A power distribution primary and secondary collaborative economy planning method oriented to energy-control-information flow

Abstract

The present application relates to power distribution system planning technical field, specifically disclose a kind of energy-control-information flow-oriented power distribution primary-secondary collaborative economy planning method, comprising: based on power supply area division, generate at least one feasible primary planning scheme, and the power supply area level in each feasible primary planning scheme is quantitatively characterized;Establish primary system cost evaluation model, calculate the primary planning cost of each feasible primary planning scheme;For each feasible primary planning scheme, according to the communication service quality requirement corresponding to the control demand of each power supply area, determine the secondary planning scheme that makes the secondary planning cost lowest;According to the primary planning cost of each feasible primary planning scheme and its corresponding lowest secondary planning cost, calculate the primary-secondary collaborative planning cost of each feasible primary planning scheme;Select the feasible primary planning scheme and its corresponding secondary planning scheme with the lowest primary-secondary collaborative planning cost, as the collaborative planning scheme of optimal economy.

Description

Technical Field

[0001] This invention relates to the field of power distribution system planning technology, and specifically to a power distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow. Background Technology

[0002] In power distribution system planning, the primary system (including energy transmission equipment such as lines and transformers on the medium-voltage side, low-voltage side, and user side) and the secondary system (including control nodes, information flow nodes, and communication links) are typically designed separately. Existing planning methods often determine the deployment scheme of the primary equipment first, and then configure the communication network according to basic monitoring needs, or optimize the two completely independently. However, with the access of distributed power sources, intelligent terminals, and diversified control services, different power supply areas have significantly different requirements for communication service quality such as latency, jitter, bandwidth, and throughput. If the primary planning does not consider the subsequent control and information flow carrying requirements, it may lead to the need for the secondary system to build additional high-cost communication links or increase node deployment, resulting in a waste of overall investment; conversely, overemphasizing the configuration of primary equipment will also sacrifice economic efficiency. Therefore, the lack of planning methods oriented towards the coordination of energy flow, control flow, and information flow makes it difficult to achieve the lowest total system cost while meeting the control performance requirements of each area, and existing technologies lack effective solutions to this problem. Summary of the Invention

[0003] To achieve the objectives of this invention, this application provides a method for coordinated economic planning of primary and secondary power distribution systems based on energy-control-information flow, comprising: Step S1: Based on the division of power supply areas, generate at least one feasible primary planning scheme and quantitatively characterize the power supply area level in each feasible primary planning scheme; Step S2: Establish a primary system cost assessment model and calculate the primary planning cost of each feasible primary planning scheme; Step S3: For each feasible primary planning scheme, determine the secondary planning scheme that minimizes the cost of secondary planning based on the communication service quality requirements corresponding to the control needs of each power supply area. Step S4: Calculate the first- and second-order collaborative planning cost of each feasible first-order planning scheme based on the first-order planning cost of each scheme and its corresponding minimum second-order planning cost; Step S5: Select the feasible primary planning scheme with the lowest cost of primary and secondary collaborative planning and its corresponding secondary planning scheme as the most economically optimal collaborative planning scheme.

[0004] In some specific embodiments, step S1, which involves quantifying the power supply area level in each feasible primary planning scheme, includes: representing the feasible primary planning scheme as a set of power supply area divisions and power supply area levels, wherein the power supply area levels are distinguished by predetermined numbers.

[0005] In some specific embodiments, step S2 includes: decomposing the primary planning cost into medium-voltage side cost, low-voltage side cost and user side cost, and summing the three parts of cost to determine the primary planning cost of each feasible primary planning scheme.

[0006] In some specific embodiments, step S3 includes: for each power supply area in the feasible primary planning scheme, with the constraints of meeting its communication service quality requirements in terms of latency, jitter, bandwidth and throughput, and with the objective of minimizing the secondary planning cost including the deployment of control nodes, information flow nodes and communication links, solving the optimization problem, and accumulating the lowest secondary planning cost obtained from solving each power supply area as the lowest secondary planning cost corresponding to the feasible primary planning scheme.

[0007] In some specific embodiments, step S4 includes: summing the primary planning cost of the feasible primary planning scheme with the corresponding minimum secondary planning cost to determine the primary and secondary collaborative planning cost of each feasible primary planning scheme.

[0008] In some specific embodiments, step S5, selecting the most economically efficient collaborative planning scheme, includes: determining the scheme with the lowest primary and secondary collaborative planning costs from all feasible primary planning schemes, wherein the power supply area division, control node deployment, information flow node deployment, and communication link deployment corresponding to the scheme are the final planning results.

[0009] In some specific embodiments, the cost of the feasible linear planning scheme is determined according to the following formula: in, For the first The corresponding cost of a feasible one-step planning scheme The corresponding cost of this solution on the medium-voltage side, The corresponding cost of this solution on the low-voltage side, This represents the corresponding cost of the solution on the user side.

[0010] In some specific embodiments, in step S3, the quadratic programming cost minimization optimization problem for each feasible linear programming is determined according to the following formula: in, In order to target the Power supply areas in a feasible initial planning Feasible control and information flow node deployment schemes. In response to Feasible communication link deployment schemes, Representative regarding the first Power supply areas in a feasible initial planning A feasible quadratic programming scheme; , , and These represent feasible quadratic programming schemes. Next feasible planning Medium power supply area Quality of service in terms of latency, jitter, bandwidth, and throughput. , , and Representing the first Power supply areas in a feasible initial planning Service quality requirements in terms of latency, jitter, bandwidth, and throughput. Representative of feasible quadratic programming schemes The quality of services in all aspects must meet the corresponding requirements; Representative of feasible quadratic programming schemes The corresponding cost.

[0011] In some specific embodiments, the optimal selection method is for feasible one-time planning. Solve the above optimization problem for each power supply area in the middle to obtain the first... The lowest-cost quadratic programming method for a feasible linear programming approach: in, Representative regarding the first Power supply areas in a feasible initial planning The optimal solution obtained from solving the above optimization problem corresponds to the lowest quadratic programming cost. Representing the The minimum cost of a feasible primary planning is a secondary planning that is the sum of the minimum secondary planning costs for each power supply area.

[0012] In some specific embodiments, the feasible primary planning scheme corresponding to the minimum primary and secondary collaborative planning costs and the corresponding lowest-cost secondary planning scheme are selected according to the following formula: in, This is the corresponding number of the primary program in the economically optimal primary-secondary collaborative programming scheme. The optimal primary and secondary collaborative planning scheme includes the power supply area division scheme involved in the primary planning aspect, and the deployment scheme of control, information flow nodes and corresponding communication links involved in the secondary planning aspect.

[0013] The beneficial effects of the above technical solution are as follows: This application provides a power distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow, which has the following beneficial effects: (1) By co-optimizing the primary planning scheme and the secondary planning scheme under the same framework, and on the premise of meeting the communication service quality requirements corresponding to the control needs of each power supply area, the primary planning cost and the minimum secondary planning cost are calculated respectively, and the total cost of primary and secondary co-planning is obtained, thereby overcoming the problem of overall economic loss caused by traditional step-by-step planning or independent planning.

[0014] (2) Based on the power supply area level, the feasible primary planning scheme is quantitatively characterized, and the primary planning cost is decomposed into three parts: medium voltage side, low voltage side and user side. This realizes the refined cost assessment of different voltage levels and service sides, and provides an accurate input basis for subsequent collaborative optimization.

[0015] (3) For each feasible primary planning scheme, the service quality requirements such as delay, jitter, bandwidth, and throughput of each power supply area are used as constraints. The goal is to minimize the secondary planning cost including the deployment of control nodes, information flow nodes and communication links. The optimal secondary configuration of each area is solved separately, and then the global minimum secondary planning cost is obtained by summing them up. This ensures that the secondary system is economically optimal under the premise of technical feasibility.

[0016] (4) By comparing the total cost of collaborative planning corresponding to all feasible one-time planning schemes, the scheme with the lowest total cost is selected as the final planning result, so that the final output of power supply area division, control node deployment, information flow node deployment and communication link deployment can simultaneously take into account energy transmission efficiency and control communication performance, and realize the optimal allocation of resources among energy flow, control flow and information flow.

[0017] (5) The method has a clear process and a clear cause-and-effect relationship between each step. It is applicable to the collaborative planning of newly built distribution networks and can also be used for the upgrading and transformation of existing distribution networks. It has good versatility and engineering applicability. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating a power distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow, as provided in one embodiment of the present invention. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0021] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar symbols denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the invention, and should not be construed as limiting the invention.

[0022] Example 1 One embodiment of the present invention provides a distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow, referring to... Figure 1 As shown, it includes: Step S1: Based on the division of power supply areas, generate at least one feasible primary planning scheme and quantitatively characterize the power supply area level in each feasible primary planning scheme; In a specific embodiment of the present invention, step S1, which involves quantifying the power supply area level in each feasible primary planning scheme, includes: representing the feasible primary planning scheme as a set of power supply area divisions and power supply area levels, wherein the power supply area levels are distinguished by predetermined numbers.

[0023] The generated feasible solutions are represented in the following forms: in, For the first A feasible one-time planning scheme It records the corresponding numbers of all feasible linear planning schemes. This indicates the number of low-voltage power supply areas that the plan is expected to divide. Representing the The power supply zones are classified into different levels, with each level distinguished by a numerical value. , This represents the number of power supply zones.

[0024] In one specific embodiment of the present invention, the primary planning cost is determined according to the following formula: in, For the first The corresponding cost of a feasible one-step planning scheme The corresponding cost of this solution on the medium-voltage side, The corresponding cost of this solution on the low-voltage side, This represents the corresponding cost of the solution on the user side.

[0025] Step S2: Establish a primary system cost assessment model and calculate the primary planning cost of each feasible primary planning scheme; In a specific embodiment of the present invention, step S2 includes: decomposing the primary planning cost into medium-voltage side cost, low-voltage side cost and user side cost, and summing the three parts of cost to determine the primary planning cost of each feasible primary planning scheme.

[0026] Step S3: For each feasible primary planning scheme, determine the secondary planning scheme that minimizes the cost of secondary planning based on the communication service quality requirements corresponding to the control needs of each power supply area. In a specific embodiment of the present invention, step S3 includes: for each power supply area in the feasible primary planning scheme, with the constraints of meeting the communication service quality requirements in terms of latency, jitter, bandwidth and throughput, and with the objective of minimizing the secondary planning cost including the deployment of control nodes, information flow nodes and communication links, solving the optimization problem, and accumulating the lowest secondary planning cost obtained from solving each power supply area as the lowest secondary planning cost corresponding to the feasible primary planning scheme.

[0027] Step S4: Calculate the first- and second-order collaborative planning cost of each feasible first-order planning scheme based on the first-order planning cost of each scheme and its corresponding minimum second-order planning cost; In a specific embodiment of the present invention, step S4 includes: summing the primary planning cost of the feasible primary planning scheme with the corresponding minimum secondary planning cost to determine the primary and secondary collaborative planning cost of each feasible primary planning scheme.

[0028] The cost of the feasible linear programming and its corresponding minimum quadratic programming cost are added together, and the calculation method is as follows: in, Representative facing the first The cost of primary and secondary collaborative planning for a feasible primary planning stage.

[0029] Step S5: Select the feasible primary planning scheme with the lowest cost of primary and secondary collaborative planning and its corresponding secondary planning scheme as the most economically optimal collaborative planning scheme.

[0030] In a specific embodiment of the present invention, step S5, selecting the most economically efficient collaborative planning scheme, includes: determining the scheme with the lowest primary and secondary collaborative planning costs from all feasible primary planning schemes, wherein the power supply area division, control node deployment, information flow node deployment, and communication link deployment corresponding to the scheme are the final planning results.

[0031] In a specific embodiment of the present invention, in step S3, the quadratic programming cost minimization optimization problem for each feasible linear programming is determined according to the following formula: in, In order to target the Power supply areas in a feasible initial planning Feasible control and information flow node deployment schemes. In response to Feasible communication link deployment schemes, Representative regarding the first Power supply areas in a feasible initial planning A feasible quadratic programming scheme; , , and These represent feasible quadratic programming schemes. Next feasible planning Medium power supply area Quality of service in terms of latency, jitter, bandwidth, and throughput. , , and Representing the first Power supply areas in a feasible initial planning Service quality requirements in terms of latency, jitter, bandwidth, and throughput. Representative of feasible quadratic programming schemes The quality of services in all aspects must meet the corresponding requirements; Representative of feasible quadratic programming schemes The corresponding cost.

[0032] In one specific embodiment of the present invention, the optimal selection method is for feasible one-time planning. Solve the above optimization problem for each power supply area in the middle to obtain the first... The lowest-cost quadratic programming method for a feasible linear programming approach: in, Representative regarding the first Power supply areas in a feasible initial planning The optimal solution obtained from solving the above optimization problem corresponds to the lowest quadratic programming cost. Representing the The minimum cost of a feasible primary planning is a secondary planning that is the sum of the minimum secondary planning costs for each power supply area.

[0033] In a specific embodiment of the present invention, the feasible primary planning scheme corresponding to the minimum primary and secondary collaborative planning costs and the corresponding lowest-cost secondary planning scheme are selected according to the following formula: in, This is the corresponding number of the primary program in the economically optimal primary-secondary collaborative programming scheme. The optimal primary and secondary collaborative planning scheme includes the power supply area division scheme involved in the primary planning aspect, and the deployment scheme of control, information flow nodes and corresponding communication links involved in the secondary planning aspect.

[0034] This application achieves overall economic loss by co-optimizing primary and secondary planning schemes within the same framework. Under the premise of meeting the communication service quality requirements corresponding to the control needs of each power supply area, it calculates the primary planning cost and the minimum secondary planning cost separately, thereby obtaining the total cost of primary and secondary collaborative planning.

[0035] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0036] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The embodiments of the present invention are described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing terminal equipment to cause a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1The steps of the functions specified in one or more boxes. Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the invention. Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0037] The methods and apparatus provided by the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

[0038] In the description of this specification, references to terms such as "an embodiment," "some embodiments," "example," "specific example," or "a specific embodiment" or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A power distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow, characterized in that, include: Step S1: Based on the division of power supply areas, generate at least one feasible primary planning scheme and quantitatively characterize the power supply area level in each feasible primary planning scheme; Step S2: Establish a primary system cost assessment model and calculate the primary planning cost of each feasible primary planning scheme; Step S3: For each feasible primary planning scheme, determine the secondary planning scheme that minimizes the cost of secondary planning based on the communication service quality requirements corresponding to the control needs of each power supply area. Step S4: Calculate the first- and second-order collaborative planning cost of each feasible first-order planning scheme based on the first-order planning cost of each scheme and its corresponding minimum second-order planning cost; Step S5: Select the feasible primary planning scheme with the lowest cost of primary and secondary collaborative planning and its corresponding secondary planning scheme as the most economically optimal collaborative planning scheme.

2. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow as described in claim 1, characterized in that, In step S1, the quantitative characterization of the power supply area level in each feasible primary planning scheme includes: representing the feasible primary planning scheme as a set of power supply area divisions and power supply area levels, wherein the power supply area levels are distinguished by predetermined numbers.

3. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow as described in claim 1, characterized in that, Step S2 includes: decomposing the primary planning cost into medium-voltage side cost, low-voltage side cost, and user side cost, and summing the three parts of the cost to determine the primary planning cost of each feasible primary planning scheme.

4. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 1, characterized in that, Step S3 includes: for each power supply area in the feasible primary planning scheme, with the constraints of meeting the communication service quality requirements in terms of latency, jitter, bandwidth and throughput, and with the objective of minimizing the secondary planning cost including the deployment of control nodes, information flow nodes and communication links, solving the optimization problem, and accumulating the lowest secondary planning cost obtained from solving each power supply area as the lowest secondary planning cost corresponding to the feasible primary planning scheme.

5. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 1, characterized in that, Step S4 includes: summing the primary planning cost of the feasible primary planning scheme with the corresponding minimum secondary planning cost to determine the primary and secondary collaborative planning cost of each feasible primary planning scheme.

6. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 1, characterized in that, In step S5, selecting the most economically efficient collaborative planning scheme includes: determining the scheme with the lowest primary and secondary collaborative planning costs from all feasible primary planning schemes, wherein the power supply area division, control node deployment, information flow node deployment, and communication link deployment corresponding to the scheme are the final planning results.

7. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 3, characterized in that, The cost of the feasible linear planning scheme is determined according to the following formula: in, For the first The corresponding cost of a feasible one-step planning scheme The corresponding cost of this solution on the medium-voltage side, The corresponding cost of this solution on the low-voltage side, This represents the corresponding cost of the solution on the user side.

8. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 4, characterized in that, In step S3, the quadratic programming cost minimization optimization problem for each feasible linear programming problem is determined according to the following formula: in, In order to target the Power supply areas in a feasible initial planning Feasible control and information flow node deployment schemes. In response to Feasible communication link deployment schemes, Representative regarding the first Power supply areas in a feasible initial planning Feasible quadratic programming schemes; , , and These represent feasible quadratic programming schemes. Next feasible planning Medium power supply area Quality of service in terms of latency, jitter, bandwidth, and throughput. , , and Representing the first Power supply areas in a feasible initial planning Service quality requirements in terms of latency, jitter, bandwidth, and throughput. Representative of feasible quadratic programming schemes The quality of services in all aspects must meet the corresponding requirements; Representative of feasible quadratic programming schemes The corresponding cost.

9. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 8, characterized in that, The optimal selection method is for feasible linear programming. Solve the above optimization problem for each power supply area in the middle to obtain the first... The lowest-cost quadratic programming method for a feasible linear programming approach: in, Representative regarding the first Power supply areas in a feasible initial planning The optimal solution obtained from solving the above optimization problem corresponds to the lowest quadratic programming cost. Representing the The minimum cost quadratic programming problem with a feasible linear programming approach.

10. The distribution primary and secondary coordinated economic planning method oriented towards energy-control-information flow according to claim 6, characterized in that, Select the feasible linear programming scheme and the corresponding quadratic programming scheme with the lowest cost based on the following formula: in, This is the corresponding number of the primary program in the economically optimal primary-secondary collaborative programming scheme. The optimal primary and secondary collaborative planning scheme includes the power supply area division scheme involved in the primary planning aspect, and the deployment scheme of control, information flow nodes and corresponding communication links involved in the secondary planning aspect.

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