CN-122022593-A - Compressed air energy storage system efficiency evaluation method and device

CN122022593ACN 122022593 ACN122022593 ACN 122022593ACN-122022593-A

Abstract

The invention discloses a method and a device for evaluating the efficiency of a compressed air energy storage system, which belong to the technical field of efficiency evaluation, ensure the accuracy and the instantaneity of data by acquiring relevant physical parameters in the running process of the system and performing time synchronization processing, compare the data with preset target efficiency, thereby obtaining the degree of efficiency deviation, realizing the accurate quantification of the running state of the system, deducting and generating a target operation instruction for adjusting the running state of the system according to the degree of efficiency deviation and combining external running conditions, and sending the instruction to a control end to adjust the running working condition of the system, thereby realizing the real-time, comprehensive and accurate evaluation of the running efficiency of the compressed air energy storage system, obviously improving the whole energy efficiency level of the system by guiding the operation instruction, ensuring the safe and stable running of a power grid and providing powerful support for the acceptance of large-scale renewable energy sources.

Inventors

FANG YUNHUI
YANG YUEPING
ZHANG NING
KANG ZHONGQING
YE JIAQING

Assignees

国网浙江省电力有限公司宁波供电公司
国网(宁波)综合能源服务有限公司
清华大学

Dates

Publication Date: 20260512
Application Date: 20260212

Claims (10)

1. The method for evaluating the efficiency of the compressed air energy storage system is characterized by comprising the following steps of: S1, acquiring related physical parameters in the operation process of a compressed air energy storage system, and performing time synchronization processing on the related physical parameters to obtain synchronous operation parameters; S2, calculating the system operation efficiency based on the synchronous operation parameters, and comparing the system operation efficiency with a preset target efficiency to obtain efficiency deviation degree; s3, deducting and generating a target operation instruction for adjusting the running state of the system based on the efficiency deviation degree and in combination with external running conditions; And S4, sending the target operation instruction to a control end of the compressed air energy storage system to adjust the system operation condition.
2. The method of claim 1, wherein the compressed air energy storage system performance evaluation comprises: s3, deducing and generating an operation instruction for adjusting the running state of the system based on the efficiency deviation degree and in combination with external running conditions, wherein the operation instruction comprises the following steps of: If the current operation condition of the compressed air energy storage system exceeds the coverage range of the currently drawn performance boundary, or a new performance requirement appears; The corresponding control parameters are initially adjusted based on the exceeding range or the new performance requirement, and the adjusted instantaneous efficiency change rate, the local pressure fluctuation, the temperature gradient and the time required for reaching the new stable state are measured to obtain transient response data; According to the transient response data, updating and outlining the performance boundary of the system under the current component degradation state, the environmental condition and the transient response characteristic in real time; Comparing the current actual running state with the updated performance boundary, and identifying a real optimization space; and according to the identified optimization space and in combination with external operation conditions, deducing and generating an initial operation instruction capable of guiding the system to approach the performance boundary, and optimizing initial operation execution based on response characteristics of an execution layer when the system is operated to obtain a target operation instruction.
3. The method of claim 1, wherein the compressed air energy storage system performance evaluation comprises: in S1, acquiring relevant physical parameters in the operation process of a compressed air energy storage system, and performing time synchronization processing on the relevant physical parameters to obtain synchronous operation parameters, wherein the method comprises the following steps: acquiring relevant physical parameters in the operation process of the compressed air energy storage system; Evaluating the measurement accuracy and response characteristics of each sensor in the related physical parameters; correcting output data of the sensor based on the evaluation result to obtain a first-level physical parameter; Based on the evaluation result, compensating or replacing the output data of the sensor to obtain a second-level physical parameter; and carrying out time synchronization processing on the primary physical parameter and the secondary physical parameter to obtain a synchronous operation parameter.
4. The method of evaluating the performance of a compressed air energy storage system of claim 2, wherein: Optimizing the initial operation execution based on the response characteristic of the execution layer when the system is running to obtain a target operation instruction, comprising the following steps: Response characteristic data of each execution unit of an execution layer of the system is obtained, wherein the response characteristic data comprises response delay time, response precision range and maximum response rate; performing precompensation processing on the initial operation instruction according to the response characteristic data to obtain a precompensated operation instruction; Limiting the adjustment slope of the pre-compensated operation instruction according to the maximum response rate in the response characteristic data to obtain an operation instruction with limited slope; according to the inertia characteristic of the execution unit, smoothing the operation instruction with limited slope to obtain a smoothed operation instruction; And performing simulation verification on the smoothed operation instruction, confirming that the smoothed operation instruction can still achieve expected efficiency improvement and power grid demand response after considering the actual response characteristic of an execution layer, and taking the smoothed operation instruction as a target operation instruction for adjusting the running state of the system.
5. The method of claim 4, wherein the step of evaluating the performance of the compressed air energy storage system comprises: performing simulation verification on the smoothed operation instruction, including the following steps: Acquiring external operation conditions and internal constraints; Setting priority weights of power grid response, economic benefit and equipment life maintenance according to the external operation conditions and the internal constraint; the impact of the deduction operation combination on the instantaneous efficiency of the system, the power grid response time, the operation cost and the accumulated operation time or fatigue degree of key components; Evaluating the smoothed operation instruction combination according to the priority weight; and generating a target operation instruction of the optimal comprehensive benefit according to the evaluation result.
6. A method of evaluating the performance of a compressed air energy storage system according to claim 3, wherein: the time synchronization process includes the steps of: at each sensor data acquisition point, adding a time stamp to each acquired related physical parameter data; Transmitting the related physical parameter data with the time stamp to a data processing unit; The data processing unit identifies initial time sequence deviation among different sensor data streams according to the time stamp; The data processing unit applies dynamic time warping processing to the data stream with the initial time sequence deviation, and the dynamic time warping processing adaptively adjusts alignment points of different data streams according to transient change rates and periodic characteristics of the data stream so as to eliminate the time sequence deviation; and integrating the related physical parameter data subjected to the dynamic time warping treatment to obtain synchronous operation parameters.
7. The method of claim 1, wherein the compressed air energy storage system performance evaluation comprises: s2, calculating the system operation efficiency based on the synchronous operation parameters, and comparing the system operation efficiency with a preset target efficiency to obtain the efficiency deviation degree, wherein the method comprises the following steps: Calculating the system operation efficiency based on the synchronous operation parameters; The system operation efficiency comprises the internal flow resistance, heat transfer characteristics and the influence degree of component degradation on energy loss of the system; And comparing the system operation efficiency with a preset target efficiency to obtain the efficiency deviation degree.
8. The method of claim 7, wherein the compressed air energy storage system performance evaluation is: Based on the synchronous operation parameters, calculating the operation efficiency of the system, comprising the following steps: Acquiring instantaneous operation data of each key component in the system in the rapid charge-discharge switching process, wherein the instantaneous operation data comprises microsecond change rate of inlet and outlet pressure, temperature and flow; Identifying and quantifying transient fluid inertia effects and heat transfer hysteresis effects inside the system in real time according to the transient operation data; Dynamically correcting the flow resistance coefficient and the heat transfer coefficient of each key component under the transient working condition according to the transient fluid inertia effect and the heat transfer hysteresis effect, wherein the flow resistance coefficient is taken as internal flow resistance, and the heat transfer coefficient is taken as heat transfer characteristic; According to the corrected flow resistance coefficient and heat transfer coefficient, calculating the energy loss of each key component under the transient working condition; accumulating the energy loss of each key component under the transient working condition to obtain the total transient energy loss of the system in the rapid charge-discharge switching process as the influence degree of component degradation on the energy loss; and calculating the operation efficiency of the system in the rapid charge-discharge switching process according to the total transient energy loss and the transient input energy of the system.
9. The method of claim 8, wherein the compressed air energy storage system performance evaluation is: The method for acquiring the instantaneous operation data of each key component in the system in the rapid charge-discharge switching process comprises the following steps: a synchronous acquisition module is deployed at the data acquisition front end of each sensor, the synchronous acquisition module performs data acquisition at the respective highest sampling frequency, and a time stamp is added to each acquired data packet; Packaging the data packets of different types of sensors through respective adaptive transmission protocols, and transmitting the data packets to a central data fusion unit through independent data links with flow control and error checking functions; The central data fusion unit performs coarse granularity alignment on the data packets according to the time stamp; the central data fusion unit performs interpolation processing on the low-frequency data stream aiming at the data acquisition frequency difference in the data stream with the coarse granularity aligned, wherein the interpolation processing considers the change trend of physical quantity and the dynamic response characteristic of the system; The central data fusion unit rebuilds data of the loss condition of the data packet in the data stream with the aligned coarse granularity through adjacent sensor data and a physical association rule; the central data fusion unit applies a dynamic time warping algorithm based on the data content characteristics to all the processed data streams, and the dynamic time warping algorithm identifies characteristic points of different data streams in the transient change process and adaptively adjusts alignment points to obtain instantaneous operation data.
10. The compressed air energy storage system efficiency evaluation device is suitable for the compressed air energy storage system efficiency evaluation method according to any one of claims 1 to 9, and is characterized by comprising a parameter acquisition module, an efficiency calculation module, an instruction generation module and an instruction sending module; the parameter acquisition module is used for acquiring related physical parameters in the operation process of the compressed air energy storage system, and carrying out time synchronization processing on the related physical parameters to obtain synchronous operation parameters; The efficiency calculation module is used for calculating the system operation efficiency based on the synchronous operation parameters, and comparing the system operation efficiency with a preset target efficiency to obtain the efficiency deviation degree; The instruction generation module is used for responding to the efficiency deviation degree, and deducting and generating a target operation instruction for adjusting the system running state by combining external running conditions; the instruction sending module is used for sending the target operation instruction to a control end of the compressed air energy storage system to adjust the system operation working condition.

Description

Compressed air energy storage system efficiency evaluation method and device Technical Field The invention relates to the technical field of performance evaluation, in particular to a method and a device for evaluating the performance of a compressed air energy storage system. Background In modern energy systems, compressed air energy storage systems play a significant role. As a large-scale physical energy storage technology, the system plays a key role in the aspects of adjusting load, receiving more renewable energy sources and guaranteeing safe and stable operation of a power grid in a power system. Along with the transformation of global energy structures to clean and low-carbon directions, the system is increasingly and widely applied due to the advantages of large scale, long service life, environmental friendliness and the like. A compressed air energy storage system works poorly, and the economic benefit of energy storage and the reliability of power grid adjustment are directly related. Therefore, how to accurately and timely evaluate and optimize the operation performance of the compressed air energy storage system is a very central need in engineering applications. However, in practice, there are often some disadvantages associated with the prior art in evaluating the performance of a compressed air energy storage system. The current methods of evaluation generally rely solely on one or a few operating parameters of the compressed air energy storage system for rough calculations. This approach fails to deeply integrate multiple aspects of operating data, such as pressure, temperature, flow, etc., generated in real-time within the compressed air energy storage system. The result of the evaluation is often not timely enough, only one side of the problem is seen, and the real comprehensive efficiency of the compressed air energy storage system in various complex running states cannot be comprehensively reflected. More importantly, the hysteresis and one-sided evaluation also cannot provide accurate basis for real-time adjustment of the operation strategy of the compressed air energy storage system, so that the compressed air energy storage system is limited to reach an optimal state in the charging and discharging process, and further improvement of the overall energy efficiency level of the compressed air energy storage system is hindered. Disclosure of Invention Aiming at the problem that the efficiency evaluation result of the existing compressed air energy storage system is not timely and accurate because of the difficulty in integrating various operation data, the invention provides the method and the device for evaluating the efficiency of the compressed air energy storage system, which ensure the accuracy and the instantaneity of the data by acquiring the relevant physical parameters in the operation process of the system and performing time synchronization processing, and compare the data with the preset target efficiency, thereby obtaining the efficiency deviation degree, realizing the accurate quantification of the operation state of the system, deducting and generating a target operation instruction for adjusting the operation state of the system according to the efficiency deviation degree and combining the external operation condition, and sending the instruction to a control end to adjust the operation working condition of the system, thereby realizing the real-time, comprehensive and accurate evaluation of the operation efficiency of the compressed air energy storage system, obviously improving the whole efficiency level of the system by guiding the operation instruction, guaranteeing the safe and stable operation of a power grid, and providing powerful support for the acceptance of large-scale renewable energy sources. In a first aspect, the technical scheme provided in the embodiment of the invention is that the efficiency evaluation method of the compressed air energy storage system comprises the following steps: S1, acquiring related physical parameters in the operation process of a compressed air energy storage system, and performing time synchronization processing on the related physical parameters to obtain synchronous operation parameters; S2, calculating the system operation efficiency based on the synchronous operation parameters, and comparing the system operation efficiency with a preset target efficiency to obtain efficiency deviation degree; s3, deducting and generating a target operation instruction for adjusting the running state of the system based on the efficiency deviation degree and in combination with external running conditions; And S4, sending the target operation instruction to a control end of the compressed air energy storage system to adjust the system operation condition. By the technical scheme, the running efficiency of the compressed air energy storage system can be estimated comprehensively in real time, and an accurate operation instruction can be ge