Compressed air energy storage working condition regulation and control strategy, electronic equipment and storage medium

Abstract

The invention discloses a compressed air energy storage working condition regulation and control strategy, electronic equipment and a storage medium. The regulation and control strategy comprises the steps that heat storage tank capacity data and a heat load demand prediction value of a compressed air energy storage system are acquired; comparing the capacity data of the heat storage tank with the predicted value of the heat load demand, and determining an initial heat supply source; the current-stage working condition of compressed air energy storage is judged based on the initial heat supply source; whether the compressed air energy storage prediction working condition meets the heat supply requirement or not is judged based on the heat storage tank capacity data and the compressed air energy storage current-stage working condition; and if the compressed air energy storage prediction working condition can meet the heat supply requirement, the compressed air energy storage working condition is regulated and controlled in combination with the new energy output condition and the superior main transformer margin. According to the method, the working condition state of the compressed air energy storage system is subjected to multi-dimensional regulation and control by taking thermal load demand prediction as a starting point and combining a regional power grid new energy consumption demand and power grid operation limitation, so that the operation flexibility of the regional multi-energy complementary energy system is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of compressed air energy storage, and particularly relates to a compressed air energy storage working condition regulation strategy, an electronic device and a storage medium. BACKGROUND

[0002] As a large-scale and long-term physical energy storage technology, compressed air energy storage mainly uses the surplus power in the valley period of power grid load to compress and store air in underground space such as salt caverns and caves, and releases compressed air to drive a turbine to generate power in the peak period of power grid load, so as to realize peak load shifting and efficient consumption of new energy of the power system.

[0003] At present, the working condition conversion of compressed air energy storage is mainly affected by the power peak shaving demand and the new energy consumption demand, and with the access of multiple types of energy storage in the construction of new power systems, this working condition conversion strategy hinders the flexibility of regional multi-energy complementary energy system operation. SUMMARY

[0004] The purpose of the application is to take the heat load demand prediction as the starting point, combine the new energy consumption demand of the regional power grid and the operation limit of the power grid, and perform multi-dimensional regulation and control on the working condition state of the compressed air energy storage system, so as to improve the flexibility of the regional multi-energy complementary energy system operation.

[0005] In order to achieve the above purpose, the application provides a compressed air energy storage working condition regulation strategy, which comprises the following steps: obtaining heat storage tank capacity data and heat load demand prediction value of a compressed air energy storage system; comparing the size of the heat storage tank capacity data and the heat load demand prediction value to determine an initial heat supply source; judging the current working condition of the compressed air energy storage based on the initial heat supply source; judging whether the predicted working condition of the compressed air energy storage can meet the heat supply demand based on the heat storage tank capacity data and the current working condition of the compressed air energy storage; and if the predicted working condition of the compressed air energy storage can meet the heat supply demand, then combining the new energy output condition and the superior main transformer margin to perform working condition regulation and control of the compressed air energy storage.

[0006] In an optional embodiment, the comparison of the size of the heat storage tank capacity data and the heat load demand prediction value to determine the initial heat supply source specifically comprises: comparing the size of the current heat storage tank capacity and the lower limit value of the heat storage tank capacity; if the current heat storage tank capacity is greater than or equal to the lower limit value of the heat storage tank capacity and greater than zero, then comparing the heat load demand prediction value, the current heat storage tank capacity and the upper limit value of the heat storage tank capacity in pairs to determine the initial heat supply source, wherein the heat supply source includes heat supply of the heat storage tank of the compressed air energy storage system or joint heat supply of the heat storage tank of the compressed air energy storage system and other heat supply systems.

[0007] In an optional embodiment, the heat load demand prediction value is defined as H s, the heat storage tank capacity data includes current heat storage tank capacity S f , heat storage tank capacity lower limit value S d , and heat storage tank capacity upper limit value S D , the heat load demand prediction value is the heat load demand after interval time ΔT at the current time; if H s ≤S f , the heat source of the heat load demand prediction value is the heat storage tank of the compressed air energy storage system; if H s >S f , and H s >S D , the heat source of the heat load demand prediction value is the joint heating of the heat storage tank of the compressed air energy storage system and other heating systems.

[0008] In an optional implementation, if S d =0, it is checked whether the energy storage tank has a fault, and instructions are given to other heating systems to meet the heat load demand after interval time ΔT.

[0009] In an optional implementation, the judgment of the current working condition of the compressed air energy storage based on the initial heat source includes: defining the current output power of the compressed air energy storage as P C , the maximum output corresponding to the expansion working condition as P X , and the maximum load corresponding to the compression working condition as P Y ; obtaining the current output power of the compressed air energy storage; if P C >0, it is determined that the compressed air energy storage is in the expansion working condition, and P C ≤P X ; if P C ≤0, it is determined that the compressed air energy storage is in the compression working condition, and P C ≥P Y .

[0010] In an optional implementation, the current heat storage tank is defined as S f , the heat storage tank capacity lower limit value is S d , and the judgment of whether the predicted working condition of the compressed air energy storage can meet the heating demand based on the heat storage tank capacity data and the current working condition of the compressed air energy storage includes: in the case that the current heat storage tank capacity satisfies S f ≥S d >0: if the current output power satisfies 0 C ≤P X or 0 C >P Y , the predicted working condition of the compressed air energy storage can meet the heating requirement; if the current output power satisfies P C =PY If the compressed air energy storage predicted working condition cannot meet the heating requirement, the compressed air energy storage working condition is adjusted.

[0011] In an alternative embodiment, if the compressed air energy storage predicted working condition can meet the heating requirement, the compressed air energy storage working condition is adjusted in combination with the new energy output and the superior main transformer margin, specifically including: obtaining the new energy installed output of the power supply area of the upper-level substation of the compressed air energy storage power station access point and the power source installed output of the power supply area of the upper-level substation of the compressed air energy storage power station access point; calculating the ratio of the new energy installed output to the power source installed output; judging whether the current load of the upper-level substation of the compressed air energy storage power station access point and the main transformer operation control limit restrict the working condition conversion according to the ratio and the size comparison between the current output power, the maximum output corresponding to the expansion working condition and the maximum load corresponding to the compression working condition; if not, the compressed air energy storage working condition is adjusted.

[0012] In an alternative embodiment, judging whether the current load of the upper-level substation of the compressed air energy storage power station access point and the main transformer operation control limit restrict the working condition conversion according to the ratio and the size comparison between the current output power, the maximum output corresponding to the expansion working condition and the maximum load corresponding to the compression working condition, specifically including: defining the upper-level substation of the compressed air energy storage power station access point as TR, the new energy installed output of the power supply area of the current access TR as P M , the power source installed output of the power supply area of the current access TR as P G , the current load of the upper-level substation of the compressed air energy storage power station access point as P TR , the main transformer operation control limit as P L , the current output power of the compressed air energy storage as P C , the maximum output corresponding to the expansion working condition as P X , and the maximum load corresponding to the compression working condition as P Y ; if the ratio satisfies and 0 C ≤ P X , the compressed air energy storage is controlled to enter the compression working condition from the current time; if the ratio satisfies and 0 C ≤ P X , it is judged whether the current load and the main transformer operation control limit restrict the working condition conversion: if P TR ≤ P L and |P Y |+|P C |≤|P L |-|P TR |, the compressed air energy storage is controlled to enter the compression working condition from the current time; if P TR≤ P L and | P Y | + | P C | > | P L | - | P TR |, the compressed air energy storage is controlled to enter the compression working condition from the current time; if P TR > P L , the compressed air energy storage is controlled to enter the compression working condition from the current time; if 0 > P C > P Y , it is judged whether the load P TR of TR at 0 time and the main transformer operation control limit P L limit the working condition conversion; if P TR ≤ P L and | P Y | - | P C | ≤ | P L | - | P TR |, the compressed air energy storage is controlled to continue to maintain the compression working condition from the current time; if P TR ≤ P L and | P Y | - | P C | > | P L | - | P TR |, the compressed air energy storage is controlled to continue to maintain the compression working condition from the current time; if P TR > P L , the compressed air energy storage is controlled to enter the expansion working condition from the current time, and the instructions of other heat supply systems are lowered to meet the heat load demand after the interval time DT.

[0013] The application further provides an electronic device, comprising: at least one processor; a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the compressed air energy storage working condition regulation strategy.

[0014] The application further provides a medium storing a computer program, and the computer program is executed by a processor to implement the compressed air energy storage working condition regulation strategy.

[0015] The application has the beneficial effect that: the application takes the heat load demand prediction as the starting point, combines the new energy consumption demand of the regional power grid and the power grid operation limit, and performs multi-dimensional regulation on the working condition state of the compressed air energy storage system, thereby improving the flexibility of the regional multi-energy complementary energy system operation. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1A flowchart of a compressed air energy storage working condition regulation strategy provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0017] The compressed air energy storage has the characteristics of multi-energy coupling due to its working principle, and therefore has wide applicability: it can not only be used in power systems for peak regulation, frequency regulation, black start and other scenarios, but also can be used in industries, buildings and other fields for heating, cooling and other needs. In particular, the advanced adiabatic compressed air energy storage (AA-CAES) system can relieve the heating pressure of the combined heat and power unit during the heating period. By recovering the heat during the compression process in the energy release stage, the air can be heated, thereby providing heat energy while generating electricity, realizing cold and heat combined power supply. This ability makes the compressed air energy storage system have a significant advantage in energy utilization efficiency, and can meet the demand for electricity and heat at the same time.

[0018] Currently, the compressed air energy storage working condition conversion is mainly studied from the characteristics of multi-energy supply. With the construction of new power systems, multiple types of energy storage are connected, and the types and scales of the selected energy storage for peak regulation and frequency regulation of the system are increased. This provides space for the compressed air energy storage to exert its multi-energy supply characteristics. The present application proposes a "heat determines electricity" regional compressed air energy storage power station working condition regulation strategy, which takes heat load demand prediction as the starting point, combines the new energy consumption demand of the regional power grid and the operation limit of the power grid, and multi-dimensionally regulates the working condition state of the compressed air energy storage system, thereby improving the flexibility of the regional multi-energy complementary energy system operation.

[0019] The present application will be further described in detail through the accompanying drawings and specific embodiments.

[0020] As shown in Figure 1 According to an embodiment of the present application, on the one hand, a compressed air energy storage working condition regulation strategy is provided, comprising the following steps:

[0021] Step S101: obtaining the heat storage tank capacity data and heat load demand prediction value of the compressed air energy storage system.

[0022] Step S103: comparing the size of the heat storage tank capacity data and the heat load demand prediction value to determine the initial heating source.

[0023] Step S105: judging the current working condition of the compressed air energy storage based on the initial heating source.

[0024] Step S107: judging whether the predicted working condition of the compressed air energy storage can meet the heating demand based on the heat storage tank capacity data and the current working condition of the compressed air energy storage.

[0025] Step S109: If the compressed air energy storage predicted working condition can meet the heating demand, the compressed air energy storage working condition control is performed in combination with the new energy output and the superior main transformer margin.

[0026] In this embodiment, the current actual capacity data of the heat storage tank in the compressed air energy storage system can be collected in real time by a sensor, and at the same time, historical heating data, environmental temperature changes, user heating habits, and regional energy planning information are combined to generate a heat load demand prediction value for a future period of time by using a big data analysis or machine learning algorithm, such as a time series model. The heat load demand prediction value covers peak load, average load, and load fluctuation trend, and the like, which will not be described here.

[0027] The actual capacity data of the heat storage tank obtained in step S101 is quantitatively compared with the heat load demand prediction value. If the capacity of the heat storage tank is sufficient to cover the predicted heat load demand, the initial heating source is determined to be the heat storage tank. If the capacity of the heat storage tank cannot meet the predicted demand, the initial heating source needs to consider supplementing other energy, such as auxiliary gas boilers, grid power heating, and the like.

[0028] Through this step, the primary energy source for heating can be quickly and clearly determined, providing a direct basis for energy allocation in the system start-up stage, reducing decision-making time, and ensuring that the heating system can quickly respond to demand.

[0029] If the initial heating source is the heat storage tank, it means that the compressed air energy storage system is in a "heat release working condition", that is, the heat in the heat storage tank is released to meet the heating demand, and at the same time, the air expansion power generation process may also be accompanied. If the initial heating source needs to rely on external supplemental energy, it is judged that the system is in an "insufficient heat storage working condition", and it may be necessary to start the compressor set to consume electric energy to store heat, or to adjust the operation strategy to reduce heat consumption.

[0030] In this way, the current running state of the system can be clearly defined, providing a direction for subsequent working condition control, ensuring that the operation of the system conforms to its actual running characteristics, and avoiding equipment wear or efficiency reduction caused by misjudgment of the working condition.

[0031] In combination with the heat storage tank capacity data and the current working condition, the working condition change of the system in a future period of time is predicted, such as whether the heat storage tank can maintain sufficient capacity during the heating process, whether there will be a mid-way interruption of supply, and the like, and then it is judged whether the total heating capacity of the system under the predicted working condition can stably meet the heat load demand. Potential heating risks, such as mid-way heat storage shortage, can be identified in advance, time is gained for subsequent control measures, heating interruption caused by unexpected working condition changes is avoided, and the continuity and stability of heating are ensured.

[0032] Under the premise of confirming that the predicted working condition can meet the heat supply demand, the actual output of new energy such as photovoltaic and wind power is monitored in real time, and the load margin of the upper transformer, that is, the difference between the current load and the rated capacity, is obtained, which reflects the additional load capacity that can be borne. If the new energy output is sufficient and the upper main transformer margin is large, the heat release speed of the heat storage tank can be appropriately reduced, and the new energy is preferentially used for direct heating; if the new energy output is unstable or the main transformer margin is too small, the compressed air energy storage system is adjusted to the high-efficiency heat release mode, and the dependence on the external power grid is reduced.

[0033] Therefore, the present application can realize multi-energy collaborative optimization, improve the new energy consumption rate, reduce the pressure on the traditional power grid, maximize the energy utilization efficiency of the compressed air energy storage system, reduce energy loss and operating cost, and improve the flexibility of the operation of the regional multi-energy complementary energy system.

[0034] Based on step S103, the size of the heat storage tank capacity data and the heat load demand prediction value is compared to determine the initial heat supply source, specifically including the following steps:

[0035] Step S1031: comparing the size of the current heat storage tank capacity and the lower limit value of the heat storage tank capacity;

[0036] Step S1033: if the current heat storage tank capacity is greater than or equal to the lower limit value of the heat storage tank capacity and greater than zero, the heat load demand prediction value, the current heat storage tank capacity and the upper limit value of the heat storage tank capacity are compared in pairs to determine the initial heat supply source, and the heat supply source includes the heat supply of the heat storage tank of the compressed air energy storage system or the joint heat supply of the heat storage tank of the compressed air energy storage system and other heat supply systems.

[0037] In this embodiment, it is first judged whether the current heat storage tank capacity is higher than the lower limit value of the capacity and greater than zero, so as to exclude the unusable condition caused by the too low capacity of the heat storage tank, or the heat storage tank is close to empty or cannot stably release heat, to ensure that the heat storage tank has basic heat supply capacity for subsequent comparison. Under the premise that the heat storage tank is available, the heat load demand prediction value, the current heat storage tank capacity and the upper limit value of the heat storage tank capacity are compared in pairs, for example, whether the heat load demand exceeds the current heat storage tank capacity, whether the current heat storage tank capacity is close to the upper limit and cannot store heat, etc., to finally determine whether to use only the heat storage tank for heat supply or to jointly supplement heat with other systems.

[0038] Step S1033 compares the three in pairs, which can determine the matching degree of heat load and heat storage capacity, for example, using only the heat storage tank when the heat storage is sufficient, and jointly supplying heat when the heat storage is insufficient, so as to avoid energy waste caused by excessive heat storage or heat supply gap caused by insufficient heat storage, and improve the energy utilization efficiency.

[0039] Specifically, the heat load demand prediction value can be defined as H s , and the heat storage tank capacity data includes the current heat storage tank capacity S f, the lower limit value S of the storage tank capacity d , the upper limit value S of the storage tank capacity D , the heat load demand prediction value is the heat load demand after the interval time ΔT from the current time.

[0040] If H s ≤ S f , the heat supply source of the heat load demand prediction value is the storage tank of the compressed air energy storage system.

[0041] If H s > S f , and H s > S D , the heat supply source of the heat load demand prediction value is the joint heat supply of the storage tank of the compressed air energy storage system and other heat supply systems.

[0042] Wherein, the current time can be set as the starting time 0.

[0043] If S f <S d , step S107 is entered.

[0044] If S f ≥ S d > 0, whether H s ≤ S f is calculated.

[0045] If H s ≤ S f , the heat load demand prediction value H s is all supplied by the storage tank of the compressed air energy storage system after ΔT.

[0046] If H s > S f , the heat supply by the storage tank of the compressed air energy storage system after ΔT: if the upper limit value S D of the storage tank capacity further satisfies H s ≤ S D , step S107 is entered; if the upper limit value S D of the storage tank capacity satisfies H s > S D , step S107 is entered while issuing instructions to other heat supply systems to provide the heat energy shortage after the interval time ΔT.

[0047] Wherein, if S d = 0, whether the energy storage tank has a fault is checked, and instructions are issued to other heat supply systems to meet the heat load demand after the interval time ΔT.

[0048] Further, in step S105, the current working condition of the compressed air energy storage is determined based on the initial heat supply source, and the determination includes the following steps:

[0049] In step S1051, the current output power of the compressed air energy storage is defined as P C , the maximum output power corresponding to the expansion working condition is P X , and the maximum load corresponding to the compression working condition is P Y .

[0050] In step S1053, the current output power of the compressed air energy storage is obtained.

[0051] If P C > 0, it is determined that the compressed air energy storage is in the expansion working condition, and P C ≤ P X .

[0052] If P C ≤ 0, it is determined that the compressed air energy storage is in the compression working condition, and P C ≥ P Y .

[0053] In the embodiment, whether the predicted working condition of the compressed air energy storage meets the heat supply requirement is determined based on the heat storage tank capacity and the current working condition of the compressed air energy storage. The positive and negative conditions of the current output power P C are determined to determine the working condition. If P C > 0, it is determined that the working condition is in the expansion working condition, and P C ≤ P X is required to ensure that the output power in the expansion working condition does not exceed the maximum output power in the expansion working condition. If P C ≤ 0, it is determined that the working condition is in the compression working condition, and P C ≥ P Y is required to ensure that the load in the compression working condition is not lower than the maximum load in the compression working condition. While determining the working condition, the output power in the expansion working condition and the load in the compression working condition are limited to ensure that the system will not be damaged due to excessive power in the expansion working condition and the energy storage effect will not be affected due to excessively low load in the compression working condition, thereby ensuring the stability and safety of the operation of the compressed air energy storage system.

[0054] Further, whether the predicted working condition of the compressed air energy storage meets the heat supply requirement is determined based on the heat storage tank capacity data and the current working condition of the compressed air energy storage, and the determination includes the following steps:

[0055] In the case that the current heat storage tank capacity satisfies S f ≥ S d > 0: If the current output power satisfies 0 < P C ≤ P X or 0 > P C > PY If the compressed air energy storage prediction operating conditions can meet the heating requirements;

[0056] If the current output power satisfies P C =P Y If the predicted operating conditions of compressed air energy storage cannot meet the heating requirements, then the heating supply requirements cannot be met.

[0057] The energy storage tank capacity meets S f ≥S d >0: If the current compressed air energy storage output power is 0 < P C ≤P X or 0 > P C >P Y If the compressed air energy storage prediction condition can meet the heating requirements, proceed to step S109; if the compressed air energy storage output power P at the current moment... C =P Y If the predicted operating conditions of compressed air energy storage cannot meet the heating requirements, instructions need to be issued to other heating systems to meet the heat load demand after the interval time ΔT.

[0058] By combining key parameters such as the capacity of the thermal storage tank and the output power of compressed air energy storage, it is possible to accurately determine whether compressed air energy storage can meet the heating demand under predicted operating conditions, avoiding insufficient heating or energy waste caused by inaccurate judgment. When the predicted operating conditions of compressed air energy storage cannot meet the heating demand, instructions are promptly issued to other heating systems to meet the heat load demand after an interval ΔT, ensuring the continuity and stability of heating and avoiding inconvenience to users caused by heating interruptions. Energy dispatching based on accurate heating capacity judgment enables compressed air energy storage and other heating systems to work collaboratively, improving energy utilization efficiency and reducing energy consumption and operating costs. This comprehensive judgment based on multiple parameters and timely response measures improves the reliability and stability of the entire heating system and enhances the system's ability to cope with various complex situations.

[0059] Furthermore, based on step S109, if the predicted operating conditions of compressed air energy storage can meet the heating demand, then the operating conditions of compressed air energy storage will be adjusted in combination with the output of new energy sources and the margin of the upstream main transformer. Specifically, this includes the following steps:

[0060] Step S1091: Obtain the new energy installed capacity output of the power supply area of ​​the upstream substation of the current compressed air energy storage power station access point and the power supply installed capacity output of the power supply area of ​​the upstream substation of the current compressed air energy storage power station access point.

[0061] Step S1093: Calculate the ratio of installed power output of new energy sources to installed power output of power sources.

[0062] Step S1095: judging whether the current load of the upper-level transformer substation of the compressed air energy storage power station access point and the main transformer operation control limit restrict the working condition conversion according to the size comparison between the ratio and the current output power, the maximum output corresponding to the expansion working condition and the maximum load corresponding to the compression working condition.

[0063] Step S1097: if no, the compressed air energy storage working condition regulation is performed.

[0064] In this embodiment, the actual installed output of new energy, such as photovoltaic and wind power, in the power supply area of the upper-level transformer substation can be collected by the power monitoring system, and the total installed output of all power sources, including new energy, traditional thermal power and energy storage, in the area can be collected to provide original data for subsequent calculation.

[0065] The ratio of the installed output of new energy to the installed output of total power sources is calculated, which reflects the proportion of new energy in the current power supply. The higher the ratio, the more urgent the new energy consumption demand is. In combination with the ratio in step S1093, the size relationship between the current output power and the maximum output of the expansion working condition and the maximum load of the compression working condition is compared to judge whether the current load of the upper-level transformer substation is close to or exceeds the main transformer operation control limit, that is, whether the main transformer margin allows working condition conversion. For example, if the new energy proportion is high and the main transformer margin is sufficient, the compression working condition can be allowed to consume new energy power and store heat; if the main transformer load is close to the limit, the compression working condition needs to be limited to avoid increasing the load. If step S1095 judges that there is no limit, that is, the main transformer load does not reach the control limit, the working condition conversion is safe, and the working condition of the compressed air energy storage is adjusted according to the new energy proportion and system demand, for example, switched to compression heat storage or maintained in expansion heat release.

[0066] More specifically, based on step S1095, whether the current load of the upper-level transformer substation of the compressed air energy storage power station access point and the main transformer operation control limit restrict the working condition conversion is judged according to the size comparison between the ratio and the current output power, the maximum output corresponding to the expansion working condition and the maximum load corresponding to the compression working condition, specifically including the following steps:

[0067] Step S10951: defining the upper-level transformer substation of the compressed air energy storage power station access point as TR, the installed output of new energy in the power supply area of the current access TR as P M , the installed output of power sources in the power supply area of the current access TR as P G , the current load of the upper-level transformer substation of the compressed air energy storage power station access point as P TR , the main transformer operation control limit as P L , the current output power of the compressed air energy storage as P C , the maximum output corresponding to the expansion working condition as P X , and the maximum load corresponding to the compression working condition as P Y .

[0068] Step S10953: If the ratio satisfies and 0 C ≤ P X , then control the compressed air energy storage to enter the compression mode from the current time.

[0069] Step S10955: If the ratio satisfies and 0 C ≤ P X , then determine whether the current load and the main transformer operation control limit restrict the mode conversion: if P TR ≤ P L and |P Y | + |P C | ≤ |P L | - |P TR |, then control the compressed air energy storage to enter the compression mode from the current time; if P TR ≤ P L and |P Y | + |P C | > |P L | - |P TR |, then control the compressed air energy storage to enter the compression mode from the current time; and if P TR > P L , then control the compressed air energy storage to enter the compression mode from the current time.

[0070] Step S10957: If 0 > P C > P Y , then determine whether the load P TR of the TR at 0 time and the main transformer operation control limit P L restrict the mode conversion: if P TR ≤ P L and |P Y | - |P C | ≤ |P L | - |P TR |, then control the compressed air energy storage to continue to maintain the compression mode from the current time; if P TR ≤ P L and |P Y | - |P C | > |P L | - |P TR |, then control the compressed air energy storage to continue to maintain the compression mode from the current time; and if P TR > P L , then control the compressed air energy storage to enter the expansion mode from the current time, and issue a command to other heating systems to meet the heat load demand after the interval time ΔT.

[0071] In this embodiment, step S10953 is based on the case that the new energy proportion is high, and the new energy is preferentially used for energy storage, which can improve the consumption rate of new energy and reduce the waste of new energy. Through the working condition conversion judgment in steps S10955 and S10957 according to the relationship between the current load of the transformer substation and the main transformer operation control limit, it can avoid the grid load being too large or the main transformer being overloaded due to working condition conversion, and ensure the stable operation of the grid. According to different new energy proportions and grid load conditions, different working condition conversion strategies are adopted, so that the compressed air energy storage system can flexibly adapt to different operating conditions, and the adaptability and reliability of the system are improved. In step S10957, when it is necessary to enter the expansion working condition, the instructions to other heating systems are sent in time, which can meet the heat load demand after the interval time ΔT, and ensures the continuity and stability of heating. Through reasonable working condition conversion and regulation, the compressed air energy storage system works cooperatively with new energy, power grid and other heating systems, optimizes the energy utilization efficiency, and reduces energy consumption and operation cost.

[0072] The compressed air energy storage working condition regulation strategy considering heat load demand provided by the present application is different from other types of energy storage from the idea of "heat determines electricity". The heat load demand prediction is taken as the starting point, the regional power grid new energy consumption demand and the power grid operation limit are combined, and the multi-dimensional regulation of the compressed air energy storage system working condition state is carried out, so as to improve the flexibility of the regional multi-energy complementary energy system operation.

[0073] The specific application examples are as follows.

[0074] 1) Assuming that the heat storage tank capacity S of the compressed air energy storage system A at 0 time is 40 MWh, the heat load demand prediction value after the interval time ΔT of 1 hour is 80 MWh, the lower limit value S of the heat storage tank capacity is 10 MWh, and the upper limit value S of the heat storage tank capacity is 70 MWh. It is judged that S f ≥ S d ≤ S D . It is judged whether H f ≤ S d > 0, whether H s ≤ S f > S s , 1 hour later, the heat storage tank of the compressed air energy storage system supplies heat, and it is judged whether H f > S s , and step S107 is entered while the instructions to other heating systems are sent to provide the heat energy shortage after the interval time of 1 hour. D

[0075] 2) Assuming that the heat storage tank capacity S of the compressed air energy storage system B at 0 time is 40 MWh, the heat load demand prediction value after the interval time ΔT of 1 hour is 80 MWh, the lower limit value S of the heat storage tank capacity is 10 MWh, and the upper limit value S of the heat storage tank capacity is 70 MWh. It is judged that S f ​The predicted heat load demand is 30 MWh after an interval ΔT of 1 hour, with a predicted heat load of 5 MWh and a lower limit of the thermal storage tank capacity S. d 10MWh, upper limit of thermal storage tank capacity S D It is 100MWh. Determine S. f <S d Then proceed to step S107.

[0076] Taking the heating scenario of compressed air energy storage system B as an example, at time 0, the output power P of compressed air energy storage system B is... C The maximum load P corresponding to the compression condition is -150MW. Y It is -300MW. Determine P. C ≤0, compressed air energy storage is in compression mode. Determine 0>P. C >P Y If the predicted operating condition of compressed air energy storage can meet the heating requirements, proceed to step S109.

[0077] For the power supply scenario of compressed air energy storage system B, the renewable energy installed capacity P of the power supply area of ​​the upstream substation connected to the compressed air energy storage power station B at time 0 is... M For 1300MW, power generation capacity P G For 1800MW, the main transformer load P TR -1660MW, main transformer operation control limit P L 2100MW. Determine if 0 > P. C >P Y Then no calculation is needed. However, it is necessary to determine the main transformer load P. TR With the main transformer operation control limit P L Whether to restrict operating condition transitions: Calculation | P Y |-|P C |=150MW,|P L |-|P TR |=440MW, determine P TR ≤P L And |P Y |+|P C |≤|P L |-|P TR If the compressed air energy storage starts from time 0, it enters the compression mode.

[0078] This invention fully leverages the characteristics of compressed air energy storage for multi-energy combined supply and proposes a control strategy for the switching of compressed air energy storage operating conditions based on heat load demand forecasting, thereby improving the operational flexibility of regional multi-energy complementary energy systems.

[0079] In another aspect, the present application also provides an electronic device, comprising: at least one processor; a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform any one of the compressed air energy storage working condition regulation strategies.

[0080] In another aspect, the present application also provides a computer storage medium, storing a computer program, and the computer program is executed by a processor to implement any one of the compressed air energy storage working condition regulation strategies.

[0081] The computer storage medium can be referred to as a medium. It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The program can be stored in a non-volatile computer readable storage medium, and when the program is executed, it can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM). Each embodiment in the specification is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments. Especially, for the device, equipment, non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0082] The above-mentioned embodiments are only examples for clearly illustrating, and not limiting the implementation. Based on the above-mentioned description, other different forms of changes or variations can be made by those skilled in the art. Here, all the implementation is not required or can not be exhausted. The obvious changes or variations derived therefrom are still within the protection scope of the present application.

Claims

1. A compressed air energy storage operating regime control strategy, characterized in that, The method comprises: obtaining heat storage tank capacity data and heat load demand prediction values of a compressed air energy storage system; comparing the heat storage tank capacity data and the heat load demand prediction values to determine an initial heat supply source; judging a current working condition of the compressed air energy storage based on the initial heat supply source; judging whether a predicted working condition of the compressed air energy storage can meet the heat supply demand based on the heat storage tank capacity data and the current working condition of the compressed air energy storage; if the predicted working condition of the compressed air energy storage can meet the heat supply demand, then performing compressed air energy storage working condition regulation and control in combination with new energy output and upper main transformer margin.

2. The compressed air energy storage operating condition regulation strategy of claim 1, wherein, The method of comparing the heat storage tank capacity data and the heat load demand prediction values to determine an initial heat supply source specifically comprises: comparing the current heat storage tank capacity and the lower limit value of the heat storage tank capacity; if the current heat storage tank capacity is greater than or equal to the lower limit value of the heat storage tank capacity and greater than zero, then comparing the heat load demand prediction values, the current heat storage tank capacity and the upper limit value of the heat storage tank capacity in pairs to determine an initial heat supply source, wherein the heat supply source comprises heat supply of the heat storage tank of the compressed air energy storage system or joint heat supply of the heat storage tank of the compressed air energy storage system and other heat supply systems.

3. The compressed air energy storage working condition regulation and control strategy according to claim 2, wherein: The heat load demand prediction value is defined as H s , the heat storage tank capacity data includes a current heat storage tank capacity S f , a lower limit value S d of the heat storage tank capacity, and an upper limit value S D of the heat storage tank capacity, and the heat load demand prediction value is a heat load demand after an interval time ΔT from a current time; If H s ≤ S f , the heat load demand prediction value is provided by the heat storage tank of the compressed air energy storage system. If H s > S f , and H s > S D , the heat load demand prediction value is provided by the combined heat supply of the compressed air energy storage system heat storage tank and other heat supply systems.

4. The compressed air energy storage operating condition regulation strategy of claim 3, wherein, If S d = 0, then check for malfunction of the accumulator and issue commands to other heating systems to meet the heat demand after the interval time ΔT.

5. The compressed air energy storage operating condition regulation strategy of claim 2, wherein, the judging of the current working condition of the compressed air energy storage based on the initial heat supply source specifically comprises: The current output power of compressed air energy storage is defined as P C , the maximum output corresponding to the expansion working condition is P X , and the maximum load corresponding to the compression working condition is P Y ; obtaining a current output power of the compressed air energy storage; If P C > 0, it is determined that the compressed air energy storage is in the expansion working condition, and P C ≤ P X ; If P C ≤ 0, it is judged that the compressed air energy storage is in the compression working condition, and P C ≥ P Y .

6. The compressed air energy storage operating condition regulation strategy of claim 5, wherein, Definition of the current thermal storage tank is S f , the lower limit of the thermal storage tank capacity is S d , based on the thermal storage tank capacity data and the current working condition of compressed air energy storage, it is judged whether the predicted working condition of compressed air energy storage can meet the heating demand, specifically including: In the current storage tank capacity meets S f ≥S d >0 case: if the current output power meets 0 C ≤P X or 0>P C >P Y , the compressed air energy storage predicted working condition can meet the heating requirement; if the current output power meets P C =P Y , the compressed air energy storage predicted working condition cannot meet the heating requirement.

7. The compressed air energy storage operating regime control strategy of any one of claims 1 to 6, wherein, if the predicted working condition of the compressed air energy storage can meet the heat supply demand, then performing compressed air energy storage working condition regulation and control in combination with new energy output and upper main transformer margin, specifically comprising: obtaining new energy installed output of a power supply area of a power grid station at a level above a compressed air energy storage power station access point and power source installed output of the power supply area of the power grid station at the level above the compressed air energy storage power station access point; calculating a ratio of the new energy installed output to the power source installed output; judging whether a current load of the power grid station at the level above the compressed air energy storage power station access point and a main transformer operation control limit restrict working condition conversion according to a size comparison between the ratio and a size comparison between the current output power, a maximum output corresponding to an expansion working condition and a maximum load corresponding to a compression working condition; if not, then performing compressed air energy storage working condition regulation and control.

8. The compressed air energy storage operating condition regulation strategy of claim 7, wherein, The judging of whether the current load of the power grid station at the level above the compressed air energy storage power station access point and the main transformer operation control limit restrict working condition conversion according to the size comparison between the ratio and the size comparison between the current output power, the maximum output corresponding to the expansion working condition and the maximum load corresponding to the compression working condition specifically comprises: The upper-level substation of the compressed air energy storage power station access point is TR, the new energy installed output of the current access TR power supply area is P M , the power source installed output of the current access TR power supply area is P G , the current load of the upper-level substation of the compressed air energy storage power station access point is P TR , the main transformer operation control limit is P L , the current output power of the compressed air energy storage is P C , the maximum output corresponding to the expansion working condition is P X , the maximum load corresponding to the compression working condition is P Y ; If the ratio satisfies and 0 < P C ≤ P X , the compressed air energy storage enters the compression working condition from the current time. If the ratio satisfies and 0 C ≤ P X , then determine whether the current load and the main transformer operation control limit restrict the working condition conversion: if P TR ≤ P L and |P Y |+|P C |≤|P L |-|P TR |, then control the compressed air energy storage to enter the compression working condition from the current time; if P TR ≤ P L and |P Y |+|P C |>|P L |-|P TR |, then control the compressed air energy storage to enter the compression working condition from the current time; if P TR >P L , then control the compressed air energy storage to enter the compression working condition from the current time; If 0 > P C > P Y , judge the load P TR of TR at 0 time L whether to limit the working condition conversion: if P TR ≤ P L and |P Y |-|P C |≤|P L |-|P TR |, control the compressed air energy storage to continue to maintain the compression working condition from the current time; if P TR ≤ P L and |P Y |-|P C |>|P L |-|P TR |, control the compressed air energy storage to continue to maintain the compression working condition from the current time; if P TR >P L , control the compressed air energy storage to enter the expansion working condition from the current time, and lower the command of other heating systems to meet the heat load demand after the interval time ΔT.

9. An electronic device, comprising: The method comprises: at least one processor; a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the compressed air energy storage working condition regulation and control strategy according to any one of claims 1 to 8.

10. A medium characterized by, The computer program is stored in the memory and is executed by the processor to implement the compressed air energy storage working condition regulation and control strategy according to any one of claims 1 to 8.

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