Generator group and hybrid energy storage collaborative control method and system for drilling platform

Abstract

The present application belongs to the field of oil drilling platform power system control, and provides a generator group and hybrid energy storage collaborative control method and system for a drilling platform, comprising determining the region of the current state matrix and the minimum safe operation number corresponding to the current working condition; if the current actual operation unit number is less than or equal to the minimum safe operation number corresponding to the current working condition, triggering a safety lock, and controlling according to the control strategy of the region of the current state matrix; otherwise, executing a unit operation reduction; real-time monitoring of the load power increment of the power supply network common connection point, if the load power increment exceeds the power mutation threshold, discharging by the super capacitor energy storage system; if the duration of the load power increment exceeds the duration threshold, re-determining the region of the updated state matrix, and coordinating control based on the control strategy of the region of the updated state matrix; solving the pain points of energy storage response lag, insufficient collaboration depth, and safety and economy imbalance in the traditional scheme.

Description

Technical Field

[0001] This invention belongs to the field of power system control technology for oil drilling platforms, specifically relating to a method and system for coordinated control of generator groups and hybrid energy storage for drilling platforms. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] With increasingly stringent environmental regulations and the widespread adoption of automated drilling rigs, gas generator sets are gradually replacing diesel generator sets as the primary power source for drilling operations. For economic reasons, generator sets consisting of multiple small-capacity gas generators are currently commonly used for power supply. While this model offers flexible start-up and high redundancy, it also faces new challenges: drilling platforms, especially when operating with dual rigs, experience large and rapidly changing loads, leading to frequent and drastic fluctuations in grid power. To ensure power supply stability, the generator set must reserve sufficient standby capacity to handle sudden power demands, which typically means operating some units at low load rates. However, this practice results in the entire generator set operating in an inefficient range, significantly reducing energy efficiency (the ratio of total power generation to total gas consumption). The more generator sets operating and the lower the load rate of each individual unit, the lower this efficiency.

[0004] To address the aforementioned issues, existing technologies attempt to introduce energy storage systems (such as flywheels, supercapacitors, or batteries) to mitigate load surges. Most solutions focus on simple power compensation from a single energy storage element or control based on fixed rules (such as shutdown under low load and charging under high load), failing to establish a dynamic adjustment mechanism. This makes it difficult for the system to perform real-time, adaptive, and coordinated adjustments based on the gas turbine load rate and the status of the energy storage equipment (such as remaining battery power), and it cannot effectively cope with complex power fluctuations under dual-rig interference. Furthermore, existing solutions have vague response mechanisms for the high-frequency, large-amplitude load changes unique to drilling platforms (such as tripping operations), lacking refined operating condition adaptation. Especially for millisecond-level power surges, they often rely on the generator set's own adjustment, resulting in slow response speeds, easily exacerbating unit load fluctuations, and even affecting grid stability. In terms of improving economic efficiency, they are rather crude, typically relying only on simple shutdown-to-charge strategies to reduce fuel consumption without establishing a mathematical model to quantify energy utilization efficiency. This results in a lack of systematic methods for dynamically optimizing the number of operating generator units, making it difficult to maximize individual unit load rate and overall energy efficiency by reducing the number of operating units while ensuring safety redundancy. Furthermore, the lack of safety boundary settings, such as minimum operating unit numbers, means that over-optimization may lead to system instability. Summary of the Invention

[0005] To address the aforementioned issues, this invention proposes a method and system for coordinated control of generator groups and hybrid energy storage for drilling platforms. This invention employs a precise coordinated control strategy to dynamically manage the charging and discharging of the battery energy storage system and the number of operating gas generator sets, and utilizes supercapacitors to quickly compensate for sudden load increases, thereby significantly improving the energy utilization efficiency of the entire system while ensuring power supply stability.

[0006] According to some embodiments, the first aspect of the present invention provides a method for coordinated control of generator groups and hybrid energy storage for drilling platforms, employing the following technical solution:

[0007] Methods for coordinated control of generator groups and hybrid energy storage for drilling platforms include:

[0008] The region of the current state matrix is ​​determined based on the current battery state of charge and the total load rate of the generator group. The minimum number of safe operating units corresponding to the current working condition is determined based on the current load volatility and the working mode of the equipment in the drilling platform.

[0009] If the number of units currently in operation is less than or equal to the minimum safe number of units in operation for the current condition, a safety interlock is triggered, and control is performed according to the control strategy of the current state matrix area.

[0010] If the current number of operating units is greater than the minimum safe number of units for the current operating condition, then the number of units will be restored to the minimum safe number of units and the safety interlock will be released, and the unit reduction operation will be performed.

[0011] The system monitors the load power increment at the power supply network common connection point within the current sampling period in real time. If the power surge threshold is exceeded, a maximum power discharge command is sent to the supercapacitor energy storage system.

[0012] If the duration of the load power increment exceeds the duration threshold, the updated state matrix region is redefined based on the current battery state of charge and the total load rate of the generator group, and coordinated control is performed based on the control strategy of the updated state matrix region.

[0013] Furthermore, the process of determining the region of the current state matrix based on the current battery state of charge and the total load rate of the generator group, and determining the minimum safe operating number of units corresponding to the current operating condition based on the current load volatility and the operating mode of the equipment in the drilling platform, includes:

[0014] The system collects operating status data in real time at a preset sampling period and calculates the current battery state of charge and the total load rate of the generator group.

[0015] Based on the pre-built state matrix, determine the region of the current state matrix corresponding to the current battery state of charge and the total load rate of the generator group;

[0016] Collect the operating modes of the equipment on the drilling platform and calculate the current load fluctuation rate;

[0017] The current operating condition is determined based on the current load fluctuation rate and the working mode of the equipment in the drilling platform. Based on the preset mapping table between the operating condition and the minimum safe number of operating units, the minimum safe number of operating units corresponding to the current operating condition is determined.

[0018] Furthermore, the state matrix is ​​divided into nine regions based on different states of charge of the battery energy storage system and different total load rates of the generator group, including:

[0019] Region S1, High-charge state That is, State of Charge (SOC%) > 80%, low total load rate state. That is, the total load factor (GEN%) is less than 40%.

[0020] Second region S2, high-charge state That is, SOC% > 80%, which is the state of total load factor. That is, 40% ≤ GEN% ≤ 90%;

[0021] Region S3, High-charge state That is, SOC% > 80%, a high total load condition. That is, GEN% > 90%;

[0022] Region 4, S4, Medium-Dutch Electricity State That is, 30%≤SOC%≤80%, low total load condition. That is, GEN% < 40%;

[0023] Fifth region S5, medium-Dutch electrical state That is, 30%≤SOC%≤80%, the total load factor status. That is, 40% ≤ GEN% ≤ 90%;

[0024] Region 6, S6, Medium-Dutch Electricity State That is, 30%≤SOC%≤80%, a high total load condition. That is, GEN% > 90%;

[0025] Region 7, S7, low charge state That is, SOC% < 30%, low total load rate state. That is, GEN% < 40%;

[0026] Region 8, S8, low charge state That is, SOC% < 30%, medium total load factor. That is, 40% ≤ GEN% ≤ 90%;

[0027] Ninth region S9, low charge state That is, SOC% < 30%, a state of high total load. That is, GEN% > 90%.

[0028] Furthermore, the system collects the operating modes of the equipment on the drilling platform and calculates the current overall load fluctuation rate.

[0029] Determine the current operating conditions based on the current load volatility and the operating modes of the equipment on the drilling platform;

[0030] Calculate the current real-time load fluctuation rate based on the total rated power of the generator;

[0031] Obtain the operating condition flags of the equipment on the drilling platform and get the preset fluctuation coefficients corresponding to the operating condition flags;

[0032] The comprehensive load volatility is calculated based on the preset volatility coefficient corresponding to the load volatility and the operating condition flag.

[0033] Furthermore, based on the load volatility and the preset volatility coefficient corresponding to the operating condition flag, the comprehensive load volatility is calculated. ,as follows:

[0034]

[0035] in, This is the weighting coefficient for the operating conditions. , It is the normalized load volatility. It is the preset fluctuation coefficient corresponding to the operating condition flag.

[0036] Furthermore, the minimum number of units in safe operation The calculation is as follows:

[0037]

[0038] in, For the expected base load, It is a superimposed sudden load generated simultaneously by two drilling rigs. For safety margin, This refers to the rated power of a single gas generator. This is the floor function.

[0039] According to some embodiments, a second aspect of the present invention provides a generator group and hybrid energy storage coordinated control system for drilling platforms, employing the following technical solution:

[0040] A generator group and hybrid energy storage coordinated control system for drilling platforms includes:

[0041] The status recognition module is configured to determine the region of the current status matrix based on the current battery state of charge and the total load rate of the generator group, and to determine the minimum safe number of units to operate under the current working condition based on the current load volatility and the working mode of the equipment in the drilling platform.

[0042] The safety interlock trigger module is configured to trigger a safety interlock if the number of currently operating units is less than or equal to the minimum safe number of units for the current operating condition, and to control the system according to the control strategy of the current state matrix area.

[0043] The safety interlock release module is configured to restore the number of units in operation to the minimum safe operating number and release the safety interlock if the current number of units in operation is greater than the minimum safe operating number corresponding to the current operating condition, and then perform the unit reduction operation.

[0044] The load increment control module is configured to monitor the load power increment at the power supply network common connection point in the current sampling period in real time. If the power change threshold is exceeded, a command to discharge the maximum power is sent to the supercapacitor energy storage system.

[0045] The state re-identification module is configured to re-determine the region of the updated state matrix based on the current battery state of charge and the total load rate of the generator group if the duration of the load power increment exceeds the duration threshold, and then perform coordinated control based on the control strategy of the region of the updated state matrix.

[0046] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium.

[0047] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in the first embodiment above.

[0048] According to some embodiments, a fourth aspect of the present invention provides a computer device.

[0049] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in the first embodiment above.

[0050] According to some embodiments, a fifth aspect of the present invention provides a computer program product or computer program.

[0051] A computer program product or computer program includes computer instructions stored in a computer-readable storage medium, wherein a processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps in the method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in the first embodiment above.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0053] This invention firstly uses a two-dimensional state matrix for dynamic control, dividing the system into nine operating zones to achieve adaptive matching between battery charging / discharging and unit load rate. Secondly, it proposes a multi-level energy storage coordination mechanism, with supercapacitors responsible for rapid 2ms-level compensation for sudden load increases, and batteries handling medium- and low-rate charging / discharging regulation, forming a hierarchical control system that combines peak impact resistance with average load optimization, solving the problem of lag in energy storage response in traditional solutions. Finally, it features a minimum safe operating unit number control, dynamically adjustable based on historical load data, prioritizing battery discharge over shutdown under low load conditions to avoid system instability caused by excessive reduction in units. Furthermore, by reducing the number of operating units, this patent achieves a 25% reduction in the number of operating units with 24 300kW gas turbine units, significantly improving single-unit load rate and energy utilization efficiency.

[0054] This invention achieves system-level coordinated control, integrating gas generator groups, battery energy storage, and supercapacitors into a unified control framework. Dynamic coordination among the three is achieved through a state matrix, including supercapacitor shock resistance, battery averaging, and optimized generator unit count, solving the problem of individual systems operating independently in traditional solutions. It enables rapid response to sudden load increases through power change rate monitoring and a supercapacitor hard-trigger mechanism, such as 500kW discharge within 2ms, achieving precise compensation for high-frequency sudden load increases, avoiding impact on gas generator units, and ensuring system power supply stability. Furthermore, it achieves dual-objective optimization of safety and economy. The minimum safe operating unit count is linked with the state matrix strategy, maximizing the reduction of the number of operating units while ensuring safety redundancy. Simultaneously, economic improvement is quantified through an energy utilization efficiency formula, forming a verifiable optimization path.

[0055] This invention achieves system-level coordinated control of gas turbine generator groups and hybrid energy storage through an innovative combination of a two-dimensional state matrix, rapid compensation by supercapacitors, and minimum operating unit control. This addresses the pain points of traditional solutions, such as lag in energy storage response, insufficient coordination depth, and imbalance between safety and economy. Compared to existing technologies, this invention demonstrates significant advantages in terms of operating condition adaptability, dynamic adjustment accuracy, safety redundancy design, and quantitative verification of economic efficiency, providing a systematic solution for improving the energy efficiency and ensuring the stability of oil drilling platforms. Attached Figure Description

[0056] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0057] Figure 1 This is a flowchart of a method for coordinated control of generator groups and hybrid energy storage for drilling platforms according to an embodiment of the present invention;

[0058] Figure 2 This is a schematic diagram of the dual drilling rig power supply network in an embodiment of the present invention;

[0059] Figure 3 This is a schematic diagram of the two-dimensional state matrix partitioning and control strategy of SOC%-GEN% in an embodiment of the present invention;

[0060] Figure 4 This is a schematic diagram of the load fluctuation of the dual drilling rigs in an embodiment of the present invention;

[0061] Figure 5 This is a schematic diagram illustrating the discharge compensation effect of the supercapacitor in an embodiment of the present invention;

[0062] Figure 6 This is a comparison chart of energy utilization efficiency before and after the hybrid energy storage system is put into operation in an embodiment of the present invention. Detailed Implementation

[0063] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0064] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0065] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0066] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0067] Example 1

[0068] like Figure 1As shown, this embodiment provides a method for coordinated control of generator groups and hybrid energy storage for drilling platforms. This embodiment uses the application of this method to a server as an example for illustration. It is understood that this method can also be applied to terminals, and can also be applied to systems including terminals, servers, and other components, and is implemented through interaction between the terminal and the server. The server can be an independent physical server, a server cluster composed of multiple physical servers, or a distributed system. It can also be a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communication, middleware services, domain name services, CDN security services, and big data and artificial intelligence platforms. The terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, etc., but is not limited to these. The terminal and server can be directly or indirectly connected via wired or wireless communication, which is not limited herein. In this embodiment, the method includes the following steps:

[0069] The region of the current state matrix is ​​determined based on the current battery state of charge and the total load rate of the generator group. The minimum number of safe operating units corresponding to the current working condition is determined based on the current load volatility and the working mode of the equipment in the drilling platform.

[0070] If the current number of actually operating units is less than or equal to the minimum safe operating number corresponding to the current operating condition, then the system will be restored to the minimum safe operating number and a safety interlock will be triggered. Control will be performed according to the control strategy of the current state matrix area.

[0071] If the number of units currently in operation is greater than the minimum safe number of units for the current operating condition, the safety interlock is released, and the unit reduction operation is executed.

[0072] The system monitors the load power increment at the power supply network common connection point within the current sampling period in real time. If the power surge threshold is exceeded, a maximum power discharge command is sent to the supercapacitor energy storage system.

[0073] If the duration of the load power increment exceeds the duration threshold, the updated state matrix region is redefined based on the current battery state of charge and the total load rate of the generator group, and coordinated control is performed based on the control strategy of the updated state matrix region.

[0074] Specifically, the detailed processing steps of the method described in this embodiment include:

[0075] Step S1: Determine the region of the current state matrix based on the current battery state of charge and the total load rate of the generator group. Determine the minimum safe number of units to operate under the current conditions based on the current load volatility and the operating mode of the equipment on the drilling platform, including:

[0076] Step S1.1: Collect operating status data in real time at a preset sampling period, and calculate the current battery state of charge and the total load rate of the generator group;

[0077] It should be noted that the system described in this embodiment includes a generator group consisting of multiple gas generators, a battery energy storage system, a supercapacitor energy storage system, and an energy management system.

[0078] Step S1.2: Based on the pre-built state matrix, determine the region of the current state matrix corresponding to the current battery state of charge and the total load rate of the generator group;

[0079] Based on the battery state of charge and the total load rate of the generator group, a two-dimensional state matrix is ​​constructed regarding the total load rate and state of charge (SOC%-GEN%). The system operating state is divided into nine regions, and corresponding battery charging and discharging commands and unit control principles are formulated for each region. SOC% is the real-time state of charge of the battery energy storage system, and GEN% is the ratio of the total real-time load of the generator group to its rated total capacity.

[0080] It is understood that the schematic diagram of the power supply network of the drilling platform under complex, dual-rig interference conditions described in this embodiment is as follows: Figure 2 As shown, the generator group consists of 24 gas generators, namely generator G1 (No. 1), generator G2 (No. 2), ... generator G23 (No. 23), and generator G24 (No. 24). The electricity generated by these generators is collected and stepped up to the 10kV bus via transformer 1 (0.6 / 10kV, 6300kVA), forming a medium-voltage distribution network. The 10kV bus is further stepped down to 0.6kV via transformers 2 and 3 (both 10 / 0.6kV, 3150kVA), supplying power to two DB50 drilling rigs. Each drilling rig is equipped with a reactive power compensation device to maintain the power factor stability of the local power grid. The hybrid energy storage system includes battery energy storage devices and capacitor energy storage devices (i.e., supercapacitor energy storage system), which are connected to the 0.6kV side via inverters 1 and 2 respectively to achieve flexible power exchange. The entire system operates collaboratively under the unified scheduling of the energy management system (EMS).

[0081] like Figure 3 As shown in the diagram, this figure visually illustrates the partitioning strategy of nine regions to facilitate understanding of the control logic of this invention. The definitions and control strategies of the nine regions are as follows:

[0082] Region S1, High-charge state (i.e., SOC% > 80%), low total load condition (i.e., GEN% < 40%), this area is a no-charging and no-discharging zone for the battery. In this area, maintain the current state to avoid overcharging the battery and underloading the unit.

[0083] Second region S2, high-charge state (i.e., SOC% > 80%), overall load factor status (i.e., 40%≤GEN%≤90%), this area is a no-charge area and a low-to-medium rate discharge area. Within this area, the battery is controlled to discharge at a low to medium rate, appropriately reducing the unit's load rate. The formula for low-to-medium rate discharge is: P mid =K mid ×P batt_rate Among them, P mid For medium to low rate charge / discharge power; K mid P is a coefficient (generally taken as 0.3~0.5); batt_rate The rated power of the battery energy storage system is the design power for continuous charging / discharging.

[0084] Region S3, High-charge state (i.e., SOC% > 80%), high total load condition (i.e., GEN% > 90%), this area is the battery charging-prohibited area and high-rate discharge area. Within this area, the battery is controlled to discharge at a high rate to quickly consume battery energy, making room for potential subsequent charging needs and effectively reducing the unit load rate. The formula for high-rate discharge is: P high =K high ×P batt_rate Among them, P high Power for high-rate charging / discharging; K high This is a coefficient (generally taken as 0.8~1.0).

[0085] Region 4, S4, Medium-charged state (i.e., 30%≤SOC%≤80%), low total load condition (i.e., GEN% < 40%), this area is a medium-low rate charging area and a no-discharge area. In this area, the generator grid is controlled to charge the battery at a medium-low rate, the generator load is appropriately increased, and the battery energy is restored.

[0086] Fifth region S5, medium-Dutch electrical state (i.e., 30%≤SOC%≤80%), total load factor status (i.e., 40%≤GEN%≤90%), this area is the maintenance area; it means that the charging and discharging power command value of the previous control cycle remains unchanged. In this area, the battery and the unit maintain their current state, which is the high-efficiency and stable operation zone.

[0087] Region 6, S6, Medium-Dutch Electricity State (30%≤SOC%≤80%), High total load condition (i.e., GEN% > 90%), this area is the battery charging prohibition area and the medium-low rate discharge area. In this area, the battery is controlled to discharge at a medium-low rate to help the unit reduce peak load and prevent the unit from operating under overload.

[0088] Region 7, S7, low charge state (i.e., SOC% < 30%), low total load condition (i.e., GEN% < 40%), this area is a high-speed charging area and a no-discharge area. In this area, the power grid is controlled to charge the battery at a high speed, rapidly improve the unit's load-carrying capacity, and quickly replenish the battery's energy.

[0089] Region 8, S8, low charge state (i.e., SOC% < 30%), medium total load factor status (i.e., 40%≤GEN%≤90%), this area is a medium-low rate charging area and a no-discharge area. In this area, the microgrid is controlled to charge the battery at a medium-low rate, and the generator set is reserved with a load margin for possible sudden load increases.

[0090] Ninth region S9, low charge state (i.e., SOC% < 30%), high total load condition (i.e., GEN% > 90%), this area is a no-charging and no-discharging area. In this area, the battery has been fully discharged and the unit load is high. The system is in a critical state and more units need to be started.

[0091] Among them, the charging and discharging strategies for the nine regions are shown in Table 1, P recharge Indicates the battery charging power command value; P discharge Indicates the battery discharge power command value; P recharge,max Indicates the maximum allowable charging power of the battery system; P discharge,max Indicates the maximum allowable discharge power of the battery system; SOC% indicates the real-time state of charge of the battery (range 0~100%); GEN% indicates the total load factor of the generator group (range 0~100%); P recharge (t) indicates that the charging power command value from the previous control cycle remains unchanged, P discharge (t) indicates that the discharge power command value of the previous control cycle remains unchanged.

[0092] Table 1. Charging and discharging strategies for nine regions

[0093]

[0094] The charging formula for region S4 (medium SOC%, low GEN%) is as follows:

[0095] P recharge =Precharge,max ×(1 SOC%+35%)

[0096] 1 SOC% is the rechargeable space, and +35% is an offset (the value of which can be set). Its purpose is to appropriately increase the load of the generator group by charging the battery, pulling the unit from the low-efficiency area (light load) to the high-efficiency area, while restoring battery energy.

[0097] The charging formula for the S8 (low SOC%, medium GEN%) region is as follows:

[0098] P recharge =P recharge,max ×(1 GEN%+35%)

[0099] 1 GEN% is the generator set's load margin, and +35% is an offset (the value of which can be set). Its purpose is to charge the battery at a low to medium rate when the SOC% is low, and to reserve the generator set's load margin for possible sudden load increases.

[0100] The discharge formula for the S2 (high SOC%, medium GEN%) region is as follows:

[0101] P discharge =P discharge,max ×(GEN%+15%)

[0102] +15% is also an offset (the value of which can be set). Its purpose is to control the battery to discharge at a low to medium rate, actively reduce the high SOC%, and appropriately reduce the unit load rate.

[0103] The discharge formula for the S6 (medium SOC%, high GEN%) region is as follows:

[0104] P discharge =P discharge,max ×(SOC%+15%)

[0105] +15% is also an offset (the value of which can be set). Its purpose is to control the battery to discharge at a low to medium rate within this area and appropriately increase the discharge to help the unit reduce peak loads and prevent the unit from operating under overload.

[0106] The definitions of real-time state of charge of different batteries and total load factor of generator group are as follows:

[0107] Define the SOC% state range:

[0108] Low state of charge ( When the SOC% is less than 30%, the battery is low in energy and charging should be prioritized while limiting discharge to protect the battery.

[0109] Medium-Netherland electric state ( At this point, 30%≤SOC%≤80%, this is the healthy operating range of the battery, allowing for flexible charging and discharging adjustments.

[0110] High charge state ( When the SOC% is greater than 80%, the battery has sufficient power and should be discharged first to avoid overcharging.

[0111] Define the GEN% state range:

[0112] Low total load condition ( When GEN% < 40%, the unit load rate is too low and the operating efficiency is poor. It is necessary to increase the load rate by charging the battery or reducing the number of online units.

[0113] Total load factor status ( At this point, 40%≤GEN%≤90% is the high-efficiency operating range of the generator set, and the goal is to maintain system stability in this range.

[0114] High total load condition ( When GEN% > 90%, the unit experiences high load pressure and decreased stability. It is necessary to reduce peak load by discharging the battery to prevent overload.

[0115] Step S1.3: Collect the operating modes of the equipment in the drilling platform and calculate the current comprehensive load volatility;

[0116] Determine the current operating conditions based on the current load volatility and the operating modes of the equipment on the drilling platform;

[0117] Calculate the current real-time load fluctuation rate based on the total rated power of the generator;

[0118] Obtain the operating condition flags of the equipment on the drilling platform and get the preset fluctuation coefficients corresponding to the operating condition flags;

[0119] Based on the preset fluctuation coefficients corresponding to the load volatility and the operating condition flag, the comprehensive load volatility is calculated using the weighted average method.

[0120] To accurately quantify the impact intensity experienced by the system, this invention employs a comprehensive load volatility index that integrates feedforward and feedback. .

[0121] First, the Energy Management System (EMS) reads the operating status flags of the drilling parameter system through the communication interface and maps them to preset fluctuation coefficients. (Value range 0.1~1.0, the drilling condition is defined in this implementation example) =0.9, normal drilling conditions =0.3, waiting for shutdown conditions =0.1).

[0122] EMS reads the operating condition flags of the drilling parameter system through the communication interface and maps them to a preset fluctuation coefficient. (Working condition feedforward), the preset fluctuation coefficient is shown in Table 2;

[0123] Table 2 Preset Fluctuation Coefficient Settings

[0124]

[0125] Secondly, the EMS collects the voltage and current signals of the bus in real time, calculates the change in instantaneous active power, and obtains the real-time load fluctuation rate. ,as follows:

[0126]

[0127] in, The total rated power of the generator group It is a unit of time (acting on) (using minute-level data), and for After applying amplitude limiting and normalization, the normalized load volatility is obtained. ,as follows:

[0128]

[0129] in, As a sensitivity coefficient, if a 50% jump in rated power is considered the maximum fluctuation, then it can be set to... =2 (i.e.) When =0.5, it is mapped to 1).

[0130] Finally, the weighted average method is used to calculate the overall load volatility. ,as follows:

[0131]

[0132] in, This is the weighting coefficient for the operating conditions. In this embodiment, 0.6 is used (based on the working condition and supplemented by real-time).

[0133] The overall load volatility This will be used as a subsequent step to dynamically adjust the minimum number of operating units. The key input parameters; combining load condition prediction (feedforward) with real-time detection (feedback), a comprehensive load volatility calculation index is introduced. This can make the assessment of load volatility more robust.

[0134] Step S1.4: Determine the current operating condition based on the current comprehensive load fluctuation rate and the working mode of the equipment in the drilling platform. Based on the preset mapping table between operating conditions and minimum safe operating number of units, determine the minimum safe operating number of units corresponding to the current operating condition.

[0135] Determine the current operating conditions based on the current load volatility and the operating modes of the equipment on the drilling platform;

[0136] Based on the preset mapping table between operating conditions and the minimum safe number of operating units, and the comprehensive load fluctuation rate, determine the minimum safe number of operating units corresponding to the current operating condition.

[0137] By analyzing historical data, the operating conditions of drilling platforms were divided into several typical working conditions. The results of the derivation of the formula for the minimum safe number of operating platforms were compared, and a recommended minimum safe number of operating platforms was assigned to each working condition based on engineering experience. The values ​​are used to obtain the operating conditions and the minimum number of units that can operate safely, as shown in Table 3.

[0138] Table 3 Mapping Table of Operating Conditions and Minimum Safe Number of Units in Operation

[0139]

[0140] It should be noted that Table 3 is only an example, and adjustments may be made for different devices or other situations. Values ​​and criteria for classifying different working conditions; to further improve economic efficiency, The EMS can be fine-tuned according to real-time operating conditions. By communicating with the drilling parameter system or platform operating system, it identifies the current operating stage. For example, during the drilling phase, which involves significant load fluctuations, a higher [adjustment level] can be used. Twelve units, calculated according to the formula, are selected without fine-tuning to achieve high safety redundancy. During normal drilling or periods of relatively stable load such as waiting and stopping, a lower redundancy can be appropriately adopted. For example, 6-10 units. When the system's real-time load rate remains low and stable, EMS can operate at a more conservative rate. The system can operate within the lower limit, such as 3 to 6 units, but if increased load volatility is detected, it should immediately revert to the standard. . The principle that fine-tuning can be made based on the calculated value is: when the overall load volatility... When the value is significantly lower than the typical value for the current operating condition (typical value is 0.8 for moderate fluctuation condition and 0.3 for stable condition), it can ensure... Under the premise of Adjust 1-2 units; conversely, when When the value is significantly higher than the typical value, it should be adjusted upward in a timely manner. But in any case, All shall not be lower than based on The calculated safety lower limit should be used, and the system should immediately revert to the standard value calculated by the formula when it detects increased load volatility.

[0141] This step ensures that the system maintains the safety foundation of power supply reliability and stability while pursuing high energy efficiency. Its core lies in dynamically setting and strictly enforcing the minimum safe operating number of a gas generator group. ;

[0142] It is not a fixed value, but a dynamic parameter based on system security boundary analysis. Its setting needs to take into account the following factors:

[0143] First, the Energy Management System (EMS) statistical analysis platform measures the baseline load, peak load, and load change trends under typical operating cycles, such as tripping, running, and normal drilling.

[0144] Secondly, the instantaneous power demand of the platform's largest single electrical equipment, such as mud pumps and winches, during startup or when a sudden load is applied, should be considered. .

[0145] Third, in a dual-rig platform, the worst-case scenario where both rigs may simultaneously experience sudden loads must be considered, i.e., superimposed sudden loads. .

[0146] Fourth, the total rated capacity of the gas generator group operating online. After deducting the current actual load The remaining reserve power is then calculated as follows:

[0147]

[0148]

[0149] in, This is a safety margin set according to the system's inertia and stability requirements.

[0150] Based on the above requirements, the minimum number of gas generator units required for safe operation of a gas generator group can be derived using the following formula. :

[0151]

[0152] in, For the expected base load, This refers to the rated power of a single gas generator. This is a function that rounds up. For example, a drilling platform uses a 300kW generator set. Historical data shows a base load of approximately 2500kW, and a sudden increase in load due to the combined load of two drilling rigs can reach 600kW. The safety margin is set at 300kW. Then: tower.

[0153] It should be noted that, The superimposed sudden load generated by two drilling rigs simultaneously is not a fixed constant, but rather depends on the overall load volatility. Dynamic corrections are performed as follows:

[0154]

[0155] in, This represents a typical peak load based on historical statistics. This is the magnification factor (0.5 in this embodiment). When At higher levels, Increase accordingly, thereby improving Enhanced security redundancy; when At lower levels, Reduce, allow Adjustments should be made appropriately to improve economic efficiency.

[0156] Overall load volatility It is used not only for operating condition identification, but also for dynamic correction. In the calculation formula , making It can adaptively adjust to the intensity of load fluctuations.

[0157] Step S2: If the current number of actually operating units is less than or equal to the minimum safe operating number corresponding to the current operating condition, then restore to the minimum safe operating number and trigger the safety interlock, and control according to the control strategy of the current state matrix area;

[0158] If the current number of operating units is less than or equal to the minimum safe operating number for the current operating condition, the system will revert to the minimum safe operating number and trigger a safety interlock. Once this condition is met, the operating privileges for reducing the number of units will be immediately locked. Simultaneously, a proactive interlock triggering judgment is introduced. This process involves not only considering the current number but also making predictive judgments. For example, if the state matrix strategy (e.g., in the S7 region) is performing high-power charging, and GEN% is expected to increase, the condition for reducing units may subsequently be met. However, the EMS system will determine whether reducing one unit will result in the remaining number of units falling below the minimum safe operating number for the current operating condition. If so, then the operation of the unit should be reduced in advance.

[0159] When the lockout takes effect, the reduction command is prohibited from being issued. The EMS system then relies entirely on the battery strategy in the state matrix to adjust the GEN%: if in a low GEN% region (S1, S4, S7), the load rate can only be increased by charging the battery; if in a high GEN% region (S3, S6, S9), the load rate can be reduced by discharging the battery to ensure system stability. This reflects the principle of prioritizing safety over economic optimization in this embodiment.

[0160] Step S3: If the current number of actually operating units is greater than the minimum safe number of units for the current operating condition, the safety interlock is released, and the unit reduction operation is executed.

[0161] The current number of operating units is greater than the minimum safe operating number for the current operating conditions, i.e., when When this happens, the safety interlock will automatically disengage;

[0162] Its practical application scenarios are: firstly, the system automatically starts the standby unit when the load increases; secondly, the dynamic adjustment mechanism will... The value was lowered, making the current Becoming greater than new Thirdly, forced release under emergency overload: when the system detects that GEN% > extreme high threshold (such as 95%) and the duration exceeds the time limit, it is judged that an overload is imminent. If the standby unit is available, the safety lock prohibiting the addition of units should be forcibly released, and the standby unit should be started immediately to prevent the risk of not being able to add units due to lockout under critical high load.

[0163] It should be noted here that the safety interlock prohibits both reduction and increase, but after it is released, the number of units can be increased or decreased according to the actual situation.

[0164] To prevent brief changes in operating conditions from causing If the value fluctuates frequently, a delay confirmation time can be set. Only if a new operating condition is continuously identified for more than the delay confirmation time, such as 1 minute (this time can be set), will its corresponding value be officially adopted. Value. In Under the dynamic adjustment mechanism, once increased load volatility is detected, the number of online units will be adjusted back to the standard. At this time, the EMS unit optimization module will automatically lock and reduce the number of unit operation commands. No matter how low the current load is, the system will not shut down any online units to ensure the most basic power support and power reserve.

[0165] It should be noted that in this embodiment, the system is activated periodically or when a switch in the operating mode of the equipment on the drilling platform is detected. The assessment determines the relationship between the current number of operating units and the minimum safe operating number for the current operating conditions. Then, based on the identified operating conditions and the overall load fluctuation rate... The value is read from the preset mapping table between operating conditions and the minimum number of units in safe operation, representing the corresponding dynamic value. Value, compare this dynamic target value with the current actual number of operating units. Compare:

[0166] like If other conditions are met, EMS is allowed to initiate a request to reduce the number of units.

[0167] like If so, the safety interlock will be triggered;

[0168] like This indicates that the number of operating units has fallen below the safety threshold required by the new operating conditions, and the EMS must immediately start one or more standby units to ensure that... Reach it as soon as possible .

[0169] In other words, steps S1-S3 provide a coordinated control strategy for the battery energy storage system and the gas generator group, specifically: first, the EMS calculates (SOC%, GEN%) in real time to determine the state matrix region; then, the EMS checks in real time... and The relationship between them; then based on and Decisions are made based on the relationships between them.

[0170] This embodiment will From a static or vague dynamic parameter, it is transformed into a set of dynamic logic linked to working condition identification, with clear adjustment rules and buffering mechanisms. The safety interlock is specifically a series of trigger / release rules based on quantitative comparison and predictive judgment, and its highest priority in control commands is clearly defined. Safety interlocking and state matrix together constitute a complete collaborative control system with distinct levels, safety priority, and dynamic adaptation.

[0171] Step S4: Monitor the load power increment at the power supply network common connection point in real time during the current sampling period. If the power surge threshold is exceeded, send a command to the supercapacitor energy storage system to discharge at maximum power.

[0172] Within the preset time window Within (time can be set), monitor the load power increment in real time within each sampling period;

[0173] EMS monitors the voltage, current, and active power at the point of common coupling of the power supply network in real time with a pre-set sampling period (≤1ms), and calculates the rate of change of load power in real time as the load power increment. .

[0174] If the load power increment Exceeding the power mutation threshold ,Right now Then, a command to discharge at maximum power is sent to the supercapacitor energy storage system;

[0175] Among them, the power mutation threshold The setting is based on the maximum sudden load capacity that a single gas generator set can withstand in a short period of time, typically on the order of seconds, without causing a sudden drop in speed or voltage. If a single unit can withstand a 100kW instantaneous impact, then... It can be set to 80-100kW, providing a buffer for the system to anticipate and act in advance. The supercapacitor only reacts to increases in load power. Exceeding the power mutation threshold It works at any time and monitors in real time throughout the entire process.

[0176] At this time, a hard decision and fast execution mechanism is implemented. This triggering mechanism is a hard decision mechanism; once the triggering condition is met, there is no need to go through the complex state matrix logic judgment of the previous steps S1-S3, and a hard command for maximum power discharge is directly issued to the DC / AC converter of the supercapacitor energy storage system. The entire response time from detection to command issuance is required to be extremely short, usually controlled within 22ms. That is to say, this implementation example takes 20ms as an example. The 20ms time window is configurable, with 20ms for detection + 2ms for command issuance and response.

[0177] Step S5: If the duration of the load power increment exceeds the duration threshold, the incremental state matrix region is redefined based on the current battery state of charge and the total load rate of the generator group, and coordinated control is performed based on the control strategy of the incremental state matrix region.

[0178] In the initial instant of a sudden load increase, such as within 0-500ms, the supercapacitor energy storage system preferentially and independently undertakes most or even all of the compensation power, that is, when a sudden load increase is detected ( When a sudden load increase occurs, the control logic is hard-decision, directly sending a limit command to the supercapacitor converter: "Discharge at maximum power (e.g., 500kW)!" This design is because sudden load increases happen in milliseconds, leaving no time for complex proportional-integral-derivative (PID) adjustments or table lookups. This maximum power setting ensures the fastest possible response, directly using maximum capacity to withstand the impact and prevent grid frequency collapse. Due to the rapid charging and discharging characteristics of supercapacitor energy storage systems, they can discharge within milliseconds. The maximum power can be adjusted according to actual conditions, ranging from 500kW to 1000kW or higher, and this parameter can be manually set.

[0179] This compensation power is used to respond to the increase in load power. It can be provided entirely by the supercapacitor energy storage system, or the supercapacitor energy storage system can handle most of the increase in load power, while the generator set and battery handle the remaining small portion.

[0180] While the supercapacitor energy storage system is discharging, the EMS initiates a parallel timing judgment process in coordination with the battery system's timing. If this sudden load is brief, for example, lasting less than 3 seconds, the supercapacitor energy storage system automatically stops discharging after the load subsides and prepares for energy recovery; if there is reverse power, energy recovery will also be performed.

[0181] If the sudden load is continuous, for example, lasting for more than 3 seconds, the EMS will determine it as a new steady-state load. In this case, the EMS will recalculate the current (SOC%, GEN%) coordinates based on the new total system load level.

[0182] If the new coordinates fall into an area requiring battery discharge, such as region S6, the EMS will send a command to the battery energy storage system, instructing it to take over from the supercapacitor energy storage system with appropriate power for continuous power support. This avoids the supercapacitor energy storage system from being rapidly depleted due to its low energy density, while also leveraging the advantages of batteries in medium- to long-term power regulation.

[0183] When a sudden load drop is detected, the supercapacitor energy storage system can be triggered to charge briefly, absorb regenerated energy, and further stabilize the grid voltage.

[0184] Through the above strategies, it can be seen that the minimum operating quantity control strategy sets a dynamic and robust safety boundary for the entire system, while the supercapacitor energy storage system sudden load compensation strategy provides a high-frequency power disturbance stabilizer. Together with the battery dynamic adjustment strategy, the two constitute a multi-level collaborative control system, ensuring that the power supply system of the oil drilling platform can achieve extremely high energy utilization efficiency and guarantee power supply stability under complex operating conditions.

[0185] To illustrate with a specific example, an oil drilling platform uses a generator group consisting of 24 300kW gas generators to power two DB50 drilling rigs. The hybrid energy storage system includes a lithium iron phosphate battery system (energy storage) with a total capacity of approximately 900AH and a supercapacitor system (power storage) with a total capacity of approximately 33.18F.

[0186] Energy efficiency is defined as the energy utilization efficiency between the power generation of the unit group and the input gas in the power equipment system during drilling operations. This efficiency is a key factor restricting operating costs, as shown by the following formula:

[0187]

[0188] in, For the energy utilization efficiency of gas turbine groups, For the power generation of the generator set, This represents the total gas consumption of the gas turbine group. The number of gas turbine units. This refers to the gas consumption of each unit.

[0189] Under drilling conditions, according to the formula, for the same electricity demand, the more units in operation, the lower the energy efficiency; conversely, the fewer units in operation, the higher the unit operating power, and the higher the energy efficiency. The principle is as follows: if many units are connected in parallel and operated at low loads, each unit operates in an inefficient zone, and its higher gas consumption leads to increased total gas consumption, thus lowering the overall system efficiency, but the power reserve requirement can be met. If optimized to fewer units operating at high loads, each unit operates in a high-efficiency zone, and its lower gas consumption minimizes the total gas consumption, thereby improving the overall system efficiency. However, this approach suffers from insufficient power reserve, poor shock resistance, and susceptibility to disconnection.

[0190] This invention can reduce the number of units in a drilling rig group under complex operating conditions, increase the load rate of a single unit, and ensure stable and uninterrupted power supply. A schematic diagram of the load fluctuation situation of two drilling rigs in an embodiment of this invention is shown below. Figure 4 As shown, the complexity and severity of its load fluctuations are precisely the core problem that this invention aims to solve.

[0191] The supercapacitor energy storage system calculations show that the power compensation device in this implementation example uses 3.0V, 3400F single supercapacitors, with 18 capacitors connected in series to form a capacitor module. The module voltage is:

[0192]

[0193] The module's capacity is:

[0194]

[0195] The entire supercapacitor energy storage system consists of 51 capacitor modules, 17 of which are connected in series and 3 in parallel. The configuration can be expressed as follows:

[0196]

[0197] The calculation results show that the total voltage of the supercapacitor energy storage system is The total capacity of the supercapacitor energy storage system is .

[0198] For the safety of the supercapacitor, the charging voltage is limited to 830V, the minimum allowable discharge voltage is set at 620V, the discharge power is limited to 500KW, and the discharge capacity is:

[0199]

[0200]

[0201] In the formula: This refers to the supercapacitive discharge capacity. This represents the total capacity of the supercapacitor module. The highest voltage at which the supercapacitor is fully charged. This is the lowest voltage after overcapacitive discharge, and the discharge time is:

[0202]

[0203]

[0204] The battery energy storage system calculation in this implementation example uses lithium iron phosphate batteries, with each battery cell being 3.2V and 150Ah. Multiple battery cells are combined into a module. In this scheme, each module consists of 24 3.2V, 150Ah lithium iron phosphate batteries and a data acquisition harness. Ten modules and one high-voltage box are then combined into a cluster. The entire battery energy storage system consists of 6 clusters of batteries.

[0205]

[0206] The calculation results show that the total voltage of the battery stack is: Total capacity of the battery stack: .

[0207] The battery dynamic adjustment strategy in this embodiment is the core of the intelligent adjustment of the hybrid energy storage system. The energy management system (EMS) collects the state of charge (SOC%) of the battery energy storage system and the total load rate (GEN%) of the entire online gas generator group in real time at preset intervals (e.g., 1 second).

[0208] The specific execution of control commands:

[0209] EMS maps the (SOC%, GEN%) coordinates to real-time detected coordinates. Figure 3 One of the nine zones shown will be used, and the following power command will be executed, with reference to 24 300kW units in this embodiment:

[0210] If entering the S3 region (high SOC, high GEN):

[0211] At this time, the EMS sends a high-rate discharge command to the converter (PCS) of the battery energy storage system. This command is to continuously discharge at a power of not less than 200kW until the SOC% drops to the S_M range or the GEN% drops to the G_M range. The purpose of this is to quickly consume the battery energy and effectively reduce the load on the unit.

[0212] If entering the S7 region (low SOC, low GEN):

[0213] At this point, the EMS sends a high-rate charging command to the PCS, which charges the battery at the maximum acceptable power, such as 250kW, to quickly replenish the battery and increase the load on the generator set until the SOC% enters the S_M range or the GEN% rises to the G_M range.

[0214] If entering S2 (high SOC%, medium GEN%) / S6 (medium SOC%, high GEN%) region:

[0215] At this time, the EMS sends a low-to-medium rate discharge command to the PCS. The discharge power of this command can be set to 50kW-100kW for fine adjustment, gradually reducing the high SOC% or high GEN% and moving the unit's operating point towards the high-efficiency zone.

[0216] Entering the S4 (medium SOC%, low GEN%) / S8 (low SOC%, medium GEN%) region:

[0217] At this time, the EMS sends a low-to-medium speed charging command to the PCS. The charging power of this command can be set to 50kW-100kW to gradually increase the unit load and optimize the unit's operating efficiency.

[0218] Implementing a minimum number of operating units is the bottom line for safe system operation, preventing overly aggressive control strategies.

[0219] In this example The setting logic is as follows =12 units, based on historical data analysis. The calculation is based on the baseline load of the two DB50 drilling rigs during off-peak operating periods, the maximum starting power of a single unit, and the most critical factor: the extreme case of possible superposition of loads from both drilling rigs. The 12 units have a total capacity of 3600kW. After deducting the current actual load, the standby power capacity provided must be greater than the maximum possible superposition of loads, plus a certain safety margin.

[0220] In this embodiment, It is not a fixed value, but rather dynamically calculated based on the comprehensive load volatility λ. For example, when a highly volatile operating condition is identified (e.g., λ ≥ 0.8), The calculation yields 12 units; when identified as a stable operating condition (e.g., λ≤0.3), The number of units can be dynamically reduced to 6 or lower to further improve economic efficiency.

[0221] because It is dynamically calculated based on the comprehensive load fluctuation rate λ, when the number of online units reaches the minimum corresponding to the current operating condition due to load reduction. At this time, it can be linked with the control strategy, that is, the EMS will lock the reduction operation of the generator group. At this time, if GEN% is still in the low load area ( The system will rely entirely on the battery charging function to increase GEN%, instead of shutting down the unit. This reflects the synergy and safety priority principle among the multiple strategies of this invention.

[0222] Real-time supercapacitor compensation strategy is a supplement to the insufficient response speed of batteries and is the key to ensuring power quality.

[0223] First, the EMS's fast control unit performs rapid detection and triggering, monitoring the power signal at the point of common coupling with an extremely short sampling period, such as 1ms. Simultaneously, it calculates the load power change rate in real time, identifying power increments within a 20ms time window. When the load reaches 100kW, it is considered a sudden load event. Its triggering mechanism is a hard decision, which does not require complex logic judgment. It aims to achieve the fastest speed, requiring the maximum power discharge command to be issued to the DC / AC converter of the supercapacitor energy storage system within 2ms.

[0224] Secondly, the power allocation and coordination strategy prioritizes the supercapacitor energy storage system. At the initial moment of a sudden load increase, typically within a few hundred milliseconds (and with a configurable discharge duration, such as seconds or minutes), the supercapacitor energy storage system assumes the majority of the compensation power. Its discharge power can be set to 500kW or even higher as needed to quickly stabilize the grid frequency and voltage. Simultaneously with the supercapacitor energy storage system's discharge, the EMS initiates a parallel judgment process. If the sudden load is continuous, for example, exceeding 3 seconds, the EMS recalculates the (SOC%, GEN%) coordinates based on the new total system load level. If the new coordinates fall within areas requiring battery discharge, such as S3 and S6, the EMS instructs the battery energy storage system to take over from the supercapacitor energy storage system for medium- to long-term power support, thus preventing the supercapacitor energy storage system from depleting its energy too quickly. This creates a perfect balance between the supercapacitor energy storage system's ability to withstand peak loads and the battery's continuous support.

[0225] To verify the effectiveness, the energy utilization efficiency within the same drilling operation cycle was statistically analyzed after introducing the control method described in this invention. The results are as follows: Figure 6 As shown, after adopting this method, the overall energy utilization efficiency of the system has been significantly and continuously improved, while the power supply stability has not been negatively affected, verifying the effectiveness of the invention. The energy utilization efficiency comparison diagram before and after the implementation of the hybrid energy storage system in this embodiment of the invention is shown below. Figure 6 As shown in the figure, the effectiveness and technical advantages of the present invention are intuitively demonstrated through data comparison.

[0226] This embodiment uses a state matrix to deeply couple the battery state with the generator group state, achieving adaptive matching between the charging / discharging strategy and the unit load rate, ensuring the system always adjusts towards the optimal energy efficiency range. This significantly reduces the number of gas generator units in constant operation while maintaining power supply safety. Experiments show that on a dual-drilling platform, the number of operating units can be reduced from 16 to 12, a 25% reduction, thereby significantly improving the single-unit load rate and the overall system energy utilization efficiency.

[0227] This embodiment sets a minimum number of operating units, effectively preventing the risk of system collapse due to misjudgment or extreme operating conditions. Simultaneously, the supercapacitor energy storage system's rapid response mechanism is specifically designed to handle high-frequency, high-power impact loads that the battery cannot keep up with in time, forming a multi-layered protection system where the battery adjusts the load averaging and the supercapacitor withstands the impact.

[0228] This embodiment is particularly suitable for power supply systems of oil drilling platforms with multiple loads interfering with each other and complex and variable operating conditions, providing an effective technical approach to solve the contradiction between energy efficiency and stability in such scenarios.

[0229] Example 2

[0230] This embodiment provides a generator group and hybrid energy storage coordinated control system for drilling platforms, including:

[0231] The status recognition module is configured to determine the region of the current status matrix based on the current battery state of charge and the total load rate of the generator group, and to determine the minimum safe number of units to operate under the current working condition based on the current load volatility and the working mode of the equipment in the drilling platform.

[0232] The safety interlock trigger module is configured to restore to the minimum safe operating number and trigger the safety interlock if the current actual number of operating units is less than or equal to the minimum safe operating number corresponding to the current operating condition, and to control according to the control strategy of the current state matrix area.

[0233] The safety interlock release module is configured to release the safety interlock and execute the unit reduction operation if the number of currently operating units is greater than the minimum safe number of units for the current operating condition.

[0234] The load increment control module is configured to monitor the load power increment at the power supply network common connection point in the current sampling period in real time. If the power change threshold is exceeded, a command to discharge the maximum power is sent to the supercapacitor energy storage system.

[0235] The state re-identification module is configured to re-determine the region of the updated state matrix based on the current battery state of charge and the total load rate of the generator group if the duration of the load power increment exceeds the duration threshold, and then perform coordinated control based on the control strategy of the region of the updated state matrix.

[0236] The examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in Embodiment 1 above. It should be noted that the above modules, as part of the system, can be executed in a computer system such as a set of computer-executable instructions.

[0237] The descriptions of each embodiment in the above embodiments have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0238] The proposed system can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and the division of modules described above is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed.

[0239] Example 3

[0240] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the collaborative control method for generator groups and hybrid energy storage for drilling platforms as described in Embodiment 1 above.

[0241] Example 4

[0242] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the collaborative control method for generator groups and hybrid energy storage for drilling platforms as described in Embodiment 1 above.

[0243] Example 5

[0244] This embodiment provides a computer program product or computer program, including computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps in the generator group and hybrid energy storage coordinated control method for drilling platforms described in Embodiment 1 above.

[0245] Those skilled in the art will understand that embodiments of the present invention can provide methods, systems, or computer program products. Therefore, the present invention can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0246] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0247] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0248] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0249] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0250] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for coordinated control of generator groups and hybrid energy storage for drilling platforms, characterized in that, include: The region of the current state matrix is ​​determined based on the current battery state of charge and the total load rate of the generator group. The minimum number of safe operating units corresponding to the current working condition is determined based on the current load volatility and the working mode of the equipment in the drilling platform. If the current number of actually operating units is less than or equal to the minimum safe operating number corresponding to the current operating condition, then the system will be restored to the minimum safe operating number and a safety interlock will be triggered. Control will be performed according to the control strategy of the current state matrix area. If the number of units currently in operation is greater than the minimum safe number of units for the current operating condition, the safety interlock is released, and the unit reduction operation is executed. The system monitors the load power increment at the power supply network common connection point within the current sampling period in real time. If the power surge threshold is exceeded, a command to discharge at maximum power is sent to the supercapacitor energy storage system. If the duration of the load power increment exceeds the duration threshold, the updated state matrix region is redefined based on the current battery state of charge and the total load rate of the generator group, and coordinated control is carried out based on the control strategy of the updated state matrix region. The process of determining the region of the current state matrix based on the current battery state of charge and the total load rate of the generator group, and determining the minimum safe number of units to operate under the current conditions based on the current load volatility and the operating mode of the equipment on the drilling platform, includes: The system collects operating status data in real time at a preset sampling period and calculates the current battery state of charge and the total load rate of the generator group. Based on the pre-built state matrix, determine the region of the current state matrix corresponding to the current battery state of charge and the total load rate of the generator group; Collect the operating modes of the equipment in the drilling platform and calculate the current overall load volatility; The current operating condition is determined based on the current comprehensive load fluctuation rate and the working mode of the equipment in the drilling platform. Based on the preset mapping table between the operating condition and the minimum safe number of operating units, the minimum safe number of operating units corresponding to the current operating condition is determined. The system collects the operating modes of the equipment on the drilling platform and calculates the current overall load fluctuation rate. Determine the current operating conditions based on the current load volatility and the operating modes of the equipment on the drilling platform; Calculate the current real-time load fluctuation rate based on the total rated power of the generator; Obtain the operating condition flags of the equipment on the drilling platform and get the preset fluctuation coefficients corresponding to the operating condition flags; The comprehensive load volatility is calculated based on the preset volatility coefficient corresponding to the load volatility and the operating condition flag. : in, This is the weighting coefficient for the operating conditions. , It is the normalized load volatility. It is the preset fluctuation coefficient corresponding to the operating condition flag.

2. The method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in claim 1, characterized in that, The state matrix is ​​divided into nine regions based on different states of charge of the battery energy storage system and different total load rates of the generator group, including: Region S1, High-charge state That is, State of Charge (SOC%) > 80%, low total load rate state. That is, the total load factor (GEN%) is less than 40%. Second region S2, high-charge state That is, SOC% > 80%, which is the state of total load factor. That is, 40% ≤ GEN% ≤ 90%; Region S3, High-charge state That is, SOC% > 80%, a high total load condition. That is, GEN% > 90%; Region 4, S4, Medium-charged state That is, 30%≤SOC%≤80%, low total load condition. That is, GEN% < 40%; Fifth region S5, medium-Dutch electrical state That is, 30%≤SOC%≤80%, the total load factor. That is, 40% ≤ GEN% ≤ 90%; Region 6, S6, Medium-Dutch Electricity State That is, 30%≤SOC%≤80%, a high total load condition. That is, GEN% > 90%; Region 7, S7, low charge state That is, SOC% < 30%, low total load rate state. That is, GEN% < 40%; Region 8, S8, low charge state That is, SOC% < 30%, medium total load factor. That is, 40% ≤ GEN% ≤ 90%; Ninth region S9, low charge state That is, SOC% < 30%, a state of high total load. That is, GEN% > 90%.

3. The method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in claim 1, characterized in that, The minimum number of units in safe operation The calculation is as follows: in, For the expected base load, It is a superimposed sudden load generated simultaneously by two drilling rigs. For safety margin, This refers to the rated power of a single gas generator. This is the floor function.

4. A generator group and hybrid energy storage coordinated control system for drilling platforms, characterized in that, include: The status recognition module is configured to determine the region of the current status matrix based on the current battery state of charge and the total load rate of the generator group, and to determine the minimum safe number of units to operate under the current working condition based on the current load volatility and the working mode of the equipment in the drilling platform. The safety interlock trigger module is configured to restore to the minimum safe operating number and trigger the safety interlock if the current actual number of operating units is less than or equal to the minimum safe operating number corresponding to the current operating condition, and to control according to the control strategy of the current state matrix area. The safety interlock release module is configured to release the safety interlock and execute the unit reduction operation if the number of currently operating units is greater than the minimum safe number of units for the current operating condition. The load increment control module is configured to monitor the load power increment at the power supply network common connection point in the current sampling period in real time. If the power change threshold is exceeded, a command to discharge the maximum power is sent to the supercapacitor energy storage system. The state re-identification module is configured to re-determine the region of the updated state matrix based on the current battery state of charge and the total load rate of the generator group if the duration of the load power increment exceeds the duration threshold, and to carry out coordinated control based on the control strategy of the region of the updated state matrix. The process of determining the region of the current state matrix based on the current battery state of charge and the total load rate of the generator group, and determining the minimum safe number of units to operate under the current conditions based on the current load volatility and the operating mode of the equipment on the drilling platform, includes: The system collects operating status data in real time at a preset sampling period and calculates the current battery state of charge and the total load rate of the generator group. Based on the pre-built state matrix, determine the region of the current state matrix corresponding to the current battery state of charge and the total load rate of the generator group; Collect the operating modes of the equipment in the drilling platform and calculate the current overall load volatility; The current operating condition is determined based on the current comprehensive load fluctuation rate and the working mode of the equipment in the drilling platform. Based on the preset mapping table between the operating condition and the minimum safe number of operating units, the minimum safe number of operating units corresponding to the current operating condition is determined. The system collects the operating modes of the equipment on the drilling platform and calculates the current overall load fluctuation rate. Determine the current operating conditions based on the current load volatility and the operating modes of the equipment on the drilling platform; Calculate the current real-time load fluctuation rate based on the total rated power of the generator; Obtain the operating condition flags of the equipment on the drilling platform and get the preset fluctuation coefficients corresponding to the operating condition flags; The comprehensive load volatility is calculated based on the preset volatility coefficient corresponding to the load volatility and the operating condition flag. : in, This is the weighting coefficient for the operating conditions. , It is the normalized load volatility. It is the preset fluctuation coefficient corresponding to the operating condition flag.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in any one of claims 1-3.

6. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in any one of claims 1-3.

7. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps in the method for coordinated control of generator groups and hybrid energy storage for drilling platforms as described in any one of claims 1-3.

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