Distributed energy scheduling method, device and equipment for oil and gas well field and storage medium

Abstract

The invention discloses an oil and gas well field distributed energy scheduling method, device and equipment and a storage medium. The method comprises the following steps: determining predicted electric quantity data corresponding to an energy storage system of each oil and gas well field in a scheduling area at a target moment, and screening a target scheduling well field from the oil and gas well fields based on the predicted electric quantity data; determining standard electric quantity data of the target scheduling well site, and calculating scheduling electric quantity data according to the predicted electric quantity data and the standard electric quantity data; and determining a target scheduling vehicle based on the scheduling electric quantity data, and controlling the target scheduling vehicle to move to the target scheduling well site to realize energy scheduling. According to the scheme, combined calculation of the predicted electric quantity data and the standard electric quantity data is introduced, dynamic recognition of well site energy is achieved, cross-site scheduling is completed based on flexible deployment of the mobile energy storage unit, and therefore the energy utilization efficiency of an oil and gas well site in the grid-connected and off-grid environment is improved, and the stability of overall energy supply of the well site is enhanced.

Description

Technical Field

[0001] This application relates to the field of oil well development technology, and in particular to a method, apparatus, equipment and storage medium for distributed energy dispatching in oil and gas well sites. Background Technology

[0002] As the scale of distributed energy systems at oil and gas well sites continues to expand, the demand for dynamic allocation of electricity across well sites is increasing. To ensure energy balance at different well sites during production operations, the dispatching system needs to accurately identify the real-time power status of the well site energy storage system.

[0003] However, traditional scheduling methods often rely on fixed thresholds or manual experience, making it difficult to determine the energy changes at each well site in a timely and accurate manner. This results in some well sites having redundant energy storage that cannot be released, while others may experience insufficient power, affecting production. In existing technologies, scheduling well site energy storage systems is challenging due to difficulties in efficiently moving and deploying energy storage units between different well sites. This deficiency easily leads to uneven energy scheduling, delayed scheduling response, and decreased energy storage utilization, making it difficult to meet the intelligent energy allocation requirements of multi-well site collaborative operation environments. Summary of the Invention

[0004] This application provides a method, apparatus, equipment, and storage medium for distributed energy dispatching at oil and gas well sites. Based on a comparative analysis of predicted and standard energy consumption, it identifies energy surpluses and deficits at different well sites and intelligently matches energy storage dispatch vehicles to the target well site to complete energy transfer, thereby achieving dynamic energy dispatching and resource optimization across well sites. This method realizes dynamic energy dispatching and resource sharing across well sites, improves the utilization efficiency and energy configuration flexibility of energy storage systems, and reduces energy consumption and dispatching costs during well site operation. It is particularly suitable for oil and gas production environments with uneven energy distribution or multiple well sites operating collaboratively.

[0005] Firstly, this application provides a distributed energy dispatching method for oil and gas well sites, including: Determine the predicted power data of the energy storage system of each oil and gas well site within the scheduling area at the target time, and select the target scheduling well sites from the oil and gas well sites based on the predicted power data; Determine the standard power data for the target well site, and calculate the scheduled power data based on the predicted power data and the standard power data; Based on the dispatched power data, a target dispatch vehicle is determined, and the target dispatch vehicle is controlled to move to the target dispatch well site to achieve energy dispatch.

[0006] Secondly, this application provides a distributed energy dispatching device for oil and gas well sites, comprising: The well site screening module is used to determine the predicted power data of the energy storage system of each oil and gas well site in the scheduling area at the target time, and to screen the target scheduling well sites from the oil and gas well sites based on the predicted power data. The power calculation module is used to determine the standard power data of the target scheduling well site, and to calculate the scheduling power data based on the predicted power data and the standard power data. The energy dispatch module is used to determine the target dispatch vehicle based on the dispatched power data, and control the target dispatch vehicle to move to the target dispatch well site to realize energy dispatch.

[0007] Thirdly, this application provides a distributed energy dispatching device for oil and gas well sites, comprising: One or more processors; A memory that stores one or more programs, which, when executed by one or more processors, enable the one or more processors to implement the distributed energy dispatching method for oil and gas well sites as described in the first aspect.

[0008] Fourthly, this application provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the distributed energy dispatching method for oil and gas well sites as described in the first aspect.

[0009] This application constructs a multi-stage dynamic scheduling strategy covering predicted power analysis and vehicle matching to achieve efficient energy allocation and cross-site coordination of oil and gas well site energy storage systems. First, based on a prediction model, the power status of each oil and gas well site energy storage system within the scheduling area is obtained at the target time, and the target well sites requiring energy scheduling are selected through comparative analysis. Then, combining the standard power data of the target well sites, the difference between the predicted power and the standard power is calculated to obtain accurate scheduling power data. Based on this, suitable energy storage scheduling vehicles are intelligently matched and controlled to move to the target well sites to complete energy exchange and load compensation. This method, through a scheduling mechanism combining prediction-driven and difference calculation, achieves flexible scheduling of energy storage units between well sites and dynamic optimization of energy resource allocation, effectively improving the utilization efficiency and power supply stability of the energy storage system. It is particularly suitable for production environments with multi-well site collaborative operation and uneven energy distribution, and has high engineering application value. Attached Figure Description

[0010] Figure 1 This is a flowchart of a distributed energy dispatching method for oil and gas well sites provided in an embodiment of this application; Figure 2 This is a flowchart of a method for predicting power data of an energy storage system provided in an embodiment of this application; Figure 3This is a flowchart of a target scheduling well site determination method provided in an embodiment of this application; Figure 4 This is a flowchart of a power threshold confirmation method provided in an embodiment of this application; Figure 5 This is a flowchart of a standard power data calculation method provided in an embodiment of this application; Figure 6 This is a flowchart of a target scheduling vehicle determination method provided in an embodiment of this application; Figure 7 This is a flowchart of a method for controlling the power consumption of energy storage dispatch vehicles provided in an embodiment of this application; Figure 8 This is a structural block diagram of a distributed energy dispatching device for oil and gas well sites provided in an embodiment of this application; Figure 9 This is a schematic diagram of the structure of a distributed energy dispatching device for oil and gas well sites provided in an embodiment of this application. Detailed Implementation

[0011] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as being processed sequentially, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. A process can be terminated when its operation is completed, but it may also have additional steps not included in the drawings. A process can correspond to a method, function, procedure, subroutine, subroutine, etc.

[0012] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0013] As oil and gas well sites continue to expand and the demand for cross-site collaborative operation increases, traditional energy management methods that rely on a single power source or fixed dispatch mode are insufficient to address the problems of uneven energy storage distribution, inflexible energy dispatch, and delayed response among different well sites. Some well sites may have surplus energy storage that cannot be released in a timely manner, while other well sites face insufficient power and limited load, resulting in low overall energy utilization efficiency and increased operating costs. Therefore, there is an urgent need for a method that can achieve dynamic balancing and intelligent dispatching across well sites.

[0014] To address the aforementioned issues, this application constructs a distributed energy dispatching method for oil and gas well sites based on predicted power analysis and dynamic matching, enabling flexible flow and optimized configuration of energy storage units among different well sites. The method first acquires the predicted power data of the energy storage systems at each well site within the dispatching area at a target time, and then filters out target well sites requiring energy compensation or transfer based on this data. Subsequently, by combining the standard power data of the target well sites with the predicted power data, the difference between the standard power data and the predicted power data is calculated to obtain the corresponding dispatched power data. Based on this, the system intelligently determines the appropriate energy storage dispatching vehicle and controls its movement to the target well site to complete energy exchange and power compensation.

[0015] This application introduces a scheduling method driven by predicted power consumption to achieve dynamic balance and cross-site collaborative scheduling of energy storage systems. This effectively improves the utilization efficiency of energy storage units between well sites, avoids energy waste, and significantly enhances the flexibility, stability, and intelligence of energy supply in environments with multi-well site collaborative operation, uneven energy distribution, and frequent load changes. It has high engineering application value.

[0016] The distributed energy dispatching method for oil and gas well sites provided in this embodiment can be executed by distributed energy dispatching equipment for oil and gas well sites. This equipment can be implemented through software and / or hardware, and can consist of two or more physical entities, or it can consist of a single physical entity. For example, the distributed energy dispatching equipment for oil and gas well sites can be a dispatching server used to maintain the stability of oil well energy.

[0017] The distributed energy dispatching equipment for oil and gas well sites is equipped with at least one type of operating system, including but not limited to Android, Linux, and Windows. The equipment can install at least one application based on this operating system; this application can be a built-in application of the operating system or an application downloaded from a third-party device or server. In this embodiment, the distributed energy dispatching equipment for oil and gas well sites has at least one application capable of executing distributed energy dispatching methods for oil and gas well sites.

[0018] For ease of understanding, this embodiment uses the operation and maintenance server as the main body for executing the distributed energy scheduling method for oil and gas well sites as an example for description.

[0019] Figure 1 A flowchart of a distributed energy dispatching method for oil and gas well sites provided in an embodiment of this application is given. (Reference) Figure 1 The distributed energy dispatching method for oil and gas well sites specifically includes: S110. Determine the predicted power data of the energy storage system of each oil and gas well site within the scheduling area at the target time, and select the target scheduling well site from the oil and gas well sites based on the predicted power data.

[0020] In some embodiments, the predicted power data of the energy storage systems of each oil and gas well site within the scheduling area at the target time is first determined. Here, the scheduling area refers to the energy coordination and management scope covering multiple oil and gas well sites; the energy storage system refers to the electrochemical energy storage device configured within the oil and gas well site for energy storage and release; the predicted power data refers to the available power capacity of the energy storage system at the target time calculated by a prediction model; the target time refers to the specified time point when energy allocation and scheduling are required; and the target scheduling well sites refer to the oil and gas well sites selected based on the predicted power data that can preferentially participate in coordinated scheduling. After obtaining the predicted power data for each oil and gas well site, the energy storage availability levels of different well sites are compared accordingly, and target scheduling well sites that meet the scheduling conditions are selected.

[0021] In one embodiment, the predicted power data can be determined by using a trained power prediction model based on historical charging and discharging data, real-time operating data, and predicted load data at the target time of the well site energy storage system.

[0022] In one embodiment, the method for screening target scheduling well sites may be as follows: based on the comparison between the predicted power data and the set power threshold, well sites with predicted power greater than the power threshold are selected as candidate well sites, and then combined with their geographical location, communication status and operation priority, the target scheduling well sites are finally determined.

[0023] In one embodiment, the target scheduling well site can serve as the main entity for subsequent coordinated scheduling of photovoltaic, solar thermal and energy storage, and participate in the power distribution and energy optimization process with priority.

[0024] Optionally, Figure 2 A flowchart of a method for predicting energy storage system power data according to an embodiment of this application is provided. (Reference) Figure 2 The specific methods for predicting the power data of this energy storage system include: S1101. Determine the prediction period based on the current time and the target time, and obtain the predicted power generation data and predicted power consumption data of each oil and gas well site in the scheduling area within the prediction period.

[0025] For example, the prediction period is determined based on the current time and the target time, and the predicted power generation data and predicted power consumption data of each oil and gas well site within the scheduling area are obtained within the prediction period. Here, the current time refers to the time point when the scheduling calculation is performed, the target time refers to the specified time point that the scheduling plan needs to be completed, the prediction period refers to the time interval from the current time to the target time, the scheduling area refers to the energy management scope covering multiple oil and gas well sites, the predicted power generation data refers to the expected photovoltaic or other renewable energy power generation of each well site within the prediction period, and the predicted power consumption data refers to the expected power consumption of each well site within the prediction period, which is used for subsequent energy storage scheduling and coordinated control of photovoltaic and thermal energy storage systems.

[0026] In one embodiment, the prediction period can be determined by using the time difference between the target time and the current time as the prediction period length, and dividing it into several time periods for time-sharing prediction.

[0027] In one embodiment, the method for obtaining predicted power generation data and predicted power consumption data can be: using historical power generation data, historical load data, and a trained prediction model to calculate the power generation and power consumption for each time period within the prediction period.

[0028] In one embodiment, predicted power generation data and predicted power consumption data can provide input parameters for energy storage system scheduling and photovoltaic-storage-thermal coordinated control, supporting energy balance and optimization within the control cycle.

[0029] S1102. Obtain the energy storage power data of the energy storage system of each oil and gas well site at the current time, and calculate the prediction difference data based on the predicted power generation data and the predicted power consumption data.

[0030] For example, the energy storage capacity data of each oil and gas well site's energy storage system at the current moment is obtained, and the prediction difference data is calculated based on the predicted power generation data and the predicted power consumption data. Here, the energy storage capacity data refers to the actual stored power capacity of each oil and gas well site's energy storage system at the current moment, the predicted power generation data refers to the expected power generation of each well site within the prediction period, the predicted power consumption data refers to the expected power consumption of each well site within the prediction period, and the prediction difference data refers to the possible power surplus or deficit of each well site within the prediction period calculated by the difference between the predicted power generation data and the predicted power consumption data, which is used for subsequent scheduling decisions.

[0031] In one embodiment, the energy storage power data can be obtained by reading the current energy storage status information through the energy storage system monitoring module or the real-time data acquisition interface.

[0032] In one embodiment, the method for calculating the forecast difference data can be: subtracting the forecast power generation data from the forecast power consumption data for each time period hour by hour to obtain the power difference for each time period, and accumulating them to form the total difference data within the forecast period.

[0033] In one embodiment, the predicted difference data can serve as the basis for target scheduling well site selection and energy storage system coordinated scheduling, providing a basis for the optimized allocation of photovoltaic, energy storage and solar thermal systems.

[0034] S1103. Using the energy storage power data and the prediction difference data, determine the predicted power data of the energy storage system at the target time.

[0035] For example, the predicted energy data of the energy storage system at the target time is determined by using energy storage power data and prediction difference data. Here, energy storage power data refers to the actual energy storage capacity of each oil and gas well site energy storage system at the current time, prediction difference data refers to the possible power surplus or deficit of each well site within the prediction period, and predicted energy data refers to the expected available energy of the energy storage system at the target time, which is calculated by accumulating the energy storage power data and prediction difference data, and is used for subsequent target scheduling well site selection and energy scheduling decisions.

[0036] In one embodiment, the method for determining the predicted power data may be to accumulate or adjust the difference between the current energy storage power and the predicted power in chronological order to obtain the available power of the energy storage system at the target time.

[0037] In one embodiment, predicted power data can be used to screen target scheduling well sites and provide input data for the coordinated scheduling of photovoltaic, energy storage and solar thermal systems to achieve energy balance and optimized allocation.

[0038] Optionally, Figure 3 A flowchart of a target scheduling well site determination method provided in an embodiment of this application is given. (Reference) Figure 3 The specific methods for determining the target well site include: S1104. Determine the upper limit threshold and lower limit threshold of the power consumption of the oil and gas well site.

[0039] For example, an upper limit threshold and a lower limit threshold for the power consumption of an oil and gas well site are determined. An oil and gas well site refers to an oil or gas production station equipped with an energy storage system and participating in energy dispatch. The upper limit threshold for power consumption refers to the maximum power consumption limit that the energy storage system is allowed to store, and the lower limit threshold for power consumption refers to the minimum power consumption limit that the energy storage system is allowed to discharge. These are used to ensure the safe operation of the energy storage system and to assist in energy dispatch decisions.

[0040] In one embodiment, the upper and lower limits of the power supply threshold can be determined by: optimizing and adjusting based on the rated capacity, charging and discharging efficiency, and equipment operation safety strategy preset of the energy storage system, combined with historical operating data.

[0041] In one embodiment, the upper limit threshold and the lower limit threshold of the power supply can serve as the basic conditions for screening target dispatch well sites and calculating dispatch power data, so as to ensure the safety and reliability of the energy storage system in the coordinated dispatch of photovoltaic, energy storage and solar thermal energy.

[0042] Optionally, Figure 4 A flowchart of a power threshold confirmation method provided in an embodiment of this application is given. (Reference) Figure 4 The specific methods for confirming the power threshold include: S11041. Obtain historical power data of the oil and gas well site, and calculate the power fluctuation range corresponding to the oil and gas well site based on the historical power data.

[0043] For example, historical power data of oil and gas well sites are obtained, and the power fluctuation range corresponding to the oil and gas well sites is calculated based on the historical power data. Here, oil and gas well sites refer to oil or gas production stations that are equipped with energy storage systems and participate in energy dispatch. Historical power data refers to the stored power records of the energy storage system during past operation. Power fluctuation range refers to the range or magnitude of power change of the energy storage system obtained from the statistics of historical power data, which is used to help determine the upper and lower limits of the energy storage system and dispatch strategies.

[0044] In one embodiment, historical power data can be obtained by reading historical operating data through an energy storage system monitoring module or data acquisition interface.

[0045] In one embodiment, the method for calculating the power fluctuation range can be: calculating the difference between the maximum and minimum values ​​based on historical power data, or using statistical methods such as standard deviation and variance to evaluate the fluctuation characteristics of energy storage power.

[0046] In one embodiment, the power fluctuation range can be used to optimize the setting of the upper and lower power thresholds and provide a reference for the selection of target scheduling well sites and energy scheduling.

[0047] S11042. Obtain the upper limit threshold and lower limit threshold of the energy storage system of the oil and gas well site.

[0048] For example, the upper and lower threshold values ​​of the energy storage system of an oil and gas well site are obtained. Here, an oil or gas well site refers to an oil or gas production station equipped with an energy storage system and participating in energy dispatch. An energy storage system refers to an electrochemical device used for the storage and release of electrical energy. The upper threshold value refers to the maximum amount of electricity that the energy storage system is allowed to store, and the lower threshold value refers to the minimum amount of electricity that the energy storage system is allowed to discharge. These values ​​are used to ensure the safe operation of the energy storage system and to assist in energy dispatch decisions.

[0049] In one embodiment, the upper and lower thresholds of energy storage can be obtained by reading or presetting relevant thresholds through energy storage system design parameters, historical operating data, and operating safety policies.

[0050] In one embodiment, the upper and lower limits of energy storage can be used as basic parameters for calculating predicted power data, screening target scheduling well sites, and generating scheduling power data, ensuring the safety and reliability of the coordinated scheduling process of photovoltaic, energy storage, and solar thermal systems.

[0051] S11043. Determine the upper limit threshold of the power supply for the oil and gas well site based on the power fluctuation amplitude and the upper limit threshold of the energy storage, and determine the lower limit threshold of the power supply for the oil and gas well site based on the power fluctuation amplitude and the upper limit threshold of the energy storage.

[0052] For example, the upper limit threshold of the power supply for an oil and gas well site is determined based on the power fluctuation amplitude and the upper limit threshold of the energy storage system, and the lower limit threshold of the power supply for an oil and gas well site is determined based on the power fluctuation amplitude and the lower limit threshold of the energy storage system. Here, the power fluctuation amplitude refers to the range of power change of the energy storage system calculated based on historical power data, the upper limit threshold of the energy storage system refers to the maximum power limit that the energy storage system is allowed to store, and the lower limit threshold of the energy storage system refers to the minimum power limit that the energy storage system is allowed to discharge. The upper limit threshold and the lower limit threshold of the power supply refer to the available power limit indicators provided for the selection and scheduling decision of the target scheduling well site after comprehensively considering the safety of the energy storage system and the historical power fluctuation characteristics.

[0053] In one embodiment, the upper and lower limits of energy storage can be determined by dynamically adjusting the upper and lower limits based on the fluctuation range of energy storage, so that the thresholds meet the requirements for safe operation of the system and can adapt to the actual fluctuation of energy storage capacity.

[0054] In one embodiment, the upper and lower power limits can be used to screen target scheduling well sites and calculate scheduling power data to ensure the safety, stability, and efficiency of the coordinated scheduling process of photovoltaic, energy storage, and solar thermal systems.

[0055] S1105. Oil and gas well sites with predicted power data higher than the upper limit threshold are identified as over-limit well sites, and oil and gas well sites with predicted power data lower than the lower limit threshold are identified as energy replenishment well sites.

[0056] For example, oil and gas well sites with predicted power data higher than the upper limit threshold are identified as over-limit well sites, and oil and gas well sites with predicted power data lower than the lower limit threshold are identified as replenishment well sites. Here, predicted power data refers to the power that the energy storage system is expected to have available at the target time, the upper limit threshold refers to the maximum power limit that the energy storage system is allowed to store, the lower limit threshold refers to the minimum power limit that the energy storage system is allowed to discharge, over-limit well sites refer to well sites where the energy storage power is expected to exceed the safe upper limit, and replenishment well sites refer to well sites where the energy storage power is expected to be lower than the safe lower limit and energy needs to be replenished, for subsequent scheduling decisions.

[0057] In one embodiment, the method for determining over-limit well sites may be: comparing the predicted power data of each well site with the corresponding power upper limit threshold, and marking well sites that exceed the upper limit as over-limit well sites.

[0058] In one embodiment, the method for determining the energy replenishment well site may be: comparing the predicted power data of each well site with the corresponding lower limit threshold for power, and marking well sites with power below the lower limit as energy replenishment well sites.

[0059] In one embodiment, over-limit well sites and supplementary energy well sites can serve as the basis for screening target scheduling well sites, and are used to control the energy allocation of energy storage systems and the coordinated scheduling of photovoltaic, energy storage and solar thermal systems to achieve energy balance and optimized distribution.

[0060] S1106. Determine the target dispatch well site based on the over-limit well site and the replenishment well site.

[0061] For example, target scheduling well sites are determined based on over-limit well sites and energy replenishment well sites. Over-limit well sites refer to oil and gas well sites where the energy storage capacity is expected to exceed the upper limit threshold, energy replenishment well sites refer to oil and gas well sites where the energy storage capacity is expected to be lower than the lower limit threshold, and target scheduling well sites refer to oil and gas well sites that need to participate in energy storage scheduling to achieve energy balance after screening. This is used for the coordinated control and optimized scheduling of photovoltaic, energy storage and solar thermal systems.

[0062] In one embodiment, the method for determining the target scheduling well sites may be: merging all over-limit well sites and energy replenishment well sites, and selecting the set of well sites most suitable for participation in scheduling after considering the capacity, location and scheduling priority of the energy storage system.

[0063] In one embodiment, the target dispatch well site can serve as the basis for dispatch power calculation and target dispatch vehicle control, guiding the rational allocation of energy among various well sites and realizing the coordinated and optimized operation of the photovoltaic and thermal energy storage system.

[0064] S120. Determine the standard power data of the target scheduling well site, and calculate the scheduling power data based on the predicted power data and the standard power data.

[0065] In some embodiments, standard power data for the target dispatching well site is determined. The target dispatching well site refers to a well site selected based on predicted power volume that can participate in energy dispatching. Standard power data refers to a baseline power level determined according to the well site's energy storage system design parameters, rated capacity, and operational safety threshold. Predicted power data refers to the available power capacity of the well site at the target time, calculated using a power prediction model. Dispatch power data refers to the power index used for actual dispatching decisions after comprehensive calculation based on predicted and standard power volumes. After obtaining the standard power data for the target dispatching well site, the predicted power data is compared and calculated with the standard power data to obtain dispatch power data reflecting the actual dispatchable capacity of the well site.

[0066] In one embodiment, the standard power data can be determined by: pre-setting the standard power benchmark value for each well site based on the rated capacity, charging and discharging efficiency, and safe operation threshold of the well site energy storage system, combined with the equipment operating life curve.

[0067] In one embodiment, the method for calculating the dispatch power data can be: normalizing the predicted power data and the standard power data, and then calculating the dispatch power index by weighting the data with weighting coefficients. This index can reflect the current energy storage status of the well site and also take into account the safety and stability of the system's long-term operation.

[0068] Optionally, Figure 5 A flowchart of a standard power data calculation method provided in an embodiment of this application is given. (Reference) Figure 5 The specific calculation method for this standard electricity data includes: S1201. Obtain the upper limit threshold and lower limit threshold of the power consumption of the target scheduling well site, and determine reference power consumption data based on the upper limit threshold and the lower limit threshold.

[0069] For example, the upper and lower limits of the power supply for the target well site are obtained, and reference power supply data is determined based on the upper and lower limits. The target well site refers to the oil and gas well site that needs to participate in energy storage scheduling to achieve energy balance. The upper limit of the power supply refers to the maximum power limit that the energy storage system is allowed to store, and the lower limit of the power supply refers to the minimum power limit that the energy storage system is allowed to discharge. The reference power supply data refers to the power supply benchmark that the target well site should maintain during the scheduling process, which is calculated based on the upper and lower limits and is used to guide the scheduling power supply calculation and the control of the target scheduling vehicle.

[0070] In one embodiment, the reference power data can be determined by weighting the upper and lower power thresholds according to a certain ratio or rule to obtain a reference value, so as to ensure that the energy storage system is optimally scheduled within a safe range.

[0071] In one embodiment, reference power data can serve as the basis for calculating dispatch power data, screening target dispatch vehicles, and optimizing the coordinated operation of photovoltaic, energy storage, and solar thermal systems.

[0072] S1202. Calculate the standard power data of the target dispatch well site based on the reference power data and the power fluctuation amplitude.

[0073] For example, standard power data for the target dispatch well site is calculated based on reference power data and power fluctuation range. Reference power data refers to the target baseline power of the energy storage system calculated based on the upper and lower power thresholds. Power fluctuation range refers to the range of historical power changes in the energy storage system. Standard power data refers to the baseline power used for dispatch calculations in the dispatch process of the target dispatch well site after combining the reference power and power fluctuation range, which is used to guide the allocation of dispatch power and the control of target dispatch vehicles.

[0074] In one embodiment, the standard power data can be calculated by adding or subtracting reference power data from power fluctuations or by weighting them to obtain the standard power value of the energy storage system within a safe range.

[0075] In one embodiment, standard power data can be used for subsequent power data calculation and target vehicle selection, supporting the coordinated optimization scheduling of photovoltaic, energy storage and solar thermal systems.

[0076] S130. Based on the dispatched power data, determine the target dispatch vehicle and control the target dispatch vehicle to move to the target dispatch well site to realize energy dispatch.

[0077] In some embodiments, target dispatch vehicles are determined based on dispatch power data, and the target dispatch vehicles are controlled to move to the target dispatch well sites to achieve energy dispatch. Here, dispatch power data refers to power indicators that reflect the actual dispatchable capacity of the energy storage system of each target dispatch well site, target dispatch vehicles refer to mobile energy storage or energy distribution devices used to perform energy transfer, dispatch or load support, and target dispatch well sites refer to oil and gas well sites selected based on predicted power and standard power that can participate in dispatch. Achieving energy dispatch means guiding the target dispatch vehicles to rationally allocate energy in space and time based on dispatch power data to optimize the coordinated operation of photovoltaic, energy storage and solar thermal systems.

[0078] In one embodiment, the method for determining the target dispatch vehicle may be: based on the remaining energy, capacity, location, and response capability of each dispatch vehicle, match the dispatch power demand, and select the most suitable unit as the target dispatch vehicle.

[0079] In one embodiment, the method of controlling the target dispatch vehicle to move to the target dispatch well site can be: moving between well sites by a dispatch command drive unit or adjusting the access point of the energy storage system by remote control to achieve the dispatch target.

[0080] In one embodiment, energy dispatch can be applied by dynamically balancing the electricity and solar thermal energy of the energy storage systems at each oil and gas well site, thereby achieving optimized synergy between photovoltaic, energy storage, and solar thermal systems and improving overall energy utilization efficiency.

[0081] Optionally, Figure 6 A flowchart of a target scheduling vehicle determination method provided in an embodiment of this application is given. (Reference) Figure 6 The specific method for determining the target dispatch vehicle includes: S1301. Obtain the mobile power data and dispatch vehicle location of each energy storage dispatch vehicle within the dispatch area, and determine the dispatch well site location of the target dispatch well site.

[0082] For example, the mobile power data and vehicle location of each energy storage dispatch vehicle within the dispatch area are obtained to determine the dispatch well site location of the target dispatch well site. Here, energy storage dispatch vehicle refers to a mobile energy storage device and its control system, mobile power data refers to the power information that each dispatch vehicle can provide or consume at its current location, dispatch vehicle location refers to the geographical or site coordinates of each dispatch vehicle, and the dispatch well site location of the target dispatch well site refers to the location of the well site that needs to participate in energy storage dispatch within the dispatch area, which is used to guide the movement of dispatch vehicles and energy distribution.

[0083] In one embodiment, the location of the dispatch well site can be determined by matching the geographical coordinates of the target dispatch well site with the real-time location of the energy storage dispatch vehicle to identify the optimal dispatch path and dispatch vehicle allocation scheme.

[0084] In one embodiment, the location of the dispatch well site can serve as the basic data for controlling the movement of target dispatch vehicles and realizing the coordinated dispatch of photovoltaic, energy storage and solar thermal systems, ensuring the efficiency and reliability of energy dispatch.

[0085] S1302. Based on the mobile power data and the dispatch power data, candidate dispatch vehicles are selected from the energy storage dispatch vehicles.

[0086] For example, candidate dispatch vehicles are selected from energy storage dispatch vehicles based on mobile power data and dispatch power data. Mobile power data refers to the power information that each energy storage dispatch vehicle can provide or consume at its current location, dispatch power data refers to the dispatch power required by the target dispatch well site, energy storage dispatch vehicle refers to a mobile energy storage device and its control system, and candidate dispatch vehicles refer to a set of energy storage dispatch vehicles that can meet dispatch requirements and participate in energy transmission, which are used for subsequent target dispatch vehicle selection and energy dispatch decision-making.

[0087] In one embodiment, the method for screening candidate dispatch vehicles may be: based on the matching of mobile power data and dispatch power data, exclude energy storage dispatch vehicles that cannot meet dispatch requirements, and select units that meet the conditions as candidates.

[0088] In one embodiment, candidate dispatch vehicles can be used to further determine target dispatch vehicles, thereby achieving efficient coordinated dispatch and energy balance of photovoltaic, energy storage and solar thermal systems.

[0089] S1303. Calculate the power dispatch distance based on the location of the dispatch vehicle and the location of the dispatch well site, and determine the target dispatch vehicle from the candidate dispatch vehicles based on the power dispatch distance.

[0090] For example, the power dispatch distance is calculated based on the location of the dispatch vehicle and the location of the dispatch well site. The target dispatch vehicle is determined from the candidate dispatch vehicles based on the power dispatch distance. Here, the dispatch vehicle location refers to the geographical or site coordinates of each energy storage dispatch vehicle in the dispatch area, the dispatch well site location refers to the coordinates of the target dispatch well site in the dispatch area, the power dispatch distance refers to the spatial distance or equivalent energy transmission distance between the energy storage dispatch vehicle and the target dispatch well site, the candidate dispatch vehicle refers to the set of energy storage dispatch vehicles that can meet the dispatch power demand, and the target dispatch vehicle refers to the energy storage dispatch vehicle that is finally selected to provide or absorb energy to the target dispatch well site.

[0091] In one embodiment, the target dispatch vehicle can be determined by selecting the unit with the shortest distance or the highest transmission efficiency from the candidate dispatch vehicles based on the power dispatch distance.

[0092] In one embodiment, the target dispatch vehicle can be used to control the energy storage dispatch vehicle to move to the target dispatch well site, thereby realizing the coordinated energy dispatch and optimized operation of photovoltaic, energy storage and solar thermal systems.

[0093] Optionally, Figure 7 A flowchart of a method for controlling the power consumption of an energy storage dispatch vehicle according to an embodiment of this application is provided. (Reference) Figure 7 The specific methods for controlling the power consumption of energy storage dispatch vehicles include: S131. Calculate the regional adjustable power of the scheduling area based on the mobile power data of each energy storage scheduling vehicle within the scheduling area.

[0094] For example, the regional adjustable power of the dispatch area is calculated based on the mobile power data of each energy storage dispatch vehicle within the dispatch area. Here, energy storage dispatch vehicle refers to a mobile energy storage device and its control system, mobile power data refers to the power information that each energy storage dispatch vehicle can provide or consume at its current location, and regional adjustable power refers to the total power that all energy storage dispatch vehicles within the dispatch area can use to adjust the energy demand of the target dispatch well site, in order to support energy dispatch decisions and the coordinated optimization of photovoltaic, energy storage and solar thermal systems.

[0095] In one embodiment, the adjustable power capacity of a region can be calculated by summing or weighting the available mobile power of each energy storage dispatch vehicle within the dispatch area to obtain the total adjustable power capacity.

[0096] In one embodiment, the regional adjustable power supply can be used to determine whether the scheduling needs of the target scheduling well site are met, and to guide the screening of candidate scheduling vehicles and the selection of target scheduling vehicles, so as to achieve energy balance and optimized allocation in the scheduling area.

[0097] S132. Calculate the regional scheduling data of the scheduling area based on the scheduling power data of each oil and gas well site.

[0098] For example, regional dispatch data for the dispatch area is calculated based on the dispatch power data of each oil and gas well site. Here, oil and gas well sites refer to oil or gas production stations participating in energy storage dispatch, dispatch power data refers to the power that the target dispatch well site needs to provide or absorb during the dispatch process, and regional dispatch data refers to the total dispatch information after integrating the dispatch power of all oil and gas well sites in the dispatch area. This information is used to support energy balance analysis of the dispatch area and the coordinated optimization dispatch of photovoltaic, energy storage and solar thermal systems.

[0099] In one embodiment, the method for calculating regional scheduling data can be: summing or weighting the scheduling power data of each oil and gas well site within the scheduling area to obtain the total available or adjustable power in the entire scheduling area.

[0100] In one embodiment, the regional dispatch data can be used to guide the allocation of dispatched vehicles and the optimization of energy dispatch strategies, thereby ensuring the energy supply and demand balance and efficient operation of the system in the dispatch area.

[0101] S133. Determine the predicted adjustable power using the regional adjustable power and the regional dispatch data, and control the energy storage dispatch vehicle to move to the grid access point for charging and discharging based on the predicted adjustable power.

[0102] For example, the predicted adjustable power is determined by using regional adjustable power and regional dispatch data. Based on the predicted adjustable power, the energy storage dispatch vehicle is controlled to move to the grid access point for charging and discharging. Here, regional adjustable power refers to the total power available for all energy storage dispatch vehicles in the dispatch area to adjust the energy demand of the target dispatch well site. Regional dispatch data refers to the total dispatch information after integrating the dispatch power data of each oil and gas well site in the dispatch area. Predicted adjustable power refers to the expected power available for energy distribution and adjustment in the future dispatch cycle. Energy storage dispatch vehicle refers to a mobile energy storage device and its control system. Grid access point refers to the physical or logical location where the energy storage unit is connected to the grid, used to realize the charging and discharging operation and energy dispatch of the energy storage system.

[0103] In one embodiment, the predicted adjustable power capacity can be determined by weighting or calculating the difference between the regional adjustable power capacity and the regional scheduling data to obtain the predicted power capacity that can be used for scheduling.

[0104] In one embodiment, the predicted adjustable power can be used to guide the movement of energy storage dispatch vehicles, charging and discharging operations, and the coordinated dispatch of photovoltaic, energy storage, and solar thermal systems to achieve energy supply and demand balance and optimized system operation.

[0105] Based on the above embodiments, Figure 8 A structural block diagram of a distributed energy dispatching device for oil and gas well sites provided in an embodiment of this application. (Reference) Figure 8 The distributed energy dispatching device for oil and gas well sites provided in this embodiment specifically includes: a well site screening module 21, an electricity calculation module 22, and an energy dispatching module 23.

[0106] The well site screening module 21 is configured to determine the predicted power data of the energy storage system of each oil and gas well site within the scheduling area at the target time, and screen the target scheduling well sites from the oil and gas well sites based on the predicted power data; the power calculation module 22 is configured to determine the standard power data of the target scheduling well site, and calculate the scheduling power data based on the predicted power data and the standard power data; the energy scheduling module 23 is configured to determine the target scheduling vehicle based on the scheduling power data, and control the target scheduling vehicle to move to the target scheduling well site to realize energy scheduling.

[0107] Based on the above embodiments, the well site screening module 21 includes: a prediction cycle unit configured to determine the prediction cycle based on the current time and the target time; a cycle power unit configured to acquire the predicted power generation data and predicted power consumption data of each oil and gas well site within the scheduling area during the prediction cycle; a difference prediction unit configured to acquire the energy storage power data of each oil and gas well site's energy storage system at the current time, and calculate the prediction difference data based on the predicted power generation data and the predicted power consumption data; and a power prediction unit configured to determine the predicted power data of the energy storage system at the target time using the energy storage power data and the prediction difference data.

[0108] Based on the above embodiments, the well site screening module 21 further includes: a threshold determination unit, configured to determine the upper limit threshold and lower limit threshold of the power consumption of the oil and gas well site; a well site identification unit, configured to identify oil and gas well sites with predicted power consumption data higher than the upper limit threshold as over-limit well sites, and oil and gas well sites with predicted power consumption data lower than the lower limit threshold as energy replenishment well sites; and a scheduling well site unit, configured to determine the target scheduling well site based on the over-limit well sites and the energy replenishment well sites.

[0109] Based on the above embodiments, the threshold determination unit includes: a fluctuation amplitude subunit, configured to acquire historical power data of the oil and gas well site and calculate the power fluctuation amplitude corresponding to the oil and gas well site based on the historical power data; an energy storage threshold subunit, configured to acquire the upper limit threshold and lower limit threshold of the energy storage system of the oil and gas well site; and a power threshold subunit, configured to determine the upper limit threshold of the power of the oil and gas well site based on the power fluctuation amplitude and the upper limit threshold of the energy storage system, and to determine the lower limit threshold of the power of the oil and gas well site based on the power fluctuation amplitude and the upper limit threshold of the energy storage system.

[0110] Based on the above embodiments, the power calculation module 22 includes: a reference power unit, configured to acquire the upper limit threshold and the lower limit threshold of the power of the target scheduling well site, and determine reference power data based on the upper limit threshold and the lower limit threshold; and a standard power unit, configured to calculate the standard power data of the target scheduling well site based on the reference power data and the power fluctuation amplitude.

[0111] Based on the above embodiments, the energy dispatch module 23 includes: a dispatch vehicle unit configured to acquire the mobile power data and dispatch vehicle location of each energy storage dispatch vehicle within the dispatch area; a well site location unit configured to determine the dispatch well site location of the target dispatch well site; a vehicle screening unit configured to screen candidate dispatch vehicles from the energy storage dispatch vehicles based on the mobile power data and the dispatch power data; and a vehicle confirmation unit configured to calculate the power dispatch distance based on the dispatch vehicle location and the dispatch well site location, and determine the target dispatch vehicle from the candidate dispatch vehicles based on the power dispatch distance.

[0112] Based on the above embodiments, the distributed energy dispatching device for oil and gas well sites further includes: a vehicle power module configured to calculate the regional adjustable power of the dispatching area based on the mobile power data of each energy storage dispatching vehicle within the dispatching area; a regional dispatching module configured to calculate regional dispatching data of the dispatching area based on the dispatching power data of each oil and gas well site; and a vehicle control module configured to determine the predicted adjustable power using the regional adjustable power and the regional dispatching data, and control the energy storage dispatching vehicles to move to the grid access point for charging and discharging based on the predicted adjustable power.

[0113] The oil and gas well site distributed energy dispatching device provided in this application integrates key functions such as well site screening, dispatching power calculation, and energy storage unit dispatching control, constructing an intelligent collaborative control architecture centered on predicted power analysis, dispatching power calculation, and cross-well site energy storage dispatching. The device is composed of functional units such as a well site screening module, a power calculation module, and an energy dispatching module, forming a closed-loop control chain covering the entire process from predicted power acquisition, target well site screening, dispatching power calculation to energy storage unit cross-well site movement and energy transfer execution. This significantly improves the accuracy of oil and gas well site energy storage system dispatching, energy utilization efficiency, and cross-well site collaborative capabilities.

[0114] The distributed energy dispatching device for oil and gas well sites provided in this application embodiment can be used to execute the distributed energy dispatching method for oil and gas well sites provided in the above embodiment, and has corresponding functions and beneficial effects.

[0115] Figure 9 This is a schematic diagram of the structure of a distributed energy dispatching device for oil and gas well sites provided in an embodiment of this application, with reference to... Figure 9The distributed energy dispatching equipment for oil and gas well sites includes: a processor 31, a memory 32, a communication device 33, an input device 34, and an output device 35. The number of processors 31 and the number of memories 32 in the distributed energy dispatching equipment can be one or more. The processor 31, memory 32, communication device 33, input device 34, and output device 35 of the distributed energy dispatching equipment can be connected via a bus or other means.

[0116] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to the distributed energy dispatching method for oil and gas well sites in any embodiment of this application (e.g., well site screening module 21, power calculation module 22, and energy dispatching module 23 in the distributed energy dispatching device for oil and gas well sites). The memory 32 may mainly include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the device, etc. Furthermore, the memory 32 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0117] The communication device 33 is used for data transmission.

[0118] The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 32, thereby realizing the above-mentioned distributed energy dispatching method for oil and gas well sites.

[0119] Input device 34 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the device. Output device 35 may include display devices such as a display screen.

[0120] The oil and gas well site distributed energy dispatching equipment provided above can be used to execute the oil and gas well site distributed energy dispatching method provided in the above embodiments, and has corresponding functions and beneficial effects.

[0121] This application embodiment also provides a storage medium containing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute a distributed energy dispatching method for oil and gas well sites. The distributed energy dispatching method for oil and gas well sites includes: determining the predicted power data of the energy storage systems of each oil and gas well site within the dispatching area at a target time; selecting target dispatching well sites from the oil and gas well sites based on the predicted power data; determining the standard power data of the target dispatching well sites; calculating dispatching power data based on the predicted power data and the standard power data; determining a target dispatching vehicle based on the dispatching power data; and controlling the target dispatching vehicle to move to the target dispatching well site to achieve energy dispatching.

[0122] Storage medium—any type of memory device or storage device. The term "storage medium" is intended to include: mounting media, such as CD-ROM, floppy disk, or magnetic tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. Storage medium may also include other types of memory or combinations thereof. Furthermore, storage medium may reside in a first computer system in which a program is executed, or it may reside in a different second computer system connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations (e.g., in different computer systems connected via a network). Storage medium may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0123] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the distributed energy dispatching method for oil and gas well sites as described above, but can also execute related operations in the distributed energy dispatching method for oil and gas well sites provided in any embodiment of this application.

[0124] The distributed energy dispatching device, storage medium, and distributed energy dispatching equipment for oil and gas well sites provided in the above embodiments can execute the distributed energy dispatching method for oil and gas well sites provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the distributed energy dispatching method for oil and gas well sites provided in any embodiment of this application.

[0125] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of this application. The scope of this application is determined by the scope of the claims.

Claims

1. A distributed energy scheduling method for an oil and gas well site, characterized in that, The method comprises the following steps: determining the predicted power data of the energy storage system of each oil and gas well site in the scheduling area at the target time, and selecting a target scheduling well site from the oil and gas well site based on the predicted power data; determining the standard power data of the target scheduling well site, and calculating the scheduling power data according to the predicted power data and the standard power data; determining a target scheduling vehicle based on the scheduling power data, and controlling the target scheduling vehicle to move to the target scheduling well site to realize energy scheduling.

2. The oil and gas field distributed energy dispatching method according to claim 1, characterized in that, The method comprises the following steps: determining the predicted power data of the energy storage system of each oil and gas well site in the scheduling area at the target time, and selecting a target scheduling well site from the oil and gas well site based on the predicted power data; determining the predicted power data of the energy storage system of each oil and gas well site in the scheduling area at the target time, and selecting a target scheduling well site from the oil and gas well site based on the predicted power data; determining the predicted power data of the energy storage system of each oil and gas well site in the scheduling area at the target time, and selecting a target scheduling well site from the oil and gas well site based on the predicted power data; 3. The oil and gas field distributed energy dispatching method of claim 1, wherein, The method comprises the following steps: determining the upper limit threshold and the lower limit threshold of the power of the oil and gas well site; determining the oil and gas well site with the predicted power data higher than the upper limit threshold as an over-limit well site, and determining the oil and gas well site with the predicted power data lower than the lower limit threshold as an energy supplement well site; determining the target scheduling well site based on the over-limit well site and the energy supplement well site.

4. The oil and gas field distributed energy dispatching method of claim 3, wherein, The method comprises the following steps: obtaining the historical power data of the oil and gas well site, and calculating the power fluctuation amplitude corresponding to the oil and gas well site according to the historical power data; obtaining the upper limit threshold and the lower limit threshold of the energy storage of the energy storage system of the oil and gas well site; determining the upper limit threshold of the power of the oil and gas well site based on the power fluctuation amplitude and the upper limit threshold of the energy storage, and determining the lower limit threshold of the power of the oil and gas well site based on the power fluctuation amplitude.

5. The oil and gas field distributed energy dispatching method of claim 1, wherein, The method comprises the following steps: obtaining the upper limit threshold and the lower limit threshold of the power of the target scheduling well site, and determining the reference power data based on the upper limit threshold and the lower limit threshold of the power; calculating the standard power data of the target scheduling well site according to the reference power data and the power fluctuation amplitude.

6. The oil and gas field distributed energy dispatching method of claim 1, wherein, The method comprises the following steps: obtaining the moving power data and the scheduling vehicle position of each energy storage scheduling vehicle in the scheduling area, and determining the scheduling well site position of the target scheduling well site; selecting a candidate scheduling vehicle from the energy storage scheduling vehicle based on the moving power data and the scheduling power data; calculating the power scheduling distance based on the scheduling vehicle position and the scheduling well site position, and determining the target scheduling vehicle from the candidate scheduling vehicle based on the power scheduling distance.

7. The oil and gas field distributed energy scheduling method of any one of claims 1-6, wherein, The method further comprises the following steps: calculating the regional adjustable power of the scheduling area based on the moving power data of each energy storage scheduling vehicle in the scheduling area. The regional scheduling data of the scheduling region is calculated according to the scheduling power data of each oil and gas well site; The predicted adjustable power is determined by using the regionally adjustable power and the regional scheduling data, and the energy storage scheduling vehicle is controlled to move to the grid access point for charging and discharging based on the predicted adjustable power.

8. An oil and gas well site distributed energy dispatching device, characterized in that, The method comprises the steps of: The well site screening module is used to determine the predicted power data of the energy storage system of each oil and gas well site in the scheduling region at a target time, and to screen a target scheduling well site from the oil and gas well sites based on the predicted power data; The power calculation module is used to determine the standard power data of the target scheduling well site, and to calculate the scheduling power data according to the predicted power data and the standard power data; The energy scheduling module is used to determine a target scheduling vehicle based on the scheduling power data, and to control the target scheduling vehicle to move to the target scheduling well site to realize energy scheduling.

9. An oil and gas well site distributed energy dispatching device, characterized in that, The method comprises the steps of: One or more processors; A memory stores one or more programs, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the oil and gas well site distributed energy scheduling method as claimed in any one of claims 1-7.

10. A storage medium containing computer-executable instructions, wherein: The computer executable instructions, when executed by a computer processor, are used to perform the oil and gas well site distributed energy scheduling method as claimed in any one of claims 1-7.

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