Energy storage charging and discharging strategy method based on sensitivity optimization

Abstract

The application provides a sensitivity-based energy storage charging and discharging strategy method, and relates to the technical field of power system energy storage, which comprises the following steps: obtaining current section flow data and current section flow limit value, and judging whether there is a current overload / limit-exceeding section according to a preset overload / limit-exceeding standard; receiving an energy storage charging and discharging request, obtaining energy storage section sensitivity, and determining whether to allow energy storage charging and discharging operation in combination with the judgment result; if energy storage charging and discharging operation is allowed, calculating the maximum charging and discharging power; constructing a short-term load prediction model to determine predicted section flow data; constructing an energy storage charging and discharging strategy to calculate the predicted section flow change amount, and then obtaining simulated section flow data in combination with the predicted section flow data; judging whether there is a future overload / limit-exceeding section again according to the preset overload / limit-exceeding standard, and adjusting the energy storage charging and discharging strategy, so that the real-time performance and adaptability of energy storage charging and discharging can be improved, the energy storage utilization efficiency can be improved, and the safe operation of the power grid can be ensured.

Description

Technical Field

[0001] This invention relates to the field of power system energy storage technology, and in particular to a method for optimizing energy storage charging and discharging strategies based on sensitivity. Background Technology

[0002] Currently, when arranging energy storage charging and discharging plans, it is necessary to consider their impact on the power flow of the lines and main transformers in order to avoid aggravating the power flow exceeding limits of the main transformers or lines during the charging and discharging process.

[0003] Currently, the scheduling of energy storage charging and discharging plans often relies on the dispatcher's understanding of the power grid's operational status. However, during grid operation, power flow changes are constrained by various factors, and the computational workload of power flow calculations increases exponentially with changes in the grid structure and its complexity. Manual calculations are not only labor-intensive but also time-consuming. Under this model, dispatchers cannot determine whether the current energy storage charging and discharging plan will exacerbate the problem of sections exceeding limits or lead to the emergence of new sections exceeding limits, nor can they determine the maximum power of the current energy storage charging and discharging. Furthermore, dispatchers can only optimize the energy storage charging and discharging time based on the current section and power flow conditions; when changes occur in the grid within the next four hours, they cannot adjust the energy storage charging and discharging plan in a timely manner.

[0004] Therefore, it is necessary to provide a sensitivity-optimized energy storage charging and discharging strategy method to solve the above-mentioned technical problems. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a sensitivity-optimized energy storage charging and discharging strategy method, which solves the problems of current energy storage charging and discharging plans relying on manual scheduling, lacking real-time performance, having poor dynamic adaptability, high computational complexity, and low efficiency.

[0006] This invention provides a sensitivity-optimized energy storage charging and discharging strategy method, the method comprising:

[0007] Obtain the current cross-sectional power flow data and current cross-sectional power flow limit, and determine whether there is a current overload / overload cross-section based on the preset overload / overload standard;

[0008] Receive energy storage charging and discharging requests, obtain energy storage section sensitivity, and combine the judgment results of the current overload / over-limit section to determine whether energy storage charging and discharging operations are allowed;

[0009] If energy storage charging and discharging operations are permitted, the maximum energy storage charging and discharging power is calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit.

[0010] Construct a short-term load forecasting model and determine the predicted cross-sectional load data based on the current cross-sectional load data;

[0011] Based on the maximum power of energy storage charging and discharging, an energy storage charging and discharging strategy is constructed and the predicted cross-sectional power flow change is calculated. The simulated cross-sectional power flow data is obtained by combining the predicted cross-sectional power flow data.

[0012] Based on the simulated cross-sectional power flow data, the existence of future heavy-load / over-limit cross-sections is determined according to the preset heavy-load / over-limit criteria, and the energy storage charging and discharging strategy is adjusted accordingly.

[0013] Preferably, the step of acquiring the current cross-sectional power flow data and the current cross-sectional power flow limit, and determining whether there is a current overload / overload cross-section based on the preset overload / overload standard, specifically includes:

[0014] Based on the data acquisition and monitoring control system, the current cross-sectional power flow data and the current cross-sectional power flow limit are collected in real time;

[0015] Based on the preset overload / over-limit standard, the existence of the current overload / over-limit section is determined according to the current cross-sectional power flow data and the current cross-sectional power flow limit. The corresponding calculation formula is as follows:

[0016] In the formula, PDJG represents the judgment result of the current overload / over-limit section; This indicates the current cross-sectional power flow data; This indicates the current cross-sectional power flow limit.

[0017] Preferably, the step of receiving the energy storage charging / discharging request, obtaining the energy storage section sensitivity, and combining it with the judgment result of the current overload / over-limit section to determine whether to allow the energy storage charging / discharging operation specifically includes:

[0018] Upon receiving the energy storage charging and discharging request, the system collects the current cross-sectional power flow change and the current energy storage power change, and calculates the energy storage cross-sectional sensitivity as follows:

[0019] In the formula, MGD represents the energy storage section sensitivity; This indicates the current change in tidal current at the cross-section; This indicates the current change in energy storage capacity;

[0020] If the energy storage section sensitivity MGD of the current overload / overlimit section in the charging state is ≥0, then the energy storage charging operation is allowed; otherwise, the energy storage charging operation is prohibited.

[0021] If the energy storage section sensitivity MGD of the current overload / overlimit section under the discharge state is ≤0, then the energy storage discharge operation is allowed; otherwise, the energy storage discharge operation is prohibited.

[0022] Preferably, the cross-section ID, the corresponding energy storage cross-section sensitivity, the current cross-section power flow data, the current cross-section power flow limit, and the judgment result of the current overloaded / over-limit cross-section are obtained to establish a cross-section data storage repository.

[0023] Preferably, if energy storage charging and discharging operations are permitted, the maximum energy storage charging and discharging power is calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit, specifically including:

[0024] The formula for calculating the maximum power of energy storage charging during the charging process is as follows:

[0025] In the formula, Indicates the maximum power of energy storage charging; This indicates the operation of taking the minimum value; Indicates the current cross-sectional power flow limit; This indicates the current cross-sectional power flow data; Indicates the current energy storage charging power;

[0026] The formula for calculating the maximum power of energy storage discharge under discharge conditions is as follows:

[0027] In the formula, Indicates the maximum power of energy storage discharge; This indicates the operation of taking the minimum value; Indicates the current cross-sectional power flow limit; This indicates the current cross-sectional power flow data; This indicates the current energy storage discharge power.

[0028] Preferably, the step of constructing a short-term load forecasting model and determining the forecast cross-sectional load data based on the current cross-sectional load data specifically includes:

[0029] Feature extraction is performed on the current cross-sectional power flow data to obtain the corresponding current cross-sectional power flow features;

[0030] The current cross-sectional power flow characteristics are input into the forget gate of the short-term load forecasting model to determine the current cross-sectional power flow characteristics that need to be discarded from the memory unit. The corresponding calculation formula is as follows:

[0031] In the formula, The output of the forget gate at charge / discharge time t is used to determine the current cross-sectional power flow characteristics that need to be discarded from the memory cell; The activation function for the forget gate; Indicates the weight of the forget gate; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; The bias term representing the forget gate;

[0032] Based on the input gate of the short-term load forecasting model, the current cross-sectional power flow characteristics that need to be stored in the memory unit are determined, and the corresponding calculation formula is as follows:

[0033] In the formula, The output of the input gate, representing the charging / discharging time t, is used to determine the current cross-sectional power flow characteristics that need to be stored in the memory cell; This represents the activation function of the input gate; Indicates the weights of the input gates; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; This represents the bias term of the input gate;

[0034] Based on the candidate memory cells of the short-term load forecasting model, the power flow characteristics of candidate sections are determined, and the corresponding calculation formulas are as follows:

[0035] In the formula, Candidate memory cells representing charging / discharging time t are used to determine the power flow characteristics of candidate cross sections; Represents the hyperbolic tangent function; Indicates the weight of the candidate memory unit; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; Bias terms representing candidate memory units;

[0036] The calculation formula for updating the memory unit is as follows:

[0037] In the formula, A memory cell representing the charging / discharging time t; This represents the output of the forget gate at charge / discharge time t; This represents the memory cell representing the previous charge / discharge time t-1; The output of the input gate represents the charging / discharging time t; Candidate memory cells representing charging / discharging time t;

[0038] Based on the output gate of the short-term load forecasting model, the candidate cross-sectional power flow characteristics that need to be output to the hidden state are determined, and the corresponding calculation formula is as follows:

[0039] In the formula, The output of the output gate at charging / discharging time t is used to determine the candidate cross-sectional power flow characteristics that need to be output to the hidden state. This represents the activation function of the output gate; Indicates the weight of the output gate; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; This represents the bias term of the output gate;

[0040] Based on the memory unit at the charging / discharging time t and the output of the output gate, the predicted cross-sectional power flow data is determined, and the corresponding calculation formula is as follows:

[0041] In the formula, This represents the hidden state at charging / discharging time t, i.e., the predicted cross-sectional power flow data. ; Represents the hyperbolic tangent function; The output of the gate represents the charging / discharging time t. A memory cell representing the charging / discharging time t.

[0042] Preferably, the total duration corresponding to the energy storage charging and discharging strategy is discretized according to a preset time interval to obtain an energy storage time series;

[0043] In the energy storage time series, the predicted change in energy storage power at the charging / discharging time t is obtained. Based on the energy storage section sensitivity MGD, the predicted section power flow change at the charging / discharging time t is calculated. ;

[0044] The predicted cross-sectional tidal data With the predicted cross-sectional tidal current change The sum of these is the simulated cross-sectional power flow data. .

[0045] Preferably, based on the simulated cross-sectional power flow data, if it is determined that a future overload / overload section exists according to the preset overload / over-limit criteria, then the predicted change in energy storage power is reduced sequentially. The charging and discharging time t is shifted back until there are no more future overload / over-limit sections, completing the adjustment process of the energy storage charging and discharging strategy and sending the adjusted energy storage charging and discharging strategy to the energy storage management terminal, or the number of strategy adjustments reaches the maximum number of adjustments, and a charging and discharging strategy cancellation command is sent to the energy storage management terminal.

[0046] Compared with related technologies, the sensitivity-optimized energy storage charging and discharging strategy method provided by this invention has the following beneficial effects:

[0047] This invention can acquire current cross-sectional power flow data and current cross-sectional power flow limits, and determine whether a current overloaded / overloaded cross-section exists based on preset overload / overload standards; receive energy storage charging and discharging requests, acquire energy storage cross-sectional sensitivity, and determine whether energy storage charging and discharging operations are permitted based on the judgment results of the current overloaded / overloaded cross-section; if energy storage charging and discharging operations are permitted, calculate the maximum power of energy storage charging and discharging based on the current cross-sectional power flow data and current cross-sectional power flow limits; construct a short-term load forecasting model, and determine the predicted cross-sectional power flow data based on the current cross-sectional power flow data; construct an energy storage charging and discharging strategy based on the maximum power of energy storage charging and discharging, calculate the predicted cross-sectional power flow change, and obtain simulated cross-sectional power flow data based on the predicted cross-sectional power flow data; based on the simulated cross-sectional power flow data, determine whether a future overloaded / overloaded cross-section exists based on preset overload / overload standards, and adjust the energy storage charging and discharging strategy, thereby realizing the safety verification, power optimization, and dynamic adjustment of energy storage charging and discharging, improving the real-time performance and dynamic adaptability of energy storage charging and discharging plans, enhancing energy storage utilization efficiency, and ensuring the safe operation of the power grid.

[0048] This invention can quickly and accurately verify whether energy storage can be charged and discharged under the current operating conditions of the power grid, thereby meeting the safety verification requirements for energy storage charging and discharging and ensuring power grid security. This invention can accurately calculate the maximum charging and discharging power of energy storage, avoiding the impact on power grid stability due to unreasonable charging and discharging power, thus improving energy storage utilization efficiency. This invention can adjust energy storage charging and discharging plans to adapt to future dynamic changes in the power grid, enhancing the flexibility and adaptability of energy storage charging and discharging strategies, and improving the safety and economy of power grid operation. Attached Figure Description

[0049] Figure 1 This is a flowchart of a sensitivity-optimized energy storage charging and discharging strategy method according to the present invention;

[0050] Figure 2 This is a schematic diagram illustrating the cancellation command transmission of the charging / discharging strategy of the present invention. Detailed Implementation

[0051] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0052] like Figure 1 As shown, a sensitivity-optimized energy storage charging and discharging strategy method is proposed, the method comprising:

[0053] Obtain the current cross-sectional power flow data and current cross-sectional power flow limit, and determine whether there is a current overload / overload cross-section based on the preset overload / overload standard;

[0054] In practical applications, it can accurately obtain the power flow data and power flow limits of the current section, and determine whether there is a current overload / over-limit section based on the pre-set overload / over-limit standards, so as to discover potential safety hazards in the power grid operation in a timely manner.

[0055] The current cross-sectional power flow data refers to the real-time power flow data of the current power grid cross-section, specifically including parameters such as active power, reactive power, current, and voltage. This data reflects the actual electrical energy flow at the current cross-section and is a key basis for judging the power grid's operating status and making related decisions.

[0056] For example, at a specific moment, the active power of a certain transmission line section is 50 MW, the reactive power is 20 Mvar, the current is 300 amperes, and the voltage is 110 kV. These data constitute the current power flow data of that section, which makes it easier for grid dispatchers to obtain the grid operation status in a timely manner.

[0057] Furthermore, the current cross-sectional power flow limit refers to the pre-determined maximum power flow value allowed to pass through a cross-section, which is set according to the power grid design specifications, equipment rated capacity, and the requirements for the safe and stable operation of the power grid. It includes indicators such as active power limits and reactive power limits, which are important boundary conditions for ensuring the safe operation of the power grid.

[0058] When setting these limits, it is necessary to comprehensively consider factors such as the thermal stability limit of the line, the insulation performance of the equipment, and the stability of the system. For example, the conductor heating limit of a transmission line determines the maximum current it can carry, which in turn determines the active power limit of that section; while the reactive power limit is closely related to the voltage stability of the system. If the power flow of a section exceeds the limit, it may cause problems such as line overheating, equipment damage, and grid failure.

[0059] It is understandable that preset overload / over-limit standards refer to rules used to determine whether a cross-section is in an overload or over-limit state. The overload standard is set as the cross-section's power flow reaching 90% or more of the limit but not exceeding it; that is, when the power flow at a cross-section is greater than or equal to 90% of the limit but does not exceed it, the cross-section is determined to be in an overload state. The over-limit standard is set as the cross-section's power flow exceeding the limit. Preset overload / over-limit standards are important bases for power grid operation and management, helping dispatchers quickly assess the safety of power grid operation.

[0060] For example, if the active power limit of a certain section is 100 MW, according to the preset overload / over-limit standard, when the active power reaches 90 MW or more but less than 100 MW, the section is in an overload state; if the active power exceeds 100 MW, it is in an over-limit state.

[0061] It should be noted that the current overload / over-limit section refers to the section that is in an overload or over-limit state according to the preset overload / over-limit criteria. If the power flow data of a section meets the overload criteria, it is the current overload section; if the section meets the over-limit criteria, it is the current over-limit section.

[0062] Once a section is found to be under heavy load or exceeding its limits, grid dispatchers need to take timely measures, such as adjusting generation plans, optimizing load allocation, and controlling energy storage charging and discharging, to ensure that the grid returns to a safe operating state and to guarantee the power supply stability of the power system.

[0063] Receive energy storage charging and discharging requests, obtain energy storage section sensitivity, and combine the judgment results of the current overload / over-limit section to determine whether energy storage charging and discharging operations are allowed;

[0064] When a request to charge or discharge energy storage is received, the sensitivity of the energy storage section can be obtained, and combined with the judgment result of the current overload / over-limit section, it can be determined whether the energy storage can be allowed to charge or discharge.

[0065] During the operation of a power system, an energy storage charge / discharge request refers to a charge / discharge command signal sent by an energy storage device to the power grid control center so that it can manage its own energy and cooperate with the operation requirements of the power grid.

[0066] Energy storage cross-sectional sensitivity is used to measure the impact of energy storage charging and discharging behavior on power flow across the power grid. Different energy storage locations and charging / discharging capacities have varying degrees of impact on power flow across the grid, and this impact is quantified using energy storage cross-sectional sensitivity.

[0067] For example, if the transmission lines near a certain energy storage access point are relatively dense, then the energy storage will have a greater impact on the power flow of the surrounding sections when it is charging and discharging, and the corresponding energy storage section sensitivity is high; conversely, if the energy storage is located at the edge of the grid and there are fewer surrounding lines, its charging and discharging will have a relatively smaller impact on the power flow of other sections, and the energy storage section sensitivity is low.

[0068] It should be noted that during energy storage charging operations, the energy storage device absorbs electrical energy from the grid and stores it in the form of chemical energy, etc.; while during energy storage discharging operations, the energy storage device converts the stored energy into electrical energy and injects it into the grid, providing additional power support to the power system. Through energy storage charging and discharging operations, voltage can be regulated and grid power can be balanced, thereby improving power quality.

[0069] If energy storage charging and discharging operations are permitted, the maximum energy storage charging and discharging power is calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit.

[0070] If the assessment results allow the energy storage to charge and discharge, the maximum power of the energy storage to charge and discharge can be accurately calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit, so as to ensure that the energy storage demand is met without causing excessive impact on the power grid.

[0071] It is understandable that the maximum power of energy storage charging and discharging refers to the maximum power that the energy storage device is allowed to reach when charging and discharging. It takes into account both the safety margin of the power grid and the charging and discharging needs of the energy storage device itself, playing a key role in balancing energy storage utilization and stable grid operation, and providing an important power limit basis for the formulation of energy storage charging and discharging strategies.

[0072] Construct a short-term load forecasting model and determine the predicted cross-sectional load data based on the current cross-sectional load data;

[0073] Among them, the predicted cross-sectional power flow data refers to the predicted power data of future power grid sections. Based on the short-term load forecasting model, the predicted cross-sectional power flow data can be determined from the current cross-sectional power flow data. This helps power dispatchers understand the future power flow distribution of the power grid in advance, determine whether there are potential safety hazards, and formulate countermeasures in advance.

[0074] Based on the maximum power of energy storage charging and discharging, an energy storage charging and discharging strategy is constructed and the predicted cross-sectional power flow change is calculated. The simulated cross-sectional power flow data is obtained by combining the predicted cross-sectional power flow data.

[0075] For example, during periods of low load, if the predicted cross-sectional power flow data shows that there is surplus power and the maximum charging power of the energy storage is allowed, the energy storage charging and discharging strategy can arrange for the energy storage to charge and store the excess energy. During periods of high load, when the predicted cross-sectional power flow data indicates that the power supply is tight, the energy storage charging and discharging strategy will arrange for the energy storage to discharge at its maximum discharge power to supplement the grid power. Thus, through reasonable charging and discharging arrangements, the power balance of the grid can be optimized, and the stability and economy of grid operation can be improved.

[0076] The predicted cross-sectional power flow change refers to the change in predicted cross-sectional power flow caused by the charging and discharging operations of energy storage. When energy storage is charging or discharging, it will change the power distribution in the power grid, thereby causing changes in the cross-sectional power flow.

[0077] By superimposing the predicted power flow changes onto the original predicted cross-sectional power flow data, the power flow distribution of the grid cross-section after the energy storage charging and discharging operation can be simulated, taking into account the energy storage charging and discharging operation.

[0078] Based on the simulated cross-sectional power flow data, the existence of future heavy-load / over-limit cross-sections is determined according to the preset heavy-load / over-limit criteria, and the energy storage charging and discharging strategy is adjusted accordingly.

[0079] In practical applications, based on simulated cross-sectional power flow data, the existence of future overload / overload sections can be determined again according to preset overload / over-limit standards. If this situation exists, the energy storage charging and discharging strategy needs to be adjusted accordingly to ensure the safe and stable operation of the power grid in the future.

[0080] Future overload / over-limit sections refer to sections that may experience overload or over-limit situations in the future. If the simulated section power flow data meets the preset overload criteria, the section is determined to be a future overload section; if the simulated section power flow data meets the preset over-limit criteria, the section is determined to be a future over-limit section.

[0081] In the specific implementation process, the acquisition of current cross-sectional power flow data and current cross-sectional power flow limits, and the determination of whether a current overloaded / overloaded cross-section exists based on preset overload / overload standards, specifically includes:

[0082] Based on the data acquisition and monitoring control system, the current cross-sectional power flow data and the current cross-sectional power flow limit are collected in real time;

[0083] Based on the preset overload / over-limit standard, the existence of the current overload / over-limit section is determined according to the current cross-sectional power flow data and the current cross-sectional power flow limit. The corresponding calculation formula is as follows:

[0084] In the formula, PDJG represents the judgment result of the current overload / over-limit section; This indicates the current cross-sectional power flow data; This indicates the current cross-sectional power flow limit.

[0085] In practical applications, based on the data acquisition and monitoring control system, sensors and monitoring equipment distributed at various key locations in the power grid can be used to collect current cross-sectional power flow data and current cross-sectional power flow limits in real time.

[0086] Next, based on pre-set overload / over-limit standards, combined with the collected current cross-sectional power flow data and current cross-sectional power flow limits, it can be determined whether a current overload / over-limit cross-section exists. If the current cross-sectional power flow data is between 0.9 times the current cross-sectional power flow limit and the current cross-sectional power flow limit, the result is that a current overload cross-section exists; if the current cross-sectional power flow data exceeds the current cross-sectional power flow limit, the result is that a current over-limit cross-section exists. Thus, it is possible to accurately determine whether there is an anomaly in the current power grid operating status.

[0087] The process of receiving energy storage charging and discharging requests, acquiring energy storage section sensitivity, and combining the judgment result of the current overload / over-limit section to determine whether to allow energy storage charging and discharging operations specifically includes:

[0088] Upon receiving the energy storage charging and discharging request, the system collects the current cross-sectional power flow change and the current energy storage power change, and calculates the energy storage cross-sectional sensitivity as follows:

[0089] In the formula, MGD represents the energy storage section sensitivity; This indicates the current change in tidal current at the cross-section; This indicates the current change in energy storage power;

[0090] If the energy storage section sensitivity MGD of the current overload / overlimit section in the charging state is ≥0, then the energy storage charging operation is allowed; otherwise, the energy storage charging operation is prohibited.

[0091] If the energy storage section sensitivity MGD of the current overload / overlimit section under the discharge state is ≤0, then the energy storage discharge operation is allowed; otherwise, the energy storage discharge operation is prohibited.

[0092] Upon receiving a request to charge or discharge energy storage, the system can collect the current cross-sectional power flow change and the current energy storage power change, and calculate the energy storage cross-sectional sensitivity.

[0093] Then, based on the judgment result of the current overload / over-limit section and the calculated energy storage section sensitivity, it can be determined whether energy storage charging and discharging operations are allowed. If the energy storage section sensitivity of the current overload / over-limit section under charging state is greater than or equal to 0, it means that energy storage charging will not aggravate the overload or over-limit situation of the current section, and energy storage charging operation is allowed; conversely, if the sensitivity is less than 0, it means that charging may aggravate the section abnormality, and energy storage charging is prohibited.

[0094] If the sensitivity of the energy storage section of the current overload / over-limit section under the discharge state is less than or equal to 0, it indicates that the energy storage discharge will not aggravate the overload or over-limit of the section, and the energy storage discharge operation is allowed at this time; if the sensitivity is greater than 0, it indicates that the discharge may aggravate the section abnormality, and the discharge is prohibited at this time.

[0095] Obtain the section ID and the corresponding energy storage section sensitivity, the current section power flow data, the current section power flow limit, and the judgment result of the current overload / over-limit section, and establish a section data storage repository.

[0096] First, a unique identifier for each cross-section, namely the cross-section ID, can be obtained. Simultaneously, the sensitivity of the energy storage cross-section, the current cross-section power flow data, the current cross-section power flow limit, and the judgment results of the current overloaded / overloaded cross-sections are collected for each cross-section. This information can then be integrated to establish a cross-section data repository, facilitating efficient management and application of grid cross-section data in the future.

[0097] For example, in the cross-section data repository, when the cross-section ID is cross-section 1, the corresponding energy storage cross-section sensitivity, current cross-section power flow data, current cross-section power flow limit, and the judgment results for the current overloaded / overloaded cross-section are as follows: , , , As shown in Table 1.

[0098] Table 1. Information on Section 1 in the Section Data Repository

[0099]

[0100] If energy storage charging and discharging operations are permitted, the maximum energy storage charging and discharging power is calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit, specifically including:

[0101] The formula for calculating the maximum power of energy storage charging during the charging process is as follows:

[0102] In the formula, Indicates the maximum power of energy storage charging; This indicates the operation of finding the minimum value; Indicates the current cross-sectional power flow limit; This indicates the current cross-sectional power flow data; Indicates the current energy storage charging power;

[0103] The formula for calculating the maximum power of energy storage discharge under discharge conditions is as follows:

[0104] In the formula, Indicates the maximum power of energy storage discharge; This indicates the operation of finding the minimum value; Indicates the current cross-sectional power flow limit; This indicates the current cross-sectional power flow data; This indicates the current energy storage discharge power.

[0105] By adopting the above methods, it is possible to avoid the cross-sectional power flow approaching or exceeding the limit due to excessive charging and discharging power, thereby maintaining the power balance of the power grid, improving the grid's ability to accept energy storage charging and discharging, optimizing the application effect of energy storage in the power grid, and realizing the coordinated and stable operation of energy storage and the power grid.

[0106] The construction of the short-term load forecasting model and the determination of the predicted load flow data based on the current cross-sectional load flow data specifically include:

[0107] Feature extraction is performed on the current cross-sectional power flow data to obtain the corresponding current cross-sectional power flow features;

[0108] The current cross-sectional power flow characteristics are input into the forget gate of the short-term load forecasting model to determine the current cross-sectional power flow characteristics that need to be discarded from the memory unit. The corresponding calculation formula is as follows:

[0109] In the formula, The output of the forget gate at charge / discharge time t is used to determine the current cross-sectional power flow characteristics that need to be discarded from the memory cell; Represents the activation function of the forget gate; Indicates the weight of the forget gate; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; The bias term representing the forget gate;

[0110] Based on the input gate of the short-term load forecasting model, the current cross-sectional power flow characteristics that need to be stored in the memory unit are determined, and the corresponding calculation formula is as follows:

[0111] In the formula, The output of the input gate, representing the charging / discharging time t, is used to determine the current cross-sectional power flow characteristics that need to be stored in the memory cell; This represents the activation function of the input gate; Indicates the weights of the input gates; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; This represents the bias term of the input gate;

[0112] Based on the candidate memory cells of the short-term load forecasting model, the power flow characteristics of candidate sections are determined, and the corresponding calculation formulas are as follows:

[0113] In the formula, Candidate memory cells representing charging / discharging time t are used to determine the power flow characteristics of candidate cross sections; Represents the hyperbolic tangent function; Indicates the weight of the candidate memory unit; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; Bias terms representing candidate memory units;

[0114] The calculation formula for updating the memory unit is as follows:

[0115] In the formula, A memory cell representing the charging / discharging time t; This represents the output of the forget gate at charge / discharge time t; This represents the memory cell representing the previous charge / discharge time t-1; The output of the input gate represents the charging / discharging time t; Candidate memory cells representing charging / discharging time t;

[0116] Based on the output gate of the short-term load forecasting model, the candidate cross-sectional power flow characteristics that need to be output to the hidden state are determined, and the corresponding calculation formula is as follows:

[0117] In the formula, The output of the output gate at charging / discharging time t is used to determine the candidate cross-sectional power flow characteristics that need to be output to the hidden state. This represents the activation function of the output gate; Indicates the weight of the output gate; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; This represents the bias term of the output gate;

[0118] Based on the memory unit at the charging / discharging time t and the output of the output gate, the predicted cross-sectional power flow data is determined, and the corresponding calculation formula is as follows:

[0119] In the formula, This represents the hidden state at charging / discharging time t, i.e., the predicted cross-sectional power flow data. ; Represents the hyperbolic tangent function; The output of the output gate represents the charging / discharging time t. A memory cell representing the charging / discharging time t.

[0120] First, features can be extracted from the current cross-sectional power flow data, and mechanisms such as forget gate and input gate can be used to effectively filter and retain key information, discard redundant data, and improve the ability of short-term load forecasting models to remember and process effective information.

[0121] Furthermore, by updating the memory units, the model can continuously learn and adapt to changes in power grid flow, making the prediction results more consistent with reality.

[0122] Furthermore, by determining the power flow characteristics of candidate sections, predictive power flow data can be obtained, thereby accurately predicting the changing trend of power flow in the grid. This provides a reliable basis for formulating energy storage charging and discharging strategies, enhances the stability and reliability of grid operation, and improves the synergistic efficiency between energy storage and the grid.

[0123] The total duration corresponding to the energy storage charging and discharging strategy is discretized according to a preset time interval to obtain the energy storage time series;

[0124] In the energy storage time series, the predicted change in energy storage power at the charging / discharging time t is obtained. Based on the energy storage section sensitivity MGD, the predicted section power flow change at the charging / discharging time t is calculated. ;

[0125] The predicted cross-sectional tidal data With the predicted cross-sectional tidal current change The sum of these is the simulated cross-sectional power flow data. .

[0126] This involves discretizing the total duration of the energy storage charging and discharging strategy, dividing the charging and discharging process into multiple time points to obtain the energy storage time series. Then, by combining the predicted changes in energy storage power and the sensitivity of the energy storage section, the predicted changes in power flow at the section can be calculated. Combined with the predicted power flow data at the section, simulated power flow data at the section can be derived. This allows for a comprehensive simulation of the grid operation after energy storage charging and discharging, revealing potential grid operation risks in advance.

[0127] Based on the simulated cross-sectional power flow data, if it is determined that a future overload / overload section exists according to the preset overload / over-limit criteria, then the predicted change in energy storage power is reduced sequentially. The charging and discharging time t is shifted back until there are no more future overload / over-limit sections, completing the adjustment process of the energy storage charging and discharging strategy and sending the adjusted energy storage charging and discharging strategy to the energy storage management terminal, or the number of strategy adjustments reaches the maximum number of adjustments, and a charging and discharging strategy cancellation command is sent to the energy storage management terminal.

[0128] When it is determined that there will be heavy loads or over-limit sections in the future, the energy storage charging and discharging strategy can be adjusted in a timely manner, effectively avoiding the risks of grid overload or over-limit, ensuring the safe and stable operation of the grid, realizing good coordination between energy storage and the grid, and improving the operation quality of the grid.

[0129] It should be noted that a maximum number of adjustments is set here. When the total number of strategy adjustments reaches the maximum number of adjustments, such as... Figure 2 As shown, the charging and discharging strategy cancellation command can be sent to the energy storage management terminal, i.e., the staff responsible for energy storage management, through the terminal device. This can save computing resources, improve the efficiency of energy storage utilization, and ensure the stability and orderliness of the power grid operation.

[0130] Through the above embodiments, this invention, through a sensitivity-based optimized energy storage charging and discharging strategy method, can acquire current cross-sectional power flow data and current cross-sectional power flow limits, and determine whether a current overloaded / overloaded cross-section exists based on preset overload / overload standards; receive energy storage charging and discharging requests, acquire energy storage cross-sectional sensitivity, and, combined with the judgment result of the current overloaded / overloaded cross-section, determine whether energy storage charging and discharging operations are permitted; if energy storage charging and discharging operations are permitted, calculate the maximum energy storage charging and discharging power based on the current cross-sectional power flow data and current cross-sectional power flow limits; construct a short-term load forecasting model, and based on... Based on the current cross-sectional power flow data, predictive cross-sectional power flow data is determined; based on the maximum power of energy storage charging and discharging, an energy storage charging and discharging strategy is constructed and the predicted cross-sectional power flow change is calculated. Combined with the predicted cross-sectional power flow data, simulated cross-sectional power flow data is obtained; based on the simulated cross-sectional power flow data, according to the preset heavy load / over-limit standards, it is determined whether there are future heavy load / over-limit sections, and the energy storage charging and discharging strategy is adjusted. This enables safety verification, power optimization, and dynamic adjustment of energy storage charging and discharging, improves the real-time performance and dynamic adaptability of energy storage charging and discharging plans, enhances energy storage utilization efficiency, and ensures the safe operation of the power grid.

[0131] This invention can quickly and accurately verify whether energy storage can be charged and discharged under the current operating conditions of the power grid, thereby meeting the safety verification requirements for energy storage charging and discharging and ensuring power grid security. This invention can accurately calculate the maximum charging and discharging power of energy storage, avoiding the impact on power grid stability due to unreasonable charging and discharging power, thus improving energy storage utilization efficiency. This invention can adjust energy storage charging and discharging plans to adapt to future dynamic changes in the power grid, enhancing the flexibility and adaptability of energy storage charging and discharging strategies, and improving the safety and economy of power grid operation.

[0132] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0133] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0134] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

Claims

1. A sensitivity-optimized energy storage charging and discharging strategy method, characterized in that, The method includes: Obtain the current cross-sectional power flow data and current cross-sectional power flow limit, and determine whether there is a current overload / overload cross-section based on the preset overload / overload standard; Receive energy storage charging and discharging requests, obtain energy storage section sensitivity, and combine the judgment results of the current overload / over-limit section to determine whether energy storage charging and discharging operations are allowed; If energy storage charging and discharging operations are permitted, the maximum energy storage charging and discharging power is calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit. Construct a short-term load forecasting model and determine the predicted cross-sectional load data based on the current cross-sectional load data; Based on the maximum power of energy storage charging and discharging, an energy storage charging and discharging strategy is constructed and the predicted cross-sectional power flow change is calculated. The simulated cross-sectional power flow data is obtained by combining the predicted cross-sectional power flow data. Based on the simulated cross-sectional power flow data, the existence of future heavy-load / over-limit cross-sections is determined according to the preset heavy-load / over-limit criteria, and the energy storage charging and discharging strategy is adjusted accordingly. The process of receiving energy storage charging and discharging requests, acquiring energy storage section sensitivity, and combining the judgment result of the current overload / over-limit section to determine whether to allow energy storage charging and discharging operations specifically includes: Upon receiving the energy storage charging and discharging request, the system collects the current cross-sectional power flow change and the current energy storage power change, and calculates the energy storage cross-sectional sensitivity as follows: In the formula, MGD represents the energy storage section sensitivity; This indicates the current change in tidal current at the cross-section; This indicates the current change in energy storage power; If the energy storage section sensitivity MGD of the current overload / overlimit section in the charging state is ≥0, then the energy storage charging operation is allowed; otherwise, the energy storage charging operation is prohibited. If the energy storage section sensitivity MGD of the current overload / overlimit section under the discharge state is ≤0, then the energy storage discharge operation is allowed; otherwise, the energy storage discharge operation is prohibited.

2. The method for a sensitivity-optimized energy storage charging and discharging strategy according to claim 1, characterized in that, The process of acquiring the current cross-sectional power flow data and the current cross-sectional power flow limit, and determining whether a current overloaded / overloaded cross-section exists based on preset overload / overload standards, specifically includes: Based on the data acquisition and monitoring control system, the current cross-sectional power flow data and the current cross-sectional power flow limit are collected in real time; Based on the preset overload / over-limit standard, the existence of the current overload / over-limit section is determined according to the current cross-sectional power flow data and the current cross-sectional power flow limit. The corresponding calculation formula is as follows: In the formula, PDJG represents the judgment result of the current overload / over-limit section; This indicates the current cross-sectional power flow data; This indicates the current cross-sectional power flow limit.

3. The method for sensitivity-optimized energy storage charging and discharging strategy according to claim 1, characterized in that, Obtain the section ID and the corresponding energy storage section sensitivity, the current section power flow data, the current section power flow limit, and the judgment result of the current overload / over-limit section, and establish a section data storage repository.

4. The method for sensitivity-optimized energy storage charging and discharging strategy according to claim 1, characterized in that, If energy storage charging and discharging operations are permitted, the maximum energy storage charging and discharging power is calculated based on the current cross-sectional power flow data and the current cross-sectional power flow limit, specifically including: The formula for calculating the maximum power of energy storage charging during the charging process is as follows: In the formula, Indicates the maximum power of energy storage charging; This indicates the operation of finding the minimum value; Indicates the current cross-sectional power flow limit; This indicates the current cross-sectional power flow data; Indicates the current energy storage charging power; The formula for calculating the maximum power of energy storage discharge under discharge conditions is as follows: In the formula, Indicates the maximum power of energy storage discharge; This indicates the operation of finding the minimum value; Indicates the current cross-sectional power flow limit; This indicates the current cross-sectional power flow data; This indicates the current energy storage discharge power.

5. The method for a sensitivity-optimized energy storage charging and discharging strategy according to claim 1, characterized in that, The construction of the short-term load forecasting model and the determination of the predicted load flow data based on the current cross-sectional load flow data specifically include: Feature extraction is performed on the current cross-sectional power flow data to obtain the corresponding current cross-sectional power flow features; The current cross-sectional power flow characteristics are input into the forget gate of the short-term load forecasting model to determine the current cross-sectional power flow characteristics that need to be discarded from the memory unit. The corresponding calculation formula is as follows: In the formula, The output of the forget gate at charge / discharge time t is used to determine the current cross-sectional power flow characteristics that need to be discarded from the memory cell; Represents the activation function of the forget gate; Indicates the weight of the forget gate; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; The bias term representing the forget gate; Based on the input gate of the short-term load forecasting model, the current cross-sectional power flow characteristics that need to be stored in the memory unit are determined, and the corresponding calculation formula is as follows: In the formula, The output of the input gate, representing the charging / discharging time t, is used to determine the current cross-sectional power flow characteristics that need to be stored in the memory cell; This represents the activation function of the input gate; Indicates the weights of the input gates; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; This represents the bias term of the input gate; Based on the candidate memory cells of the short-term load forecasting model, the power flow characteristics of candidate sections are determined, and the corresponding calculation formulas are as follows: In the formula, Candidate memory cells representing charging / discharging time t are used to determine the power flow characteristics of candidate cross sections; Represents the hyperbolic tangent function; Indicates the weight of the candidate memory unit; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; Bias terms representing candidate memory units; The calculation formula for updating the memory unit is as follows: In the formula, A memory cell representing the charging / discharging time t; This represents the output of the forget gate at charge / discharge time t; This represents the memory cell representing the previous charge / discharge time t-1; The output of the input gate represents the charging / discharging time t; Candidate memory cells representing charging / discharging time t; Based on the output gate of the short-term load forecasting model, the candidate cross-sectional power flow characteristics that need to be output to the hidden state are determined, and the corresponding calculation formula is as follows: In the formula, The output of the output gate at charging / discharging time t is used to determine the candidate cross-sectional power flow characteristics that need to be output to the hidden state. This represents the activation function of the output gate; Indicates the weight of the output gate; This represents the hidden state at the previous charge / discharge time t-1; This represents the current cross-sectional power flow characteristics input at charging / discharging time t; Indicates hidden state and current cross-sectional tidal characteristics The vector formed; This represents the bias term of the output gate; Based on the memory unit at the charging / discharging time t and the output of the output gate, the predicted cross-sectional power flow data is determined, and the corresponding calculation formula is as follows: In the formula, This represents the hidden state at charging / discharging time t, i.e., the predicted cross-sectional power flow data. ; Represents the hyperbolic tangent function; The output of the output gate represents the charging / discharging time t. A memory cell representing the charging / discharging time t.

6. The method for sensitivity-optimized energy storage charging and discharging strategy according to claim 5, characterized in that, The total duration corresponding to the energy storage charging and discharging strategy is discretized according to a preset time interval to obtain the energy storage time series; In the energy storage time series, the predicted change in energy storage power at the charging / discharging time t is obtained. Based on the energy storage section sensitivity MGD, the predicted section power flow change at the charging / discharging time t is calculated. ; The predicted cross-sectional tidal data With the predicted cross-sectional tidal current change The sum of these is the simulated cross-sectional power flow data. .

7. The method for a sensitivity-optimized energy storage charging and discharging strategy according to claim 6, characterized in that, Based on the simulated cross-sectional power flow data, if it is determined that a future overload / overload section exists according to the preset overload / over-limit criteria, then the predicted change in energy storage power is reduced sequentially. The charging and discharging time t is shifted back until there are no more future overload / over-limit sections, completing the adjustment process of the energy storage charging and discharging strategy and sending the adjusted energy storage charging and discharging strategy to the energy storage management terminal, or the number of strategy adjustments reaches the maximum number of adjustments, and a charging and discharging strategy cancellation command is sent to the energy storage management terminal.

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