Remote area micro-grid operation parameter adjusting method

Abstract

The invention discloses a method for adjusting operation parameters of a micro-grid in a remote area, and relates to the technical field of power distribution of a power grid. Comprising the following steps: acquiring operation data of a to-be-adjusted power grid in a remote area; establishing an evaluation model according to the requirements of safety, reliability and generating capacity conversion energy conservation; performing exception checking on the operation data based on the reference threshold value; and adjusting operation parameters of the power grid in the remote region based on the evaluation model and the troubleshooting result, and performing fixed-point maintenance according to the troubleshooting data. According to the invention, on the basis of obtaining the operation data of the to-be-adjusted power grid in the remote area, the operation data is subjected to abnormality checking based on the reference threshold, the operation parameters of the power grid in the remote area are adjusted based on the evaluation model and the abnormality checking result, and fixed-point maintenance is carried out according to the checking data. The problem of micro-grid cost minimum optimization operation based on an electricity price and environment cost mechanism is solved, the economic benefit and the environment benefit of a grid system can be improved, and the application range of an energy storage system is expanded.

Description

Technical Field

[0001] The present invention relates to the field of power grid distribution technology, and in particular to a method for adjusting operating parameters of a microgrid in a remote area. Background Art

[0002] Microgrid in remote areas refers to a small, self-sufficient power network, which is usually used in areas with difficult power supply, far from the main power grid or lack of infrastructure. This type of microgrid can operate independently, or be connected to the main power grid and disconnected from it when needed to ensure power supply in remote areas. Microgrids usually combine renewable energy and energy storage technology to provide continuous, stable and flexible power services. Its main renewable energy sources include solar photovoltaic systems, wind power systems, micro hydropower, fuel cells, etc.; the main distributed energy storage systems are lithium battery energy storage systems and lead-acid battery energy storage systems.

[0003] At the same time, microgrids in remote areas provide an important direction for global energy transformation and sustainable development, especially in remote and energy-deficient areas, where microgrids can help improve energy access, improve quality of life, and reduce environmental burdens. However, the economic and environmental benefits of existing microgrids in remote areas still have a lot of room for improvement. Summary of the invention

[0004] The present invention provides a method for adjusting operating parameters of a microgrid in remote areas, which can further improve the economic and environmental benefits of the power grid system and scientifically expand the scope of use of microgrid energy storage systems in remote areas.

[0005] The present invention is achieved through the following technical solutions:

[0006] The present invention provides a method for adjusting operating parameters of a microgrid in a remote area, comprising the following steps:

[0007] S1. Obtaining the operation data of the power grid to be adjusted in remote areas;

[0008] S2. Establish an evaluation model based on the requirements of safety, reliability, and energy-saving of power generation conversion;

[0009] S3. Check the operation data for abnormalities based on the reference threshold;

[0010] S4. Based on the evaluation model and abnormality investigation results, the operating parameters of the power grid in remote areas are adjusted, and fixed-point maintenance is carried out according to the investigation data.

[0011] The method for adjusting operating parameters of microgrids in remote areas provided by the present invention, based on the operation data of the power grid to be adjusted in the remote area, establishes an evaluation model according to the requirements of safety, reliability, and energy-saving of power generation conversion, and then checks the operation data for abnormalities based on reference thresholds in turn. Based on the evaluation model and the abnormality checking results, the operating parameters of the power grid in the remote area are adjusted, and fixed-point maintenance is performed according to the checking data, which solves the problem of the lowest cost optimization operation of the microgrid based on the electricity price and environmental cost mechanism, can further improve the economic and environmental benefits of the power grid system, and scientifically expand the scope of use of the energy storage system.

[0012] In an optional implementation of the present application, the operating data includes actual power generation data of the power grid operation and historical operating data.

[0013] In an optional implementation of the present application, the operating data includes power consumption, power nodes, power paths and power load data within the power grid.

[0014] In an optional implementation of the present application, step S1 also includes the step of transmitting the power consumption, power nodes, power paths and power load data collected from each user end to a user data classification module of the power grid.

[0015] In an optional implementation of the present application, in step S1, the collected user data is classified according to the user's electricity demand.

[0016] In an optional implementation of the present application, the evaluation model in step S2 is constructed with the comprehensive goals of optimizing economic benefits, minimizing network losses, maximizing renewable energy consumption, and minimizing voltage deviation.

[0017] In an optional implementation of the present application, when the output of renewable distributed energy is small, the economic benefits of the power grid, equivalent load fluctuations and voltage deviations are considered simultaneously.

[0018] In an optional implementation of the present application, when the penetration rate of renewable distributed energy exceeds the load demand, an evaluation model is constructed with the goals of economic benefits, network losses and minimum reduction of renewable energy.

[0019] In an optional implementation manner of the present application, in step S3, the standard parameters of grid operation are qualified based on the reference threshold.

[0020] In an optional implementation of the present application, the standard parameters for grid operation include transmission line loss rate, transmission transformer loss rate, total transmission loss rate, total electric energy revenue, and economic benefit conversion rate.

[0021] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0022] The method for adjusting operating parameters of microgrids in remote areas provided by the present invention, based on the operation data of the power grid to be adjusted in the remote area, establishes an evaluation model according to the requirements of safety, reliability, and energy-saving of power generation conversion, and then checks the operation data for abnormalities based on reference thresholds in turn. Based on the evaluation model and the abnormality checking results, the operating parameters of the power grid in the remote area are adjusted, and fixed-point maintenance is performed according to the checking data, which solves the problem of the lowest cost optimization operation of the microgrid based on the electricity price and environmental cost mechanism, can further improve the economic and environmental benefits of the power grid system, and scientifically expand the scope of use of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope.

[0024] in:

[0025] Figure 1 A schematic flow chart of a method for adjusting operating parameters of a microgrid in a remote area provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0027] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0028] It should be noted that the embodiments and features in the embodiments in this application can be combined with each other without conflict. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other embodiments, in order to avoid confusing the present invention, known methods are not specifically described.

[0029] Example

[0030] Combination Figure 1 , this embodiment provides a method for adjusting operating parameters of a microgrid in a remote area, comprising the following steps:

[0031] S1. Obtain the operating data of the power grid to be adjusted in remote areas.

[0032] Specifically, the operation data includes actual power generation data of the power grid operation and historical operation data.

[0033] In this embodiment, the operation data includes the power consumption, power nodes, power paths and power load data in the power grid. The power consumption, power nodes, power paths and power load data collected from each user end are transmitted to the user data classification module of the power grid. The collected user data is classified according to the user's power demand.

[0034] That is to say, in this embodiment, the operating data of the power grid to be adjusted in the remote area obtained includes power consumption, power nodes, power paths and power load data, and the power consumption, power nodes, power paths and power load data collected from each user end are transmitted to the user data classification module.

[0035] Specifically, when classifying the operation data, the collected user data is classified according to the user's electricity demand, and the processor transmits the classification result to the planning module of the power grid to be adjusted.

[0036] It should be noted that, in the present embodiment, the planning module of the power grid to be adjusted includes a planning unit with large demand, a planning unit with medium demand, and a planning unit with small demand. Based on the principle of minimum investment, different power consumption nodes, power consumption paths, and photovoltaic installation capacities are planned for different planning units. Then, according to the planning results, the calculation module of the power grid to be adjusted calculates the annual power supply income based on the annual electricity investment cost and the annual power supply income.

[0037] S2. Establish an evaluation model based on the requirements of safety, reliability, and energy-saving of power generation conversion.

[0038] It is understandable that the power grid assessment model is a tool used to analyze and evaluate the operating status, performance and potential risks of the power system. It can help power companies and related departments understand the health of the power grid, identify potential problems, and provide data support for decision-making. Power grid assessment usually includes a comprehensive analysis of power load, power generation capacity, power grid structure, equipment status, etc.

[0039] Common types of power grid assessment models and their methods are:

[0040] 1.Static Power Flow Analysis

[0041] Static load flow analysis is the basis of power grid evaluation and is mainly used to evaluate the operating status of the power grid. By calculating the voltage, load, power and other parameters of each node in the power grid, it is evaluated whether the power grid is within the normal operating range.

[0042] Purpose: To ensure that the voltage, line load and generator output power at each node in the power grid are within the allowable range.

[0043] Common methods: Gauss-Seidel method, Newton-Raphson method, etc.

[0044] 2. Dynamic Stability Analysis

[0045] Dynamic stability analysis is used to evaluate whether the power grid can quickly recover to a stable state after encountering a disturbance (such as generator failure, line failure, etc.). It focuses on the transient response of the system, especially its behavior when there is a sudden change in power.

[0046] Purpose: To evaluate the grid’s ability to respond to large-scale faults or disturbances, and to ensure that the system does not experience excessive oscillations or instability when it resumes normal operation.

[0047] Common approach: Use differential equations to model the dynamic behavior of the power grid and solve for system stability conditions.

[0048] 3. Short Circuit Analysis

[0049] Short-circuit analysis evaluates the current changes in the system and the stress on the equipment when a short-circuit fault occurs in the power grid. Short-circuit analysis can help power grid engineers design reasonable protection devices to ensure that the fault area can be quickly cut off when a short-circuit fault occurs.

[0050] Purpose: To analyze the magnitude of short-circuit current, fault point and selection of protection equipment to ensure safe operation of the power grid.

[0051] Common method: Based on the modeling of the power grid topology, the impedance matrix is ​​used to calculate the fault current.

[0052] 4. Optimal Power Flow (OPF)

[0053] The grid optimization dispatching model is used to optimally arrange generator output and grid load distribution under the premise of meeting grid constraints to achieve the most economical or most reliable operating state.

[0054] Purpose: To determine the optimal output of each generator set through optimization calculation, reduce system operating costs or optimize power flow.

[0055] Common methods: linear programming (LP), nonlinear programming (NLP), heuristic algorithms (such as genetic algorithms, particle swarm optimization), etc.

[0056] 5. Power System Reliability Assessment

[0057] The power system reliability assessment model evaluates the reliability level of the system under different conditions by modeling the failure rate and maintenance time of various components in the power grid. Its purpose is to predict the availability and stability of the power grid system under various conditions.

[0058] Purpose: To evaluate the long-term probability of stable operation of the system and reduce the occurrence of power outages and failures.

[0059] Common methods: Markov process, Monte Carlo simulation, fault tree analysis (FTA), etc.

[0060] 6. Load Forecasting and Demand Response Models

[0061] The load forecasting model is used to predict the future power demand of each area in the power grid, helping power companies to carry out reasonable power generation scheduling and power grid planning. The demand response model optimizes and adjusts user demand based on the load forecast to avoid excessive load or power waste.

[0062] Purpose: To accurately predict electricity demand and provide a basis for power grid dispatching and equipment investment.

[0063] Common methods: time series analysis (such as ARIMA model), machine learning methods (such as support vector machine, deep learning), etc.

[0064] 7. Smart Grid Assessment

[0065] The Smart Grid Assessment Model is designed to assess modern smart grids, including their self-healing capabilities, real-time monitoring capabilities, data communication capabilities, and demand response. Smart grids combine information technology and traditional power grids to self-heal when failures occur and optimize the efficiency of grid operations.

[0066] Purpose: To evaluate the performance and stability of smart grids under various operating conditions to ensure that they can achieve efficient and safe power transmission.

[0067] Common methods: Integrate various communication and control technologies, combine traditional power grid assessment models, and add big data analysis and machine learning methods.

[0068] 8. Grid Disaster Resilience Assessment

[0069] With the increase in extreme weather events, the assessment of the disaster resilience of power grids has become increasingly important. The disaster resilience assessment model focuses on analyzing the power grid's ability to recover after encountering extreme events (such as natural disasters, terrorist attacks, etc.), ensuring that the power grid can resume normal operation in a short period of time.

[0070] Purpose: To improve the survivability of the power grid under extreme conditions and avoid prolonged power outages and equipment damage.

[0071] Common methods: Modeling methods based on risk analysis and disaster simulation.

[0072] 9. Environmental Impact Assessment

[0073] Grid assessments should also take into account environmental impacts, particularly the effects of power transmission on ecosystems, such as the threat to birds from high-voltage lines or the impact of grid infrastructure on land use.

[0074] Purpose: To assess the impact of power grid construction and operation on the environment and take appropriate mitigation measures.

[0075] Common methods: life cycle analysis (LCA), geographic information system (GIS) analysis, etc.

[0076] The power grid assessment model requires a large amount of accurate real-time data. How to obtain and process this data is a key issue. Modern smart grids provide a rich source of data through sensors, real-time monitoring systems and other means. At the same time, the power grid structure and operating conditions in different regions vary greatly, so the power grid assessment model needs to be customized according to specific circumstances. With the development of big data and artificial intelligence, the accuracy and adaptability of power grid assessment models are constantly improving.

[0077] In this embodiment, the evaluation model is constructed with the comprehensive goals of optimizing economic benefits, minimizing network losses, maximizing renewable energy consumption, and minimizing voltage deviation.

[0078] Among them, when the output of renewable distributed energy is small, the economic benefits of the power grid, equivalent load fluctuations and voltage deviations are considered at the same time. When the penetration rate of renewable distributed energy exceeds the load demand, an evaluation model is constructed with the goals of economic benefits, network losses and minimum reduction of renewable energy.

[0079] That is, the evaluation model provided in this embodiment is constructed with the comprehensive goals of optimizing economic benefits, minimizing network losses, maximizing renewable energy consumption and minimizing voltage deviation; when the output of renewable distributed energy is small, the economic benefits of the power grid, equivalent load fluctuations, and voltage deviation are mainly considered; when the penetration rate of renewable distributed energy exceeds the load demand, the main goals are economic benefits, network losses, and minimizing renewable energy reduction.

[0080] It is known that wind power in the distribution network in remote areas is directly affected by factors such as weather, and wind power output is intermittent and uncertain. The high proportion of wind power access has exacerbated the impact of its uncertainty on the unit combination decision. Since the traditional power system relies on unit climbing or gas turbines to achieve real-time balance of system power, this embodiment mainly considers the economic benefits of the power grid, equivalent load fluctuations, and voltage offsets when the output of renewable distributed energy is small, and can ensure that after large-scale wind power is connected to the grid, when the wind power output deviates greatly from the predicted wind power value, it can meet the load demand.

[0081] In addition, this embodiment can perceive the operating status of the multi-energy coupled power grid in real time based on the grid operating status data obtained by the evaluation model, so that the model can quickly capture the current status of the microgrid and provide an accurate information basis for subsequent optimization and scheduling.

[0082] S3. Check the operating data for abnormalities based on the reference threshold.

[0083] Specifically, this embodiment is based on the reference threshold as qualified grid operation standard parameters. The grid operation standard parameters include transmission line loss rate, transmission transformer loss rate, total transmission loss rate, total electric energy income and economic benefit conversion rate.

[0084] That is, this embodiment refers to the standards of qualified power grid power generation and energy conversion ratio, and during operation, the transmission line loss rate, transmission transformer loss rate, total transmission loss rate, total electric energy income and economic benefits are converted into core data for reference and comparison.

[0085] It should be understood that when judging the possible fault processing of the circuit, the fault time domain model will select multiple original circuits according to the current circuit fault range, and summarize the characteristic information of each line under different circumstances by extracting the characteristic information of the fault; the summarized fault characteristic information is compared with the fault response curve output by each line fault, and the fault response curve with the largest fluctuation is selected as the circuit fault processing data that may occur, and the fault response curve with the smallest fault response curve is used as the preliminary fault circuit processing data.

[0086] S4. Based on the evaluation model and abnormality investigation results, the operating parameters of the power grid in remote areas are adjusted, and fixed-point maintenance is carried out according to the investigation data.

[0087] In summary, the method for adjusting operating parameters of microgrids in remote areas provided in this embodiment, based on the operation data of the power grid to be adjusted in the remote area, establishes an evaluation model according to the requirements of safety, reliability, and energy-saving of power generation conversion, and then checks the operation data for abnormalities based on reference thresholds in turn. Based on the evaluation model and the abnormality checking results, the operating parameters of the power grid in the remote area are adjusted, and fixed-point maintenance is performed according to the checking data, which solves the problem of the lowest cost optimization operation of the microgrid based on the electricity price and environmental cost mechanism, can further improve the economic and environmental benefits of the power grid system, and scientifically expand the scope of use of the energy storage system.

[0088] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for adjusting operating parameters of a microgrid in a remote area, characterized in that: The following steps are involved: S1. Obtaining the operation data of the power grid to be adjusted in remote areas; S2. Establish an evaluation model based on the requirements of safety, reliability, and energy-saving of power generation conversion; S3. Check the operation data for abnormalities based on the reference threshold; S4. Based on the evaluation model and abnormality investigation results, adjust the operating parameters of the power grid in remote areas, and perform targeted maintenance based on the investigation data.

2. The method for adjusting operating parameters of a microgrid in remote areas according to claim 1, characterized in that: The operation data includes actual power generation data of the power grid operation and historical operation data.

3. The method for adjusting operating parameters of a microgrid in remote areas according to claim 2, characterized in that: The operation data includes power consumption, power consumption nodes, power consumption paths and power load data in the power grid.

4. The method for adjusting operating parameters of a microgrid in remote areas according to claim 3, characterized in that: Step S1 also includes the step of transmitting the power consumption, power consumption nodes, power consumption paths and power consumption load data collected from each user end to the user data classification module of the power grid.

5. The method for adjusting operating parameters of a microgrid in remote areas according to claim 4, characterized in that: In step S1, the collected user data is classified according to the user's electricity demand.

6. The method for adjusting operating parameters of a microgrid in remote areas according to claim 1, characterized in that: The evaluation model in step S2 is constructed with the comprehensive goals of optimizing economic benefits, minimizing network losses, maximizing renewable energy consumption, and minimizing voltage deviation.

7. The method for adjusting operating parameters of a microgrid in remote areas according to claim 6, characterized in that: When the output of renewable distributed energy is small, the economic benefits of the power grid, equivalent load fluctuations and voltage deviations are considered at the same time.

8. The method for adjusting operating parameters of a microgrid in remote areas according to claim 6, characterized in that: When the penetration rate of renewable distributed energy exceeds the load demand, an evaluation model is constructed with the goals of economic benefits, network losses, and minimum reduction of renewable energy.

9. The method for adjusting operating parameters of a microgrid in remote areas according to any one of claims 1 to 8, characterized in that: In step S3, the grid operation standard parameters are qualified based on the reference threshold.

10. The method for adjusting operating parameters of a microgrid in remote areas according to claim 9, characterized in that: The standard parameters for power grid operation include transmission line loss rate, transmission transformer loss rate, total transmission loss rate, total electric energy revenue and economic benefit conversion rate.

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