Incremental power distribution network source network load storage coordination control system

Abstract

The invention discloses a source-network load-storage coordinated control system for an incremental power distribution network, and belongs to the technical field of source-network load-storage coordinated control. The incremental power distribution network source network load storage coordination control system comprises a data acquisition module, a data analysis module, a safety evaluation module and a control module. The method solves the problems that in the prior art, power generation of the incremental power distribution network is achieved by connecting a gas turbine and a generator set, energy waste is easily caused, and the risk of overload is also easily caused, the safe and stable operation characteristics of the incremental power distribution network after energy storage connection can be analyzed, and the safety and reliability of the incremental power distribution network are improved. On the premise that safe and stable operation is met, full utilization of photovoltaic power generation is ensured, economic benefit maximization is achieved, safe and stable operation of a power grid is guaranteed, the situations that power flow is reversely sent to a main grid or a main transformer and a line is overloaded are avoided, and the charging and discharging capacity of energy storage is fully utilized; the method is of great significance in peak load shifting, new energy consumption ratio improvement and emergency power supply guarantee.

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 power grid of 110 kV and below and the local power grid of 220 (330) kV and below, such as industrial park economic development zone. The multi-dimensional interaction of "source-grid-load" in the incremental distribution network has changed the previous passive and deterministic operation mode of the distribution network, and has posed 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] A Chinese patent with 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 at the same time, according to the cost structure of the incremental distribution network in operation, establishes an operation control target with the minimum operation cost, and establishes constraints to establish an optimization control model for the incremental distribution network. The distribution network operation control objective function and constraints are established to establish an optimization 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, and the optimal control power of the incremental distribution network and the optimal control power of the medium- and low-voltage distribution network are obtained, which solves the problem of safe and stable energy transactions between multiple incremental distribution networks and medium- and low-voltage distribution networks, and achieves the economic benefits of the operating entity while 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 the risk of overload; therefore, it does not meet the existing needs. In this regard, 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 the energy storage is connected, ensure the full utilization of photovoltaic power generation under the premise of meeting the safe and stable operation, realize the maximization of 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 reverse transmission 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 make full use of the charging and discharging capacity of the 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-mentioned background technology.

[0006] To achieve the above object, 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 the 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 an energy storage control and photovoltaic access model, and input the classified data into the energy storage control and photovoltaic access model according to the type. The energy storage control and photovoltaic access model analyzes 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 the 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 the 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 coordination 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 based on the source-grid-load-storage control strategy.

[0011] Preferably, the data acquisition module comprises

[0012] The data acquisition module is used to collect the relevant data of the 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 comprises

[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 on that day;

[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 operation data of the incremental distribution network, typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network; the operation 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 comprises

[0023] A risk assessment module is used to analyze and assess the risk value of the incremental distribution network after the 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 according to the evaluation results of the risk assessment module.

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

[0026] The risk assessment level is divided according to the risk value of the incremental distribution network after energy storage is connected:

[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 as level one risk;

[0028] 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 level 2 risk;

[0029] Preferably, the control module comprises:

[0030] The strategy customization module is used to formulate a source-grid-load-storage coordination control strategy that conforms to the status quo 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;

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

[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 according to 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 photovoltaic output on the day, combined with the predicted photovoltaic output of the next day, the energy storage is charged and discharged within the limit allowed by the incremental distribution network according to the source-grid-load-storage control strategy 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 as level one risk, priority is given to controlling the harmonics of the incremental distribution network;

[0039] When the risk assessment level is judged as a secondary 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] According to the unbalanced power, the active power value that needs to be adjusted is calculated, and the controllable load power supply is cut off first, and 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 in 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 in the operation of the incremental distribution network, and R(α, m, d, h) represents the hourly average surface solar irradiance at h on the same day of the month in the area where the incremental distribution network with latitude α is located. 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 environmental impact prediction models for each device of the monitoring incremental distribution network based on a convolutional neural network, and complete the training through the training set, verification set and test set selected from the historical operation data and historical environmental data of the monitoring incremental distribution network, and use the trained environmental impact prediction models of each device for the environmental impact prediction of the corresponding device during operation;

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

[0048] The redundant switching module is used to determine the relevant key component switching control for 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 according to the correlation between the operating status of each equipment under investigation and the environmental data in the incremental distribution network;

[0051] The fault-tolerance 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, and t i is 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-tolerant warning submodule is used to compare the reliability index of the environmental impact prediction calculated by the fault-tolerant repair assessment submodule with the index threshold, and output the fault-tolerant warning information if the reliability index is less than the index threshold.

[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 according to the analysis results, ensure full utilization of photovoltaic power generation under the premise of safe and stable operation, maximize economic benefits, optimize the photovoltaic grid-connected safety and stability control strategy, ensure safe and stable operation of the power grid, avoid the occurrence of power flow reverse transmission 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 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. 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 a working flow chart of the incremental distribution network source-grid-load-storage coordinated control system of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0060] In order to solve the problem that the existing incremental distribution network power generation 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 the real-time operation 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 the coordinated control of the source, grid, load and storage of the incremental distribution network, thus ensuring the stability of the operation of the incremental distribution network;

[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 model according to the type. The energy storage control and photovoltaic access model analyzes 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 full utilization of photovoltaic power generation and avoiding energy waste under the premise of ensuring safe and stable operation;

[0064] The safety assessment module is used to analyze and evaluate the risk value of the incremental distribution network after the energy storage is connected based on the acquired incremental distribution network operation data, and 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. Based on the analysis results, the optimal coordination plan of photovoltaic and energy storage can be formulated to ensure the safe and stable operation of the power grid and avoid the occurrence of power flow reverse transmission to the main grid or main transformer and line overload.

[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 according to the risk level judgment result 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. It can preset the energy storage charging and discharging plan in advance according to the photovoltaic load forecast data, and meet the real-time adjustment at the same time. According to the photovoltaic output and the status of energy storage, the source-grid-load-storage coordinated control strategy is adjusted accordingly to optimize 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 energy storage control and photovoltaic access models, it is possible to not only analyze the safe and stable operation characteristics of the incremental distribution network after energy storage access, but also 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 the photovoltaic load forecast data, and meet the real-time adjustment requirements at the same time. It ensures that photovoltaic power generation is fully utilized under the premise of safe and stable operation, maximizes economic benefits, optimizes the safe and stable control strategy of photovoltaic grid connection, ensures safe and stable operation of the power grid, and avoids the occurrence of power flow reverse transmission 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 to 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 include

[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 on that day;

[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, including:

[0075] Collect historical operation data of the incremental distribution network, typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network; the operation 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] Safety assessment modules, including

[0079] A risk assessment module is used to analyze and assess the risk value of the incremental distribution network after the 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 according to the evaluation results of the risk assessment module.

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

[0082] The risk assessment level is divided according to the risk value of the incremental distribution network after energy storage is connected:

[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 as level one risk;

[0084] 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 level 2 risk;

[0085] Control module, including:

[0086] The strategy customization module is used to formulate a source-grid-load-storage coordination control strategy that conforms to the status quo 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;

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

[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 according to the status of photovoltaic output and energy storage.

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

[0090] During the period of minimum photovoltaic output on the day, combined with the predicted photovoltaic output of the next day, the energy storage is charged and discharged within the limit allowed by the incremental distribution network according to the source-grid-load-storage control strategy of the incremental distribution network;

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

[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 maximize the absorption of new energy. 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] Strategy customization module, including:

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

[0095] When the risk assessment level is judged as a secondary 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] According to the unbalanced power, the active power value that needs to be adjusted is calculated, and the controllable load power supply is cut off first, and then the source-grid-load-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 in 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 in the operation of the incremental distribution network, and R(α, m, d, h) represents the hourly average surface solar irradiance at h on the same day of the month in the area where the incremental distribution network with latitude α is located. 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-mentioned 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 environmental impact prediction models for each device of the monitoring incremental distribution network based on a convolutional neural network, and complete the training through the training set, verification set and test set selected from the historical operation data and historical environmental data of the monitoring incremental distribution network, and use the trained environmental impact prediction models of each device for the environmental impact prediction of the corresponding device during operation;

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

[0104] The redundant switching module is used to determine the relevant key component switching control for 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. According to 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 configuration, if it is predicted that there is a risk of a state of failure in the currently operating key components, the redundant key components are switched to ensure the continuous operation of the system. The use of this solution enables the incremental distribution network to have a certain degree of fault tolerance and self-repair capability on the basis of 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 according to the correlation between the operating status of each equipment under investigation and the environmental data in the incremental distribution network;

[0108] The fault-tolerance 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, and t i is 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-tolerant warning submodule is used to compare the reliability index of the environmental impact prediction calculated by the fault-tolerant repair assessment submodule with the index threshold, and output the fault-tolerant warning information if the reliability index is less than the index threshold.

[0112] Based on the correlation between the equipment operation status and environmental data, this solution constructs the probability density function of the corresponding equipment failure status. Based on the correlation between equipment repair and failure status, a reliability index calculation formula for environmental impact prediction is constructed. The calculation result of the reliability index calculation formula is 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, fault-tolerant warning information 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 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;

[0116] Step 3: Input the classified data into the energy storage control and photovoltaic access model according to the type, and the energy storage control and photovoltaic access model analyzes 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 value of the incremental distribution network after the energy storage is connected based on the acquired incremental distribution network operation data, and 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;

[0119] Step 6: Based on the risk level judgment results of the incremental distribution network operation status 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, and the corresponding source-grid-load-storage coordination control strategy is selected based on the photovoltaic data of the day and the predicted photovoltaic output size 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 photovoltaic and energy storage according to the analysis results, and the grid-load-storage control strategy is utilized according to the photovoltaic output and the photovoltaic prediction data source, while meeting real-time adjustment, ensuring full utilization of photovoltaic power generation and maximizing economic benefits under the premise of meeting safe and stable operation, optimizing the photovoltaic grid-connected safe and stable control strategy, ensuring safe and stable operation of the power grid, avoiding the occurrence of power flow reverse transmission 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 article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

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

Claims

1. Incremental distribution network source-grid-load-storage coordinated control system, characterized by: include: The data acquisition module is used to obtain the 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 an energy storage control and photovoltaic access model, and input the classified data into the energy storage control and photovoltaic access model according to the type. The energy storage control and photovoltaic access model analyzes 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 the 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 the 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 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 based on the source-grid-load-storage control strategy.

2. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1 is characterized in that: The data acquisition module comprises A data acquisition module, used for collecting relevant data of the incremental distribution network and transmitting 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 is 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 on that day; The photovoltaic prediction module is used to predict the photovoltaic output of the next day based on the photovoltaic data collected on the day; The model building module specifically includes: Collect historical operation data of the incremental distribution network, typical daily photovoltaic output and photovoltaic access capacity of the incremental distribution network; the operation 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 is characterized in that: The safety assessment module comprises: A risk assessment module is used to analyze and assess the risk value of the incremental distribution network after the energy storage is connected based on the acquired incremental distribution network operation data; A judgment module is used to judge the risk level of the incremental distribution network operation status after the energy storage is connected according to the evaluation results of the risk assessment module; The judgment process of the judgment module specifically includes: The risk assessment level is divided according to the risk value of the incremental distribution network after energy storage is connected: 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 as 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 secondary risk.

5. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1 is characterized in that: The control module comprises: The strategy customization module is used to formulate a source-grid-load-storage coordination control strategy that conforms to the status quo 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; The charging and discharging module is used to charge and discharge the energy storage within the limit allowable range of the incremental distribution network according to the source-grid-load-storage control strategy; 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 according to the status of photovoltaic output and energy storage.

6. The incremental distribution network source-grid-load-storage coordinated control system according to claim 5 is characterized in that: The control process of the control module specifically includes: During the period of minimum photovoltaic output on the day, combined with the predicted photovoltaic output of the next day, the energy storage is charged and discharged within the limit allowed by the incremental distribution network according to the source-grid-load-storage control strategy of the incremental distribution network; Preset to a charging or discharging state that meets the maximum requirement of the next day and then stop; 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 is characterized in that: The policy customization module specifically includes: When the risk assessment level is judged as level one, the harmonics of the incremental distribution network are given priority; When the risk assessment level is judged as a secondary risk, the unbalanced power of the power difference between the current photovoltaic output of the incremental distribution network and the load demand is obtained; According to the unbalanced power, the active power value that needs to be adjusted is calculated, and the controllable load power supply is cut off first, and 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 is characterized by: The calculation formula for the photovoltaic output on that day is: Among them, L i is the rated power of the photovoltaic power source in 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 in the operation of the incremental distribution network, and R(α, m, d, h) represents the hourly average surface solar irradiance at h on the same day of the month in the area where the incremental distribution network with latitude α is located. When the L value is the smallest, the value of h is the period of minimum photovoltaic output on that day.

9. The incremental distribution network source-grid-load-storage coordinated control system according to claim 1, characterized in that: Also includes: 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 environmental impact prediction models for each device of the monitoring incremental distribution network based on a convolutional neural network, and complete the training through the training set, verification set and test set selected from the historical operation data and historical environmental data of the monitoring incremental distribution network, and use the trained environmental impact prediction models of each device for the environmental impact prediction of the corresponding device during operation; A fault-tolerant mechanism module is used to determine the type of fault risk and implement equipment detection and adjustment, and identify and repair errors in data or operations when there is a risk of fault in the environmental impact prediction results of the environmental impact prediction model for the running equipment; The redundant switching module is used to determine the relevant key component switching control for 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.

10. The incremental distribution network source-grid-load-storage coordinated control system according to claim 9, characterized in that: 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 according to the correlation between the operating status of each equipment under investigation and the environmental data in the incremental distribution network; The fault-tolerance repair evaluation submodule is used to calculate the reliability index of environmental impact prediction using the following formula: Among them, τ is the reliability index of environmental impact prediction, m is the set of equipment included in the incremental distribution network, and t i is 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; The fault-tolerant warning submodule is used to compare the reliability index of the environmental impact prediction calculated by the fault-tolerant repair assessment submodule with the index threshold, and output the fault-tolerant warning information if the reliability index is less than the index threshold.

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