Power distribution network planning and design method, system and equipment under energy internet and medium

Abstract

The invention provides a power distribution network planning and design method, system, equipment and medium under the energy internet, and relates to the technical field of power systems, and the method comprises the steps: obtaining the total capacity and local load capacity of a distributed power supply in a to-be-planned power distribution region under the energy internet, and the acceptable limit value of the distributed power supply of the power distribution network; substituting the total capacity and the local load capacity of the distributed power supply into a source load comparison algorithm to obtain a source load comparison result, and obtaining a source load coordination strategy according to the source load comparison result; generating a comprehensive planning scheme based on the source-load coordination strategy, the source-network coordination strategy, the load-network coordination strategy and the comprehensive optimization target; and carrying out collaborative optimization on the comprehensive planning scheme based on a multi-objective optimization model, and determining an intelligent power distribution network planning design scheme. According to the method, the intelligent power distribution network planning and design scheme of the power distribution area to be planned is generated through multi-index evaluation, and the power distribution network planning and design scheme which is coordinated and optimized based on the overall perspective of source network load storage and is higher in reliability is obtained.

Description

Technical Field

[0001] This invention relates to the field of power system technology, specifically to a method, system, equipment, and medium for planning and designing distribution networks under the energy internet. Background Technology

[0002] In the power system field, the distribution network is the final link in realizing the transmission, distribution, and supply of electrical energy. Its planning and design directly affect the operating efficiency, power supply reliability, and user experience of the power system. A smart distribution network, based on the traditional distribution network, integrates advanced technologies such as sensing and measurement, communication, information processing, and control decision-making, achieving intelligence, automation, and interactivity in the distribution network, and possessing characteristics such as self-healing, optimization, interaction, and integration. Existing distribution network planning and design methods are based on the maximum access capacity of distributed generation sources, assessing the grid's carrying capacity. If the assessment results indicate that the existing grid structure cannot meet the access needs of distributed generation sources, then local modifications or access restrictions are implemented based on the assessment results.

[0003] However, in the existing distribution network planning and design methods under the energy internet, distributed power sources are insufficient in terms of absorption capacity, multi-factor coordination and optimization capabilities of source-grid-load-storage, and reliability improvement. They have poor reliability and cannot obtain better distribution network planning and design schemes. Summary of the Invention

[0004] To overcome the shortcomings of the prior art, this invention provides a distribution network planning and design method under the energy internet, comprising:

[0005] Obtain the total capacity of distributed power sources, local load, and the maximum value of distributed power sources that the distribution network can accommodate within the planned distribution area under the energy internet;

[0006] Substitute the total capacity of distributed power sources and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and obtain the source-load coordination strategy based on the source-load comparison result.

[0007] Substitute the total capacity of distributed generation and the limit value of distributed generation that the distribution network can accept into the source-network comparison algorithm to obtain the source-network comparison result, and obtain the source-network coordination strategy based on the source-network comparison result.

[0008] Substitute the local load and the distribution network’s limit on the number of distributed generation sources into the load-grid comparison algorithm to obtain the load-grid comparison result, and obtain the load-grid coordination strategy based on the load-grid comparison result.

[0009] Based on the source-load coordination strategy, source-grid coordination strategy, load-grid coordination strategy, and comprehensive optimization objectives, a comprehensive planning scheme is generated that includes grid expansion, distributed power source access, energy storage configuration, and flexible load guidance.

[0010] Based on a multi-objective optimization model, the comprehensive planning scheme is optimized collaboratively to determine the smart distribution network planning and design scheme for the distribution area to be planned.

[0011] Preferably, the total capacity of distributed power sources and the local load are substituted into the source-load comparison algorithm to obtain the source-load comparison result, and a source-load coordination strategy is obtained based on the source-load comparison result, including:

[0012] By comparing the total capacity of distributed power sources with the local load, the source-load comparison results are obtained.

[0013] When the source-load comparison result is that the total capacity of the distributed power source is less than or equal to the local load, the source-load coordination strategy is the distributed power source access point optimization strategy and / or the load-side flexible scheduling optimization strategy.

[0014] When the source-load comparison result shows that the total capacity of distributed power sources is greater than the local load, the source-load coordination strategy is the external transmission channel assessment strategy and / or the demand-side response strategy.

[0015] Preferably, the total capacity of distributed generation sources and the distribution network's limit on the number of distributed generation sources can accommodate are substituted into the source-network comparison algorithm to obtain the source-network comparison result. Based on the source-network comparison result, a source-network coordination strategy is obtained, including:

[0016] By comparing the total capacity of distributed generation sources with the maximum value of distributed generation sources that the distribution network can accommodate, the source-network comparison results are obtained.

[0017] When the source-network comparison result is that the total capacity of distributed generation is less than or equal to the limit value of distributed generation that the distribution network can accept, the source-network coordination strategy is the distributed generation access point optimization strategy and / or local network structure optimization strategy.

[0018] When the source-grid comparison result is that the total capacity of distributed generation is greater than the limit value of distributed generation that the distribution network can accept, the source-grid coordination strategy is the first distribution network structure expansion strategy; wherein the first distribution network structure expansion strategy includes at least one of the following: line transmission capacity improvement strategy, transformer capacity improvement strategy, and network structure strengthening strategy.

[0019] Preferably, the local load and the distribution network's limit for accepting distributed generation are substituted into the load-grid comparison algorithm to obtain the load-grid comparison result. Based on the load-grid comparison result, a load-grid coordination strategy is obtained, including:

[0020] By comparing the local load and the limit of distributed generation capacity that the distribution network can accommodate, the load-network comparison results are obtained.

[0021] When the load-grid comparison result is that the local load is less than the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the operation optimization strategy.

[0022] When the load-grid comparison result is that the local load is greater than or equal to the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the second distribution network expansion strategy; the second distribution network expansion strategy includes at least one of the following: substation number expansion strategy, line capacity expansion strategy, and power flow distribution optimization strategy.

[0023] Preferably, the comprehensive optimization objectives include one or more of the following: minimizing investment costs, maximizing operational efficiency, optimizing power supply reliability, and meeting the multi-energy complementarity requirements of the energy internet.

[0024] Preferably, the limit value of distributed generation that the distribution network can accept is determined by comprehensively considering the distribution network operation data to ensure the safe and stable operation of the power grid after the planned distribution area is connected to distributed generation;

[0025] Distribution network operation data includes at least one of the following: voltage deviation data, power flow limitation data, short-circuit current breaking capacity data, and relay protection coordination data.

[0026] Preferably, a comprehensive planning scheme is generated that includes grid expansion, distributed power source access, energy storage configuration, and flexible load steering, including one or more of the following:

[0027] Optimization scheme for the grid structure of newly built or expanded substations and transmission lines;

[0028] Optimize distributed power source access solutions in terms of access points, access capacity, energy storage configuration, and demand response.

[0029] Determine the energy storage system configuration scheme, including its scale, type, and deployment location;

[0030] Flexible load management solutions for load interruption or load adjustment;

[0031] Sensor quantity optimization scheme;

[0032] Advanced metering infrastructure optimization scheme;

[0033] Power distribution automation optimization scheme.

[0034] Based on the same inventive concept, this invention also provides a power distribution network planning and design system under the energy internet, comprising:

[0035] The initial data acquisition module is used to acquire the total capacity of distributed power sources, local load, and the limit value of distributed power sources that the distribution network can accept within the planned distribution area under the energy internet.

[0036] The source-load coordination strategy determination module is used to substitute the total capacity of distributed power sources and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and to obtain the source-load coordination strategy based on the source-load comparison result.

[0037] The source-grid coordination strategy determination module is used to substitute the total capacity of distributed generation and the limit value of distributed generation that the distribution network can accept into the source-grid comparison algorithm to obtain the source-grid comparison result, and obtain the source-grid coordination strategy based on the source-grid comparison result.

[0038] The load-grid coordination strategy determination module is used to substitute the local load and the distribution network’s limit on the capacity of distributed generation into the load-grid comparison algorithm to obtain the load-grid comparison result, and to obtain the load-grid coordination strategy based on the load-grid comparison result.

[0039] The integrated planning scheme generation module is used to generate integrated planning schemes that include grid expansion, distributed power source access, energy storage configuration, and flexible load guidance based on source-load coordination strategy, source-grid coordination strategy, load-grid coordination strategy, and integrated optimization objectives.

[0040] The planning and design scheme determination module is used to collaboratively optimize the comprehensive planning scheme based on a multi-objective optimization model, and determine the smart distribution network planning and design scheme for the distribution area to be planned.

[0041] Preferably, the source-load coordination strategy determination module is specifically used for:

[0042] By comparing the total capacity of distributed power sources with the local load, the source-load comparison results are obtained.

[0043] When the source-load comparison result is that the total capacity of the distributed power source is less than or equal to the local load, the source-load coordination strategy is the distributed power source access point optimization strategy and / or the load-side flexible scheduling optimization strategy.

[0044] When the source-load comparison result shows that the total capacity of distributed power sources is greater than the local load, the source-load coordination strategy is the external transmission channel assessment strategy and / or the demand-side response strategy.

[0045] Preferably, the source-network coordination strategy determination module is specifically used for:

[0046] By comparing the total capacity of distributed generation sources with the maximum value of distributed generation sources that the distribution network can accommodate, the source-network comparison results are obtained.

[0047] When the source-network comparison result is that the total capacity of distributed generation is less than or equal to the limit value of distributed generation that the distribution network can accept, the source-network coordination strategy is the distributed generation access point optimization strategy and / or local network structure optimization strategy.

[0048] When the source-grid comparison result is that the total capacity of distributed generation is greater than the limit value of distributed generation that the distribution network can accept, the source-grid coordination strategy is the first distribution network structure expansion strategy; wherein the first distribution network structure expansion strategy includes at least one of the following: line transmission capacity improvement strategy, transformer capacity improvement strategy, and network structure strengthening strategy.

[0049] Preferably, the load-grid coordination strategy determination module is specifically used for:

[0050] By comparing the local load and the limit of distributed generation capacity that the distribution network can accommodate, the load-network comparison results are obtained.

[0051] When the load-grid comparison result is that the local load is less than the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the operation optimization strategy.

[0052] When the load-grid comparison result is that the local load is greater than or equal to the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the second distribution network expansion strategy; the second distribution network expansion strategy includes at least one of the following: substation number expansion strategy, line capacity expansion strategy, and power flow distribution optimization strategy.

[0053] Preferably, the comprehensive optimization objectives include one or more of the following: minimizing investment costs, maximizing operational efficiency, optimizing power supply reliability, and meeting the multi-energy complementarity requirements of the energy internet.

[0054] Preferably, the limit value of distributed generation that the distribution network can accept is determined by comprehensively considering the distribution network operation data to ensure the safe and stable operation of the power grid after the planned distribution area is connected to distributed generation;

[0055] Distribution network operation data includes at least one of the following: voltage deviation data, power flow limitation data, short-circuit current breaking capacity data, and relay protection coordination data.

[0056] Preferably, a comprehensive planning scheme is generated that includes grid expansion, distributed power source access, energy storage configuration, and flexible load steering, including one or more of the following:

[0057] Optimization scheme for the grid structure of newly built or expanded substations and transmission lines;

[0058] Optimize distributed power source access solutions in terms of access points, access capacity, energy storage configuration, and demand response.

[0059] Determine the energy storage system configuration scheme, including its scale, type, and deployment location;

[0060] Flexible load management solutions for load interruption or load adjustment;

[0061] Sensor quantity optimization scheme;

[0062] Advanced metering infrastructure optimization scheme;

[0063] Power distribution automation optimization scheme.

[0064] Based on the same inventive concept, the present invention also provides an electronic device, comprising: at least one processor and a memory; wherein the memory and the processor are connected via a bus;

[0065] The memory is used to store one or more programs;

[0066] When the one or more programs are executed by the at least one processor, a distribution network planning and design method under the energy internet as described above is implemented.

[0067] Based on the same inventive concept, the present invention also provides a readable storage medium having an executable program stored thereon, which, when executed, implements the aforementioned method for planning and designing a power distribution network under an energy internet.

[0068] Compared with the closest existing technology, the present invention has the following beneficial effects:

[0069] This invention provides a method for planning and designing a distribution network under the Energy Internet, comprising: obtaining the total capacity of distributed generation sources, local load, and the distribution network's limit on the number of distributed generation sources that can be accommodated in the planned distribution area under the Energy Internet; substituting the total capacity of distributed generation sources and local load into a source-load comparison algorithm to obtain source-load comparison results, and obtaining a source-load coordination strategy based on the source-load comparison results; substituting the total capacity of distributed generation sources and the distribution network's limit on the number of distributed generation sources that can be accommodated into a source-grid comparison algorithm to obtain source-grid comparison results, and obtaining a source-grid coordination strategy based on the source-grid comparison results; substituting the local load and the distribution network's limit on the number of distributed generation sources that can be accommodated into a load-grid comparison algorithm to obtain load-grid comparison results, and obtaining a load-grid coordination strategy based on the load-grid comparison results; generating a comprehensive planning scheme including grid expansion, distributed generation source access, energy storage configuration, and flexible load guidance based on the source-load coordination strategy, the source-grid coordination strategy, the load-grid coordination strategy, and the comprehensive optimization objective; and performing collaborative optimization of the comprehensive planning scheme based on a multi-objective optimization model to determine the smart distribution network planning and design scheme for the planned distribution area. This invention evaluates multiple indicators, including the total capacity of distributed power sources, local load, and the limit of distributed power sources that the distribution network can accommodate. By using comparison algorithms and coordination strategies, it ultimately generates a smart distribution network planning and design scheme for the distribution area to be planned. This forms a complete distribution network planning and design scheme with higher reliability, based on the overall perspective of source-grid-load-storage coordination and optimization. Attached Figure Description

[0070] Figure 1 This invention provides a flowchart illustrating a distribution network planning and design method under the energy internet framework.

[0071] Figure 2 A structural diagram of a power distribution network planning and design system under the energy internet provided by the present invention;

[0072] Figure 3 A schematic diagram of the electronic device provided by the present invention. Detailed Implementation

[0073] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals 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 present invention, and should not be construed as limiting the present invention.

[0074] Before introducing the technical solution provided by this invention, a brief introduction will be given to the traditional paradigm and related concepts that help to understand power distribution network planning in this invention.

[0075] Load forecasting: The core starting point of traditional distribution network planning is load forecasting, which uses historical data and socio-economic development trends to predict the electricity demand in different regions and at different times in the future, and uses this as the basis for planning capacity.

[0076] Power grid topology optimization: The topology of distribution networks is usually divided into radial, ring, and mesh types. During planning, the selection and optimization should be based on factors such as power supply reliability requirements, investment costs, and operational flexibility.

[0077] Substation location and capacity determination: Based on the load center and voltage level requirements, determine the geographical location and transformer capacity of the substation to meet the power supply needs of the regional load.

[0078] Reliability assessment and the N-1 principle: Traditional reliability assessments typically use indicators such as SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index), and follow the N-1 principle, which states that if any component in the power grid fails, other components can still operate normally, ensuring that the load is not affected. This is an important safety margin consideration in distribution network planning.

[0079] Power flow calculation and short-circuit current calculation are fundamental to distribution network analysis and planning. Power flow calculation is used to analyze the voltage and power distribution at various points in the power grid to ensure that the voltage is within the allowable range. Short-circuit current calculation is used to verify the breaking capacity of switching equipment and the coordination of protection settings to ensure the safety of the power grid during faults.

[0080] Distributed power generation technology refers to power generation facilities located near users, operating independently or grid-connected in a small-scale, modular manner, such as photovoltaics, small wind turbines, and gas turbines. The integration of distributed power sources can have both positive and negative impacts on the distribution network. For example, it can provide local power support, reduce network losses, and delay grid upgrades, but it may also bring voltage fluctuations, reverse power flow, harmonic pollution, and protection coordination issues.

[0081] Distributed power generation grid connection standards: National or industry standards such as "Technical Regulations for Distributed Power Generation Connection to the Power Grid" (Q / GDW480-2010) and "Technical Regulations for Distributed Power Generation Connection to the Power Grid" (NB / T32015) specify the technical requirements for distributed power generation connection to the power grid, including specific parameters and test methods for voltage, frequency, power quality, protection, and automation functions. These standards form the basis for assessing the distribution network's capacity to accommodate distributed power generation.

[0082] Energy storage technology refers to devices that can store energy and release it when needed, such as battery energy storage systems, pumped water storage, and flywheel energy storage.

[0083] Smart distribution network: Based on the traditional distribution network, it integrates advanced technologies such as sensing and measurement, communication, information processing, and control decision-making, realizing the intelligence, automation, and interactivity of the distribution network, and has the characteristics of self-healing, optimization, interaction, and integration.

[0084] Example 1:

[0085] This invention provides a method for planning and designing a distribution network under the energy internet, specifically, Figure 1 A flowchart illustrating the distribution network planning and design method under the energy internet provided in this embodiment of the invention is shown in the figure, including the following steps:

[0086] S1: Obtain the total capacity of distributed power sources, local load, and the limit value of distributed power sources that the distribution network can accept in the planned distribution area under the energy internet.

[0087] S2: Substitute the total capacity of the distributed power source and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and obtain the source-load coordination strategy based on the source-load comparison result.

[0088] S3: Substitute the total capacity of distributed generation and the limit value of distributed generation that the distribution network can accept into the source-network comparison algorithm to obtain the source-network comparison result, and obtain the source-network coordination strategy based on the source-network comparison result;

[0089] S4: Substitute the local load and the limit value of distributed generation that the distribution network can accept into the load-grid comparison algorithm to obtain the load-grid comparison result, and obtain the load-grid coordination strategy based on the load-grid comparison result.

[0090] S5: Based on the source-load coordination strategy, source-grid coordination strategy, load-grid coordination strategy, and comprehensive optimization objectives, generate a comprehensive planning scheme that includes grid expansion, distributed power source access, energy storage configuration, and flexible load guidance.

[0091] S6: Based on the multi-objective optimization model, the comprehensive planning scheme is collaboratively optimized to determine the smart distribution network planning and design scheme for the distribution area to be planned.

[0092] This invention evaluates multiple indicators, including the total capacity of distributed power sources, local load, and the limit of distributed power source acceptance in the distribution network. Using comparison algorithms and coordination strategies, it ultimately generates a smart distribution network planning and design scheme for the distribution area to be planned. This solves the technical bottlenecks in the distribution network under the background of the energy internet in terms of efficient acceptance of distributed power sources, coordinated optimization of multiple elements such as source-grid-load-storage, and improvement of power supply capacity and reliability. It forms a complete distribution network planning and design scheme with higher reliability based on the overall perspective of source-grid-load-storage coordination and optimization.

[0093] In this invention, the initial data of the planned power distribution area under the energy internet are first obtained, including: the total capacity of distributed power sources, the local load, and the limit value of distributed power sources that the power distribution network can accept within the planned power distribution area under the energy internet.

[0094] Total capacity of distributed power sources (P) DG ): Collect or predict the total capacity of distributed power sources (such as photovoltaic, wind power, etc.) that have been planned or will be connected within the planned power distribution area.

[0095] Local load (P) L ): Collect or predict the real-time or predicted local load within the planned power distribution area.

[0096] The maximum number of distributed generation sources that a distribution network can accommodate (P) Max According to publicly available technology, this value is determined by the technical requirements and calculation methods for different voltage levels in the "Technical Regulations for Distributed Power Generation Access to the Power Grid" (0 / GDW480-2010) and "Technical Regulations for Distributed Power Generation Access to the Power Grid" (NB / T32015). Specifically, the limit value of distributed power generation that a distribution network can accept is determined comprehensively by the distribution network operation data that ensures the safe and stable operation of the power grid after the planned distribution area is connected to distributed power generation; the distribution network operation data includes at least one of voltage deviation data, power flow limitation data, short-circuit current breaking capacity data, and relay protection coordination data.

[0097] After obtaining the above data, in some optional implementations, the total capacity of the distributed power source and the local load are substituted into the source-load comparison algorithm to obtain the source-load comparison result. Based on the source-load comparison result, a source-load coordination strategy is obtained, including:

[0098] By comparing the total capacity of distributed power sources with the local load, the source-load comparison results are obtained.

[0099] When the source-load comparison result is that the total capacity of the distributed power source is less than or equal to the local load, the source-load coordination strategy is the distributed power source access point optimization strategy and / or the load-side flexible scheduling optimization strategy.

[0100] When the source-load comparison result shows that the total capacity of distributed power sources is greater than the local load, the source-load coordination strategy is the external transmission channel assessment strategy and / or the demand-side response strategy.

[0101] Specifically, if P DG ≤P L This indicates that the capacity of distributed generation can be fully absorbed by the local load. This means that under current conditions, the power generated by distributed generation can prioritize meeting local load demand, contributing to local power balancing and reducing reliance on power transmission from the upper-level grid. Further planning could include optimizing the connection points of distributed generation or considering flexible load-side scheduling.

[0102] If P DG >P L This indicates that the distributed power generation capacity cannot be fully absorbed by the local load. This means there is excess distributed power output that needs to be transmitted or stored. In this case, planning should consider the following measures to promote absorption and optimization:

[0103] External power transmission channel assessment: Assess whether the existing distribution network has sufficient external transmission capacity to transmit excess power to the upstream grid. Energy storage configuration: Consider configuring energy storage systems to store excess distributed generation power and release it during peak load periods or when distributed generation output is insufficient.

[0104] Demand-side response / flexible load guidance: Incentive measures are used to guide users to adjust their electricity consumption patterns, increase the load during the output periods of distributed power sources, and thus improve the local consumption rate.

[0105] In some optional implementations, the total capacity of distributed generation sources and the distribution network's limit on the number of distributed generation sources that can be accommodated are substituted into the source-network comparison algorithm to obtain the source-network comparison result. Based on the source-network comparison result, a source-network coordination strategy is obtained, including:

[0106] By comparing the total capacity of distributed generation sources with the maximum value of distributed generation sources that the distribution network can accommodate, the source-network comparison results are obtained.

[0107] When the source-network comparison result is that the total capacity of distributed generation is less than or equal to the limit value of distributed generation that the distribution network can accept, the source-network coordination strategy is the distributed generation access point optimization strategy and / or local network structure optimization strategy.

[0108] When the source-grid comparison result is that the total capacity of distributed generation is greater than the limit value of distributed generation that the distribution network can accept, the source-grid coordination strategy is the first distribution network structure expansion strategy; wherein the first distribution network structure expansion strategy includes at least one of the following: line transmission capacity improvement strategy, transformer capacity improvement strategy, and network structure strengthening strategy.

[0109] Specifically, if P DG <P MaxThis indicates that the distribution network can handle the current or planned capacity of distributed generation sources. In this case, the grid is operating stably, and large-scale grid expansion is unnecessary. Planning can continue to optimize the selection of access points, or consider small-scale grid adjustments to improve efficiency.

[0110] If P DG ≥P Max This indicates that the capacity of distributed generation has exceeded or is about to exceed the carrying capacity limit of the existing distribution network. At this point, network expansion planning is required. This network expansion plan aims to:

[0111] Improve the transmission capacity of the lines: such as increasing the cross-section of the lines or building new lines.

[0112] Increase transformer capacity: increase the capacity of the main transformer or build a new substation.

[0113] Strengthen the grid structure: Improve the overall carrying capacity of the power grid by increasing interconnection lines and forming local ring networks.

[0114] Key objective: Ensure the expanded network can meet the new distributed power supply access requirements, i.e., re-evaluate P after network expansion. Max P should be made DG <P Max Established.

[0115] In some optional implementations, the local load and the distribution network's capacity to accommodate distributed generation limits are substituted into the load-grid comparison algorithm to obtain the load-grid comparison result. Based on the load-grid comparison result, a load-grid coordination strategy is obtained, including:

[0116] By comparing the local load and the limit of distributed generation capacity that the distribution network can accommodate, the load-network comparison results are obtained.

[0117] When the load-grid comparison result is that the local load is less than the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the operation optimization strategy.

[0118] When the load-grid comparison result is that the local load is greater than or equal to the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the second distribution network expansion strategy; the second distribution network expansion strategy includes at least one of the following: substation number expansion strategy, line capacity expansion strategy, and power flow distribution optimization strategy.

[0119] Specifically, if P L <P Max This indicates that the distribution network can meet current or predicted load growth demands and has sufficient power supply margin. The plan allows for further optimization of operational strategies to improve economic efficiency.

[0120] If P L ≥P MaxThis indicates that the load growth has exceeded or is about to exceed the power supply capacity of the existing distribution network. In this case, a network expansion plan is needed. This network expansion plan aims to:

[0121] Increase the capacity of substations and transmission lines to meet the growing load demand.

[0122] Optimize power flow distribution and reduce line losses.

[0123] Key objective: Ensure the expanded grid can meet the new load demands, i.e., reassess the P after the grid expansion. Max P should be made L <P Max Established.

[0124] After obtaining the judgment results based on source-load coordination, source-grid coordination, and load-grid coordination, the comprehensive planning scheme for the distribution network is generated by further taking into account investment costs, operational efficiency, reliability targets, and the development needs of the energy internet.

[0125] Specifically, based on the source-load coordination strategy, source-grid coordination strategy, and load-grid coordination strategy, and in conjunction with the comprehensive optimization objectives, a comprehensive planning scheme is generated. These comprehensive optimization objectives include one or more of the following: minimizing investment costs, maximizing operational efficiency, optimizing power supply reliability, and meeting the multi-energy complementarity requirements of the energy internet.

[0126] In some optional implementations, a comprehensive planning scheme is generated that includes grid expansion, distributed power source integration, energy storage configuration, and flexible load steering, including one or more of the following:

[0127] Optimization scheme for the grid structure of newly built or expanded substations and transmission lines;

[0128] Optimize distributed power source access solutions in terms of access points, access capacity, energy storage configuration, and demand response.

[0129] Determine the energy storage system configuration scheme, including its scale, type, and deployment location;

[0130] Flexible load management solutions for load interruption or load adjustment;

[0131] Sensor quantity optimization scheme;

[0132] Advanced metering infrastructure optimization scheme;

[0133] Power distribution automation optimization scheme.

[0134] Specifically, a comprehensive power distribution network planning scheme may include:

[0135] Grid structure optimization scheme: build new or expand substations and lines, optimize line routes and interconnection methods to improve the grid's carrying capacity and flexibility.

[0136] Distributed power source access solutions: Optimize the access points and access capacity of distributed power sources, and consider supporting energy storage configurations or demand response measures.

[0137] Energy storage system configuration scheme: Determine the scale, type and deployment location of energy storage to assist distributed power generation in absorbing peak and valley loads and providing ancillary services.

[0138] Flexible load management scheme: guide interruptible loads and adjustable loads to participate in grid interaction, and improve system flexibility.

[0139] Other intelligent device configurations include the installation of more sensors, AMI (Advanced Metering Infrastructure), and FTU / DTU (Feeder Terminal Unit / Distribution Terminal Unit) to provide data support for intelligent decision-making.

[0140] After generating a comprehensive planning scheme that includes grid expansion, distributed power source access, energy storage configuration, and flexible load guidance, the comprehensive planning scheme is further optimized collaboratively based on a multi-objective optimization model to determine the smart distribution network planning and design scheme for the distribution area to be planned.

[0141] In some specific implementations, multiple integrated planning schemes can be generated with different weights to obtain the final smart distribution network planning and design scheme for the distribution area to be planned.

[0142] In some specific implementations, conflicting objectives may exist among multiple integrated planning schemes, meaning that improving one objective may worsen one or more other objectives. In such cases, Pareto optimal solutions can be sought, and as many Pareto optimal solutions as possible can be found to obtain a smart distribution network planning and design scheme for the distribution area to be planned.

[0143] Therefore, this invention does not impose specific limitations on the method of collaborative optimization, and any feasible optimization method is within the scope of protection claimed by this invention.

[0144] In some alternative implementations, the reliability of the power distribution network can also be improved. Specifically, reliability improvement is a continuous process, aiming to optimize for reducing outage frequency, duration, and extent of power outages. This can be achieved in the following ways:

[0145] Network redundancy and self-healing capabilities at the planning level: In network expansion planning, not only capacity is considered, but also the interconnectivity of the network is improved to provide a path for fault isolation and recovery.

[0146] Equipment selection and configuration: Plan for more reliable equipment, such as fault indicators, automatic sectionalizers, reclosers and other intelligent power distribution automation equipment.

[0147] Reliability support for distributed power sources: The plan is to enable distributed power sources to provide local support during grid failures, and even to form islanded operation when conditions permit, so as to provide uninterrupted power supply to important loads.

[0148] Operation and maintenance management optimization (planning considerations): Although these are measures for the operation phase, the planning stage should consider how to facilitate future operation and maintenance, such as selecting equipment with high maintainability and zoning the network structure to facilitate fault location and isolation.

[0149] The following describes a distribution network planning method based on the maximum access capacity of distributed generation sources, using existing technologies. This includes:

[0150] 1. Load forecasting and traditional grid planning: Based on the regional load growth trend, conventional load forecasting is carried out, and a preliminary distribution network structure is formed according to traditional distribution network planning methods.

[0151] 2. Preliminary determination of distributed power source access points and capacity: Based on the distribution of renewable energy resources and user demand, the potential access points and estimated capacity of distributed power sources are preliminarily determined.

[0152] 3. Grid Capacity Assessment: For each pre-defined distributed power generation access point and capacity, a grid capacity assessment is conducted. This assessment typically focuses on:

[0153] (1) Voltage deviation verification: Through power flow calculation, check whether the voltage of the access point and surrounding nodes is within the allowable range after the distributed power source is connected. If it exceeds the limit, it is considered that the access point or the capacity is not allowed to be connected;

[0154] (2) Short-circuit current verification: assess whether the system short-circuit current exceeds the breaking capacity of the existing circuit breaker after the distributed power source is connected;

[0155] (3) Power flow overload check: Check whether the line or transformer is overloaded;

[0156] (4) Calculate the maximum access capacity: Through iterative or optimization algorithms, under the premise of satisfying the above constraints, calculate the maximum distributed power capacity that each access point or area can access.

[0157] 4. Partial network structure modification or access restriction: If the existing network structure cannot meet the access requirements of distributed power sources, partial network structure modification measures should be taken, or the access capacity of distributed power sources should be simply restricted.

[0158] 5. Simplified reliability considerations: In grid planning, the N-1 principle may be considered, but the impact of fault self-healing or backup support with the participation of distributed power sources on the overall reliability is usually not considered in depth.

[0159] While the methods described above in the prior art take into account the integration of distributed power sources, they have the following limitations, including:

[0160] 1. Single or isolated evaluation indicators: The above methods mainly focus on verifying electrical indicators such as voltage and current, lacking a comprehensive consideration of the dynamic interaction between distributed power sources, loads, and energy storage. For example, they may only evaluate the static impact of distributed power source access, without fully considering the dynamic matching relationship between distributed power source output and local load, as well as the role of energy storage systems in optimizing source-load balance.

[0161] 2. Lack of deep coordination among "source-grid-load-storage": Although the access capacity of distributed power sources may be assessed, the planning strategies are often linear and localized, failing to form a complete coordination and optimization mechanism based on a holistic perspective of "source-grid-load-storage". For example, when the capacity of distributed power sources is too large, it may only be solved by expanding the grid, without prioritizing more economical and flexible "source-load coordination" and "load-grid coordination" strategies such as energy storage absorption and flexible load guidance.

[0162] 3. The maximum acceptable value P for distributed generation in the distribution network Max Insufficient utilization: While existing technologies may be able to calculate the limit of distributed generation capacity that a distribution network can accommodate, this is usually treated as a static constraint rather than a driving factor for dynamic programming, and it also fails to correlate it with the local load P. L This requires close correlation to guide the lean transformation of the power grid or the improvement of power supply capacity. It might only output "not accepted here" without providing a better, multi-dimensional solution.

[0163] 4. Reliability improvement strategies are relatively lagging: Traditional reliability assessment and improvement strategies are mainly based on centralized power supply and unidirectional power flow. They do not adequately consider the positive impact of distributed power supply on reliability (such as providing local support and achieving self-healing), and fail to fully utilize the new features of the energy internet to improve overall power supply reliability.

[0164] 5. Limited optimization of planning and decision-making: Due to the lack of an overall framework for multi-factor coordination, planning and decision-making are often suboptimal, which may lead to redundant investment, waste of resources, or failure to fully tap the potential of the distribution network.

[0165] Building upon this foundation, the present invention introduces a deep coordination concept of "source-grid-load-storage" and innovatively increases the total distributed power capacity P. DG Local load P L The limit value P that the distribution network can accept for distributed generation Max By conducting dynamic comparisons and decisions, a more comprehensive, efficient, and adaptable smart distribution network planning method can be provided to meet the development needs of the energy internet.

[0166] The main drawbacks of existing technologies:

[0167] 1. Insufficient capacity to absorb distributed power sources: Traditional planning does not fully consider the intermittent and fluctuating characteristics of distributed power sources and their impact on the reverse power flow of the grid. This can lead to problems such as voltage exceeding limits and power flow obstruction when a large number of distributed power sources are connected, thus limiting the effective absorption of distributed power sources.

[0168] 2. Insufficient coordination and optimization of "source-grid-load-storage": Existing planning methods often focus on the optimization of a single element (such as the grid side), lacking overall coordination and optimization of multiple elements such as power source, grid, load and energy storage, making it difficult to fully realize the comprehensive benefits of the energy internet, such as achieving flexible balance between power supply and demand and efficient use of resources.

[0169] 3. Challenges to Reliability Improvement: While traditional planning also focuses on reliability, the randomness of distributed generation and the diversity of failure modes in the context of the Energy Internet bring new uncertainties to the reliable operation of the distribution network. Existing methods may not be able to effectively address these new reliability risks, and it is difficult to achieve significant breakthroughs in reducing outage frequency, outage duration, and outage scope.

[0170] 4. Poor adaptability of planning models: Traditional planning models are relatively rigid and difficult to adapt flexibly to the technological changes and market demands of the rapid development of the energy internet. They also lack the ability to support new energy use models and multi-energy integration.

[0171] The purpose of this invention is to provide a smart distribution network planning method to overcome the shortcomings of existing technologies in terms of distributed power source absorption, multi-factor coordination optimization, and reliability improvement.

[0172] This invention upgrades the traditional distribution network from simple capacity expansion and grid structure development to dynamic evaluation and multi-dimensional coordination by constructing a planning process based on a coordinated optimization model of "source-grid-load-storage". This is achieved by systematically acquiring and comparing the capacity of distributed generation sources (P... DG ), local load (P) L ) and the limit value of distributed generation that the distribution network can accept (P) MaxIt accurately identifies the weak links in the distribution network and intelligently generates comprehensive planning schemes that include network expansion, energy storage configuration, and flexible load guidance, ultimately achieving a significant improvement in the power supply capacity and reliability of the distribution network, and effectively supporting the access of distributed power sources and the integration of multiple energy sources.

[0173] The present invention achieves the following technical effects:

[0174] (1) Significantly improve the distribution network’s ability to accept large-scale distributed power sources: Through precise assessment and dynamic adjustment, the absorption problem that may be caused by the access of large-scale distributed power sources has been effectively solved, promoting the efficient and full utilization of new energy sources.

[0175] (2) Optimize the coordinated operation of “source-grid-load-storage”: realize in-depth coordinated planning of multiple elements such as power source, grid, load and energy storage, and improve the overall operating efficiency, flexibility and economy of distribution network.

[0176] (3) Comprehensively improve power supply capacity and reliability: In the context of the energy internet, combined with the distribution network's limit value P for accepting distributed power sources. Max Dynamic considerations and targeted network optimization, as well as comprehensive control over the frequency, duration, and scope of power outages, significantly improve the power supply capacity and reliability of the distribution network in complex environments, and reduce the risk of power outages.

[0177] (4) Enhance the adaptability and foresight of planning: It provides a flexible planning framework for the energy internet, which can better cope with the challenges brought about by future changes in energy structure and innovation in energy use patterns.

[0178] (5) Supporting extensive interaction and multi-energy integration: It provides a planning basis for extensive interaction between distribution networks and users, and multi-energy systems, and promotes the healthy development of the energy internet.

[0179] The key point of this invention lies in proposing and implementing a smart distribution network planning method based on a fundamental "source-grid-load-storage" coordinated optimization model. This method upgrades traditional distribution network planning by dynamically evaluating and coordinating multiple energy elements to adapt to the development needs of the energy internet. The core key points are reflected in the following aspects:

[0180] (1) Deeply coordinated planning framework of “source-grid-load-storage”: Unlike traditional planning that focuses solely on grid structure and capacity, this invention coordinates and optimizes the four major elements of distributed power source (source), distribution network (grid), load (load) and energy storage (storage) as an organic whole, realizing dynamic interaction and collaborative planning among the elements.

[0181] (2) "P DG -P L -P Max"Three-dimensional dynamic coordination and judgment mechanism: by explicitly comparing the total capacity of distributed power sources (P)" DG ), local load (P) L ) and the limit value of distributed generation that the distribution network can accept (P) Max ),can:

[0182] Achieving source-load coordination: through P DG With P L By comparing the results, we can determine whether the distributed power source can be fully absorbed by the local load and guide the local utilization strategy of the distributed power source.

[0183] Achieving source-network coordination: through P DG With P Max By comparing the existing distribution network with the distributed generation capacity, we can determine the capacity of the existing distribution network to support distributed generation and use this as a direct basis for whether to plan for network expansion.

[0184] Achieving load-grid coordination: through P L With P Max The comparison helps determine whether load growth exceeds the capacity of the distribution network, and also guides the network expansion plan.

[0185] Such dynamic comparison and interaction among these three elements is something that has not been seen or systematically applied to planning and decision-making in existing technologies.

[0186] (3) With P Max Dynamic assessment and planning driven by P: Unlike P Max As a static constraint, this invention will use P Max As a key parameter in the planning, it is dynamically compared with the actual source and load conditions, thereby accurately driving the optimization of the distribution network structure and the improvement of power supply capacity.

[0187] (4) Comprehensive benefit enhancement for multiple objectives of the energy internet: Through the above coordination mechanism, not only is the acceptance capacity of distributed power sources improved, but also the power supply capacity and reliability of the distribution network are improved, and it supports extensive interaction and multi-energy integration, so as to achieve the unity of economic, environmental and social benefits.

[0188] Example 2:

[0189] Based on the same inventive concept, this invention also provides a distribution network planning and design system 200 under the energy internet, the system structure of which is as follows: Figure 2 As shown, the system 200 includes:

[0190] The initial data acquisition module 201 is used to acquire the total capacity of distributed power sources, local load, and the limit value of distributed power sources that the distribution network can accept within the planned distribution area under the energy internet.

[0191] The source-load coordination strategy determination module 202 is used to substitute the total capacity of distributed power sources and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and to obtain the source-load coordination strategy based on the source-load comparison result.

[0192] The source-network coordination strategy determination module 203 is used to substitute the total capacity of distributed generation and the limit value of distributed generation that the distribution network can accept into the source-network comparison algorithm to obtain the source-network comparison result, and to obtain the source-network coordination strategy based on the source-network comparison result.

[0193] The load-grid coordination strategy determination module 204 is used to substitute the local load and the limit value of the distributed generation that the distribution network can accept into the load-grid comparison algorithm to obtain the load-grid comparison result, and to obtain the load-grid coordination strategy based on the load-grid comparison result.

[0194] The integrated planning scheme generation module 205 is used to generate an integrated planning scheme that includes grid expansion, distributed power source access, energy storage configuration, and flexible load guidance based on source-load coordination strategy, source-grid coordination strategy, load-grid coordination strategy, and integrated optimization objectives.

[0195] The planning and design scheme determination module 206 is used to collaboratively optimize the comprehensive planning scheme based on a multi-objective optimization model, and determine the smart distribution network planning and design scheme for the distribution area to be planned.

[0196] Preferably, the source-load coordination strategy determination module 202 is specifically used for:

[0197] By comparing the total capacity of distributed power sources with the local load, the source-load comparison results are obtained.

[0198] When the source-load comparison result is that the total capacity of the distributed power source is less than or equal to the local load, the source-load coordination strategy is the distributed power source access point optimization strategy and / or the load-side flexible scheduling optimization strategy.

[0199] When the source-load comparison result shows that the total capacity of distributed power sources is greater than the local load, the source-load coordination strategy is the external transmission channel assessment strategy and / or the demand-side response strategy.

[0200] Preferably, the source-network coordination strategy determination module 203 is specifically used for:

[0201] By comparing the total capacity of distributed generation sources with the maximum value of distributed generation sources that the distribution network can accommodate, the source-network comparison results are obtained.

[0202] When the source-network comparison result is that the total capacity of distributed generation is less than or equal to the limit value of distributed generation that the distribution network can accept, the source-network coordination strategy is the distributed generation access point optimization strategy and / or local network structure optimization strategy.

[0203] When the source-grid comparison result is that the total capacity of distributed generation is greater than the limit value of distributed generation that the distribution network can accept, the source-grid coordination strategy is the first distribution network structure expansion strategy; wherein the first distribution network structure expansion strategy includes at least one of the following: line transmission capacity improvement strategy, transformer capacity improvement strategy, and network structure strengthening strategy.

[0204] Preferably, the load-network coordination strategy determination module 204 is specifically used for:

[0205] By comparing the local load and the limit of distributed generation capacity that the distribution network can accommodate, the load-network comparison results are obtained.

[0206] When the load-grid comparison result is that the local load is less than the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the operation optimization strategy.

[0207] When the load-grid comparison result is that the local load is greater than or equal to the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the second distribution network expansion strategy; the second distribution network expansion strategy includes at least one of the following: substation number expansion strategy, line capacity expansion strategy, and power flow distribution optimization strategy.

[0208] Preferably, the comprehensive optimization objectives include one or more of the following: minimizing investment costs, maximizing operational efficiency, optimizing power supply reliability, and meeting the multi-energy complementarity requirements of the energy internet.

[0209] Preferably, the limit value of distributed generation that the distribution network can accept is determined by comprehensively considering the distribution network operation data to ensure the safe and stable operation of the power grid after the planned distribution area is connected to distributed generation;

[0210] Distribution network operation data includes at least one of the following: voltage deviation data, power flow limitation data, short-circuit current breaking capacity data, and relay protection coordination data.

[0211] Preferably, a comprehensive planning scheme is generated that includes grid expansion, distributed power source access, energy storage configuration, and flexible load steering, including one or more of the following:

[0212] Optimization scheme for the grid structure of newly built or expanded substations and transmission lines;

[0213] Optimize distributed power source access solutions in terms of access points, access capacity, energy storage configuration, and demand response.

[0214] Determine the energy storage system configuration scheme, including its scale, type, and deployment location;

[0215] Flexible load management solutions for load interruption or load adjustment;

[0216] Sensor quantity optimization scheme;

[0217] Advanced metering infrastructure optimization scheme;

[0218] Power distribution automation optimization scheme.

[0219] Example 3:

[0220] Based on the same inventive concept, such as Figure 3 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0221] The processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in a readable storage medium to implement the corresponding method flow or corresponding function, so as to realize the steps of a distribution network planning and design method under the energy Internet in the above embodiments.

[0222] Example 4:

[0223] Based on the same inventive concept, this invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the readable storage medium here can include both the built-in storage medium within the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the storage medium to implement the steps of a power distribution network planning and design method under an energy internet as described in the above embodiments.

[0224] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0225] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will 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 apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0226] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function 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 1The function specified in one or more boxes.

[0227] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0228] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the present invention, they can still make various changes, modifications or equivalent substitutions to the specific implementation of the application, but these changes, modifications or equivalent substitutions are all within the scope of protection of the claims pending approval.

Claims

1. A method for planning and designing a distribution network under the energy internet, characterized in that, include: Obtain the total capacity of distributed power sources, local load, and the maximum value of distributed power sources that the distribution network can accommodate within the planned distribution area under the energy internet; Substitute the total capacity of the distributed power source and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and obtain the source-load coordination strategy based on the source-load comparison result. The total capacity of the distributed generation and the limit value of the distributed generation that the distribution network can accept are substituted into the source-network comparison algorithm to obtain the source-network comparison result, and the source-network coordination strategy is obtained based on the source-network comparison result. Substitute the local load and the distribution network’s limit on the number of distributed generation sources that it can accept into the load-grid comparison algorithm to obtain the load-grid comparison result, and obtain the load-grid coordination strategy based on the load-grid comparison result. Based on the source-load coordination strategy, the source-grid coordination strategy, the load-grid coordination strategy, and the comprehensive optimization objective, a comprehensive planning scheme is generated that includes grid expansion, distributed power source access, energy storage configuration, and flexible load guidance. Based on a multi-objective optimization model, the comprehensive planning scheme is collaboratively optimized to determine the smart distribution network planning and design scheme for the distribution area to be planned.

2. The method according to claim 1, characterized in that, The step of substituting the total capacity of the distributed power source and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and obtaining the source-load coordination strategy based on the source-load comparison result, includes: By comparing the total capacity of the distributed power source with the local load, a source-load comparison result is obtained. When the source-load comparison result is that the total capacity of the distributed power source is less than or equal to the local load, the source-load coordination strategy is the distributed power source access point optimization strategy and / or the load-side flexible scheduling optimization strategy. When the source-load comparison result indicates that the total capacity of the distributed power source is greater than the local load, the source-load coordination strategy is an external transmission channel assessment strategy and / or a demand-side response strategy.

3. The method according to claim 1, characterized in that, The step of substituting the total capacity of the distributed generation sources and the distribution network's limit on the number of distributed generation sources it can accommodate into the source-network comparison algorithm to obtain the source-network comparison result, and obtaining the source-network coordination strategy based on the source-network comparison result, includes: By comparing the total capacity of the distributed generation sources with the maximum value of the distributed generation sources that the distribution network can accommodate, the source-network comparison result is obtained. When the source-network comparison result is that the total capacity of the distributed power source is less than or equal to the limit value of the distributed power source that the distribution network can accept, the source-network coordination strategy is the distributed power source access point optimization strategy and / or local network structure optimization strategy. When the source-network comparison result indicates that the total capacity of the distributed power generation is greater than the limit value of the distributed power generation that the distribution network can accommodate, the source-network coordination strategy is the first distribution network structure expansion strategy; wherein the first distribution network structure expansion strategy includes at least one of the following: line transmission capacity enhancement strategy, transformer capacity enhancement strategy, and network structure strengthening strategy.

4. The method according to claim 1, characterized in that, The step of substituting the local load and the distribution network's limit for accepting distributed generation into the load-grid comparison algorithm to obtain the load-grid comparison result, and obtaining the load-grid coordination strategy based on the load-grid comparison result, includes: By comparing the local load with the distribution network's limit on the capacity of distributed generation, a load-network comparison result is obtained. When the load-grid comparison result is that the local load is less than the limit value of distributed generation that the distribution network can accept, the load-grid coordination strategy is the operation optimization strategy. When the load-grid comparison result is that the local load is greater than or equal to the limit value of the distributed generation that the distribution network can accept, the load-grid coordination strategy is the second distribution network expansion strategy; the second distribution network expansion strategy includes at least one of the following: substation number expansion strategy, line capacity expansion strategy, and power flow distribution optimization strategy.

5. The method according to claim 1, characterized in that, The comprehensive optimization objectives include one or more of the following: minimizing investment costs, maximizing operational efficiency, optimizing power supply reliability, and meeting the multi-energy complementarity requirements of the energy internet.

6. The method according to claim 1, characterized in that, The limit value of distributed generation that the distribution network can accept is determined by comprehensive distribution network operation data to ensure the safe and stable operation of the power grid after the planned distribution area is connected to distributed generation; The power distribution network operation data includes at least one of the following: voltage deviation data, power flow limitation data, short-circuit current breaking capacity data, and relay protection coordination data.

7. The method according to claim 1, characterized in that, The generated comprehensive planning scheme, which includes grid expansion, distributed power source access, energy storage configuration, and flexible load steering, includes one or more of the following: Optimization scheme for the grid structure of newly built or expanded substations and transmission lines; Optimize distributed power source access solutions in terms of access points, access capacity, energy storage configuration, and demand response. Determine the energy storage system configuration scheme, including its scale, type, and deployment location; Flexible load management solutions for load interruption or load adjustment; Sensor quantity optimization scheme; Advanced metering infrastructure optimization scheme; Power distribution automation optimization scheme.

8. A power distribution network planning and design system under the energy internet, characterized in that, include: The initial data acquisition module is used to acquire the total capacity of distributed power sources, local load, and the limit value of distributed power sources that the distribution network can accept within the planned distribution area under the energy internet. The source-load coordination strategy determination module is used to substitute the total capacity of the distributed power source and the local load into the source-load comparison algorithm to obtain the source-load comparison result, and to obtain the source-load coordination strategy based on the source-load comparison result. The source-network coordination strategy determination module is used to substitute the total capacity of the distributed power source and the limit value of the distributed power source that the distribution network can accept into the source-network comparison algorithm to obtain the source-network comparison result, and to obtain the source-network coordination strategy based on the source-network comparison result. The load-grid coordination strategy determination module is used to substitute the local load and the distribution network’s limit value for accepting distributed generation into the load-grid comparison algorithm to obtain the load-grid comparison result, and to obtain the load-grid coordination strategy based on the load-grid comparison result. The integrated planning scheme generation module is used to generate an integrated planning scheme that includes grid expansion, distributed power source access, energy storage configuration, and flexible load guidance based on the source-load coordination strategy, the source-grid coordination strategy, the load-grid coordination strategy, and the integrated optimization objective. The planning and design scheme determination module is used to perform collaborative optimization of the comprehensive planning scheme based on a multi-objective optimization model, and determine the smart distribution network planning and design scheme for the distribution area to be planned.

9. An electronic device, characterized in that, include: At least one processor and memory; The memory and processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, a distribution network planning and design method under the energy internet as described in any one of claims 1 to 7 is implemented.

10. A readable storage medium, characterized in that, It contains an execution program, which, when executed, implements a power distribution network planning and design method under the energy internet as described in any one of claims 1 to 7.

Images