Safe and stable operation method and system for photovoltaic micro-energy grid

Abstract

The invention relates to the technical field of new energy power grid operation and maintenance, provides a safe and stable operation method and system for a photovoltaic micro-energy grid, and aims to improve regional photovoltaic installation and local absorption rates and guarantee safe and stable operation of a power grid. The invention further comprises a server end, a data acquisition end and an execution mechanism end, and the functions of data acquisition, data processing, control instruction generation and prediction model optimization are realized. According to the method, through peak load shifting, steady-state voltage and frequency regulation and transient fault supporting strategies, biomass energy loads are supplied preferentially, energy storage charging and discharging are adjusted flexibly, and efficient interaction and stable operation of a power grid are achieved.

Description

Technical Field

[0001] The present invention relates to the field of new energy power grid operation and maintenance technology, and in particular to a safe and stable operation method and system for a photovoltaic micro energy grid. Background Art

[0002] With the continuous growth of global demand for renewable energy, new energy photovoltaic power station technology has made significant progress. The conversion efficiency of photovoltaic panels has increased year by year, and the construction cost of photovoltaic power stations has gradually decreased, making photovoltaic energy an increasingly competitive clean energy. At the same time, the intelligence and networking level of photovoltaic power stations are also constantly improving. Through advanced control technology and data management systems, the operating efficiency and maintenance management of photovoltaic power stations have been greatly improved. The development of photovoltaic technology has laid a solid foundation for improving the local consumption rate of new energy photovoltaic power stations.

[0003] The local consumption rate refers to the proportion of electricity produced or introduced in a specific area that is directly consumed locally. In the field of renewable energy such as photovoltaic power generation, improving the local consumption rate is an important goal because it can reduce energy losses during transmission, improve energy utilization efficiency, and promote the local development of renewable energy.

[0004] In the existing technology, new energy photovoltaic power stations mainly improve the local consumption rate through the following ways: first, by optimizing the layout and design of photovoltaic power stations, making them closer to the power load center, reducing the distance and loss of power transmission; second, combining energy storage technology, storing excess electricity during the peak power generation period of photovoltaic power stations, releasing electricity during peak power consumption or when the power grid fails, and smoothing out power grid fluctuations; third, intelligent matching with local loads, real-time monitoring and adjustment of power demand through the load management system, so that the power generation output of photovoltaic power stations is balanced with local loads. In addition, with the development of smart grid technology, photovoltaic power stations can also interact more closely with the power grid to achieve two-way flow and efficient configuration of electricity.

[0005] Although the existing technology has achieved remarkable results in improving the local absorption rate of new energy photovoltaic power stations, the following technical pain points still exist. With the vigorous promotion of renewable energy, the regional photovoltaic installed capacity continues to increase, making it difficult for photovoltaic power stations to fully match local loads during certain periods of time. However, traditional power grids often find it difficult to fully absorb these newly added photovoltaic power locally, and part of the power cannot be absorbed locally, resulting in power transmission losses and grid instability. This technical pain point limits the further improvement of the local absorption rate of new energy photovoltaic power stations. To this end, the present invention provides a safe and stable operation method and system for a photovoltaic micro-energy network to solve this technical pain point. Summary of the invention

[0006] In view of the shortcomings of the existing technology, the present invention provides a safe and stable operation method and system for a photovoltaic micro-energy network, including a micro-energy network system integrating photovoltaic power stations, biomass energy loads, energy storage and transformers, aiming to increase regional photovoltaic installed capacity, local consumption rate, and ensure the safe and stable operation of the power grid.

[0007] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0008] In a first aspect, the present invention provides a safe and stable operation method for a photovoltaic micro energy network, comprising:

[0009] In step S101, photovoltaic power station data, power grid operation data, energy storage device operation data, biomass load device operation data, environmental parameter data and system fault information are obtained;

[0010] In step S102, the photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information are preprocessed, and the preprocessed photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information are data-fused to obtain a system operation data set, and the data in the system operation data set is substituted into a preset power grid state prediction model to obtain a power grid state prediction result, which includes the normal operation of the power grid, the need for steady-state support of the power grid and the occurrence of transient faults in the power grid;

[0011] In step S103, the grid state prediction result is matched with the preset control strategy to obtain a control instruction. The preset control strategy includes a peak shaving and valley filling strategy, a steady-state voltage and frequency regulation strategy, and a transient fault support strategy;

[0012] In step S104, the control instruction is parsed to obtain an actuator corresponding to the control instruction, and the control instruction is sent to the corresponding actuator, which includes an inverter of the photovoltaic power station, a bidirectional DC / DC converter of the energy storage device, and a control device of the biomass energy load unit;

[0013] In step S105, the preset grid state prediction model is optimized according to the real-time grid state and prediction results, and combined with the historical data and real-time data deep learning algorithm to obtain an optimized grid state prediction model, and the optimized grid state prediction model is deployed in the production environment for use.

[0014] Furthermore, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention further includes:

[0015] The electricity generated by the photovoltaic power station is supplied to the biomass energy load device first. When the grid load is peak, the electricity consumption of the biogas station in the biomass energy load device is adjusted to reduce the electricity load of the biogas station in the biomass energy load device. The photovoltaic power station is given priority to participate in the peak load regulation of the grid. When the grid load is low, the electricity consumption of the biogas station in the biomass energy load device is increased, and the biogas station in the biomass energy load device absorbs the surplus electricity of the grid.

[0016] Furthermore, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention includes, in step S103:

[0017] The energy storage device establishes a communication connection with the power grid and photovoltaic power station through a bidirectional DC / DC converter. When there is excess electricity, the energy storage device absorbs and stores excess electricity, and when there is insufficient electricity, the energy storage device releases electricity.

[0018] Furthermore, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention includes, in step S103:

[0019] The data acquisition unit collects the power generation of the photovoltaic power station, the status of the energy storage device, the power demand of the biomass load device and the grid load data in real time, and monitors the environmental parameters, including light intensity and temperature;

[0020] By pre-building control strategies, it automatically analyzes and responds to changes in grid demand, adjusts the inverter output of the photovoltaic power station, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass energy load unit;

[0021] During peak electricity consumption periods, reduce the electricity consumption of biomass load units, give priority to using photovoltaic power plants to generate electricity and load-shift from the power grid;

[0022] During the low electricity consumption period, the power consumption of biomass load units is increased to absorb the surplus power of the power grid, and the excess power is stored in energy storage devices;

[0023] According to the steady-state support requirements and transient fault risks of the power grid, the control strategy adjusts the power output of the energy storage device and the reactive power compensation of the photovoltaic power station to maintain the stability of the grid frequency and voltage.

[0024] Furthermore, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention further includes:

[0025] Obtain the operation configuration and historical operation data of the power grid, and build data backup based on the operation configuration and historical operation data of the power grid;

[0026] Real-time monitoring of the operating status and fault information of photovoltaic power stations, energy storage devices, biomass load units and power grid load systems;

[0027] When a system failure is detected, data backup is automatically started and the normal operation of the power grid is quickly restored through optimized control strategies.

[0028] The second invention provides a safe and stable operation system for a photovoltaic micro-energy network, including: a server end, a data acquisition end and an actuator end, the server end establishes communication connections with the data acquisition end and the actuator end respectively, the data acquisition end collects the operation data of the photovoltaic power station, the energy storage device and the power grid load system through sensors, the server end receives the data collected by the data acquisition end, and analyzes and processes the data collected by the data acquisition end to generate commands for controlling the actuator end;

[0029] A data acquisition unit, which acquires photovoltaic power station data, power grid operation data, energy storage device operation data, biomass load device operation data, environmental parameter data, and system fault information;

[0030] A data processing unit pre-processes the photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information, and fuses the pre-processed photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information to obtain a system operation data set, and substitutes the data in the system operation data set into a preset power grid state prediction model to obtain a power grid state prediction result, which includes the normal operation of the power grid, the need for steady-state support of the power grid and the occurrence of transient faults in the power grid;

[0031] The control strategy generation unit matches the grid state prediction result with the preset control strategy to obtain the control instruction. The preset control strategy includes peak shaving and valley filling strategy, steady-state voltage and frequency regulation strategy, and transient fault support strategy.

[0032] The command execution unit parses the control instruction, obtains the execution mechanism corresponding to the control instruction, and sends the control instruction to the corresponding execution mechanism, which includes the inverter of the photovoltaic power station, the bidirectional DC / DC converter of the energy storage device, and the control device of the biomass energy load unit;

[0033] The optimization unit optimizes the preset grid state prediction model according to the real-time grid state and prediction results, and combines historical data and real-time data deep learning algorithms to obtain an optimized grid state prediction model, and deploys the optimized grid state prediction model in a production environment for use.

[0034] Furthermore, the safe and stable operation system for the photovoltaic micro-energy network provided by the present invention also includes a synchronization unit, which gives priority to supplying the electricity generated by the photovoltaic power station to the biomass energy load device, adjusts the power consumption of the biogas station in the biomass energy load device when the grid load is peak, reduces the power consumption load of the biogas station in the biomass energy load device, and enables the photovoltaic power station to participate in grid peak regulation first. When the grid load is low, the power consumption of the biogas station in the biomass energy load device is increased, and the biogas station in the biomass energy load device absorbs surplus power from the grid.

[0035] Furthermore, the safe and stable operation system for a photovoltaic micro-energy network provided by the present invention, the control strategy generation unit, includes: an energy storage device establishes a communication connection with the power grid and the photovoltaic power station through a bidirectional DC / DC converter, the energy storage device absorbs and stores excess electricity when there is excess electricity, and releases electricity when there is insufficient electricity.

[0036] Furthermore, the safe and stable operation system for photovoltaic micro energy grid provided by the present invention includes a control strategy generation unit, which includes:

[0037] The data acquisition unit collects the power generation of the photovoltaic power station, the status of the energy storage device, the power demand of the biomass energy load unit and the grid load data in real time, and monitors the environmental parameters, including light intensity and temperature;

[0038] Through the pre-built intelligent dispatching system, it automatically analyzes and responds to changes in grid demand, adjusts the inverter output of the photovoltaic power station, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass energy load unit;

[0039] During peak electricity consumption periods, reduce the electricity consumption of biomass load units, give priority to using photovoltaic power plants to generate electricity and load-shift from the power grid;

[0040] During the period of low electricity consumption, the electricity consumption of the biomass energy load unit is increased to absorb the surplus electricity of the power grid, and the excess electricity is stored in the energy storage device.

[0041] According to the steady-state support requirements and transient fault risks of the power grid, the intelligent dispatching system will also adjust the power output of the energy storage device and the reactive power compensation of the photovoltaic power station to maintain the frequency and voltage stability of the power grid.

[0042] Furthermore, the safe and stable operation system for photovoltaic micro energy network provided by the present invention further includes a data backup unit:

[0043] Obtain the operation configuration and historical operation data of the power grid, and build data backup based on the operation configuration and historical operation data of the power grid;

[0044] Real-time monitoring of the operating status and fault information of photovoltaic power stations, energy storage devices, biomass load units and power grid load systems;

[0045] When a system failure is detected, data backup is automatically started and the normal operation of the power grid is quickly restored through optimized control strategies.

[0046] Beneficial effects of the present invention:

[0047] Improve local consumption rate: By integrating photovoltaic power stations, biomass loads, energy storage devices and transformers into a micro-energy grid system, the present invention can significantly increase the regional photovoltaic installed capacity while increasing the proportion of local direct consumption of electricity (local consumption rate). This helps to reduce the loss of electricity during transmission, improve energy utilization efficiency, and promote the local development of renewable energy.

[0048] Ensure safe and stable operation of the power grid: The system provided by the present invention can monitor the operating status and fault information of the power grid in real time, and automatically adjust the operating status of photovoltaic power stations, energy storage devices and biomass energy load units through intelligent scheduling and coordinated control strategies, to ensure the stability and reliability of the power grid in different states such as normal operation, steady-state support demand and transient faults.

[0049] Peak shaving and valley filling and flexible dispatching: The system can flexibly adjust the power consumption of biomass energy load units according to the changes in grid load. During peak power consumption periods, photovoltaic power plants are given priority to generate electricity and load peaks are adjusted from the grid. During low power consumption periods, load unit power consumption is increased to absorb surplus power from the grid. This peak shaving and valley filling strategy helps balance grid loads and reduce grid fluctuations.

[0050] Improve energy storage utilization: The energy storage device establishes communication connections with the power grid and photovoltaic power station through a bidirectional DC / DC converter, which can absorb and store excess power when there is excess power and release power when there is insufficient power. This flexible charging and discharging strategy improves the utilization rate of energy storage devices and enhances the adaptability of the power grid to fluctuations in renewable energy.

[0051] Continuous optimization of prediction model: The present invention also introduces a deep learning algorithm based on historical data and real-time data to continuously optimize the grid state prediction model. This continuous optimization mechanism improves the accuracy and reliability of the prediction model and provides a more accurate basis for intelligent scheduling and coordinated control.

[0052] Data backup and rapid recovery: The system builds a data backup and real-time monitoring mechanism, which can automatically start data backup when a system failure is detected, and quickly restore the normal operation of the power grid through optimized control strategies. This helps to improve the system's fault tolerance and reliability, and ensure the continuous and stable operation of the power grid.

[0053] In summary, the present invention provides strong support for the local consumption of new energy photovoltaic power stations and the safe and stable operation of power grids by improving the local consumption rate, ensuring the safe and stable operation of power grids, realizing peak shaving and valley filling and flexible scheduling, improving the utilization rate of energy storage, continuous optimization of prediction models, and data backup and rapid recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0055] Figure 1 A schematic diagram of a method flow chart provided by an embodiment of the present invention.

[0056] Figure 2 A schematic diagram of a safe and stable operation system for a photovoltaic micro energy network provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0058] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0059] The present invention provides a safe and stable operation method and system for a photovoltaic micro energy network, comprising:

[0060] In a first aspect, the present invention provides a safe and stable operation method for a photovoltaic micro energy network, comprising:

[0061] In step S101, photovoltaic power station data, power grid operation data, energy storage device operation data, biomass load device operation data, environmental parameter data and system fault information are obtained;

[0062] In step S102, the photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information are preprocessed, and the preprocessed photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information are data-fused to obtain a system operation data set, and the data in the system operation data set is substituted into a preset power grid state prediction model to obtain a power grid state prediction result, which includes the normal operation of the power grid, the need for steady-state support of the power grid and the occurrence of transient faults in the power grid;

[0063] In step S103, the grid state prediction result is matched with the preset control strategy to obtain a control instruction. The preset control strategy includes a peak shaving and valley filling strategy, a steady-state voltage and frequency regulation strategy, and a transient fault support strategy;

[0064] In step S104, the control instruction is parsed to obtain an actuator corresponding to the control instruction, and the control instruction is sent to the corresponding actuator, which includes an inverter of the photovoltaic power station, a bidirectional DC / DC converter of the energy storage device, and a control device of the biomass energy load unit;

[0065] In step S105, the preset grid state prediction model is optimized according to the real-time grid state and prediction results, and combined with the historical data and real-time data deep learning algorithm to obtain an optimized grid state prediction model, and the optimized grid state prediction model is deployed in the production environment for use.

[0066] Specifically, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention also includes:

[0067] The electricity generated by the photovoltaic power station is supplied to the biomass energy load device first. When the grid load is peak, the electricity consumption of the biogas station in the biomass energy load device is adjusted to reduce the electricity load of the biogas station in the biomass energy load device. The photovoltaic power station is given priority to participate in the peak load regulation of the grid. When the grid load is low, the electricity consumption of the biogas station in the biomass energy load device is increased, and the biogas station in the biomass energy load device absorbs the surplus electricity of the grid.

[0068] Specifically, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention includes, in step S103:

[0069] The energy storage device establishes a communication connection with the power grid and photovoltaic power station through a bidirectional DC / DC converter. When there is excess electricity, the energy storage device absorbs and stores excess electricity, and when there is insufficient electricity, the energy storage device releases electricity.

[0070] Specifically, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention includes, in step S103:

[0071] The data acquisition unit collects the power generation of the photovoltaic power station, the status of the energy storage device, the power demand of the biomass load device and the grid load data in real time, and monitors the environmental parameters, including light intensity and temperature;

[0072] By pre-building control strategies, it automatically analyzes and responds to changes in grid demand, adjusts the inverter output of the photovoltaic power station, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass energy load unit;

[0073] During peak electricity consumption periods, reduce the electricity consumption of biomass load units, give priority to using photovoltaic power plants to generate electricity and load-shift from the power grid;

[0074] During the low electricity consumption period, the power consumption of biomass load units is increased to absorb the surplus power of the power grid, and the excess power is stored in energy storage devices;

[0075] According to the steady-state support requirements and transient fault risks of the power grid, the control strategy adjusts the power output of the energy storage device and the reactive power compensation of the photovoltaic power station to maintain the stability of the grid frequency and voltage.

[0076] Specifically, the safe and stable operation method for a photovoltaic micro energy network provided by the present invention also includes:

[0077] Obtain the operation configuration and historical operation data of the power grid, and build data backup based on the operation configuration and historical operation data of the power grid;

[0078] Real-time monitoring of the operating status and fault information of photovoltaic power stations, energy storage devices, biomass load units and power grid load systems;

[0079] When a system failure is detected, data backup is automatically started and the normal operation of the power grid is quickly restored through optimized control strategies.

[0080] The second invention provides a safe and stable operation system for a photovoltaic micro-energy network, including: a server end, a data acquisition end and an actuator end, the server end establishes communication connections with the data acquisition end and the actuator end respectively, the data acquisition end collects the operation data of the photovoltaic power station, the energy storage device and the power grid load system through sensors, the server end receives the data collected by the data acquisition end, and analyzes and processes the data collected by the data acquisition end to generate commands for controlling the actuator end;

[0081] A data acquisition unit, which acquires photovoltaic power station data, power grid operation data, energy storage device operation data, biomass load device operation data, environmental parameter data, and system fault information;

[0082] A data processing unit pre-processes the photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information, and fuses the pre-processed photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information to obtain a system operation data set, and substitutes the data in the system operation data set into a preset power grid state prediction model to obtain a power grid state prediction result, which includes the normal operation of the power grid, the need for steady-state support of the power grid and the occurrence of transient faults in the power grid;

[0083] The control strategy generation unit matches the grid state prediction result with the preset control strategy to obtain the control instruction. The preset control strategy includes peak shaving and valley filling strategy, steady-state voltage and frequency regulation strategy, and transient fault support strategy.

[0084] The command execution unit parses the control instruction, obtains the execution mechanism corresponding to the control instruction, and sends the control instruction to the corresponding execution mechanism, which includes the inverter of the photovoltaic power station, the bidirectional DC / DC converter of the energy storage device, and the control device of the biomass energy load unit;

[0085] The optimization unit optimizes the preset grid state prediction model according to the real-time grid state and prediction results, and combines historical data and real-time data deep learning algorithms to obtain an optimized grid state prediction model, and deploys the optimized grid state prediction model in a production environment for use.

[0086] Specifically, the safe and stable operation system for the photovoltaic micro-energy network provided by the present invention also includes a synchronization unit, which gives priority to supplying the electricity generated by the photovoltaic power station to the biomass energy load device, adjusts the power consumption of the biogas station in the biomass energy load device when the grid load is peak, reduces the power consumption load of the biogas station in the biomass energy load device, and enables the photovoltaic power station to participate in grid peak regulation first. When the grid load is low, the power consumption of the biogas station in the biomass energy load device is increased, and the biogas station in the biomass energy load device absorbs surplus power from the grid.

[0087] Specifically, the safe and stable operation system for a photovoltaic micro-energy network provided by the present invention, the control strategy generation unit, includes: an energy storage device establishes a communication connection with a power grid and a photovoltaic power station through a bidirectional DC / DC converter, the energy storage device absorbs and stores excess electricity when there is excess electricity, and releases electricity when there is insufficient electricity.

[0088] Specifically, the safe and stable operation system for photovoltaic micro energy grid provided by the present invention, the control strategy generation unit includes:

[0089] The data acquisition unit collects the power generation of the photovoltaic power station, the status of the energy storage device, the power demand of the biomass energy load unit and the grid load data in real time, and monitors the environmental parameters, including light intensity and temperature;

[0090] Through the pre-built intelligent dispatching system, it automatically analyzes and responds to changes in grid demand, adjusts the inverter output of the photovoltaic power station, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass energy load unit;

[0091] During peak electricity consumption periods, reduce the electricity consumption of biomass load units, give priority to using photovoltaic power plants to generate electricity and load-shift from the power grid;

[0092] During the period of low electricity consumption, the electricity consumption of the biomass energy load unit is increased to absorb the surplus electricity of the power grid, and the excess electricity is stored in the energy storage device.

[0093] According to the steady-state support requirements and transient fault risks of the power grid, the intelligent dispatching system will also adjust the power output of the energy storage device and the reactive power compensation of the photovoltaic power station to maintain the frequency and voltage stability of the power grid.

[0094] Specifically, the safe and stable operation system for photovoltaic micro energy network provided by the present invention also includes a data backup unit:

[0095] Obtain the operation configuration and historical operation data of the power grid, and build data backup based on the operation configuration and historical operation data of the power grid;

[0096] Real-time monitoring of the operating status and fault information of photovoltaic power stations, energy storage devices, biomass load units and power grid load systems;

[0097] When a system failure is detected, data backup is automatically started and the normal operation of the power grid is quickly restored through optimized control strategies.

[0098] The present invention relates to a photovoltaic micro-energy network that participates in peak shaving and valley filling of power grids, operates safely and stably, can be connected to or off-grid, and has adjustable load. The micro-energy network includes a photovoltaic power station, an adjustable biomass energy device, energy storage, and a transformer, and interacts with the power grid at the same time. While increasing the regional photovoltaic installed capacity, the local consumption rate is increased, ensuring the safe and stable operation of the new energy transmission power grid and the low-load terminal power grid.

[0099] The photovoltaic panels in the photovoltaic power station generate direct current (DC), which is stepped up and stabilized by a step-up DC / DC converter and then input into the tractor drive converter to output alternating current. The generator stack is composed of an electric motor M and a synchronous generator G as an integrated unit. After generating electricity, it is connected to the power station AC bus through a circuit breaker. The AC bus interacts with the power grid and load through a transformer. Energy storage 1 is connected to the DC side of the tractor drive converter and the synchronous generator excitation power supply through a bidirectional DC / DC converter.

[0100] The specific implementation steps of the present invention are as follows:

[0101] When the grid operates normally during the day, only active power is transmitted between the synchronization-friendly PV power plant, biogas plant and the grid.

[0102] When electricity consumption is at a normal level, the electricity generated by the photovoltaic power station is used by the biogas station; when electricity consumption is at a peak, the electricity consumption of the biogas station is adjusted to reduce the electricity load, and the electricity generated by the photovoltaic power station is preferentially used for grid peak regulation, and the remaining grid is used by the biogas station;

[0103] When electricity consumption is at a low point, the electricity consumption of the biogas station is adjusted to increase the electricity load and absorb the surplus electricity from the power grid. At the same time, the photovoltaic power station provides electricity for the biogas station.

[0104] When electricity consumption is at a normal level and the grid has a primary frequency regulation and steady-state voltage support requirement, the electricity generated by the photovoltaic power station is used by the biogas station. When the grid needs a primary frequency regulation, the grid frequency drops. The energy storage device includes energy storage device A and energy storage device B. Energy storage device A cooperates with the photovoltaic system to increase the active power output of the synchronous-friendly photovoltaic power station, thereby increasing the grid frequency.

[0105] When the grid frequency rises, the active power output of the photovoltaic power station is reduced by reducing the active output of the photovoltaic panels, thereby reducing the grid frequency; when the grid needs steady-state voltage support, the corresponding reactive power is output by adjusting the excitation current of the synchronous generator to achieve steady-state voltage support. When the grid connection point voltage drops, the inductive reactive output is increased, and when the grid connection point voltage rises, the capacitive reactive output is increased.

[0106] When electricity consumption is at its peak and the grid has a need for primary frequency regulation and steady-state voltage support, the electricity consumption of the biogas station is adjusted to reduce the electricity load. The electricity generated by the synchronous-friendly photovoltaic power station is given priority to participate in the grid peak regulation, and the remaining grid is used by the biogas station. When the grid needs primary frequency regulation, the grid frequency drops, and the energy storage device A cooperates with the photovoltaic system to increase the active power output of the synchronous-friendly photovoltaic power station, thereby increasing the grid frequency;

[0107] When the grid frequency rises, the active power output of the synchronous-friendly PV power station is reduced by reducing the active output of the PV panels, thereby reducing the grid frequency;

[0108] When the power grid needs steady-state voltage support, the corresponding reactive power is output by adjusting the excitation current of the synchronous generator to achieve steady-state voltage support. When the grid voltage drops, the inductive reactive power output is increased, and when the grid voltage rises, the capacitive reactive power output is increased.

[0109] When electricity consumption is at a low point and the grid has a need for primary frequency regulation and steady-state voltage support, the electricity consumption of the biogas station is adjusted to increase the electricity load and absorb the surplus electricity of the grid. At the same time, the synchronous-friendly photovoltaic power station provides electricity for the biogas station. When the grid needs primary frequency regulation, the grid frequency drops, and the energy storage device A cooperates with the photovoltaic system to increase the active power output of the synchronous-friendly photovoltaic power station, thereby increasing the grid frequency;

[0110] When the grid frequency rises, the active power output of the synchronous-friendly photovoltaic power station is reduced by reducing the active output of the photovoltaic panels, thereby reducing the grid frequency; when the grid needs steady-state voltage support, the corresponding reactive power is output by adjusting the excitation current of the synchronous generator to achieve steady-state voltage support. When the grid connection point voltage drops, the inductive reactive output is increased, and when the grid connection point voltage rises, the capacitive reactive output is increased.

[0111] When electricity consumption is at a normal level and the grid has a transient support demand, the electricity generated by the synchronous-friendly photovoltaic power station is used by the biogas station. At the same time, the voltage at the grid connection point is detected to determine whether the grid has a transient overvoltage fault or a low voltage fault. If a transient overvoltage fault occurs in the grid, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple capacitive reactive power through transient and sub-transient reactances, instantly reducing the grid voltage. When in a steady state, capacitive reactive power is generated through the excitation power supply until the voltage is restored. If a low voltage fault occurs in the grid, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple inductive reactive power through transient and sub-transient reactances, instantly increasing the grid voltage. When in a steady state, inductive reactive power is generated through the excitation power supply until the voltage is restored.

[0112] When the power consumption is at its peak and the grid has a transient support demand, the power consumption of the biogas station is adjusted to reduce the power load. The power generated by the synchronous-friendly photovoltaic power station is preferentially used to participate in the peak load regulation of the grid, and the remaining grid is used by the biogas station. At the same time, by detecting the voltage at the grid connection point, it is determined whether the grid has a transient overvoltage fault or a low voltage fault. If the grid has a transient overvoltage fault system, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple capacitive reactive power through transient and sub-transient reactance, instantly reducing the grid voltage. When in a steady state, capacitive reactive power is generated through the excitation power supply until the voltage is restored; if the grid has a low voltage fault, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple inductive reactive power through transient and sub-transient reactance, instantly increasing the grid voltage. When in a steady state, inductive reactive power is generated through the excitation power supply until the voltage is restored.

[0113] When electricity consumption is at a low point and the grid has a transient support demand, the electricity consumption of the biogas station is adjusted to increase the electricity load and absorb the surplus electricity of the grid. At the same time, the synchronous-friendly photovoltaic power station provides electricity for the biogas station. And by detecting the voltage at the grid connection point, it is determined whether the grid has a transient overvoltage fault or a low voltage fault. If the grid has a transient overvoltage fault system, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple capacitive reactive power through transient and sub-transient reactance, instantly reducing the grid voltage. When in a steady state, capacitive reactive power is generated through the excitation power supply until the voltage is restored; if the grid has a low voltage fault, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple inductive reactive power through transient and sub-transient reactance, instantly increasing the grid voltage. When in a steady state, inductive reactive power is generated through the excitation power supply until the voltage is restored.

[0114] When the power grid operates normally at night and electricity consumption is at a normal level or at a peak, the synchronous generator of the synchronous-friendly photovoltaic power station runs at no load; the heat storage device in the biogas station has stored enough heat for daytime and nighttime use, and all electrical equipment is supplied with electricity by the energy storage device B.

[0115] When electricity consumption is at a low point, the electricity consumption of the biogas station is adjusted to increase the electricity load and absorb the surplus electricity of the power grid. At this time, the power equipment is provided with electricity by the power grid and energy storage system B; the synchronous generator of the synchronous-friendly photovoltaic power station runs at no load;

[0116] When the power grid needs steady-state support at night and electricity consumption is at normal levels or at peak levels, the heat storage device in the biogas station has stored enough heat for daytime and nighttime use, and all electrical equipment is powered by energy storage device B. When the power grid needs primary frequency modulation, the grid frequency drops, and energy storage device A increases the active power output of the synchronous-friendly photovoltaic power station, thereby increasing the grid frequency; when the power grid needs steady-state voltage support, the corresponding reactive power is output by adjusting the excitation current of the synchronous generator to achieve steady-state voltage support. When the grid connection point voltage drops, the inductive reactive output is increased, and when the grid connection point voltage rises, the capacitive reactive output is increased.

[0117] When electricity consumption is at a low point, the electricity consumption of the biogas station is adjusted to increase the electricity load and absorb the surplus electricity of the power grid. At this time, the power consumption equipment is provided with electricity by the power grid and energy storage device B. When the power grid needs primary frequency regulation, the grid frequency drops, and the energy storage device A increases the active power output of the synchronous friendly photovoltaic power station, thereby increasing the grid frequency; when the power grid needs steady-state voltage support, the corresponding reactive power is output by adjusting the excitation current of the synchronous generator to achieve steady-state voltage support. When the grid connection point voltage drops, the inductive reactive output is increased, and when the grid connection point voltage rises, the capacitive reactive output is increased.

[0118] When the power grid needs transient support at night and the power consumption is at a normal level or at a peak, the heat storage device in the biogas station has stored enough heat for the daytime and nighttime use, and all power-consuming equipment is provided with power by the energy storage device B. At the same time, by detecting the voltage at the grid connection point, it is determined whether the grid has a transient overvoltage fault or a low voltage fault. If the grid has a transient overvoltage fault system, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple capacitive reactive power through transient and sub-transient reactances, instantly reducing the grid voltage, and in a steady state, capacitive reactive power is generated through the excitation power supply until the voltage is restored; if the grid has a low voltage fault, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple inductive reactive power through transient and sub-transient reactances, instantly increasing the grid voltage, and in a steady state, inductive reactive power is generated through the excitation power supply until the voltage is restored.

[0119] When the power consumption is at a low point, the power consumption of the biogas station is adjusted to increase the power load and absorb the surplus power of the power grid. At this time, the power consumption equipment is provided with power by the power grid and the energy storage device B. At the same time, by detecting the voltage at the grid connection point, it is determined whether the power grid has a transient overvoltage fault or a low voltage fault. If the power grid has a transient overvoltage fault system, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple capacitive reactive power through transient and sub-transient reactances, instantly reducing the grid voltage. When in a steady state, capacitive reactive power is generated through the excitation power supply until the voltage is restored; if the power grid has a low voltage fault, the synchronous generator in the synchronous-friendly photovoltaic power station instantly provides multiple inductive reactive power through transient and sub-transient reactances, instantly increasing the grid voltage. When in a steady state, inductive reactive power is generated through the excitation power supply until the voltage is restored.

[0120] The technical solution of the present invention solves the problem that it is difficult for traditional power grids to fully absorb the newly added photovoltaic power locally, resulting in power transmission losses and power grid instability in the following ways:

[0121] Integrated micro-energy grid system: This invention builds a micro-energy grid system that integrates photovoltaic power stations, biomass energy loads, energy storage devices and transformers. This integrated design allows photovoltaic power to be closer to the local load center, reducing power transmission distance and losses, thereby increasing the local consumption rate.

[0122] Intelligent dispatching and coordinated control: The present invention collects the operating data of photovoltaic power plants, energy storage devices, biomass load devices and power grid load systems in real time, monitors environmental parameters, and automatically analyzes and responds to changes in power grid demand. According to the grid state prediction results, the system generates corresponding control instructions to adjust the inverter output of the photovoltaic power plant, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass load unit to achieve peak shaving and valley filling and load balancing.

[0123] Peak-shaving and valley-filling strategy: During peak electricity consumption, the system reduces the power consumption of biomass load units, allowing photovoltaic power plants to participate in grid peak regulation first and reduce the power demand dispatched from the grid. During low electricity consumption, the system increases the power consumption of biomass load units, absorbs the surplus power of the grid, and uses energy storage devices to store excess power, further improving the local consumption rate.

[0124] Application of energy storage devices: Energy storage devices establish communication connections with the power grid and photovoltaic power plants through bidirectional DC / DC converters, which can absorb and store excess power when there is excess power, and release power when there is insufficient power. This flexible charging and discharging strategy not only improves the utilization rate of energy storage devices, but also enhances the adaptability of the power grid to fluctuations in renewable energy, helping to stabilize the operation of the power grid.

[0125] Prediction model and optimization: This invention introduces a deep learning algorithm based on historical data and real-time data to continuously optimize the grid state prediction model. Through continuous learning and adjustment, the accuracy and reliability of the prediction model are improved, providing a more accurate basis for intelligent scheduling and coordinated control, and helping to better cope with grid fluctuations and instability.

[0126] Data backup and rapid recovery: The present invention builds a data backup mechanism to monitor the operating status and fault information of photovoltaic power stations, energy storage devices, biomass energy load units and power grid load systems in real time. When a system fault is detected, the system automatically starts data backup and quickly restores the normal operation of the power grid through optimized control strategies, improving the fault tolerance and reliability of the system.

[0127] In summary, the technical solution of the present invention effectively solves the problem that it is difficult for traditional power grids to fully absorb the newly added photovoltaic power on site through integrated micro-energy grid systems, intelligent scheduling and coordinated control, peak shaving and valley filling strategies, the application of energy storage devices, prediction models and optimization, and data backup and rapid recovery. It improves the on-site absorption rate, reduces power transmission losses, and ensures the safe and stable operation of the power grid.

[0128] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A safe and stable operation method for a photovoltaic micro energy network, characterized in that: include: In step S101, photovoltaic power station data, power grid operation data, energy storage device operation data, biomass load device operation data, environmental parameter data and system fault information are obtained; In step S102, the photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information are preprocessed, and the preprocessed photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information are data-fused to obtain a system operation data set, and the data in the system operation data set is substituted into a preset power grid state prediction model to obtain a power grid state prediction result, which includes the normal operation of the power grid, the need for steady-state support of the power grid and the occurrence of transient faults in the power grid; In step S103, the grid state prediction result is matched with the preset control strategy to obtain a control instruction. The preset control strategy includes a peak shaving and valley filling strategy, a steady-state voltage and frequency regulation strategy, and a transient fault support strategy; In step S104, the control instruction is parsed to obtain an actuator corresponding to the control instruction, and the control instruction is sent to the corresponding actuator, which includes an inverter of the photovoltaic power station, a bidirectional DC / DC converter of the energy storage device, and a control device of the biomass energy load unit; In step S105, the preset grid state prediction model is optimized according to the real-time grid state and prediction results, and combined with the historical data and real-time data deep learning algorithm to obtain an optimized grid state prediction model, and the optimized grid state prediction model is deployed in the production environment for use.

2. The safe and stable operation of the photovoltaic micro energy network according to claim 1, characterized in that: Also includes: The electricity generated by the photovoltaic power station is supplied to the biomass energy load device first. When the grid load is peak, the electricity consumption of the biogas station in the biomass energy load device is adjusted to reduce the electricity load of the biogas station in the biomass energy load device. The photovoltaic power station is given priority to participate in the peak load regulation of the grid. When the grid load is low, the electricity consumption of the biogas station in the biomass energy load device is increased, and the biogas station in the biomass energy load device absorbs the surplus electricity of the grid.

3. The safe and stable operation method for photovoltaic micro energy network according to claim 1, characterized in that: include: The energy storage device establishes a communication connection with the power grid and photovoltaic power station through a bidirectional DC / DC converter. When there is excess electricity, the energy storage device absorbs and stores excess electricity, and when there is insufficient electricity, the energy storage device releases electricity.

4. The safe and stable operation method for photovoltaic micro energy network according to claim 1, characterized in that: include: The data acquisition unit collects the power generation of the photovoltaic power station, the status of the energy storage device, the power demand of the biomass load device and the grid load data in real time, and monitors the environmental parameters, including light intensity and temperature; By pre-building control strategies, it automatically analyzes and responds to changes in grid demand, adjusts the inverter output of the photovoltaic power station, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass energy load unit; During peak electricity consumption periods, reduce the electricity consumption of biomass load units, give priority to using photovoltaic power plants to generate electricity and load-shift from the power grid; During the low electricity consumption period, the power consumption of biomass load units is increased to absorb the surplus power of the power grid, and the excess power is stored in energy storage devices; According to the steady-state support requirements and transient fault risks of the power grid, the control strategy adjusts the power output of the energy storage device and the reactive power compensation of the photovoltaic power station to maintain the stability of the grid frequency and voltage.

5. The safe and stable operation method for photovoltaic micro energy network according to claim 1, characterized in that: Also includes: Obtain the operation configuration and historical operation data of the power grid, and build data backup based on the operation configuration and historical operation data of the power grid; Real-time monitoring of the operating status and fault information of photovoltaic power stations, energy storage devices, biomass load units and power grid load systems; When a system failure is detected, data backup is automatically started and the normal operation of the power grid is quickly restored through optimized control strategies.

6. A safe and stable operation system for photovoltaic micro energy network, characterized in that: include: The server side, the data collection side and the actuator side respectively establish communication connections with the data collection side and the actuator side. The data collection side collects the operation data of the photovoltaic power station, the energy storage equipment and the power grid load system through sensors. The server side receives the data collected by the data collection side, analyzes and processes the data collected by the data collection side, and generates commands for controlling the actuator side. A data acquisition unit, which acquires photovoltaic power station data, power grid operation data, energy storage device operation data, biomass load device operation data, environmental parameter data, and system fault information; A data processing unit pre-processes the photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information, and fuses the pre-processed photovoltaic power station data, the power grid operation data, the energy storage device operation data, the biomass energy load device operation data, the environmental parameter data and the system fault information to obtain a system operation data set, and substitutes the data in the system operation data set into a preset power grid state prediction model to obtain a power grid state prediction result, which includes the normal operation of the power grid, the need for steady-state support of the power grid and the occurrence of transient faults in the power grid; The control strategy generation unit matches the grid state prediction result with the preset control strategy to obtain the control instruction. The preset control strategy includes peak shaving and valley filling strategy, steady-state voltage and frequency regulation strategy, and transient fault support strategy. The command execution unit parses the control instruction, obtains the execution mechanism corresponding to the control instruction, and sends the control instruction to the corresponding execution mechanism, which includes the inverter of the photovoltaic power station, the bidirectional DC / DC converter of the energy storage device, and the control device of the biomass energy load unit; The optimization unit optimizes the preset grid state prediction model according to the real-time grid state and prediction results, and combines historical data and real-time data deep learning algorithms to obtain an optimized grid state prediction model, and deploys the optimized grid state prediction model in a production environment for use.

7. The safe and stable operation system for photovoltaic micro energy grid according to claim 6, characterized in that: It also includes a synchronization unit, which gives priority to supplying the electricity generated by the photovoltaic power station to the biomass energy load device, adjusts the power consumption of the biogas station in the biomass energy load device when the grid load is peak, reduces the power consumption load of the biogas station in the biomass energy load device, and enables the photovoltaic power station to participate in grid peak regulation first. When the grid load is low, the power consumption of the biogas station in the biomass energy load device is increased, and the biogas station in the biomass energy load device absorbs surplus power from the grid.

8. The safe and stable operation system for photovoltaic micro energy grid according to claim 7, characterized in that: The control strategy generating unit includes: the energy storage device establishes a communication connection with the power grid and the photovoltaic power station through a bidirectional DC / DC converter, the energy storage device absorbs and stores excess power when there is excess power, and releases power when there is insufficient power.

9. The safe and stable operation system for photovoltaic micro energy grid according to claim 8, characterized in that: Control strategy generation unit, including: The data acquisition unit collects the power generation of the photovoltaic power station, the status of the energy storage device, the power demand of the biomass energy load unit and the grid load data in real time, and monitors the environmental parameters, including light intensity and temperature; Through the pre-built intelligent dispatching system, it automatically analyzes and responds to changes in grid demand, adjusts the inverter output of the photovoltaic power station, the charging and discharging strategy of the energy storage device, and the power consumption plan of the biomass energy load unit; During peak electricity consumption periods, reduce the electricity consumption of biomass load units, give priority to using photovoltaic power plants to generate electricity and load-shift from the power grid; During the low electricity consumption period, the power consumption of biomass load units is increased to absorb the surplus power of the power grid, and the excess power is stored in energy storage devices; According to the steady-state support requirements and transient fault risks of the power grid, the intelligent dispatching system will also adjust the power output of the energy storage device and the reactive power compensation of the photovoltaic power station to maintain the frequency and voltage stability of the power grid.

10. The safe and stable operation system for photovoltaic micro energy grid according to claim 9, characterized in that: Also includes, data backup unit: Obtain the operation configuration and historical operation data of the power grid, and build data backup based on the operation configuration and historical operation data of the power grid; Real-time monitoring of the operating status and fault information of photovoltaic power stations, energy storage devices, biomass load units and power grid load systems; When a system failure is detected, data backup is automatically started and the normal operation of the power grid is quickly restored through optimized control strategies.

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