Novel AC / DC hybrid power distribution network networking technology for high-energy-level power distribution network

Abstract

The invention discloses a novel alternating-current and direct-current hybrid power distribution network networking technology for a high-energy-level power distribution network, and relates to the technical field of electric power systems. According to the power distribution network networking technology, different networking modes are comprehensively evaluated by constructing a multi-dimensional technical and economic index evaluation system, so that an optimal networking scheme is determined; the system specifically comprises a new energy utilization rate evaluation module, a load response speed evaluation module, a power grid stability evaluation module, an energy transmission efficiency module and a technical economy comparison, selection and optimization module. The technical feasibility and economic benefits under different networking modes can be comprehensively and accurately evaluated, the perfect evaluation indexes cover multiple aspects of the new energy utilization rate, the load response speed, the power grid stability, the energy transmission efficiency, the equipment reliability and the rate of return on investment, and the evaluation of the performance and the benefits of the power grid is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a novel AC / DC hybrid distribution network networking technology for high-energy level distribution networks. Background Art

[0002] With the continuous growth of energy demand and the widespread application of new energy, the power system is facing more and more challenges. As an important part of the power system, high-level distribution networks need to have higher reliability, stability and efficiency to meet the growing energy demand. Traditional distribution network networking technology has gradually revealed its shortcomings in the face of the volatility, uncertainty and diversified load demands of new energy, and it is difficult to adapt to the needs of new energy grid connection and complex operating environment with diversified loads.

[0003] At present, the existing distribution network networking technology only considers the stability of the power grid, but ignores the key performance indicators of new energy utilization rate and load response speed. This single-dimensional evaluation method cannot fully reflect the overall performance of the power grid in a complex operating environment, especially in the face of large-scale access to new energy. The traditional evaluation system often lacks sufficient flexibility and adaptability, lacks real-time and intelligent characteristics, and cannot be dynamically adjusted according to the actual operation of the power grid. In terms of technical and economic comparison and optimization, there is a lack of effective methods that comprehensively consider the access and consumption of new energy, multiple loads, and investment and benefit boundary conditions. It is difficult to formulate the optimal technical and economic optimization plan, resulting in low power grid operation efficiency and difficulty in adapting to the development needs of future power grids.

[0004] In summary, the defects of existing technologies in the evaluation of multi-dimensional technical and economic indicators make it difficult for traditional distribution network networking technology to meet the development needs of high-level distribution networks. Therefore, a new type of AC / DC hybrid distribution network networking technology is needed. By building a complete multi-dimensional technical and economic indicator evaluation system, a comprehensive evaluation and optimization of different networking methods can be achieved to improve the performance and benefits of the power grid. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and provide a new AC / DC hybrid distribution network networking technology for high-level distribution networks. By constructing a multi-dimensional technical and economic indicator evaluation system, it can comprehensively and systematically evaluate the advantages and disadvantages of different networking methods to ensure that the networking solution is optimal in terms of new energy utilization rate, load response speed, grid stability, energy transmission efficiency, and technical and economic performance, thereby significantly improving the overall operating efficiency and economic benefits of the distribution network.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a new AC / DC hybrid distribution network networking technology for high-energy distribution networks, which comprehensively evaluates different networking modes by constructing a multi-dimensional technical and economic indicator evaluation system to determine the optimal networking solution, specifically including: a new energy utilization rate evaluation module, a load response speed evaluation module, a power grid stability evaluation module, an energy transmission efficiency module, and a technical and economic comparison and optimization module;

[0007] The new energy utilization rate evaluation module evaluates the power generation efficiency, transmission efficiency and utilization efficiency of new energy under different networking modes;

[0008] The load response speed assessment module measures the ability of the power grid to respond to load changes, including rapid adjustment of power generation and transmission capabilities;

[0009] The grid stability assessment module analyzes the voltage stability, frequency stability and power balancing capability of the grid under different operating conditions;

[0010] The energy transmission efficiency module takes into account the loss of electric energy during transmission to improve the efficiency of energy utilization;

[0011] The technical and economic comparison and optimization module is based on a multi-dimensional technical and economic evaluation system, conducts technical and economic comparisons on different networking modes, comprehensively considers the boundary conditions of new energy equipment reliability and investment return rate, and formulates a technical and economic optimization plan.

[0012] Furthermore, the specific steps of the new energy utilization rate evaluation module are:

[0013] Data collection: Collect real-time data on renewable energy power generation, including wind and solar renewable energy power generation, power generation, power generation efficiency, and grid operation parameters, namely voltage, current, frequency, and power;

[0014] Power generation efficiency calculation: calculate the total power generation of new energy, measure the loss of new energy during transmission, and the effective power actually reaching the load end;

[0015] Definition of new energy utilization rate: The new energy utilization rate is defined as the ratio of effective power to total power generation;

[0016] Optimize the utilization rate of new energy: Further analyze the utilization rate of new energy under different networking modes, adjust the networking strategy according to actual operation data, and optimize the utilization rate of new energy.

[0017] Furthermore, the new energy utilization rate evaluation module collects the new energy power generation P in real time. gen (t) and loss P loss(t) data, as well as grid operation parameters, namely voltage V(t), current I(t), and frequency f(t), to assist in evaluating the losses during transmission. Based on the collected data, the effective power P reaching the load end at each time point t is calculated. eff (t), that is, P eff (t) = P gen (t)-P loss (t), the new energy utilization rate η is defined as the ratio of effective power to total power generation, that is, Use this formula to calculate the new energy utilization rate at each time point t According to the new energy utilization rate η(t) at each time point t, the new energy utilization rate under different networking modes is analyzed and compared, and the optimal networking strategy is selected to dynamically adjust the networking strategy to optimize the utilization rate of new energy.

[0018] Furthermore, the function implementation steps of the load response speed evaluation module include:

[0019] Load data acquisition: real-time acquisition of load data, including load change curve, load peak, and average load information;

[0020] Load forecasting: forecast future load demand based on historical load data and current load change trends;

[0021] Load response time calculation: Calculate the grid’s response time to load changes based on predicted load demand and actual power generation capacity;

[0022] Load response speed assessment: Load response speed is defined as the time delay for the power grid to meet the load change demand;

[0023] Network strategy adjustment: According to the load response speed evaluation results, the network strategy is dynamically adjusted to optimize the response speed of the power grid.

[0024] Furthermore, the load response time in the load response speed evaluation module is calculated as the time required for the power grid to detect the load change and actually adjust the power generation and transmission capacity to meet the load demand. Based on the predicted load demand and the current power generation capacity of the power grid, the response time of the power grid to the load change is calculated. The calculation formula is: Among them, L predicted (t) represents the predicted load demand at time t, G(t) represents the actual power generation capacity at time t, and R(t) represents the load response rate at time t. The load response speed is defined as the time delay for the power grid to meet the load change demand. The smaller the response speed, the faster the response speed of the power grid.

[0025] Furthermore, the specific steps of the power grid stability assessment module are:

[0026] Voltage stability assessment: Based on the grid operation parameters collected by the new energy utilization rate assessment module, namely voltage V(t), current I(t), frequency f(t), and power P(t), voltage stability is defined as the ability of the grid to maintain a specified voltage range under various load conditions. The voltage deviation index is calculated, namely the ratio of the absolute value of the difference between the actual voltage and the rated voltage to the rated voltage.

[0027] Frequency stability assessment: monitor the frequency changes of the power grid, record the real-time value of the frequency, and calculate the frequency deviation index, that is, the ratio of the absolute value of the difference between the actual frequency and the rated frequency to the rated frequency;

[0028] Power balance capability assessment: Calculate the power imbalance, that is, the difference between the generator output power and the load demand power, analyze the cause of the power imbalance, and assess the grid's regulation capability under power imbalance conditions, including the generator's speed regulation performance and the energy storage device's response capability;

[0029] Comprehensive analysis and evaluation: Comprehensively analyze the evaluation results of voltage stability, frequency stability and power balance capability, formulate a power grid stability evaluation index system, calculate the comprehensive stability score according to the weight of each indicator, and judge the stability level of the power grid based on the comprehensive stability score.

[0030] Furthermore, the voltage stability in the power grid stability assessment module refers to the ability of the power grid to maintain the voltage within the specified range under various operating conditions. According to the real-time voltage data, the voltage stability of the power grid under different operating conditions is evaluated, the voltage fluctuation range of each node in the power grid is calculated, the deviation between the actual voltage value and the rated voltage value is compared, and the voltage stability index S is used. V (t) is quantitatively evaluated using the formula: Among them, V max (t) represents the maximum voltage value within time t, V min (t) represents the minimum voltage value within time t, V rated Indicates the rated voltage value, and based on the real-time frequency data, evaluates the frequency stability of the power grid under different operating conditions, calculates the frequency fluctuation range of the power grid, compares the deviation between the actual frequency value and the rated frequency value, and uses the frequency stability index S f (t) is quantitatively evaluated, the formula is: S f (t) = f(t) - f rated |, f(t) represents the actual frequency value within time t, f rated Indicates the rated frequency value, and then evaluates the power balance capability of the power grid under different operating conditions based on real-time power data, calculates the difference between power generation and load demand in the power grid, compares the deviation between the actual power value and the expected power value, and uses the power balance capability indicator S P(t) is quantitatively evaluated, the formula is: S P (t)=|P gen (t)-P load (t)|,P gen (t) represents the power generation in time t, P load (t) represents the load demand in time t.

[0031] Furthermore, the grid stability evaluation module comprehensively analyzes and evaluates the evaluation results in claim 7 to determine the stability of the grid, and converts the voltage stability index S V (t), frequency stability index S f (t) and power balance capability index S P (t) are combined to form a comprehensive stability index S total (t), using the comprehensive stability index S total (t) is quantitatively evaluated, the formula is: S total (t) = w V ·S V (t)+w f ·S f (t)+w P ·S P (t), where w V 、w f 、w P They represent the weight coefficients of voltage stability, frequency stability and power balancing capability, S total (t) represents the comprehensive stability index within time t. According to the comprehensive stability score, the stability level of the power grid is judged, the operating status of the power grid is continuously monitored, and the stability assessment data is updated in real time. According to the monitoring results, the power grid is optimized and adjusted. The power grid stability assessment module is regularly calibrated and verified to ensure the accuracy and reliability of the assessment results.

[0032] Furthermore, the energy transmission efficiency module calculates the active power loss and reactive power loss of the line based on the collected resistance, reactance, conductance and susceptance parameters of the transmission line, as well as the length and cross-sectional area of ​​the line, according to the line parameters and the transmitted current and voltage. The active power loss calculation formula is: loss =I 2 R, where I is the line current and R is the line resistance. The reactive power loss calculation formula is: Q loss =I 2 X, X is the line reactance, and the energy transmission efficiency is calculated using the formula: Where P out is the effective power at the output, P in is the total power at the input, that is, P in =P out+P loss +Q loss ,According to the transmission efficiency evaluation results, dynamically adjust the networking strategy, optimize the transmission efficiency, analyze the transmission efficiency evaluation results, and identify the main factors causing high loss.

[0033] Furthermore, the technical and economic comparison and optimization module is based on a multi-dimensional technical and economic evaluation system, collects technical and economic data under different networking modes, including the utilization rate of new energy, load response speed, grid stability, energy transmission efficiency, and boundary conditions of equipment reliability and return on investment, and uses weighted scoring to calculate the comprehensive score, giving each technical and economic indicator a corresponding weight w i , use the comprehensive scoring formula to calculate the comprehensive score S total , that is, S total =w1·η new +w2·R load +w3·S total +w4·η+w5·R device +w6·ROI, where η new is the utilization rate of new energy, R load is the load response speed, S total is the grid stability, η is the energy transmission efficiency, R device The equipment reliability and ROI are the return on investment. Based on the multi-dimensional technical and economic indicator evaluation system, different networking solutions are compared in terms of technical and economic performance, and the comprehensive scores of each networking solution are compared. total , select the networking solution with the highest comprehensive score as the optimal solution.

[0034] Compared with the existing technology, this new AC / DC hybrid distribution network networking technology for high-energy distribution networks has the following beneficial effects:

[0035] 1. The present invention constructs a multi-dimensional technical and economic indicator evaluation system to comprehensively and accurately evaluate the technical feasibility and economic benefits under different networking modes. Its complete evaluation indicators cover multiple aspects such as new energy utilization rate, load response speed, power grid stability, energy transmission efficiency, equipment reliability and return on investment. This makes the evaluation of power grid performance and benefits more accurate and can provide a more scientific basis for power grid planning and construction. At the same time, the networking plan is automatically adjusted according to the evaluation results to achieve the optimal technical and economic performance, effectively optimize the networking plan, improve the performance and benefits of the power grid, and reduce operating costs.

[0036] 2. The present invention continuously monitors the operating status of the power grid, updates the stability assessment data in real time, optimizes and adjusts the power grid according to the monitoring results, and regularly calibrates and verifies the power grid stability assessment module to ensure the accuracy and reliability of the assessment results. This comprehensive stability assessment and optimization mechanism enhances the stability and reliability of the power grid, improves the power supply quality, and ensures that the power grid can be maintained within the specified range under various operating conditions, thereby ensuring the user's power safety and the efficient operation of the power grid.

[0037] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0039] Figure 1 It is an operation flow chart of a new AC / DC hybrid distribution network networking technology for high-energy distribution networks;

[0040] Figure 2 The figure is a flow chart of the load response speed evaluation module in a new AC / DC hybrid distribution network networking technology for high-energy distribution networks. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1

[0043] This embodiment describes in detail the specific implementation process of a new AC / DC hybrid distribution network networking technology for high-level distribution networks. By constructing a multi-dimensional technical and economic indicator evaluation system, different networking solutions are comprehensively evaluated and optimized, which significantly improves the utilization rate of new energy, load response speed, grid stability, energy transmission efficiency and technical economy. This technology effectively solves the challenges of traditional distribution networks in new energy access and multi-load environments, and provides strong support for the reliable and efficient operation of high-level distribution networks.

[0044] In the specific implementation, we first collect new energy power generation data, including real-time data such as power generation, power generation power, and power generation efficiency of renewable energy such as wind power and solar power. At the same time, we obtain grid operation parameters such as voltage, current, frequency, power, etc. In addition, we also need to collect load data, including load change curves, load peaks, average loads and other information. During the collection process, we ensure the accuracy and real-time nature of the data to provide a reliable basis for subsequent evaluation and analysis.

[0045] Then, the constructed multi-dimensional technical and economic indicator evaluation system is used to evaluate and analyze different networking schemes. The new energy utilization rate evaluation module collects real-time data on renewable energy sources such as wind energy and solar energy, including power generation, power generation, power generation efficiency, and grid operation parameters such as voltage, current, frequency, and power. The total power generation of new energy, the loss during transmission, and the effective power actually reaching the load end are calculated. The new energy utilization rate is defined as the ratio of effective power to total power generation. By analyzing the new energy utilization rate under different networking modes, the networking strategy is adjusted according to the actual operation data to optimize the utilization rate of new energy. For example, at a specific moment, if it is found that the new energy utilization rate is higher under a certain networking mode, this networking mode will be selected first, and dynamic adjustments will be made through continuous monitoring to maintain the optimal utilization rate.

[0046] Subsequently, the load response speed assessment module obtains load data in real time, including load change curves, load peaks and average load information, and predicts future load demand based on historical load data and current load change trends. According to the predicted load demand and actual power generation capacity, the response time of the power grid to load changes is calculated. The load response speed is defined as the time delay for the power grid to meet the load change demand. The response speed of the power grid is optimized by dynamically adjusting the networking strategy. During peak hours, if it is predicted that the load demand will suddenly increase, the system will adjust the power generation and transmission capacity in advance to shorten the response time and ensure that the power grid can quickly meet the new load demand.

[0047] Next, the grid stability assessment module comprehensively considers voltage stability, frequency stability and power balancing capabilities. It collects grid operating parameters such as voltage, current, frequency and power, calculates voltage deviation indicators and frequency deviation indicators, evaluates the voltage stability and frequency stability of the grid under different load conditions, calculates the power imbalance, analyzes the speed regulation performance of the generator and the response capability of the energy storage equipment to evaluate the grid's regulation capability under power imbalance conditions, calculates the comprehensive stability score based on the weights of various indicators, determines the grid's stability level, continuously monitors the grid's operating status, updates the stability assessment data in real time, and optimizes the grid based on the monitoring results. When a grid frequency fluctuation is detected, the system immediately adjusts the output power of the generator set to ensure that the frequency returns to a normal range.

[0048] Secondly, the energy transmission efficiency module focuses on the loss of electric energy during the transmission process in order to improve the energy utilization efficiency. It collects the resistance, reactance, conductance and susceptance parameters of the transmission line, as well as information such as the length and cross-sectional area of ​​the line. According to the line parameters and the transmitted current and voltage, the active power loss and reactive power loss of the line are calculated. By calculating the energy transmission efficiency, the main factors leading to high losses are identified, and the energy transmission efficiency is improved by optimizing the line layout, adjusting the load distribution, and adopting reactive compensation devices. If it is found that the loss of a certain line increases due to overload, the load distribution on the line can be adjusted to reduce the loss and improve the transmission efficiency.

[0049] Finally, the technical and economic comparison and optimization module is based on a multi-dimensional technical and economic evaluation system. It collects technical and economic data under different networking modes, including new energy utilization rate, load response speed, grid stability, energy transmission efficiency, equipment reliability and return on investment. It uses a weighted scoring method to calculate the comprehensive score and assigns corresponding weights to each technical and economic indicator. By comparing the comprehensive scores of each networking scheme, the networking scheme with the highest comprehensive score is selected as the optimal scheme. For example, after evaluating different networking schemes, it is found that a certain networking mode performs well in new energy utilization rate and load response speed, but is slightly lower in terms of return on investment. The system will comprehensively consider all indicators and select the best scheme with balanced performance in all aspects.

[0050] In summary, this embodiment can comprehensively evaluate and optimize the performance of the distribution network by constructing a multi-dimensional technical and economic indicator evaluation system, realize real-time monitoring and intelligent scheduling of power grid operation, and significantly improve the performance and economic benefits of the distribution network by optimizing new energy utilization, load response speed, power grid stability and energy transmission efficiency, providing strong technical support and innovative ideas for the future development of high-level distribution networks.

[0051] Embodiment 2

[0052] This embodiment provides a new AC / DC hybrid distribution network networking technology for high-energy-level distribution networks. The specific process of applying the new AC / DC hybrid distribution network networking technology for high-energy-level distribution networks in urban areas is selected as an implementation scenario. The urban area with diversified load demands and large-scale new energy access is selected as the implementation scenario. The area includes multiple industrial parks, commercial centers and residential areas. New energy power generation mainly includes solar energy and wind energy. The distribution network in the area is optimized and the performance and efficiency of the power grid are improved.

[0053] In the specific implementation, firstly, the monitoring equipment installed in solar power stations and wind power plants is used to collect data on the power generation, power generation and power generation efficiency of wind and solar renewable energy in real time. At the same time, the grid operation parameters, namely voltage V(t), current I(t), frequency f(t) and power P(t) are collected. Smart distribution networks are installed in industrial parks, commercial centers and residential areas to obtain information on load change curves, load peaks and average loads in real time.

[0054] Then, the new energy utilization rate evaluation module is used to collect the new energy power generation P in real time. gen (t) and loss P loss (t) data, according to the formula P eff (t) = P gen (t)-P loss (t) Calculate the effective power reaching the load end at each time point t, and define the new energy utilization rate η as the ratio of effective power to total power generation, that is, 100%, use this formula to calculate the new energy utilization rate η at each time point as η(t), that is, Analyze the utilization rate of new energy under different networking modes and select the optimal networking strategy. At the same time, the load response speed evaluation module obtains load data in real time, predicts future load demand based on historical load data and current load change trends, and uses the formula based on the predicted load demand and actual power generation capacity. Among them, L predicted (t) represents the predicted load demand at time t, G(t) represents the actual power generation capacity at time t, R(t) represents the load response rate at time t, and the response time of the power grid to load changes is calculated. The load response speed is defined as the time delay for the power grid to meet the load change demand. According to the load response speed evaluation results, the networking strategy is dynamically adjusted.

[0055] The grid stability assessment module calculates the voltage deviation index based on the grid operation parameters collected by the new energy utilization rate assessment module, and uses the voltage stability index S V (t) is quantitatively evaluated using the formula: Calculate the frequency deviation index and use the frequency stability index S f (t) is quantitatively evaluated, the formula is: S f (t)=|f(t)-f rated |, calculate the power balance capability index S P (t)=|P gen (t)-P load (t)| for quantitative evaluation, where V max (t) represents the maximum voltage value within time t, V min (t) represents the minimum voltage value within time t, V rated represents the rated voltage value, f(t) represents the actual frequency value within the time t, f rated Indicates the rated frequency value, P gen (t) represents the power generation in time t, P load (t) represents the load demand within time t, and the evaluation results of voltage stability, frequency stability and power balance capability are comprehensively analyzed, using the comprehensive stability index S total (t) is quantitatively evaluated, the formula is: S total (t) = w V ·S V (t)+w f ·S f (t)+w P ·S P (t), w V 、w f 、w P They represent the weight coefficients of voltage stability, frequency stability and power balancing capability, S total (t) represents the comprehensive stability index within time t. The stability level of the power grid is judged based on the comprehensive stability score.

[0056] Finally, the energy transmission efficiency module uses the active power loss calculation formula Q based on the collected resistance, reactance, conductance and susceptance parameters of the transmission line, as well as the length and cross-sectional area of ​​the line, according to the line parameters and the transmitted current and voltage. loss =I 2 X, X is the line reactance, and the energy transmission efficiency is calculated using the formula: Where P out is the effective power at the output, P in is the total power at the input, that is, P in =P out +P loss +Q loss,According to the transmission efficiency evaluation results, the networking strategy is dynamically adjusted to optimize the transmission efficiency. At the same time, the technical and economic comparison and optimization module is based on a multi-dimensional technical and economic evaluation system to collect technical and economic data under different networking modes, including new energy utilization rate, load response speed, grid stability, energy transmission efficiency, equipment reliability and boundary conditions of return on investment, and use weighted scoring to calculate the comprehensive score, giving each technical and economic indicator a corresponding weight w i , use the comprehensive scoring formula to calculate the comprehensive score S total , that is, S total =w1·η new +w2·R load +w3·S total +w4·η+w5·R device +w6·ROI, where η new is the utilization rate of new energy, R load is the load response speed, S total is the grid stability, η is the energy transmission efficiency, R device The network solution is based on equipment reliability and ROI, which is the return on investment. By comparing the comprehensive scores of various networking solutions, the networking solution with the highest comprehensive score is selected as the optimal solution. According to the evaluation results, the optimal networking solution is selected for implementation. During the implementation process, the installation and commissioning of each device are ensured to be accurate to ensure the normal operation of the power grid. During the operation of the power grid, the evaluation system and networking solutions are continuously optimized and improved based on real-time monitoring data. For example, according to the changes in the utilization rate of new energy, the power generation and transmission strategies of new energy are adjusted; according to the evaluation results of load response speed, the dispatching strategy of the power grid is optimized; according to the monitoring data of power grid stability, the operating parameters and equipment configuration of the power grid are adjusted.

[0057] In summary, this embodiment effectively improves the performance and efficiency of the power grid, enhances the stability and reliability of the power grid, and meets the requirements of diversified load demands and large-scale new energy access in the region by applying a new AC / DC hybrid distribution network networking technology for high-energy-level distribution networks in the urban area.

[0058] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A new AC / DC hybrid distribution network networking technology for high-energy distribution networks, characterized in that: The distribution network networking technology builds a multi-dimensional technical and economic indicator evaluation system to comprehensively evaluate different networking methods to determine the optimal networking solution, including: new energy utilization evaluation module, load response speed evaluation module, power grid stability evaluation module, energy transmission efficiency module, technical and economic comparison and optimization module; The new energy utilization rate evaluation module evaluates the power generation efficiency, transmission efficiency and utilization efficiency of new energy under different networking modes; The load response speed assessment module measures the ability of the power grid to respond to load changes, including rapid adjustment of power generation and transmission capabilities; The grid stability assessment module analyzes the voltage stability, frequency stability and power balancing capability of the grid under different operating conditions; The energy transmission efficiency module takes into account the loss of electric energy during transmission to improve the efficiency of energy utilization; The technical and economic comparison and optimization module is based on a multi-dimensional technical and economic evaluation system, conducts technical and economic comparisons on different networking modes, comprehensively considers the boundary conditions of new energy equipment reliability and investment return rate, and formulates a technical and economic optimization plan.

2. According to claim 1, a new AC / DC hybrid distribution network networking technology for high-energy distribution networks is characterized in that: The specific steps of the new energy utilization rate evaluation module are as follows: Data collection: Collect real-time data on renewable energy power generation, including wind and solar renewable energy power generation, power generation, power generation efficiency, and grid operation parameters, namely voltage, current, frequency, and power; Power generation efficiency calculation: calculate the total power generation of new energy, measure the loss of new energy during transmission, and the effective power actually reaching the load end; Definition of new energy utilization rate: The new energy utilization rate is defined as the ratio of effective power to total power generation; Optimize the utilization rate of new energy: Further analyze the utilization rate of new energy under different networking modes, adjust the networking strategy according to actual operation data, and optimize the utilization rate of new energy.

3. According to claim 2, a new AC / DC hybrid distribution network networking technology for high-energy distribution networks is characterized in that: The new energy utilization rate evaluation module collects the new energy power generation P in real time. gen (t) and loss P loss (t) data, as well as grid operation parameters, namely voltage V(t), current I(t), and frequency f(t), to assist in evaluating the losses during transmission. Based on the collected data, the effective power P reaching the load end at each time point t is calculated. eff (t), that is, P eff (t) = P gen (t)-P loss (t), the new energy utilization rate η is defined as the ratio of effective power to total power generation, that is, Use this formula to calculate the new energy utilization rate at each time point t According to the new energy utilization rate η(t) at each time point t, the new energy utilization rate under different networking modes is analyzed and compared, and the optimal networking strategy is selected to dynamically adjust the networking strategy to optimize the utilization rate of new energy.

4. According to claim 1, a new AC / DC hybrid distribution network networking technology for high-energy distribution networks is characterized in that: The function realization steps of the load response speed evaluation module include: Load data acquisition: real-time acquisition of load data, including load change curve, load peak, and average load information; Load forecasting: forecast future load demand based on historical load data and current load change trends; Load response time calculation: Calculate the grid’s response time to load changes based on predicted load demand and actual power generation capacity; Load response speed assessment: Load response speed is defined as the time delay for the power grid to meet the load change demand; Network strategy adjustment: According to the load response speed evaluation results, the network strategy is dynamically adjusted to optimize the response speed of the power grid.

5. A new AC / DC hybrid distribution network networking technology for high-energy distribution networks according to claim 4, characterized in that: The load response time in the load response speed evaluation module is calculated as the time required for the power grid to detect the load change and actually adjust the power generation and transmission capacity to meet the load demand. Based on the predicted load demand and the current power generation capacity of the power grid, the response time of the power grid to the load change is calculated. The calculation formula is: Among them, L predicted (t) represents the predicted load demand at time t, G(t) represents the actual power generation capacity at time t, and R(t) represents the load response rate at time t. The load response speed is defined as the time delay for the power grid to meet the load change demand. The smaller the response speed, the faster the response speed of the power grid.

6. The novel AC / DC hybrid distribution network networking technology for high-energy distribution networks according to claim 1 is characterized in that: The specific steps of the power grid stability assessment module are: Voltage stability assessment: Based on the grid operation parameters collected by the new energy utilization rate assessment module, namely voltage V(t), current I(t), frequency f(t), and power P(t), voltage stability is defined as the ability of the grid to maintain a specified voltage range under various load conditions. The voltage deviation index is calculated, namely the ratio of the absolute value of the difference between the actual voltage and the rated voltage to the rated voltage. Frequency stability assessment: monitor the frequency changes of the power grid, record the real-time value of the frequency, and calculate the frequency deviation index, that is, the ratio of the absolute value of the difference between the actual frequency and the rated frequency to the rated frequency; Power balance capability assessment: Calculate the power imbalance, that is, the difference between the generator output power and the load demand power, analyze the cause of the power imbalance, and assess the grid's regulation capability under power imbalance conditions, including the generator's speed regulation performance and the energy storage device's response capability; Comprehensive analysis and evaluation: Comprehensively analyze the evaluation results of voltage stability, frequency stability and power balance capability, formulate a power grid stability evaluation index system, calculate the comprehensive stability score according to the weight of each indicator, and judge the stability level of the power grid based on the comprehensive stability score.

7. A new AC / DC hybrid distribution network networking technology for high-energy distribution networks according to claim 6, characterized in that: The voltage stability in the power grid stability assessment module refers to the ability of the power grid to maintain the voltage within the specified range under various operating conditions. Based on the real-time voltage data, the voltage stability of the power grid under different operating conditions is evaluated, the voltage fluctuation range of each node in the power grid is calculated, and the deviation between the actual voltage value and the rated voltage value is compared. The voltage stability index S is used. V (t) is quantitatively evaluated using the formula: Among them, V max (t) represents the maximum voltage value within time t, V min (t represents the minimum voltage value within time t, V rated Indicates the rated voltage value, and based on the real-time frequency data, evaluates the frequency stability of the power grid under different operating conditions, calculates the frequency fluctuation range of the power grid, compares the deviation between the actual frequency value and the rated frequency value, and uses the frequency stability index S f (t) is quantitatively evaluated, the formula is: S f (t)=|f(t)-f rated |, f(t) represents the actual frequency value within time t, f rated Indicates the rated frequency value, and then evaluates the power balance capability of the power grid under different operating conditions based on real-time power data, calculates the difference between power generation and load demand in the power grid, compares the deviation between the actual power value and the expected power value, and uses the power balance capability indicator S P (t) is quantitatively evaluated, the formula is: S P (t)=|P gen (t)-P load (t)|,P gen (t) represents the power generation in time t, P load (t) represents the load demand in time t.

8. The novel AC / DC hybrid distribution network networking technology for high-energy distribution networks according to claim 7 is characterized in that: The grid stability evaluation module comprehensively analyzes and evaluates the evaluation results in claim 7 to determine the stability of the grid and converts the voltage stability index S V (t), frequency stability index S f (t) and power balance capability index S P (t) are combined to form a comprehensive stability index S total (t), using the comprehensive stability index S total (t) is quantitatively evaluated, the formula is: S total (t) = w V ·S V (t)+w f ·S f (t)+w P ·S P (t), where w V 、w f 、w P They represent the weight coefficients of voltage stability, frequency stability and power balancing capability, S total (t) represents the comprehensive stability index within time t. According to the comprehensive stability score, the stability level of the power grid is judged, the operating status of the power grid is continuously monitored, and the stability assessment data is updated in real time. According to the monitoring results, the power grid is optimized and adjusted. The power grid stability assessment module is regularly calibrated and verified to ensure the accuracy and reliability of the assessment results.

9. The novel AC / DC hybrid distribution network networking technology for high-energy distribution networks according to claim 1 is characterized in that: The energy transmission efficiency module calculates the active power loss and reactive power loss of the line based on the collected resistance, reactance, conductance and susceptance parameters of the transmission line, as well as the length and cross-sectional area of ​​the line, according to the line parameters and the transmitted current and voltage. The active power loss calculation formula is: loss =I 2 R, where I is the line current and R is the line resistance. The reactive power loss calculation formula is: Q loss =I 2 X, X is the line reactance, and the energy transmission efficiency is calculated using the formula: Where P out is the effective power at the output, P in is the total power at the input, that is, P in =P out +P loss +Q loss ,According to the transmission efficiency evaluation results, dynamically adjust the networking strategy, optimize the transmission efficiency, analyze the transmission efficiency evaluation results, and identify the main factors leading to high loss.

10. The novel AC / DC hybrid distribution network networking technology for high-energy distribution networks according to claim 1 is characterized in that: The technical and economic comparison and optimization module is based on a multi-dimensional technical and economic evaluation system, which collects technical and economic data under different networking modes, including the utilization rate of new energy, load response speed, grid stability, energy transmission efficiency, equipment reliability and boundary conditions of return on investment, and uses weighted scoring to calculate the comprehensive score, giving each technical and economic indicator a corresponding weight w i , use the comprehensive scoring formula to calculate the comprehensive score S total , that is, S total =w1·η new +w2·R load +w3·S total +w4·η+w5·R device +w6·ROI, where η new is the utilization rate of new energy, R load is the load response speed, S total is the grid stability, η is the energy transmission efficiency, R device The equipment reliability and ROI are the return on investment. Based on the multi-dimensional technical and economic indicator evaluation system, different networking solutions are compared in terms of technical and economic performance, and the comprehensive scores of each networking solution are compared. total , select the networking solution with the highest comprehensive score as the optimal solution.

Images