Reverse network planning method for urban power distribution network

Abstract

The invention discloses a reverse network planning method for an urban power distribution network, and belongs to the technical field of power network planning. In order to solve the problem that a complex and changeable power network has certain limitation, the method comprises the steps of data collection, model establishment, data calculation, structure optimization, scheme configuration and equipment debugging, by collecting power demand data, the power demand trend and the change rule in each region can be known, a reverse network model is established, and the power demand trend and the change rule in each region can be known. The network topology structure is optimized, the real operation condition of the power network can be reflected, the future power demand trend can be predicted, making of a more accurate and reliable power supply plan and making of a power equipment configuration scheme are facilitated, planning of the power network can be rapidly and accurately completed, the planning efficiency and accuracy are improved, and the method is suitable for popularization and application. And meanwhile, the method can adapt to a complex and changeable power network environment, can help formulate a more reasonable and economic scheduling scheme, optimizes power supply and distribution, and has relatively high flexibility and expandability.

Description

Technical Field

[0001] The present invention relates to the technical field of power network planning, and in particular to a reverse network planning method for a town distribution network. Background Art

[0002] Urban distribution network refers to the distribution network that directly supplies power to users within the urban area, including transformers, distribution lines, reactive power compensation devices and other equipment. Urban distribution network is an important part of the power system, and its planning and management play a vital role in ensuring the safety and reliability of users' electricity use. Reverse network planning refers to a method of optimizing and improving the existing network through reverse reasoning and optimization algorithms. In the urban distribution network, reverse network planning can determine the optimal network structure and equipment configuration by analyzing factors such as load distribution, power distribution and network topology, thereby improving power supply reliability and economy.

[0003] Reverse network planning of urban distribution networks is a planning method for distribution networks. Its goal is to optimize the network structure, improve power supply reliability and economy. It mainly considers factors such as load distribution, power distribution and network topology, and determines the optimal network structure and equipment configuration through reverse reasoning and optimization algorithms.

[0004] However, there are still the following problems in actual operation: Most of the existing power network planning methods are based on forward thinking, that is, starting from the power source and planning the network step by step, but this method often has certain limitations when facing complex and changeable power networks. Therefore, a new power network planning method is urgently needed to meet the needs of modern power network planning. Summary of the invention

[0005] The purpose of the present invention is to provide a reverse network planning method for urban distribution networks to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a reverse network planning method for a town distribution network, comprising the following steps: Data collection: Collecting the power demand data of towns as the basic data for reverse network planning, including the power consumption and power consumption time information of each area; Model establishment: establishing a reverse network model based on the collected power demand data, wherein the reverse network model includes power supply nodes, load nodes and network topology; Data calculation: Based on the established reverse network model, calculate the power demand of each area and determine the power supply priority of each area; Optimize the structure, optimize the network topology and determine the optimal network layout based on the calculated power demand and power supply priority; Solution configuration: formulate the configuration plan of power equipment according to the optimized network layout, including the configuration of transformers, switches, lines and other equipment; Equipment debugging: According to the formulated power equipment configuration plan, install and debug the power equipment and complete the planning of the power network.

[0007] Furthermore, the data collection specifically includes the following steps: Through data statistics of power companies or relevant departments, power companies or relevant departments regularly collect power demand data of power consumption and power consumption time information in various regions, and meet data collection needs by querying or purchasing the power demand data; Data is collected through smart meters, which collect information on power consumption and power consumption time in each area in real time, and transmit the data to the data center through the network for storage and analysis.

[0008] Furthermore, the model establishment specifically includes the following steps: Data processing: cleaning, sorting and analyzing the power demand data, extracting key information from the power demand data, including the power consumption characteristics of each region, peak power consumption period and power consumption time information; Node determination: determining the power supply nodes and load nodes in each area based on power demand data; Model establishment, based on the determined power nodes and load nodes, establish the network topology structure of the reverse network model. The network topology structure is modeled based on the actual power network structure and power transmission path, and determines the connection method and connection path of each node as well as the priority and weight parameters of each node.

[0009] Furthermore, the power supply nodes include generators and transformer equipment, the load nodes include various electrical appliances and mechanical equipment, and the power parameters of each node are modeled, and the power parameters include voltage, current, and power.

[0010] Furthermore, the data calculation specifically includes the following steps: Based on the electricity consumption characteristics, peak electricity consumption period and electricity consumption time information of each region, the average electricity consumption of each region is calculated; Combine the connection relationship and power parameters of each node in the reverse network model to predict the power demand in each region; The power supply priority of each region is determined based on the importance and power consumption of each region, the connection relationship and power parameters of the power nodes and load nodes in each region, and the reliability and economy of power supply.

[0011] Furthermore, the importance and electricity consumption of each area are used to help determine which areas need priority power supply to meet regional production and living needs. The connection relationship and power parameters of the power nodes and load nodes in each area are used to help determine the power supply reliability and economy of each area, and assist in determining the power supply priority of each area. The reliability and economy of power supply are used to determine the power supply priority of each area based on factors such as the cost, reliability and energy source of power supply.

[0012] Furthermore, the optimization structure specifically includes the following steps: Determine optimization goals based on information such as power consumption characteristics and power consumption time in each area, and the optimization goals include improving power supply reliability, reducing network losses, and improving energy utilization efficiency; Analyze the network structure, analyze the existing network structure, simulate the operation of the network through the reverse network model, and evaluate the advantages, disadvantages and existing problems of the existing network structure; Propose an optimization plan based on the analysis results of the network structure, which includes adding new power nodes or load nodes, changing the connection mode and connection path of existing nodes, and optimizing the network structure and equipment configuration; Evaluate the optimization scheme. Based on each proposed optimization scheme, simulate and evaluate it through the inverse network model, select the best scheme, and consider the factors that affect the evaluation results when evaluating the optimization scheme. The factors that affect the evaluation results include network loss, power supply reliability, and economic benefits. Implement the optimization plan and implement the optimized structure based on the final optimal plan.

[0013] Furthermore, in the process of implementing the optimization plan, the operation of the network is monitored and maintained in real time, problems are discovered and handled in a timely manner, the optimized network topology is monitored and maintained through the reverse network model and real-time monitoring system, and the operation of the network is regularly evaluated and adjusted.

[0014] Furthermore, the solution configuration specifically includes the following steps: Based on the power demand and power supply priority of each region, determine the type, specification and capacity of the power equipment to be configured; based on the network topology and connection relationship, determine the installation location and connection method of the power equipment; based on the performance parameters and actual needs of the power equipment, select the power equipment model and specifications that match the performance parameters and actual needs; based on the reliability and economy of the power equipment, select equipment with reliable quality and stable performance; and consider factors such as the purchase cost, operation and maintenance costs of the equipment. Based on the actual situation, conduct investment estimation and economic benefit analysis, and finally determine the power equipment configuration plan.

[0015] Furthermore, the device debugging specifically includes the following steps: Install and debug power equipment according to the formulated power equipment configuration plan; During the installation and commissioning process, it is necessary to inspect and test the installation location and line connections of the equipment to ensure that the power equipment can operate normally; After the installation and commissioning of the power equipment is completed, the planning of the entire power network is completed.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention establishes a reverse network model to determine the power supply priority of each area, which can better understand the power supply and demand situation of each area and avoid insufficient or excessive power supply. By determining the power supply priority, power resources can be more reasonably allocated to avoid waste and over-allocation of resources and achieve optimal utilization of resources. In the case of tight power supply, the power supply of important areas can be prioritized to avoid affecting important areas.

[0017] 2. The present invention optimizes the network topology and determines the optimal network layout based on the calculated power demand and power supply priority, which can reduce the probability of network failure and improve the stability and reliability of the network. By optimizing the network layout and structure, the power network can be easier to expand and upgrade, reducing the cost of future transformation and upgrading, improving the adaptability and flexibility of the network, making operations more efficient, reducing operating time and costs, and improving operational efficiency.

[0018] 3. The present invention formulates a configuration plan for power equipment based on the optimized network layout, which can avoid waste and over-configuration of resources. Through reasonable planning and configuration, it can achieve optimal utilization of resources and reduce investment costs and maintenance costs. Optimizing the network layout can reduce the probability of network failures and improve network stability and reliability. A reasonable power equipment configuration plan can further enhance the reliability of power supply and ensure continuous power supply in various regions. Selecting equipment with reliable quality and stable performance can reduce network losses and improve energy utilization efficiency. Through investment estimation and economic benefit analysis, it can reduce investment costs, increase investment return rate, and improve the economic benefits of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0021] In order to solve the technical problem that most of the existing power network planning methods are based on forward thinking, that is, starting from the power source and planning the network step by step, but this method often has certain limitations when facing complex and changeable power networks, please refer to Figure 1 , the present invention provides the following technical solutions: A reverse network planning method for a town distribution network comprises the following steps: Data collection: Collecting the power demand data of towns as the basic data for reverse network planning, including the power consumption and power consumption time information of each area; The data collection process also includes the following steps: Through data statistics of power companies or relevant departments, power companies or relevant departments regularly collect power demand data of power consumption and power consumption time information in various regions, and meet data collection needs by querying or purchasing the power demand data; Data is collected through smart meters, which collect information on power consumption and power consumption time in each area in real time, and transmit the data to the data center through the network for storage and analysis.

[0022] Specifically, by collecting electricity demand data from towns and cities, we can understand the trends and changes in electricity demand in each region, help establish a reverse network model, and thus better plan the layout and scale of the power network, help formulate more reasonable and economical scheduling plans, optimize power supply and distribution, and meet future electricity demand.

[0023] Model establishment: establishing a reverse network model based on the collected power demand data, wherein the reverse network model includes power supply nodes, load nodes and network topology; The model building specifically includes the following steps: Data processing: cleaning, sorting and analyzing the power demand data, extracting key information from the power demand data, including the power consumption characteristics of each region, peak power consumption period and power consumption time information; Node determination: determine the power supply nodes and load nodes of each area based on the power demand data. The power supply nodes include generators and transformers, and the load nodes include various electrical appliances and mechanical equipment. Model the power parameters of each node, including voltage, current, and power. Model establishment, based on the determined power nodes and load nodes, establish the network topology structure of the reverse network model. The network topology structure is modeled based on the actual power network structure and power transmission path, and determines the connection method and connection path of each node as well as the priority and weight parameters of each node.

[0024] Specifically, by establishing a reverse network model, the actual operation status of the power network can be reflected, which can be used to predict future power demand trends, help formulate more accurate and reliable power supply plans, avoid undersupply or oversupply, and provide more accurate and powerful support to decision makers, assist in optimizing network layout, and formulate power equipment configuration plans.

[0025] Data calculation: Based on the established reverse network model, calculate the power demand of each area and determine the power supply priority of each area; The data calculation specifically includes the following steps: Based on the electricity consumption characteristics, peak electricity consumption period and electricity consumption time information of each region, the average electricity consumption of each region is calculated; Combine the connection relationship and power parameters of each node in the reverse network model to predict the power demand in each region; The power supply priority of each region is determined based on the importance and power consumption of each region, the connection relationship and power parameters of the power nodes and load nodes in each region, and the reliability and economy of power supply. The importance and power consumption of each region are used to help determine which regions need priority power supply to meet regional production and living needs. The connection relationship and power parameters of the power nodes and load nodes in each region are used to help determine the reliability and economy of power supply in each region, and assist in determining the power supply priority of each region. The reliability and economy of power supply are used to determine the power supply priority of each region based on factors such as the cost, reliability and energy source of power supply.

[0026] Specifically, by calculating the electricity demand in each region, we can better understand the electricity supply and demand situation in each region and avoid insufficient or excessive electricity supply. By determining the power supply priority, we can more reasonably allocate power resources, avoid waste and over-allocation of resources, and achieve optimal utilization of resources. In the case of tight power supply, we can give priority to ensuring the power supply of important areas to avoid affecting important areas.

[0027] Optimize the structure, optimize the network topology and determine the optimal network layout based on the calculated power demand and power supply priority; The optimization structure specifically includes the following steps: Determine optimization goals based on information such as power consumption characteristics and power consumption time in each area, and the optimization goals include improving power supply reliability, reducing network losses, and improving energy utilization efficiency; Analyze the network structure, analyze the existing network structure, simulate the operation of the network through the reverse network model, and evaluate the advantages, disadvantages and existing problems of the existing network structure; Propose an optimization plan based on the analysis results of the network structure, which includes adding new power nodes or load nodes, changing the connection mode and connection path of existing nodes, and optimizing the network structure and equipment configuration; Evaluate the optimization scheme. Based on each proposed optimization scheme, simulate and evaluate it through the inverse network model, select the best scheme, and consider the factors that affect the evaluation results when evaluating the optimization scheme. The factors that affect the evaluation results include network loss, power supply reliability, and economic benefits. Implement the optimization plan, implement the optimization structure based on the final optimal plan, monitor and maintain the operation of the network in real time during the implementation of the optimization plan, discover and handle problems in a timely manner, monitor and maintain the optimized network topology structure through the reverse network model and real-time monitoring system, and regularly evaluate and adjust the operation of the network.

[0028] Specifically, by optimizing the network topology and determining the optimal network layout, the probability of network failure can be reduced and the stability and reliability of the network can be improved. By optimizing the network layout and structure, the power network can be easier to expand and upgrade, reducing the cost of future transformation and upgrades, improving the adaptability and flexibility of the network, making operations more efficient, reducing operating time and costs, and improving operational efficiency.

[0029] Solution configuration: formulate the configuration plan of power equipment according to the optimized network layout, including the configuration of transformers, switches, lines and other equipment; The solution configuration also includes the following steps: Based on the power demand and power supply priority of each region, determine the type, specification and capacity of the power equipment to be configured; based on the network topology and connection relationship, determine the installation location and connection method of the power equipment; based on the performance parameters and actual needs of the power equipment, select the power equipment model and specifications that match the performance parameters and actual needs; based on the reliability and economy of the power equipment, select equipment with reliable quality and stable performance; and consider factors such as the purchase cost, operation and maintenance costs of the equipment. Based on the actual situation, conduct investment estimation and economic benefit analysis, and finally determine the power equipment configuration plan.

[0030] Specifically, by formulating a configuration plan for power equipment based on the optimized network layout, we can avoid waste and over-configuration of resources. Through reasonable planning and configuration, we can achieve optimal utilization of resources and reduce investment and maintenance costs. Optimizing the network layout can reduce the probability of network failures and improve network stability and reliability. A reasonable power equipment configuration plan can further enhance the reliability of power supply and ensure continuous power supply in various regions. Choosing equipment with reliable quality and stable performance can reduce network losses and improve energy utilization efficiency. Through investment estimation and economic benefit analysis, we can reduce investment costs, increase the rate of return on investment, and improve the economic benefits of power supply.

[0031] Equipment debugging: according to the formulated power equipment configuration plan, install and debug the power equipment and complete the planning of the power network; Equipment debugging also includes the following steps: Install and debug power equipment according to the formulated power equipment configuration plan; During the installation and commissioning process, it is necessary to inspect and test the installation location and line connections of the equipment to ensure that the power equipment can operate normally; After the installation and commissioning of the power equipment, the planning of the entire power network is completed. Specifically, by installing and debugging power equipment according to the formulated power equipment configuration plan, the probability of failure can be reduced, the stability and reliability of the network can be improved, thereby reducing network losses, improving energy utilization efficiency, and reducing investment costs and maintenance costs. At the same time, by optimizing resource allocation and utilization, investment costs can be reduced and the rate of return on investment can be improved.

[0032] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A reverse network planning method for urban distribution network, characterized in that: The steps include: Data collection: Collecting the power demand data of towns as the basic data for reverse network planning, including the power consumption and power consumption time information of each area; Model establishment: establishing a reverse network model based on the collected power demand data, wherein the reverse network model includes power supply nodes, load nodes and network topology; Data calculation: Based on the established reverse network model, calculate the power demand of each area and determine the power supply priority of each area; Optimize the structure, optimize the network topology and determine the network layout based on the calculated power demand and power supply priority; Solution configuration: formulate the configuration plan of power equipment according to the optimized network layout, including the configuration of transformers, switches and lines; Equipment debugging: According to the formulated power equipment configuration plan, install and debug the power equipment and complete the planning of the power network.

2. A method for reverse network planning of a town distribution network as claimed in claim 1, characterized in that: The data collection specifically includes the following steps: Through data statistics of power companies or relevant departments, power companies or relevant departments regularly collect power demand data of power consumption and power consumption time information in various regions, and meet data collection needs by querying or purchasing the power demand data; Data is collected through smart meters, which collect information on power consumption and power consumption time in each area in real time, and transmit the data to the data center through the network for storage and analysis.

3. A method for reverse network planning of a town distribution network as claimed in claim 1, characterized in that: The model establishment specifically includes the following steps: Data processing: cleaning, sorting and analyzing the power demand data, extracting key information from the power demand data, including the power consumption characteristics of each region, peak power consumption period and power consumption time information; Node determination: determining the power supply nodes and load nodes in each area based on power demand data; Model establishment, based on the determined power nodes and load nodes, establish the network topology structure of the reverse network model. The network topology structure is modeled based on the actual power network structure and power transmission path, and determines the connection method and connection path of each node as well as the priority and weight parameters of each node.

4. A method for reverse network planning of a town distribution network as claimed in claim 3, characterized in that: The power supply nodes include generators and transformer equipment, and the load nodes include various electrical appliances and mechanical equipment. The power parameters of each node are modeled, and the power parameters include voltage, current, and power.

5. A method for reverse network planning of a town distribution network as claimed in claim 1, characterized in that: The data calculation specifically includes the following steps: Based on the electricity consumption characteristics, peak electricity consumption period and electricity consumption time information of each region, the average electricity consumption of each region is calculated; Combine the connection relationship and power parameters of each node in the reverse network model to predict the power demand in each region; The power supply priority of each region is determined based on the importance and power consumption of each region, the connection relationship and power parameters of the power nodes and load nodes in each region, and the reliability and economy of power supply.

6. A method for reverse network planning of a town distribution network as claimed in claim 5, characterized in that: The importance and electricity consumption of each area are used to determine the areas that need priority power supply to meet the regional production and living needs. The connection relationship and power parameters of the power nodes and load nodes in each area assist in determining the power supply priority of each area, the reliability and economy of the power supply, and are used to determine the power supply priority of each area based on the cost, reliability and energy source of the power supply.

7. A method for reverse network planning of a town distribution network as claimed in claim 1, characterized in that: The optimization structure specifically includes the following steps: Determine optimization goals based on the power consumption characteristics and power consumption time of each area, and the optimization goals include improving power supply reliability, reducing network losses, and improving energy utilization efficiency; Analyze the network structure, analyze the existing network structure, simulate the operation of the network through the reverse network model, and evaluate the advantages, disadvantages and existing problems of the existing network structure; Propose an optimization plan based on the analysis results of the network structure, which includes adding new power nodes or load nodes, changing the connection mode and connection path of existing nodes, and optimizing the network structure and equipment configuration; Evaluate the optimization scheme. Based on each proposed optimization scheme, simulate and evaluate it through the inverse network model, select the best scheme, and consider the factors that affect the evaluation results when evaluating the optimization scheme. The factors that affect the evaluation results include network loss, power supply reliability, and economic benefits. Implement the optimization plan and implement the optimized structure based on the final optimal plan.

8. A method for reverse network planning of a town distribution network as claimed in claim 7, characterized in that: During the implementation of the optimization plan, the network operation status is monitored and maintained in real time, problems are discovered and handled, the optimized network topology is monitored and maintained through the reverse network model and real-time monitoring system, and the network operation status is regularly evaluated and adjusted.

9. A method for reverse network planning of a town distribution network as claimed in claim 1, characterized in that: The scheme configuration specifically includes the following steps: Based on the power demand and power supply priority of each region, determine the type, specification and capacity of the power equipment to be configured; based on the network topology and connection relationship, determine the installation location and connection method of the power equipment; based on the performance parameters and actual needs of the power equipment, select the power equipment model and specifications that match the performance parameters and actual needs; select equipment with reliable quality and stable performance; and consider the purchase cost, operation and maintenance costs of the equipment. Based on the actual situation, conduct investment estimation and economic benefit analysis, and finally determine the power equipment configuration plan.

10. A method for reverse network planning of a town distribution network according to claim 1, characterized in that: The equipment debugging specifically also includes the following steps: Install and debug power equipment according to the formulated power equipment configuration plan; During the installation and commissioning process, the installation location and line connections of the equipment are inspected and tested to ensure that the power equipment can operate normally; After the installation and commissioning of the power equipment is completed, the planning of the entire power network is completed.

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