Optimized scheduling method and device for integrated energy storage system

Abstract

The invention relates to the technical field of optimal scheduling of energy storage systems, and particularly discloses an optimal scheduling method and device for an integrated energy storage system, which comprises optimal scheduling analysis of the integrated energy storage system. By accurately collecting energy load parameters and power generation equipment parameters, comprehensively considering constitution factors of power generation cost, scientifically calculating power generation equipment optimization scheduling coefficients and establishing a perfect optimization scheduling evaluation and feedback mechanism based on the power generation equipment optimization scheduling coefficients, efficient, stable and economical operation of the comprehensive energy storage system is realized. According to the method, the measured value and the predicted value of the power load can be accurately obtained, the comprehensive power generation cost of the power generation equipment is comprehensively analyzed, the total cost optimization function and the power generation equipment optimization scheduling coefficient are reasonably determined, and effective scheduling evaluation and optimization operation are performed according to system operation requirements and historical data; therefore, the problems of inaccurate load monitoring, incomplete power generation cost calculation, untimely scheduling evaluation and feedback and the like in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of optimal scheduling of energy storage systems, and specifically refers to an optimal scheduling method and device for an integrated energy storage system. Background Art

[0002] With the continuous growth of energy demand and the increasing complexity of the energy structure, the integrated energy storage system plays a crucial role in modern energy supply. The integrated energy system needs to ensure the reliability, economy, and environmental friendliness of energy supply while meeting diverse energy demands. However, the current energy system scheduling often faces many challenges. On the one hand, the power load demand has large volatility and uncertainty, and it is difficult to accurately grasp the real-time and future load changes only relying on traditional monitoring means. On the other hand, the operating costs of power generation equipment are affected by various factors, including fuel costs, equipment maintenance costs, etc., but the existing scheduling methods are often too simplified in cost accounting and cannot fully reflect the actual operating costs of power generation equipment, resulting in the scheduling scheme may not achieve the optimal cost.

[0003] In the prior art, the monitoring and prediction of power load demand are not accurate enough. Some systems only rely on a single monitoring means to obtain power load data and cannot comprehensively understand the energy load situation of the system. This makes it difficult to effectively respond to load changes in advance during power generation equipment scheduling, easily causing power supply and demand imbalance, affecting the stability and reliability of the system. In addition, the existing scheduling schemes often lack an effective evaluation and timely feedback mechanism for the scheduling effect. It is impossible to accurately judge whether the current scheduling is reasonable, nor can the scheduling strategy be adjusted in a timely manner according to the actual operating conditions of the system. When problems occur in the scheduling of power generation equipment, such as too high power generation costs or power supply and demand imbalance, it is impossible to quickly respond and optimize, easily leading to low system operation efficiency or even failures.

[0004] Therefore, there is an urgent need for an optimal scheduling method for an integrated energy storage system to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an optimal scheduling method and device for an integrated energy storage system to solve the problems raised in the above background.

[0006] The purpose of the present invention can be achieved by the following technical solutions: An optimal scheduling method for an integrated energy storage system, including the following steps: Step 1, collecting energy load parameters: The power load demand of each monitoring period in each monitoring area corresponding to the integrated energy storage system is measured and data is collected in real time through a power load monitor, and the power load demand of each monitoring area corresponding to the integrated energy storage system in each monitoring period is obtained, denoted as , the power load prediction software generates the power load prediction values for each monitoring period in each monitoring area of the integrated energy storage system based on time series analysis and economic activity data, denoted as ; Step 2: Obtain power generation equipment parameters: Number and register each power generation equipment in each monitoring area of the integrated energy storage system, and record the basic information and operating parameters of each power generation equipment at the same time. Data monitoring and collection of the power generation power of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period are carried out through the power transmitters installed at the output ends of each power generation equipment, and the power generation power of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period is obtained, denoted as , and at the same time, obtain the rated maximum power generation power of each power generation equipment in each monitoring area of the integrated energy storage system, denoted as ; Step 3: Determine the comprehensive power generation cost function: Obtain the fuel cost, fuel consumption rate, and fuel treatment cost of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period, denoted as respectively. Carry out comprehensive analysis on the power generation power of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period and the above parameters to obtain the fuel cost function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period; At the same time, obtain the equipment maintenance frequency and component replacement cost of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period and carry out comprehensive analysis to obtain the operation and maintenance cost function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period; By summing up the fuel cost function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period and the operation and maintenance cost function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period, the comprehensive power generation cost function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period is obtained; Step 4: Determine the total cost optimization function: Through comprehensive analysis of the power generation power of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period and the comprehensive power generation cost function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period, the total cost optimization function of each power generation equipment in each monitoring area of the integrated energy storage system for each monitoring period is obtained, where represents the duration of each monitoring period; Step 5. Analyze and calculate the optimal dispatching coefficient of power generation equipment: First, analyze and determine the optimal power generation of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system, denoted as ; By sorting the comprehensive power generation cost functions of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system in ascending order, re-number the sorted power generation equipment, and calculate and analyze the power load demand in each monitoring period of each monitoring area of the integrated energy storage system to obtain the optimal power generation of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; According to the formula calculate the optimal dispatching coefficient of the power generation equipment corresponding to each monitoring period of each power generation equipment in each monitoring area of the integrated energy storage system , , which represents the weight coefficient set according to the power generation cost, represents the maximum power generation cost when each power generation equipment operates at the rated power generation to meet the power load demand, represents the total time period for optimizing the dispatching of the integrated energy storage system; Step 6. Optimize the dispatching analysis of the integrated energy storage system: Set the threshold of the optimal dispatching coefficient of the power generation equipment according to the operation requirements and historical data of the integrated energy storage system, denoted as ; Compare and analyze the optimal dispatching coefficient of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system with the set threshold of the optimal dispatching coefficient of the power generation equipment to obtain the optimal dispatching status signal of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; Step 7. Execute the optimal dispatching of the integrated energy storage system: Perform information feedback and execute optimization measures according to the received optimal dispatching status signal of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system.

[0007] Furthermore, in the above Step 1, i represents the number of each monitoring period, i = 1, 2,..., n, and n represents the total number of the numbers of each monitoring period; the energy load parameters of each monitoring period in each monitoring area of the integrated energy storage system are jointly composed of the power load demand value and the power load prediction value of each monitoring period in each monitoring area of the integrated energy storage system.

[0008] Furthermore, in the above Step 2, j represents the number of each power generation equipment, j = 1, 2,..., m, and m represents the total number of the numbers of each power generation equipment.

[0009] Further, in the third step, the specific analysis method of the fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is as follows: According to the formula The fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is obtained .

[0010] Further, in the third step, the operation and maintenance cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system The specific analysis method is as follows: The equipment maintenance frequency and parts replacement cost of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system are respectively denoted as , and according to the formula The operation and maintenance cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is obtained .

[0011] Further, in the fourth step, the power load demand and power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system are constrained, and are respectively denoted as and .

[0012] Further, in the fifth step, the calculation and analysis method of the power load demand of each monitoring period in each monitoring area of the integrated energy storage system is as follows: The power generation power is allocated from the power generation devices with the lowest integrated power generation cost. If , only the first power generation device is enabled. At this time, the optimal power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; where, g = 1, 2,..., f, g represents the number of each power generation device after sorting, and f represents the total number of the numbers of each power generation device after sorting; If , the optimal power generation power of the g-th power generation device corresponding to each monitoring period , and at this time, the first g - 1 power generation devices corresponding to each monitoring period in each monitoring area of the integrated energy storage system generate electricity at the maximum power , and the g-th and subsequent power generation devices including the g-th power generation device are not enabled; where, represents the rated maximum power generation power of each power generation device after re - sorting the numbers.

[0013] Further, in step six, for the power generation equipment optimization scheduling coefficients of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the set threshold of the power generation equipment optimization scheduling coefficient are compared and analyzed in the following specific manner: When it indicates that the optimization scheduling situation of the current power generation equipment is not ideal, and further optimization scheduling is required. By analyzing the power generation costs and power supply and demand states of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system, a power generation cost optimization scheduling signal and a load regulation optimization scheduling signal are generated. The power generation cost optimization scheduling signal and the load regulation optimization scheduling signal together form the optimization scheduling status signal of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; When it indicates that the optimization scheduling situation of the current power generation equipment is in a normal state, and large-scale optimization scheduling operations are not required temporarily. Record the power generation equipment optimization scheduling coefficients of each monitoring period . If the power generation equipment optimization scheduling coefficient shows a continuous downward trend, then the numerical changes in the power generation cost part and the power supply and demand balance part in each monitoring period can be analyzed in advance, and fine-tuning can be performed in advance on the continuously decreasing part.

[0014] Further, in step seven, when the execution terminal receives the power generation cost optimization scheduling signal, reorder each power generation equipment according to the power generation cost, and preferentially use the equipment with low power generation cost, while reducing the power generation power of each power generation equipment; when the execution terminal receives the load regulation optimization scheduling signal, optimize the accuracy of the power load prediction value by introducing more data of influencing factors into the power load prediction software, and at the same time give priority to increasing the power generation power of the power generation equipment with fast response to load changes when there is a power shortage; when the execution terminal receives both the power generation cost optimization scheduling signal and the load regulation optimization scheduling signal at the same time, at this time, take the above two optimization measures simultaneously to comprehensively optimize the scheduling and operation of the power generation equipment.

[0015] Further, an optimization scheduling device applied to the above integrated energy storage system optimization scheduling method includes an energy storage optimization parameter acquisition module, a comprehensive power generation cost analysis module, a total cost optimization scheduling analysis module, an equipment optimization scheduling analysis module, a system optimization scheduling evaluation module, and an optimization scheduling status feedback execution terminal; The energy storage optimization parameter acquisition module monitors and collects in real time through monitoring instruments the power load demands of each monitoring area of the integrated energy storage system corresponding to each monitoring period and the power generation powers of each power generation equipment corresponding to each monitoring area of the integrated energy storage system corresponding to each monitoring period; The comprehensive power generation cost analysis module calculates and analyzes based on the fuel cost function and operation and maintenance cost function of each power generation device in each monitoring period corresponding to each monitoring area of the integrated energy storage system, and obtains the comprehensive power generation cost function of each power generation device in each monitoring area of the integrated energy storage system corresponding to each monitoring period; The total cost optimization scheduling analysis module comprehensively analyzes the power generation power of each power generation device in each monitoring period corresponding to each monitoring area of the integrated energy storage system and the comprehensive power generation cost function of each power generation device in each monitoring period corresponding to each monitoring area of the integrated energy storage system, and obtains the total cost optimization function of each power generation device in each monitoring area of the integrated energy storage system corresponding to each monitoring period; The device optimization scheduling analysis module comprehensively calculates and analyzes based on the total cost optimization function of each power generation device in each monitoring period corresponding to each monitoring area of the integrated energy storage system and the power load demand of each monitoring period corresponding to each monitoring area of the integrated energy storage system, and obtains the power generation device optimization scheduling coefficient of each power generation device in each monitoring area of the integrated energy storage system corresponding to each monitoring period; The system optimization scheduling evaluation module conducts a comparative analysis based on the power generation device optimization scheduling coefficient of each power generation device in each monitoring period corresponding to each monitoring area of the integrated energy storage system and the set power generation device optimization scheduling coefficient threshold, and obtains the optimization scheduling status signal of each power generation device in each monitoring area of the integrated energy storage system corresponding to each monitoring period; The optimization scheduling status feedback execution terminal conducts information feedback and executes optimization measures based on the optimization scheduling status signal of each power generation device in each monitoring period corresponding to each monitoring area of the integrated energy storage system.

[0016] Advantages of the present invention: 1. In the present invention, by comprehensively considering the fuel cost and operation and maintenance cost to determine the comprehensive power generation cost function of each power generation device in each monitoring period, it can comprehensively reflect the actual operation cost of the power generation device, avoid the problem of inaccurate cost calculation caused by only considering a single cost factor, and thus provide a more reliable cost basis for subsequent optimization scheduling; then, based on the power generation power and comprehensive power generation cost function of each power generation device, the total cost optimization function is determined, and the power load demand and power generation power are constrained, which can ensure the balance of power supply and demand while considering the power generation cost, and provide a scientific quantitative standard for finding the optimal power generation device optimization scheduling scheme through reasonable optimization function setting.

[0017] 2. In the present invention, the optimal power generation of each power generation device in each monitoring period is determined through analysis, and the power generation devices are re-numbered and power allocated according to the comprehensive power generation cost function, and then the optimized scheduling coefficient of the power generation device is calculated. This calculation method of the optimized scheduling coefficient based on cost and power allocation can comprehensively evaluate the scheduling effect of the power generation device, providing a quantitative index for judging whether the current scheduling is reasonable; finally, the optimized scheduling coefficient threshold of the power generation device is set according to the operation requirements and historical data of the system, and the current coefficient is compared with the threshold for analysis, so as to timely judge whether the optimized scheduling of the current power generation device is ideal, and generate corresponding optimized scheduling signals according to different comparison results for targeted optimized scheduling operations. At the same time, for the situation where the scheduling is normal but the coefficient shows a continuous downward trend, fine-tuning can also be carried out in advance to effectively avoid the situation of out-of-control optimized scheduling of the system and ensure the stable and efficient operation of the integrated energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below with reference to the accompanying drawings.

[0019] Figure 1 is a flowchart of an optimized scheduling method for an integrated energy storage system of the present invention; Figure 2 is a schematic block diagram of an optimized scheduling device for an integrated energy storage system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Please refer to Figure 1 As shown, the present invention is an optimized scheduling method for an integrated energy storage system, including the following steps: Step 1. Collect energy load parameters: The power load requirements of each monitoring period in each monitoring area corresponding to the integrated energy storage system are measured and data collected in real time through a power load monitor, and the power load requirements of each monitoring area corresponding to the integrated energy storage system in each monitoring period are obtained, denoted as , and the power load prediction values of each monitoring period in each monitoring area corresponding to the integrated energy storage system are generated through a power load prediction software based on time series analysis and economic activity data, denoted as ; Wherein, i represents the number of each monitoring period, i=1,2,...,n, and n represents the total number of numbers of each monitoring period; the energy load parameters of the integrated energy storage system corresponding to each monitoring area in each monitoring period are composed of the power load demand value and the power load forecast value of the integrated energy storage system corresponding to each monitoring area in each monitoring period.

[0022] It should be noted that through the power load monitoring instrument and prediction software, the measured value and predicted value of the power load demand of the integrated energy storage system corresponding to each monitoring area and each monitoring period can be obtained at the same time. This two-pronged approach helps to have a more comprehensive understanding of the energy load situation of the system. The measured value reflects the current actual power consumption, while the predicted value can make an estimate of future load changes in advance, providing a more sufficient data basis for subsequent optimization and scheduling.

[0023] Step 2, obtain the parameters of the power generation equipment: number and register each power generation equipment in each monitoring area of ​​the integrated energy storage system, and record the basic information and operating parameters of each power generation equipment. Through the power transmitter installed at the output end of each power generation equipment, the power generation power of each power generation equipment in each monitoring area of ​​the integrated energy storage system corresponding to each monitoring period is monitored and collected, and the power generation power of each power generation equipment in each monitoring area of ​​the integrated energy storage system corresponding to each monitoring period is obtained, which is recorded as , and at the same time obtain the rated maximum power generation of each power generation equipment in each monitoring area of ​​the integrated energy storage system, recorded as ; Wherein, j represents the serial number of each power generation equipment, j=1,2,…,m, and m represents the total number of serial numbers of each power generation equipment.

[0024] It should be noted that by numbering and registering each power generation equipment, and recording its basic information and operating parameters, and using power transmitters to accurately monitor the power generation of each power generation equipment in each monitoring period, this detailed parameter acquisition method can accurately grasp the operating status of the power generation equipment, ensuring that the actual situation of each equipment can be fully considered during the optimization and scheduling process, avoiding unreasonable scheduling due to insufficient understanding of the equipment situation.

[0025] Step 3: Determine the comprehensive power generation cost function: Obtain the fuel cost, fuel consumption rate and fuel processing cost of each power generation equipment in each monitoring area of ​​the comprehensive energy storage system corresponding to each monitoring period, respectively recorded as , the power generation power of each power generation equipment in each monitoring area of ​​the integrated energy storage system corresponding to each monitoring period and the above parameters are comprehensively analyzed to obtain the fuel cost function of each power generation equipment in each monitoring area of ​​the integrated energy storage system corresponding to each monitoring period. The specific analysis method is as follows: According to the formula Obtain the fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; Obtain the equipment maintenance frequency and component replacement cost of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, denoted as respectively. According to the formula obtain the operation and maintenance cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; Finally, by summing up the fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the operation and maintenance cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system calculate the comprehensive power generation cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; Step 4. Determine the total cost optimization function: Through comprehensive analysis of the power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the comprehensive power generation cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, obtain the total cost optimization function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system , where represents the duration of each monitoring period; At the same time, constrain the power load demand and power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, denoted as ; Step 5. Analyze and calculate the optimal dispatching coefficient of the power generation device: First, analyze and determine the optimal power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, denoted as ; By sorting the comprehensive power generation cost functions of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system in ascending order, re-number the sorted power generation devices; For the power load demand of each monitoring period in each monitoring area of the integrated energy storage system, allocate the power generation power from the power generation devices with the lowest comprehensive power generation cost function. If , only the first power generation device is enabled. At this time, the optimal power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; where \(g = 1, 2, \cdots, f\), \(g\) represents the number of each power generation device after sorting, and \(f\) represents the total number of the numbers of each power generation device after sorting.

[0026] If , then the optimal power generation power of the \(g\)-th power generation device corresponding to each monitoring period is . At this time, the integrated energy storage system corresponds to the first \(g - 1\) power generation devices in each monitoring area, and each monitoring period generates electricity at the maximum power . The power generation devices including the \(g\)-th power generation device after the \(g\)-th one are not enabled; where represents the rated maximum power generation power of each power generation device after re - sorting the numbers; According to the formula Calculate the optimal scheduling coefficient of the power generation device corresponding to each monitoring area of the integrated energy storage system and each monitoring period of each power generation device , , which represents the weight coefficient set according to the power generation cost, represents the maximum power generation cost when each power generation device operates at the rated power generation power to meet the power load demand, represents the total time period for optimizing the scheduling of the integrated energy storage system, which can be obtained by multiplying the total number of each monitoring period by the time interval of the monitoring period.

[0027] Step Six: Optimization Scheduling Analysis of the Integrated Energy Storage System: Set the threshold of the optimal scheduling coefficient of the power generation device according to the operation requirements of the integrated energy storage system and historical data, denoted as ; Specifically, by statistically analyzing the values of the optimal scheduling coefficients of the power generation devices during the stable and efficient operation of the integrated energy storage system in the past period of time , take the value of the average increased by three percentage points as the threshold of the optimal scheduling coefficient of the power generation device.

[0028] Compare and analyze the optimal scheduling coefficient of the power generation device corresponding to each monitoring area of the integrated energy storage system and each monitoring period of each power generation device with the set threshold of the optimal scheduling coefficient of the power generation device to obtain the optimal scheduling status signal of the power generation device corresponding to each monitoring area of the integrated energy storage system and each monitoring period of each power generation device. The specific comparison and analysis method is as follows: When , it indicates that the optimal scheduling situation of the current power generation device is not ideal and further optimization scheduling is required. At this time, by comparing the power generation cost part in the calculation formula of the optimal scheduling coefficient of the power generation device with the set weight coefficient and the power supply - demand balance part ; ; If , it indicates that the power generation costs of the power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system are too high at this time, and the operating costs of each power generation equipment need to be further optimized and scheduled to generate a power generation cost optimization scheduling signal; If , it indicates that the power supply and demand of the power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system are seriously unbalanced at this time, and the accuracy of power load forecasting and the adjustment ability of the power generation equipment need to be further optimized and scheduled to generate a load regulation optimization scheduling signal; If , it indicates that the power generation costs of the power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system are too high at this time, and the power supply and demand are also seriously unbalanced, and a power generation cost optimization scheduling signal and a load regulation optimization scheduling signal are generated simultaneously; When , it indicates that the optimization scheduling situation of the current power generation equipment is in a normal state, and large-scale optimization scheduling operations are not required temporarily. Record the optimization scheduling coefficient of the power generation equipment for each monitoring period . If the optimization scheduling coefficient of the power generation equipment shows a continuous downward trend, the numerical changes in the power generation cost part and the power supply and demand balance part in each monitoring period can be analyzed in advance, and fine-tuning can be performed on the continuously decreasing part in advance to effectively prevent the optimization scheduling coefficient of the power generation equipment corresponding to each monitoring period of each power generation equipment in each monitoring area of the integrated energy storage system from falling below the threshold; The optimization scheduling status signals corresponding to each monitoring period of each power generation equipment in each monitoring area of the integrated energy storage system are jointly composed of the power generation cost optimization scheduling signal and the load regulation optimization scheduling signal.

[0029] Step 7: Execute the optimization scheduling of the integrated energy storage system: When the execution terminal receives the power generation cost optimization scheduling signal, reorder each power generation equipment according to the power generation cost, give priority to using the equipment with low power generation cost, and at the same time reduce the power generation power of each power generation equipment; when the execution terminal receives the load regulation optimization scheduling signal, optimize the accuracy of the power load prediction value by introducing data of more influencing factors into the power load prediction software, and at the same time give priority to increasing the power generation power of the power generation equipment with fast response to load changes during power shortage; when the execution terminal receives the power generation cost optimization scheduling signal and the load regulation optimization scheduling signal at the same time, take the above two optimization measures simultaneously at this time to comprehensively optimize the scheduling and operation of the power generation equipment.

[0030] In a specific embodiment, in the present invention, by comprehensively considering the fuel cost and operation and maintenance cost to determine the comprehensive power generation cost function of each power generation device in each monitoring period, the actual operation cost of the power generation device can be comprehensively reflected, avoiding the problem of inaccurate cost calculation caused by only considering a single cost factor, thereby providing a more reliable cost basis for subsequent optimal scheduling; then, based on the power generation power and comprehensive power generation cost function of each power generation device, the total cost optimization function is determined, and the power load demand and power generation power are constrained, which can ensure the balance of power supply and demand while considering the power generation cost. By setting reasonable optimization coefficients, a scientific quantitative standard is provided for finding the optimal power generation device optimal scheduling scheme; In addition, in the present invention, by analyzing and determining the optimal power generation power of each power generation device in each monitoring period, and re-numbering and power distribution of the power generation device according to the comprehensive power generation cost function, and then calculating the optimal scheduling coefficient of the power generation device. This calculation method of the optimal scheduling coefficient based on cost and power distribution can comprehensively evaluate the scheduling effect of the power generation device, providing a quantitative index for judging whether the current scheduling is reasonable; finally, setting the threshold of the optimal scheduling coefficient of the power generation device according to the operation requirements and historical data of the system, and comparing and analyzing the current coefficient with the threshold. In this way, it can be timely judged whether the optimal scheduling situation of the current power generation device is ideal, and corresponding optimal scheduling signals are generated according to different comparison results for targeted optimal scheduling operations. At the same time, for the situation where the scheduling is normal but the coefficient shows a continuous downward trend, fine-tuning can also be carried out in advance to effectively avoid the situation of out-of-control optimal scheduling of the system and ensure the stable and efficient operation of the integrated energy storage system. Embodiment

[0031] Please refer to Figure 2 As shown, specifically, this embodiment also discloses an integrated energy storage system optimal scheduling device applied to the integrated energy storage system optimal scheduling method in the above embodiment, including: an energy storage optimization parameter acquisition module, a comprehensive power generation cost analysis module, a total cost optimal scheduling analysis module, a device optimal scheduling analysis module, a system optimal scheduling evaluation module, and an optimal scheduling status feedback execution terminal.

[0032] The energy storage optimization parameter acquisition module monitors and acquires in real time the power load demand of each monitoring period in each monitoring area corresponding to the integrated energy storage system and the power generation power of each power generation device corresponding to each monitoring area in each monitoring period corresponding to the integrated energy storage system through monitoring instruments; The comprehensive power generation cost analysis module performs calculation and analysis based on the fuel cost function and operation and maintenance cost function of each power generation device corresponding to each monitoring area in the integrated energy storage system corresponding to each monitoring period to obtain the comprehensive power generation cost function of each power generation device corresponding to each monitoring area in the integrated energy storage system corresponding to each monitoring period; The total cost optimization scheduling analysis module comprehensively analyzes the power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the comprehensive power generation cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, and obtains the total cost optimization function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The device optimization scheduling analysis module comprehensively calculates and analyzes based on the total cost optimization function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the power load demand of each monitoring period in each monitoring area of the integrated energy storage system, and obtains the power generation device optimization scheduling coefficient of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The system optimization scheduling evaluation module conducts a comparative analysis based on the power generation device optimization scheduling coefficient of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the set threshold of the power generation device optimization scheduling coefficient, and obtains the optimization scheduling status signal of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The optimization scheduling status feedback execution terminal conducts information feedback and executes optimization measures based on the optimization scheduling status signal of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system.

[0033] The above content is only an example and illustration of the structure of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should fall within the protection scope of the present invention.

Claims

1. A comprehensive energy storage system optimal scheduling method, characterized in that It includes the following steps: Step 1, collect energy load parameters; Step 2, obtain power generation equipment parameters; Step 3, determine the comprehensive power generation cost function; Step 4, determine the total cost optimization function; Step 5. Analyze and calculate the optimization scheduling coefficient of power generation equipment: First, analyze and determine the optimal power generation power of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system, denoted as ; By ascending the comprehensive power generation cost functions of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system, re-number the sorted power generation equipment, and perform calculation and analysis on the power load demand in each monitoring period in each monitoring area of the integrated energy storage system to obtain the optimal power generation power of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; Calculate the optimization scheduling coefficient of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system according to the formula , where represents the weight coefficient set according to the power generation cost, represents the maximum power generation cost when each power generation equipment operates at the rated power generation power to meet the power load demand, and represents the total time period for optimizing the scheduling of the integrated energy storage system; Step 6. Optimization scheduling analysis of the integrated energy storage system: Set the threshold of the optimization scheduling coefficient of the power generation equipment according to the operation requirements of the integrated energy storage system and historical data, denoted as ; Compare the optimization scheduling coefficient of the power generation equipment corresponding to each monitoring period of each power generation equipment in each monitoring area of the integrated energy storage system with the set threshold of the optimization scheduling coefficient of the power generation equipment to obtain the optimization scheduling status signal of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; Step 7, perform optimized dispatching of the integrated energy storage system: according to the received optimized dispatching status signals of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system, conduct information feedback and implement optimization measures.

2. The optimal scheduling method for an integrated energy storage system according to claim 1, characterized in that: The specific process of collecting energy load parameters in the first step is as follows: Use a power load monitor to measure and collect the power load demands of each monitoring period in each monitoring area corresponding to the integrated energy storage system in real time, and obtain the power load demands of each monitoring period in each monitoring area corresponding to the integrated energy storage system, denoted as , Use power load forecasting software to generate the power load forecast values of each monitoring period in each monitoring area corresponding to the integrated energy storage system based on time series analysis and economic activity data, denoted as , where i represents the number of each monitoring period, i = 1, 2,..., n, and n represents the total number of the numbers of each monitoring period; The energy load parameters corresponding to each monitoring period in each monitoring area of the integrated energy storage system are jointly composed of the power load demand value and the power load prediction value corresponding to each monitoring period in each monitoring area of the integrated energy storage system.

3. The optimization scheduling method for an integrated energy storage system according to claim 2, wherein: The specific operation of obtaining the power generation equipment parameters in the second step is as follows: Number and register each power generation equipment in each monitoring area corresponding to the integrated energy storage system, and record the basic information and operating parameters of each power generation equipment at the same time. Through the power transmitters installed at the output ends of each power generation equipment, monitor and collect the power generation power of each power generation equipment in each monitoring area corresponding to the integrated energy storage system at each monitoring time period, and obtain the power generation power of each power generation equipment in each monitoring area corresponding to the integrated energy storage system at each monitoring time period, denoted as , and at the same time obtain the rated maximum power generation power of each power generation equipment in each monitoring area corresponding to the integrated energy storage system, denoted as , where j represents the number of each power generation equipment, j = 1, 2, ……, m, and m represents the total number of the numbers of each power generation equipment.

4. A method for optimizing the scheduling of an integrated energy storage system according to claim 3, characterized in that: In step three, the specific determination of the comprehensive power generation cost function is as follows: Obtain the fuel cost, fuel consumption rate, and fuel treatment cost of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, and record them respectively as , and comprehensively analyze the power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the above parameters to obtain the fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; At the same time, obtain the equipment maintenance frequency and component replacement cost of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system for comprehensive analysis to obtain the operation and maintenance cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; By summing up the fuel cost functions of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the operation and maintenance cost functions of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system a comprehensive power generation cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is obtained . The specific analysis method of the fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is as follows: According to the formula the fuel cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is obtained .

5. A method for optimizing the scheduling of an integrated energy storage system according to claim 4, characterized in that: In step 3, the operation and maintenance cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy energy storage system The specific analysis method is as follows: The equipment maintenance frequency and the component replacement cost of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system are respectively recorded as , and according to the formula the operation and maintenance cost function of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system is obtained .

6. The optimization scheduling method of a comprehensive energy storage system according to claim 5, characterized in that: The specific determination of the total cost optimization function in the fourth step is as follows: By comprehensively analyzing the power generation power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the comprehensive power generation cost function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system, the total cost optimization function of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system is obtained. , where represents the duration of each monitoring period; Constraints are imposed on the power load demands and power generation powers of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy energy storage system, which are respectively denoted as .

7. A method for optimizing the scheduling of an integrated energy storage system according to claim 6, characterized in that: In the fifth step, for the power load demands of each monitoring period in each monitoring area of the integrated energy energy storage system the calculation and analysis method is as follows: Distribute the generated power from each power generation device with the lowest comprehensive power generation cost function. If , only the first power generation device is enabled. At this time, the optimal generated power of each power generation device corresponding to each monitoring period in each monitoring area of the integrated energy storage system ; where g = 1, 2,..., f, g represents the number of each sorted power generation device, and f represents the total number of the sorted numbers of each power generation device; If , the optimal power generation of the g-th power generation device corresponding to each monitoring period . At this time, the integrated energy storage system corresponds to the first g-1 power generation devices in each monitoring area, and the power generation is carried out at the maximum power for each monitoring period, and the power generation devices including the g-th power generation device after the g-th one are not enabled; among them, represents the rated maximum power generation of each power generation device after resequencing and numbering.

8. The optimization scheduling method of a comprehensive energy storage system according to claim 7, characterized in that: In the sixth step, for each power generation device in each monitoring area of the integrated energy storage system corresponding to each monitoring period, the optimized scheduling coefficient of the power generation device and the set threshold of the optimized scheduling coefficient of the power generation device are compared and analyzed. The specific method is as follows: When it indicates that the optimal scheduling of the current power generation equipment is not ideal and further optimization scheduling is required. By analyzing the power generation costs and power supply and demand status of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system, an optimal scheduling signal for power generation cost and an optimal scheduling signal for load regulation are generated. The optimal scheduling signal for power generation cost and the optimal scheduling signal for load regulation jointly constitute the optimal scheduling status signal of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; When it indicates that the optimal scheduling of the current power generation equipment is in a normal state, and large-scale optimal scheduling operations are not required for the time being. Record the optimal scheduling coefficients of the power generation equipment for each monitoring period . If the optimal scheduling coefficient of the power generation equipment shows a continuous downward trend, the numerical changes in the power generation cost part and the power supply-demand balance part in each monitoring period can be analyzed in advance, and fine-tuning can be carried out in advance for the continuously decreasing part 9. A method for optimizing the scheduling of an integrated energy storage system according to claim 8, characterized in that: In the above Step 7, when the execution terminal receives the power generation cost optimized dispatching signal, re - sort each power generation equipment according to the power generation cost, give priority to using the equipment with low power generation cost, and at the same time reduce the power generation power of each power generation equipment; when the execution terminal receives the load regulation optimized dispatching signal, optimize the accuracy of the power load prediction value by introducing data of more influencing factors into the power load prediction software, and at the same time give priority to increasing the power generation power of the power generation equipment with fast response to load changes during power shortage; when the execution terminal receives both the power generation cost optimized dispatching signal and the load regulation optimized dispatching signal, simultaneously take the above two optimization measures to comprehensively optimize the dispatching and operation of the power generation equipment.

10. An optimal scheduling device for the optimal scheduling method of the integrated energy storage system described in claim 9, characterized in that, It includes an energy storage optimization parameter acquisition module, a comprehensive power generation cost analysis module, a total cost optimized dispatching analysis module, an equipment optimized dispatching analysis module, a system optimized dispatching evaluation module, and an optimized dispatching status feedback execution terminal; The energy storage optimization parameter acquisition module uses monitoring instruments to monitor and collect in real - time the power load demand corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the power generation power corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The comprehensive power generation cost analysis module conducts calculation and analysis based on the fuel cost function and the operation and maintenance cost function corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system to obtain the comprehensive power generation cost function corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The total cost optimized dispatching analysis module conducts comprehensive analysis on the power generation power corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the comprehensive power generation cost function corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system to obtain the total cost optimization function corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The equipment optimized dispatching analysis module conducts comprehensive calculation and analysis based on the total cost optimization function corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the power load demand corresponding to each monitoring period in each monitoring area of the integrated energy storage system to obtain the optimized dispatching coefficient of the power generation equipment corresponding to each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The system optimization scheduling evaluation module conducts a comparative analysis based on the power generation equipment optimization scheduling coefficients of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system and the set threshold of the power generation equipment optimization scheduling coefficients, and obtains the optimization scheduling status signals of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system; The optimization scheduling status feedback execution terminal conducts information feedback and executes optimization measures based on the optimization scheduling status signals of each power generation equipment corresponding to each monitoring period in each monitoring area of the integrated energy storage system.

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