A power line resource allocation optimization system and method

Abstract

The present invention provides a power dedicated line resource allocation optimization system and method, the allocation optimization system includes a data acquisition module, a control module and a data analysis module, and the data acquisition module and the data analysis module are connected to the control module. The allocation optimization method specifically collects the power grid data of each power dedicated line first, then establishes a power dedicated line evaluation index system, and then evaluates the energy efficiency according to the power dedicated line evaluation index system to obtain the potential elasticity coefficient of each power dedicated line. Finally, the control module accepts the application request of the power dedicated line user, and then collects and analyzes the user electricity consumption data of the power dedicated line user. The control module formulates a power dedicated line resource planning optimization plan based on the analysis results. The power dedicated line resource allocation optimization system and method provided by the present invention utilizes the existing power dedicated line resources to meet the needs of power dedicated line users, improves the efficiency of solving the power dedicated line user requests, and improves the utilization rate of the power dedicated line.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power dispatching, and in particular to a power dedicated line resource allocation optimization system and method. Background Art

[0002] As people's living standards continue to improve, users' demand for loads is also increasing year by year, and the scale of power construction and investment is also increasing. At present, power users can be divided into public line users and dedicated line users. The time and amount of demand for power supply by dedicated line users will change with user needs. If the existing dedicated power lines that provide power to dedicated line users cannot meet their needs, dedicated line users will inevitably apply for new dedicated power line resources. The common solution to the requests of dedicated line users is to build new dedicated power lines to provide dedicated line users with use. However, rebuilding one or more new dedicated power lines requires a lot of time and resources. For some dedicated line users with urgent needs, this solution is difficult to meet their needs. When formulating plans for the requests of dedicated line users, existing dedicated power line resources are often ignored. Existing dedicated power lines often only provide power supply services for individual dedicated line users. However, due to the different power supply needs of dedicated line users, if the power supply demand of dedicated line users is not high, the utilization rate of the corresponding dedicated power line is also low, and a large amount of dedicated power line resources are wasted. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a power line resource allocation optimization system and method.

[0004] The purpose of the present invention is achieved through the following technical solutions:

[0005] A method for optimizing power line resource allocation includes the following steps:

[0006] Step 1: The data acquisition module collects the grid data of each power line, and the data acquisition module stores the collected grid data in a real-time power line grid data storage unit;

[0007] Step 2: The data analysis module establishes an evaluation index system for dedicated power lines. The data analysis module uses the evaluation index system for dedicated power lines to evaluate the energy efficiency of each dedicated power line based on the grid data, and obtains the potential elasticity coefficient corresponding to each dedicated power line. The control module gives priority to dedicated power lines with high potential elasticity coefficients when allocating dedicated power line resources.

[0008] Step three, the control module accepts the application request of the power dedicated line user, the control module controls the data acquisition module to collect the user electricity consumption data of the power dedicated line user and stores it in the user electricity consumption data storage unit, the control module then controls the data analysis module to analyze the user electricity consumption data in the user electricity consumption data storage unit, the control module determines the number of power dedicated lines allocated to the power dedicated line user according to the analysis results, the control module selects the corresponding power dedicated line according to the number of power dedicated lines, and formulates a power dedicated line resource planning optimization plan based on the selected power dedicated line.

[0009] Integrate existing power line resources and invest them in solutions to power line user application requests. There is no need to build new power lines, reduce resource waste caused by building new power line resources, and improve the efficiency of solving power line user application requests. Evaluate existing power line resources, obtain the utilization potential of power resources, provide a basis for judgment for subsequent power line allocation and selection, and then select appropriate power lines according to the needs of power line users and formulate power line resource planning optimization plans. Make full use of existing dedicated line resources to improve the utilization rate of existing power line resources.

[0010] Furthermore, the specific process of establishing the dedicated line evaluation index system described in step 2 is: selecting the evaluation index of the power dedicated line, then setting the weight of each evaluation index when calculating and analyzing the evaluation results, and finally formulating the indicator scoring regulations corresponding to each evaluation index.

[0011] Corresponding evaluation standards are formulated for the allocation and utilization potential of dedicated power lines. The potential of dedicated power lines is evaluated according to the formulated evaluation standards, and the allocation and utilization potential of dedicated power lines is accurately obtained. When the dedicated power line resource planning optimization plan is subsequently formulated, suitable dedicated power lines can be obtained more quickly and efficiently.

[0012] Furthermore, the evaluation indicators of the dedicated power line include the operating life of the dedicated power line, operating safety index, power supply demand and corridor value.

[0013] The potential elasticity coefficient obtained by evaluating the operating life, operating safety index, power supply demand and corridor value of the power line can effectively reflect the power supply capacity of the power line and the hidden resources that can be allocated and optimized.

[0014] Furthermore, the user electricity consumption data includes the capacity of the user's power equipment, demand coefficient, and saturated load verification and reported capacity.

[0015] By analyzing the users' electricity consumption data, we can obtain the demand for dedicated power lines from users, and formulate optimization plans for dedicated power lines based on the demand to further improve the planning efficiency.

[0016] Furthermore, in step three, before the control module formulates a dedicated power line resource allocation plan based on the analysis results and the potential elasticity coefficient of the dedicated power line, the control module first screens the dedicated power lines. The control module screens out dedicated power lines whose actual usage capacity is less than 50% of the maximum transmission capacity of the conductor based on the potential elasticity coefficient. The control module builds a dedicated line resource library based on the screened dedicated power lines. The control module selects the dedicated power lines to be used from the dedicated line resource library when formulating the dedicated power line resource allocation plan.

[0017] Since the allocation of existing power dedicated line resources needs to be based on the premise of not affecting the existing work of the power dedicated lines, only power dedicated lines with actual usage capacity below 50% of the maximum transmission capacity of the conductors are selected for planning to avoid affecting the operation of the existing power system.

[0018] Furthermore, the power dedicated line resource planning optimization scheme described in step three includes dedicated line interval optimization merging, load peak shifting dedicated line line optimization and dedicated line resource sharing.

[0019] Since the application requests of each line and each dedicated power line user are different, a dedicated power line resource planning optimization plan is formulated according to the specific situation to ensure that the needs of dedicated power line users can be met through the reasonable allocation of dedicated power line resources. In addition, the situation of the dedicated power lines used in each dedicated power line resource planning optimization plan is different, so according to the situation of the dedicated power lines, the application requests of dedicated power line users are met by optimizing and merging dedicated line intervals, optimizing dedicated lines for load shifting, or sharing dedicated line resources.

[0020] Furthermore, after obtaining the potential elasticity coefficient of the power line in step 2, the data analysis module also compares the potential elasticity coefficient value of each power line with a preset classification threshold range, and the data analysis module obtains the category corresponding to each power line based on the comparison result.

[0021] After the power dedicated lines are classified, when the power dedicated line resource planning optimization plan is subsequently formulated, the plan can be formulated according to the classification level of the power dedicated lines to improve the efficiency of plan formulation.

[0022] A power dedicated line resource allocation optimization system includes a data acquisition module, a control module and a data analysis module, wherein the data acquisition module and the data analysis module are both connected to the control module, the data acquisition module is used to collect power grid data of the power dedicated line and user electricity consumption data of users who apply for the power dedicated line, the control module is used to formulate a power dedicated line resource planning optimization plan, and the data analysis module is used to analyze the power grid data of the power dedicated line and user electricity consumption data of users who apply for the power dedicated line.

[0023] Furthermore, a power dedicated line resource allocation optimization system also includes a real-time power dedicated line grid data storage unit and a user electricity usage data storage unit. The real-time power dedicated line grid data storage unit is used to store the grid data of the power dedicated line, and the user electricity usage data is used to store the user electricity usage data of the power dedicated line applicant.

[0024] The beneficial effects of the present invention are:

[0025] By integrating the power line resources and utilizing the existing power line resources to meet the needs of the power line users, the utilization rate of the existing power line is improved, and the efficiency of solving the requests of the power line users is also improved. In addition, a corresponding power line evaluation index system is formulated according to the power grid data of the power line. The potential elasticity coefficient of the power line is calculated through the power line evaluation index system. When the power resource planning optimization plan is formulated in the future, the power line with a high potential elasticity coefficient is given priority, and the power line that meets the application request of the power line user can be selected more efficiently. At the same time, the power lines are classified, and the specific content of the power resource planning optimization plan is formulated according to the category, and the efficiency of the plan formulation is further improved. The formulated power line resource planning optimization plan makes full use of the existing power line resources. Since the planned objects are all existing power lines, there is no need to build new power lines, which reduces the waste of resources caused by the construction of new power lines. Compared with the construction of new power lines, the use of existing power line resources for planning reduces the difficulty of planning and also improves the construction speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural schematic diagram of the present invention;

[0027] Figure 2 It is a schematic diagram of a process of the present invention;

[0028] Among them: 1. Data acquisition module, 2. Control module, 3. Data analysis module, 4. Real-time power dedicated line grid data storage unit, 5. User power consumption data storage unit. DETAILED DESCRIPTION

[0029] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0030] Example:

[0031] A method for optimizing power line resource allocation, such as Figure 1 As shown, the following steps are included:

[0032] Step 1: the data acquisition module 1 acquires the grid data of each power line, and the data acquisition module 1 stores the acquired grid data in the real-time power line grid data storage unit 4;

[0033] Step 2: The data analysis module 3 establishes an evaluation index system for electric power dedicated lines. The data analysis module 3 evaluates the energy efficiency of each electric power dedicated line according to the grid data of each electric power dedicated line through the evaluation index system for electric power dedicated lines, and obtains the potential elasticity coefficient corresponding to each electric power dedicated line. The control module 2 gives priority to electric power dedicated lines with high potential elasticity coefficients when allocating electric power dedicated line resources.

[0034] Step three, the control module 2 accepts the application request of the power dedicated line user, the control module 2 controls the data acquisition module 1 to collect the user electricity consumption data of the power dedicated line user and stores it in the user electricity consumption data storage unit 5, the control module 2 then controls the data analysis module 3 to analyze the user electricity consumption data in the user electricity consumption data storage unit 5, the control module 2 determines the number of power dedicated lines allocated to the power dedicated line user according to the analysis results, the control module 2 selects the corresponding power dedicated line according to the number of power dedicated lines, and formulates a power dedicated line resource planning optimization plan based on the selected power dedicated line.

[0035] The specific process of establishing the dedicated line evaluation index system described in step 2 is: selecting the evaluation index of the power dedicated line, then setting the weight of each evaluation index when calculating and analyzing the evaluation results, and finally formulating the index scoring regulations corresponding to each evaluation index.

[0036] The evaluation indicators of the power line include the operating life of the power line, the operating safety index, the power supply demand and the corridor value. The operating life of the power line accounts for 10%, the operating safety index accounts for 50%, the power supply demand accounts for 30%, and the corridor value accounts for 10%.

[0037] According to the evaluation results, the potential elasticity coefficient value of the power line can be obtained. The calculation formula of the potential elasticity coefficient of the power line is as follows:

[0038]

[0039] Among them: V is the potential elasticity coefficient; A is the operating life, Au is the service life of the dedicated power line, and Ad is the expected service life of the dedicated power line; S is the operating safety index, Sv is the annual average operating load of the dedicated power line, and Sm is the maximum allowable load of the dedicated power line; N is the power supply demand, η1 is the load growth rate of the area where the dedicated power line belongs, Gn is the available dedicated line interval near the dedicated power line, and Ac is the open capacity of the nearby co-line; G is the corridor value, Gl1 is the power supply radius of the dedicated power line, k1 is the land price coefficient of the location of the dedicated power line, and Gs is the number of dedicated power lines.

[0040] The user electricity consumption data includes the user's power equipment capacity, demand coefficient, and saturated load verification and reporting capacity.

[0041] In step three, before the control module 2 formulates the power dedicated line resource allocation plan based on the analysis results and the potential elasticity coefficient of the power dedicated line, the control module 2 first screens the power dedicated lines. The control module 2 selects the power dedicated lines whose actual usage capacity is less than 50% of the maximum transmission capacity of the conductor based on the potential elasticity coefficient. The control module 2 builds a dedicated line resource library based on the screened power dedicated lines. The control module 2 selects the power dedicated lines to be used from the dedicated line resource library when formulating the power dedicated line resource allocation plan.

[0042] The power dedicated line resource planning optimization plan described in step three includes dedicated line interval optimization merging, load peak dedicated line line optimization and dedicated line resource sharing.

[0043] After obtaining the potential elasticity coefficient of the power line in step 2, the data analysis module 3 also compares the potential elasticity coefficient value of each power line with the preset classification threshold interval, and the data analysis module 3 obtains the category corresponding to each power line according to the comparison result. The power lines are classified into Class A, Class B, Class C and Class D, and the corresponding planning schemes are determined according to the different levels. When formulating the planning scheme, the power lines of Class A or B are given priority. Since the geographical location of the power lines is fixed, when selecting the power lines for planning optimization, due to the limitation of the geographical location, the power lines of Class C or D will be used, so different planning schemes are formulated for each level of power lines.

[0044] A power line resource allocation optimization system, such as Figure 2 As shown, it includes a data acquisition module 1, a control module 2, a data analysis module 3, a real-time dedicated power line grid data storage unit 4 and a user power consumption data storage unit 5. The data acquisition module 1 and the data analysis module 3 are both connected to the control module 2. The data acquisition module 1 is used to collect the grid data of the dedicated power line and the user power consumption data of the users who apply for the dedicated power line. The control module 2 is used to formulate a dedicated power line resource planning optimization plan. The data analysis module 3 is used to analyze the grid data of the dedicated power line and the user power consumption data of the users who apply for the dedicated power line.

[0045] The real-time dedicated power line grid data storage unit 4 is used to store the grid data of the dedicated power line, and the user power consumption data is used to store the user power consumption data of the user who applied for the dedicated power line.

[0046] The main content of the dedicated line interval optimization merger is to prompt the utilization efficiency of dedicated line interval resources by converting dedicated lines into public lines. The dedicated line interval optimization is also divided into two categories. The first category is for dedicated lines with high regional load growth rate, insufficient nearby open capacity, current load and saturation load not greater than 4M and rated A or B. Converting such dedicated lines into public lines can alleviate the problem of insufficient power supply capacity in the region, improve power supply reliability and further utilize power dedicated line resources. Taking the old substations 110kV Lianhua Substation and 110kV Shanghua Substation located in the east and north of Lanxi City as examples, these two substations are important components of the main power supply in the urban area, but there are problems such as tight spatial layout and heavy load. According to the evaluation results and factors such as geographical location, Zili Copper Industry, Lanxi Cotton Textile Factory, and Thermal Power Dedicated Line are selected as pre-selected planning objects. By calculating the potential elasticity coefficients of these three dedicated lines, it can be known that the categories of Zili Copper Industry's corresponding dedicated line, Lanxi Cotton Textile Factory's corresponding dedicated line and thermal power dedicated line are Class A, Class B, and Class A respectively. Finally, through planning and prediction, the thermal power line was selected for public line conversion, effectively releasing corridor land and tower functional resources, and improving the regional public power supply capacity. This case is to connect the existing 10kV line in the public distribution network to improve the power supply capacity of the public distribution network, thereby improving its power supply reliability.

[0047] The second category is for some 10kV dedicated line users who are close in distance and face the problem of interval resource shortage. After the saturated load calculation, the 10kV dedicated line users can be connected to the 10kV dedicated line with fewer loops. Then, they can consider the nearest rectification and solve the problem of interval shortage by directly connecting to the 10kV dedicated line with a close distance, that is, to transform all 10kV dedicated lines into 10kV public lines. It is only necessary to add a switch station on the user side to connect to the 10kV dedicated line users. Taking the Liudongshan substation and Shanghua substation as examples, there is a shortage of interval resources. Considering factors such as geographical location, the 110kV Liudongshan substation with higher dedicated line corridor value and the 10kV Xinyuan user dedicated line are converted into a 10kV public line.

[0048] The dedicated line sharing is mainly achieved by allocating low-efficiency power dedicated lines to power dedicated line users with capacity expansion requirements for common use. Taking the 110kV Yongchang substation as an example, the 110kV Yongchang substation received a capacity expansion requirement from the 10kV Xinhai dedicated line user, but the 110kV Yongchang substation has no outgoing line interval, so the 10kV Zhulin dedicated line adjacent to the Yongchang substation was selected from the dedicated line resource library. The 10kV Zhulin dedicated line is a Class B dedicated line, and the 10kV Zhulin dedicated line is converted into a public line to access the 10kV Xinhai dedicated line. By sharing the 10kV Zhulin dedicated line, the efficiency of the 10kV Zhulin dedicated line is improved while meeting the capacity expansion requirements of the 10kV Xinhai dedicated line users.

[0049] The optimization of load peak-shifting dedicated lines is mainly to optimize the line interval by utilizing the load time difference of different power dedicated lines. Taking the 110 kV Gongtang to 10 kV Hongshi line and the 110 kV Gongtang to 10 kV Shangyi line as examples, the 10 kV Hongshi line is an industrial power supply line with a very high load during the day, and the load carrying capacity can reach 80%, while the load becomes very low at night, and only needs to provide the load required to maintain the no-load operation of the machine, and the load carrying capacity is 20%; while the 10 kV Shangyi line mainly bears residential electricity consumption, and the lighting and heating loads are very high at night, and the load carrying capacity is almost 10 0%, while it is relatively low during the day, with the load carrying capacity being only 40%. Both power lines have extremely high load demands during peak load periods but low load demands during low load periods. There are a large number of potential power resources. Therefore, the two dedicated power lines are integrated. During the day, the 10kV Hongshi Line and the 10kV Shangyi Line are used for industrial power supply, while at night, the 10kV Hongshi Line and the 10kV Shangyi Line are used for residential power supply, which reduces the power supply pressure of the 10kV Hongshi Line and makes rational use of the dedicated power line resources during the low load period.

[0050] The above-described embodiment is only a preferred solution of the present invention and does not limit the present invention in any form. There are other variations and modifications without exceeding the technical solution described in the claims.

Claims

1. A method for optimizing power line resource allocation, characterized in that: The following steps are involved: Step 1: the data acquisition module (1) acquires the grid data of each dedicated power line, and the data acquisition module (1) stores the acquired grid data in the real-time dedicated power line grid data storage unit (4); Step 2: The data analysis module (3) establishes an evaluation index system for dedicated power lines. The data analysis module (3) uses the evaluation index system for dedicated power lines to evaluate the energy efficiency of each dedicated power line based on the grid data of each dedicated power line, and obtains the potential elasticity coefficient corresponding to each dedicated power line. The control module (2) gives priority to dedicated power lines with high potential elasticity coefficients when allocating dedicated power line resources. Step 3: The control module (2) accepts the application request of the dedicated power line user, the control module (2) controls the data collection module (1) to collect the user power consumption data of the dedicated power line user and stores it in the user power consumption data storage unit (5), the control module (2) then controls the data analysis module (3) to analyze the user power consumption data in the user power consumption data storage unit (5), the control module (2) determines the number of dedicated power lines corresponding to the dedicated power line user according to the analysis result, the control module (2) selects the corresponding dedicated power line according to the number of dedicated power lines, and formulates a dedicated power line resource planning optimization plan according to the selected dedicated power line; the evaluation indicators of the dedicated power line include the operating life of the dedicated power line, the operating safety index, the power supply demand and the corridor value; The calculation formula of the potential elasticity coefficient of the power line is as follows: Among them: V is the potential elasticity coefficient; A is the operating life, Au is the service life of the dedicated power line, and Ad is the expected service life of the dedicated power line; S is the operating safety index, Sv is the annual average operating load of the dedicated power line, and Sm is the maximum allowable load of the dedicated power line; N is the power supply demand, η1 is the load growth rate of the area to which the dedicated power line belongs, Gn is the available dedicated line interval near the dedicated power line, and Ac is the open capacity of the nearby co-line; G is the corridor value, Gl1 is the power supply radius of the dedicated power line, k1 is the land price coefficient of the location of the dedicated power line, and Gs is the number of dedicated power lines; In step 3, before the control module (2) formulates a dedicated power line resource allocation plan based on the analysis results and the potential elasticity coefficient of the dedicated power line, the control module (2) first screens the dedicated power lines. The control module (2) screens out dedicated power lines whose actual usage capacity is less than 50% of the maximum transmission capacity of the conductor based on the potential elasticity coefficient. The control module (2) builds a dedicated line resource library based on the screened dedicated power lines. The control module (2) selects the dedicated power lines to be used from the dedicated line resource library when formulating the dedicated power line resource allocation plan.

2. A method for optimizing power line resource allocation according to claim 1, characterized in that: The specific process of establishing the power line evaluation index system described in step 2 is: select the evaluation index of the power line, then set the weight of each evaluation index when calculating and analyzing the evaluation results, and finally formulate the index scoring regulations corresponding to each evaluation index.

3. The method for optimizing power line resource allocation according to claim 1, characterized in that: The user electricity consumption data includes the user's power equipment capacity, demand coefficient, and saturated load verification and reporting capacity.

4. The method for optimizing power line resource allocation according to claim 1, characterized in that: The power dedicated line resource planning optimization plan described in step three includes dedicated line interval optimization merging, load peak dedicated line line optimization and dedicated line resource sharing.

5. The method for optimizing power line resource allocation according to claim 1, characterized in that: After obtaining the potential elasticity coefficient of the power line in step 2, the data analysis module (3) further compares the potential elasticity coefficient value of each power line with a preset classification threshold interval, and the data analysis module (3) obtains the category corresponding to each power line based on the comparison result.

6. A power line resource allocation optimization system, used to execute a power line resource allocation optimization method according to any one of claims 1 to 5, characterized in that: The invention comprises a data acquisition module (1), a control module (2) and a data analysis module (3), wherein the data acquisition module (1) and the data analysis module (3) are both connected to the control module (2), the data acquisition module (1) is used to acquire power grid data of a dedicated power line and user power consumption data of users who apply for the dedicated power line, the control module (2) is used to formulate a power dedicated line resource planning optimization plan, and the data analysis module (3) is used to analyze the power grid data of the dedicated power line and user power consumption data of users who apply for the dedicated power line.

7. A power line resource allocation optimization system according to claim 6, characterized in that: It also includes a real-time dedicated power line grid data storage unit (4) and a user power consumption data storage unit (5), wherein the real-time dedicated power line grid data storage unit (4) is connected to the data acquisition module (1) and the data analysis module (3) at the same time, and the real-time dedicated power line grid data storage unit (4) is used to store dedicated power line grid data; the user power consumption data storage unit (5) is connected to the data acquisition module (1) and the data analysis module (3) at the same time, and the user power consumption data is used to store user power consumption data of dedicated power line users.

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