Energy-saving regulation and control method and system for energy storage system

Abstract

The invention discloses an energy-saving regulation and control method and system for an energy storage system, relates to the technical field of energy storage, and solves the technical problems of low energy storage and energy-saving regulation and control efficiency and resource waste caused by the fact that energy is supplied to cooling units separately and sharing of effective resources is not considered in the prior art. Inputting the system operation data and the corresponding liquid temperature into the cooling liquid pre-estimation model to obtain a flow pre-estimation value and a temperature pre-estimation value; when the environment temperature is higher than a first preset threshold value, the adjusted gas conveying amount of the compression evaporation refrigeration equipment is calculated according to the liquid temperature and the flow estimated value; and when the environment temperature is lower than a preset threshold value II, calculating and adjusting the gas transmission amount according to the liquid flow at the pcs end and the flow estimated value at the pack end, accurately considering the refrigeration parameters required by each region, and considering the efficiency of the refrigeration equipment by the environment data, so that reasonable utilization of effective resources is realized, the efficiency of energy storage and energy conservation regulation is improved, and the energy conservation regulation efficiency is improved. And meanwhile, resource waste is reduced.

Description

Technical Field

[0001] The present application belongs to the field of energy storage technology, and specifically relates to an energy storage system energy-saving control method and system. Background Art

[0002] With the rapid development of renewable energy, the importance of energy storage systems as a key technology for balancing the supply and demand of the power grid and improving energy efficiency has become increasingly prominent. Energy storage systems, also known as energy storage systems, refer to systems that store energy in a certain form through specific equipment and technology, and convert the stored energy back into electricity or other forms of energy for use when needed. As an important part of the energy storage system, the dual-temperature zone energy storage thermal management unit ensures the efficient operation and long-term stability of the energy storage equipment by finely controlling the temperature of the energy storage unit.

[0003] At present, the thermal management route of liquid cooling at the pack end and air cooling at the pcs end is generally adopted in the industrial and commercial or container energy storage system. In the energy storage system, it is necessary to configure chillers and air conditioners to provide low-temperature coolant and low-temperature air. By supplying energy to the units separately, the resources of the air-cooled units cannot be effectively utilized under low temperature conditions, resulting in low efficiency of energy storage energy-saving regulation and waste of resources, which is difficult to meet the needs of modern energy storage systems for high efficiency and energy saving. Therefore, the energy storage energy-saving control system still needs to be further improved. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes an energy storage system energy-saving control method and system, which is used to solve the technical problem that the prior art supplies energy to the cooling units separately without considering the sharing of effective resources, resulting in low efficiency of energy storage energy-saving control and waste of resources.

[0005] To achieve the above-mentioned purpose, the first aspect of the present application provides an energy storage system energy-saving control system, including: a data acquisition module, a data analysis module, a control module, an early warning module and a database;

[0006] The data acquisition module: acquires system operation data and refrigeration equipment operation data through data acquisition equipment; the system operation data includes pack end operation data and pcs end operation data; the refrigeration equipment operation data includes compressor air delivery and air refrigeration operation power and liquid temperature of pack end and pcs end;

[0007] The data analysis module: inputs the system operation data and its corresponding liquid temperature into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value; obtains the ambient temperature, and when the ambient temperature is higher than the preset threshold value 1, calculates the adjusted gas delivery volume of the compression evaporative refrigeration device according to the liquid temperature and the flow estimation value; when the ambient temperature is lower than the preset threshold value 2, calculates the adjusted gas delivery volume of the compression evaporative refrigeration device according to the liquid flow at the pcs end and the flow estimation value at the pack end; otherwise, the two refrigeration devices operate separately; collects the coolant flow in the system in real time, and generates an alarm signal according to the coolant flow;

[0008] The control module: generates the liquid flow required for refrigeration at the pcs end through the pack end, and transmits part of the refrigerated liquid flow to the pcs end for use; transmits the liquid flow at the pcs end to the pack end for use by the pack end;

[0009] The early warning module issues a prompt according to the alarm signal and contacts the management personnel.

[0010] The present application obtains corresponding flow estimation values ​​and temperature estimation values ​​by respectively inputting system operation data and its corresponding liquid temperature into corresponding coolant estimation models; obtains ambient temperature, and when the ambient temperature is higher than a preset threshold value one, calculates the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the liquid temperature and the flow estimation value; when the ambient temperature is lower than a preset threshold value two, calculates the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the liquid flow at the pcs end and the flow estimation value at the pack end, accurately considering the refrigeration parameters required for each area, and taking into account the efficiency of the refrigeration equipment for the environmental data, thereby realizing the rational use of effective resources, improving the efficiency of energy storage and energy-saving regulation, and reducing resource waste.

[0011] Furthermore, the coolant estimation model is constructed by an artificial intelligence model, including:

[0012] Obtaining several historical system operation data and liquid temperature and its corresponding coolant temperature and coolant flow rate;

[0013] Divide historical system operation data and liquid temperature and its corresponding coolant temperature and coolant flow rate into training data, validation data, and test data;

[0014] Perform data preprocessing on training data, verification data and test data to obtain training set, verification set and test set;

[0015] The artificial intelligence model is trained using the training set, the parameters are adjusted on the validation set, and the model is tested on the test data. Finally, a coolant estimation model is obtained whose input is system operation data and liquid temperature, and whose output is flow estimate and temperature estimate.

[0016] Furthermore, the step of calculating the adjusted gas delivery volume of the compression evaporative refrigeration device according to the liquid temperature and the estimated flow rate includes:

[0017] Obtain the pack-side liquid temperature PKYW, the estimated flow rate PKLG and the estimated temperature PKWG, as well as the pcs-side liquid temperature PSYW, the estimated flow rate PSLG and the estimated temperature PSWG, as well as the pack-side optimum operating temperature PKZW and the pcs-side optimum operating temperature PSZW;

[0018] The additional liquid flow EYL at the pack end is calculated by the formula for the required liquid flow at the pcs end;

[0019] EYL=PSLG×PSGW / (k1×PKWG); where k1 is the proportionality coefficient, k1∈(0,1);

[0020] The actual flow estimate at the pack end is obtained by adding the additional liquid flow to the flow estimate at the pack end;

[0021] The actual flow rate estimate, liquid temperature and temperature estimate at the pack end are input into the gas transmission volume estimation model to obtain the estimated gas transmission volume at the pack end;

[0022] The estimated gas delivery value is assigned to the gas delivery of the compression evaporative refrigeration equipment as the adjusted gas delivery.

[0023] Furthermore, the gas transmission volume estimation model is constructed by an artificial intelligence model, including:

[0024] Obtain several historical liquid temperatures, historical liquid flows, historical target temperatures and their corresponding gas delivery volumes at the pack end;

[0025] Divide a number of historical liquid temperatures, historical liquid flow rates, historical target temperatures and their corresponding gas delivery volumes into training data, verification data and test data;

[0026] Perform data preprocessing on training data, verification data and test data to obtain training set, verification set and test set;

[0027] The artificial intelligence model is trained using the training set, the parameters are adjusted on the validation set, and the model is tested on the test data. Finally, a gas delivery estimation model is obtained, whose input is liquid temperature, liquid flow rate and target temperature, and whose output is the estimated gas delivery volume.

[0028] Further, the adjusting gas delivery volume of the compression evaporative refrigeration device is calculated according to the estimated value of the liquid flow rate at the pcs end and the flow rate at the pack end, including:

[0029] Get the pcs-side liquid flow PSYL, liquid temperature PSYW, pack-side flow estimated value PKLG, liquid temperature PKYW and temperature estimated value PKWG;

[0030] Determine whether the coolant on the pcs side meets the requirements on the pack side;

[0031] Yes, calculate the transmission liquid flow rate at the pcs end based on the estimated flow rate and temperature at the pack end;

[0032] No, merge the liquid flow rate at the pcs end with the estimated flow rate at the pack end, and calculate the fused liquid flow rate RYL after fusion by the formula RYL=PSYL+PKLG; calculate the fused liquid temperature RYW after fusion by the formula RYW=(PSYL×PSYW+PKYW×PKLG) / (PSYL+PKLG);

[0033] Inputting the fusion liquid temperature, fusion liquid flow rate and temperature estimation value into the gas transmission volume estimation model to obtain the estimated gas transmission volume after fusion;

[0034] The estimated gas delivery value is assigned to the gas delivery of the compression evaporative refrigeration equipment as the adjusted gas delivery.

[0035] Further, the calculation of the transmission liquid flow rate at the pcs end according to the pack end flow estimate and the temperature estimate includes:

[0036] Get the pcs-side liquid flow PSYL, liquid temperature PSYW, pack-side flow estimated value PKLG and temperature estimated value PKWG;

[0037] The transmission liquid flow CYL is calculated by the formula CYL=PKLG×PKWG / (k2×PSYW); wherein k2 is a proportionality coefficient, k2∈(0, 1).

[0038] The present application makes reasonable use of the resources of the pcs end in a low temperature environment and uses them for the temperature control of the pack end, so that the pack end can achieve the purpose of cooling with less energy, reduces resource waste, and achieves energy-saving effects.

[0039] Further, generating an alarm signal according to the coolant flow rate includes:

[0040] Get coolant flow in real time;

[0041] Determine whether the coolant flow rate is less than the flow threshold; if yes, generate a coolant leakage alarm signal; if no, determine whether the coolant flow rate is less than D times the flow threshold; if yes, generate a coolant leakage warning signal, if no, do nothing; wherein D is the proportional coefficient, D∈(0,1).

[0042] Another aspect of the present invention provides an energy storage system energy-saving control method, comprising:

[0043] S0: Obtain system operation data and refrigeration equipment operation data through data acquisition equipment;

[0044] S1: inputting the system operation data and the corresponding liquid temperature into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value;

[0045] S2: Get the ambient temperature. When the ambient temperature is higher than the preset threshold value 1, calculate the adjusted gas flow of the compression evaporative refrigeration equipment according to the liquid temperature and flow estimate; transmit part of the refrigerated liquid flow to the PCS end for use;

[0046] S3: When the ambient temperature is lower than the preset threshold value 2, the liquid flow of the PCS end is transmitted to the pack end for use by the pack end, and the adjusted gas transmission volume of the compression evaporative refrigeration device is calculated according to the liquid flow of the PCS end and the estimated flow of the pack end; otherwise, the two refrigeration devices operate separately;

[0047] S4: Issue a prompt based on the alarm signal and contact the management.

[0048] Compared with the prior art, the beneficial effects of this application are:

[0049] 1. The present application obtains corresponding flow estimation values ​​and temperature estimation values ​​by respectively inputting system operation data and its corresponding liquid temperature into corresponding coolant estimation models; obtains ambient temperature, and when the ambient temperature is higher than a preset threshold value one, calculates the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the liquid temperature and flow estimation values; when the ambient temperature is lower than a preset threshold value two, calculates the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the liquid flow at the pcs end and the flow estimation values ​​at the pack end, accurately considers the refrigeration parameters required for each area, and takes into account the efficiency of the refrigeration equipment for the environmental data, thereby realizing the rational use of effective resources, improving the efficiency of energy storage and energy-saving regulation, and reducing resource waste.

[0050] 2. This application makes reasonable use of the resources of the pcs end in a low temperature environment and uses them for temperature control of the pack end, so that the pack end only needs to use less energy to achieve the purpose of cooling, reduces resource waste, and achieves energy-saving effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A schematic diagram of the principle of an energy storage system energy-saving control system of the present application;

[0053] Figure 2 This is a flow chart of an energy storage system energy-saving control method of the present application. DETAILED DESCRIPTION

[0054] The technical solution of the present application will be described clearly and completely in conjunction with the embodiments below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0055] See also Figure 1 , the first aspect of the present application provides an energy storage system energy-saving control method and system, including: a data acquisition module, a data analysis module, a control module, an early warning module and a database;

[0056] Data acquisition module: obtain system operation data and refrigeration equipment operation data through data acquisition equipment; refrigeration equipment includes compression evaporation refrigeration equipment and air refrigeration equipment; system operation data includes pack end operation data and pcs end operation data; refrigeration equipment operation data includes compressor gas output and air refrigeration operation power as well as liquid temperature at pack end and pcs end; data acquisition equipment includes several corresponding sensors, etc.; air refrigeration equipment includes air conditioners and fans, etc.; system operation data includes system temperature, etc.;

[0057] Data analysis module: input the system operation data and its corresponding liquid temperature into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value. The flow estimation value is the flow value set for the coolant flow so that the system reaches the target temperature, and the temperature estimation value is the temperature value set for the coolant temperature so that the system reaches the target temperature; obtain the ambient temperature, and when the ambient temperature is higher than the preset threshold value one, calculate the adjusted gas supply volume of the compression evaporative refrigeration equipment according to the liquid temperature and the flow estimation value. The adjusted gas supply volume refers to the adjusted value of the gas supply volume in the pack-end refrigeration equipment; when the ambient temperature is lower than the preset threshold value two, calculate the adjusted gas supply volume of the compression evaporative refrigeration equipment according to the pcs-end liquid flow and the pack-end flow estimation value; otherwise, the two refrigeration equipments operate separately; collect the coolant flow in the system in real time, and generate an alarm signal according to the coolant flow; the preset threshold value one and the preset threshold value two are set according to experience;

[0058] Control module: Generate the liquid flow required for refrigeration at the pcs end through the pack end, and transmit part of the refrigerated liquid flow to the pcs end for use; transmit the liquid flow at the pcs end to the pack end for use by the pack end;

[0059] Early warning module: issues prompts based on alarm signals and contacts management personnel; alarm signals include coolant leakage alarm signals and coolant leakage early warning signals, etc.

[0060] This embodiment obtains corresponding flow estimation values ​​and temperature estimation values ​​by respectively inputting system operation data and its corresponding liquid temperature into corresponding coolant estimation models; obtains ambient temperature, and when the ambient temperature is higher than a preset threshold value one, calculates the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the liquid temperature and the flow estimation value; when the ambient temperature is lower than a preset threshold value two, calculates the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the liquid flow at the pcs end and the flow estimation value at the pack end, accurately considering the refrigeration parameters required for each area, and taking into account the efficiency of the refrigeration equipment for the environmental data, thereby realizing the rational use of effective resources, improving the efficiency of energy storage and energy-saving regulation, and reducing resource waste.

[0061] The coolant estimation model in this embodiment is constructed by an artificial intelligence model, including:

[0062] Obtaining several historical system operation data and liquid temperature and its corresponding coolant temperature and coolant flow rate;

[0063] Divide historical system operation data and liquid temperature and its corresponding coolant temperature and coolant flow rate into training data, validation data, and test data;

[0064] The training data, validation data and test data are preprocessed to obtain the training set, validation set and test set; the ratio between the training set, test set and validation set is 7:2:1;

[0065] The artificial intelligence model is trained using the training set, the parameters are adjusted on the validation set, and the model is tested on the test data. Finally, a coolant estimation model is obtained whose input is the system operation data and liquid temperature, and whose output is the flow estimate and temperature estimate. The artificial intelligence model includes the BP neural network model and the RBF neural network model.

[0066] In this embodiment, the method of calculating the adjusted gas delivery volume of the compression evaporative refrigeration device according to the liquid temperature and the estimated flow rate includes:

[0067] Obtain the pack-side liquid temperature PKYW, the estimated flow rate PKLG and the estimated temperature PKWG, as well as the pcs-side liquid temperature PSYW, the estimated flow rate PSLG and the estimated temperature PSWG, as well as the pack-side optimum operating temperature PKZW and the pcs-side optimum operating temperature PSZW;

[0068] The additional liquid flow EYL at the pack end of the liquid flow required at the pcs end is calculated by the formula; the additional liquid flow refers to the coolant flow generated at the pack end to meet the cooling effect of the pcs end;

[0069] EYL = PSLG × PSGW / (k1 × PKWG); where k1 is a proportionality coefficient, k1∈(0, 1), and the specific value is set based on experience; in this embodiment, the coolant used at the pack end and the pcs end is of the same type, and its density and specific heat capacity are equal; when the temperature estimation values ​​of the pack and pcs ends are determined, the additional liquid flow rate increases with the increase of the estimated flow rate value of the pcs end;

[0070] The actual flow estimate at the pack end is obtained by adding the additional liquid flow to the estimated flow at the pack end; at this time, part of the actual flow estimate at the pack end is used for cooling the equipment at the pcs end;

[0071] The actual flow rate estimate, liquid temperature and temperature estimate at the pack end are input into the gas transmission volume estimation model to obtain the estimated gas transmission volume at the pack end;

[0072] The estimated gas delivery value is assigned to the gas delivery of the compression evaporative refrigeration equipment as the adjusted gas delivery.

[0073] In this embodiment, under high temperature conditions, the air cooling device requires higher energy consumption for cooling. By using a portion of the liquid flow at the PACK end cooling device for the PCS end, the reliability and service life of the PCS end can be improved.

[0074] The gas transmission volume estimation model in this embodiment is constructed by an artificial intelligence model, including:

[0075] Get the historical liquid temperature, historical liquid flow, historical target temperature and the corresponding gas delivery volume of the pack end; the target temperature refers to the temperature that the coolant should reach to reduce the operating temperature of the system equipment to the optimal operating temperature;

[0076] Divide a number of historical liquid temperatures, historical liquid flow rates, historical target temperatures and their corresponding gas delivery volumes into training data, verification data and test data;

[0077] The training data, validation data and test data are preprocessed to obtain the training set, validation set and test set; the ratio between the training set, test set and validation set is 7:2:1;

[0078] The artificial intelligence model is trained using the training set, the parameters are adjusted on the validation set, and the model is tested on the test data, ultimately obtaining a gas delivery estimation model whose input is liquid temperature, liquid flow rate and target temperature, and whose output is the estimated gas delivery volume; the artificial intelligence model includes a BP neural network model and a RBF neural network model.

[0079] In this embodiment, the adjusted gas delivery volume of the compression evaporative refrigeration device is calculated according to the estimated value of the liquid flow rate at the pcs end and the flow rate at the pack end, including:

[0080] Get the pcs-side liquid flow PSYL, liquid temperature PSYW, pack-side flow estimated value PKLG, liquid temperature PKYW and temperature estimated value PKWG;

[0081] Determine whether the coolant on the pcs side meets the requirements of the pack side; that is, the cooling capacity of the liquid on the pcs side exceeds the cooling capacity of the liquid flow estimated on the pack side;

[0082] Yes, calculate the transmission liquid flow rate at the pcs end based on the estimated flow rate and temperature at the pack end;

[0083] No, merge the liquid flow rate at the pcs end with the estimated flow rate at the pack end, and calculate the fused liquid flow rate RYL after fusion through the formula RYL=PSYL+PKLG; calculate the fused liquid temperature RYW after fusion through the formula RYW=(PSYL×PSYW+PKYW×PKLG) / (PSYL+PKLG); since the coolant at the pack end and the pcs end is the same, the fused liquid flow rate is the sum of the two liquid flows; the fused liquid temperature after fusion is the mixing temperature. When the two liquid flows are determined, the fusion temperature increases with the increase of the two liquid temperatures;

[0084] Inputting the fusion liquid temperature, fusion liquid flow rate and temperature estimation value into the gas transmission volume estimation model to obtain the estimated gas transmission volume after fusion;

[0085] The estimated gas delivery value is assigned to the gas delivery of the compression evaporative refrigeration equipment as the adjusted gas delivery.

[0086] In this embodiment, the transmission liquid flow rate at the pcs end is calculated according to the pack end flow rate estimate and the temperature estimate, including:

[0087] Get the pcs-side liquid flow PSYL, liquid temperature PSYW, pack-side flow estimated value PKLG and temperature estimated value PKWG;

[0088] The transmission liquid flow CYL is calculated by the formula CYL=PKLG×PKWG / (k2×PSYW); wherein k2 is the proportionality coefficient, k2∈(0,1), and the specific value is set based on experience; when the required liquid temperatures at the pcs end and the pack end are determined, the transmission liquid flow rate will decrease as the estimated flow rate at the pack end decreases.

[0089] This embodiment makes reasonable use of the resources of the pcs end in a low temperature environment and uses them for temperature control of the pack end, so that the pack end can achieve the purpose of cooling with less energy, reduces resource waste, and achieves energy-saving effects.

[0090] In this embodiment, generating an alarm signal according to the coolant flow rate includes:

[0091] Get coolant flow in real time;

[0092] Determine whether the coolant flow rate is less than the flow threshold, which is set based on experience; if yes, generate a coolant leakage alarm signal; if no, determine whether the coolant flow rate is less than D times the flow threshold; if yes, generate a coolant leakage warning signal, if no, do nothing; wherein D is the proportional coefficient, D∈(0,1), the specific value is set based on experience, and in this embodiment, D is set to 0.8.

[0093] See also Figure 2 Another aspect of the present application provides an energy storage system energy-saving control method, including:

[0094] S0: Obtain system operation data and refrigeration equipment operation data through data acquisition equipment;

[0095] S1: inputting the system operation data and the corresponding liquid temperature into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value;

[0096] S2: Get the ambient temperature. When the ambient temperature is higher than the preset threshold value 1, calculate the adjusted gas flow of the compression evaporative refrigeration equipment according to the liquid temperature and flow estimate; transmit part of the refrigerated liquid flow to the PCS end for use;

[0097] S3: When the ambient temperature is lower than the preset threshold value 2, the liquid flow of the PCS end is transmitted to the pack end for use by the pack end, and the adjusted gas transmission volume of the compression evaporative refrigeration device is calculated according to the liquid flow of the PCS end and the estimated flow of the pack end; otherwise, the two refrigeration devices operate separately;

[0098] S4: Issue a prompt based on the alarm signal and contact the management.

[0099] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0100] The working principle of the present application is as follows: the system operation data and the refrigeration equipment operation data are obtained through the data acquisition equipment; the system operation data and the corresponding liquid temperature are respectively input into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value; the ambient temperature is obtained, and when the ambient temperature is higher than the preset threshold value one, the adjusted gas delivery volume of the compression evaporative refrigeration equipment is calculated according to the liquid temperature and the flow estimation value, and the liquid flow after part of the refrigeration is transmitted to the pcs end for use; when the ambient temperature is lower than the preset threshold value two, the adjusted gas delivery volume of the compression evaporative refrigeration equipment is calculated according to the liquid flow of the pcs end and the flow estimation value of the pack end, and the liquid flow of the pcs end is transmitted to the pack end for use by the pack end; otherwise, the two refrigeration equipments operate separately; the coolant flow in the system is collected in real time, an alarm signal is generated according to the coolant flow, the refrigeration parameters required for each area are accurately considered, and the efficiency of the refrigeration equipment for the environmental data is taken into account, so as to realize the rational use of effective resources, improve the low efficiency of energy storage and energy-saving regulation, and reduce the waste of resources, and avoid the problem that the existing technology supplies energy to the cooling units separately without considering the sharing of effective resources, resulting in low efficiency and waste of resources in energy storage and energy-saving regulation.

[0101] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical method of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. An energy storage system energy-saving control system, characterized in that: include: Data acquisition module, data analysis module, control module, early warning module and database; The data acquisition module: acquires system operation data and refrigeration equipment operation data through data acquisition equipment; the system operation data includes pack end operation data and pcs end operation data; the refrigeration equipment operation data includes compressor air delivery and air refrigeration operation power and liquid temperature of pack end and pcs end; The data analysis module inputs the system operation data and the corresponding liquid temperature into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value. The coolant estimation model is constructed by an artificial intelligence model. Acquire the ambient temperature, and when the ambient temperature is higher than a preset threshold value, calculate the adjusted gas delivery volume of the compression evaporative refrigeration device according to the liquid temperature and the estimated flow rate; When the ambient temperature is lower than the preset threshold value 2, the adjusted gas delivery volume of the compression evaporative refrigeration equipment is calculated based on the estimated values ​​of the liquid flow at the pcs end and the flow at the pack end; Otherwise, the two refrigeration devices operate independently; collect the coolant flow rate in the system in real time, and generate an alarm signal based on the coolant flow rate; The control module: generates the liquid flow required for refrigeration at the pcs end through the pack end, and transmits part of the refrigerated liquid flow to the pcs end for use; transmits the liquid flow at the pcs end to the pack end for use by the pack end.

2. The energy storage system energy-saving control system according to claim 1, characterized in that: The coolant estimation model is constructed by an artificial intelligence model, including: Obtaining several historical system operation data and liquid temperature and its corresponding coolant temperature and coolant flow rate; Divide historical system operation data and liquid temperature and its corresponding coolant temperature and coolant flow rate into training data, validation data, and test data; Perform data preprocessing on training data, verification data and test data to obtain training set, verification set and test set; The artificial intelligence model is trained using the training set, the parameters are adjusted on the validation set, and the model is tested on the test data. Finally, a coolant estimation model is obtained whose input is system operation data and liquid temperature, and whose output is flow estimate and temperature estimate.

3. The energy storage system energy-saving control system according to claim 1, characterized in that: The method of calculating the adjusted gas delivery volume of the compression evaporative refrigeration device according to the liquid temperature and the estimated flow rate includes: Obtain the pack-side liquid temperature PKYW, the estimated flow rate PKLG and the estimated temperature PKWG, as well as the pcs-side liquid temperature PSYW, the estimated flow rate PSLG and the estimated temperature PSWG, as well as the pack-side optimum operating temperature PKZW and the pcs-side optimum operating temperature PSZW; The additional liquid flow EYL at the pack end is calculated by the formula for the required liquid flow at the pcs end; EYL=PSLG×PSGW / (k1×PKWG); where k1 is the proportionality coefficient, k1∈(0,1); The actual flow estimate at the pack end is obtained by adding the additional liquid flow to the flow estimate at the pack end; The actual flow rate estimate, liquid temperature and temperature estimate at the pack end are input into the gas transmission volume estimation model to obtain the estimated gas transmission volume at the pack end; The estimated gas delivery value is assigned to the gas delivery of the compression evaporative refrigeration equipment as the adjusted gas delivery.

4. The energy storage system energy-saving control system according to claim 3, characterized in that: The gas transmission volume estimation model is constructed by an artificial intelligence model, including: Obtain several historical liquid temperatures, historical liquid flows, historical target temperatures and their corresponding gas delivery volumes at the pack end; Divide a number of historical liquid temperatures, historical liquid flow rates, historical target temperatures and their corresponding gas delivery volumes into training data, verification data and test data; Perform data preprocessing on training data, verification data and test data to obtain training set, verification set and test set; The artificial intelligence model is trained using the training set, the parameters are adjusted on the validation set, and the model is tested on the test data. Finally, a gas delivery estimation model is obtained, whose input is liquid temperature, liquid flow rate and target temperature, and whose output is the estimated gas delivery volume.

5. The energy storage system energy-saving control system according to claim 1, characterized in that: The method of calculating the adjusted gas delivery volume of the compression evaporative refrigeration equipment according to the estimated value of the liquid flow rate at the pcs end and the flow rate at the pack end includes: Get the pcs-side liquid flow PSYL, liquid temperature PSYW, pack-side flow estimated value PKLG, liquid temperature PKYW and temperature estimated value PKWG; Determine whether the coolant on the pcs side meets the requirements on the pack side; Yes, calculate the transmission liquid flow rate at the pcs end based on the estimated flow rate and temperature at the pack end; No, merge the liquid flow rate at the pcs end with the estimated flow rate at the pack end, and calculate the fused liquid flow rate RYL after fusion by the formula RYL=PSYL+PKLG; calculate the fused liquid temperature RYW after fusion by the formula RYW=(PSYL×PSYW+PKYW×PKLG) / (PSYL+PKLG); Inputting the fusion liquid temperature, fusion liquid flow rate and temperature estimation value into the gas transmission volume estimation model to obtain the estimated gas transmission volume after fusion; The estimated gas delivery value is assigned to the gas delivery of the compression evaporative refrigeration equipment as the adjusted gas delivery.

6. The energy storage system energy-saving control system according to claim 5, characterized in that: The calculation of the transmission liquid flow rate at the pcs end according to the pack end flow rate estimate and the temperature estimate includes: Get the pcs-side liquid flow PSYL, liquid temperature PSYW, pack-side flow estimated value PKLG and temperature estimated value PKWG; The transmission liquid flow CYL is calculated by the formula CYL=PKLG×PKWG / (k2×PSYW); wherein k2 is a proportionality coefficient, k2∈(0, 1).

7. The energy storage system energy-saving control system according to claim 1, characterized in that: The generating of an alarm signal according to the coolant flow rate comprises: Get coolant flow in real time; Determine whether the coolant flow rate is less than the flow threshold; if yes, generate a coolant leakage alarm signal; if no, determine whether the coolant flow rate is less than D times the flow threshold; if yes, generate a coolant leakage warning signal, if no, do nothing; wherein D is the proportional coefficient, D∈(0,1).

8. An energy storage system energy-saving control method, applied to an energy storage system energy-saving control system according to any one of claims 1 to 7, characterized in that: include: S0: Obtain system operation data and refrigeration equipment operation data through data acquisition equipment; S1: inputting the system operation data and the corresponding liquid temperature into the corresponding coolant estimation model to obtain the corresponding flow estimation value and temperature estimation value; S2: Get the ambient temperature. When the ambient temperature is higher than the preset threshold value 1, calculate the adjusted gas flow of the compression evaporative refrigeration equipment according to the liquid temperature and flow estimate; transmit part of the refrigerated liquid flow to the PCS end for use; S3: When the ambient temperature is lower than the preset threshold value 2, the liquid flow at the pcs end is transmitted to the pack end for use by the pack end, and the adjusted gas transmission volume of the compression evaporative refrigeration equipment is calculated according to the liquid flow at the pcs end and the estimated flow at the pack end; Otherwise, the two cooling units operate independently.

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