Power distribution network development path planning method based on technology, management and market

Abstract

The invention discloses a power distribution network development path planning method based on technology, management and market, and relates to the technical field of power distribution network development path planning, and the method comprises the steps: dividing three forms of a smart power distribution network according to the demands of a power system for the smart power distribution network; corresponding to each morphological characteristic, analyzing each morphological development mode to obtain each morphological implementation path; an intelligent power distribution network evolution route integrating technology, management and market is deduced; the development of the intelligent power distribution network in a certain region is predicted, and adjustment is made on the basis of existing development planning. According to the method, more detailed division is carried out on the whole intelligent power distribution network, so that the method has the advantages that compared with a traditional overall path planning method, the three-in-one path planning method for the technology, management and market of the intelligent power distribution network is highlighted for different forms.

Description

Technical Field

[0001] The present invention relates to the technical field of power system planning, and in particular to a distribution network development path planning method based on technology, management and market. Background Art

[0002] After decades of development and progress in the power industry worldwide, the power system has become mature in technology, management and market in power generation, distribution, electrical equipment and other aspects. However, with the continuous progress of human productivity and science and technology, the requirements for power systems are no longer limited to safe and reliable power supply. On the one hand, the world has entered the era of digitalization and informatization. As the most basic pillar industry for people's livelihood and industrial production, the power industry needs to continue to make progress to adapt to the changes of the times, including the improvement of hardware configuration and further optimization of software performance. On the other hand, the energy crisis is becoming more and more serious worldwide, and human expectations for green environmental protection and sustainable development are becoming more and more urgent. Therefore, the traditional power system will no longer meet all the needs of human development, and modern new power systems have emerged. At the same time, it has also increased the complexity of the operation of the power grid itself, and it is necessary to introduce a large number of "smart" capabilities and have active adjustment capabilities in all aspects of power generation, energy storage, distribution and power consumption. As a key link in the new power system, the distribution network is facing the utilization and expansion of large-scale distributed energy and the access of a large number of intelligent and digital electrical equipment, thus giving rise to the concept of "smart distribution network".

[0003] Compared with the traditional distribution network, the smart distribution network under the requirements of the new power system should have the following characteristics: higher power supply reliability, high-quality electricity with optimized voltage and frequency, an economical distribution network model with high energy absorption rate, a distribution network with good transmission characteristics, and an integrated visual distribution network dispatching system. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above problems or problems existing in the prior art, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the traditional power system will no longer meet all the needs of human development, and modern new power systems have emerged. At the same time, the complexity of the operation of the power grid itself has also increased, and it is necessary to introduce a large amount of "intelligent" capabilities and have active adjustment capabilities in each link of power generation, energy storage, distribution, and power consumption.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a distribution network development path planning method based on technology, management and market, which includes dividing the three forms of smart distribution network according to the demand of the power system for smart distribution network;

[0008] According to the characteristics of each form, analyze the development mode of each form and obtain the realization path of each form;

[0009] Describe the evolution path of smart distribution network that integrates technology, management and market;

[0010] Predict the development of smart distribution networks in a certain region and make adjustments to existing development plans.

[0011] As a preferred solution of the distribution network development path planning method based on technology, management and market described in the present invention, wherein: the corresponding technology divides the form of the smart distribution network into physical forms;

[0012] The corresponding management divides the smart distribution network into digital forms;

[0013] Corresponding to the market, the smart distribution network is divided into commercial forms.

[0014] As an optimal solution for the distribution network development path planning method based on technology, management and market described in the present invention, wherein: the implementation paths of each form are obtained, according to the different requirements of different regions for smart distribution networks, analysis is performed to obtain a path suitable for the development of the smart distribution network in the region, corresponding to the technology development path, management development path, and market development path, to obtain a development model suitable for the smart distribution network in the region.

[0015] As a preferred solution of the distribution network development path planning method based on technology, management and market described in the present invention, the evolution path of the smart distribution network integrating technology, management and market includes:

[0016] Under the natural evolution of the smart distribution network, the importance of indicators at each link and path node is determined, expressed as:

[0017] Among them, γ n is the completion coefficient of important indicators, ρ wi is the optimal weight coefficient, ρ wi is the expected weight coefficient, f j Represents the importance weighting coefficients of the three paths.

[0018] As a preferred solution of the distribution network development path planning method based on technology, management and market described in the present invention, the evolution path of the smart distribution network integrating technology, management and market includes:

[0019] Combined with the development path, the development of the smart distribution network in a certain region is predicted, and the deviation between the development degree of the smart distribution network at a certain time point under the set path and the expected development of the smart distribution network under objective requirements is evaluated, which is expressed as:

[0020]

[0021]

[0022] M=p 1 (MSE)+p 2 (RMSE)+p 3 (MAE)

[0023] Among them, MSE is the mean square error, RMSE is the root mean square error, MAE is the mean absolute error, M is the comprehensive deviation index, y i is the actual development level of the smart distribution network at time i, is the expected development degree based on subjective planning, n is the length of the data set, and p 1 、p 2 、p 3 is the error weight.

[0024] As a preferred solution of the distribution network development path planning method based on technology, management and market described in the present invention, wherein: the technology development path includes reasonable weighting of technology difficulty, promotion degree and whether it is efficient, and obtains a comprehensive evaluation score of the expected technology path;

[0025] The reasonable empowerment includes using TOPSIS to conduct decision analysis on the five goals of greening, flexibility, digitization, intelligence, and activation;

[0026] Green computing Flexibility Digitalization Intelligent Active The expected ideal state weight of the five goals is A+:

[0027]

[0028] Green computing Flexibility Digitalization Intelligent Active The expected non-ideal state weights of the five objectives:

[0029]

[0030] Calculate the degree of achievement of the five goals after planning and the degree of proximity to the optimal solution and the worst solution:

[0031]

[0032] Among them, C i For proximity.

[0033] As a preferred solution of the distribution network development path planning method based on technology, management and market described in the present invention, wherein: the market development path includes evaluating the market path of the smart distribution network by improving the CHINAGEM model; the model reflects the cost-benefit relationship, including input and output modules; for the input module reflecting the cost, it is constructed based on the principle of cost minimization, wherein the inputs include the infrastructure construction cost for realizing the market path, and the software and Internet platform R&D and use costs; for the output module reflecting the benefits, it includes short-term net benefits and long-term net benefits;

[0034] The first layer adopts the Leontief nesting method, which indicates that the cost and benefit of the smart distribution network market path satisfy the Leontief production function relationship. The various elements in the path influence each other and have a linkage relationship with both cost and benefit:

[0035]

[0036] Leotief{f i}=minimum{f 1 ,f 2 ,...f n}

[0037] Among them, i and j are production and industry sectors respectively, A ij (1) and X ij (1) and represent technical parameters, which reflect the difficulty of path implementation, including specific parameters derived from comprehensive factors such as technical completion, marketing yield, and market liquidity; X ij (1) Represents the net production cost input; A j (1) and Z j They represent the technical parameters and total output of the industrial sector respectively.

[0038] Beneficial effects of the invention: The invention makes a more detailed division of the smart distribution network as a whole. The advantage of this is that it can carry out path planning for different forms separately, compared with the traditional overall path planning method, and highlight the path planning method of the trinity of smart distribution network technology, management and market. This method is more comprehensive and provides a more adaptable planning method for the development of smart distribution networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0040] Figure 1 It is a transition direction map from traditional distribution network to smart distribution network.

[0041] Figure 2 Schematic diagram of the physical form of the smart distribution network.

[0042] Figure 3 Schematic diagram of the digital form of the smart distribution network.

[0043] Figure 4 This is a schematic diagram of the business model of the smart distribution network.

[0044] Figure 5 Schematic diagram of the planning method for the technical path of the smart distribution network.

[0045] Figure 6 Schematic diagram of the planning method for the management path of the smart distribution network.

[0046] Figure 7 Schematic diagram of the planning method for the market path of smart distribution networks.

[0047] Figure 8 This is a schematic diagram of the planning path for the development of a province's smart distribution network.

[0048] Fig. 9 This is the overall flow chart of the distribution network development path planning system based on technology, management and market. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0051] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0052] Example 1

[0053] Reference Figure 1 , which is an embodiment of the present invention, provides a distribution network development path planning method based on technology, management, and market, including:

[0054] The purpose of the present invention is to solve the problem of unclear development path of existing smart distribution network. In view of the above problems, a planning method of smart distribution network development path based on technology, management and market is proposed. The multi-level and multi-factor analysis method adopted by the present invention mainly provides a more reasonable, practical and widely applicable analysis method for the analysis of development mode and development path planning of smart distribution network, and provides a practical method for the development of smart distribution network.

[0055] This paper proposes a planning method for the development path of a smart distribution network based on the trinity of technology, management, and market. The basic idea is: on the basis of the current smart distribution network, the smart distribution network is divided into physical form, digital form, and commercial form in terms of form, corresponding to the technology, management, and market levels of the smart distribution network respectively. According to the characteristics of the three forms, the technical path, management path, and market path are reasonably planned to achieve the trinity development of the smart distribution network. According to this path planning method, the short-term, medium-term, and long-term development evolution routes of the smart distribution network can be predicted.

[0056] S1: According to the demand of the power system for smart distribution network, three forms of smart distribution network are divided.

[0057] Furthermore, the three types of smart distribution networks are divided into:

[0058] The corresponding technology divides the smart distribution network into physical forms;

[0059] The corresponding management divides the smart distribution network into digital forms;

[0060] Corresponding to the market, the smart distribution network is divided into commercial forms.

[0061] Furthermore, the physical form corresponds to the technical development model of the smart distribution network, which is the underlying foundation for building a modern smart distribution network. It is necessary to combine power generation, distribution network, microgrid, and load for joint analysis to achieve full coordination of power supply, energy storage, and load. It is a form of deep coordination between main-distribution-microgrid. Different logical levels contain different requirements. In the power supply part, we should focus on green and sustainable development technologies to minimize the consumption of traditional energy.

[0062] Digital form refers to the digital management development model of the smart distribution network. Effective digital management is a key factor in promoting the construction of modern smart distribution networks and is the digital form of modern smart distribution networks. In the digital age, an important means of achieving management is to use big data. First, the correctness and timeliness of the collected data are achieved, including the rapid and accurate collection of data from centralized power plants, distributed power sources, main grids, distribution networks, industrial and commercial electricity users, residential electricity users, energy storage power stations, and distributed energy storage. The data is uniformly transmitted to the local dispatching load control system or the local Internet of Things management platform for data access and processing. Finally, these data are used to reasonably allocate each partition, and multi-level dispatching work is achieved through provincial dispatching control systems, regional dispatching control systems, and distribution / county dispatching control systems. Then, through local power grid companies, substation monitoring, transmission monitoring, distribution management, load management, and power trading and other regional businesses are realized to achieve the energy interconnection, source-grid-storage-load interconnection, and vehicle-grid interconnection capabilities of the smart distribution network.

[0063] The business form corresponds to the market development model of the smart distribution network. With the gradual expansion of the construction scale of modern smart distribution networks, compared with the relatively single market entities of traditional distribution networks, namely the simple transaction model of power generation companies, distribution companies and users, the transaction entities of modern smart distribution networks have changed. It has become a market model with multiple entities such as distributed power sources, energy storage, electric vehicles, smart buildings, virtual markets, etc., and fully considers the costs of various parts of the distribution network.

[0064] S2: According to the characteristics of each form, analyze the development model of each form and obtain the implementation path of each form.

[0065] Furthermore, the implementation paths of each form include analyzing and obtaining a path suitable for the development of the smart distribution network in a region based on different requirements for the smart distribution network in different regions, corresponding to the technology development path, management development path, and market development path, to obtain a development model suitable for the smart distribution network in the region.

[0066] S3: Deduce the evolution path of a smart distribution network that integrates technology, management, and market.

[0067] Furthermore, the evolution path of the smart distribution network integrating technology, management and market includes:

[0068] Under the natural evolution of the smart distribution network, the importance of indicators at each link and path node is determined, expressed as:

[0069] Among them, γ n is the completion coefficient of important indicators, ρ wi is the optimal weight coefficient, ρ wi is the expected weight coefficient, f j Represents the importance weighting coefficients of the three paths.

[0070] Furthermore, under the natural evolution of the smart distribution network, there are nodes in the development path of the smart distribution network. The nodes contain the path completion indicators at this moment. In order to determine the importance of the completion indicators of each link and path node, the important indicator completion coefficient γ n Converted into the optimal value, the purpose is to find the optimal weight coefficient ρ wj and the expected weight coefficients ρ wi The minimum deviation between j Represents the weighting coefficient of the importance of the three paths, γ n The smaller it is, the smaller the deviation from the expected value is, and the higher the completion degree of the important indicators under this path node is.

[0071] It should be noted that compared with the existing subjective path evaluation method, which is too general and has a lot to do with the subjective thoughts of the evaluator, this method can use the deviation value to obtain an overall evaluation of the path development and is more objective; compared with the existing method of listing factors one by one and comparing statistical data one by one, this calculation method is faster and avoids tedious statistical and comparison processes.

[0072] S4: Predict the development of smart distribution networks in a certain region and make adjustments to the existing development plan.

[0073] Furthermore, by utilizing the analysis method of the development model of the smart distribution network of the present invention, combined with the development path in claim 5, the development of the smart distribution network in a certain area can be predicted, and adjustments or improvements can be made to the existing development plan, so as to make a reasonable plan for the development of the smart distribution network in a certain area. The mean square error (MSE), root mean square error (RMSE), and mean absolute error (MAE) can be used to evaluate the deviation between the development level of the smart distribution network at a certain time node under the set path and the expected development level of the smart distribution network under objective requirements, and the comprehensive deviation index M is obtained by defining the error weights pi. Assuming that the actual development level of the smart distribution network at time i is yi, and the expected development level according to the subjective plan is The length of the data set is n, and the expressions of each indicator are:

[0074]

[0075] M=p1 (MSE)+p 2 (RMSE)+p 3 (MAE).

[0076] It should be noted that M reflects the deviation value between the actual development situation and the expectation. The closer M is to 0, the more the world development is in line with expectations, which proves that the path is more reasonable up to the time of calculation. You can choose to be conservative on this path or improve the deviation part to further reduce the deviation. The closer M is to 1, the more unreasonable the path planning is, and you can change the development path. Use this as a reference to analyze whether the planned path is reasonable.

[0077] Figure 1 Schematic diagram of the transition direction from traditional distribution network to smart distribution network, including the following directions:

[0078] 1. Higher power supply reliability: It has the ability to resist natural disasters and external attacks, can make real-time predictions of grid safety hazards and intelligently handle faults, and minimize the impact of distribution network failures on users through the distribution automation system (DAS) and distribution management system (DMS); when the main grid is out of power, the microgrid system composed of distributed generation, renewable energy and microgrid management system (MGMS) is used to ensure the power supply of key loads and realize true self-healing function.

[0079] 2. Better power quality: Utilize advanced power electronics technology, static VAR compensator, online power quality monitoring and compensation technology to optimize voltage and reactive power control, ensure voltage stability and qualified power quality; through dynamic voltage restorer and active filter, achieve high-quality and continuous power supply for power quality sensitive equipment.

[0080] 3. Better compatibility: Support large-scale access to distributed power generation units, energy storage systems, and renewable energy in the distribution network, and achieve seamless integration and "plug and play" through the energy management system; support the operation of microgrid controllers, effectively improving the operational flexibility of the distribution network and the reliable power supply capacity for the load.

[0081] 4. Stronger interactive capabilities: Through advanced metering infrastructure and user communication networks, we support user demand response, actively create conditions for users with distributed power generation units to feed back electricity to the grid during peak load periods, provide value-added services, and realize the transformation from power company-centered to user-centered.

[0082] 5. Higher utilization of grid assets: Through the intelligent asset management system (AMS), the status of major equipment can be selectively monitored online in real time, and condition-based maintenance can be implemented to extend the service life of equipment; support rapid simulation and power flow analysis of distribution networks, optimize power flow control, reduce energy loss, and make full use of system capacity; reduce capital expenditures and equipment depreciation costs, so that users can obtain more economical power services.

[0083] 6. Integrated visual management platform: Through the distribution network geographic information system (GIS) and the supervisory control and data acquisition system (SCADA), the operating data of the distribution network and its equipment are collected in real time, and a high degree of fusion and deep integration of real-time operating data and offline management data are achieved. Through the enterprise asset management system, the informatization of equipment management, maintenance management, power outage management and power consumption management is realized, providing operators with a visual interface for advanced analysis and decision-making assistance.

[0084] Figure 2 This is a schematic diagram of the physical form of the smart distribution network. It can be seen that the physical form is relatively complex, and most of it contains hardware requirements for the development of the smart distribution network. Completing the hardware configuration of the technology is the basis for further planning of the technical path of the smart distribution network.

[0085] Figure 3 It is a schematic diagram of the digital form of the smart distribution network; it is the basic framework structure for the digital interconnection of the smart distribution network.

[0086] Figure 4 It is a schematic diagram of the business form of smart distribution network; the energy market of the modern smart distribution network is built, including the medium- and long-term market and the spot market. The auxiliary service market includes the peak-shaving market, the frequency regulation market, the standby market, the rotational inertia market, etc. The capacity market uses the means of capacity auction and the emerging diversified market including the green electricity, green certificate market and carbon market, which is the key task of building a modern smart distribution network.

[0087] Figure 5 This is a schematic diagram of the planning method of the technology development path of the smart distribution network, which is characterized by: the planning method of the technology path involves many different technologies, and the main goals of these technologies are to achieve green, flexible, digital, intelligent, and active. Therefore, the method of planning the technology path should be: reasonably weight the technical difficulty, promotion degree, and whether it is efficient, and obtain a comprehensive evaluation score for the expected technology path. The TOPSIS model is used for weighting. The TOPSIS method is a ranking method that is close to the ideal solution.

[0088] The technology development path includes reasonable weighting of technology difficulty, promotion degree, and efficiency to obtain a comprehensive evaluation score of the expected technology path;

[0089] The reasonable empowerment includes using TOPSIS to conduct decision analysis on the five goals of greening, flexibility, digitization, intelligence, and activation;

[0090] Green computing Flexibility Digitalization Intelligent Active The expected ideal state weight of the five goals is A+:

[0091]

[0092] Green computing Flexibility Digitalization Intelligent Active The expected non-ideal state weights of the five objectives:

[0093]

[0094] Calculate the degree of achievement of the five goals after planning and the degree of proximity to the optimal solution and the worst solution:

[0095]

[0096] Among them, C i The evaluation object is analyzed by calculating the proximity Ci. When Ci is higher and closer to 1, it is closer to the ideal expectation, indicating that the performance of the pre-designed path is better.

[0097] It should be noted that this method considers more comprehensive factors than the existing method, and comprehensively evaluates the five factors to avoid the situation where one factor scores too low and another factor scores too high, and the average is close to the expectation. Therefore, this method first sets the ideal and non-ideal states, and then calculates the gap with the expectation after weighting.

[0098] Figure 6 This is a schematic diagram of the planning method of the technical path of the smart distribution network. The planning method of the management path is an overall planning method of multi-agent collaboration, which includes three subjects:

[0099] (1) Internet, big data, and network cloud platforms: They are the terminal systems for realizing modern smart distribution network management. They can not only realize the control functions related to the distribution network, but also realize the transaction processes between users.

[0100] (2) Users: There are many users of smart distribution networks, including environmentally friendly factories, new energy vehicle consumers, etc.

[0101] (3) Government decision-making bodies: Institutions that formulate policies, make reasonable plans and provide correct guidance for the construction of modern smart distribution networks, and coordinate management.

[0102] (4) Related enterprises: including technology research and development enterprises, distributed energy generation enterprises, smart distribution network equipment enterprises, etc.

[0103] 1-12 in the figure are the basic methods for path planning between entities:

[0104] 1: Users can learn about the information about the smart distribution network through the Internet, big data, and network cloud platforms, pay bills through the Internet, view electricity consumption data and other transaction activities.

[0105] 2: The Internet, big data, and network cloud platforms can provide data to users, send bills, and guide users to respond to relevant policies.

[0106] The full interaction between users and the Internet, big data, and network cloud platforms is the basis for realizing smart distribution network management, which is directly related to the consumption of electric energy in the smart distribution network.

[0107] 3: The Internet, big data, and network cloud platforms provide data for government decision-making bodies, guiding them to use big data analysis and prediction to formulate reasonable policies and optimize the management of smart distribution networks by authoritative agencies.

[0108] 4: Government decision-making bodies can release policy information through the Internet, big data, and network cloud platforms to further guide users and related companies to take corresponding measures.

[0109] The benign interaction between government decision-making bodies and the Internet, big data, and network cloud platforms is the key path to building a modern smart distribution network.

[0110] 5: Government decision-making bodies supervise relevant enterprises, manage them transparently, and guide relevant reasonable bidding. A modern smart distribution network is built for the benefit of the people.

[0111] 6: Relevant enterprises should closely follow the guidance of government decision-making departments and give full play to the advantages of enterprises in their respective fields. At the same time, enterprises should also make suggestions to decision-making departments in a timely manner based on their own conditions and market research, and guide decision-making bodies to make correct decision-making changes.

[0112] Mutual guidance between government decision-making bodies and relevant enterprises is an important path to promote the transparency and sustainable development of modern smart distribution networks.

[0113] 7: Relevant enterprises shall provide high-quality products and excellent services to users, with the goal of creating products that meet the requirements of smart distribution network construction and the objective needs of users.

[0114] 8: Users make reasonable demands on relevant companies, evaluate corporate products with a transparent evaluation system, supervise product quality (the products here are in a broad sense, which can be general commodities, services, or electricity produced by distributed energy power plants, the same below), and promote the continuous and positive development of enterprises.

[0115] The relationship between users and related companies is one of mutual respect. Mutual respect between the two can not only improve the product quality of the company but also improve the user experience. It is the core path to building a modern smart distribution network.

[0116] 9: Relevant enterprises should shoulder the task of establishing the Internet, big data and network cloud platforms, and upload the data content of their own products in a timely manner for platform analysis.

[0117] 10: The Internet, big data, and network cloud platforms rely on accurate data from related companies to complete comprehensive analysis. In turn, the analyzed data can be returned to the related companies to improve their own product quality based on feedback.

[0118] The Internet, big data, network cloud platforms and related enterprises are mutually dependent, which can promote the common progress of both and is one of the key paths to building a smart distribution network.

[0119] 11: Users should always supervise government decision-making bodies, and promptly reflect the applicability and implementation of policies, whether they are in line with the actual situation, and whether they can guide the healthy development of various entities. In addition to supervision, users should also take the conscious implementation of policies as an obligation, and should also resolve problems with a consultative attitude when they arise.

[0120] 12: Government decision-making bodies should always adhere to the principle of putting user interests first when formulating and implementing policies, earnestly accept user supervision and criticism, and make timely policy adjustments.

[0121] Government decision-making bodies and users are the two most important subjects in the construction and management of smart distribution networks, because they will directly reflect whether the construction of smart distribution networks meets the requirements of the region. It is the main path in the construction and management of smart distribution networks.

[0122] Figure 7 It is a schematic diagram of the planning method of the market path of the smart distribution network, which is characterized by: the method of planning the market path of the smart distribution network must take into account the healthy development of its market. The market path is the requirement for the market. Only by meeting these requirements can a complete market path for the smart distribution network be constructed.

[0123] The market path of smart distribution network is evaluated by improving CHINAGEM model, which reflects the cost-benefit relationship and includes input and output modules. The input module reflecting the cost is constructed based on the principle of cost minimization, where the inputs include the infrastructure construction cost to realize the market path, the software and Internet platform R&D and use costs, etc. The output module reflecting the benefits includes short-term net benefits and long-term net benefits.

[0124] The first layer adopts the Leontief nesting method, which means that the cost and benefit of the smart distribution network market path satisfy the Leontief production function relationship. The various elements in the path influence each other and have a linkage relationship with both cost and benefit:

[0125]

[0126] Leotief{f i}=minimum{f 1 ,f 2 ,...f n}

[0127] Among them, i and j are production and industry sectors respectively, A ij (1) and X ij (1) and represent technical parameters, which reflect the difficulty of path implementation, including specific parameters derived from comprehensive factors such as technical completion, marketing yield, and market liquidity; X ij (1) Represents the net production cost input; A j (1) and Z j They represent the technical parameters and total output of the industrial sector respectively.

[0128] It should be noted that the model is based on the principle of low production cost and highest return. The rationality of the pre-planned market path reflected by this model is related to the difficulty of implementation and net production input. The smaller the product, the more reasonable the pre-planned market path. It can be seen that the key to planning the market path of smart distribution networks lies in the transparency of market information and fair transactions, and the implementation paths are all based on technology and management is the key.

[0129] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0130] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0131] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0132] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0133] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A distribution network development path planning method based on technology, management and market, characterized by: include, According to the power system's demand for smart distribution networks, three forms of smart distribution networks are divided; According to the characteristics of each form, analyze the development mode of each form and obtain the realization path of each form; Describe the evolution path of smart distribution network that integrates technology, management and market; Predict the development of smart distribution networks in a certain region and make adjustments to existing development plans.

2. The distribution network development path planning method based on technology, management and market as claimed in claim 1, characterized in that: The three types of smart distribution networks are divided into: The corresponding technology divides the smart distribution network into physical forms; The corresponding management divides the smart distribution network into digital forms; Corresponding to the market, the smart distribution network is divided into commercial forms.

3. The distribution network development path planning method based on technology, management and market as claimed in claim 2 is characterized by: The implementation paths of each form include: analyzing and obtaining a path suitable for the development of the smart distribution network in a region based on different requirements for the smart distribution network in different regions, corresponding to the technical development path, management development path, and market development path, and obtaining a development model suitable for the smart distribution network in the region.

4. The distribution network development path planning method based on technology, management and market as claimed in claim 3 is characterized by: The evolution path of the smart distribution network that integrates technology, management and market includes: Under the natural evolution of the smart distribution network, the importance of indicators at each link and path node is determined, expressed as: Among them, γ n is the completion coefficient of important indicators, ρ wj is the optimal weight coefficient, ρ w i is the expected weight coefficient, f j Represents the importance weighting coefficients of the three paths.

5. The distribution network development path planning method based on technology, management and market as claimed in claim 4 is characterized by: The evolution path of the smart distribution network that integrates technology, management and market includes: Combined with the development path, the development of the smart distribution network in a certain region is predicted, and the deviation between the development degree of the smart distribution network at a certain time point under the set path and the expected development of the smart distribution network under objective requirements is evaluated, which is expressed as: M=p1(MSE)+p2(RMSE)+p3(MAE) Among them, MSE is the mean square error, RMSE is the root mean square error, MAE is the mean absolute error, M is the comprehensive deviation index, y i is the actual development level of the smart distribution network at time i, is the expected development degree according to subjective planning, n is the length of the data set, and p1, p2, and p3 are error weights.

6. The distribution network development path planning method based on technology, management and market as claimed in claim 5 is characterized by: The technology development path includes reasonable weighting of technology difficulty, promotion degree, and efficiency to obtain a comprehensive evaluation score of the expected technology path; The reasonable empowerment includes using TOPSIS to conduct decision analysis on the five goals of greening, flexibility, digitization, intelligence, and activation; Green computing Flexibility Digitalization Intelligent Active The expected ideal state weight of the five goals is A+: Green computing Flexibility Digitalization Intelligent Active The expected non-ideal state weights of the five objectives: Calculate the degree of achievement of the five goals after planning and the degree of proximity to the optimal solution and the worst solution: Among them, C i For proximity.

7. The distribution network development path planning method based on technology, management and market as claimed in claim 6 is characterized by: The market development path includes evaluating the market path of smart distribution network by improving CHINAGEM model; the model reflects the cost-benefit relationship, including input and output modules; the input module reflecting the cost is constructed based on the principle of cost minimization, where the inputs include the infrastructure construction cost of realizing the market path, the software and Internet platform R&D and use costs; the output module reflecting the benefits includes short-term net benefits and long-term net benefits; The first layer adopts the Leontief nesting method, which indicates that the cost and benefit of the smart distribution network market path satisfy the Leontief production function relationship. The various elements in the path influence each other and have a linkage relationship with both cost and benefit: Leotief{f i }=minimum{f1,f2,...f n } Among them, i and j are production and industry sectors respectively, A ij (1) and X ij (1) and represent technical parameters, which reflect the difficulty of path implementation, including specific parameters derived from comprehensive factors such as technical completion, marketing yield, and market liquidity; X ij (1) Represents the net production cost input; A j (1) and Z j They represent the technical parameters and total output of the industrial sector respectively.

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