An emergency power vehicle-based comprehensive uninterrupted power operation load regulation and matching method

Abstract

The application discloses a kind of based on emergency power vehicle's comprehensive uninterrupted power operation load regulation and matching method, belong to electric power operation field. Including the decomposition of user side load, the user side load fluctuation form is comprehensively measured, and the user side load characteristics is summarized in time period, the two-way matching between emergency power vehicle specification and user is carried out, with the best output interval of emergency power vehicle as target, the best emergency power vehicle is selected by formula calculation matching. It determines priority order according to the time characteristics of general load, accesses in time, controls in all time period, realizes the safe and dynamic matching of source-load, so that when comprehensive uninterrupted power operation is carried out, user side load is just in the best output interval of emergency power vehicle, emergency power vehicle works in the best output interval, improves power supply efficiency and safety, improves power supply reliability. It is suitable for the management field of comprehensive uninterrupted power operation based on emergency power vehicle.

Description

Technical Field

[0001] This invention belongs to the field of power dispatching, and in particular relates to a comprehensive uninterrupted power supply load regulation and matching method based on emergency power supply vehicles. Background Technology

[0002] At present, some integrated live-line work projects, such as live-line transformer replacement, live-line maintenance, and ring main unit replacement, require the use of emergency power vehicles for emergency power generation in order to improve power supply reliability.

[0003] However, each emergency power vehicle has an optimal output range. Whether the output range is higher or lower than the optimal range, the emergency power vehicle will have potential for malfunctions, which will affect work efficiency and safety.

[0004] Currently, the power supply mode for integrated uninterrupted operation of emergency power vehicles is still in the development and exploration stage. There is no corresponding dedicated user-side load statistics method, nor is there a formula for matching user-side load with emergency power vehicle capacity. It is impossible to ensure that the output of the emergency power vehicle is in the optimal range. Therefore, its operational efficiency and safety are greatly restricted. The main reasons are as follows:

[0005] At present, in the technical renovation and overhaul projects, the emergency power supply vehicles involved in the integrated uninterrupted power supply operation are subject to problems such as unclear fluctuations in user-side load and inability to determine the specific operation time. Blind selection may result in problems such as high user-side time-of-use load that the emergency power supply vehicle cannot handle, or low user-side load that does not meet the optimal output range of the emergency power supply vehicle. These problems may lead to low operation efficiency, impact on the project schedule, and poor operation safety, which is not conducive to further improving the reliability of power supply.

[0006] Furthermore, there is currently no rational formula for selecting the total capacity of emergency power vehicles based on user-side load, resulting in a lack of bidirectional matching between emergency power vehicle specifications and users. This leads to safety hazards and reduced efficiency of emergency power vehicles during integrated uninterrupted power operation due to loads exceeding the vehicle's optimal output range. Summary of the Invention

[0007] The technical problem to be solved by this invention is to provide a comprehensive uninterrupted power supply (UPS) load regulation and matching method based on an emergency power supply vehicle. This method meticulously decomposes the user-side load, comprehensively calculates the user-side load fluctuation pattern, summarizes the user-side load characteristics by time period, targets the optimal output range of the emergency power supply vehicle, determines priority ranking according to the time characteristics of general loads, implements time-sharing access and all-time regulation, and uses formulas to calculate and match the optimal emergency power supply vehicle, achieving safe and dynamic matching of source and load. This ensures that during comprehensive UPS operations, the user-side load is precisely within the optimal output range of the emergency power supply vehicle, improving power supply efficiency and safety, and enhancing power supply reliability.

[0008] The technical solution of this invention is: to provide a comprehensive uninterrupted power supply load regulation and matching method based on an emergency power vehicle, characterized by including the following steps:

[0009] 1) Conduct on-site surveys to determine the load types on the user side;

[0010] 2) Based on the improved k-means clustering method, the historical electricity consumption data of users in this community were analyzed;

[0011] 3) Classify user loads: This includes classifying electrical loads into important loads, dangerous loads, and general loads, and dividing them into time periods throughout the day to identify the operating characteristics of the three types of loads;

[0012] 4) Based on the important load and general load, determine the priority of general load, and then obtain the total amount of load that can be cut off and the optimization objective function of the minimum load to be cut off;

[0013] 5) Determine the operation period to ensure normal power supply for users, with the goal of minimizing load shedding and reducing the impact on users when emergency power vehicles are in operation;

[0014] 6) Reasonably cut off dangerous loads and impact loads, and then determine the output capacity of the emergency power supply side;

[0015] 7) The particle swarm optimization algorithm is used to solve the problem and establish a source-load matching model to perform source-load matching for emergency power supply vehicle uninterrupted operation;

[0016] 8) The optimal solution of the optimal function is calculated by the particle swarm optimization algorithm, and a minute-level emergency power vehicle matching strategy is generated at time t.

[0017] 9) With the target of 30%-80% of the optimal output range of the emergency power vehicle, and based on the redundancy and tight balance of the optimal capacity and load benchmark of the emergency power vehicle, reasonable maintenance arrangements should be made with the emergency power vehicle as the main component and mobile energy storage equipment as the secondary component.

[0018] Specifically, the integrated uninterrupted power supply load regulation and matching method based on emergency power vehicles aims at the 30%-80% optimal output range of emergency power vehicles, determines the priority order according to the time characteristics of general loads, cuts off specific dangerous loads, connects regular loads in time-sharing, and regulates the load throughout the entire time period to achieve safe and dynamic matching of source and load.

[0019] Specifically, the comprehensive uninterrupted power supply load regulation and matching method based on emergency power vehicles analyzes the historical electricity consumption data of users in the community based on the improved k-means clustering method, classifies the electricity load into important loads, dangerous loads and general loads, divides the time period of the day, identifies the operating characteristics of the three types of loads, and calculates the total load on the user side in time-sharing manner to form a database, providing data basis for emergency power vehicle matching.

[0020] Furthermore, the analysis of historical electricity consumption data for users in this community includes: analyzing the electricity consumption data of all users who participated in the emergency power supply vehicle's uninterrupted power supply operation. i (i∈N) are grouped into a total user set, U serset =[U1,U2,L,U k ,L,U N ];

[0021] Then divide the day into hours (t). set = [1,2,L,t,L,24];

[0022] Let t be the expected start time of the emergency power vehicle operation. s The end time is t e If the time interval is divided equally into T time periods, each in hours, then the time set can be represented as M = [t] s ,t s +1,L,t s +T-1,t e ];

[0023] The load during the dispatching period for emergency power supply vehicle uninterrupted operation is: Y = [X1, X2, L, X k ,L,X N ], where Y is a T×n dimensional matrix, and X k This is a 24-dimensional column vector representing the interruptible load of user k over a 24-hour period, with the following constraints:

[0024]

[0025]

[0026] In the formula: X k This represents the load that user k can switch at time t; The maximum shearable load at time t;

[0027] The total shearable load Y(t) at time t is calculated as follows:

[0028]

[0029] Mathematical description of user load granularity:

[0030] L k (t)=X k (t)

[0031] In the formula: L k (t) represents the granularity of the user load.

[0032] Furthermore, the aforementioned classification of user load includes:

[0033] Based on the importance of user loads, the user's switchable loads are divided into: important loads (Level I), critical loads (Level II), and general loads (Level III). Then U s ′ erSet ={U serI U serII U serIII};

[0034] For user U k ∈U seri (i = I, II, III), according to its X k The magnitude of (t) is used to classify the shearable load of all users participating in load shedding at time t, and is expressed by the following formula:

[0035]

[0036] In the formula: User level U seri The lower and upper limits of the load that can be cut off; X i,k (t) represents level U seri The load that can be switched by user k in the middle.

[0037] Specifically, calculate user U at time t. seri The total shearable load (i = I, II, III) is determined using the following formula:

[0038]

[0039] The total shearable load at time t is determined using the following formula:

[0040]

[0041] Furthermore, the objective function for optimizing the minimum shedding load is:

[0042]

[0043] In the formula: X k (t Δ () indicates the actual start time t of the load shedding operation. Δ The load that user k can switch, Y(t)Δ This represents the total load of all users participating in load shedding control.

[0044] Specifically, the solution steps of the particle swarm optimization algorithm are as follows:

[0045] 1) The load monitoring platform uploads electricity consumption information of residents in communities that require emergency power supply vehicle operation;

[0046] 2) Use the K-means clustering method to classify users;

[0047] 3) Based on the K-means cluster centers, classify the load levels of users in the community.

[0048] 4) Optimize using the minimum cutoff load as the objective function, and randomly generate particles (minimum cutoff load) within the range;

[0049] 5) Read the configuration information of the power supply vehicle participating in the uninterrupted power supply operation. If the remaining capacity after the load is cut off exceeds the capacity of the power supply vehicle, then the particle does not meet the constraint and should be corrected.

[0050] Furthermore, the comprehensive uninterrupted power supply load regulation and matching method based on emergency power supply vehicles aims to minimize the increase and decrease of load. Different power supply vehicles are selected for different types of loads, and the objective function is as follows:

[0051]

[0052] In the formula P AN For the rated active power output of the Ath emergency power supply vehicle, P Bt Let be the active power consumed by the Class B load at time t, and s be the range coefficient, where 0.8P AN ≤P Bt When the value is 0.8, and when it is 0.3P AN ≥P Bt Take 0.3 at that time;

[0053] By performing the above calculations before operation, the optimal specifications for the emergency power vehicle can be determined, thereby achieving two-way matching and ensuring the operational efficiency and safety of the emergency power vehicle.

[0054] The integrated uninterrupted power supply load regulation and matching method based on emergency power supply vehicles described in this invention decomposes the user-side load in detail, comprehensively calculates the fluctuation pattern of the user-side load, summarizes the characteristics of the user-side load in different time periods, and performs bidirectional matching between the emergency power supply vehicle specifications and the user. Using the optimal output range of the emergency power supply vehicle as the target, the method calculates and selects the best emergency power supply vehicle using formulas, determines the priority ranking according to the time characteristics of general loads, and implements time-sharing access and all-time regulation to achieve safe and dynamic matching of source and load. This ensures that during integrated uninterrupted power supply operations, the user-side load is exactly within the optimal output range of the emergency power supply vehicle, and the emergency power supply vehicle operates within its optimal output range, improving power supply efficiency and safety, and enhancing power supply reliability.

[0055] Compared with the prior art, the advantages of the present invention are:

[0056] 1. The technical solution of the present invention uses a rational formula for selecting the total capacity of the emergency power vehicle based on the user-side load, and through bidirectional matching between the specifications of the emergency power vehicle and the user, finds the optimal output range of the emergency power vehicle during the comprehensive uninterrupted power operation process of the emergency power vehicle.

[0057] 2. This technical solution can use formulas to calculate and match the optimal emergency power vehicle, thereby ensuring that the user-side load is exactly in the optimal output range of the emergency power vehicle when carrying out comprehensive uninterrupted power operation. This solves the shortcomings of existing emergency power vehicle comprehensive uninterrupted power operation technical solutions, and optimizes the work efficiency and safety of related work of emergency power vehicle comprehensive uninterrupted power operation.

[0058] 3. By adopting this technical solution, the user-side load is decomposed in detail, the fluctuation pattern of the user-side load is comprehensively calculated, the characteristics of the user-side load are summarized in different time periods, and the optimal output range of the emergency power supply vehicle is taken as the target. The priority ranking is determined according to the time characteristics of general loads, and the connection is carried out in a time-sharing and all-time control manner to achieve safe and dynamic matching of source and load to the most suitable emergency power supply vehicle. The emergency power supply vehicle works in the optimal output range, which improves power supply efficiency and safety and enhances power supply reliability. Attached Figure Description

[0059] Figure 1 This is a schematic diagram of the source-load matching optimization process of the present invention;

[0060] Figure 2 This is a schematic diagram of the iterative optimization process of the particle swarm optimization algorithm of this invention;

[0061] Figure 3 This is a comparative diagram showing the classification results of office buildings obtained by K-Means clustering;

[0062] Figure 4 This is a schematic diagram of the iteration curve;

[0063] Figure 5 This is a schematic diagram showing the comparison results of load scheme 1. Detailed Implementation

[0064] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0065] Given the limited load output range of emergency power vehicles, they often cannot meet the emergency power supply needs of special fields such as flexible power supply for major events and disaster relief. For the remaining load that emergency power vehicles cannot supply, mobile energy storage devices can be used for discharge supplementation, so as to achieve uninterrupted operation of a high proportion of load.

[0066] Before emergency power generation, it is necessary to conduct an on-site survey of the user-side load type. User-side equipment can be divided into important equipment, general equipment, and dangerous equipment, so as to develop targeted power generation plans and formulate time-sharing access and all-time control strategies for different equipment types.

[0067] Based on an improved k-means clustering method, historical electricity consumption data of users in this community was analyzed. The electricity load was categorized into critical loads, hazardous loads, and general loads, and the daily time period was also divided to identify the operating characteristics of these three load types. Using critical and general loads as a benchmark, precise load matching was achieved based on the optimal capacity of the emergency power vehicle, and the priority of general loads was determined. This approach ensures normal power supply for users and minimizes the impact of emergency power vehicle operations on users by determining the operating time. Furthermore, it allows for the reasonable removal of hazardous and congestion loads, thereby determining the output capacity of the emergency power supply side. This achieves a power supply mode primarily based on emergency power vehicles and supplemented by mobile energy storage devices, ensuring a safe and precise match between the power source and the load (also known as "source-load matching").

[0068] In practical engineering applications, the entire source-load matching and operation process includes interruptible load assessment and classification, user classification, and source-load matching optimization process, with the specific architecture as follows: Figure 1 As shown.

[0069] When the emergency power vehicle is under maintenance, it uses an offline load strategy database to identify and select the best strategy suitable for the current fault through online matching, and then outputs and executes the strategy.

[0070] Considering the uncertainty of users' electricity consumption behavior, the offline policy database has a function to update policies regularly to ensure the effectiveness of the policies.

[0071] In practical engineering applications, the optimization objective is usually to minimize load shedding. Minimum load shedding is an important indicator for the maintenance of emergency power vehicles. The more load is shedding, the greater the impact on the user's daily operation and the lower the user satisfaction.

[0072] The following is the user minimum shedding load and source-load matching model, which includes a mathematical description of user load granularity, user response load classification, and minimum overshuffling rate optimization objective function.

[0073] All users participating in the emergency power vehicle uninterrupted power supply operation U i (i∈N) are grouped into a total user set, i.e., U serset =[U1,U2,L,U k ,L,U N Then divide the day into hours (t). set =[1,2,L,t,L,24].

[0074] Let t be the expected start time of the emergency power vehicle operation. s The end time is t e If the time interval is divided equally into T time periods, each in hours, then the time set can be represented as M = [t] s ,t s +1,L,t s +T-1,t e ].

[0075] The load during the dispatching period for emergency power supply vehicle uninterrupted operation is: Y = [X1, X2, L, X k ,L,X N ], where Y is a T×n dimensional matrix, and X k This is a 24-dimensional column vector representing the interruptible load of user k over a 24-hour period, with the following constraints:

[0076]

[0077]

[0078] In the formula: X k This represents the load that user k can switch at time t; The maximum shearable load is t.

[0079] The total shearable load Y(t) at time t is calculated as follows:

[0080]

[0081] Mathematical description of user load granularity:

[0082] L k (t)=X k (t) (4)

[0083] In the formula: L k (t) represents the granularity of the user load.

[0084] User load grading:

[0085] Based on the importance of user loads, the user's switchable loads are divided into: important loads (Level I), critical loads (Level II), and general loads (Level III). Then U s ′ erSet ={U serI U serII U serIII}, for user U k ∈U seri (i = I, II, III), according to its X k The magnitude of (t) is used to classify the shearable load of all users participating in load shedding at time t, as shown in the following formula:

[0086]

[0087] In the formula: User level U seri The lower and upper limits of the load that can be cut off; X i,k (t) represents level U seri The load that can be switched by user k in the middle.

[0088] Calculate U at time t seri The total shearable load (i = I, II, III) is shown in the following formula:

[0089]

[0090] Finally, the total shearable load at time t is calculated as shown in the following formula:

[0091]

[0092] Minimum load shedding optimization objective function:

[0093]

[0094] In the formula: X k (t Δ () indicates the actual start time t of the load shedding operation. Δ The load that user k can switch, Y(t) Δ This represents the total load of all users participating in load shedding control.

[0095] During uninterrupted power supply operations by emergency power vehicles, the shorter the time for load shedding, the less impact on users. Therefore, the instantaneous load shedding rate and the average instantaneous load shedding rate are established as evaluation indicators for uninterrupted power supply operations.

[0096] 1) Instantaneous shedding load rate:

[0097] That is, during the maintenance period of the emergency power vehicle t Δ The ratio of the actual load shedding amount to the target load shedding amount at any given time is shown in the following formula:

[0098]

[0099] In the formula: θ(t) Δ () indicates the maintenance time period t for the emergency power vehicle. Δ The load is cut off instantaneously at any given moment, and Y' is the target load shedding amount.

[0100] 2) Average instantaneous shear rate:

[0101] The average instantaneous load shedding rate within the load shedding time set is shown in the following formula:

[0102]

[0103] In the formula: This represents the average instantaneous load shedding rate within time period T.

[0104] The source-load matching process of the emergency power supply vehicle is a nonlinear optimization problem. The solution involves many factors and the overall solution complexity is relatively high. Therefore, the particle swarm optimization algorithm is used to solve the source-load matching for this emergency power supply vehicle's uninterrupted power supply operation.

[0105] The optimization steps of the particle swarm intelligence algorithm are as follows:

[0106] 1) The load monitoring platform uploads electricity consumption information of residents in communities that require emergency power supply vehicle operation;

[0107] 2) Use the K-means clustering method to classify users;

[0108] 3) Based on the K-means cluster centers, classify the load levels of users in the community.

[0109] 4) Optimize using the minimum cutoff load as the objective function, and randomly generate particles (minimum cutoff load) within the range;

[0110] 5) Read the configuration information of the power supply vehicle participating in the uninterrupted power supply operation. If the remaining capacity after the load is cut off exceeds the capacity of the power supply vehicle, then the particle does not meet the constraint and should be corrected.

[0111] The specific solution process is as follows: Figure 2 As shown in the image.

[0112] Finally, the optimal solution of the optimal function is calculated using the particle swarm optimization algorithm, and a minute-level emergency power vehicle matching strategy is generated at time t.

[0113] Considering that the optimal output range of the emergency power vehicle is 30%-80%, and that prolonged operation at or below this output range can lead to safety issues, the maintenance schedule is reasonably arranged with the emergency power vehicle as the primary device and mobile energy storage equipment as the secondary device, based on the redundancy and tight balance of the emergency power vehicle's optimal capacity and load benchmark matching.

[0114] like Figure 2 As shown, based on the improved k-means clustering method, the historical electricity consumption data of users in this community is analyzed, and the electricity load is classified into important loads, dangerous loads and general loads. The daily time period is also divided to identify the operating characteristics of the three types of loads. The total load on the user side is calculated in time-sharing manner to form a database, which provides data basis for emergency power vehicle matching.

[0115] To ensure the safe operation of emergency power vehicles, the optimal output range for these vehicles is 30%-80%. Prolonged operation above or below this range can lead to safety issues. Using the 30%-80% optimal output range as a target, priority is determined based on the time characteristics of general loads. Specific hazardous loads are disconnected, and regular loads are connected in a time-sharing manner, allowing for continuous control and achieving safe and dynamic matching of power sources and loads.

[0116] With the goal of minimizing both power generation and load reduction, different power supply vehicles are selected for different types of loads. The objective function is as follows:

[0117]

[0118] In the formula P AN For the rated active power output of the Ath emergency power supply vehicle, P Bt Let be the active power consumed by the Class B load at time t, and s be the range coefficient, where 0.8P AN ≤P Bt When the value is 0.8, and when it is 0.3P AN ≥P Bt Take 0.3 at this time.

[0119] By performing the above calculations before operation, the optimal specifications for the emergency power vehicle can be determined, thereby achieving two-way matching and ensuring the operational efficiency and safety of the emergency power vehicle.

[0120] Example:

[0121] A case study analysis was conducted on the dynamic matching of power source and load between a single user in a certain area and an emergency power vehicle.

[0122] (1) Power supply vehicle parameters:

[0123] The parameters of different emergency power supply vehicles are shown in the table below.

[0124] Table 1 Parameter Table for Emergency Power Supply Vehicle

[0125]

[0126] The formulas for calculating the rated active power of different power supply vehicles are as follows:

[0127]

[0128] In the formula P AN S represents the rated active power output of the Ath emergency power supply vehicle. AN This represents the total power generation capacity of the Ath emergency power vehicle.

[0129] To ensure the safe operation of the emergency power vehicle, the optimal output range for the emergency power vehicle is 30%-80%. Prolonged operation at or below this output range may lead to safety issues.

[0130] With the target of 30%-80% optimal output range of emergency power vehicles, priority is determined according to the time characteristics of general loads, and time-sharing access and all-time control are implemented to achieve safe and dynamic matching of source and load.

[0131] Therefore, the active power output constraint of the emergency power vehicle is set as follows:

[0132] 0.3P AN ≤P At ≤0.8P AN (12)

[0133] In the formula: P At This represents the active power output of the Ath emergency power vehicle at time t.

[0134] (2) User information for uninterrupted power supply communities:

[0135] The load data for a single unit area is based on office buildings.

[0136] Historical building electricity consumption data from 2016 was used for analysis. The data granularity was hourly, and the categories were total load, lighting load, air conditioning load, power load, special load and other loads. The load matrix was constructed with dimensions (8760,5).

[0137] (3) K-means clustering of user load classification:

[0138] User load classification was performed using the k-means method, and the clustering result was 3 classes, as shown in the figure. Figure 3 As shown, the low-voltage distribution area can be clearly classified into the following categories according to the daily load curve: peak weekday load in winter and summer (Category 1), weekday load in spring and autumn (Category 2), and rest day load (Category 3).

[0139] Based on the three types of load conditions, the cluster center curves (represented by dashed lines in 0) are taken as the three types of loads. The typical values ​​are used to calculate the source-load matching of the emergency power supply vehicle, which are respectively: Type 1: 2016 / 07 / 19, Type 2: 2016 / 03 / 21, and Type 3: 2016 / 01 / 23.

[0140] Taking Class 1 as an example, the total load and specific values ​​of each load on a typical day are given (unit: kW). Since the load side needs to cut off the motor load and impact load to ensure the reliability of power supply when the emergency power vehicle is supplying power, the power load is treated as an unadjustable load. The value of the total load minus the power load is calculated as the load that the emergency power vehicle needs to carry.

[0141] Table 2 Load Breakdown (Unit: kW)

[0142]

[0143] (4) Minimum resection load:

[0144] With the goal of minimizing load cut-off / increase, Equation (11) is used to match the appropriate emergency power supply vehicle for the minimum load cut-off.

[0145] The specific implementation process is as follows:

[0146] P is calculated based on the power vehicle parameters in (1). 1N =0.8 × 325 = 260 kW, P 2N =0.8×300=240kW, P 3N =0.8×125=100kW.

[0147] P AN P Bt As two unknowns represented by random particles, denoted as 3x1 and 3x24 matrices respectively, with a velocity of 1, the particle swarm optimization algorithm is used to find the optimal solution. The iteration curve is shown below. Figure 4 As shown.

[0148] Solution results: The optimal solution for the power supply vehicle for load 1 is emergency power supply vehicle 1, which generates / reduces a total load of 758kW in 24 hours, with the load increase from 23:00 to 7:00 and the load decrease from 10:00 to 19:00.

[0149] Emergency power vehicle option 2 has a total power output of 864kW, while emergency power vehicle option 3 has a total power output of 2030kW. The load reduction is compared between load 1 power vehicle options. Figure 5 As shown.

[0150] Similarly, the comparison results of load scheme 2 are as follows: Emergency Power Vehicle 1: 429kW, Emergency Power Vehicle 2: 363kW, Emergency Power Vehicle 3: 731kW. Emergency Power Vehicle 2 should be selected. The load increase and decrease according to time is shown in Table 3.

[0151] The comparison results of the three load options are as follows: Emergency Power Vehicle 1: 1384kW, Emergency Power Vehicle 2: 1240kW, Emergency Power Vehicle 3: 233kW. Option 3 should be selected. The load increase and decrease according to time is shown in Table 3.

[0152] Table 3 Comparison of Load Schemes 2 and 3 (Unit: kW)

[0153]

[0154] The technical solution of this invention meticulously decomposes the user-side load, comprehensively calculates the fluctuation pattern of the user-side load, summarizes the characteristics of the user-side load in different time periods, and performs bidirectional matching between the emergency power vehicle specifications and the user. Taking the optimal output range of the emergency power vehicle as the target, the optimal emergency power vehicle is selected and matched using formulas. Priority is determined according to the time characteristics of general loads, and access is carried out in a time-sharing and all-time control manner to achieve safe and dynamic matching between source and load. This ensures that when comprehensive uninterrupted power supply operations are carried out, the user-side load is exactly in the optimal output range of the emergency power vehicle. The emergency power vehicle operates in the optimal output range, improving power supply efficiency and safety, and enhancing power supply reliability.

[0155] This invention is applicable to the field of integrated uninterrupted power supply operation management based on emergency power supply vehicles.

Claims

1. A comprehensive uninterrupted power supply load regulation and matching method based on an emergency power vehicle, characterized in that: Includes the following steps: 1) Conduct on-site surveys to determine the load types on the user side; 2) Based on the improved k-means clustering method, the historical electricity consumption data of users in this community were analyzed; 3) Classify user loads: This includes classifying electrical loads into important loads, dangerous loads, and general loads, and dividing them into time periods throughout the day to identify the operating characteristics of the three types of loads; 4) Based on the distinction between critical loads and general loads, determine the priority of general loads, and then obtain the total amount of loads that can be shelved and the objective function for optimizing the minimum load shelving. 5) Determine the operation period to ensure normal power supply for users, with the goal of minimizing load shedding and reducing the impact on users when emergency power vehicles are in operation; 6) Reasonably cut off dangerous loads and impact loads, and then determine the output capacity of the emergency power supply side; 7) The particle swarm optimization algorithm is used to solve the problem and establish a source-load matching model to perform source-load matching for emergency power supply vehicle uninterrupted operation; 8) The optimal solution of the optimal function is calculated by the particle swarm optimization algorithm, and a minute-level emergency power vehicle matching strategy is generated at time t; 9) With the target of 30%-80% of the optimal output range of the emergency power vehicle, and based on the redundancy and tight balance of the optimal capacity and load benchmark of the emergency power vehicle, reasonable maintenance arrangements should be made with the emergency power vehicle as the main component and mobile energy storage equipment as the secondary component.

2. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The aforementioned integrated uninterrupted power supply load regulation and matching method based on emergency power vehicles targets the 30%-80% optimal output range of emergency power vehicles, determines the priority order according to the time characteristics of general loads, cuts off specific dangerous loads, connects regular loads in time-sharing, and regulates the load throughout the entire time period to achieve safe and dynamic matching of source and load.

3. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The proposed integrated uninterrupted power supply load regulation and matching method based on emergency power vehicles analyzes the historical electricity consumption data of users in the community using an improved k-means clustering method. It categorizes the electricity load into important loads, dangerous loads, and general loads, and divides the day into time periods to identify the operating characteristics of the three types of loads. It also calculates the total load on the user side in time-sharing manner to form a database, providing data basis for emergency power vehicle matching.

4. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The aforementioned analysis of the historical electricity consumption data of users in this community includes: analyzing the electricity consumption data of all users who participated in the emergency power supply vehicle's uninterrupted power supply operation. i (i∈N) are grouped into a total user set, ; Then divide the day into hours. ; Assume the expected start time of the emergency power vehicle operation is The end time is t e If the time interval is divided equally into T time periods, each in hours, then the time set can be represented as: ; The load during the dispatching period for emergency power supply vehicle uninterrupted operation is: Where Y is a T×n dimensional matrix, and This is a 24-dimensional column vector representing the interruptible load of user k over a 24-hour period, with the following constraints: In the formula: This represents the load that user k can switch at time t; The maximum shearable load at time t; The total shearable load Y(t) at time t is calculated as follows: Mathematical description of user load granularity: In the formula: This indicates the granularity of the user load.

5. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The aforementioned classification of user load includes: Based on the importance of user loads, the switchable loads of users are divided into three levels: Important Load Level I, Critical Load Level II, and General Load Level III. ; For users According to its The magnitude of the load shedding capacity is used to classify the load shedding capacity of all users participating in load shedding at time t, and is expressed by the following formula: In the formula: , User level The lower and upper limits of the load that can be cut off; For level The load that can be switched by user k in the middle.

6. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: Calculate the user at time t The total shearable load is determined using the following formula: ； The total shearable load at time t is determined using the following formula: ； Where Y(t) is the total shearable load at time t, Y i (t) represents user U at time t. seri The total shearable load (i=I,II,III); For level The load that user k can switch over is N, and N represents all users who will participate in the emergency power supply vehicle's uninterrupted power operation.

7. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The objective function for optimizing the minimum load shedding is: In the formula: Indicates the actual start time t of the load shedding operation. Δ The load that user k can switch, Y(t) Δ This represents the total load of all users participating in load shedding control.

8. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The solution steps of the particle swarm optimization algorithm are as follows: 1) The load monitoring platform uploads electricity consumption information for residents in communities requiring emergency power supply vehicle operation; 2) Use the K-means clustering method to classify users; 3) Based on the K-means cluster centers, classify the load levels of users in the community. 4) Optimize using the minimum shearing load as the objective function, and randomly generate particles within the range; 5) Read the configuration information of the power supply vehicle participating in the uninterrupted power supply operation. If the remaining capacity after the load is cut off exceeds the capacity of the power supply vehicle, then the particle does not meet the constraint and should be corrected.

9. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The comprehensive uninterrupted power supply load regulation and matching method based on emergency power supply vehicles aims to minimize the increase and decrease of load. Different power supply vehicles are selected for different types of loads. The objective function is as follows: mines = In the formula P AN For the rated active power output of the Ath emergency power supply vehicle, P Bt Let be the active power consumed by the Class B load at time t, and s be the range coefficient, where 0.8P AN ≤P Bt When the value is 0.8, and when it is 0.3P AN ≥P Bt Take 0.3 at that time; By performing the above calculations before operation, the optimal specifications for the emergency power vehicle can be determined, thereby achieving two-way matching and ensuring the operational efficiency and safety of the emergency power vehicle.

10. The integrated uninterrupted power supply load regulation and matching method based on an emergency power vehicle according to claim 1, characterized in that: The proposed integrated uninterrupted power supply load regulation and matching method based on emergency power vehicles meticulously decomposes the user-side load, comprehensively calculates the user-side load fluctuation pattern, summarizes the user-side load characteristics by time period, and performs bidirectional matching between the emergency power vehicle specifications and the user. Using the optimal output range of the emergency power vehicle as the target, the method calculates and selects the best emergency power vehicle using formulas, determines the priority ranking according to the time characteristics of general loads, and implements time-sharing access and all-time regulation to achieve safe and dynamic matching of source and load. This ensures that during integrated uninterrupted power supply operations, the user-side load is precisely within the optimal output range of the emergency power vehicle, and the emergency power vehicle operates within its optimal output range, improving power supply efficiency and safety, and enhancing power supply reliability.

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