Commercial load cluster safe operation domain division method and system for safe operation of multi-level low-voltage power distribution network, and storage device

Abstract

The invention discloses a commercial load cluster safe operation domain division method and system for safe operation of a multi-level low-voltage power distribution network, and a storage device, and relates to the field of power distribution networks, and the method comprises the following steps: data collection and preprocessing: collecting operation data of the multi-level low-voltage power distribution network; load characteristic analysis: analyzing power utilization characteristics of the commercial load cluster; defining a safe operation domain: defining the safe operation domain of the commercial load cluster according to the safe operation requirement of the multi-level low-voltage power distribution network; a safe operation domain division algorithm: performing safe operation domain division on the commercial load cluster according to the collected data and the analysis result; and real-time monitoring and adjustment: real-time monitoring is implemented, and the safe operation domain is dynamically adjusted according to the actual operation condition. According to the method, the operation strategy and the control algorithm of the power system are optimized, so that the adaptability and the stability of the power system to the commercial load change are remarkably enhanced, the system can better cope with various emergencies, and the continuity and the reliability of power supply are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of power distribution networks, and in particular to a method, system and storage device for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage power distribution networks. Background Art

[0002] With the rapid development of power systems, the proportion of commercial load clusters in multi-level low-voltage distribution networks has gradually increased, and their safe and stable operation has a vital impact on the reliability of the entire power system. At present, the existing load cluster safe operation domain division methods usually do not fully consider the unique characteristics of multi-level low-voltage distribution networks, which leads to the inaccuracy of the division results and is difficult to meet the needs of actual operation.

[0003] Specifically, with the rapid economic development and the acceleration of urbanization, the proportion of commercial load clusters in the power system is increasing. These load clusters are usually distributed in multi-level low-voltage distribution networks, and their stable operation is of great significance to ensuring the reliability of power supply. However, the existing methods for dividing the safe operation domain of load clusters often ignore the multi-level characteristics of the low-voltage distribution network, resulting in the division results that cannot accurately reflect the actual operating conditions. This inaccurate division method is not only difficult to meet the actual operation needs, but may also bring safety hazards and affect the stability and reliability of the entire power system.

[0004] In order to improve the accuracy of the division of the safe operation domain of the load cluster, the characteristics of the multi-level low-voltage distribution network must be fully considered. This includes factors such as the structure of the low-voltage distribution network, load distribution, equipment characteristics, and operating environment. Through in-depth analysis and comprehensive consideration of these factors, the safe operation domain of the load cluster can be divided more accurately, thereby providing a strong guarantee for the stable operation of the power system. Only in this way can the safe and stable operation of the commercial load cluster in the multi-level low-voltage distribution network be ensured, thereby improving the reliability and efficiency of the entire power system. Summary of the invention

[0005] The purpose of the present invention is to provide a method, system and storage device for dividing the safe operation domain of a commercial load cluster for the safe operation of a multi-level low-voltage distribution network, so as to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The method for dividing the safe operation domain of commercial load clusters for the safe operation of multi-level low-voltage distribution networks includes the following steps:

[0008] Data collection and preprocessing: Collecting operation data of multi-level low-voltage distribution networks;

[0009] Load characteristics analysis: Analyze the power consumption characteristics of commercial load clusters;

[0010] Safe operation domain definition: Based on the safe operation requirements of the multi-level low-voltage distribution network, define the safe operation domain of the commercial load cluster;

[0011] Safe operation domain division algorithm: divide the commercial load cluster into safe operation domains based on the collected data and analysis results;

[0012] Real-time monitoring and adjustment: Implement real-time monitoring and dynamically adjust the safe operation domain according to the actual operation situation;

[0013] Safety warning and control: Based on the division results of the safe operation domain, develop safety warning mechanisms and control strategies.

[0014] As a further solution of the present invention, the safe operation domain division algorithm includes the following steps:

[0015] Load clustering: clustering commercial loads according to their power consumption characteristics;

[0016] Domain boundary determination: Determine the safe operation domain boundary of each cluster;

[0017] Intra-domain optimization: Optimize the load configuration within each safe operation domain.

[0018] As a further solution of the present invention, the real-time monitoring and adjustment includes the following steps:

[0019] Monitoring data collection: real-time collection of operating data of multi-level low-voltage distribution networks;

[0020] Operation status assessment: assess the operation status of the commercial load cluster;

[0021] Domain adjustment strategy: Adjust the security operation domain based on the evaluation results.

[0022] As a further solution of the present invention, the safety warning and control comprises the following steps:

[0023] Early warning mechanism: Develop an early warning mechanism based on the results of safe operation domain division;

[0024] Control strategy: Develop control strategies based on early warning results.

[0025] As a further solution of the present invention, the operating data collected from the multi-level low-voltage distribution network includes voltage, current, power, and load distribution. The load characteristic analysis refers to the analysis of the power consumption characteristics of the commercial load cluster, including the type of load, power consumption period, and power consumption peak. This step is completed by statistics and analysis of the collected data.

[0026] As a further solution of the present invention, the safe operation domain is specifically defined as follows: according to the safe operation requirements of the multi-level low-voltage distribution network, the safe operation domain of the commercial load cluster is defined, and the safe operation domain includes a voltage safety domain and a power safety domain. The definitions of the voltage safety domain and the power safety domain are expressed by the following formula:

[0027] Voltage safety domain: Vmin,i≤Vi,t≤Vmax,i, where Vmin,i and Vmax,i are the lower and upper limits of the voltage at node i, respectively;

[0028] Power safety region: Pij,t≤Smax,ij, where Pij,t is the active power of line ij at time t, and Smax,ij is the upper limit of the apparent power of line ij.

[0029] As a further solution of the present invention, the safe operation domain division algorithm is specifically:

[0030] Load clustering: Cluster commercial load clusters according to their power consumption characteristics, using an improved shared neighbor-based density peak clustering algorithm;

[0031] Domain boundary determination: Determine the safe operation domain boundary of each cluster and calculate the load statistics in each cluster, including the mean and standard deviation.

[0032] Intra-domain optimization: Optimize the configuration of loads within each safe operation domain to ensure operation within the safe domain.

[0033] As a further solution of the present invention, the improved density peak clustering algorithm based on shared nearest neighbors specifically includes:

[0034] Calculate the distance matrix: Calculate the distance D between any two data points in the data set n×n ={d ij} n×n ;

[0035] Local density calculation: Calculate any data point x based on the cutoff distance i The local density ρ i ;

[0036] Calculate the closest distance δ to a higher density point i :δ i =min j：ρj＞ρi (d ij );For the local density peak point i, define δ i is: i =max i≠j (δ j );

[0037] Decision value γ iCalculation: Take the product of ρ and δ as the decision value to measure, γ i =ρ i ×δ i , take the point with the largest decision value γ as the cluster center;

[0038] Draw a decision diagram: with ρ i As the horizontal axis, δ i As the vertical axis, draw a decision diagram;

[0039] Identification of cluster centers and noise points: Using the decision graph, ρ i and δ i The points with relatively high ρ are marked as cluster centers; i Relatively low but δ i Relatively high points are marked as noise points;

[0040] Remaining point allocation: allocate the remaining points. When allocating, assign each remaining point to the cluster where its nearest neighbor and the data point with greater density are located.

[0041] The step of calculating the statistics of the load in each cluster comprises:

[0042] Preprocess the load data of each distribution transformer, remove duplicate values ​​and outliers, insert missing values, and extract five daily characteristic values: load rate, daily peak-to-valley difference rate, peak load rate, normal load rate, and valley load rate; for each characteristic value, calculate its mean average load level, maximum peak load, minimum value, and standard deviation;

[0043] Load rate (L load rate ): Where data(i,:) represents the load data of the i-th user for one day;

[0044] Daily peak-to-valley difference rate (L peak-trough ):

[0045] Peak load factor (L peak ):

[0046] Average load factor (L flat ):

[0047] Valley load rate (L valley ):

[0048] As a further solution of the present invention, the present invention also provides a device for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks, which applies the method for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks as described above.

[0049] As a further solution of the present invention, the present invention also provides a storage device storing computer program instructions, which, when executed, implement the method for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks as described above.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] (1) The present invention significantly improves the safe operation level of commercial load clusters in multi-level low-voltage distribution networks, ensures the stability and reliability of power supply, and reduces the risk of power outages caused by equipment failure or external factors;

[0052] (2) By optimizing the operation strategy and control algorithm of the power system, the adaptability and stability of the power system to commercial load changes have been significantly enhanced, enabling the system to better respond to various emergencies and ensuring the continuity and reliability of power supply;

[0053] (3) By implementing real-time monitoring and dynamic adjustment technologies, the system's response speed and processing efficiency have been significantly improved, enabling the power system to identify and handle various abnormal situations more quickly, thereby improving the overall operating efficiency and reliability of the power system. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] In an embodiment of the present invention, in order to ensure the safe and stable operation of a multi-level low-voltage distribution network, the present invention proposes a safe operation domain division method, system and storage device for commercial load clusters. The method comprises the following steps:

[0056] First, data collection and preprocessing are performed; at this stage, we need to collect the operating data of multi-level low-voltage distribution networks, including voltage, current, power, and load distribution information. These data will provide a solid foundation for subsequent analysis and processing. In order to ensure the accuracy and reliability of the data, we also need to clean and preprocess the data to eliminate possible noise and outliers.

[0057] Next, we will analyze the load characteristics; in this step, we will conduct an in-depth analysis of the power consumption characteristics of the commercial load cluster. This includes identifying key characteristics such as load type, power consumption period, and power consumption peak. By collecting statistics and analyzing the collected data, we can better understand the power consumption behavior of the commercial load cluster, thereby providing strong support for the subsequent safe operation domain division.

[0058] Then, define the safe operation domain; according to the safe operation requirements of the multi-level low-voltage distribution network, we will clarify the safe operation domain of the commercial load cluster. This safe operation domain includes the voltage safety domain and the power safety domain. The definition of the voltage safety domain is based on the upper and lower limits of the node voltage, while the power safety domain is based on the apparent power upper limit of the line. The specific formula is as follows:

[0059] Voltage safety region: Vmin,i≤Vi,t≤Vmax,i, where Vmin,i and Vmax,i are the lower and upper limits of the voltage at node i, respectively;

[0060] Power safety region: Pij,t≤Smax,ij, where Pij,t is the active power of line ij at time t, and Smax,ij is the upper limit of the apparent power of line ij.

[0061] Next, we will use the safe operation domain partitioning algorithm to divide the safe operation domain of the commercial load cluster. This algorithm includes the following steps:

[0062] Load clustering: Cluster commercial load clusters according to their power consumption characteristics. We will use the improved shared neighbor-based density peak clustering algorithm to achieve this process to ensure the accuracy and reliability of the clustering results. The improved shared neighbor-based density peak clustering algorithm can better handle the complexity and diversity of commercial load clusters by introducing new distance metrics and clustering strategies.

[0063] The improved shared neighbor-based density peak clustering algorithm specifically includes:

[0064] Calculate the distance matrix: Calculate the distance D between any two data points in the data set n×n ={d ij} n×n ;

[0065] Local density calculation: Calculate any data point x based on the cutoff distance i The local density ρ i ;

[0066] Calculate the closest distance δ to a higher density point i :δ i =min j：ρj＞ρi (d ij);For the local density peak point i, define δ i is: i =max i≠j (δ j );

[0067] Decision value γ i Calculation: Take the product of ρ and δ as the decision value to measure, γ i =ρ i ×δ i , take the point with the largest decision value γ as the cluster center;

[0068] Draw a decision diagram: with ρ i As the horizontal axis, δ i As the vertical axis, draw a decision diagram;

[0069] Identification of cluster centers and noise points: Using the decision graph, ρ i and δ i The points with relatively high ρ are marked as cluster centers; i Relatively low but δ i Relatively high points are marked as noise points;

[0070] The step of calculating the statistics of the load in each cluster comprises:

[0071] Preprocess the load data of each distribution transformer, remove duplicate values ​​and outliers, insert missing values, and extract five daily characteristic values: load rate, daily peak-to-valley difference rate, peak load rate, normal load rate, and valley load rate; for each characteristic value, calculate its mean average load level, maximum peak load, minimum value, and standard deviation;

[0072] Load rate (L load rate ): , where data(i,:) represents the load data of the i-th user for one day;

[0073] Daily peak-to-valley difference rate (L peak-troogh ):

[0074] Peak load factor (L peak ):

[0075] Average load factor (L flat ):

[0076] Valley load rate (L valley ):

[0077] Remaining point allocation: allocate the remaining points. When allocating, assign each remaining point to the cluster where its nearest neighbor and the data point with greater density are located.

[0078] Domain boundary determination: After clustering is completed, we need to determine the safe operation domain boundary of each cluster. This step involves calculating the statistical data of the load in each cluster, including the mean and standard deviation, to ensure the reasonable division of the safety domain. By calculating the statistical characteristics of each cluster, we can more accurately determine the boundaries of the safety domain, thus providing a basis for subsequent optimization configuration.

[0079] Intra-domain optimization: Optimize the configuration of the loads in each safe operation domain. The purpose of this step is to ensure that the loads operating in the safe domain can achieve the optimal operating state, thereby improving the operating efficiency and safety of the entire distribution network. By optimizing the configuration, we can reduce unnecessary load fluctuations and improve the stability and reliability of the distribution network.

[0080] In addition, we also need to implement real-time monitoring and adjustments. This includes the following steps:

[0081] Monitoring data collection: Real-time collection of multi-level low-voltage distribution network operation data to ensure timely acquisition of the latest operating status information. Through real-time monitoring, we can quickly respond to any abnormal situation in the distribution network to ensure the stable operation of the system.

[0082] Operation status assessment: By analyzing the collected data, we can assess the operation status of the commercial load cluster to timely identify potential problems and risks. Through operation status assessment, we can identify potential safety hazards in advance and take corresponding preventive measures.

[0083] Domain adjustment strategy: Dynamically adjust the safe operation domain based on the evaluation results. This step ensures that the safe operation domain can be adjusted in a timely manner according to the actual operation situation to cope with various emergencies. Through dynamic adjustment, we can flexibly respond to various changes in the operation of the distribution network and ensure the safety and stability of the system.

[0084] Finally, we need to develop a safety early warning and control mechanism. This includes the following steps:

[0085] Early warning mechanism: Based on the division results of the safe operation domain, develop a corresponding early warning mechanism. This will help to discover potential safety hazards in advance so that corresponding preventive measures can be taken. Through the early warning mechanism, we can promptly notify relevant personnel and systems and take necessary countermeasures.

[0086] Control strategy: Based on the early warning results, develop corresponding control strategies. This will ensure that when potential safety hazards are discovered, effective control measures can be taken quickly to ensure the safe and stable operation of the distribution network. Through the control strategy, we can effectively respond to various emergencies and ensure the stable operation of the distribution network.

[0087] Through the above steps, we can effectively divide the commercial load clusters in the multi-level low-voltage distribution network into safe operation domains, thereby ensuring the safe and stable operation of the entire distribution network.

[0088] As a further solution of the present invention, the present invention also provides a device for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks, which applies the method for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks as described above.

[0089] As a further solution of the present invention, the present invention also provides a storage device storing computer program instructions, which, when executed, implement the method for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks as described above.

[0090] 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 features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

[0091] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks, characterized in that: The following steps are involved: Collecting operation data of multi-level low-voltage distribution networks; Analyze the power consumption characteristics of commercial load clusters; Define the safe operation domain of commercial load clusters according to the safe operation requirements of multi-level low-voltage distribution networks; Based on the collected operating data and power consumption characteristics analysis results, the commercial load cluster is divided into safe operating domains.

2. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 1 is characterized in that: The safe operation domain partitioning algorithm comprises the following steps: Clustering of commercial loads based on electricity usage characteristics; Determine the safe operating domain boundaries for each cluster; Optimize the load configuration within each safe operation domain.

3. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 2 is characterized in that: The real-time monitoring and adjustment includes the following steps: Real-time collection of operating data of multi-level low-voltage distribution networks; Evaluate the operating status of commercial load clusters; Adjust the safe operating domain based on the assessment results.

4. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 3 is characterized in that: The safety warning and control comprises the following steps: Early warning mechanism: Develop an early warning mechanism based on the results of safe operation domain division; Control strategy: Develop control strategies based on early warning results.

5. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to any one of claim 4, characterized in that: The collected operating data of the multi-level low-voltage distribution network includes voltage, current, power, and load distribution. The load characteristic analysis refers to the analysis of the power consumption characteristics of the commercial load cluster, including the type of load, power consumption period, and power consumption peak.

6. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 5 is characterized in that: The safe operation domain is specifically defined as follows: according to the safe operation requirements of the multi-level low-voltage distribution network, the safe operation domain of the commercial load cluster is defined. The safe operation domain includes the voltage safety domain and the power safety domain. The definitions of the voltage safety domain and the power safety domain are expressed by the following formula: Voltage safety domain: Vmin,i≤Vi,t≤Vmax,i, where Vmin,i and Vmax,i are the lower and upper limits of the voltage at node i, respectively; Power safety region: Pij,t≤Smax,ij, where Pij,t is the active power of line ij at time t, and Smax,ij is the upper limit of the apparent power of line ij.

7. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 6 is characterized in that: The safe operation domain division algorithm is specifically as follows: The commercial load clusters are clustered according to the electricity consumption characteristics, using an improved density peak clustering algorithm based on shared nearest neighbors; Determine the safe operation domain boundary of each cluster and calculate the load statistics in each cluster, including the mean and standard deviation; Optimize the load configuration within each safe operation domain.

8. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 7 is characterized in that: The improved shared neighbor-based density peak clustering algorithm specifically includes: (1) Calculate the distance D between any two data points in the data set n×n ={d ij } n×n ; (2) Calculate any data point x based on the cutoff distance i The local density ρ i ; (3) Calculate the closest distance δ to a higher density point i : For the local density peak point i, define δ i is: i =max i≠j (δ j ); (4) Decision value γ i Calculation: Take the product of ρ and δ as the decision value to measure, γ i =ρ i ×δ i , take the point with the largest decision value γ as the cluster center; (5) With ρ i As the horizontal axis, δ i As the vertical axis, draw a decision diagram; (6) Using the decision diagram, ρ i and δ i The points with relatively high ρ are marked as cluster centers; i Relatively low but δ i Relatively high points are marked as noise points; (7) Allocate the remaining points. When allocating, assign each remaining point to the cluster where its nearest neighbor with a greater density is located.

9. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 8 is characterized in that: The step of calculating the statistics of the load in each cluster comprises: Preprocess the load data of each distribution transformer, remove duplicate values ​​and outliers, insert missing values, and extract five daily characteristic values: load rate, daily peak-to-valley difference rate, peak load rate, normal load rate, and valley load rate; for each characteristic value, calculate its mean average load level, maximum peak load, minimum value, and standard deviation; Load factor Where data(i,:) represents the load data of the i-th user for one day; Daily peak-to-valley difference Peak load factor Average load factor Valley load factor 10. The method for dividing the safe operation domain of commercial load clusters for safe operation of multi-level low-voltage distribution networks according to claim 1, characterized in that: The following steps are also included: Implement real-time monitoring and dynamically adjust the safe operation domain according to actual operation conditions; Based on the division results of the safe operation domain, develop safety warning mechanisms and control strategies.

11. A device for dividing safe operation domains of commercial load clusters for safe operation of multi-level low-voltage distribution networks, characterized in that: A device using the method for dividing safe operation domains of commercial load clusters for safe operation of a multi-level low-voltage distribution network as described in any one of claims 1-10.

12. A computer storage device, characterized in that: Computer program instructions are stored, and when the computer program instructions are executed, the method for dividing the safe operation domain of commercial load clusters for the safe operation of a multi-level low-voltage distribution network as described in any one of claims 1-10 is implemented.

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