Energy storage scheduling method and system

Abstract

The present invention relates to the technical field of energy storage scheduling, and is used to solve the problem of unreasonable regional energy storage scheduling management, and in particular to an energy storage scheduling method and system. The present invention analyzes from two points of energy storage equipment and scheduling decision evaluation to improve the rationality and safety of energy storage scheduling in a target area, and at the same time helps to improve the supervision and management efficiency of energy storage scheduling in the target area. Under the premise that the overall scheduling of energy storage equipment is normal, scheduling allocation optimization self-inspection feedback analysis is performed by information feedback to determine whether the current energy storage scheduling decision is qualified, so as to perform reasonable optimization processing according to the information feedback situation to improve the rationality of energy storage scheduling. At the same time, combined with the regional scheduling efficiency change trend, analysis is performed to understand the energy storage scheduling management situation in the target area, and the overall energy storage scheduling decision of the target area is reasonably and targetedly controlled according to the feedback text to ensure the rationality and reliability of the energy storage scheduling management in the entire area.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage scheduling, and in particular to an energy storage scheduling method and system. Background Art

[0002] In recent years, with the development of energy storage technology, the progress of lithium-ion batteries and other types of energy storage technology has promoted the development of power dispatching technology. Energy storage power dispatching technology will play an important role in the future power system. Energy storage technology can balance power demand and supply and improve the stability and reliability of the power system.

[0003] However, energy storage power dispatching technology still faces technical, economic and environmental challenges. In particular, during the energy storage process, it is impossible to supervise the energy storage safety and stability of the energy storage equipment in the target area, which in turn interferes with subsequent power dispatching and reduces the efficiency of subsequent power dispatching. It is also impossible to supervise the energy storage dispatching decisions of each energy storage equipment in the target area, which reduces the rationality of the use of energy storage dispatching decisions and makes it impossible to rationally control regional energy storage dispatching decisions.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an energy storage scheduling method and system to solve the technical defects mentioned above. The present invention analyzes from two points of energy storage equipment and scheduling decision evaluation to improve the rationality and safety of energy storage scheduling in the target area, and at the same time helps to improve the supervision and management efficiency of energy storage scheduling in the target area. Under the premise that the energy storage equipment is normal as a whole, the scheduling data of the energy storage equipment is subjected to scheduling allocation optimization self-inspection feedback analysis by means of information feedback to determine whether the current energy storage scheduling decision is qualified, so as to perform reasonable optimization processing according to the information feedback to improve the rationality of energy storage scheduling. At the same time, combined with the trend of regional scheduling efficiency changes, analysis is performed to understand the energy storage scheduling management situation in the target area, and the overall energy storage scheduling decision of the target area is reasonably and targetedly controlled according to the feedback text to ensure the rationality and reliability of the energy storage scheduling management in the entire area.

[0006] The object of the present invention can be achieved by the following technical solutions: an energy storage dispatching system, including an energy storage dispatching platform, an energy storage information unit, an interference feedback evaluation unit, an obstruction supervision feedback unit, a dispatch tracking unit, a response management unit and a regional management unit;

[0007] When the energy storage dispatching platform generates an operation management instruction, the operation management instruction is sent to the energy storage information unit. After receiving the operation management instruction, the energy storage information unit immediately collects the dispatch interference data and dispatch obstruction data of the energy storage equipment in the target area. The dispatch interference data includes the energy storage loss value and the potential dispatch error value, and the dispatch obstruction data includes the state risk value and the safety interference value. The dispatch interference data and the dispatch obstruction data are sent to the interference feedback evaluation unit and the obstruction supervision feedback unit respectively. After receiving the dispatch interference data, the interference feedback evaluation unit immediately performs front-end dispatch interference supervision analysis on the dispatch interference data, sends the obtained normal signal to the dispatch tracking unit, and sends the obtained risk signal to the response management unit;

[0008] After receiving the scheduling obstruction data, the obstruction supervision feedback unit immediately performs scheduling failure risk assessment and analysis on the scheduling obstruction data, sends the obtained stable signal to the scheduling tracking unit, and sends the obtained interference signal to the response management unit;

[0009] After receiving the normal signal and the stable signal, the dispatch tracking unit immediately collects the dispatch data of the energy storage device, including the management demand value and the dispatch optimization coefficient, and performs dispatch allocation optimization self-check feedback analysis on the dispatch data, and sends the obtained qualified and unqualified signals to the response management unit and the regional management unit;

[0010] After receiving the qualified signal and the unqualified signal, the regional management unit immediately conducts regional scheduling management evaluation and analysis, and sends the obtained first-level control signal, second-level control signal and third-level control signal to the response management unit.

[0011] Preferably, the front-end scheduling interference supervision analysis process of the interference feedback evaluation unit is as follows:

[0012] S1: Set a monitoring cycle and set it as a time threshold, divide the time threshold into i sub-periods, where i is a natural number greater than zero, obtain the self-energy storage loss of each energy storage device in the target area in each sub-period, establish a rectangular coordinate system with the number of sub-periods as the X-axis and the self-energy storage loss as the Y-axis, draw the self-energy storage loss curve by plotting points, and set the part of the area enclosed by the self-energy storage loss curve and the X-axis that is greater than the preset threshold as the energy storage loss value;

[0013] S2: Obtain the historical energy storage times of each energy storage device in the target area within the time threshold, obtain the actual storage energy and the set storage energy of each energy storage device at each time, set the part of the actual storage energy that deviates from the set storage energy as the deviation interference value, establish a rectangular coordinate system with the times as the X-axis and the deviation interference value as the Y-axis, draw the deviation interference value curves by plotting points, and then set the change trend value of the deviation interference value curve as the potential scheduling error value, and label the energy storage loss value and the potential scheduling error value as CF and QD respectively;

[0014] S3: The potential scheduling interference coefficient Q is obtained according to the formula, and the potential scheduling interference coefficient Q is compared and analyzed with the preset potential scheduling interference coefficient threshold value recorded and stored internally:

[0015] If the ratio between the potential scheduling interference coefficient Q and the preset potential scheduling interference coefficient threshold is less than 1, a normal signal is generated and sent to the scheduling tracking unit;

[0016] If the ratio between the potential scheduling interference coefficient Q and the preset potential scheduling interference coefficient threshold is greater than or equal to 1, a risk signal is generated.

[0017] Preferably, the scheduling failure risk assessment and analysis process of the obstruction supervision feedback unit is as follows:

[0018] The operating performance value of each energy storage device in the target area in each sub-time period is obtained. The operating performance value represents the product of the maximum change value of the abnormal noise of the energy storage device and the maximum change value of the vibration amplitude after data normalization, and then the sum of the difference between the maximum operating temperature and the initial temperature after data normalization, to construct a set A of operating performance values, and set the difference between the maximum subset and the minimum subset in set A as the state risk value;

[0019] The safe energy storage value of each energy storage device in the target area in each sub-time period is obtained. The safe energy storage value represents the product of the part of the value corresponding to the environmental impact parameter of the energy storage device that exceeds the preset threshold and the duration after data normalization. The environmental impact parameters include the average temperature and the average dust concentration. The proportion of the number of sub-time periods corresponding to the safe energy storage value greater than the preset safe energy storage value threshold is set as the safety interference value.

[0020] Preferably, the state risk value and the safety interference value are compared and analyzed with the preset state risk value threshold and the preset safety interference value threshold that are internally recorded and stored:

[0021] If the state risk value is less than the preset state risk value threshold, and the safety interference value is less than the preset safety interference value threshold, a stable signal is generated;

[0022] If the state risk value is greater than or equal to a preset state risk value threshold, or the safety interference value is greater than or equal to a preset safety interference value threshold, an interference signal is generated.

[0023] Preferably, the scheduling allocation optimization self-checking feedback analysis process of the scheduling tracking unit is as follows:

[0024] T1: Obtain the dispatching management demand value of the energy storage equipment in the target area within the time threshold. The dispatching management demand value represents the ratio of the number of energy storage dispatches of the energy storage equipment to the average time interval between the number of energy storage dispatches after data normalization. Compare and analyze the dispatching management demand value with the stored preset dispatching management demand threshold, and set the part of the dispatching management demand value that is greater than the preset dispatching management demand value threshold as the management demand value;

[0025] T2: Obtain the energy storage dispatching value corresponding to each energy storage dispatching number of the current energy storage device within the time threshold, establish a rectangular coordinate system with the energy storage dispatching number as the X-axis and the energy storage dispatching value as the Y-axis, draw the energy storage dispatching value curve by plotting points, set the area enclosed by the line segment of the energy storage dispatching value curve above the preset energy storage dispatching value curve and the preset energy storage dispatching value as the dispatching optimization coefficient, and label the management demand value and the dispatching optimization coefficient as GX and TD respectively;

[0026] T3: Obtain the dispatch management evaluation coefficient G according to the formula, and compare and analyze the dispatch management evaluation coefficient G with the preset dispatch management evaluation coefficient threshold value stored in the internal input:

[0027] If the ratio between the dispatch management evaluation coefficient G and the preset dispatch management evaluation coefficient threshold is less than 1, a qualified signal is generated;

[0028] If the ratio between the scheduling management evaluation coefficient G and the preset scheduling management evaluation coefficient threshold is greater than or equal to 1, a failure signal is generated.

[0029] Preferably, the regional scheduling management evaluation and analysis process of the regional management unit is as follows:

[0030] The number of energy storage devices corresponding to qualified signals within the time threshold is obtained, and the number of energy storage devices corresponding to unqualified signals within the time threshold is obtained at the same time. The ratio between the number of energy storage devices corresponding to unqualified signals and the number of energy storage devices corresponding to qualified signals is set as the regional scheduling coefficient, and the regional scheduling coefficient is compared and analyzed with the preset regional scheduling coefficient threshold value stored in the internal input:

[0031] If the ratio between the regional scheduling coefficient and the preset regional scheduling coefficient threshold is less than or equal to 1, no signal is generated;

[0032] If the ratio between the regional dispatch coefficient and the preset regional dispatch coefficient threshold is greater than 1, a regional optimization signal is generated, and the part of the regional dispatch coefficient that is greater than the preset regional dispatch coefficient threshold is set as the regional management value. At the same time, the regional dispatch coefficient of the target area within the historical m time thresholds is obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number as the X-axis and the regional dispatch coefficient as the Y-axis. The regional dispatch coefficient curve is drawn by plotting points, and the change value of the regional dispatch coefficient curve is set as the trend risk value. The regional management value QG and the trend risk value QS are substituted into the formula The regional dispatch matching coefficient is obtained, where α is the preset error factor coefficient, α is greater than zero, and H is the regional dispatch matching coefficient. The regional dispatch matching coefficient H is compared and analyzed with the preset regional dispatch matching coefficient interval stored in the internal input:

[0033] If the regional scheduling matching coefficient H is greater than the maximum value in the preset regional scheduling matching coefficient interval, a first-level control signal is generated; if the regional scheduling matching coefficient H belongs to the preset regional scheduling matching coefficient interval, a second-level control signal is generated; if the regional scheduling matching coefficient H is less than the minimum value in the preset regional scheduling matching coefficient interval, a third-level control signal is generated.

[0034] The beneficial effects of the present invention are as follows:

[0035] The present invention analyzes energy storage equipment and scheduling decision evaluation to improve the rationality and safety of energy storage scheduling in the target area, and helps to improve the regulatory management efficiency of energy storage scheduling in the target area. The scheduling interference data and scheduling obstruction data of the energy storage equipment are analyzed to optimize the management of the energy storage equipment according to the feedback information, so as to reduce the impact of energy storage and failure risks of energy storage equipment on subsequent scheduling, thereby helping to improve the efficiency and stability of subsequent scheduling.

[0036] Under the premise that the energy storage equipment is normal as a whole, the present invention performs scheduling allocation optimization self-checking feedback analysis on the scheduling data of the energy storage equipment by means of information feedback to determine whether the current energy storage scheduling decision is qualified, so as to perform reasonable optimization processing according to the information feedback situation to improve the rationality of energy storage scheduling, and at the same time analyze the changing trend of regional scheduling efficiency to understand the energy storage scheduling management situation in the target area, and reasonably and targetedly control the overall energy storage scheduling decision of the target area according to the feedback text to ensure the rationality and reliability of the energy storage scheduling management in the entire area. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described below in conjunction with the accompanying drawings;

[0038] Figure 1 It is a reference analysis diagram of the method of the present invention;

[0039] Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] Example 1: Please refer to Figure 1 to Figure 2 As shown, the present invention is a method for energy storage scheduling, comprising the following steps:

[0042] Step 1: Collect the dispatch interference data and dispatch obstruction data of the energy storage equipment in the target area, and send them to step 2 and step 3 for processing respectively;

[0043] Step 2: Perform front-end scheduling interference supervision analysis on the scheduling interference data by means of information feedback to determine whether the energy storage of the energy storage equipment affects the subsequent scheduling. If a normal signal is obtained, proceed to step 4. If a risk signal is obtained, early warning feedback processing is performed;

[0044] Step 3: Conduct a dispatching failure risk assessment and analysis on the dispatching interference data by means of information feedback to understand the impact of the failure risk of the energy storage equipment itself on the dispatching. If a stable signal is obtained, proceed to step 4. If an interference signal is obtained, an early warning feedback process is performed.

[0045] Step 4: Perform self-checking feedback analysis on dispatch allocation optimization through information fusion to determine whether the current energy storage dispatch decision is qualified, perform discrimination processing on the obtained dispatch management evaluation coefficient G, and perform feedback processing on the obtained qualified and unqualified signals;

[0046] Step 5: Perform regional dispatch management evaluation and analysis through progressive analysis, and analyze the trend of regional dispatch efficiency changes to understand the target area's energy storage dispatch management situation, so as to display the corresponding preset warning text according to the feedback information;

[0047] An energy storage dispatching system comprises an energy storage dispatching platform, an energy storage information unit, an interference feedback evaluation unit, an obstacle supervision feedback unit, a dispatching tracking unit, a response management unit and a regional management unit, wherein the energy storage dispatching platform is connected to the energy storage information unit in a one-way communication manner, the energy storage information unit is connected to both the interference feedback evaluation unit and the obstacle supervision feedback unit in a one-way communication manner, the interference feedback evaluation unit and the obstacle supervision feedback unit are connected to both the dispatching tracking unit and the response management unit in a one-way communication manner, the dispatching tracking unit is connected to both the regional management unit and the response management unit in a one-way communication manner, and the regional management unit is connected to the response management unit in a one-way communication manner;

[0048] When the energy storage dispatching platform generates an operation and management instruction, the operation and management instruction is sent to the energy storage information unit. After receiving the operation and management instruction, the energy storage information unit immediately collects the dispatch interference data and dispatch obstruction data of the energy storage equipment in the target area. The dispatch interference data includes the energy storage loss value and the potential dispatch error value, and the dispatch obstruction data includes the state risk value and the safety interference value. The dispatch interference data and the dispatch obstruction data are sent to the interference feedback evaluation unit and the obstruction supervision feedback unit respectively. After receiving the dispatch interference data, the interference feedback evaluation unit immediately performs a front-end dispatch interference supervision analysis on the dispatch interference data to determine whether the energy storage equipment has an impact on the subsequent dispatch, so as to timely optimize the management of the energy storage equipment to reduce the impact of the energy storage equipment on the subsequent dispatch, thereby helping to improve the subsequent dispatch efficiency. The specific front-end dispatch interference supervision analysis process is as follows:

[0049] Set a monitoring cycle and set it as the time threshold. Divide the time threshold into i sub-periods, where i is a natural number greater than zero. Obtain the self-storage loss of each energy storage device in the target area in each sub-period. Establish a rectangular coordinate system with the number of sub-periods as the X-axis and the self-storage loss as the Y-axis. Draw the self-storage loss curve by plotting points. Set the area enclosed by the self-storage loss curve and the X-axis that is greater than the preset threshold as the energy storage loss value. It should be noted that the larger the value of the energy storage loss value, the greater the risk of abnormal subsequent energy storage scheduling of the energy storage device.

[0050] The historical energy storage times of each energy storage device in the target area within the time threshold are obtained, and the actual storage energy and the set storage energy of each energy storage device are obtained. The portion of the actual storage energy that deviates from the set storage energy is set as the deviation interference value. A rectangular coordinate system is established with the times as the X-axis and the deviation interference value as the Y-axis. The deviation interference value curves are drawn by plotting points, and then the change trend value of the deviation interference value curve is set as the potential scheduling error value. It should be noted that the larger the value of the potential scheduling error value, the greater the risk of abnormal subsequent energy storage scheduling of the energy storage device. The energy storage loss value and the potential scheduling error value are labeled CF and QD respectively;

[0051] According to the formula The potential dispatch interference coefficient is obtained, where f1 and f2 are respectively the preset weight factor coefficients of the energy storage loss value and the potential dispatch error value, f3 is the preset compensation factor coefficient, f1, f2 and f3 are all greater than zero, Q is the potential dispatch interference coefficient, and the potential dispatch interference coefficient Q is compared and analyzed with the preset potential dispatch interference coefficient threshold value stored in the internal input:

[0052] If the ratio between the potential scheduling interference coefficient Q and the preset potential scheduling interference coefficient threshold is less than 1, a normal signal is generated and sent to the scheduling tracking unit;

[0053] If the ratio between the potential scheduling interference coefficient Q and the preset potential scheduling interference coefficient threshold is greater than or equal to 1, a risk signal is generated and sent to the response management unit. After receiving the risk signal, the response management unit immediately displays the energy storage device number and preset warning text corresponding to the risk signal, so as to timely optimize the management of the energy storage device with risks to ensure the scheduling accuracy and stability of the energy storage device;

[0054] After receiving the scheduling obstruction data, the obstruction supervision feedback unit immediately conducts a scheduling failure risk assessment and analysis on the scheduling obstruction data to determine whether the risk of energy storage equipment failure is too high, so as to conduct early warning feedback management in a timely manner to ensure the stability of subsequent scheduling of energy storage equipment, and at the same time help improve scheduling efficiency. The specific scheduling failure risk assessment and analysis process is as follows:

[0055] The operating performance value of each energy storage device in the target area in each sub-time period is obtained. The operating performance value represents the product of the maximum change value of the abnormal noise of the energy storage device and the maximum change value of the vibration amplitude after data normalization, and then the sum of the difference between the maximum operating temperature and the initial temperature after data normalization, to construct a set A of operating performance values, and set the difference between the maximum subset and the minimum subset in set A as the state risk value. It should be noted that the larger the value of the state risk value, the greater the abnormal energy storage risk of the energy storage device;

[0056] The safe energy storage value of each energy storage device in the target area in each sub-time period is obtained. The safe energy storage value represents the product of the portion of the value corresponding to the environmental impact parameter of the energy storage device that exceeds the preset threshold and the duration after data normalization. The environmental impact parameters include the average temperature, the average dust concentration, etc. The proportion of the number of sub-time periods corresponding to the safe energy storage value greater than the preset safe energy storage value threshold is set as the safety interference value. It should be noted that the larger the value of the safety interference value, the greater the risk of abnormal energy storage of the energy storage device;

[0057] Compare and analyze the state risk value and safety interference value with the preset state risk value threshold and preset safety interference value threshold that are stored internally:

[0058] If the state risk value is less than the preset state risk value threshold, and the safety interference value is less than the preset safety interference value threshold, a stabilization signal is generated and sent to the dispatch tracking unit;

[0059] If the state risk value is greater than or equal to the preset state risk value threshold, or the safety interference value is greater than or equal to the preset safety interference value threshold, an interference signal is generated and sent to the response management unit. After receiving the interference signal, the response management unit immediately displays the energy storage device number and preset warning text corresponding to the interference signal, so as to timely manage the abnormal energy storage device, so as to improve the energy storage stability of the energy storage device, so as to improve the scheduling effectiveness of the energy storage device.

[0060] Embodiment 2: After receiving the normal signal and the stable signal, the dispatch tracking unit immediately collects the dispatch data of the energy storage device, the dispatch data includes the management demand value and the dispatch optimization coefficient, and performs dispatch allocation optimization self-check feedback analysis on the dispatch data to determine whether the current energy storage dispatch decision is qualified, so as to perform reasonable optimization processing according to the information feedback to improve the rationality of energy storage dispatch. The specific dispatch allocation optimization self-check feedback analysis process is as follows:

[0061] Obtain the dispatching management demand value of the energy storage equipment in the target area within the time threshold. The dispatching management demand value represents the ratio of the number of energy storage dispatches of the energy storage equipment to the average time interval between the number of energy storage dispatches after data normalization. Compare and analyze the dispatching management demand value with the stored preset dispatching management demand threshold, and set the part of the dispatching management demand value that is greater than the preset dispatching management demand value threshold as the management demand value. It should be noted that the larger the value of the management demand value, the higher the optimization demand for the energy storage management decision of the current energy storage equipment.

[0062] Obtain the energy storage dispatching value corresponding to each energy storage dispatching number of the current energy storage device within the time threshold, establish a rectangular coordinate system with the energy storage dispatching number as the X-axis and the energy storage dispatching value as the Y-axis, draw the energy storage dispatching value curve by plotting points, and set the area enclosed by the line segment of the energy storage dispatching value curve above the preset energy storage dispatching value curve and the preset energy storage dispatching value as the dispatching optimization coefficient. It should be noted that the larger the value of the dispatching optimization coefficient, the higher the optimization demand for the energy storage management decision of the current energy storage device, and the energy storage allocation deviation is too large. The management demand value and the dispatching optimization coefficient are labeled GX and TD respectively;

[0063] According to the formula The dispatch management evaluation coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the management demand value and the dispatch optimization coefficient respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. A3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. G is the dispatch management evaluation coefficient. The dispatch management evaluation coefficient G is compared and analyzed with the preset dispatch management evaluation coefficient threshold value stored in the internal input:

[0064] If the ratio between the dispatch management evaluation coefficient G and the preset dispatch management evaluation coefficient threshold is less than 1, a qualified signal is generated;

[0065] If the ratio between the dispatch management evaluation coefficient G and the preset dispatch management evaluation coefficient threshold is greater than or equal to 1, an unqualified signal is generated, and the qualified signal and the unqualified signal are sent to the response management unit and the regional management unit. After receiving the qualified signal and the unqualified signal, the response management unit immediately displays the energy storage device number and the preset warning text corresponding to the qualified signal and the unqualified signal, so as to perform reasonable optimization processing according to the information feedback to improve the rationality of energy storage scheduling;

[0066] After receiving qualified and unqualified signals, the regional management unit immediately conducts regional dispatch management evaluation and analysis to determine whether the efficiency risk of energy storage dispatch management in the entire target area is too high, so as to timely optimize management and ensure the rationality and reliability of energy storage dispatch management in the entire area. The specific regional dispatch management evaluation and analysis process is as follows:

[0067] The number of energy storage devices corresponding to qualified signals within the time threshold is obtained, and the number of energy storage devices corresponding to unqualified signals within the time threshold is obtained at the same time. The ratio between the number of energy storage devices corresponding to unqualified signals and the number of energy storage devices corresponding to qualified signals is set as the regional scheduling coefficient, and the regional scheduling coefficient is compared and analyzed with the preset regional scheduling coefficient threshold value stored in the internal input:

[0068] If the ratio between the regional scheduling coefficient and the preset regional scheduling coefficient threshold is less than or equal to 1, no signal is generated;

[0069] If the ratio between the regional scheduling coefficient and the preset regional scheduling coefficient threshold is greater than 1, a regional optimization signal is generated, and the part of the regional scheduling coefficient that is greater than the preset regional scheduling coefficient threshold is set as the regional management value. At the same time, the regional scheduling coefficient of the target area within the historical m time thresholds is obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number as the X-axis and the regional scheduling coefficient as the Y-axis. The regional scheduling coefficient curve is drawn by plotting points, and the change value of the regional scheduling coefficient curve is set as the trend risk value. The regional management value and the trend risk value are labeled QG and QS respectively, and the regional management value QG and the trend risk value QS are substituted into the formula The regional dispatch matching coefficient is obtained, where α is the preset error factor coefficient, α is greater than zero, and H is the regional dispatch matching coefficient. The regional dispatch matching coefficient H is compared and analyzed with the preset regional dispatch matching coefficient interval stored in the internal input:

[0070] If the regional scheduling matching coefficient H is greater than the maximum value in the preset regional scheduling matching coefficient interval, a first-level control signal is generated;

[0071] If the regional scheduling matching coefficient H belongs to the preset regional scheduling matching coefficient interval, a secondary control signal is generated;

[0072] If the regional dispatch matching coefficient H is less than the minimum value in the preset regional dispatch matching coefficient interval, a three-level control signal is generated, wherein the control degrees corresponding to the first-level control signal, the second-level control signal and the third-level control signal are successively reduced, and the first-level control signal, the second-level control signal and the third-level control signal are sent to the response management unit. After receiving the first-level control signal, the second-level control signal and the third-level control signal, the response management unit immediately displays the preset warning texts corresponding to the first-level control signal, the second-level control signal and the third-level control signal, that is, the preset warning text corresponding to the first-level control signal is "deep dispatch allocation control", the preset warning text corresponding to the second-level control signal is "medium dispatch allocation control", and the preset warning text corresponding to the third-level control signal is "shallow dispatch allocation control", and then the overall energy storage dispatch of the target area is reasonably and targetedly controlled according to the feedback text to ensure the rationality and reliability of the energy storage dispatch management of the entire region;

[0073] In summary, the present invention analyzes from two points of energy storage equipment and scheduling decision evaluation to improve the rationality and safety of energy storage scheduling in the target area, and at the same time helps to improve the supervision and management efficiency of energy storage scheduling in the target area, and analyzes the scheduling interference data and scheduling obstruction data of the energy storage equipment, so as to optimize the management of the energy storage equipment according to the feedback information, so as to reduce the impact of energy storage and failure risks of the energy storage equipment on subsequent scheduling, thereby helping to improve the subsequent scheduling efficiency and stability, and under the premise that the energy storage equipment is normal as a whole, the scheduling data of the energy storage equipment is analyzed by means of information feedback to optimize the scheduling allocation self-check feedback analysis to determine whether the current energy storage scheduling decision is qualified, so as to perform reasonable optimization processing according to the information feedback situation to improve the rationality of energy storage scheduling, and at the same time, analyze in combination with the trend of regional scheduling efficiency changes to understand the energy storage scheduling management situation in the target area, and reasonably and targetedly control the overall energy storage scheduling decision of the target area according to the feedback text to ensure the rationality and reliability of the energy storage scheduling management in the entire area.

[0074] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0075] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A method for energy storage scheduling, characterized in that: The following steps are involved: Step 1: Collect the dispatch interference data and dispatch obstruction data of the energy storage equipment in the target area, and send them to step 2 and step 3 for processing respectively; Step 2: Perform front-end scheduling interference supervision analysis on the scheduling interference data by means of information feedback to determine whether the energy storage of the energy storage equipment affects the subsequent scheduling. If a normal signal is obtained, proceed to step 4. If a risk signal is obtained, early warning feedback processing is performed; Step 3: Conduct a dispatching failure risk assessment and analysis on the dispatching interference data by means of information feedback to understand the impact of the failure risk of the energy storage equipment itself on the dispatching. If a stable signal is obtained, proceed to step 4. If an interference signal is obtained, an early warning feedback process is performed. Step 4: Perform self-checking feedback analysis on dispatch allocation optimization through information fusion to determine whether the current energy storage dispatch decision is qualified, perform discrimination processing on the obtained dispatch management evaluation coefficient G, and perform feedback processing on the obtained qualified and unqualified signals; Step 5: Perform regional dispatch management evaluation and analysis through progressive analysis, and analyze the trend of regional dispatch efficiency changes to understand the target area's energy storage dispatch management situation, so as to display the corresponding preset warning text according to the feedback information; The front-end scheduling interference supervision analysis process is as follows: S1: Set a monitoring cycle and set it as a time threshold, divide the time threshold into i sub-periods, where i is a natural number greater than zero, obtain the self-energy storage loss of each energy storage device in the target area in each sub-period, establish a rectangular coordinate system with the number of sub-periods as the X-axis and the self-energy storage loss as the Y-axis, draw the self-energy storage loss curve by plotting points, and set the part of the area enclosed by the self-energy storage loss curve and the X-axis that is greater than the preset threshold as the energy storage loss value; S2: Obtain the historical energy storage times of each energy storage device in the target area within the time threshold, obtain the actual storage energy and the set storage energy of each energy storage device at each time, set the part of the actual storage energy that deviates from the set storage energy as the deviation interference value, establish a rectangular coordinate system with the times as the X-axis and the deviation interference value as the Y-axis, draw the deviation interference value curves by plotting points, and then set the change trend value of the deviation interference value curve as the potential scheduling error value, and label the energy storage loss value and the potential scheduling error value as CF and QD respectively; S3: According to the formula The potential dispatch interference coefficient Q is obtained, where f1 and f2 are the preset weight factor coefficients of the energy storage loss value and the potential dispatch error value, respectively, and f3 is the preset compensation factor coefficient. f1, f2 and f3 are all greater than zero. The potential dispatch interference coefficient Q is compared and analyzed with the preset potential dispatch interference coefficient threshold value stored in the internal input: If the ratio between the potential scheduling interference coefficient Q and the preset potential scheduling interference coefficient threshold is less than 1, a normal signal is generated and sent to the scheduling tracking unit; If the ratio between the potential scheduling interference coefficient Q and the preset potential scheduling interference coefficient threshold is greater than or equal to 1, a risk signal is generated; The scheduling failure risk assessment and analysis process is as follows: The operating performance value of each energy storage device in the target area in each sub-time period is obtained. The operating performance value represents the product of the maximum change value of the abnormal noise of the energy storage device and the maximum change value of the vibration amplitude after data normalization, and then the sum of the difference between the maximum operating temperature and the initial temperature after data normalization, to construct a set A of operating performance values, and set the difference between the maximum subset and the minimum subset in set A as the state risk value; Obtain the safe energy storage value of each energy storage device in the target area in each sub-time period. The safe energy storage value represents the product of the portion of the value corresponding to the environmental impact parameter of the energy storage device that exceeds the preset threshold and the duration after data normalization. The environmental impact parameters include the average temperature and the average dust concentration. The proportion of the number of sub-time periods corresponding to the safe energy storage value greater than the preset safe energy storage value threshold is set as the safety interference value; The state risk value and the safety interference value are compared and analyzed with the preset state risk value threshold and the preset safety interference value threshold that are recorded and stored internally: If the state risk value is less than the preset state risk value threshold, and the safety interference value is less than the preset safety interference value threshold, a stable signal is generated; If the state risk value is greater than or equal to the preset state risk value threshold, or the safety interference value is greater than or equal to the preset safety interference value threshold, then an interference signal is generated; The scheduling allocation optimization self-check feedback analysis process is as follows: T1: Obtain the dispatching management demand value of the energy storage equipment in the target area within the time threshold. The dispatching management demand value represents the ratio of the number of energy storage dispatches of the energy storage equipment to the average time interval between the number of energy storage dispatches after data normalization. Compare and analyze the dispatching management demand value with the stored preset dispatching management demand threshold, and set the part of the dispatching management demand value that is greater than the preset dispatching management demand value threshold as the management demand value; T2: Obtain the energy storage dispatching value corresponding to each energy storage dispatching number of the current energy storage device within the time threshold, establish a rectangular coordinate system with the energy storage dispatching number as the X-axis and the energy storage dispatching value as the Y-axis, draw the energy storage dispatching value curve by plotting points, set the area enclosed by the line segment of the energy storage dispatching value curve above the preset energy storage dispatching value curve and the preset energy storage dispatching value as the dispatching optimization coefficient, and label the management demand value and the dispatching optimization coefficient as GX and TD respectively; T3: According to the formula The dispatch management evaluation coefficient G is obtained, where a1 and a2 are the preset proportional factor coefficients of the management demand value and the dispatch optimization coefficient respectively, and a3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. The dispatch management evaluation coefficient G is compared and analyzed with the preset dispatch management evaluation coefficient threshold value stored in the internal entry: If the ratio between the scheduling management evaluation coefficient G and the preset scheduling management evaluation coefficient threshold is less than 1, a qualified signal is generated; If the ratio between the dispatch management evaluation coefficient G and the preset dispatch management evaluation coefficient threshold is greater than or equal to 1, a failure signal is generated; The regional dispatch management evaluation and analysis process is as follows: The number of energy storage devices corresponding to qualified signals within the time threshold is obtained, and the number of energy storage devices corresponding to unqualified signals within the time threshold is obtained at the same time. The ratio between the number of energy storage devices corresponding to unqualified signals and the number of energy storage devices corresponding to qualified signals is set as the regional scheduling coefficient, and the regional scheduling coefficient is compared and analyzed with the preset regional scheduling coefficient threshold value stored in the internal input: If the ratio between the regional scheduling coefficient and the preset regional scheduling coefficient threshold is less than or equal to 1, no signal is generated; If the ratio between the regional dispatch coefficient and the preset regional dispatch coefficient threshold is greater than 1, a regional optimization signal is generated, and the part of the regional dispatch coefficient that is greater than the preset regional dispatch coefficient threshold is set as the regional management value. At the same time, the regional dispatch coefficient of the target area within the historical m time thresholds is obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number as the X-axis and the regional dispatch coefficient as the Y-axis. The regional dispatch coefficient curve is drawn by plotting points, and the change value of the regional dispatch coefficient curve is set as the trend risk value. The regional management value QG and the trend risk value QS are substituted into the formula The regional dispatch matching coefficient is obtained, where α is the preset error factor coefficient, α is greater than zero, and H is the regional dispatch matching coefficient. The regional dispatch matching coefficient H is compared and analyzed with the preset regional dispatch matching coefficient interval stored in the internal input: If the regional scheduling matching coefficient H is greater than the maximum value in the preset regional scheduling matching coefficient interval, a first-level control signal is generated; if the regional scheduling matching coefficient H belongs to the preset regional scheduling matching coefficient interval, a second-level control signal is generated; if the regional scheduling matching coefficient H is less than the minimum value in the preset regional scheduling matching coefficient interval, a third-level control signal is generated.

2. An energy storage dispatching system, which is applied to an energy storage dispatching method according to claim 1, characterized in that: It includes energy storage dispatching platform, energy storage information unit, interference feedback assessment unit, obstruction supervision feedback unit, dispatch tracking unit, response management unit and regional management unit; When the energy storage dispatching platform generates an operation management instruction, the operation management instruction is sent to the energy storage information unit. After receiving the operation management instruction, the energy storage information unit immediately collects the dispatch interference data and dispatch obstruction data of the energy storage equipment in the target area. The dispatch interference data includes the energy storage loss value and the potential dispatch error value, and the dispatch obstruction data includes the state risk value and the safety interference value. The dispatch interference data and the dispatch obstruction data are sent to the interference feedback evaluation unit and the obstruction supervision feedback unit respectively. After receiving the dispatch interference data, the interference feedback evaluation unit immediately performs front-end dispatch interference supervision analysis on the dispatch interference data, sends the obtained normal signal to the dispatch tracking unit, and sends the obtained risk signal to the response management unit; After receiving the scheduling obstruction data, the obstruction supervision feedback unit immediately performs scheduling failure risk assessment and analysis on the scheduling obstruction data, sends the obtained stable signal to the scheduling tracking unit, and sends the obtained interference signal to the response management unit; After receiving the normal signal and the stable signal, the dispatch tracking unit immediately collects the dispatch data of the energy storage device, including the management demand value and the dispatch optimization coefficient, and performs dispatch allocation optimization self-check feedback analysis on the dispatch data, and sends the obtained qualified and unqualified signals to the response management unit and the regional management unit; After receiving the qualified signal and the unqualified signal, the regional management unit immediately conducts regional scheduling management evaluation and analysis, and sends the obtained first-level control signal, second-level control signal and third-level control signal to the response management unit.

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