Energy storage control system for new energy power generation consumption

Abstract

The invention relates to the technical field of energy storage control, and discloses an energy storage control system for new energy power generation absorption. Comprising the steps of calculating a consumption control period of an energy storage system, obtaining comprehensive energy consumption data of a power grid system in a control time period, predicting an electric energy consumption value of a next control time period, calculating a consumption demand value, and selecting a corresponding consumption control mode according to the total power generation amount and the consumption demand value. Controlling the new energy power generation system and the energy storage system to supply power to the power grid system; compared with the prior art, the method can provide a basis for analyzing and judging whether the power supply quantity of the power grid system is insufficient or not in the future, and reasonably formulates a corresponding consumption control mode and corresponding consumption power supply measures according to the total power generation quantity of the new energy power generation system. It is ensured that the new energy power generation system and the energy storage system can conduct electric energy dispatching operation on the power grid system in advance, and the phenomenon that the power grid system is insufficient in power supply in the future is prevented.

Description

Technical Field

[0001] The present invention relates to the field of energy storage control technology, and more specifically, to an energy storage control system for renewable energy power generation and consumption. Background Art

[0002] With the continuous advancement of renewable energy, the proportion of renewable energy power generation in the power system is also increasing. Due to the intermittent and volatile characteristics of renewable energy power generation, renewable energy power generation cannot accurately and stably meet the large electricity demand of the power grid system during peak periods, making the power grid system prone to insufficient power supply. Therefore, it is necessary to use renewable energy power generation to store energy and control the power grid system.

[0003] The patent application with reference publication number CN117293867A discloses an energy storage control system for renewable energy power generation and consumption. The energy storage configuration model of the renewable energy power generation and energy storage system is constructed, and the model is optimized based on the improved white bone crested chicken optimization algorithm to maximize the benefits. The optimization control of the renewable energy power generation and energy storage system is realized, and the multi-objective and nonlinear constraint problems in the energy storage configuration model are solved, the ability to optimize the configuration of renewable energy storage is improved, and the control accuracy and control efficiency are improved.

[0004] The existing energy storage control system analyzes the actual power supply situation of the power grid system by collecting real-time data that affects power supply and consumption in the energy storage system, thereby providing real-time data support for new energy power generation and consumption. For example, in the above-mentioned patent application, it collects real-time operation information of the new energy power generation and energy storage system, and performs corresponding optimization control of the new energy power generation and energy storage system according to the optimization result of the improved white-bone crested chicken algorithm, so as to achieve the real-time energy storage control effect of new energy power generation and consumption. Since the power grid system will be in a continuous and uninterrupted power supply state during normal operation, when the real-time analysis method is adopted, it is impossible to predict in advance the impending power supply shortage of the power grid system, so that it is impossible to perform energy storage control operations on new energy power generation and consumption before the power grid system is at a peak power consumption and the power supply shortage occurs, resulting in a lag in the energy storage control operation of new energy power generation, which makes the power grid system prone to abnormal power shortage during peak power consumption, reducing the energy storage control effect of the power grid system.

[0005] In view of this, the present invention proposes an energy storage control system for renewable energy power generation and consumption to solve the above problems. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned purpose, the present invention provides the following technical solution: an energy storage control system for renewable energy power generation and consumption, applied to an energy storage controller, comprising:

[0007] The cycle calculation module is used to obtain supply and distribution characteristics from the energy storage system and the power grid system. The supply and distribution characteristics include charge and discharge conversion time, power imbalance interval time and standard control time, and calculate the consumption control cycle of the energy storage system based on the supply and distribution characteristics;

[0008] The data acquisition module is used to divide the update control cycle into control periods based on the period division criteria, and obtain the comprehensive energy consumption data of the power grid system in the control period. The comprehensive energy consumption data includes the period type, temperature change value, high energy household added value, high electricity price duration and current balance rate;

[0009] The prediction and judgment module is used to input the real-time comprehensive energy consumption data into the trained power consumption prediction model, predict the power consumption value of the next control period, calculate the consumption demand value, and determine whether to perform the consumption control operation;

[0010] The mode selection module is used to obtain the total power generation of the new energy power generation system, calculate the consumption difference value according to the total power generation and the consumption demand value, and select the corresponding consumption control mode. The consumption control mode includes an independent consumption mode and a combined consumption mode;

[0011] The consumption control module is used to control the new energy power generation system and the energy storage system to supply power to the power grid system according to different consumption control modes, so as to achieve the purpose of energy storage control for the consumption of new energy power generation.

[0012] Furthermore, the method for obtaining the charge-discharge conversion time includes:

[0013] All charging and discharging events in the energy storage system are queried through the power database, the event attributes of all charging and discharging events are identified one by one, and the charging and discharging events with the event attribute of effective charging and discharging are recorded as target events, and A target events are obtained;

[0014] Query the time when the discharge information is first received in A target events one by one through the timestamp to obtain A demand times;

[0015] After A demand moments, when there is no more external discharge within the preset discharge time, the moment of the last external discharge is recorded as the end moment, and A end moments are obtained;

[0016] The duration between A demand moments and A end moments is recorded as a sub-duration, and the maximum value of the A sub-durations is recorded as the charge-discharge conversion duration.

[0017] Furthermore, the method for obtaining the power imbalance interval duration includes:

[0018] The real-time operating power of the power grid system is detected by a power sensor and recorded as the power supply power;

[0019] The lower limit of the operating power of the power grid system is found through the technical parameter table, and the power supply power less than the lower limit of the operating power is recorded as unbalanced power;

[0020] The time when the unbalanced power occurs in the power grid system is queried one by one through the timestamp, and B unbalanced time points are obtained. The time between the last unbalanced time point and the next unbalanced time point is recorded as the sub-interval time point, and B-1 sub-interval time points are obtained.

[0021] Remove the maximum and minimum values ​​of the sub-interval durations, and add up the remaining B-3 sub-interval durations and calculate the average to obtain the power imbalance interval duration;

[0022] The expression of power imbalance interval duration is:

[0023]

[0024] In the formula, SC sh is the power imbalance interval duration, SC jgb is the duration of the bth subinterval;

[0025] The expression of the consumption control period is:

[0026] ZQ xn =Sc bz +ρ 1 *SC cf -ρ 2 *SC sh ;

[0027] In the formula, ZQ xn To absorb the control cycle, SC bz is the standard control duration, SC cf is the charge-discharge conversion time, ρ 1 , 2 is a weight factor greater than 0.

[0028] Furthermore, the time period division criterion is: the duration of each control period is equal, and the end time of the previous control period and the start time of the next control period are adjacent times;

[0029] Time period types include peak period, off-peak period and off-peak period.

[0030] Furthermore, the method for obtaining the added value of high-energy households includes:

[0031] The power consumption of all power users in the power grid system is queried one by one through the power database, and the basic power consumption of the power grid system is queried through the technical parameter table. The real-time power consumption is obtained by subtracting the user power consumption from the basic power consumption;

[0032] The expression of real-time power consumption is:

[0033] YD ss =YD yh -YD jc ;

[0034] In the formula, YD ss is the real-time power consumption, YD yh For user electricity consumption, YD jc As the basic electricity consumption;

[0035] Compare the real-time power consumption with the high power consumption threshold, and record the power users whose real-time power consumption is greater than the high power consumption threshold as high-energy users;

[0036] At the start and end times of D control periods, the number of high-energy households in the power grid system is counted respectively to obtain D start values ​​and D end values;

[0037] After subtracting the D ending values ​​from the D starting values, we can obtain the added values ​​of D high-energy households;

[0038] The expression of added value of high-energy households is:

[0039] GN zid =ZZ zd -OS zd ;

[0040] Where, GN zjd is the added value of high-energy households in the dth control period, d=1,2...D,ZZ zd is the end value of the dth control period, QS zd is the starting value of the dth control period.

[0041] Furthermore, the method for obtaining the current balancing rate includes:

[0042] The branch currents of C load branches in the power grid system are detected in real time by using a current sensor, and the supply current is obtained by accumulating the C branch currents one by one;

[0043] The supply current between the current lower limit value and the current upper limit value is recorded as the balancing current, and the moments when the balancing current appears are marked one by one in the control period and recorded as the balancing moments;

[0044] After accumulating all the balancing moments in the D control periods in sequence, D balancing durations are obtained, and after comparing the D balancing durations with the durations of the control periods respectively, D current balancing rates are obtained;

[0045] The expression of current balancing rate is:

[0046]

[0047] In the formula, DL jhdis the current balancing rate in the dth control period, SC jhd is the equilibrium duration of the dth control period, SC sd The duration of the control period.

[0048] Furthermore, the training method of the power consumption prediction model includes:

[0049] Collect multiple sets of comprehensive energy consumption data and electric energy consumption values ​​corresponding to the comprehensive energy consumption data in advance, and number the time period types;

[0050] The comprehensive energy consumption data is converted into multiple feature vectors using a sliding window method, and the electric energy consumption value is converted into a label corresponding to the comprehensive energy consumption data according to the sliding step. One feature vector corresponds to one label and constitutes a set of training data. Multiple sets of training data constitute a training set. The comprehensive energy consumption data are arranged in the order of collection time, and the prediction time step Q, sliding step W and sliding window length Y are preset;

[0051] The feature vector is used as the input of the model, the electric energy consumption value of the next control period after the predicted time step Q is used as the output, the subsequent electric energy consumption value of each training set is used as the prediction target, and the model is trained with the minimized sum of prediction errors as the training target to generate an electric energy consumption prediction model that predicts the electric energy consumption value of the next control period based on the comprehensive energy consumption data of the previous control period.

[0052] Furthermore, the method for determining whether to perform the consumption control operation includes:

[0053] The consumption demand value is obtained by subtracting the predicted power consumption value of the next control period from the maximum power supply value;

[0054] The expression of the consumption demand value is:

[0055] XN xq =XH yc -GJ zd ;

[0056] In the formula, XN xq To absorb the demand value, XH yc is the predicted power consumption value of the next control period, GJ zd is the maximum power supply value;

[0057] When XN xq When it is greater than 0, it is determined to execute the consumption control operation;

[0058] When XN xq When it is less than or equal to 0, it is determined that the consumption control operation is not performed.

[0059] Furthermore, the calculation method of the consumption difference value includes:

[0060] The sub-power generation of E new energy power stations is counted through the power database, and the total power generation is generated by accumulating the E sub-power generation one by one;

[0061] The expression of total power generation is:

[0062]

[0063] Where, FD zl is the total power generation, FD ze is the e-th sub-generation capacity;

[0064] After subtracting the total power generation from the consumption demand value, the consumption difference value is obtained;

[0065] The expression of the difference value is:

[0066] XN ce =FD zl -XN xq ;

[0067] In the formula, XN ce is the difference value absorbed;

[0068] The selection methods of independent consumption mode and combined consumption mode include:

[0069] When XN ce When it is greater than or equal to 0, select the independent consumption mode;

[0070] When XN ce When it is less than 0, the combined consumption mode is selected.

[0071] Furthermore, the control method for supplying power to the power grid system includes:

[0072] When the independent consumption mode is selected, the electric energy in the renewable energy power generation system is dispatched to the power grid system until the consumption demand value is equal to 0, and the electric energy dispatch is stopped, and the remaining electric energy in the renewable energy power generation system is all dispatched to the energy storage system for storage;

[0073] When the combined dispatch mode is selected, first, all the electric energy in the renewable energy power generation system is dispatched to the power grid system, and then part of the electric energy in the energy storage system is dispatched to the power grid system, until the power dispatch is stopped when the absorption demand value is equal to 0.

[0074] The technical effects and advantages of the energy storage control system for renewable energy generation and consumption of the present invention are as follows:

[0075] The present invention obtains supply and distribution characteristics from the energy storage system and the power grid system, and calculates the absorption control period of the energy storage system, which can not only avoid the negative interference of a large amount of useless data on the absorption control period calculation, but also improve the calculation accuracy of the absorption control period, thereby clarifying the collection time range of relevant data for subsequent new energy power generation absorption and storage control, ensuring the rationality and accuracy of relevant data collection, and by obtaining the comprehensive energy consumption data of the power grid system in the control period, combining the power consumption prediction model to predict the power consumption value of the power grid system at future times, which can provide a basis for analysis and judgment on whether the power grid system will have insufficient power supply at future times, and reasonably formulate the corresponding absorption control mode and corresponding absorption power supply measures according to the total power generation of the new energy power generation system, ensuring that the new energy power generation system and the energy storage system can perform early and accurate power dispatch operations to the power grid system, preventing the power grid system from having insufficient power supply in the future, thereby realizing the effect of the energy storage system on the absorption control of new energy during the peak power consumption of the power grid, and finally achieving the purpose of optimizing power storage and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 A schematic diagram of the architecture of an energy storage control system for renewable energy power generation and consumption provided in the first embodiment of the present invention;

[0077] Figure 2 A schematic diagram of a module of an energy storage control system for renewable energy power generation and consumption provided in the first embodiment of the present invention;

[0078] Figure 3 A schematic flow chart of an energy storage control method for renewable energy power generation and consumption provided in the second embodiment of the present invention;

[0079] Figure 4 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0080] 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.

[0081] Example 1: Please refer to Figure 1 and Figure 2 As shown, the energy storage control system for renewable energy power generation and consumption described in this embodiment is applied to an energy storage controller, including:

[0082] The cycle calculation module obtains the supply and distribution characteristics from the energy storage system and the power grid system, and calculates the consumption control cycle of the energy storage system based on the supply and distribution characteristics;

[0083] Energy storage system refers to an energy storage system that can receive and store the electric energy generated by various types of renewable energy power generation activities, and dispatch the stored electric energy to the power grid system in an orderly manner as needed to provide it to electricity users, thereby achieving the effect of transfer bridging between renewable energy power generation systems and power grid systems;

[0084] The supply and distribution characteristics are used to determine the data that can affect the duration of subsequent energy storage system consumption operations in the energy storage system and the power grid system, and provide an accurate data basis for subsequent consumption control cycles.

[0085] The supply and distribution characteristics include the charge and discharge conversion time, the power imbalance interval time and the standard control time;

[0086] The charge-discharge conversion time refers to the maximum time required for the energy storage system to convert the stored electric energy from the storage state to the discharge state, which can be used to represent the charge-discharge conversion time of the energy storage system. The longer the charge-discharge conversion time is, the longer the corresponding time of the energy storage system's consumption operation is, and the longer the consumption control cycle is.

[0087] Methods for obtaining the charge-discharge conversion time include:

[0088] All charging and discharging events in the energy storage system are queried through the power database, and the event attributes of all charging and discharging events are identified one by one. The charging and discharging events with the event attribute of effective charging and discharging are recorded as target events to obtain A target events. The charging and discharging events are events used to record the charging and discharging process in the energy storage system, so as to represent the relevant data of charging and discharging. The event attributes are used to represent whether the charging and discharging events have been safety certified. The event attributes include effective charging and discharging and invalid charging and discharging. Effective charging and discharging means that the charging and discharging events have passed the safety certification, and the data in the event can be reasonably retrieved and used. Invalid charging and discharging means that the charging and discharging events have not passed the safety certification, and the data in the event cannot be reasonably retrieved and used.

[0089] Query the time when the discharge information is first received in A target events one by one through the timestamp to obtain A demand times;

[0090] After A demand moments, when there is no more outward discharge within the preset discharge time, the moment of the last outward discharge is recorded as the end moment, and A end moments are obtained; the preset discharge time refers to the maximum discharge interruption time allowed during the outward discharge process, which can represent the interruption time of the outward discharge, thereby improving the accuracy of the end moment;

[0091] The duration between A demand moments and A end moments is recorded as a sub-duration, and the maximum value of the A sub-durations is recorded as the charge-discharge conversion duration.

[0092] The power imbalance interval refers to the interval between two power supply imbalance phenomena in the power grid system, which can be used to indicate the stability of the power supply of the power grid system. When the power imbalance interval is longer, the corresponding duration of the energy storage system's absorption operation is shorter, and the absorption control cycle is shorter.

[0093] Methods for obtaining the power imbalance interval duration include:

[0094] The real-time operating power of the power grid system is detected by a power sensor and recorded as the power supply power;

[0095] The lower limit of the operating power of the power grid system is found through the technical parameter table, and the power supply power that is less than the lower limit of the operating power is recorded as unbalanced power; the lower limit of the operating power is used to represent the lowest safe operating power in the power grid system, thereby providing a limiting basis for the minimum value of the power supply power;

[0096] The time when the unbalanced power occurs in the power grid system is queried one by one through the timestamp, and B unbalanced time points are obtained. The time between the last unbalanced time point and the next unbalanced time point is recorded as the sub-interval time point, and B-1 sub-interval time points are obtained.

[0097] Remove the maximum and minimum values ​​of the sub-interval durations, and add up the remaining B-3 sub-interval durations and calculate the average to obtain the power imbalance interval duration;

[0098] The expression of power imbalance interval duration is:

[0099]

[0100] In the formula, SC sh is the power imbalance interval duration, SC jgb is the duration of the bth subinterval.

[0101] Standard control time refers to the standard data used in the energy storage system to represent the shortest duration of the consumption control of renewable energy power generation, which can be used as the basis for the subsequent calculation of the consumption control cycle, so that the standard control time can be effectively combined with the charge and discharge conversion time and the power imbalance interval time; the standard control time is obtained by querying the technical parameter table of the energy storage system.

[0102] The consumption control cycle is used to control the longest operation time of the energy storage system when consuming renewable energy power generation, and is used as the limited time for data collection during subsequent consumption operations on the power grid system, thereby ensuring the rationality of subsequent data collection;

[0103] The expression of the consumption control period is:

[0104] ZQ xn =SC bz +ρ 1 *SC cf -ρ 2 *SC sh ;

[0105] In the formula, ZQ xn To absorb the control cycle, SC bz is the standard control duration, SC cf is the charge-discharge conversion time, ρ 1 , 2 is a weight factor greater than 0;

[0106] Among them, ρ 1 +ρ 2 =1,ρ 1 , 2 The setting is to balance the impact of the charge-discharge conversion time and the power imbalance interval time in the consumption control cycle, which can ensure that the changes in the charge-discharge conversion time and the power imbalance interval time can cause corresponding changes in the consumption control cycle, thereby improving the accuracy of the consumption control cycle.

[0107] The data acquisition module divides the update control cycle into control periods based on the period division criteria, and obtains the comprehensive energy consumption data of the power grid system in the control period. The comprehensive energy consumption data includes the period type, temperature change value, added value of high-energy households, high electricity price duration and current balance rate;

[0108] After the consumption control cycle is obtained, the time span corresponding to the consumption control cycle at this time is relatively large, and the types and quantities of various data contained in the consumption control cycle are also relatively large, which makes the evaluation and analysis process of the energy storage system for the new energy power generation and consumption operation in the consumption control cycle relatively broad, resulting in a relatively rough operation of the new energy power generation and consumption. In order to reduce the type and quantity of data in each time period, and to achieve the refined operation of the new energy power generation and consumption, it is necessary to divide the consumption control cycle into D control periods with a smaller time span; illustratively, when the consumption control cycle is 24 hours, the control period is 1 hour, and when the consumption control cycle is 1 hour, the control period is 10 minutes; when the consumption control cycle is divided into control periods, it is necessary to be carried out under the restriction of the period division criterion to ensure that the duration corresponding to each control period is equal, and adjacent control periods are continuous on the timeline;

[0109] In summary, the time period division criteria are: the duration of each control period is equal, and the end time of the previous control period and the start time of the next control period are adjacent times; the start time refers to the first time in the control period, and the end time refers to the last time in the control period, thereby ensuring the continuity of two adjacent control periods.

[0110] Comprehensive energy consumption data refers to the relevant data that can affect the total amount of power consumption of the power grid system during the control period, and can serve as the basis for subsequent judgment on whether the energy storage system should absorb new energy power generation and consumption into the power grid system;

[0111] Comprehensive energy consumption data include time period type, temperature change value, added value of high-energy households, duration of high electricity prices and current balance rate;

[0112] The time period type refers to the different states of the power grid system in each control time period when the power consumption of the power users is at the peak, flat or valley level. The power consumption type of each control time period can be represented, and the power grid system will correspond to different power consumption when it is in different time period types. For example, when the control time period is at the peak power consumption, the power consumption of the power users in the power grid system will be greater, and the power demand on the power grid system will be greater. When the control time period is at the valley power consumption, the power consumption of the power users in the power grid system will be smaller, and the power demand on the power grid system will be smaller. The time period types include peak time periods, flat time periods and valley time periods. The time period types are obtained by querying the time points of D control time periods.

[0113] The temperature change value refers to the difference between the maximum value and the minimum value of the ambient temperature of the power grid system in different control periods, which can be used to numerically represent the ambient temperature change of the power grid system in different control periods. When the temperature change value is larger, the electricity users in the power grid system need to consume more electricity for heating operations, and the power demand for the power grid system is greater; the temperature change value is obtained by detecting the maximum value and the minimum value of the ambient temperature in D control periods through the temperature sensor, and calculating the difference between them.

[0114] The added value of high-energy households refers to the increase in the number of electricity users in a high-power consumption state in different control periods of the power grid system, which can be used to represent the number of high-energy electricity users corresponding to different control periods. The greater the added value of high-energy households, the more the number of electricity users in a high-power consumption state increases, and the greater the demand for electricity in the power grid system.

[0115] The methods for obtaining the added value of high-energy households include:

[0116] The power consumption of all power users in the power grid system is queried one by one through the power database, and the basic power consumption of the power grid system is queried through the technical parameter table. The real-time power consumption is obtained by subtracting the user power consumption from the basic power consumption. The basic power consumption refers to the power consumption required for the power grid system to achieve the most basic safe operation, so that the basic power consumption can represent the power consumption of the power grid system itself;

[0117] The expression of real-time power consumption is:

[0118] YD ss =YD yh -YD jc ;

[0119] In the formula, YD ss is the real-time power consumption, YD yh For user electricity consumption, YD jc As the basic electricity consumption;

[0120] The real-time power consumption is compared with the high power consumption threshold, and the power users whose real-time power consumption is greater than the high power consumption threshold are recorded as high-power users; the high power consumption threshold refers to the maximum power consumption of the power users in the power grid system within a certain period of time, and serves as the basis for identifying high-power users; the high power consumption threshold is obtained by collecting the maximum power consumption of a large number of power users identified as high-power users in history and calculating their average value;

[0121] At the start and end times of D control periods, the number of high-energy households in the power grid system is counted respectively to obtain D start values ​​and D end values;

[0122] After subtracting the D ending values ​​from the D starting values, we can obtain the added values ​​of D high-energy households;

[0123] The expression of added value of high-energy households is:

[0124] GN zid =ZZ zd -QS zd ;

[0125] Where, GN zjd is the added value of high-energy households in the dth control period, d=1,2...D,ZZ zd is the end value of the dth control period, QS zd is the starting value of the dth control period.

[0126] The duration of high electricity prices refers to the duration when the electricity price of the power grid system is at a high price during different control time periods, which can be used to represent the duration corresponding to the high electricity price in different control time periods. When the duration of high electricity prices is longer, the unit price of electricity used by electricity users in the power grid system is higher, and the electricity demand of electricity users for the power grid system is smaller. The duration of high electricity prices is obtained by querying the duration corresponding to the high unit electricity price in D control time periods.

[0127] The current balancing rate refers to the ratio of the duration of the power grid system providing dynamic balanced power supply to the power user in different control periods to the total duration, which can be used to represent the power supply current of the power grid system in different control periods. The larger the current balancing rate, the longer the duration of dynamic balanced power supply, and the greater the power demand of the power user for the power grid system.

[0128] The method for obtaining the current balancing rate includes:

[0129] The branch currents of C load branches in the power grid system are detected in real time by using a current sensor, and the supply current is obtained by accumulating the C branch currents one by one;

[0130] The supply current between the lower current limit and the upper current limit is recorded as the balancing current, and the moments when the balancing current appears are marked one by one in the control period and recorded as the balancing moment; the lower current limit and the upper current limit refer to the minimum and maximum values ​​of the supply current identified as the balancing current, which can provide a limited value for the size range of the balancing current to ensure the accuracy of subsequent identification of the balancing current;

[0131] After accumulating all the balancing moments in the D control periods in sequence, D balancing durations are obtained, and after comparing the D balancing durations with the durations of the control periods respectively, D current balancing rates are obtained;

[0132] The expression of current balancing rate is:

[0133]

[0134] In the formula, DL jhd is the current balancing rate in the dth control period, SC jhd is the equilibrium duration of the dth control period, SC sd The duration of the control period.

[0135] The prediction and judgment module inputs the real-time comprehensive energy consumption data into the trained power consumption prediction model, predicts the power consumption value of the next control period, calculates the consumption demand value, and determines whether to perform the consumption control operation;

[0136] After obtaining the real-time comprehensive energy consumption data, the real-time comprehensive energy consumption data can be input into the electric energy consumption prediction model, so that the electric energy consumption prediction model can quickly and accurately predict the electric energy consumption value of the next control period according to the input comprehensive energy consumption data, and then make the electric energy consumption value the basis for subsequent new energy power generation and consumption;

[0137] The electric energy consumption value is the electricity consumption in the power grid system corresponding to the time period type, temperature change value, added value of high-energy households, duration of high electricity prices and current balancing rate, and serves as the output value of the electric energy consumption prediction model; the electric energy consumption value is obtained by collecting the electricity consumption of the power grid system under the time period type, temperature change value, added value of high-energy households, duration of high electricity prices and current balancing rate through the electric energy meter.

[0138] The power consumption prediction model is a machine learning model trained based on a large number of historical time period types, temperature change values, high-energy household added value, high electricity price duration, current balance rate and corresponding power consumption values;

[0139] The training method of the power consumption prediction model includes:

[0140] Collect multiple sets of comprehensive energy consumption data and electric energy consumption values ​​corresponding to the comprehensive energy consumption data in advance, and number the time period types. For example, the peak time period is numbered as 1, the flat time period is numbered as 2, and the valley time period is numbered as 3;

[0141] The comprehensive energy consumption data is converted into multiple feature vectors using a sliding window method, and the electric energy consumption value is converted into a label corresponding to the comprehensive energy consumption data according to the sliding step. One feature vector corresponds to one label and constitutes a set of training data. Multiple sets of training data constitute a training set. The comprehensive energy consumption data are arranged in the order of collection time, and the prediction time step Q, sliding step W and sliding window length Y are preset;

[0142] The feature vector is used as the input of the model, the electric energy consumption value of the next control period after the predicted time step Q is used as the output, the subsequent electric energy consumption value of each training set is used as the prediction target, and the model is trained with the minimized sum of prediction errors as the training target to generate an electric energy consumption prediction model that predicts the electric energy consumption value of the next control period based on the comprehensive energy consumption data of the previous control period.

[0143] Exemplarily, the power consumption prediction model adopts any one of CNN or AlexNet;

[0144] The calculation formula for the prediction error is:

[0145] zk=(ak-wk) 2 ;

[0146] Where zk is the prediction error, k is the group number of the feature vector; ak is the predicted state value corresponding to the kth group of feature vectors, and wk is the actual state value corresponding to the kth group of training data;

[0147] Exemplarily, a simple example of the sliding window method is as follows: assuming that you want to use comprehensive energy consumption data (Q11, Q22, Q33, Q44, Q55) to train a time prediction model to predict the value of one time step in the future, you can use a sliding window of length 3 and a sliding step of length 1 to generate a predicted future training set and prediction target. For example: the training set is (Q11, Q22, Q33) and (Q22, Q33, Q44), and the prediction target is (E44) and (E55), E44 is the electric energy consumption value corresponding to the comprehensive energy consumption data of the next control period of the control period where Q33 is located, and E55 is the electric energy consumption value corresponding to the comprehensive energy consumption data of the next control period of the control period where Q44 is located.

[0148] After predicting the power consumption value of the next control period, it is necessary to compare and analyze the predicted power consumption value, so as to calculate the consumption demand value, and determine whether to perform the consumption control operation according to the consumption demand value. The execution of the consumption control operation is an operation that the power grid system performs only when the power supply in the next control period is insufficient.

[0149] The determination method of whether to perform the consumption control operation includes:

[0150] The consumption demand value is obtained by subtracting the predicted power consumption value of the next control period from the maximum power supply value; the maximum power supply value refers to the maximum amount of electricity that the energy storage system can provide to the power grid system, which is obtained by querying the power database;

[0151] The expression of the consumption demand value is:

[0152] XN xq =XH yc -GJ zd ;

[0153] In the formula, XN xq To absorb the demand value, XH yc is the predicted power consumption value of the next control period, GJ zd is the maximum power supply value;

[0154] When XN xq When it is greater than 0, it means that the predicted power consumption value of the next control period is greater than the maximum power supply value. At this time, the power grid system will have a great power consumption in the next control period, and the power grid system will have insufficient power supply in the future, so it is determined to perform the consumption control operation;

[0155] When XN xq When it is less than or equal to 0, it means that the predicted electric energy consumption value of the next control period is less than or equal to the maximum electric energy supply value. At this time, the power grid system will not have a huge power consumption in the next control period, and the power grid system will not have insufficient power supply in the future. It is determined that the absorption control operation will not be performed.

[0156] The mode selection module obtains the total power generation of the new energy power generation system, calculates the consumption difference value according to the total power generation and the consumption demand value, and selects the corresponding consumption control mode; the consumption control mode includes independent consumption mode and combined consumption mode;

[0157] When performing the absorption control operation, it is necessary to obtain the total power generation of the renewable energy power generation system. The total power generation refers to the overall power generation of all power generation equipment in the renewable energy power generation system, including but not limited to solar power generation, hydropower generation, wind power generation, etc., so as to provide power to the power grid system as a supplier and realize the absorption operation of renewable energy power generation;

[0158] The consumption difference value refers to the difference between the total power generation and the consumption demand value, and serves as the basis for subsequent different consumption operations on renewable energy power generation;

[0159] The calculation method of the consumption difference value includes:

[0160] The sub-power generation of E new energy power stations is counted through the power database, and the total power generation is generated by accumulating the E sub-power generation one by one;

[0161] The expression of total power generation is:

[0162]

[0163] Where, FD zl is the total power generation, FD ze is the e-th sub-generation capacity;

[0164] After subtracting the total power generation from the consumption demand value, the consumption difference value is obtained;

[0165] The expression of the difference value is:

[0166] XN ce =FD zl -XN xq ;

[0167] In the formula, XN ce It is the difference value absorbed.

[0168] When the consumption difference value is calculated, the subsequent consumption control mode can be selected according to the size of the consumption difference value, so that different consumption control modes can correspond to different consumption control means, thereby providing guidance for subsequent specific consumption means;

[0169] The consumption control mode includes independent consumption mode and combined consumption mode; the independent consumption mode refers to the operation of supplying power to the power grid system only through the electric energy of the new energy power generation system, and does not need to be combined with the energy storage system for power supply and consumption; the combined consumption mode refers to the operation of supplying power to the power grid system through the electric energy of the new energy power generation system and the energy storage system, and needs to be combined with the energy storage system for power supply and consumption;

[0170] The selection methods of independent consumption mode and combined consumption mode include:

[0171] When XN ce When it is greater than or equal to 0, the total power generation of the new energy power generation system is greater than or equal to the consumption demand value, and the new energy power generation system can independently supply power to the power grid system for consumption, and the independent consumption mode is selected;

[0172] When XN ce When it is less than 0, the total power generation of the new energy power generation system is less than the consumption demand value. In this case, the new energy power generation system cannot independently supply power to the power grid system for consumption, and needs to cooperate with the energy storage system for power supply and consumption. In this case, the combined consumption mode is selected.

[0173] The consumption control module controls the new energy power generation system and the energy storage system to supply power to the power grid system according to different consumption control modes, so as to achieve the purpose of energy storage control for the consumption of new energy power generation;

[0174] When the independent consumption mode is selected, it is only necessary to supply and consume the electric energy generated in the new energy power generation system to the power grid system separately, so as to achieve the independent consumption effect of new energy power generation; when the combined consumption mode is selected, it is necessary to supply and consume the electric energy generated in the new energy power generation system and the energy storage system to the power grid system in combination, so as to achieve the combined consumption effect of new energy power generation, thereby finally achieving the purpose of energy storage control of new energy power generation consumption, ensuring that the power grid system can maintain the dynamic balance of power supply, and improving the rationality of power storage and use, which greatly improves the utilization rate of power;

[0175] The control method for supplying power to the grid system includes:

[0176] When the independent consumption mode is selected, it is only necessary to supply the electric energy generated by the renewable energy power generation system to the power grid system independently. The electric energy in the renewable energy power generation system will be dispatched to the power grid system until the consumption demand value is equal to 0, and the electric energy dispatch will be stopped. The remaining electric energy in the renewable energy power generation system will be dispatched to the energy storage system for storage.

[0177] When the combined dispatching mode is selected, the electric energy in the renewable energy power generation system and the energy storage system needs to be combined to supply power to the power grid system. First, all the electric energy in the renewable energy power generation system is dispatched to the power grid system, and then part of the electric energy in the energy storage system is dispatched to the power grid system until the demand value is equal to 0, and then the electric energy dispatching is stopped.

[0178] Through the independent or combined power dispatching operation of renewable energy power generation system and energy storage system, efficient and accurate control of renewable energy power generation can be achieved, ensuring that the power supply on the power grid system can meet the power demand during peak hours, thereby realizing the effect of energy storage system on renewable energy control during peak power consumption of the power grid, and ultimately achieving the purpose of optimizing power storage and use.

[0179] In this embodiment, by obtaining supply and distribution characteristics from the energy storage system and the power grid system and calculating the absorption control period of the energy storage system, it is possible to avoid the negative interference of a large amount of useless data on the absorption control period calculation, and at the same time improve the calculation accuracy of the absorption control period, thereby clarifying the collection time range of relevant data for subsequent new energy power generation absorption and storage control, ensuring the rationality and accuracy of relevant data collection, and by obtaining the comprehensive energy consumption data of the power grid system in the control period, combined with the power consumption prediction model to predict the power consumption value of the power grid system at future times, it is possible to provide a basis for analysis and judgment on whether the power grid system will have insufficient power supply at future times, and reasonably formulate the corresponding absorption control mode and corresponding absorption power supply measures according to the total power generation of the new energy power generation system, ensuring that the new energy power generation system and the energy storage system can perform power dispatch operations to the power grid system in advance, preventing the power grid system from having insufficient power supply at future times, thereby realizing the effect of the energy storage system on the absorption control of new energy during the peak power consumption of the power grid, and ultimately achieving the purpose of optimizing power storage and use.

[0180] Example 2: Please refer to Figure 3 As shown, the part not described in detail in this embodiment is described in the first embodiment, and a method for controlling energy storage for renewable energy power generation and consumption is provided, which is applied to an energy storage controller and is implemented based on an energy storage control system for renewable energy power generation and consumption, including:

[0181] S1: Obtain supply and distribution characteristics from the energy storage system and the power grid system. The supply and distribution characteristics include charge and discharge conversion time, power imbalance interval time and standard control time. Calculate the consumption control period of the energy storage system based on the supply and distribution characteristics.

[0182] S2: Based on the time period division criterion, the update control cycle is divided into control periods, and the comprehensive energy consumption data of the power grid system in the control period is obtained. The comprehensive energy consumption data includes the period type, temperature change value, high energy household added value, high electricity price duration and current balance rate;

[0183] S3: Input the real-time comprehensive energy consumption data into the trained power consumption prediction model, predict the power consumption value of the next control period, calculate the consumption demand value, and determine whether to perform the consumption control operation;

[0184] S4: If the consumption control operation is performed, the total power generation of the new energy power generation system is obtained, the consumption difference value is calculated according to the total power generation and the consumption demand value, and the corresponding consumption control mode is selected. The consumption control mode includes an independent consumption mode and a combined consumption mode;

[0185] S5: According to different consumption control modes, the new energy power generation system and the energy storage system are controlled to supply power to the power grid system, so as to achieve the purpose of energy storage control for the consumption of new energy power generation.

[0186] Example 3: Please refer to Figure 4 As shown, this embodiment discloses an electronic device, including a processor and a memory;

[0187] Wherein, the memory stores a computer program that can be called by the processor;

[0188] The processor executes the energy storage control method for new energy power generation and consumption by calling the computer program stored in the memory.

[0189] Since the electronic device introduced in this embodiment is an electronic device used to implement a storage control method for renewable energy power generation and consumption in the second embodiment of this application, based on the storage control method for renewable energy power generation and consumption introduced in the embodiment of this application, the technical personnel of this field can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of this application is not described in detail here. As long as the technical personnel of this field implement the electronic device used in the storage control method for renewable energy power generation and consumption in the embodiment of this application, it belongs to the scope of protection of this application.

[0190] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An energy storage control system for renewable energy generation and consumption, applied to an energy storage controller, characterized in that: include: The cycle calculation module is used to obtain supply and distribution characteristics from the energy storage system and the power grid system. The supply and distribution characteristics include charge and discharge conversion time, power imbalance interval time and standard control time, and calculate the consumption control cycle of the energy storage system based on the supply and distribution characteristics; The data acquisition module is used to divide the update control cycle into control periods based on the period division criteria, and obtain the comprehensive energy consumption data of the power grid system in the control period. The comprehensive energy consumption data includes the period type, temperature change value, high energy household added value, high electricity price duration and current balance rate; The prediction and judgment module is used to input the real-time comprehensive energy consumption data into the trained power consumption prediction model, predict the power consumption value of the next control period, calculate the consumption demand value, and determine whether to perform the consumption control operation; The mode selection module is used to obtain the total power generation of the new energy power generation system, calculate the consumption difference value according to the total power generation and the consumption demand value, and select the corresponding consumption control mode. The consumption control mode includes an independent consumption mode and a combined consumption mode; The consumption control module is used to control the new energy power generation system and the energy storage system to supply power to the power grid system according to different consumption control modes, so as to achieve the purpose of energy storage control for the consumption of new energy power generation.

2. The energy storage control system for renewable energy generation and consumption according to claim 1, characterized in that: Methods for obtaining the charge-discharge conversion time include: All charging and discharging events in the energy storage system are queried through the power database, the event attributes of all charging and discharging events are identified one by one, and the charging and discharging events with the event attribute of effective charging and discharging are recorded as target events, and A target events are obtained; The time when the discharge information is first received in A target events is queried one by one through the timestamp to obtain A demand times; After A demand moments, when there is no more external discharge within the preset discharge time, the moment of the last external discharge is recorded as the end moment, and A end moments are obtained; The duration between A demand moments and A end moments is recorded as a sub-duration, and the maximum value of the A sub-durations is recorded as the charge-discharge conversion duration.

3. The energy storage control system for renewable energy power generation and consumption according to claim 2, characterized in that: Methods for obtaining the power imbalance interval duration include: The real-time operating power of the power grid system is detected by a power sensor and recorded as the power supply power; The lower limit of the operating power of the power grid system is found through the technical parameter table, and the power supply power less than the lower limit of the operating power is recorded as unbalanced power; The time when the unbalanced power occurs in the power grid system is queried one by one through the timestamp, and B unbalanced time points are obtained. The time between the last unbalanced time point and the next unbalanced time point is recorded as the sub-interval time point, and B-1 sub-interval time points are obtained. Remove the maximum and minimum values ​​of the sub-interval durations, and add up the remaining B-3 sub-interval durations and calculate the average to obtain the power imbalance interval duration; The expression of power imbalance interval duration is: In the formula, SC sh is the power imbalance interval duration, SC jgb is the duration of the bth subinterval; The expression of the consumption control period is: ZQ xn =SC bz +ρ1*SC cf -ρ2*SC sh ; In the formula, ZQ xn To absorb the control cycle, SC bz is the standard control duration, SC cf is the charge-discharge conversion time, ρ1 and ρ2 are weight factors greater than 0.

4. The energy storage control system for renewable energy generation and consumption according to claim 3, characterized in that: The time period division criteria are: the duration of each control period is equal, and the end time of the previous control period and the start time of the next control period are adjacent times; Time period types include peak period, off-peak period and off-peak period.

5. The energy storage control system for renewable energy generation and consumption according to claim 4, characterized in that: The methods for obtaining the added value of high-energy households include: The power consumption of all power users in the power grid system is queried one by one through the power database, and the basic power consumption of the power grid system is queried through the technical parameter table. The real-time power consumption is obtained by subtracting the user power consumption from the basic power consumption; The expression of real-time power consumption is: YD ss =YD yh - YD jc ; In the formula, YD ss is the real-time power consumption, YD yh For user electricity consumption, YD jc As the basic electricity consumption; Compare the real-time power consumption with the high power consumption threshold, and record the power users whose real-time power consumption is greater than the high power consumption threshold as high-energy users; At the start and end times of D control periods, the number of high-energy households in the power grid system is counted respectively to obtain D start values ​​and D end values; After subtracting the D ending values ​​from the D starting values, we can obtain the added values ​​of D high-energy households; The expression of added value of high-energy households is: GN zjd =ZZ zd -QS zd ; Where, GN zjd is the added value of high-energy households in the dth control period, d=1,2...D,ZZ zd is the end value of the dth control period, QS zd is the starting value of the dth control period.

6. The energy storage control system for renewable energy power generation and consumption according to claim 5, characterized in that: The method for obtaining the current balancing rate includes: The branch currents of C load branches in the power grid system are detected in real time by using a current sensor, and the supply current is obtained by accumulating the C branch currents one by one; The supply current between the current lower limit value and the current upper limit value is recorded as the balancing current, and the moments when the balancing current appears are marked one by one in the control period and recorded as the balancing moments; After accumulating all the balancing moments in the D control periods in sequence, D balancing durations are obtained, and after comparing the D balancing durations with the durations of the control periods respectively, D current balancing rates are obtained; The expression of current balancing rate is: In the formula, DL jhd is the current balancing rate in the dth control period, SC jhd is the equilibrium duration of the dth control period, SC sd The duration of the control period.

7. The energy storage control system for renewable energy power generation and consumption according to claim 6, characterized in that: The training method of the power consumption prediction model includes: Collect multiple sets of comprehensive energy consumption data and electric energy consumption values ​​corresponding to the comprehensive energy consumption data in advance, and number the time period types; The comprehensive energy consumption data is converted into multiple feature vectors using a sliding window method, and the electric energy consumption value is converted into a label corresponding to the comprehensive energy consumption data according to the sliding step. One feature vector corresponds to one label and constitutes a set of training data. Multiple sets of training data constitute a training set. The comprehensive energy consumption data are arranged in the order of collection time, and the prediction time step Q, sliding step W and sliding window length Y are preset; The feature vector is used as the input of the model, the electric energy consumption value of the next control period after the predicted time step Q is used as the output, the subsequent electric energy consumption value of each training set is used as the prediction target, and the model is trained with the minimized sum of prediction errors as the training target to generate an electric energy consumption prediction model that predicts the electric energy consumption value of the next control period based on the comprehensive energy consumption data of the previous control period.

8. The energy storage control system for renewable energy generation and consumption according to claim 7, characterized in that: The determination method of whether to perform the consumption control operation includes: The consumption demand value is obtained by subtracting the predicted power consumption value of the next control period from the maximum power supply value; The expression of the consumption demand value is: XN xq =XH yc -GJ zd ; In the formula, XN xq To absorb the demand value, XH yc is the predicted power consumption value of the next control period, GJ zd is the maximum power supply value; When XN xq When it is greater than 0, it is determined to execute the consumption control operation; When XN xq When it is less than or equal to 0, it is determined that the consumption control operation is not performed.

9. The energy storage control system for renewable energy power generation and consumption according to claim 8, characterized in that: The calculation method of the consumption difference value includes: The sub-power generation of E new energy power stations is counted through the power database, and the total power generation is generated by accumulating the E sub-power generation one by one; The expression of total power generation is: Where, FD zl is the total power generation, FD ze is the power generation of the e-th sub-unit; After subtracting the total power generation from the consumption demand value, the consumption difference value is obtained; The expression of the difference value is: XN ce =FD zl -XN xq ; In the formula, XN ce is the difference value absorbed; The selection methods of independent consumption mode and combined consumption mode include: When XN ce When it is greater than or equal to 0, select the independent consumption mode; When XN ce When it is less than 0, the combined consumption mode is selected.

10. The energy storage control system for renewable energy power generation and consumption according to claim 9, characterized in that: The control method for supplying power to the grid system includes: When the independent consumption mode is selected, the electric energy in the renewable energy power generation system is dispatched to the power grid system until the consumption demand value is equal to 0, and the electric energy dispatch is stopped, and the remaining electric energy in the renewable energy power generation system is all dispatched to the energy storage system for storage; When the combined dispatching mode is selected, first, all the electric energy in the renewable energy power generation system is dispatched to the power grid system, and then part of the electric energy in the energy storage system is dispatched to the power grid system, until the power dispatching is stopped when the absorption demand value is equal to 0.

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