage amplitudes and the emergency voltage threshold. This total voltage drop represents the degree of voltage drop at the controlled node at each load peak moment, and its calculation method is as follows: ,in, This represents the total voltage drop. Indicates the total quantity. Indicates the emergency voltage threshold. Represents the first of multiple target node voltage magnitudes For each target node voltage amplitude, the total voltage drop value corresponding to all nodes to be controlled is calculated, and the maximum value among these total voltage drop values ​​(denoted as the maximum total voltage drop value) is identified. Then, the node emergency risk value is expressed as: ,in, Indicates the emergency risk value of the node. Indicates the number of high-risk items. This represents the maximum total voltage drop value. The risk threshold is a manually set constant. When the emergency risk value of a node exceeds this risk threshold, it indicates that the corresponding emergency risk node has a higher probability of experiencing a voltage drop risk.

[0040] S4. Receive emergency power generation instructions, determine the current power deficit in the distribution network based on the emergency power generation instructions, and calculate the number of emergency generators based on the current power deficit in the distribution network and the preset emergency rated power generation.

[0041] It is clear that the emergency power generation command refers to a human-initiated command to perform emergency power generation on the distribution network to be controlled. The current distribution network deficit power refers to the power that the distribution network to be controlled needs to supplement. This current distribution network deficit power can be obtained by querying historical data of the distribution network to be controlled. For example, if the historical average output power of the distribution network to be controlled during a certain period is A, and the average power of the grid load during that period is B, then the current distribution network deficit power of the distribution network to be controlled during that period is (BA). If BA is greater than 0, it indicates that emergency power generation is needed during that period, i.e., an emergency power generation command is issued by relevant personnel. The emergency rated power generation capacity refers to the rated power generation capacity of the emergency generator. An emergency generator refers to a mobile or backup power generation device that can be quickly deployed to the site to provide emergency active power support when the power supply to the distribution network to be controlled is insufficient, such as a diesel generator truck or a gas turbine generator truck. The number of emergency generators refers to the number of emergency generators required for this emergency power generation, and its calculation method is as follows: ,in, Indicates the number of emergency generators. Indicates rounding up. This indicates the current power deficit in the distribution network. This indicates the rated emergency power generation capacity.

[0042] S5. Set the emergency generator start-up location set according to the number of emergency generators and multiple emergency risk nodes.

[0043] It should be explained that the set of emergency generator locations refers to the set of independent variables for determining the starting positions of multiple emergency generators. The starting position of an emergency generator refers to the location corresponding to an emergency risk node where an emergency generator may be connected. This set of emergency generator starting positions needs to be optimized to select the optimal target generator starting position set. For example, if multiple emergency risk nodes are F1, F2, F3, F4, and F5, and the number of emergency generators is 3, then a set of emergency generator starting positions could be [F1, F2, F3], [F2, F3, F4], etc. Here, [F1, F2, F3] indicates that an emergency generator is connected at all three emergency risk nodes F1, F2, and F3, and [F2, F3, F4] indicates that an emergency generator is connected at all three emergency risk nodes F2, F3, and F4.

[0044] S6. Construct a generator start-up loss function, and use the generator start-up loss function to optimize the emergency generator start-up location set to obtain the target generator start-up location set.

[0045] Understandably, the generator start-up loss function refers to a mathematical function used to quantify the total voltage deviation (such as the current voltage deviation value) of the distribution network to be controlled in all simulated distribution network environments under a specific set of emergency generator start-up locations. Since different sets of emergency generator start-up locations will lead to differences in the power flow distribution and voltage boost effect after the emergency generator is connected to the distribution network to be controlled, thus affecting the voltage stability of all nodes to be controlled in the distribution network to be controlled, the above-mentioned generator start-up loss function is introduced to quantify the voltage stability here.

[0046] Furthermore, the target generator starting location set refers to the optimized set of generator starting locations that minimizes the generator starting loss function value. Optimizing the emergency generator starting location set using the generator starting loss function to obtain the target generator starting location set involves: using heuristic optimization algorithms (such as genetic algorithms or particle swarm optimization algorithms) or mathematical programming methods, under the premise of satisfying the constraint on the number of emergency generators, systematically generating or iteratively modifying the emergency generator starting location set. For each generated candidate location set, a power flow calculation program is invoked to perform simulation based on the constructed simulated distribution network environment set, and the corresponding generator starting loss function value is calculated based on the simulation results. The goal of the aforementioned heuristic optimization algorithm is to search and determine the emergency generator starting location set that minimizes the generator starting loss function value among all possible emergency generator starting location sets. This emergency generator starting location set is the target generator starting location set. For example, when using a genetic algorithm, the emergency generator starting location set is encoded as a chromosome. Through selection, crossover, mutation, and other operations, the population continuously evolves until it converges to the individual with the highest fitness (i.e., the smallest generator starting loss function value). This individual, after decoding, is the target generator starting location set.

[0047] Specifically, the construction of the generator starting loss function includes: Obtain the candidate start-up node set corresponding to the emergency generator start-up location set. The emergency generator start-up location set includes multiple generator start-up locations, each generator start-up location corresponds to an emergency risk node, and the number of generator start-up locations is the same as the number of emergency generators. A set of simulated distribution network environments is constructed based on the set of historical operating periods. The set of simulated distribution network environments includes multiple simulated distribution network environments, and the simulated distribution network environments correspond to the emergency distribution network environments. The simulated power distribution network environment is extracted sequentially from the simulated power distribution network environment set; Based on the extracted simulated distribution network environment and emergency generator set, generator startup simulation is performed on the candidate startup node set to obtain the simulated access distribution network, which includes multiple simulated distribution network nodes. Based on the simulated access distribution network, the operating voltage of multiple simulated distribution network nodes is simulated to obtain the set of simulated node voltage amplitudes; By summing up the voltage amplitude sets of the simulated nodes corresponding to each simulated distribution network environment, multiple voltage amplitude sets of simulated nodes are obtained; A risk voltage deviation matrix is ​​constructed based on the voltage amplitude sets of multiple simulated nodes, and a generator start-up loss function is set based on the risk voltage deviation matrix.

[0048] Understandably, the candidate start-up node set refers to a collection of multiple candidate start-up nodes, where a candidate start-up node refers to an emergency risk node corresponding to the start-up location of a certain emergency generator. The simulated distribution network environment set refers to a collection of multiple simulated distribution network environments, where a simulated distribution network environment refers to an emergency distribution network environment corresponding to a certain historical operating period that has similar line characteristics (such as the subsequent current distribution network feature vector) to the current distribution network to be controlled. The simulated distribution network access refers to a new power grid model obtained after generator startup simulation, which includes emergency generators connected at the candidate startup node set. The simulated distribution network access involves performing generator startup simulation on the candidate startup node set based on the extracted simulated distribution network environment and the emergency generator set. Specifically, it involves modifying the node type of each candidate startup node in the candidate startup node set from a pure load node (i.e., PQ node) to a generator node with controllable voltage (i.e., PV node), injecting active power equal to the rated power of the emergency generator, setting a reasonable voltage reference value (e.g., 1.02 pu), and then recalculating the power flow to obtain a power grid model simulating the new operating state after the emergency generator connection. The voltage amplitude of each simulated distribution network node in this new power grid model is the simulated node voltage amplitude set. For example, by using power system analysis toolkits (such as Simscape Electrical and OpenDSS in MATLAB / Simulink), by modifying the parameters and types of the corresponding candidate start nodes in the network data file and calling their power flow calculation engine, the steady-state operation results of the simulated distribution network can be obtained (i.e., the set of simulated node voltage amplitudes).

[0049] Furthermore, the simulated distribution network node refers to the node to be controlled in the simulated distribution network. The simulated node voltage amplitude set refers to the set of voltage amplitudes corresponding to all simulated distribution network nodes in the simulated distribution network, used to represent the voltage amplitude of each node to be controlled in the distribution network after the emergency generator is connected at the candidate start-up node set. The risk voltage deviation matrix refers to a matrix composed of multiple simulated node voltage amplitude sets; the specific construction method will be given later.

[0050] In detail, the construction of the simulated distribution network environment set based on the historical operating period set includes: Based on the emergency power generation command, the current operating period is determined, and the distribution network information of the distribution network to be controlled is read according to the current operating period to obtain the current distribution network information; Construct the current distribution network feature vector based on the current distribution network information; Obtain the historical distribution network feature vector for each historical operating period in the historical operating period set to obtain the historical distribution network feature vector set; The characteristic deviation is calculated by the current characteristic vector and the historical characteristic vector set of the distribution network to obtain the characteristic deviation value set of the distribution network. The characteristic deviation value set of the distribution network includes multiple characteristic deviation values ​​of the distribution network, and the characteristic deviation values ​​of the distribution network correspond one-to-one with the historical operating period. A set of simulated characteristic deviation values ​​is selected from the set of characteristic deviation values ​​in the distribution network based on a preset characteristic deviation threshold. Based on the set of simulated characteristic deviation values, the simulated operation period set is identified in the historical operation period to obtain the simulated distribution network environment set of the simulated operation period set.

[0051] It should be explained that the current operating period refers to the period when the emergency power generation command is received. The current distribution network information refers to the feature set of the distribution network to be controlled during the current operating period. This current distribution network information includes: network topology, line resistance and reactance parameters, transformer turns ratio and impedance, reference voltage level of each node to be controlled, and real-time active power and reactive power of each node. The current distribution network feature vector refers to a vector composed of various quantified values ​​in the current distribution network information. For example, if the current distribution network information is: the resistance of line L1 is 0.12 ohms, the reactance is 0.25 ohms, and the active power of load node A is 1.5 MW and the reactive power is 0.8 MW, then the corresponding current distribution network feature vector is: The historical distribution network feature vector set refers to a collection of multiple historical distribution network feature vectors. The historical distribution network feature vector refers to a vector composed of the current distribution network information of the distribution network to be controlled during a certain historical operating period. That is, the construction method of the historical distribution network feature vector is the same as the construction method of the current distribution network feature vector.

[0052] Furthermore, the distribution network characteristic deviation value set refers to a collection of multiple distribution network characteristic deviation values, wherein the distribution network characteristic deviation value refers to the numerical value of the degree of deviation between the current distribution network characteristic vector and a certain historical distribution network characteristic vector. Optionally, the distribution network characteristic deviation value can be calculated using the following formula: ,in, Indicates the characteristic deviation value of the distribution network. This represents the vector dimension of the current distribution network feature vector or the vector dimension of the historical distribution network feature vector. Represents the first element in the current distribution network feature vector. vector elements, Represents the first eigenvector in the historical distribution network. Vector elements.

[0053] It is clear that the characteristic deviation threshold is a manually set constant. When the characteristic deviation value of the distribution network (i.e., the simulated characteristic deviation value) is not greater than this characteristic deviation threshold, it indicates that the distribution network under control during the historical operating period corresponding to this characteristic deviation has similar operating status and network structure characteristics to the distribution network under control during the current operating period. This suggests that the emergency distribution network environment corresponding to this historical operating period can effectively simulate the operating scenarios that the current distribution network may face. The simulated characteristic deviation value set refers to the set of all distribution network characteristic deviation values ​​that are not greater than the characteristic deviation threshold. The simulated operating period set refers to the set of historical operating periods corresponding to each simulated characteristic deviation value in the simulated characteristic deviation value set. The simulated distribution network environment set refers to the set of various emergency distribution network environments under the simulated operating period set.

[0054] Specifically, the construction of the risk voltage deviation matrix based on multiple simulated node voltage amplitude sets includes: Perform the following operation on each of the multiple simulated distribution network nodes: Based on the simulation of distribution network nodes, the voltage amplitude set of the current node is identified in the voltage amplitude set of multiple simulation nodes. The voltage amplitude set of the current node includes multiple voltage amplitudes of the current node, and the voltage amplitude of the current node corresponds one-to-one with the simulation distribution network environment. Obtain the rated node voltage amplitude of the simulated distribution network node, and calculate the current voltage deviation value set based on the rated node voltage amplitude and the current node voltage amplitude set. Among them, the risk voltage deviation in the current voltage deviation value set corresponds one-to-one with the current node voltage amplitude. By summing up the current voltage deviation value set corresponding to each simulated risk node, multiple current voltage deviation value sets are obtained; A risk voltage deviation matrix is ​​constructed based on multiple sets of current voltage deviation values. The risk voltage deviation matrix includes multiple current voltage deviation values, and each current voltage deviation value is located in a different position in the matrix.

[0055] It should be explained that the current node voltage amplitude set refers to the set of voltage amplitudes of each simulated node corresponding to a simulated distribution network node. This current node voltage amplitude set represents the voltage amplitude of the simulated distribution network node under different simulated distribution network environments. The rated node voltage amplitude refers to the standard operating voltage or lower limit of the safe operating voltage of the simulated distribution network node, which can be specified by the power system operation regulations. For example, the rated voltage in a 10.5kV system can be set to 1.0 (per unit value), and the lower limit of safety can be set to 0.95 (per unit value). The current voltage deviation value set refers to the set of multiple current voltage deviations. The current voltage deviation value refers to the absolute difference between the rated node voltage amplitude and a certain current node voltage amplitude. This current voltage deviation value represents the degree to which the voltage of the simulated distribution network node deviates from the rated node voltage amplitude under the simulated distribution network environment. The larger the current voltage deviation value, the worse the voltage stability of the simulated distribution network node under the simulated distribution network environment.

[0056] Furthermore, constructing a risk voltage deviation matrix based on multiple current voltage deviation value sets refers to: using the current voltage deviation values ​​of the same simulated distribution network node under different simulated distribution network environments as rows, and using the current voltage deviation values ​​of different simulated distribution network nodes under the same simulated distribution network environment as columns, thereby forming a risk voltage deviation matrix. For example, if multiple current voltage deviation value sets are: the current voltage deviation values ​​of simulated distribution network node A1 under simulated distribution network environments B1 and B2 are [0.08, 0.05], the current voltage deviation values ​​of simulated distribution network node A2 under simulated distribution network environments B1 and B2 are [0.12, 0.09], and the current voltage deviation values ​​of simulated distribution network node A3 under simulated distribution network environments B1 and B2 are [0.03, 0.06]. Then the first row, second row, and third row of the risk voltage deviation matrix are [0.08, 0.05], [0.12, 0.09], and [0.03, 0.06], respectively.

[0057] Specifically, the setting of the generator starting loss function based on the risk voltage deviation matrix includes: The generator starting loss function is set using the following formula: in, This represents the generator starting loss function. This represents the preset minimization function. This indicates the number of rows in the risk voltage deviation matrix or the number of historical operating periods in the historical operating period set. This indicates the number of columns in the risk voltage deviation matrix or the number of emergency risk nodes among multiple emergency risk nodes. Represents the risk voltage deviation matrix of the first... Line and number The current voltage deviation value at the column position.

[0058] It should be explained that the generator start-up loss function mentioned above represents the total voltage deviation of all controlled nodes in the distribution network under a certain emergency generator start-up location scheme (i.e., in the generator start-up location set) and in all selected simulated distribution network environments. The smaller the generator start-up loss function, the better and more stable the support effect of the emergency generator start-up location scheme on the overall network voltage when dealing with various possible extreme operating scenarios (i.e., simulated distribution network environments). In other words, the better the comprehensive performance of the emergency generator start-up location scheme, the more effectively it can reduce the overall low voltage risk of the distribution network under control.

[0059] S7. Based on the target generator start-up location set, complete the emergency generator set start-up control based on energy dispatch optimization.

[0060] It needs to be explained that once the target generator start-up location set is identified, the emergency generator needs to be connected to the controllable node corresponding to each target generator start-up location. Then, each emergency generator will synchronously output the preset rated active power. The injection of this rated active power can quickly compensate for the local load deficit of the controllable distribution network (i.e., the current distribution network deficit power mentioned above).

[0061] To address the problems described in the background, this invention first calculates the voltage distribution of multiple nodes in the distribution network to be controlled based on a historical operating period set, obtaining multiple load node voltage amplitude sets. This step, using a historical operating period set for voltage distribution calculation, comprehensively analyzes the operating status of the distribution network at different time periods. Compared to existing technologies that rely solely on real-time data, this method more comprehensively identifies voltage fluctuation patterns, providing a dynamic basis for risk assessment. Next, based on the multiple load node voltage amplitude sets, multiple emergency risk nodes are selected in the distribution network to be controlled. This step identifies nodes with long-term voltage instability or prone to failure. Compared to the static threshold judgment of existing technologies, this method improves the accuracy and foresight of risk node identification. Furthermore, this scheme calculates the number of emergency generators based on the current power deficit of the distribution network and the preset emergency rated generating power. This step, through accurate calculation of the power deficit and rated power... Dynamically determining the number of generators ensures a match between power generation resources and demand. Compared to the empirical allocation of existing technologies, this method improves the accuracy and efficiency of emergency response. Then, based on the number of emergency generators and multiple emergency risk nodes, a set of emergency generator start-up locations is set. This step, combining the number of generators and the distribution of risk nodes, makes the deployment closer to the actual risk points. Compared to the fixed-location deployment of existing technologies, this method optimizes the power generation coverage and reduces response delays. Finally, this scheme constructs a generator start-up loss function and uses it to optimize the set of emergency generator start-up locations, obtaining the target generator start-up location set. This step, through optimizing the location set using the loss function, achieves scientific decision-making and minimizes start-up losses, such as reducing energy waste or time delays. Compared to the manual arrangement of existing technologies, this method improves the intelligence level and optimization effect of scheduling. Therefore, this invention can improve the accuracy and response efficiency of emergency power generation in the distribution network and reduce the risk of voltage instability in the distribution network.

[0062] like Figure 2 The diagram shown is a functional block diagram of an emergency generator set start-up control system based on energy dispatch optimization provided in an embodiment of the present invention.

[0063] The emergency generator set starting control system 100 based on energy dispatch optimization described in this invention can be installed in an electronic device. Depending on the functions implemented, the emergency generator set starting control system 100 based on energy dispatch optimization may include a voltage distribution calculation module 101, an emergency node selection module 102, a starting position construction module 103, and a generator starting module 104. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and which are stored in the memory of the electronic device. The voltage distribution calculation module 101 is used to determine the distribution network to be controlled, wherein the distribution network to be controlled includes multiple nodes to be controlled, a set of historical operating periods is set, and the voltage distribution is calculated based on the set of historical operating periods to obtain multiple load node voltage amplitude sets, wherein the load node voltage amplitude sets correspond one-to-one with the historical operating periods in the set of historical operating periods. The emergency node selection module 102 is used to select multiple emergency risk nodes in the distribution network to be controlled based on the voltage amplitude set of multiple load nodes. The start-up location construction module 103 is used to receive emergency power generation instructions, determine the current power deficit in the distribution network based on the emergency power generation instructions, calculate the number of emergency generators based on the current power deficit in the distribution network and the preset emergency rated power generation, and set the emergency generator start-up location set based on the number of emergency generators and multiple emergency risk nodes. The generator starting module 104 is used to construct a generator starting loss function and optimize the emergency generator starting position set using the generator starting loss function to obtain the target generator starting position set.

[0064] In detail, the modules in the emergency generator set start-up control system 100 based on energy dispatch optimization described in this embodiment of the invention adopt the same characteristics as described above during use. Figure 1 The method used is the same as the emergency generator set start-up control method based on energy dispatch optimization described in the article, and can produce the same technical effect, so it will not be repeated here.

[0065] like Figure 3 The diagram shown is a schematic representation of an electronic device for implementing an emergency generator set start-up control method based on energy dispatch optimization, according to an embodiment of the present invention.

[0066] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as an emergency generator set start-up control method program based on energy dispatch optimization.

[0067] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as the portable hard drive of the electronic device 1. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of an emergency generator set start-up control method program based on energy dispatch optimization, but also to temporarily store data that has been output or will be output.

[0068] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., an emergency generator start-up control method program based on energy dispatch optimization) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0069] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0070] Figure 3 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0071] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0072] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0073] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0074] The emergency generator set start-up control method program based on energy dispatch optimization stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following: Identify the distribution network to be controlled, which includes multiple nodes to be controlled; A set of historical operating periods is set up. Based on the set of historical operating periods, the voltage distribution of multiple nodes to be controlled in the distribution network to be controlled is calculated to obtain a set of voltage amplitude values ​​of multiple load nodes. The set of voltage amplitude values ​​of load nodes corresponds one-to-one with the historical operating periods in the set of historical operating periods. Select multiple emergency risk nodes in the distribution network to be controlled based on the voltage amplitude sets of multiple load nodes; Receive emergency power generation instructions, determine the current power deficit in the distribution network based on the emergency power generation instructions, and calculate the number of emergency generators based on the current power deficit in the distribution network and the preset emergency rated power generation. Set up the emergency generator start-up location set according to the number of emergency generators and multiple emergency risk nodes; Construct a generator start-up loss function, and use the generator start-up loss function to optimize the emergency generator start-up location set to obtain the target generator start-up location set; The emergency generator set startup control is completed based on the target generator startup location set and energy dispatch optimization.

[0075] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0076] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0077] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: Identify the distribution network to be controlled, which includes multiple nodes to be controlled; A set of historical operating periods is set up. Based on the set of historical operating periods, the voltage distribution of multiple nodes to be controlled in the distribution network to be controlled is calculated to obtain a set of voltage amplitude values ​​of multiple load nodes. The set of voltage amplitude values ​​of load nodes corresponds one-to-one with the historical operating periods in the set of historical operating periods. Select multiple emergency risk nodes in the distribution network to be controlled based on the voltage amplitude sets of multiple load nodes; Receive emergency power generation instructions, determine the current power deficit in the distribution network based on the emergency power generation instructions, and calculate the number of emergency generators based on the current power deficit in the distribution network and the preset emergency rated power generation. Set up the emergency generator start-up location set according to the number of emergency generators and multiple emergency risk nodes; Construct a generator start-up loss function, and use the generator start-up loss function to optimize the emergency generator start-up location set to obtain the target generator start-up location set; The emergency generator set startup control is completed based on the target generator startup location set and energy dispatch optimization.

[0078] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0079] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0080] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0081] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An emergency generator set starting control method based on energy scheduling optimization, characterized in that, The method comprises: determining a power distribution network to be controlled, wherein the power distribution network to be controlled comprises a plurality of nodes to be controlled; setting a historical operation period set, performing voltage distribution calculation on the plurality of nodes to be controlled in the power distribution network to be controlled based on the historical operation period set, and obtaining a plurality of load node voltage amplitude sets, wherein the load node voltage amplitude set corresponds to a historical operation period in the historical operation period set in a one-to-one manner; selecting a plurality of emergency risk nodes in the power distribution network to be controlled according to the plurality of load node voltage amplitude sets; receiving an emergency power generation instruction, determining a current power shortage of the power distribution network based on the emergency power generation instruction, and calculating the number of emergency generators according to the current power shortage of the power distribution network and a preset emergency rated power generation power; setting an emergency generator start position set according to the number of emergency generators and the plurality of emergency risk nodes; constructing a generator start loss function, optimizing the emergency generator start position set by using the generator start loss function, and obtaining a target generator start position set; completing emergency generator set start control based on energy scheduling optimization according to the target generator start position set.

2. The emergency generator set start-up control method based on energy dispatch optimization of claim 1, wherein, The method comprises: performing the following operations on each historical operation period in the historical operation period set: querying operation data of the plurality of nodes to be controlled based on the historical operation period to obtain a historical node operation data set, wherein the historical node operation data set comprises a plurality of historical node operation data, each historical node operation data corresponds to a node to be controlled, and the historical node operation data comprises a historical active power sequence and a historical reactive power sequence; constructing an emergency power distribution network environment according to the historical node operation data set and the historical operation period; performing voltage distribution analysis on the plurality of nodes to be controlled based on the emergency power distribution network environment to obtain a load node voltage amplitude set, wherein the load node voltage amplitude set comprises a plurality of load node voltage amplitudes, and each load node voltage amplitude corresponds to a node to be controlled in a one-to-one manner; obtaining the plurality of load node voltage amplitude sets by aggregating the load node voltage amplitude sets corresponding to each historical operation period.

3. The emergency generator set start-up control method based on energy dispatch optimization of claim 2, wherein, The method comprises: obtaining a total load power sequence of the power distribution network to be controlled in the historical operation period, wherein the total load power sequence comprises a plurality of total load powers, and each total load power corresponds to a load time; identifying a maximum load power in the total load power sequence and identifying a load peak time corresponding to the maximum load power; determining a load operation data set in the historical node operation data set based on the load peak time, wherein the load operation data in the load operation data set corresponds to the historical node operation data in the historical node operation data set in a one-to-one manner; constructing the emergency power distribution network environment according to the load operation data set.

4. The emergency generator set start-up control method based on energy dispatch optimization of claim 3, wherein, The method comprises: acquiring power distribution network information of the power distribution network to be controlled based on the historical operation period, and constructing a node admittance matrix based on the power distribution network information; Select a balanced node from the plurality of to-be-controlled nodes, initialize the balanced node, obtain a reference voltage amplitude and a reference voltage phase angle; Determine a plurality of load active powers and a plurality of load reactive powers of the plurality of to-be-controlled nodes according to the emergency power distribution network environment, wherein the load active power, the load reactive power and the to-be-controlled node correspond to each other; Perform node voltage iterative calculation based on the node admittance matrix, the reference voltage amplitude, the reference voltage phase angle, the plurality of load active powers and the plurality of load reactive powers, and obtain a plurality of load node voltage amplitude sets.

5. The emergency generator set start-up control method based on energy dispatch optimization of claim 4, wherein, The selecting the plurality of emergency risk nodes from the to-be-controlled power distribution network according to the plurality of load node voltage amplitude sets comprises: Perform threshold calculation according to the plurality of load node voltage amplitude sets, and obtain an emergency voltage threshold; Each to-be-controlled node in the to-be-controlled power distribution network performs the following operations: Identify a plurality of target node voltage amplitudes corresponding to the to-be-controlled node from the plurality of load node voltage amplitude sets; Calculate a node emergency risk value based on the plurality of target node voltage amplitudes and the emergency voltage threshold; Summarize the node emergency risk value corresponding to each to-be-controlled node to obtain a plurality of node emergency risk values; Determine the plurality of emergency risk nodes from the plurality of to-be-controlled nodes based on the plurality of node emergency risk values and a preset risk threshold.

6. The emergency generator set start-up control method based on energy dispatch optimization of claim 5, wherein, The constructing the generator start-up loss function comprises: Obtain a candidate start-up node set corresponding to an emergency generator start-up position set, wherein the emergency generator start-up position set comprises a plurality of generator start-up positions, each generator start-up position corresponds to an emergency risk node, and the number of generator start-up positions is the same as the number of emergency generators; Construct a simulation power distribution network environment set based on a historical operation period set, wherein the simulation power distribution network environment set comprises a plurality of simulation power distribution network environments, and the simulation power distribution network environment corresponds to the emergency power distribution network environment; Extract a simulation power distribution network environment from the simulation power distribution network environment set in sequence; Perform generator start-up simulation on the candidate start-up node set based on the extracted simulation power distribution network environment and the emergency generator set to obtain a simulation access power distribution network, wherein the simulation access power distribution network comprises a plurality of simulation power distribution network nodes; Perform operating voltage simulation on the plurality of simulation power distribution network nodes based on the simulation access power distribution network to obtain a plurality of simulation node voltage amplitude sets; Summarize the simulation node voltage amplitude set corresponding to each simulation power distribution network environment to obtain a plurality of simulation node voltage amplitude sets; Construct a risk voltage deviation matrix according to the plurality of simulation node voltage amplitude sets, and set the generator start-up loss function based on the risk voltage deviation matrix.

7. The emergency generator set start-up control method based on energy dispatch optimization of claim 6, wherein, The constructing the simulation power distribution network environment set based on the historical operation period set comprises: Determine a current operation period based on the emergency generator instruction, read the power distribution network information of the to-be-controlled power distribution network according to the current operation period, and obtain current power distribution network information; Construct a current power distribution network feature vector according to the current power distribution network information; Obtain a historical power distribution network feature vector of each historical operation period in the historical operation period set to obtain a historical power distribution network feature vector set; The feature deviation value set of the power distribution network is obtained by performing feature deviation calculation on the current feature vector of the power distribution network and a historical feature vector set of the power distribution network, wherein the feature deviation value set of the power distribution network includes a plurality of feature deviation values of the power distribution network, and each feature deviation value of the power distribution network corresponds to a historical operation period; The simulation feature deviation value set is selected from the feature deviation value set of the power distribution network according to a preset feature deviation threshold; The simulation operation period set is identified from the historical operation period set based on the simulation feature deviation value set, and a simulation power distribution network environment set of the simulation operation period set is obtained.

8. The emergency generator set start-up control method based on energy dispatch optimization of claim 7, wherein, The risk voltage deviation matrix is constructed according to the plurality of simulation node voltage amplitude sets, including: The following operations are performed on each simulation power distribution network node in the plurality of simulation power distribution network nodes: The current node voltage amplitude set is identified from the plurality of simulation node voltage amplitude sets based on the simulation power distribution network node, wherein the current node voltage amplitude set includes a plurality of current node voltage amplitudes, and each current node voltage amplitude corresponds to a simulation power distribution network environment; The rated node voltage amplitude of the simulation power distribution network node is obtained, and the current voltage deviation value set is calculated based on the rated node voltage amplitude and the current node voltage amplitude set, wherein the risk voltage deviation in the current voltage deviation value set corresponds to the current node voltage amplitude; The current voltage deviation value set corresponding to each simulation risk node is summarized to obtain a plurality of current voltage deviation value sets; The risk voltage deviation matrix is constructed according to the plurality of current voltage deviation value sets, wherein the risk voltage deviation matrix includes a plurality of current voltage deviation values, and each current voltage deviation value is located in a different matrix position.

9. The emergency generator set start-up control method based on energy dispatch optimization of claim 8, wherein, The generator start loss function is set based on the risk voltage deviation matrix, including: The generator start loss function is set by using the following formula: wherein, represents a generator start-up loss function, represents a preset minimization function, represents the number of rows of the risk voltage deviation matrix or the number of historical operation periods in the historical operation period set, represents the number of columns of the risk voltage deviation matrix or the number of emergency risk nodes in the plurality of emergency risk nodes, represents a current voltage deviation value at a row and a column position in the risk voltage deviation matrix.

10. An emergency generator set start-up control system based on energy dispatch optimization, characterized in that, The system includes: The voltage distribution calculation module is configured to determine a to-be-controlled power distribution network, wherein the to-be-controlled power distribution network includes a plurality of to-be-controlled nodes, set a historical operation period set, and perform voltage distribution calculation on the plurality of to-be-controlled nodes in the to-be-controlled power distribution network based on the historical operation period set to obtain a plurality of load node voltage amplitude sets, wherein each load node voltage amplitude set corresponds to a historical operation period in the historical operation period set; The emergency node selection module is configured to select a plurality of emergency risk nodes in the to-be-controlled power distribution network according to the plurality of load node voltage amplitude sets; The start position construction module is configured to receive an emergency power generation instruction, determine a current power shortage of the power distribution network based on the emergency power generation instruction, calculate the number of emergency generators according to the current power shortage of the power distribution network and a preset emergency rated power generation, and set an emergency generator start position set according to the number of emergency generators and the plurality of emergency risk nodes; The generator start module is configured to construct a generator start loss function, optimize the emergency generator start position set by using the generator start loss function, and obtain a target generator start position set.

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