Incremental distribution network source-grid-load-storage coordinated control system

Abstract

The present invention discloses a source-grid-load-storage coordinated control system for an incremental distribution network, which belongs to the field of source-grid-load-storage coordinated control technology. The source-grid-load-storage coordinated control system for an incremental distribution network includes a data acquisition module, a data analysis module, a safety assessment module, and a control module. The present invention solves the problem that the prior art realizes incremental distribution network power generation by connecting to gas turbines and generator sets, which not only easily causes energy waste but also easily leads to the risk of overload. The present invention can analyze the safe and stable operation characteristics of the incremental distribution network after energy storage is connected, ensure full utilization of photovoltaic power generation under the premise of meeting safe and stable operation, maximize economic benefits, ensure safe and stable operation of the power grid, avoid situations such as reverse flow to the main grid or main transformer and line overload, and make full use of the charging and discharging capacity of energy storage, which is of great significance for peak shaving and valley filling, increasing the proportion of new energy consumption and emergency power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of source-grid-load-storage coordinated control, and in particular to an incremental distribution network source-grid-load-storage coordinated control system. Background Art

[0002] The incremental distribution network refers to the 110 kV and below power grid and the 220 (330) kV and below local power grids such as industrial parks and economic development zones. The multi-dimensional interaction of "source-grid-load" within the incremental distribution network has changed the previous passive and deterministic operation mode of the distribution network, posing a major challenge to the operation and control of the distribution network. Therefore, how to coordinate the operation of the incremental distribution network and reasonably control the power interaction between the incremental distribution network and the distribution network is particularly critical.

[0003] Chinese patent publication number CN111509711B discloses a coordinated parallel control method and system for a medium- and low-voltage distribution network containing multiple incremental distribution networks. The method collects information within the incremental distribution network and, based on the cost structure of the incremental distribution network during operation, establishes an operation control target with minimal operating costs and establishes constraints to establish an optimal control model for the incremental distribution network. The distribution network operation control objective function and constraints are established to establish an optimal control model for the medium- and low-voltage distribution network. The incremental distribution network optimization control model and the medium- and low-voltage distribution network optimization control model are calculated in parallel to achieve energy transaction consistency, obtaining the optimal control power of the incremental distribution network and the optimal control power of the medium- and low-voltage distribution network. This solves the problem of safe and stable energy trading between multiple incremental distribution networks and the medium- and low-voltage distribution network, achieving economic benefits for the operating entity while also achieving optimal operation control.

[0004] In actual use, the above patent realizes incremental distribution network power generation by connecting gas turbines and generator sets, which not only easily causes energy waste, but also easily leads to overload risks. Therefore, it does not meet existing needs. In response to this, we propose an incremental distribution network source-grid-load-storage coordinated control system. Summary of the Invention

[0005] The purpose of the present invention is to provide an incremental distribution network source-grid-load-storage coordinated control system, which can analyze the safe and stable operation characteristics of the incremental distribution network after energy storage is connected, ensure the full utilization of photovoltaic power generation under the premise of meeting safe and stable operation, maximize economic benefits, optimize the photovoltaic grid-connected safety and stability control strategy, ensure the safe and stable operation of the power grid, avoid the occurrence of power flow back to the main grid or main transformer and line overload, form a photovoltaic-energy storage new energy complementary system within the incremental distribution network, and fully utilize the charging and discharging capacity of energy storage, which is of great significance for peak shaving and valley filling, increasing the proportion of new energy consumption and emergency power supply, and solves the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an incremental distribution network source-grid-load-storage coordinated control system, comprising:

[0007] The data acquisition module is used to obtain real-time operation data of the incremental distribution network, power generation information, and load demand data, and classify the acquired data;

[0008] The data analysis module is used to establish energy storage control and photovoltaic access models and input the classified data into the energy storage control and photovoltaic access models according to their types. The energy storage control and photovoltaic access models analyze the stability characteristics of the incremental distribution network.

[0009] A safety assessment module is used to analyze and assess the risk value of the incremental distribution network after energy storage is connected based on the acquired incremental distribution network operation data, and to determine the risk level of the incremental distribution network operation status after energy storage is connected based on the assessment results of the risk assessment module;

[0010] The control module is used to formulate a source-grid-load-storage coordinated control strategy that conforms to the current status of the incremental distribution network based on the risk level judgment results of the incremental distribution network operation status after the energy storage is connected, and to perform corresponding regulation according to the source-grid-load-storage control strategy.

[0011] Preferably, the data acquisition module includes

[0012] Data acquisition module, used to collect relevant data of incremental distribution network and transmit the collected relevant data to the data classification module

[0013] The data classification module is used to classify the collected incremental distribution network related data according to real-time operation data, power generation information and collected load demand data.

[0014] Preferably, the data analysis module includes

[0015] The model building module is used to collect historical load data of the incremental distribution network, typical daily photovoltaic output, and photovoltaic access capacity of the incremental distribution network, and build energy storage control and photovoltaic access models based on the collected data;

[0016] Photovoltaic analysis module, used to collect photovoltaic data of the day and analyze the time period with the lowest photovoltaic output;

[0017] The photovoltaic prediction module is used to predict the photovoltaic output of the next day based on the photovoltaic data collected on the day.

[0018] Preferably, the model building module specifically includes:

[0019] Collect historical operating data of the incremental distribution network, as well as typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network; operating data includes reactive power, voltage, frequency and power angle data of the incremental distribution network;

[0020] Clean the collected incremental distribution network load data, remove outliers and missing data, and perform smoothing and detrending preprocessing;

[0021] Taking the maximum photovoltaic access capacity and the lowest risk of the incremental distribution network as the objective function, the historical daily photovoltaic output and the photovoltaic access capacity of the incremental distribution network as constraints, and combining the processed load data of the incremental distribution network, a storage photovoltaic access model for the incremental distribution network is constructed.

[0022] Preferably, the safety assessment module includes

[0023] A risk assessment module is used to analyze and assess the risk of the incremental distribution network after energy storage is connected based on the acquired incremental distribution network operation data;

[0024] The judgment module is used to judge the risk level of the incremental distribution network operation status after the energy storage is connected based on the evaluation results of the risk assessment module.

[0025] Preferably, the judgment process of the judgment module specifically includes:

[0026] Risk assessment levels are divided based on the incremental distribution network risk value after energy storage integration:

[0027] When the power quality harmonics of the incremental distribution network after energy storage is connected do not meet the requirements, the current risk assessment level is judged to be level one risk;

[0028] When the power quality harmonics of the incremental distribution network after energy storage integration do not meet the requirements and the grid dispatch needs to reduce active power, the current risk assessment level is judged to be level 2 risk;

[0029] Preferably, the control module includes:

[0030] A strategy customization module is used to formulate a source-grid-load-storage coordinated control strategy that conforms to the status of the incremental distribution network based on the risk level of the incremental distribution network after energy storage is connected;

[0031] The charging and discharging module is used to charge and discharge the energy storage according to the source-grid-load-storage control strategy within the allowable limit of the incremental distribution network;

[0032] The strategy adjustment module is used to monitor the status of photovoltaic output and energy storage in real time during the strategy control process, and make corresponding adjustments to the source-grid-load-storage coordinated control strategy based on the status of photovoltaic output and energy storage.

[0033] Preferably, the control process of the control module specifically includes:

[0034] During the period of minimum PV output on the day, combined with the predicted PV output for the next day, the energy storage is charged and discharged according to the source-grid-load-storage control strategy of the incremental distribution network, within the allowable limits of the incremental distribution network.

[0035] The battery is preset to a charging or discharging state that meets the maximum demand of the next day and then stops.

[0036] When the main transformer or line is overloaded or the photovoltaic power generation exceeds expectations, the energy storage and photovoltaic output are controlled in real time.

[0037] Preferably, the policy customization module specifically includes:

[0038] When the risk assessment level is judged to be level one, priority is given to controlling the incremental distribution network harmonics;

[0039] When the risk assessment level is judged to be level 2 risk, the unbalanced power of the power difference between the current photovoltaic output of the incremental distribution network and the load demand is obtained;

[0040] Based on the unbalanced power, the active power value that needs to be adjusted is calculated, and the controllable load power supply is cut off first. Then, the source, grid, load and storage coordinated control is carried out in the order of energy storage and photovoltaic power generation.

[0041] Preferably, the calculation formula for the photovoltaic output on that day is:

[0042]

[0043] Among them, L i is the rated power of the photovoltaic power source of the incremental distribution network, a t is the power temperature coefficient of the photovoltaic panels of the incremental distribution network, t is the temperature of the photovoltaic panels during the operation of the incremental distribution network, and R(α, m, d, h) represents the hourly average surface solar irradiance at h hour on the same day of the month in the region where the incremental distribution network is located at latitude α. When the L value is the smallest, the value of h is the period of minimum photovoltaic output on that day.

[0044] Preferably, the incremental distribution network source-grid-load-storage coordinated control system further includes:

[0045] Environmental monitoring module, used to monitor the environmental data of incremental distribution network operation in real time, including ambient temperature, ambient humidity and sunshine intensity;

[0046] The environmental impact module is used to build an environmental impact prediction model for each device in the monitored incremental distribution network based on a convolutional neural network. The model is trained using a training set, validation set, and test set selected from the historical operating data and historical environmental data of the monitored incremental distribution network. The trained environmental impact prediction model for each device is used to predict the environmental impact of the corresponding device during operation.

[0047] A fault-tolerance mechanism module is used to determine the type of fault risk and implement equipment detection and adjustment when the environmental impact prediction model predicts the environmental impact of the running equipment, and to identify and repair errors in data or operations;

[0048] The redundancy switching module is used to determine the switching control of relevant key components with redundant configuration according to the prediction of the corresponding environmental impact prediction model. That is, if it is predicted that there is a state risk of the currently running key component, it will switch to enabling the redundant key component to ensure the continuous operation of the system.

[0049] Preferably, the fault tolerance mechanism module includes:

[0050] The fault risk function construction submodule is used to construct the probability density function of the fault state of the corresponding equipment based on the correlation between the operating status of each equipment under investigation and the environmental data in the incremental distribution network;

[0051] The fault-tolerance and repair evaluation submodule is used to calculate the reliability index of environmental impact prediction using the following formula:

[0052]

[0053] Among them, τ is the reliability index of environmental impact prediction, m is the set of equipment included in the incremental distribution network, t i The time required to repair the i-th device, Rf(t i ) is the probability density function of the i-th device being in a fault state at time t, T r0 It is the preset equipment repair time threshold;

[0054] The fault tolerance warning submodule is used to compare the reliability index of the environmental impact prediction calculated by the fault tolerance repair assessment submodule with the index threshold. If the reliability index is less than the index threshold, a fault tolerance warning message is output.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] By building an energy storage control and photovoltaic access model, the present invention can analyze the safe and stable operation characteristics of the incremental distribution network after energy storage is connected, and can formulate the optimal coordination plan of photovoltaic and energy storage based on the analysis results, ensuring full utilization of photovoltaic power generation under the premise of meeting safe and stable operation, realizing maximum economic benefits, optimizing the photovoltaic grid-connected safety and stability control strategy, ensuring safe and stable operation of the power grid, avoiding the occurrence of power flow back to the main grid or main transformer and line overload, forming a photovoltaic-energy storage new energy complementary system within the incremental distribution network, and making full use of the charging and discharging capacity of energy storage, which is of great significance for peak shaving and valley filling, increasing the proportion of new energy consumption and emergency power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a schematic diagram of the incremental distribution network source-grid-load-storage coordinated control system module of the present invention;

[0058] Figure 2 This is the working flow diagram of the incremental distribution network source-grid-load-storage coordinated control system of the present invention. DETAILED DESCRIPTION

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying 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 making creative efforts are within the scope of protection of the present invention.

[0060] In order to solve the problem that the existing incremental power generation of the distribution network is achieved by connecting gas turbines and generator sets in actual use, which not only easily causes energy waste but also easily leads to the risk of overload, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0061] The incremental distribution network source-grid-load-storage coordinated control system includes:

[0062] The data acquisition module is used to obtain real-time operating data, power generation information, and load demand data of the incremental distribution network, and classify the acquired data. It can combine the data of the incremental distribution network to carry out coordinated control of the source, grid, load, and storage of the incremental distribution network, thus ensuring the stability of the incremental distribution network operation;

[0063] The data analysis module is used to establish an energy storage control and photovoltaic access model and input the classified data into the energy storage control and photovoltaic access models according to their types. The energy storage control and photovoltaic access models analyze the stability characteristics of the incremental distribution network. By analyzing the operating status of the incremental distribution network, the corresponding source-grid-load-storage control strategy can be selected according to the operating status of the incremental distribution network, ensuring the full utilization of photovoltaic power generation and avoiding energy waste while ensuring safe and stable operation.

[0064] The safety assessment module is used to analyze and assess the risk value of the incremental distribution network after energy storage integration based on the acquired incremental distribution network operation data. Based on the assessment results of the risk assessment module, the risk level of the incremental distribution network operation status after energy storage integration is determined. Based on the analysis results, the optimal coordination plan for photovoltaic and energy storage can be formulated to ensure the safe and stable operation of the power grid and avoid situations such as power flow back to the main grid or overload of main transformers and lines.

[0065] The control module is used to formulate a source-grid-load-storage coordinated control strategy that conforms to the current status of the incremental distribution network based on the risk level judgment results of the incremental distribution network operation status after the energy storage is connected. It performs corresponding adjustments based on the source-grid-load-storage control strategy, and can pre-set the energy storage charging and discharging plan in advance according to the photovoltaic load forecast data. At the same time, it can meet the requirements of real-time adjustment. It makes corresponding adjustments to the source-grid-load-storage coordinated control strategy according to the photovoltaic output and the status of energy storage, thereby optimizing the safe and stable control strategy of photovoltaic grid connection.

[0066] As a key part of energy storage projects, the source-grid-load-storage coordinated control strategy is crucial to the efficient and stable operation of energy storage and photovoltaics. By building an energy storage control and photovoltaic access model, it is possible not only to analyze the safe and stable operation characteristics of the incremental distribution network after energy storage access, but also to formulate the optimal coordination plan for photovoltaics and energy storage based on the analysis results. It is possible to pre-set the energy storage charging and discharging plan in advance based on photovoltaic load forecast data, and meet real-time adjustments at the same time. Under the premise of ensuring safe and stable operation, it ensures the full utilization of photovoltaic power generation and maximizes economic benefits. It optimizes the safe and stable control strategy of photovoltaic grid connection, ensures the safe and stable operation of the power grid, and avoids the occurrence of power flow back to the main grid or main transformer and line overload.

[0067] Data acquisition module, including

[0068] The data acquisition module is used to collect relevant data of the incremental distribution network and transmit the collected relevant data to the data classification module. By connecting to photovoltaics, it can help the incremental distribution network access more green energy. By incorporating energy storage and photovoltaics into the incremental distribution network, a photovoltaic-energy storage new energy complementary system is formed within the incremental distribution network. The charging and discharging capacity of energy storage is fully utilized, which is of great significance for peak shaving and valley filling, increasing the proportion of new energy consumption and emergency power supply.

[0069] The data classification module is used to classify the collected incremental distribution network related data according to real-time operation data, power generation information and collected load demand data.

[0070] Data analysis modules, including

[0071] The model building module is used to collect historical load data of the incremental distribution network, typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network, and build energy storage control and photovoltaic access models based on the collected data.

[0072] Photovoltaic analysis module, used to collect photovoltaic data of the day and analyze the time period with the lowest photovoltaic output;

[0073] The photovoltaic prediction module is used to predict the photovoltaic output of the next day based on the photovoltaic data collected on the day.

[0074] Model building module, specifically including:

[0075] Collect historical operating data of the incremental distribution network, as well as typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network; operating data includes reactive power, voltage, frequency and power angle data of the incremental distribution network;

[0076] Clean the collected incremental distribution network load data, remove outliers and missing data, and perform smoothing and detrending preprocessing;

[0077] Taking the maximum photovoltaic access capacity and the lowest risk of the incremental distribution network as the objective function, the historical daily photovoltaic output and the photovoltaic access capacity of the incremental distribution network as constraints, and combining the processed load data of the incremental distribution network, a storage photovoltaic access model for the incremental distribution network is constructed.

[0078] Security Assessment Module, including

[0079] A risk assessment module is used to analyze and assess the risk of the incremental distribution network after energy storage is connected based on the acquired incremental distribution network operation data;

[0080] The judgment module is used to judge the risk level of the incremental distribution network operation status after the energy storage is connected based on the evaluation results of the risk assessment module.

[0081] The judgment process of the judgment module specifically includes:

[0082] Risk assessment levels are divided based on the incremental distribution network risk value after energy storage integration:

[0083] When the power quality harmonics of the incremental distribution network after energy storage is connected do not meet the requirements, the current risk assessment level is judged to be level one risk;

[0084] When the power quality harmonics of the incremental distribution network after energy storage integration do not meet the requirements and the grid dispatch needs to reduce active power, the current risk assessment level is judged to be level 2 risk;

[0085] Control module, including:

[0086] A strategy customization module is used to formulate a source-grid-load-storage coordinated control strategy that conforms to the status of the incremental distribution network based on the risk level of the incremental distribution network after energy storage is connected;

[0087] The charging and discharging module is used to charge and discharge the energy storage according to the source-grid-load-storage control strategy within the allowable limit of the incremental distribution network;

[0088] The strategy adjustment module is used to monitor the status of photovoltaic output and energy storage in real time during the strategy control process, and make corresponding adjustments to the source-grid-load-storage coordinated control strategy based on the status of photovoltaic output and energy storage.

[0089] The control process of the control module specifically includes:

[0090] During the period of minimum PV output on the day, combined with the predicted PV output for the next day, the energy storage is charged and discharged according to the source-grid-load-storage control strategy of the incremental distribution network, within the allowable limits of the incremental distribution network.

[0091] The system is preset to a charging or discharging state that meets the maximum demand of the next day and then stops, so as to meet the load demand and the maximum demand for new energy consumption;

[0092] When the main transformer or line is overloaded or the photovoltaic power generation exceeds expectations, the energy storage and photovoltaic output are controlled in real time to ensure the safety of the equipment and to absorb new energy as much as possible. According to the photovoltaic output and photovoltaic forecast data, the source-grid-load-storage control strategy is used to coordinate and control the energy storage charging and discharging status in real time to achieve peak shaving and valley filling, prevent the main transformer and line from exceeding the limit, increase the access of new energy, and achieve the goal of fully absorbing new energy.

[0093] Policy customization module, including:

[0094] When the risk assessment level is judged to be level one, priority is given to controlling the incremental distribution network harmonics;

[0095] When the risk assessment level is judged to be level 2 risk, the unbalanced power of the power difference between the current photovoltaic output of the incremental distribution network and the load demand is obtained;

[0096] Based on the unbalanced power, the active power value that needs to be adjusted is calculated, and the controllable load power supply is preferentially cut off. Then, the source, grid, load and storage coordinated control is carried out in the order of energy storage and photovoltaic power generation.

[0097] The calculation formula for the photovoltaic output on that day is:

[0098]

[0099] Among them, L i is the rated power of the photovoltaic power source of the incremental distribution network, a t is the power temperature coefficient of the photovoltaic panels of the incremental distribution network, t is the temperature of the photovoltaic panels during the operation of the incremental distribution network, and R(α, m, d, h) represents the hourly average surface solar irradiance at h hour on the same day of the month in the region where the incremental distribution network is located at latitude α. When the L value is the smallest, the value of h is the period of minimum photovoltaic output on that day.

[0100] Based on the above embodiment, the incremental distribution network source-grid-load-storage coordinated control system further includes:

[0101] Environmental monitoring module, used to monitor the environmental data of incremental distribution network operation in real time, including ambient temperature, ambient humidity and sunshine intensity;

[0102] The environmental impact module is used to build an environmental impact prediction model for each device in the monitored incremental distribution network based on a convolutional neural network. The model is trained using a training set, validation set, and test set selected from the historical operating data and historical environmental data of the monitored incremental distribution network. The trained environmental impact prediction model for each device is used to predict the environmental impact of the corresponding device during operation.

[0103] A fault-tolerance mechanism module is used to determine the type of fault risk and implement equipment detection and adjustment when the environmental impact prediction model predicts the environmental impact of the running equipment, and to identify and repair errors in data or operations;

[0104] The redundancy switching module is used to determine the switching control of relevant key components with redundant configuration according to the prediction of the corresponding environmental impact prediction model. That is, if it is predicted that there is a state risk of the currently running key component, it will switch to enabling the redundant key component to ensure the continuous operation of the system.

[0105] This solution sets up an environmental monitoring module to monitor the environmental data of the incremental distribution network in real time, including data such as ambient temperature, ambient humidity and sunshine intensity. Based on the real-time environmental data, the constructed environmental impact prediction model is used in the environmental impact module to predict the environmental impact of equipment operation. According to the failure risk of the prediction results, equipment detection and adjustment are implemented to identify and repair errors in data or operations. In addition, for key components with redundant configurations, if it is predicted that there is a state risk of the currently operating key components, the redundant key components are switched to enable to ensure the continuous operation of the system. The adoption of this solution enables the incremental distribution network to have a certain degree of fault tolerance and self-repair capability based on monitoring, thereby enhancing the robustness of the system, improving the system reliability, and reducing the failure rate and operation and maintenance costs.

[0106] Based on the above embodiment, the fault tolerance mechanism module includes:

[0107] The fault risk function construction submodule is used to construct the probability density function of the fault state of the corresponding equipment based on the correlation between the operating status of each equipment under investigation and the environmental data in the incremental distribution network;

[0108] The fault-tolerance and repair evaluation submodule is used to calculate the reliability index of environmental impact prediction using the following formula:

[0109]

[0110] Among them, τ is the reliability index of environmental impact prediction, m is the set of equipment included in the incremental distribution network, t i The time required to repair the i-th device, Rf(t i ) is the probability density function of the i-th device being in a fault state at time t, T r0 It is the preset equipment repair time threshold;

[0111] The fault tolerance warning submodule is used to compare the reliability index of the environmental impact prediction calculated by the fault tolerance repair assessment submodule with the index threshold. If the reliability index is less than the index threshold, a fault tolerance warning message is output.

[0112] Based on the correlation between the equipment operating status and environmental data, this solution constructs a probability density function for the corresponding equipment failure state. Based on the correlation between equipment repair and failure state, a reliability index calculation formula for environmental impact prediction is constructed. The calculation results of the reliability index calculation formula are combined with the set index threshold to evaluate the fault-tolerant self-repair situation. If the reliability index is less than the index threshold, it means that the fault-tolerant self-repair is difficult and there is a possibility that manual troubleshooting is required. Therefore, a fault-tolerant warning message is output so that relevant operation and maintenance personnel can intervene in time and take measures to better ensure the continuity and stability of system operation.

[0113] Working principle: When using the incremental distribution network source-grid-load-storage coordinated control system, according to Figure 1 and Figure 2 , including the following steps:

[0114] Step 1: Acquire real-time operation data, power generation information, and collected load demand data of the incremental distribution network, and divide the acquired data into real-time operation data, power generation information, and collected load demand data;

[0115] Step 2: Collect historical load data on the incremental distribution network, typical daily PV output, and PV access capacity of the incremental distribution network, and build an energy storage control and PV access model based on the collected data;

[0116] Step 3: The classified data is input into the energy storage control and photovoltaic access models according to their types. The energy storage control and photovoltaic access models analyze the stability characteristics of the incremental distribution network.

[0117] Step 4: Collect the photovoltaic data of the day, analyze the time period with the lowest photovoltaic output, and predict the photovoltaic output of the next day based on the photovoltaic data collected on the day;

[0118] Step 5: Analyze and evaluate the risk of the incremental distribution network after energy storage integration based on the acquired incremental distribution network operation data. Based on the results of the risk assessment module, determine the operational risk level of the incremental distribution network after energy storage integration.

[0119] Step 6: Based on the risk level of the incremental distribution network after the energy storage is connected, a source-grid-load-storage coordination control strategy that conforms to the current status of the incremental distribution network is formulated. The corresponding source-grid-load-storage coordination control strategy is selected based on the photovoltaic data of the day and the predicted photovoltaic output of the next day.

[0120] In summary, the incremental distribution network source-grid-load-storage coordinated control system of the present invention, by building an energy storage control and photovoltaic access model, can analyze the safe and stable operation characteristics of the incremental distribution network after energy storage access, and can formulate the optimal coordination plan of photovoltaics and energy storage based on the analysis results, and the grid-load-storage control strategy based on the photovoltaic output and the photovoltaic prediction data source, while meeting real-time adjustment, ensuring full utilization of photovoltaic power generation under the premise of meeting safe and stable operation, achieving maximum economic benefits, optimizing the photovoltaic grid-connected safety and stability control strategy, ensuring safe and stable operation of the power grid, avoiding the occurrence of power flow back to the main grid or main transformer and line overload, forming a photovoltaic-energy storage new energy complementary system within the incremental distribution network, and making full use of the charging and discharging capacity of energy storage, which is of great significance for peak shaving and valley filling, increasing the proportion of new energy consumption and emergency power supply.

[0121] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0122] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. An incremental distribution network source-grid-load-storage coordinated control system, characterized by: include: The data acquisition module is used to obtain real-time operation data of the incremental distribution network, power generation information, and load demand data, and classify the acquired data; The data analysis module is used to establish energy storage control and photovoltaic access models and input the classified data into the energy storage control and photovoltaic access models according to their types. The energy storage control and photovoltaic access models analyze the stability characteristics of the incremental distribution network. A safety assessment module is used to analyze and assess the risk value of the incremental distribution network after energy storage is connected based on the acquired incremental distribution network operation data, and to determine the risk level of the incremental distribution network operation status after energy storage is connected based on the assessment results of the risk assessment module; The control module is used to formulate a source-grid-load-storage coordination control strategy that conforms to the status of the incremental distribution network based on the risk level of the incremental distribution network after energy storage is connected, and to perform corresponding regulation according to the source-grid-load-storage control strategy; Environmental monitoring module, used to monitor the environmental data of incremental distribution network operation in real time, including ambient temperature, ambient humidity and sunshine intensity; The environmental impact module is used to build an environmental impact prediction model for each device in the monitored incremental distribution network based on a convolutional neural network. The model is trained using a training set, validation set, and test set selected from the historical operating data and historical environmental data of the monitored incremental distribution network. The trained environmental impact prediction model for each device is used to predict the environmental impact of the corresponding device during operation. A fault-tolerance mechanism module is used to determine the type of fault risk and implement equipment detection and adjustment when the environmental impact prediction model predicts the environmental impact of the running equipment, and to identify and repair errors in data or operations; The fault tolerance mechanism module includes: The fault risk function construction submodule is used to construct the probability density function of the fault state of the corresponding equipment based on the correlation between the operating status of each equipment under investigation and the environmental data in the incremental distribution network; The fault-tolerance and repair evaluation submodule is used to calculate the reliability index of environmental impact prediction using the following formula: in, is the reliability index of environmental impact prediction, This is the set of equipment included in the incremental distribution network. For the The time required to repair a device, For the The probability density function of a device being in a fault state at time t is, It is the preset equipment repair time threshold; The fault tolerance warning submodule is used to compare the reliability index of the environmental impact prediction calculated by the fault tolerance repair assessment submodule with the index threshold, and output a fault tolerance warning message if the reliability index is less than the index threshold; The redundancy switching module is used to determine the switching control of relevant key components with redundant configuration according to the prediction of the corresponding environmental impact prediction model. That is, if it is predicted that there is a state risk of the currently running key component, it will switch to enabling the redundant key component to ensure the continuous operation of the system.

2. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1, characterized in that: The data acquisition module includes A data acquisition module is used to collect relevant data of the incremental distribution network and transmit the collected relevant data to the data classification module; The data classification module is used to classify the collected incremental distribution network related data according to real-time operation data, power generation information and collected load demand data.

3. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1, characterized in that: The data analysis module includes The model building module is used to collect historical load data of the incremental distribution network, typical daily photovoltaic output, and photovoltaic access capacity of the incremental distribution network, and build energy storage control and photovoltaic access models based on the collected data; Photovoltaic analysis module, used to collect photovoltaic data of the day and analyze the time period with the lowest photovoltaic output; The photovoltaic prediction module is used to predict the photovoltaic output of the next day based on the photovoltaic data collected on the current day; The model building module specifically includes: Collect historical operating data of the incremental distribution network, as well as typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network; operating data includes reactive power, voltage, frequency and power angle data of the incremental distribution network; Clean the collected incremental distribution network load data, remove outliers and missing data, and perform smoothing and detrending preprocessing; Taking the maximum photovoltaic access capacity and the lowest risk of the incremental distribution network as the objective function, the historical daily photovoltaic output and the photovoltaic access capacity of the incremental distribution network as constraints, and combining the processed load data of the incremental distribution network, a storage photovoltaic access model for the incremental distribution network is constructed.

4. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1, characterized in that: The safety assessment module includes: A risk assessment module is used to analyze and assess the risk of the incremental distribution network after energy storage is connected based on the acquired incremental distribution network operation data; A judgment module, used to determine the risk level of the incremental distribution network operation status after energy storage is connected, based on the evaluation results of the risk assessment module; The judgment process of the judgment module specifically includes: Risk assessment levels are divided based on the incremental distribution network risk value after energy storage integration: When the power quality harmonics of the incremental distribution network after energy storage is connected do not meet the requirements, the current risk assessment level is judged to be level one risk; When the power quality harmonics of the incremental distribution network after energy storage is connected do not meet the requirements and the grid dispatch needs to reduce active power, the current risk assessment level is judged to be a level 2 risk.

5. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1, characterized in that: The control module includes: A strategy customization module is used to formulate a source-grid-load-storage coordinated control strategy that conforms to the status of the incremental distribution network based on the risk level of the incremental distribution network after energy storage is connected; The charging and discharging module is used to charge and discharge the energy storage according to the source-grid-load-storage control strategy within the allowable limit of the incremental distribution network; The strategy adjustment module is used to monitor the status of photovoltaic output and energy storage in real time during the strategy control process, and make corresponding adjustments to the source-grid-load-storage coordinated control strategy based on the status of photovoltaic output and energy storage.

6. The incremental distribution network source-grid-load-storage coordinated control system according to claim 5, characterized in that: The control process of the control module specifically includes: During the period of minimum PV output on the day, combined with the predicted PV output for the next day, the energy storage is charged and discharged according to the source-grid-load-storage control strategy of the incremental distribution network, within the allowable limits of the incremental distribution network. The device stops after being preset to a charging or discharging state that meets the maximum demand of the next day; When the main transformer or line is overloaded or the photovoltaic power generation exceeds expectations, the energy storage and photovoltaic output are controlled in real time.

7. The incremental distribution network source-grid-load-storage coordinated control system according to claim 5, characterized in that: The policy customization module specifically includes: When the risk assessment level is judged to be level one, priority is given to controlling the incremental distribution network harmonics; When the risk assessment level is judged to be level 2 risk, the unbalanced power of the power difference between the current photovoltaic output of the incremental distribution network and the load demand is obtained; Based on the unbalanced power, the active power value that needs to be adjusted is calculated, and the controllable load power supply is cut off first. Then, the source, grid, load and storage coordinated control is carried out in the order of energy storage and photovoltaic power generation.

8. The incremental distribution network source-grid-load-storage coordinated control system according to claim 6, characterized in that: The calculation formula for the photovoltaic output on that day is: in, is the rated power of the photovoltaic power source of the incremental distribution network, is the power temperature coefficient of the photovoltaic panel of the incremental distribution network, t is the temperature of the photovoltaic panel in the incremental distribution network, K Indicates latitude The hourly average solar irradiance of the surface at hh in the area where the incremental distribution network is located is When the value is the smallest, the value of h is the period with the minimum photovoltaic output on that day.

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