Interphase power mutual aid configuration system and method for power grids in agricultural and pastoral areas

Abstract

The invention relates to the technical field of electric power engineering, and provides an agricultural and pastoral area power grid interphase power mutual aid configuration system and method.The agricultural and pastoral area power grid interphase power mutual aid configuration system comprises a power source monitoring and regulating unit used for monitoring output power of various power sources in an agricultural and pastoral area in real time and regulating power source output according to a preset algorithm, and the preset algorithm is based on the multi-energy complementation principle; a power distribution algorithm is constructed by combining power supply historical output data, real-time meteorological data and load prediction data, a power grid data acquisition and analysis unit is connected with a power transmission line, a transformer substation, power distribution equipment and the like, parameters such as voltage, current and power of each phase of a power grid are acquired, and the three-phase unbalance degree of the power grid is calculated through a data analysis model. Through the synergistic effect of the power supply monitoring and regulating unit and the power grid data acquisition and analysis unit, and in combination with a multi-energy complementary algorithm and a three-phase unbalance degree real-time calculation model, the limitation that a traditional load balancing device can only statically regulate a fixed load is broken through.

Description

Technical Field

[0001] This invention relates to the field of power engineering technology, specifically to a power mutual assistance configuration system and method for phase-to-phase power in rural and pastoral power grids. Background Technology

[0002] In rural and pastoral power grids, traditional grid configuration systems are often quite simple, lacking effective means of managing phase-to-phase power. With the development of the rural and pastoral economy and the growth of electricity demand, the penetration rate of distributed energy (such as solar and wind power) in rural and pastoral power grids is gradually increasing.

[0003] However, the intermittent and random nature of these distributed energy sources leads to significant fluctuations in grid power and increasingly prominent power imbalances between phases. For example, in some agricultural and pastoral areas where solar power is the primary source, abundant sunshine during the day results in high photovoltaic power generation, potentially causing excessive power in one phase while other phases experience relatively low power. Conversely, at night or on cloudy days, solar power generation drops sharply, potentially leading to power deficits. Furthermore, the seasonal and dispersed nature of agricultural loads, such as irrigation and agricultural product processing, significantly alters electricity demand across different seasons and times, further exacerbating the power imbalance problem between grid phases.

[0004] To address the issue of power imbalance between phases in rural and pastoral power grids, several technical solutions have been implemented. For example, three-phase load balancing devices are used to adjust the load; however, these devices often only provide limited balancing for fixed load types and are poorly adaptable to the complex power fluctuations brought about by distributed energy integration. Regarding energy storage applications, while some regions have introduced energy storage systems to mitigate power fluctuations, existing systems lack intelligent and precise control strategies for power balance configuration, making it impossible to efficiently regulate power based on the real-time operating status of the power grid and the characteristics of rural and pastoral loads. Furthermore, existing power grid monitoring and analysis systems lack sufficient accuracy and analytical capabilities to monitor the unique operating environment and complex load conditions of rural and pastoral power grids, making it difficult to provide accurate data support for effective phase-to-phase power balance configuration. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a system and method for configuring phase-to-phase power balance in rural and pastoral power grids, which solves the problem of phase-to-phase power imbalance in rural and pastoral power grids.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a phase-to-phase power mutual assistance configuration system for rural and pastoral power grids, comprising: The power monitoring and control unit is used to monitor the output power of various power sources in agricultural and pastoral areas in real time, and to control the power output according to a preset algorithm. This preset algorithm is a power allocation algorithm based on the principle of multi-energy complementarity, combined with historical power output data, real-time meteorological data, and load forecast data. The algorithm controls the power output using the following formula. Regulation: ; in, The power output of wind power generation, The power output of solar photovoltaic power generation. For the power of a small hydroelectric power station, The power output of biomass power generation. This refers to the power of the diesel generator. , , , , These are weighting coefficients determined based on different time periods and energy priorities, with values ​​ranging from 0 to 1. ; The power grid data acquisition and analysis unit connects to transmission lines, substations, and power distribution equipment to collect voltage data for each phase of the power grid. Current ,power Parameters such as these are used to calculate the three-phase imbalance of the power grid through a data analysis model. The calculation formula is: ; in , , These are three-phase voltages, when When the preset threshold is exceeded, a power adjustment action is triggered; The energy storage management unit controls the charging and discharging of the energy storage system, and the charging and discharging power of the energy storage system. Adjustments are made based on whether the power grid has a power deficit or surplus. When the power grid has a power surplus, the charging power of the energy storage system... satisfy: ; in For excess power in the power grid, This refers to power loss during the charging process; and the discharge power of the energy storage system when there is a power shortage in the grid. satisfy: ; in Due to the power deficit in the power grid, This refers to the power loss during the discharge process; The load management and distribution unit monitors the load situation in agricultural and pastoral areas in real time. Based on load priority and grid power conditions, it classifies and switches loads and distributes them between phases through intelligent switches and other equipment, prioritizing the power supply of important loads.

[0007] Preferably, the power monitoring and control unit further includes an energy prediction subunit, which uses machine learning algorithms to predict the power generation of each power source in the future based on historical meteorological data and energy generation data, with a small prediction error rate.

[0008] Preferably, the data analysis model in the power grid data acquisition and analysis unit can also analyze the harmonic content of the power grid. When the harmonic content exceeds the limit specified in the national standard, an alarm is issued and harmonic mitigation measures are initiated.

[0009] Preferably, the energy storage system in the energy storage management unit adopts a bidirectional converter, which has high conversion efficiency, can quickly respond to power regulation commands, and has a short response time.

[0010] Preferably, the load management and allocation unit is equipped with a load priority database, and different priorities are set according to the load type and importance. For example, the priority of agricultural irrigation load is higher than that of domestic lighting load during the busy farming season.

[0011] The method for configuring phase-to-phase power mutual assistance in rural and pastoral power grids includes the following steps: Step 1: Real-time acquisition of power output, grid phase parameters, and load data; Step 2: Based on the collected data, use a preset algorithm to calculate the regulation power of each power source, the charging and discharging power of the energy storage system, and the load allocation scheme; Step 3: Based on the calculation results, the power supply, energy storage system and load are regulated and distributed accordingly through the power monitoring and control unit, energy storage management unit and load management and distribution unit; Step 4: Continuously monitor the power grid operation status and repeat steps one through three to achieve dynamic mutual assistance configuration of phase power.

[0012] Preferably, in step two, when the three-phase imbalance of the power grid exceeds a preset threshold, the three-phase power is balanced by adjusting the load distribution first. If the load adjustment cannot meet the requirements, the energy storage system is activated for power compensation.

[0013] Preferably, in step three, the power supply regulation operations include adjusting the pitch angle of the wind turbine and the maximum power point tracking control of the photovoltaic power generation, so as to optimize the power output.

[0014] Preferably, step four also includes storing and analyzing system operation data, periodically evaluating the system's performance, and optimizing preset algorithms and related parameters based on the evaluation results.

[0015] Preferably, the method also includes emergency response measures in the event of a power grid failure, such as automatically disconnecting the faulty line, activating backup power, and ensuring continuous power supply to critical loads.

[0016] This invention provides a system and method for configuring phase-to-phase power mutual assistance in rural and pastoral power grids. It has the following beneficial effects: 1. This invention, through the synergistic effect of the power monitoring and control unit and the power grid data acquisition and analysis unit, combined with the multi-energy complementary algorithm and the real-time calculation model of three-phase imbalance, breaks through the limitation of traditional load balancing devices that can only statically adjust fixed loads. It can dynamically allocate power to each phase to address the superposition of the intermittency of distributed energy and the seasonal fluctuation of load in agricultural and pastoral areas.

[0017] 2. This invention achieves full-link regulation of "power supply-energy storage-load": the energy storage system adopts a bidirectional converter and is combined with a dynamic charging and discharging algorithm to greatly reduce energy storage losses; the load management unit combines a priority dynamic adjustment strategy to achieve intelligent peak shifting between irrigation load and domestic load during the busy farming season, resulting in a lower overall line loss rate compared to existing technologies.

[0018] 3. This invention employs a closed-loop mechanism of real-time monitoring, rapid response, and emergency control: When a power grid fails, the system can automatically disconnect the faulty line and start backup power sources such as diesel generators within a short period of time, shortening the power restoration time for critical loads compared to existing technologies; combined with a load priority database, when power outages are caused by extreme weather, priority is given to ensuring critical loads such as medical and communication services, solving the problems of slow recovery and weak protection capabilities after traditional power grid failures, and forming a full-cycle risk resistance system of "prevention-response-recovery".

[0019] 4. The energy prediction subunit of this invention adopts the LSTM algorithm to allocate new energy output in advance. The power mutual assistance algorithm can transfer excess new energy power through energy storage or load absorption, thereby improving the local absorption rate of new energy. This provides a feasible solution for high-proportion new energy access in agricultural and pastoral areas and accelerates the process of clean energy substitution. Attached Figure Description

[0020] Figure 1 This is a system diagram of the present invention; Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Example: Please see the appendix Figure 1 and attached Figure 2 This invention provides a phase-to-phase power mutual assistance configuration system for rural and pastoral power grids, comprising: The power monitoring and control unit is used to monitor the output power of various power sources in agricultural and pastoral areas in real time, and to control the power output according to a preset algorithm. This preset algorithm is a power allocation algorithm based on the principle of multi-energy complementarity, combined with historical power output data, real-time meteorological data, and load forecast data. The algorithm controls the power output using the following formula. Regulation:

[0023] in, The power output of wind power generation, The power output of solar photovoltaic power generation. For the power of a small hydroelectric power station, The power output of biomass power generation. This refers to the power of the diesel generator. , , , , These are weighting coefficients determined based on different time periods and energy priorities, with values ​​ranging from 0 to 1. ; The power grid data acquisition and analysis unit connects to transmission lines, substations, and power distribution equipment to collect voltage data for each phase of the power grid. Current ,power Parameters such as these are used to calculate the three-phase imbalance of the power grid through a data analysis model. The calculation formula is:

[0024] in , , These are three-phase voltages, when When the preset threshold is exceeded, a power adjustment action is triggered; The energy storage management unit controls the charging and discharging of the energy storage system, and the charging and discharging power of the energy storage system. Adjustments are made based on whether the power grid has a power deficit or surplus. When the power grid has a power surplus, the charging power of the energy storage system... satisfy:

[0025] in For excess power in the power grid, This refers to power loss during the charging process; and the discharge power of the energy storage system when there is a power shortage in the grid. satisfy:

[0026] in Due to the power deficit in the power grid, This refers to the power loss during the discharge process; The load management and distribution unit monitors the load situation in agricultural and pastoral areas in real time. Based on load priority and grid power conditions, it classifies and switches loads and distributes them between phases through intelligent switches and other equipment, prioritizing the power supply of important loads.

[0027] The power monitoring and control unit also includes an energy prediction subunit, which uses machine learning algorithms to predict the power generation of each power source in the future based on historical meteorological data and energy generation data. The prediction error rate is small. The data analysis model in the power grid data acquisition and analysis unit can also analyze the harmonic content of the power grid. When the harmonic content exceeds the national standard limit, an alarm is issued and harmonic control measures are initiated. The energy storage system in the energy storage management unit adopts a bidirectional converter with high conversion efficiency and can quickly respond to power regulation commands with a short response time. The load management and allocation unit is equipped with a load priority database, which sets different priorities according to the load type and importance. For example, the priority of agricultural irrigation load is higher than that of domestic lighting load during the busy farming season. Specifically, the power monitoring and control unit: Addressing the characteristics of distributed power sources in agricultural and pastoral areas, it employs distributed acquisition terminals to acquire real-time output data from wind power, solar power, and small hydropower, transmitting this data to an edge computing gateway via 4G / NB-IoT. The energy prediction subunit constructs a prediction model based on the LSTM algorithm. Input dimensions include historical power generation data from the past three years and weather forecasts for the next 72 hours. The model training cycle is updated weekly, with the prediction error rate controlled within 8%. Taking a certain pastoral area as an example, the weighting coefficient of wind power is prioritized in winter (k1=0.4), the weighting of solar power is increased in summer (k2=0.5), and the proportion of small hydropower is increased during the high-water season (k3=0.3) to ensure stable multi-energy complementary output. Power Grid Data Acquisition and Analysis Unit: Intelligent monitoring terminals are installed on the low-voltage side of the transformer in the distribution area to synchronously collect three-phase voltage, current, and active or reactive power, generating a set of monitoring data every 10ms. The data analysis model uses Fast Fourier Transform to analyze harmonic content. When the 3rd harmonic exceeds 5% and the 5th harmonic exceeds 3%, the SVG static var generator is automatically triggered for mitigation. The three-phase imbalance calculation threshold is set to 5%. When ε > 5%, an adjustment command is immediately sent to the load management unit. For example, if the A-phase load exceeds the standard during the irrigation season in a certain agricultural area, part of the load is switched to the B and C phases within 0.5 seconds. Energy storage management unit: Employs a 100kWh lithium iron phosphate battery energy storage system, equipped with a bidirectional DC / AC converter, supporting power regulation from 50kW to 100kW. During charging, if excess photovoltaic power is detected, the charging current is controlled according to Pcharge = Pexcess × 0.95; during discharging, if there is a load deficit at night, Pdischarge = Pdeficit × 1.03. Load Management and Allocation Unit: Establishes a three-level load priority database: Level 1 load, Level 2 load, and Level 3 load. During the busy farming season, the irrigation load priority is adjusted to Level 2, and phase switching is achieved through intelligent circuit breakers. For example, when irrigating paddy fields in a certain village, if the load rate of Phase A reaches 90%, the two 3kW water pumps are automatically switched to Phase B, so that the three-phase load rate deviation is controlled within ±8%.

[0028] The method for configuring phase-to-phase power mutual assistance in rural and pastoral power grids includes the following steps: Step 1: Real-time acquisition of power output, grid phase parameters, and load data; Step 2: Based on the collected data, use a preset algorithm to calculate the regulation power of each power source, the charging and discharging power of the energy storage system, and the load allocation scheme; Step 3: Based on the calculation results, the power supply, energy storage system and load are regulated and distributed accordingly through the power monitoring and control unit, energy storage management unit and load management and distribution unit; Step 4: Continuously monitor the power grid operation status and repeat steps one through three to achieve dynamic mutual assistance configuration of phase power.

[0029] In step two, when the three-phase imbalance of the power grid exceeds the preset threshold, the three-phase power is balanced by adjusting the load distribution first. If the load adjustment cannot meet the requirements, the energy storage system is activated for power compensation. In step three, the power supply regulation operations include adjusting the pitch angle of the wind turbine and the maximum power point tracking control of the photovoltaic power generation to optimize the power output. In step four, the system operation data is stored and analyzed, the system operation effect is evaluated regularly, and the preset algorithm and related parameters are optimized based on the evaluation results. The method also includes emergency handling measures when the power grid fails, such as automatically disconnecting the faulty line and activating the backup power supply to ensure the continuous power supply of important loads. Specifically, step one is data collection: by using edge terminals deployed in the distribution area, power data, grid parameters, and load data are aggregated every 5 minutes to form a structured dataset, which is stored on a local SD card and simultaneously uploaded to the county power dispatch cloud platform; Step 2: Calculation of the power allocation scheme: Based on the computing power of the edge computing gateway, the particle swarm optimization algorithm is used to solve the power allocation scheme. The objective function is set as min, and the constraints include the maximum output of the power source, the depth of charge and discharge of the energy storage, and the number of load switching times. For example, if a certain distribution area has a 20kW surplus of photovoltaic power at noon, the algorithm will prioritize allocating 15kW to the local processing load, and the remaining 5kW will be stored in the energy storage system. Step 3: Control Execution. In terms of power control, wind turbines achieve ±10% power fine-tuning through pitch adjustment; photovoltaic inverters utilize MPPT tracking accuracy improvement. The energy storage system adopts a constant power charging and discharging mode, operating at 0.5C during charging and 1C during discharging. Load control is achieved through an intelligent switch matrix, supporting phase switching of single-phase connected devices, such as switching a villager's electric heater from an overloaded phase to a lightly loaded phase. Step Four: Dynamic Optimization. Weekly system operation reports are generated to analyze power switching success rate, energy storage utilization efficiency, and load switching response time. Algorithm parameters are optimized based on the reports. For example, in a mountainous area where winter snow accumulation increases photovoltaic prediction deviation, snow depth sensor data input is added to improve prediction accuracy. In case of emergency, a dual-power automatic switching device is used. When the main grid loses power, diesel generators immediately start to ensure power supply to important loads such as medical stations and village committees, with a runtime of ≥4 hours.

[0030] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A phase-to-phase power mutual assistance configuration system for rural and pastoral power grids, characterized in that, include: The power monitoring and control unit is used to monitor the output power of various power sources in agricultural and pastoral areas in real time, and to control the power output according to a preset algorithm. This preset algorithm is a power allocation algorithm based on the principle of multi-energy complementarity, combined with historical power output data, real-time meteorological data, and load forecast data. The algorithm controls the power output using the following formula. Regulation: ； in, The power output of wind power generation, The power output of solar photovoltaic power generation. For the power of a small hydroelectric power station, The power output of biomass power generation. The power of the diesel generator. , , , , These are weighting coefficients determined based on different time periods and energy priorities, with values ​​ranging from 0 to 1. ; The power grid data acquisition and analysis unit connects to transmission lines, substations, and power distribution equipment to collect voltage data for each phase of the power grid. Current ,power Parameters such as these are used to calculate the three-phase imbalance of the power grid through a data analysis model. The calculation formula is: ； in , , These are three-phase voltages, when When the preset threshold is exceeded, a power adjustment action is triggered; The energy storage management unit controls the charging and discharging of the energy storage system, and the charging and discharging power of the energy storage system. Adjustments are made based on whether the power grid has a power deficit or surplus. When the power grid has a power surplus, the charging power of the energy storage system... satisfy: ； in For excess power in the power grid, This refers to power loss during the charging process; and the discharge power of the energy storage system when there is a power shortage in the grid. satisfy: ； in Due to the power deficit in the power grid, This refers to the power loss during the discharge process; The load management and distribution unit monitors the load situation in agricultural and pastoral areas in real time. Based on load priority and grid power conditions, it classifies and switches loads and distributes them between phases through intelligent switches and other equipment, prioritizing the power supply of important loads.

2. The phase-to-phase power mutual assistance configuration system for agricultural and pastoral power grids according to claim 1, characterized in that, The power monitoring and control unit also includes an energy prediction subunit, which uses machine learning algorithms to predict the power generation of each power source in the future based on historical meteorological data and energy generation data, with a small prediction error rate.

3. The phase-to-phase power mutual assistance configuration system for agricultural and pastoral power grids according to claim 1, characterized in that, The data analysis model in the power grid data acquisition and analysis unit can also analyze the harmonic content of the power grid. When the harmonic content exceeds the limit specified by the national standard, an alarm will be issued and harmonic control measures will be initiated.

4. The phase-to-phase power mutual assistance configuration system for rural and pastoral power grids according to claim 1, characterized in that, The energy storage system in the energy storage management unit adopts a bidirectional converter, which has high conversion efficiency, can quickly respond to power regulation commands, and has a short response time.

5. The phase-to-phase power mutual assistance configuration system for agricultural and pastoral power grids according to claim 1, characterized in that, The load management and allocation unit is equipped with a load priority database, which sets different priorities according to the load type and importance. For example, the priority of agricultural irrigation load is higher than that of domestic lighting load during the busy farming season.

6. A method for configuring phase-to-phase power mutual assistance in rural and pastoral power grids, using the rural and pastoral power mutual assistance configuration system as described in any one of claims 1-5, characterized in that, Includes the following steps: Step 1: Real-time acquisition of power output, grid phase parameters, and load data; Step 2: Based on the collected data, use a preset algorithm to calculate the regulation power of each power source, the charging and discharging power of the energy storage system, and the load allocation scheme; Step 3: Based on the calculation results, the power supply, energy storage system and load are regulated and distributed accordingly through the power monitoring and control unit, energy storage management unit and load management and distribution unit; Step 4: Continuously monitor the power grid operation status and repeat steps one through three to achieve dynamic mutual assistance configuration of phase power.

7. The method for configuring phase-to-phase power mutual assistance in rural and pastoral power grids according to claim 6, characterized in that, In step two, when the three-phase imbalance of the power grid exceeds the preset threshold, the three-phase power is balanced by adjusting the load distribution first. If the load adjustment cannot meet the requirements, the energy storage system is activated for power compensation.

8. The method for configuring phase-to-phase power mutual assistance in agricultural and pastoral power grids according to claim 6, characterized in that, In step three, the power supply regulation operations include adjusting the pitch angle of the wind turbine and the maximum power point tracking control of the photovoltaic power generation, in order to optimize the power output.

9. The method for configuring phase-to-phase power mutual assistance in rural and pastoral power grids according to claim 6, characterized in that, Step four also includes storing and analyzing system operation data, periodically evaluating the system's performance, and optimizing preset algorithms and related parameters based on the evaluation results.

10. The method for configuring phase-to-phase power mutual assistance in agricultural and pastoral power grids according to claim 6, characterized in that, The method also includes emergency response measures in the event of a power grid failure, such as automatically disconnecting the faulty line, activating backup power, and ensuring continuous power supply to critical loads.

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