Multi-energy complementary power generation system performance evaluation and optimization method

Abstract

The invention is suitable for the technical field of multi-energy complementary power generation, and provides a multi-energy complementary power generation system performance evaluation and optimization method. The method comprises the following steps: acquiring multiple pieces of real-time data from each subsystem of a wind-light-water multi-energy complementary power generation system, preprocessing the multiple pieces of real-time data, generating multiple pieces of standard data, and dividing and storing the multiple pieces of standard data; calculating index values of the plurality of evaluation indexes, determining index weights of the plurality of evaluation indexes, and calculating a multi-scale comprehensive evaluation index value; and analyzing the multi-scale comprehensive evaluation index values, generating targeted optimization suggestions, formulating optimization measures and implementation plans, and continuously optimizing and iterating. According to the method, the defects of evaluation scale and index comprehensiveness can be overcome, the objectivity, accuracy and timeliness of evaluation results are ensured, the operation characteristics and complementarity of the system under different time scales can be comprehensively reflected, and it is effectively ensured that the evaluation results can provide practical guidance and decision basis for planning and operation of the power system.

Description

Technical Field

[0001] The present invention belongs to the technical field of multi - energy complementary power generation, and particularly relates to a method for performance evaluation and optimization of a multi - energy complementary power generation system. Background Art

[0002] With the growth of energy demand and the improvement of environmental protection awareness, multi - energy complementary power generation systems have gradually become the development direction of future power systems. Such systems integrate multiple energy sources such as wind energy, solar energy, and water energy to achieve efficient utilization and complementarity of energy, thereby improving the stability and reliability of the power system.

[0003] Current research on the characteristics of multi - energy complementary power generation systems mainly focuses on calculating simple single evaluation indicators and has achieved rich results. However, there are still problems such as a single evaluation scale and chaotic indicators, which cannot comprehensively reflect the complexity and diversity of multi - energy complementary power generation systems. Specifically, they include:

[0004] (1) Single evaluation scale. It mainly relies on simple single evaluation indicators such as power generation efficiency or cost - benefit, which leads to one - sidedness and limitations of the evaluation results. Due to the lack of multi - dimensional considerations, the complexity and diversity of the system in actual operation cannot be comprehensively reflected;

[0005] (2) Chaotic indicator classification. There are problems of unclear indicator classification and inconsistent standards. Indicators of different natures are mixed together, making it difficult to effectively distinguish and compare, thus affecting the accuracy and reliability of the evaluation;

[0006] (3) Failure to fully utilize the multi - energy complementary advantage. In actual operation, due to limitations in evaluation methods and technologies, the system fails to fully exert the complementary advantages between various energy sources, resulting in low energy utilization efficiency and poor system stability, and it is difficult to adapt to changing power demands;

[0007] (4) Lack of scientific data - processing methods. Simple methods are often used for processing and analysis, lacking scientificity and objectivity, resulting in the failure to fully explore and utilize the useful information in the data, thus affecting the accurate evaluation and optimization of the system performance;

[0008] (5) Limitations of evaluation results. Evaluation results can often only reflect the performance of the system under certain specific conditions, resulting in the lack of universality and applicability of the evaluation results, and it is difficult to serve as an effective basis for guiding system design and optimization. Summary of the Invention

[0009] The purpose of the embodiments of the present invention is to provide a method for performance evaluation and optimization of a multi - energy complementary power generation system, aiming to solve the technical problems existing in the prior art mentioned in the background art.

[0010] The embodiments of the present invention are implemented as follows:

[0011] A method for performance evaluation and optimization of a multi - energy complementary power generation system, the method specifically includes the following steps:

[0012] Collect multiple real - time data from each subsystem of the wind - solar - water multi - energy complementary power generation system, and pre - process the multiple real - time data to generate multiple standard data and store them after partitioning;

[0013] Process the multiple standard data, calculate the index values of multiple evaluation indexes, determine the index weights of multiple evaluation indexes, and calculate the multi - scale comprehensive evaluation index value;

[0014] Analyze the multi - scale comprehensive evaluation index value, generate targeted optimization suggestions, formulate optimization measures and implementation plans, and continuously optimize and iterate.

[0015] As a further limitation of the technical solution of the embodiments of the present invention, the step of collecting multiple real - time data from each subsystem of the wind - solar - water multi - energy complementary power generation system, pre - processing the multiple real - time data to generate multiple standard data and storing them after partitioning specifically includes the following steps:

[0016] Collect multiple real - time data from each subsystem of the wind - solar - water multi - energy complementary power generation system;

[0017] Clean, verify and normalize the multiple real - time data to generate multiple standard data;

[0018] Partition and store the multiple standard data according to the time scales corresponding to the multiple standard data.

[0019] As a further limitation of the technical solution of the embodiments of the present invention, the multiple real - time data include wind speed, light intensity, water flow velocity and power generation.

[0020] As a further limitation of the technical solution of the embodiments of the present invention, the step of processing the multiple standard data, calculating the index values of multiple evaluation indexes, determining the index weights of multiple evaluation indexes, and calculating the multi - scale comprehensive evaluation index value specifically includes the following steps:

[0021] Process the multiple standard data according to a preset evaluation index system to calculate the index values of multiple evaluation indexes;

[0022] Determine the index weights of multiple evaluation indexes;

[0023] Calculate the multi - scale comprehensive evaluation index value according to the multiple index values and the multiple index weights.

[0024] As a further limitation of the technical solution of the embodiment of the present invention, the determining of the index weights of multiple evaluation indexes specifically includes the following steps:

[0025] Calculate the information entropy of multiple said evaluation indexes;

[0026] According to multiple said information entropies, calculate the redundancy of multiple said evaluation indexes;

[0027] According to multiple said redundancies, calculate the index weights of multiple said evaluation indexes.

[0028] As a further limitation of the technical solution of the embodiment of the present invention, the calculating of the multi-scale comprehensive evaluation index value according to multiple said index values and multiple said index weights specifically includes the following steps:

[0029] Construct a multi-scale comprehensive evaluation index calculation model;

[0030] Input multiple said index values and multiple said index weights;

[0031] Through the multi-scale comprehensive evaluation index calculation model, calculate the multi-scale comprehensive evaluation index value.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the analyzing of the multi-scale comprehensive evaluation index value to generate targeted optimization suggestions, formulating optimization measures and implementation plans, and continuously optimizing and iterating specifically includes the following steps:

[0033] Analyze the multi-scale comprehensive evaluation index value and record the evaluation index analysis result;

[0034] Analyze the actual situation of the system and the user requirements;

[0035] According to the evaluation index analysis result, the actual situation of the system and the user requirements, generate targeted optimization suggestions;

[0036] According to the targeted optimization suggestions, formulate optimization measures and implementation plans;

[0037] Continuously optimize and iterate.

[0038] As a further limitation of the technical solution of the embodiment of the present invention, the analyzing of the actual situation of the system and the user requirements specifically includes the following steps:

[0039] Collect the operation data, historical records and user feedback of the system, and analyze the current state and operation characteristics of the system;

[0040] Analyze the user requirements, including power demand, energy cost and environmental protection requirements.

[0041] As a further limitation of the technical solution of the embodiment of the present invention, generating targeted optimization suggestions according to the analysis result of the evaluation index, the actual situation of the system and the user requirements specifically includes the following steps:

[0042] Formulate a plurality of basic optimization suggestions according to the analysis result of the evaluation index and the actual situation of the system;

[0043] Conduct a cost-benefit analysis to determine the optimization goal;

[0044] According to the user requirements and the optimization goal, screen and rank the plurality of basic optimization suggestions, and select targeted optimization suggestions.

[0045] As a further limitation of the technical solution of the embodiment of the present invention, the continuous optimization and iteration specifically includes the following steps:

[0046] Continuously collect the operation data of the system and user feedback;

[0047] According to the operation data and the user feedback, monitor and evaluate the effect of the optimization measures to obtain an evaluation result;

[0048] According to the evaluation result, iteratively improve the targeted optimization suggestions.

[0049] Compared with the prior art, the beneficial effects of the present invention are:

[0050] (1) The present invention comprehensively and accurately evaluates the collaborative operation characteristics of the wind-solar-hydro multi-energy complementary power generation system, thereby making up for the deficiencies of the prior art in the evaluation scale and comprehensiveness of indicators;

[0051] (2) The present invention uses scientific methods such as the entropy weight theory to reasonably determine the weights of each evaluation index, ensuring the objectivity and accuracy of the evaluation results;

[0052] (3) The present invention can evaluate the complementary performance and load tracking ability of the system at different time scales, thereby more accurately reflecting the actual operation status of the system;

[0053] (4) The present invention constructs a set of real-time and dynamic evaluation mechanisms, which can timely adjust the evaluation index and weight with the change of the system operation state, ensuring the timeliness and accuracy of the evaluation results;

[0054] (5) The present invention constructs a set of comprehensive evaluation index systems applicable to different time scales, which can comprehensively reflect the operation characteristics and complementary performance of the system at different time scales;

[0055] (6) The present invention can combine the actual application scenarios, put forward targeted optimization suggestions and measures, and ensure that the evaluation results can provide practical guidance and decision-making basis for the power system planning and operation. Description of the Drawings

[0056] Figure 1 The figure shows a flowchart of the method for evaluating and optimizing the performance of a multi - energy complementary power generation system provided by an embodiment of the present invention. Detailed Embodiments

[0057] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] It can be understood that the current research on the characteristics of multi - energy complementary power generation systems mainly focuses on calculating simple single evaluation indicators and has achieved fruitful results. However, there are still problems such as a single evaluation scale and chaotic indicators, which cannot comprehensively reflect the complexity and diversity of multi - energy complementary power generation systems. Specifically, they include: (1) Single evaluation scale. It mainly relies on simple single evaluation indicators, such as power generation efficiency or cost - effectiveness, which leads to the one - sidedness and limitations of evaluation results. Due to the lack of multi - dimensional considerations, the complexity and diversity of the system in actual operation cannot be fully reflected; (2) Chaotic indicator classification. There are problems of unclear indicator classification and inconsistent standards. Different - nature indicators are mixed together, making it difficult to effectively distinguish and compare, thus affecting the accuracy and reliability of evaluation; (3) Failure to fully utilize the multi - energy complementary advantage. In actual operation, due to limitations in evaluation methods and technologies, the system fails to fully utilize the complementary advantages between various energy sources, resulting in low energy utilization efficiency, poor system stability, and difficulty in adapting to changing power demands; (4) Lack of scientific data - processing methods. Simple methods are often used for processing and analysis, lacking scientificity and objectivity, resulting in the failure to fully explore and utilize the useful information in the data, thus affecting the accurate evaluation and optimization of system performance; (5) Limitations of evaluation results. Evaluation results often can only reflect the performance of the system under certain specific conditions, resulting in the lack of universality and applicability of evaluation results and making it difficult to be used as an effective basis for guiding system design and optimization.

[0059] To solve the above problems, a method for performance evaluation and optimization of a multi - energy complementary power generation system disclosed in an embodiment of the present invention collects multiple real - time data from each subsystem of the wind - solar - water multi - energy complementary power generation system, pre - processes the multiple real - time data, generates multiple standard data and divides and stores them; calculates the index values of multiple evaluation indexes, determines the index weights of multiple evaluation indexes, and calculates the multi - scale comprehensive evaluation index value; analyzes the multi - scale comprehensive evaluation index value, generates targeted optimization suggestions, formulates optimization measures and implementation plans, and continuously optimizes and iterates. It can make up for the deficiencies in the evaluation scale and comprehensiveness of indexes, ensure the objectivity, accuracy and timeliness of the evaluation results, can comprehensively reflect the operation characteristics and complementary performance of the system under different time scales, and effectively ensure that the evaluation results can provide practical guidance and decision - making basis for power system planning and operation.

[0060] Specifically, Figure 1 FIG. shows the flowchart of the method for performance evaluation and optimization of the multi - energy complementary power generation system provided by the embodiment of the present invention.

[0061] In a preferred embodiment provided by the present invention, a method for performance evaluation and optimization of a multi - energy complementary power generation system specifically includes the following steps:

[0062] Step S101: Collect multiple real - time data from each subsystem of the wind - solar - water multi - energy complementary power generation system, and pre - process the multiple real - time data to generate multiple standard data and divide and store them.

[0063] In the embodiment of the present invention, by collecting real - time data from each subsystem of the wind - solar - water multi - energy complementary power generation system, including wind speed, light intensity, water flow speed, power generation, etc., the data collection process is realized through the communication interface between the server and each subsystem to ensure the accuracy and real - time of the data. Then, the collected data is subjected to cleaning, verification and normalization processing to eliminate outliers and noise, improve the data quality, and further divide and store the processed data according to different time scales to provide a basis for subsequent calculations and analyses.

[0064] Step S102: Process the multiple standard data, calculate the index values of multiple evaluation indexes, determine the index weights of multiple evaluation indexes, and calculate the multi - scale comprehensive evaluation index value.

[0065] In the embodiments of the present invention, according to a preset evaluation index system, the values of each single evaluation index are calculated. (For example, the volatility index can be measured by calculating the standard deviation of the power generation within a certain period; the complementarity index can be measured by calculating the correlation coefficient between different energy sources; the persistence index can be measured by calculating the stability of the power generation within a certain time; the load tracking ability index can be measured by calculating the matching degree between the system power generation and the actual load demand), and then scientific methods such as the entropy weight theory are used to determine the weights of each evaluation index. (The entropy weight theory is a method for determining weights based on information entropy, which determines the weights according to the amount of information of each evaluation index), and then according to the weights and the values of the single evaluation indexes, the value of the multi-scale comprehensive evaluation index is calculated.

[0066] Specifically, the steps for determining the weights of each evaluation index by using scientific methods such as the entropy weight theory are as follows:

[0067] Step 1: Calculate the information entropy of each evaluation index: Information entropy is a measure of the uncertainty of information. The larger the information entropy, the greater the amount of information of this index and the greater the impact on the comprehensive evaluation.

[0068] Step 2: Calculate the redundancy of each evaluation index according to the information entropy: Redundancy is the complement of information entropy, which reflects the contribution degree of each evaluation index in the comprehensive evaluation.

[0069] Step 3: Calculate the weights of each evaluation index according to the redundancy: The weight is the normalized result of the redundancy, which reflects the importance degree of each evaluation index in the comprehensive evaluation.

[0070] Specifically, the steps for calculating the value of the multi-scale comprehensive evaluation index according to the weights and the values of the single evaluation indexes are as follows:

[0071] Step 1: Construct a calculation model for the multi-scale comprehensive evaluation index, which should be able to comprehensively consider the values and weights of each single evaluation index and calculate the value of the multi-scale comprehensive evaluation index.

[0072] Step 2: Input the calculated values and weights of the single evaluation indexes into the model.

[0073] Step 3: Calculate the value of the multi-scale comprehensive evaluation index through the model, and this value reflects the comprehensive performance of the wind-solar-hydro multi-energy complementary power generation system at multiple time scales.

[0074] Step S103: Analyze the value of the multi-scale comprehensive evaluation index, generate targeted optimization suggestions, formulate optimization measures and implementation plans, and continuously optimize and iterate.

[0075] In the embodiments of the present invention, the multi-scale comprehensive evaluation index values are analyzed to identify the performance bottlenecks and potential improvement points of the system at different time scales. Then, the operation data, historical records, and user feedback of the system are collected to understand the current state and operation characteristics of the system. Moreover, the user requirements are analyzed, including aspects such as power demand, energy cost, and environmental protection requirements, to clarify the optimization objectives. Furthermore, based on the analysis results of the evaluation indexes and the actual situation of the system, targeted optimization suggestions are put forward. These suggestions may include adjusting the energy distribution ratio, optimizing the operation parameters of equipment, introducing new energy storage technologies, etc. For each optimization suggestion, a detailed cost-benefit analysis is carried out to evaluate its feasibility and economy. Then, according to the user requirements and optimization objectives, the optimization suggestions are screened and sorted to ensure that the proposed suggestions meet the user's expectations and the actual situation of the system. For the selected optimization suggestions, specific optimization measures and implementation plans are formulated. These measures should include specific operation steps, required resources, time nodes, etc. By communicating with the system operator and users, it is ensured that the optimization measures and implementation plans are understood and accepted. Then, according to the implementation plan, the implementation of the optimization measures is gradually promoted. At the same time, the implementation effect is monitored and evaluated. During the implementation process, the operation data of the system and user feedback are continuously collected to monitor and evaluate the effect of the optimization measures. According to the evaluation results, the optimization suggestions are iterated and improved to ensure the continuous improvement of the system performance.

[0076] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown sequentially according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily have to be executed at the same moment, but can be executed at different moments. The execution order of these sub-steps or stages does not necessarily have to be sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0077] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. 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. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0078] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

Claims

1. A method for performance evaluation and optimization of a multi-energy complementary power generation system, characterized in that: The method specifically comprises the following steps: Collect multiple real-time data from each subsystem of the wind-solar-water multi-energy complementary power generation system, pre-process the multiple real-time data, generate multiple standard data and divide and store them; Processing a plurality of the standard data, calculating the index values ​​of a plurality of evaluation indexes, determining the index weights of the plurality of evaluation indexes, and calculating the multi-scale comprehensive evaluation index value; Analyze the multi-scale comprehensive evaluation index values, generate targeted optimization suggestions, formulate optimization measures and implementation plans, and continuously optimize and iterate.

2. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 1, characterized in that: The method of collecting a plurality of real-time data from each subsystem of the wind-solar-water multi-energy complementary power generation system, preprocessing the plurality of real-time data, generating a plurality of standard data and dividing and storing them specifically comprises the following steps: Collect multiple real-time data from each subsystem of the wind-solar-water multi-energy complementary power generation system; Cleaning, verifying and normalizing the plurality of real-time data to generate a plurality of standard data; The plurality of standard data are divided and stored according to the time scales corresponding to the plurality of standard data.

3. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 2, characterized in that: The real-time data include wind speed, light intensity, water flow speed and power generation.

4. The multi-energy complementary power generation system performance evaluation and optimization method according to claim 1 is characterized in that: The processing of the plurality of standard data, calculating the index values ​​of the plurality of evaluation indexes, and determining the index weights of the plurality of evaluation indexes, and calculating the multi-scale comprehensive evaluation index value specifically comprises the following steps: According to a preset evaluation index system, the plurality of standard data are processed to calculate the index values ​​of the plurality of evaluation indexes; Determine the indicator weights of multiple evaluation indicators; A multi-scale comprehensive evaluation index value is calculated according to the multiple index values ​​and the multiple index weights.

5. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 4, characterized in that: Determining the indicator weights of multiple evaluation indicators specifically includes the following steps: Calculating the information entropy of a plurality of the evaluation indicators; Calculating the redundancy of the plurality of evaluation indicators according to the plurality of information entropies; According to the multiple redundancies, the indicator weights of the multiple evaluation indicators are calculated.

6. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 4, characterized in that: The step of calculating the multi-scale comprehensive evaluation index value according to the plurality of index values ​​and the plurality of index weights specifically comprises the following steps: Construct a multi-scale comprehensive evaluation index calculation model; Input a plurality of the indicator values ​​and a plurality of the indicator weights; The multi-scale comprehensive evaluation index value is calculated by the multi-scale comprehensive evaluation index calculation model.

7. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 1, characterized in that: The analysis of the multi-scale comprehensive evaluation index values, the generation of targeted optimization suggestions, the formulation of optimization measures and implementation plans, and the continuous optimization and iteration specifically include the following steps: Analyze the multi-scale comprehensive evaluation index value and record the evaluation index analysis result; Analyze the actual system situation and user needs; Generate targeted optimization suggestions based on the analysis results of the evaluation indicators, the actual situation of the system and the user needs; Formulate optimization measures and implementation plans based on the targeted optimization suggestions; Continuous optimization and iteration.

8. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 7, characterized in that: The analysis system actual situation and user needs specifically include the following steps: Collect system operation data, historical records, and user feedback, and analyze the system's current status and operating characteristics; Analyze user needs, including power demand, energy costs, and environmental requirements.

9. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 7, characterized in that: The step of generating targeted optimization suggestions according to the analysis results of the evaluation index, the actual system conditions and the user needs specifically includes the following steps: Formulate multiple basic optimization suggestions based on the analysis results of the evaluation indicators and the actual situation of the system; Conduct cost-benefit analysis and determine optimization goals; According to the user needs and the optimization goals, the multiple basic optimization suggestions are screened and sorted, and targeted optimization suggestions are selected.

10. The method for performance evaluation and optimization of a multi-energy complementary power generation system according to claim 7, characterized in that: The continuous optimization and iteration specifically includes the following steps: Continuously collect system operation data and user feedback; Monitor and evaluate the effects of the optimization measures according to the operating data and the user feedback, and obtain evaluation results; According to the evaluation results, the targeted optimization suggestions are iteratively improved.

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