Capacity configuration method for mining hybrid emergency power supply system, medium and program product

Abstract

The invention discloses a mining hybrid emergency power supply system capacity configuration method, a medium and a program product, and relates to the technical field of load power supply. According to the method, time-power curve data of load operation in a preset period and steady-state power and response time required by the hybrid emergency power supply system are acquired as input variables, and the steady-state power and the response time are iteratively optimized by using a differential evolution algorithm, so that a target fitness function is optimal, and the target fitness function is optimized. Finally, the configuration capacity of the diesel generator and the configuration capacity of the energy storage system are determined according to the obtained target steady-state power and the target response time, and the steady-state power and the response time obtained through the multi-target optimization configuration scheme conform to the actual operation characteristics of the load; and the hybrid emergency power supply system has strong response capability and more appropriate response speed, so that better comprehensive response performance is achieved.

Description

Technical Field

[0001] This invention relates to the field of load power supply technology, and in particular to a method, medium, and program product for configuring the capacity of a hybrid emergency power supply system for mining. Background Technology

[0002] The underground working environment in coal mines is complex, making the safety, reliability, and continuous operation of loads such as main ventilation fans, auxiliary shaft hoists, and main drainage pumps particularly crucial. In the event of a power outage, emergency power must be activated immediately; otherwise, catastrophic consequences such as gas accumulation, mine flooding, and information disruption can easily occur. Therefore, a stable and reliable emergency power system is of paramount importance for safe production in coal mines.

[0003] The common emergency power supply solution is to configure diesel generator sets, but there are the following problems: (1) Due to the existence of impact loads in Class I loads of coal mines, the short-term impact peak can reach 1.6 to 1.7 times the steady-state power average, which means that the installed power of the diesel generator set is much higher than the rated power of the load when configuring emergency power supply; (2) The diesel generator set has poor response capability to impact loads, and the output voltage and current waveforms are severely distorted, making it difficult to ensure the long-term stable operation of Class I loads in coal mines such as auxiliary shaft hoists in emergency situations; (3) It takes 5 to 30 seconds for the diesel generator set to switch from hot standby mode to emergency power supply mode, which is a long response time. The emergency power supply system composed of pure energy storage has higher power quality, which can not only respond well to impact loads, but also does not require preheating and can instantly support key equipment such as ventilation and drainage, avoiding the risk of cold start failure of diesel generator sets. However, the power supply system has limited endurance, and the emergency power supply time is limited by the battery capacity, making it difficult to meet the power supply needs during long-term power outages. Considering the advantages and disadvantages of existing emergency power solutions, a hybrid emergency power system consisting of a diesel generator and an energy storage system is proposed for power supply. However, how to configure the capacity of the hybrid emergency power system to achieve better response performance is an urgent technical problem to be solved. Summary of the Invention

[0004] To address the aforementioned issues, this invention provides a method, medium, and program product for configuring the capacity of a hybrid emergency power supply system for mining, enabling the hybrid emergency power supply system to achieve superior response performance.

[0005] The first aspect discloses a method for configuring the capacity of a hybrid emergency power system for mining, executed by the hybrid emergency power system, which includes a diesel generator and an energy storage system. The method includes:

[0006] Obtain the time-power curve data of the load operation within a preset period. The time-power curve is used to represent the correspondence between time and load operation power within a period.

[0007] Using the required steady-state power and response time of the hybrid emergency power system as input variables, the steady-state power and response time are iteratively optimized using a differential evolution algorithm to optimize the target fitness function, thereby obtaining the target steady-state power and target response time. The target fitness function is used to represent the comprehensive evaluation factor of the hybrid emergency power system.

[0008] The configuration capacity of the diesel generator and the configuration capacity of the energy storage system are determined based on the target steady-state power, target response time, and time-power curve data.

[0009] The second aspect discloses an electronic device including a processor and a memory, the memory storing a computer program that, when executed, implements the capacity configuration method for a mining hybrid emergency power supply system as disclosed in the first aspect or any possible implementation thereof.

[0010] The third aspect discloses a computer-readable storage medium storing a computer program or computer instructions that, when executed, implement the capacity configuration method for a mining hybrid emergency power supply system as disclosed in the first aspect or any possible implementation thereof.

[0011] The fourth aspect discloses a computer program product that, when run on a computer, causes the computer to execute the capacity configuration method for a mining hybrid emergency power supply system disclosed in the first aspect or any possible implementation of the first aspect.

[0012] As can be seen from the above technical solutions, the embodiments of the present invention have the following advantages:

[0013] A hybrid emergency power system is constructed by combining a diesel generator and an energy storage system. By acquiring time-power curve data of the load operation within a preset period, and using the required steady-state power and response time of the hybrid emergency power system as input variables, a differential evolution algorithm is used to iteratively optimize the steady-state power and response time to achieve the optimal target fitness function. This yields the target steady-state power and target response time, which represent the comprehensive evaluation factor of the hybrid emergency power system. Finally, based on the obtained target steady-state power, target response time, and time-power curve data, the configuration capacity of the diesel generator and the energy storage system are determined. The steady-state power and response time obtained through this multi-objective optimization configuration method not only meet the actual operating characteristics of the load but also give the configured hybrid emergency power system stronger response capabilities and a more suitable response speed, thus achieving superior overall response performance. Attached Figure Description

[0014] Figure 1 This is a topology diagram of a hybrid emergency power supply system.

[0015] Figure 2 Flowchart of capacity configuration method for hybrid emergency power supply system for mining.

[0016] Figure 3 This is a load-time-power characteristic curve. Detailed Implementation

[0017] To make the objectives, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Several embodiments of the present invention are shown in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of the present invention will be thorough and complete.

[0018] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly on the other element or there may be an intervening element. When an element is considered to be "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "left," "right," "up," "down," and similar expressions used herein are for illustrative purposes only and are not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as limiting the invention.

[0020] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances. The term "and / or" as used herein includes any and all combinations of one or more of the related listed items.

[0021] To address the challenges posed by coal mine loads, which exhibit characteristics of "high power demand for short periods but low energy requirements during extended operation," and the limitations of relying solely on diesel generator sets as emergency power, this invention employs a hybrid emergency power system comprised of a diesel generator and an energy storage system. The diesel generator provides sustained steady-state power, while the energy storage system delivers short-duration, low-energy, high-amplitude burst power.

[0022] To better understand the capacity configuration method for a mine-use hybrid emergency power supply system disclosed in this invention, the system architecture used in this invention will be described below. Figure 1 This is a topology diagram of the hybrid emergency power supply system disclosed in this invention, as shown below. Figure 1 As shown, the hybrid emergency power system includes an energy storage system and a diesel generator. The diesel generator is directly connected to the 6kV bus, and the energy storage system is connected to the 6kV bus via an inverter (PCS).

[0023] Under normal circumstances, Class I loads in the coal mine area (including main ventilation fans, auxiliary shaft hoists, and main drainage pumps) are powered by the power grid (110kV) through the main transformer and the 6kV low-voltage busbar, with the diesel generator and energy storage system in hot standby mode. In the event of an emergency and a power grid outage, the energy storage system and diesel generator directly supply power to the Class I loads via the 6kV low-voltage busbar.

[0024] Alternatively, the energy storage system can be a lithium iron phosphate battery or other types of batteries that meet the energy storage power supply requirements; the present invention does not limit this.

[0025] For hybrid emergency power systems, the output power of the diesel generator and energy storage system, the capacity of the energy storage system, and the response time of the hybrid emergency power system switching from hot standby to emergency power supply directly affect the overall response capability of the hybrid emergency power system to impact loads. Therefore, this invention proposes a capacity configuration method for a mining hybrid emergency power system that ensures the hybrid emergency power system can provide emergency power to coal mines while possessing a suitable response time and strong impact power response performance, and also exhibits a certain degree of economic efficiency.

[0026] In one embodiment, the present invention provides a method for configuring the capacity of a hybrid emergency power supply system for mining, such as... Figure 2 As shown, it specifically includes the following:

[0027] 101. Obtain the time-power curve data of the load operation within a preset period. The time-power curve is used to represent the correspondence between time and load operation power within a period.

[0028] Specifically, the time-power characteristic curves for one cycle are obtained from the operating data of loads such as the main ventilation fan, auxiliary shaft hoist, and main drainage pump in the coal mine, which are configured according to the required hybrid emergency power system. , This is a discrete dataset collected during the operation of a coal mine under load, with a sampling time step of [missing information]. In one example, the period T could be 600s or 1000s.

[0029] 102. Using the required steady-state power and response time of the hybrid emergency power system as input variables, the steady-state power and response time are iteratively optimized using a differential evolution algorithm to achieve the optimal target fitness function, thereby obtaining the target steady-state power and target response time. The target fitness function is used to represent the comprehensive evaluation factor of the hybrid emergency power system.

[0030] Specifically, steady-state power This can be understood as the power required for a load to maintain normal operation for most of the time within a cycle. When the power required by the load is no greater than... When the load requires more power, the diesel generator supplies power to the load; when the load requires more power... In such situations, both the diesel generator set and the energy storage system jointly supply power to the load. The response time reflects the speed at which the hybrid emergency power system responds to emergencies. Therefore, this application uses a differential evolution algorithm to find the optimal values ​​for steady-state power and response time, thereby solving the capacity configuration problem of the hybrid emergency power system and optimizing the overall performance of the configured system in terms of response capability and response time.

[0031] Specifically, the process of obtaining the optimal solutions for the target steady-state power and target response time using the differential evolution algorithm is as follows:

[0032] 1021. Initialize the population to obtain the initial population. The individuals in the initial population include the preset initial steady-state power and initial response time.

[0033] For population initialization, key parameters are first set, including population size (i.e., the number of individuals participating in optimization), variable dimension (i.e., the gene length of each individual), scaling factor (i.e., controlling variable gene length), crossover probability (i.e., controlling crossover frequency), and maximum number of iterations. Then, within the upper and lower bounds of the variables, a specified number of D-dimensional individuals are randomly generated to form the initial population. Simultaneously, the fitness value of each individual is calculated, determined by the objective optimization function. For example, a preset initial steady-state power... and initial response time The maximum number of iterations can be set to 50. Number of populations generated. Dimension population As the initial population, the individuals in the population are represented as follows:

[0034] (1)

[0035] Among them, superscript This indicates that the individual belongs to generation 0, and i represents an individual in the population.

[0036] The boundary of the variable steady-state power is obtained by processing the time-power curve of the load operation. For example, taking the operating data of a coal mine hoist as an example, its time-power characteristic curve... like Figure 3 As shown, characteristic analysis of the curve can yield the maximum power required by the hoist during operation. The output power is 2046000W. Furthermore, according to the relevant provisions of GB / T29328 Technical Specifications for the Configuration of Power Supply and Backup Emergency Power for Important Power Users, to ensure the stable operation of the power grid's security load in coal mine areas, the energy storage system's output power... With diesel generator output power The sum should be higher than 120% of the maximum load during coal mine operation, that is, it meets the requirement. The power required to be provided by the diesel generator set and energy storage system in the hybrid emergency power system should meet the following requirements:

[0037] ;

[0038] Therefore, the steady-state power provided by the diesel generator Differential Evolution Algorithm The range of values ​​is , Let represent the steady-state power of the i-th individual in the j-th evolution.

[0039] 1022. Traverse the initial population and perform mutation operations to generate a mutated population.

[0040] Specifically, the population is traversed and mutation operations are performed to generate a mutated population. Represented as:

[0041] (2)

[0042] in, , For mutation operators, Representing different individuals, This refers to the mutated individual. For the variant number generation.

[0043] 1023. Perform a crossover operation between the pre-mutation population and the post-mutation population, replacing some individuals in the pre-mutation population with the post-mutation individuals.

[0044] Specifically, the pre-mutation population and the mutated population Perform a crossover operation to change the pre-mutation population. Replacing a portion of the individuals with the mutated individuals can be represented as:

[0045] (3)

[0046] In the formula, For crossover probability, It is a randomly selected index value used to ensure

[0047] The final generated There is at least one mutated individual among them. (0,1) represents a random number. Formula (3) can be understood as: if the random number is less than or equal to the crossover probability... ,or equal to index value Replace the mutated individual with the current individual; otherwise, retain the current individual.

[0048] 1024. Compare the mutated individual with the corresponding individual from the previous generation, and retain the individual with the lower fitness value, wherein the fitness value is calculated according to the target fitness function.

[0049] Specifically, the individuals generated in this generation are compared with the corresponding individuals in the previous generation, and the individuals that better meet the expectations are retained. The specific formula is as follows:

[0050] (4)

[0051] in, It indicates the first The first generation Each individual corresponds to value, The smaller the value, the better the solution.

[0052] 1025. When the fitness value reaches the optimal value, stop the iteration and determine the individual with the optimal fitness value as the target steady-state power and the target response time.

[0053] The target fitness function is expressed as:

[0054] (5)

[0055] in, As a comprehensive evaluation factor, the smaller the Eva value, the better the overall response performance of the system. For response time, The start time for the diesel generator to supply power. Q represents the cost of providing emergency power entirely from an energy storage system, while Q represents the cost of providing emergency power using a hybrid emergency power system. As a weighting factor, A larger value indicates a greater emphasis on system response performance. A smaller value indicates a greater emphasis on the system's economy. For example, Therefore, when the fitness value reaches its optimum, i.e., the Eva value is minimized, or when the preset number of iterations is reached, the iteration stops, and the individual with the optimum fitness value is determined as the target steady-state power and the target response time.

[0056] It should be noted that the target response time determines the response speed of the hybrid emergency power system, as well as the calculation of the output power and energy value of the subsequent energy storage system. Therefore, selecting an appropriate response time has a direct impact on the overall response performance of the hybrid emergency power system.

[0057] In one embodiment, the cost required for a hybrid emergency power system to provide emergency power is... It depends on the output power of the diesel generator, the output power of the energy storage system, and the capacity of the energy storage system. Defined as:

[0058] (6)

[0059] In the formula, = Let be the cost function of the diesel generator, and let the cost function be the gradient function. , The power cost factor for energy storage systems. This is the capacity cost factor for the energy storage system.

[0060] When the output power of the diesel generator set is determined Then, the cost of the diesel generator can be determined based on the cost function. The power cost factor of energy storage can be determined based on the selected type of energy storage. and energy cost factor For example, when the energy storage system uses lithium iron phosphate batteries, the power cost factor is: The energy cost factor is The calculated output power of the energy storage system With energy storage The cost of the energy storage system can be calculated. Thus, the total cost of the hybrid energy storage system is obtained. The specific output power of the energy storage system With energy storage The calculation process will be explained in detail below, and will not be repeated here.

[0061] This represents the cost required for emergency power supply entirely from an energy storage system. The maximum power required by the load can be obtained from the load's time-power curve data over a cycle, and the duration for which the energy storage system needs to support the load can be determined. For example, within a 700s cycle, the maximum power required by the load is 2455.2kW, and the required energy is 148.0236kWh. To support the load operation for 2 hours, rounded up and recorded as 11 cycles, the total required energy is... The cost of using a pure energy storage system as an emergency solution is:

[0062] Yuan.

[0063] 103. Determine the configuration capacity of the diesel generator and the configuration capacity of the energy storage system based on the target steady-state power, target response time, and time-power curve data.

[0064] It should be noted that when the power required by the load is not greater than the target steady-state power... When the load requires more power, the diesel generator supplies power to the load; when the load requires more power... At that time, the diesel generator set and the energy storage system work together to supply power to the load.

[0065] Specifically, in one embodiment, the process of determining the configured power of the diesel generator and the configured power of the energy storage system includes the following steps:

[0066] 1031. The output power of the diesel generator, the output power of the energy storage system, and the target energy value are calculated based on the target steady-state power, the target response time, and the time-power curve data, respectively.

[0067] Specifically, when the power required by the load is no greater than At times, the diesel generator needs to supply power to the load; therefore, the output power of the diesel generator configured in the hybrid emergency power system is... Should meet Therefore, the output power of the diesel generator That is, steady-state power .

[0068] When the power required by the load is greater than At this time, the diesel generator set and energy storage system jointly supply power to the load, and the total output power of the hybrid emergency power system should exceed the maximum power required by the load. 20%, therefore there is , This refers to the output power value of the energy storage system required by the hybrid emergency power supply system in emergency power supply conditions.

[0069] Before the diesel generator switches from hot standby to power supply, the power required to support the load is provided by the energy storage system. Therefore, during the load startup phase, the energy storage system requires power... ,in, The response time of a hybrid emergency power system is the time required for the energy storage system to supply power to the load from the occurrence of an emergency. This refers to the time required for a diesel generator to go from hot standby to starting power supply. The length of time required to supply power to the energy storage system. This represents the power required by the load during this period. For example, when... , At that time, the power required by pure energy storage to support load startup is the maximum power value within 10 seconds of load startup. Assuming the maximum power value 10 seconds after load startup is 12.84kW, and reserving 20%, it becomes... Therefore, the power required for energy storage startup The required output power of the energy storage system is... .

[0070] Furthermore, the target energy value required by the energy storage system is obtained through the following method:

[0071] 10311. Determine at least one set of impulsive power data from the time-power curve data based on the target steady-state power.

[0072] 10312. Calculate each impact power data set separately to obtain at least one impact energy value.

[0073] 10313. Calculate the first energy value required for the impact load based on the at least one impact energy value.

[0074] To address the impact response requirements, since the power required by the load is greater than... At that time, the energy storage system needs to support more than The portion of the energy consumed in this process, i.e., the first energy value, is defined as:

[0075] (7)

[0076] in for All of the above The power data point values, This is the sampling time step.

[0077] 10314. Calculate the second energy value of the energy storage system based on the target response time and time-power curve data.

[0078] It should be noted that the second energy value is the energy required for the energy storage system to supply power before the diesel generator can provide power. Since the diesel generator set requires a certain amount of time to go from hot standby to operational status, typically 15-30 seconds, while the energy storage system only needs milliseconds, this time is negligible for the restart time required for a certain type of load. Therefore, the energy storage system is put into operation before the diesel generator to shorten the response time of the hybrid emergency power system.

[0079] In one embodiment, the second energy value of the energy storage system is obtained through the following steps:

[0080] Based on the target response time and the diesel engine's response time, a time interval is calculated; wherein, the time interval... .

[0081] The second energy value of the energy storage system is calculated based on the time interval and the corresponding power value. The second energy value is the energy consumed by the energy storage system to support the load power alone, specifically defined as:

[0082] (8)

[0083] in, For load from startup arrive Power data points during this period, The start time for the diesel generator to supply power.

[0084] 10315. The target energy value required by the energy storage system is obtained based on the first energy value and the second energy value.

[0085] Specifically, the target energy value C required by the energy storage system must satisfy: C = + .

[0086] 1032. Determine the configuration capacity of the diesel generator and the configuration capacity of the energy storage system according to the target constraints, wherein the configuration capacity of the energy storage system includes the configuration output power and the configuration energy.

[0087] The configuration capacity of the diesel generator is determined by its output power, while the configuration capacity of the energy storage system is determined by both its output power and the amount of energy it can provide. The output power of the diesel generator is obtained through the above steps. Output power of energy storage system After determining the target energy value C, the configuration capacity of the diesel generator and the energy storage system can be determined through target constraints. These target constraints can be understood as the requirement that the three configuration parameters of the finally selected diesel generator and energy storage system—namely, the configuration output power of the diesel generator, the configuration output power of the energy storage system, and the configuration energy value—must be greater than or equal to the output power of the diesel generator calculated based on the corresponding coal mine load operating characteristics. Output power of energy storage system Only when the target energy value C is met can the response capability of the hybrid emergency power system be satisfied. Therefore, the configuration capacity of the diesel generator and the configuration capacity of the energy storage system can be determined according to the actual situation. In other words, the present invention can select the appropriate capacity of the diesel generator and energy storage system according to the actual load demand, so as to optimize the overall performance of the hybrid emergency power system.

[0088] This application also provides an electronic device, which includes a processor and a memory. The memory stores at least one instruction or at least one program, which is loaded and executed by the processor using the capacity configuration method for a mining hybrid emergency power supply system provided in the above-described method embodiments.

[0089] Furthermore, an electronic device is provided for implementing the method provided in the embodiments of this application. This device can participate in constituting or including the apparatus or system provided in the embodiments of this application. The electronic device may include one or more processors (processors may include, but are not limited to, processing devices such as microprocessors (MCUs) or programmable logic devices (FPGAs), a memory for storing data, and a transmission device for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a power supply, and / or a camera.

[0090] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits can be implemented wholly or partially as software, hardware, firmware, or any other combination. Furthermore, the data processing circuits can be a single, independent processing module, or wholly or partially integrated into any other element within a device (or mobile device). As involved in the embodiments of this application, the data processing circuit serves as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0091] The memory can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method described in the embodiments of this application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the above-mentioned data processing method. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to electronic devices via a network. Examples of the above-mentioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0092] The transmission device is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the device's communication provider. In one example, the transmission device includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0093] The display can be, for example, a touchscreen liquid crystal display (LCD), which allows users to interact with the user interface of an electronic device (or mobile device).

[0094] This application also provides a computer storage medium storing at least one instruction or at least one program, which is loaded and executed by a processor to implement the capacity configuration method for a mining hybrid emergency power supply system provided in the above method embodiments.

[0095] Optionally, in this embodiment, the aforementioned computer storage medium may be located at at least one of the multiple network servers in a computer network. Optionally, in this embodiment, the aforementioned storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0096] This application also provides a computer program product or computer program, which includes computer instructions stored in a computer storage medium. The processor of an electronic device reads the computer instructions from the computer storage medium and executes the computer instructions, causing the electronic device to perform the capacity configuration method for a mining hybrid emergency power supply system provided in the above-described method embodiments.

[0097] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] It should be understood that the above description of the preferred embodiments is quite detailed, but it should not be considered as a limitation on the scope of protection of this invention. Those skilled in the art, under the guidance of this invention, can make substitutions or modifications without departing from the scope of protection of the claims of this invention, and all such substitutions or modifications fall within the scope of protection of this invention. The scope of protection of this invention should be determined by the appended claims.

Claims

1. A method for configuring the capacity of a hybrid emergency power supply system for mining, to be executed by the hybrid emergency power supply system, characterized in that, The method comprises: obtaining time-power curve data of load operation in a preset period, the time-power curve being used to represent the correspondence between time and load operation power in a period; taking the required steady-state power and response time of the hybrid emergency power supply system as input variables, iteratively optimizing the steady-state power and response time by using a differential evolution algorithm, so that the target fitness function reaches the optimal, obtaining the target steady-state power and target response time, the target fitness function being used to represent the comprehensive evaluation factor of the hybrid emergency power supply system; determining the configuration capacity of the diesel generator and the configuration capacity of the energy storage system according to the target steady-state power, the target response time and the time-power curve data.

2. The method of claim 1, wherein, The method comprises: initializing a population to obtain an initial population, the initial population individuals including preset initial steady-state power and initial response time; traversing the initial population and performing mutation operation to generate a mutated population; performing crossover operation on the pre-mutation population and the post-mutation population, replacing part of the individuals in the pre-mutation population with the post-mutation individuals; comparing the post-mutation individuals with the corresponding individuals of the previous generation, and retaining the individual with a lower fitness value, wherein the fitness value is calculated according to the target fitness function; when the fitness value reaches the optimal, stopping iteration, and determining the individual with the optimal fitness value as the target steady-state power and target response time.

3. The method of claim 1, wherein, The method comprises: （5） wherein, is a comprehensive evaluation factor, is a response time, is a diesel generator start-up time, is a cost required for emergency power supply by the energy storage system alone, and Q is a cost required for emergency power supply by the hybrid emergency power supply system, is a weight factor, the greater the value, the more the response capability of the system is emphasized.

4. The method of claim 1, wherein, The target fitness function is: The method comprises: calculating the output power of the diesel generator, the output power of the energy storage system and the target energy value according to the target steady-state power, the target response time and the time-power curve data, respectively; 5. The method of claim 4, wherein, determining the configuration capacity of the diesel generator and the configuration capacity of the energy storage system according to the target constraint condition, wherein the configuration capacity of the energy storage system includes configuration output power and configuration energy. The method comprises: determining at least one set of impact power data in the time-power curve data according to the target steady-state power; calculating at least one impact energy value for each set of impact power data, respectively; calculating a first energy value required by the impact load according to the at least one impact energy value; calculating a second energy value of the energy storage system according to the target response time and the time-power curve data; obtaining the target energy value required by the energy storage system according to the first energy value and the second energy value.

6. The method of claim 5, wherein, The calculating the second energy value of the energy storage system according to the target response time and the time-power curve data comprises: calculating a time interval according to the target response time and the response time of the diesel engine; calculating the second energy value of the energy storage system according to the time interval and the corresponding power value.

7. The method of claim 5, wherein, The calculating the output power of the diesel generator, the output power of the energy storage system and the target energy value according to the target steady power, the target response time and the time-power curve data comprises: determining a first power value in a time period from the target response time to the response of the diesel generator according to the time-power curve data; determining a second power value in the at least one set of impact power data, wherein the second power value is the maximum in the at least one set of impact power data; determining the output power of the energy storage system according to the first power value, the second power value and the target steady power.

8. An electronic device, comprising: The electronic device comprises a processor and a memory, and the memory stores a computer program which is loaded and executed by the processor to implement the method of any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program which is loaded and executed by the processor to implement the method of any one of claims 1 to 7.

10. A computer program product, characterised in that, The computer program product comprises a computer program stored in a computer readable storage medium, and the processor reads and executes the computer program from the computer readable storage medium to implement the method of any one of claims 1 to 7.

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