Gas generator and energy storage battery hybrid energy supply scheduling strategy

Abstract

The invention discloses a gas generator and energy storage battery hybrid energy supply scheduling strategy, belongs to the technical field of storage and charging, and mainly solves the problems that in an energy supply mode of a gas generator in existing oil and gas drilling operation, the power generation efficiency of the gas generator is low, and the gas generator is prone to flameout when coping with an impact load. Measuring and acquiring data of voltage and current of oil and gas drilling operation energy consumption equipment, the starting number of gas generators and the residual electric quantity of an energy storage battery; 2, calculating the real-time total power, the power abrupt change rate and the load rate of the gas generator according to the measured data; 3, the number of gas generators needing to be started and the charging and discharging state of energy storage electricity are determined according to the calculation and analysis result; and 4, repeating the steps 1-3 until the drilling operation is finished. The scheduling strategy depends on an existing energy management system, the starting number of the gas generators and the charging and discharging states of the energy storage batteries are reasonably controlled by combining the total power fluctuation characteristics of oil and gas drilling operation, comprehensive management of hybrid energy supply of the gas generators and the energy storage batteries in the oil and gas drilling operation is achieved, the power generation efficiency of the gas generators is improved, and the energy consumption is reduced. Meanwhile, flameout of the gas generator is avoided, and operation safety is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil and gas drilling storage and charging, and in particular, relates to a hybrid energy supply scheduling strategy of a gas generator and an energy storage battery. Background Art

[0002] In order to solve the problems of low economic benefits caused by traditional diesel engines or diesel generators, in addition to power grid power supply, gas generators are also widely used in remote areas where power grids cannot be set up for existing oil and gas drilling operations. However, due to the relatively weak working characteristics of gas generators, when dealing with fluctuating loads or impact loads, gas generators have problems such as slow response speed, low gas-to-electricity conversion efficiency, and easy flameout, which is not conducive to improving the economic benefits of oil and gas drilling operations, and also poses a major hidden danger to the safety of oil and gas drilling operations.

[0003] Based on the "peak shaving and valley filling" mechanism, energy storage batteries are used to solve the problem of gas generator power supply in oil and gas drilling operations. However, the load of oil and gas drilling operations basically shows irregular fluctuations, which greatly increases the difficulty of hybrid energy supply scheduling of gas generators and energy storage batteries. The existing strategy of scheduling the charging and discharging of energy storage batteries only from the perspective of power threshold is difficult to meet the working conditions of oil and gas drilling operations. Therefore, there is an urgent need for a hybrid scheduling strategy of gas generators and energy storage batteries that can cope with the load fluctuation characteristics of oil and gas drilling operations, reasonably start the number of gas generators and schedule the charging and discharging of energy storage batteries, and ensure the safety of oil and gas drilling operations while improving the power generation efficiency of gas generators. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a hybrid energy supply scheduling strategy of gas generators and energy storage batteries to improve the power generation efficiency of gas generators and ensure the safety of oil and gas drilling operations.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0006] A hybrid energy supply scheduling strategy of gas generators and energy storage batteries:

[0007] The hybrid energy supply scheduling strategy relies on an existing energy management system;

[0008] The hybrid energy supply scheduling strategy includes the following steps:

[0009] Step 1, measuring and obtaining data on the voltage U(t), current I(t), number of gas generators turned on N(t), and remaining power SOC(t) of the energy storage battery of the oil and gas drilling operation energy-consuming equipment at time t;

[0010] The energy-consuming equipment includes winches, mud pumps, top drives, air-fixing systems, and living quarters;

[0011] The number of gas generators turned on N(t) is determined according to the gas generator switch signal;

[0012] The remaining power SOC(t) of the energy storage battery is fed back in real time by the energy storage battery management system;

[0013] Step 2: Calculate the total power PZ(t), power mutation rate ω(t) and gas generator load rate at time t based on the measured data

[0014] The power mutation rate ω(t) represents the speed of power change between the current time t and the previous time t-t0, and the calculation expression is:

[0015]

[0016] The gas generator load rate The calculation expression is:

[0017]

[0018] Among them, t0 is the data collection time interval, PR represents the maximum power of each gas generator;

[0019] Step 3, determining the number of gas generators to be turned on and the charge and discharge status of the energy storage battery according to the calculation and analysis results;

[0020] Step 4: Repeat steps 1-3 at interval t0 until the drilling operation is completed.

[0021] Furthermore, the step 3 restricts the charging and discharging of the energy storage battery, including:

[0022] When the energy storage battery SOC(t) ≥ 90%, the energy storage battery is prohibited from charging;

[0023] When the energy storage battery SOC(t)≤20%, the energy storage battery is prohibited from discharging;

[0024] When the energy storage battery is 20%<SOC(t)<90%, the energy storage battery is charged and discharged according to demand.

[0025] Furthermore, the step 3 performs the following judgment and scheduling when PF(t-t0)=0:

[0026] when and If SOC(t)≥90%, one gas generator is shut down, PF(t)=0, PC(t)=0;

[0027] when and If SOC(t) is less than 90%, the number of gas generators turned on remains unchanged, PC(t) = 0.65*N(t)*PR-PZ(t)-t0*ω(t);

[0028] when and Then the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0;

[0029] when or If SOC(t)>20%, the number of gas generators turned on remains unchanged, PF(t)=max[(ω(t)-0.9*N(t)*δ)*t0, PZ(t)-0.65*PR*N(t)];

[0030] when or If SOC(t)≤20%, add one gas generator, PF(t)=0, PC(t)=0;

[0031] Wherein, PC(t) is the discharge power of the energy storage battery at time t, and PC(t) is the charging power of the energy storage battery at time t.

[0032] Furthermore, in step 3, when PF(t-t0)>0, the following judgment and scheduling are performed:

[0033] when and Then the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0;

[0034] when or If SOC(t)>20%, the number of gas generators turned on remains unchanged, PF(t)=max[(ω(t)-0.9*N(t)*δ)*t0, PZ(t)-0.65*PR*N(t)];

[0035] when or If SOC(t)≤20%, the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0;

[0036] when or If SOC(t)≤20%, add one gas generator, PF(t)=0, PC(t)=0.

[0037] The above solution of the present invention includes at least the following advantages and beneficial effects:

[0038] (1) Comprehensively consider the impact of two factors, the real-time total power size and the power mutation rate, on the hybrid energy supply scheduling of gas generators and energy storage batteries, which not only ensures that the load rate of the gas generator is always in the reasonable range of 0.5-0.7, but also avoids the gas generator from responding too slowly and stalling.

[0039] (2) Discharge or charge scheduling can only be performed when the remaining power of the energy storage battery is within a reasonable range, which can avoid overcharging or over-discharging of the energy storage battery and greatly improve the service life of the energy storage battery.

[0040] (3) The scheduling strategy only considers the real-time total power and power mutation rate for the operating parameters. There is no need to distinguish between operations such as drilling, drilling, circulation, and pulling out of the hole, which reduces the complexity of scheduling and improves the adaptability of the scheduling strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flow chart of a hybrid energy supply scheduling strategy of a gas generator and an energy storage battery provided by an embodiment of the present invention.

[0042] Figure 2 It is a schematic diagram of data collection provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of the present invention.

[0044] Embodiment 1

[0045] refer to Figure 1 , an embodiment of the present invention proposes a hybrid energy supply scheduling strategy of a gas generator and an energy storage battery, the hybrid energy supply scheduling strategy comprising the following steps:

[0046] Step 1: Measure and obtain the data of the voltage U(t), current I(t), number of gas generators turned on N(t), and remaining power SOC(t) of the energy storage battery during oil and gas drilling operations at time t.

[0047] It should be clear that in step 1 of the embodiment of the present invention, the energy-consuming equipment includes a winch, a mud pump, a top drive, a solid control system and a living barracks, the number of gas generators turned on is determined by a switch signal, and the energy storage battery SOC (t) is fed back in real time by the energy storage battery management system. The above data is collected by relying on an existing energy management system, such as Figure 2 shown.

[0048] Step 2: Calculate the total power PZ(t), power mutation rate ω(t) and gas generator load rate at time t based on the measured data

[0049] It should be clear that in step 2 of the embodiment of the present invention, the power mutation rate ω(t) is the average power change rate within the time interval between the current time t and the previous time t-t0, and the calculation expression is:

[0050]

[0051] Among them, t0 is the data collection time interval.

[0052] In step 2 of the embodiment of the present invention, the gas generator load rate The calculation expression is:

[0053]

[0054] Where PR represents the maximum power of each gas generator.

[0055] Step 3: Determine the number of gas generators that need to be started and the charging and discharging status of the energy storage electricity based on the calculation and analysis results.

[0056] Preferably, in step 3 of the embodiment of the present invention, the restriction on charging and discharging of the energy storage battery includes:

[0057] When the energy storage battery SOC(t) ≥ 90%, the energy storage battery is prohibited from charging;

[0058] When the energy storage battery SOC(t)≤20%, the energy storage battery is prohibited from discharging;

[0059] When the energy storage battery is 20%<SOC(t)<90%, the energy storage battery is charged and discharged according to demand.

[0060] It is understandable that limiting the charging and discharging of energy storage batteries can avoid overcharging or over-discharging of the energy storage batteries and extend the service life of the energy storage batteries.

[0061] Preferably, in step 3 of the embodiment of the present invention, when PF(t-t0)=0, performing judgment and scheduling includes:

[0062] when and If SOC(t)≥90%, one gas generator is shut down, PF(t)=0, PC(t)=0;

[0063] when and If SOC(t) is less than 90%, the number of gas generators turned on remains unchanged, PC(t) = 0.65*N(t)*PR-PZ(t)-t0*ω(t);

[0064] when and Then the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0;

[0065] when or If SOC(t)>20%, the number of gas generators turned on remains unchanged, PF(t)=max[(ω(t)-0.9*N(t)*δ)*t0, PZ(t)-0.65*PR*N(t)];

[0066] when or If SOC(t)≤20%, add one gas generator, PF(t)=0, PC(t)=0;

[0067] Among them, δ is the maximum response speed of the gas generator, PF(t) is the discharge power of the energy storage battery at time t, and PC(t) is the charging power of the energy storage battery at time t.

[0068] It is understandable that when or If one condition is met, the gas generator and the energy storage battery must respond; then the decision is made based on the remaining power SOC(t) of the energy storage battery whether to add a gas generator or discharge the energy storage battery.

[0069] It is understandable that only when and Both conditions must be met at the same time to shut down a gas generator or charge the energy storage battery when SOC(t) is less than 90%.

[0070] Preferably, in step 3 of the embodiment of the present invention, when PF(t-t0)>0, performing judgment and scheduling includes:

[0071] when and Then the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0;

[0072] when or If SOC(t)>20%, the number of gas generators turned on remains unchanged, PF(t)=max[(ω(t)-0.9*N(t)*δ)*t0, PZ(t)-0.65*PR*N(t)];

[0073] when or If SOC(t)≤20%, the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0;

[0074] when or If SOC(t)≤20%, add one gas generator, PF(t)=0, PC(t)=0.

[0075] It is understandable that there are only two situations in which the energy storage battery stops discharging: one is when the remaining power SOC(t) of the energy storage battery is ≤20%; the other is when and In any case, the energy storage battery will stop discharging, and then a decision will be made based on demand whether to add a gas generator.

[0076] Step 4: Repeat steps 1-3 at interval t0 until the drilling operation is completed.

[0077] The above embodiment is only one of the embodiments of the present invention and is not intended to limit the protection scope of the present invention. Any changes made by adopting the design principle of the present invention and performing non-creative work on this basis should fall within the protection scope of the present invention.

Claims

1. A hybrid energy supply scheduling strategy of gas generators and energy storage batteries, characterized in that: The scheduling strategy includes the following steps: Step 1, measure and obtain the real-time voltage U(t), current I(t), number of gas generators turned on N(t) and remaining power SOC(t) of energy storage batteries of energy-consuming equipment in oil and gas drilling operations at time t; Step 2: Calculate the total power PZ(t), power mutation rate ω(t) and gas generator load rate at time t based on the measured data Step 3: Determine the number of gas generators that need to be started and the charge and discharge status of the energy storage battery according to the calculation and analysis results; Step 4: Repeat steps 1-3 at interval t0 until the drilling operation is completed.

2. A hybrid energy supply scheduling strategy of a gas generator and an energy storage battery according to claim 1, characterized in that: Step 3 restricts the charging and discharging of the energy storage battery as follows: When the SOC(t) of the energy storage battery is ≥90%, the energy storage battery is not charged; When the SOC(t) of the energy storage battery is ≤20%, the energy storage battery does not discharge; When the energy storage battery has a SOC (t) of 20% < 90%, the energy storage battery is charged and discharged according to demand.

3. A hybrid energy supply scheduling strategy of a gas generator and an energy storage battery according to claim 2, characterized in that: The step 3 performs the following judgment and scheduling when PF(t-t0)=0: when and If SOC(t)≥90%, one gas generator is shut down, PF(t)=0, PC(t)=0; when and If SOC(t) is less than 90%, the number of gas generators turned on remains unchanged, PC(t) = 0.65*N(t)*PR-PZ(t)-t0*ω(t); when and Then the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0; when or If SOC(t)>20%, the number of gas generators turned on remains unchanged, PF(t)=max[(ω(t)-0.9*N(t)*δ)*t0, PZ(t)-0.65*PR*N(t)]; when or If SOC(t)≤20%, add one gas generator, PF(t)=0, PC(t)=0; Among them, δ is the maximum response speed of each gas generator, PR is the maximum power of each gas generator, t0 is the data collection time interval, PC(t) is the discharge power of the energy storage battery at time t, and PC(t) is the charging power of the energy storage battery at time t.

4. A hybrid energy supply scheduling strategy of a gas generator and an energy storage battery according to claim 2, characterized in that: The step 3 performs the following judgment and scheduling when PF(t-t0)>0: when and Then the number of gas generators turned on remains unchanged, PF(t)=0, PC(t)=0; when or If SOC(t)>20%, the number of gas generators turned on remains unchanged, PF(t)=max[(ω(t)-0.9*N(t)*δ)*t0, PZ(t)-0.65*PR*N(t)]; when or If SOC(t)≤20%, the number of gas generators turned on remains unchanged, PC(t)=0, PC(t)=0; when or If SOC(t)≤20%, add one gas generator, PF(t)=0, PC(t)=0.

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