Renewable energy consumption-based oil transfer station gathering and transportation system power dispatching method

Abstract

The invention discloses an oil transfer station gathering and transportation system power dispatching method based on renewable energy consumption, and the method comprises the steps: collecting the historical data of each process load of an oil transfer station in a thin oil gathering and transportation system, carrying out the data cleaning, and carrying out the statistics of variable load processes and equipment involved in the data cleaning; performing calculation and arrangement based on historical data to obtain average operation time and average operation power of a variable load process and equipment; monitoring the abandoned electricity quantity in renewable energy power generation merged into the power grid in real time to obtain an abandoned electricity time sequence and total quantity data; the variable load in the thin oil gathering and transportation system of the oil transfer station preferentially consumes renewable energy sources and abandons electricity, and if the renewable energy sources are insufficient, valley electricity supplement is preferentially considered based on the peak-valley electricity price of the power grid. The utilization rate of renewable energy sources is increased, and energy waste is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of oilfield gathering and transportation system engineering, and in particular relates to a power dispatching method for an oil transfer station gathering and transportation system based on renewable energy consumption. Background Art

[0002] Oil and gas production in oil fields mainly includes three major systems: gathering and transportation, water injection, and mechanical production. More than 90% of the energy consumption of oil and gas production operations is concentrated in these three systems, among which the energy consumption of the gathering and transportation system accounts for 60% of the energy consumption of oil and gas production operations, and is the main direction of energy conservation and carbon reduction. The heating method adopted by oil fields in the process of crude oil gathering and transportation is usually mainly to collect oil by mixing with hot water. Its main purpose is to mix the heated hot water back into the wellhead produced fluid to meet the temperature required by the gathering and transportation process. The main energy-consuming equipment in the thin oil gathering and transportation system of the oil transfer station is the water mixing pump for mixing with water, the external transmission pump for crude oil external transmission of the oil transfer station, and the heating furnace for heating hot water. The load of each energy-consuming equipment is high. In the context of pursuing more efficient and environmentally friendly energy utilization methods, the consumption of renewable energy abandoned electricity and the optimization of grid electricity prices have become new ways to improve the power supply efficiency of energy-consuming equipment in oil transfer stations and reduce carbon emissions. With the large-scale grid connection of renewable energy sources such as wind power and photovoltaics, how to effectively solve the problems of wind and solar power abandonment while ensuring the stable operation of the power grid, and combine it with the optimization of power grid electricity prices to provide a stable and reliable power supply for the crude oil gathering and transportation system, and convert this part of clean energy that might have been wasted into actual production power has become an urgent problem to be solved. Summary of the invention

[0003] The purpose of the present invention is to provide a power dispatching method for the oil transfer station gathering and transportation system based on renewable energy consumption, aiming to improve the energy utilization rate of the oil transfer station thin oil gathering and transportation system, by giving priority to consuming renewable energy abandonment power, and combining with the optimization of power grid electricity prices, to provide a stable and reliable power supply for the system. It includes: Collect historical data of process load during the operation of the oil transfer station gathering and transportation system; Count the variable load processes and equipment involved in the historical load data; Calculate the average operating time and average operating power of variable load processes and equipment; Real-time monitoring of the amount of abandoned power generated by renewable energy connected to the grid, and obtaining the time series and total amount data of abandoned power; Variable loads are prioritized to absorb abandoned electricity from renewable energy sources, and if insufficient, valley power is prioritized to supplement based on the peak and valley electricity prices of the power grid; According to the amount of abandoned electricity in renewable energy generation and the peak and valley electricity prices of the power grid, a scheduling model is established based on the goal of minimizing operating costs; Optimize and solve the scheduling model to obtain the water mixing amount and the operating time of each electrical equipment in each scheduling time period; Based on the water mixing amount and the operating time of various electrical equipment within the scheduling time period, the load or start and stop time of each electrical equipment is adjusted.

[0004] Furthermore, the process load historical data includes historical grid electricity price data, historical load data, historical electricity consumption data, and power data of electrical equipment.

[0005] Furthermore, the immutable load is the electrical equipment that operates continuously throughout the day or during a fixed time period, and the variable load is the electrical equipment that can be interrupted during the power consumption period; Furthermore, the variable load includes an electric heating furnace, a water mixing pump and an external transfer pump.

[0006] Furthermore, the establishment of the scheduling model includes: Establish the objective function; The objective function is established based on the minimum operating cost within the day; Establish decision variables; The decision variables are the operating time of the variable load equipment in each scheduling period and the water content in each scheduling period; Establish constraints; Constraints include scheduling time, flow, pressure, temperature, water content, power and storage.

[0007] Further The objective function is: Where: Where: is the daily operating cost; For the The total electricity cost of the water mixing pump, external transfer pump and electric heating furnace during a scheduling period; For the The total startup cost of the water mixing pump, external transfer pump and heating furnace within a scheduling period; For the Total cost including natural gas heating furnace in a scheduling period; is the price of electricity from the oil field’s own renewable energy; For the valley electricity price, is the flat electricity price, For peak electricity prices; For the The oil field’s own renewable energy electricity consumed during the dispatching period; For the The power consumption of the oil transfer station's thin oil gathering and transportation system during the off-peak period within a scheduling period is is the power consumption of the oil transfer station’s thin oil gathering and transportation system during the flat period during the t-th scheduling period, For the The power consumption of the oil transfer station's thin oil gathering and transportation system during peak hours within a scheduling period.

[0008] Furthermore, The operating time of the variable load equipment in each scheduling time period in the decision variable is defined as ,

[0009] The water content in each scheduling period in the decision variable is defined as , Where: For the The variable load pump is The running time in the scheduling time period is equal to 0, which means the device is not running; For the The previous link corresponding to the variable load device is in the The amount of water added during a scheduling period; is the number of variable load devices.

[0010] Furthermore, let the number of daily dispatches be The first time, starting from 0:00 on the same day, The duration of a scheduling time period is The first scheduling time period of each day starts at 0:00 and the last scheduling time period ends at 24:00. The total scheduling time of the day is 24 hours, that is: =24 Create constraint equations: Time constraints: Where: It is calculated based on historical operation data. Average daily operating time of variable load equipment; , , and Respectively The variable load device is The time when renewable energy is consumed during each dispatch period and the operation time during off-peak, flat and peak periods; , and They are the time of trough, flat and peak periods respectively; Flow, hydraulic and thermal balance constraints: Where: is the starting pressure; is the end point pressure; Pipeline flow rate; is a dimensionless quantity; Where: is the starting temperature; is the end point pressure; is the pipeline mass flow rate; The ground temperature at the depth of the buried pipeline; is a dimensionless quantity; Oil return pressure constraints at each wellhead: Where: For the The return oil pressure of the well; For the The upper limit of the oil return pressure of the well; is the wellhead back pressure limit node set; Constraints on water injection pressure at wellhead of each well: Where: For the The water injection pressure of the well; For the The lower limit of the water injection pressure of the well; It is the node set that limits the water injection pressure at the wellhead.

[0011] Oil transfer station return oil temperature constraints: Where: For the The entry temperature of each transfer station; For the The lower limit of the temperature constraint for the transfer station; It is the set of temperature restriction nodes for transfer station entry.

[0012] Constraints on the outlet temperature of the heating furnace in the oil transfer station: ; Constraints on water injection volume for each well: ; Power Constraints: Assume that the maximum power demand of the variable load equipment is , then: Where: is the average power consumption of each variable load device; is the margin factor; Storage constraints: Where: and For the A variable load water pump is located at the The lower and upper limits of water volume are processed during each dispatch; For the The amount of water processed by the water blending pump in the oil transfer station of the thin oil gathering and transportation system within a scheduling period; For the The water mixing furnace water storage unit is in the The water inflow of the previous link within a scheduling period; and For the The first The lower and upper limits of the storage capacity of the water storage unit of the water mixing furnace; For the The water mixing furnace water storage unit is in the The water storage capacity of the water storage unit within a scheduling period; Energy Constraints: In the formula, For the The electrical equipment is Power consumption during a scheduling period; , and Respectively The electrical equipment is The renewable energy power consumed during a scheduling period and the amount of electricity consumed during off-peak, flat and peak hours.

[0013] Furthermore, in the power constraint, the margin factor The value range is .

[0014] The beneficial effects of the present invention are:

[0015] The present invention effectively solves the problem of power abandonment after renewable energy is connected to the grid by giving priority to absorbing the abandoned power of renewable energy, improves the utilization rate of renewable energy, and reduces energy waste. Combined with the optimization of power grid electricity prices, the present invention can reasonably arrange the operating time and load of power-consuming equipment and reduce the electricity cost of the thin oil gathering and transportation system of the oil transfer station. By real-time monitoring of power grid electricity prices and the amount of abandoned power of renewable energy, the system can automatically adjust the power consumption strategy and give priority to the use of low-priced electricity, thereby realizing the saving of power costs. In addition, the present invention also establishes a storage scheduling model for the water-blending furnace, and obtains the amount of water blended and the operating time of the power-consuming equipment in each scheduling time period through optimization and solution, thereby improving the operating efficiency and stability of the system. Through this scheduling method, the energy utilization of the system is more efficient, and the energy loss caused by frequent start and stop of equipment or load fluctuations is also reduced. The implementation of the present invention also helps to promote the intelligent and automated development of oilfield gathering and transportation systems. Through digital and intelligent technical means, the system can monitor and analyze various data in real time, automatically adjust the operation strategy, reduce manual intervention and errors, and improve the reliability and safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a schematic diagram of the process of the present invention; Figure 3 It is a schematic diagram of an exemplary double-tube hot water gathering and transportation pipeline network. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described implementation is only a part of the embodiments of the present invention, not all implementations. Based on the implementation of the present invention, all other implementations obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] according to Figure 1-Figure 3 As shown, the thin oil gathering and transportation system of the oil transfer station includes oil wells, metering stations, and transfer stations. Since the crude oil physical properties of the oil well produced liquid are poor and belong to the "three highs" crude oil, the oil wells need to be mixed with water to ensure its fluidity in the crude oil pipeline. The main process is: hot water is heated by the heating furnace of the transfer station, and is output to the metering station by the external output pump of the transfer station. It is distributed and transported to each oil well through the metering station valve group to mix water with the produced liquid. The oil-water mixture after mixing with water is transported to the metering station, and then transported to the transfer station. A thin oil gathering and transportation system of an oil transfer station includes multiple metering stations, and each metering station includes multiple oil wells.

[0019] Collect the historical data of each process load in the thin oil gathering and transportation system, clean the data, and count the variable load processes and equipment involved; The power load of the transfer station of the thin oil gathering and transportation system is divided into variable load and non-variable load, where non-variable load refers to the power equipment that runs continuously throughout the day or in a fixed time period, and variable load refers to the power equipment that can be interrupted during the power period; Statistics of variable load processes and equipment, including heating furnaces for heating hot water, water mixing pumps for hot water export, and export pumps for crude oil export; Collect historical data, including: historical grid electricity price data, historical load data, historical electricity consumption data, and power data of electrical equipment.

[0020] Calculate and organize historical data to calculate the average operating time and average operating power of variable load processes and equipment; Real-time monitoring of the amount of power curtailment in renewable energy generation connected to the grid to obtain time series and total amount data of power curtailment; The variable load in the oil transfer station’s thin oil gathering and transportation system will give priority to absorbing the abandoned electricity from renewable energy sources. If it is insufficient, valley power will be given priority based on the peak and valley electricity prices of the power grid. According to the power abandonment of renewable energy and the peak and valley electricity prices of the power grid, a storage scheduling model for the thin oil gathering and water blending furnace of the oil transfer station is established based on the minimum operating cost target; Establish the objective function: Assume the number of daily dispatches is The first time, starting from 0:00 on the same day, The duration of a scheduling time period is The first scheduling time period of each day starts at 0:00 and the last scheduling time period ends at 24:00. The total scheduling time of the day is 24 hours, that is: =24; The constructed objective function for minimizing the intraday operating cost is as follows: in: Where: is the daily operating cost; For the The total electricity cost of the water mixing pump, external transfer pump and electric heating furnace during a scheduling period; For the The total startup cost of the water mixing pump, external transfer pump and electric heating furnace within a scheduling period; For the Total cost including natural gas heating furnace in a scheduling period; is the price of electricity from the oil field’s own renewable energy; , and They are the off-peak, mid-peak and peak time-of-use electricity prices stipulated by the local enterprise; is the oil field’s own renewable energy electricity consumed in the tth scheduling period; , and Respectively The power consumption of the oil transfer station's thin oil gathering and transportation system during the off-peak, flat and peak periods within a scheduling period.

[0021] The power consumption of electrical equipment is calculated as follows: The electric heating furnace converts the excess electricity generated by renewable energy into thermal energy. The conversion expression is as follows: Where: It is the heat energy converted by electric boiler equipment; The conversion efficiency of the electric boiler equipment; The amount of electricity input into the electric boiler equipment.

[0022] Calculation of electrical energy consumption of the pump: The effective energy obtained by the pump from the liquid transported per unit time is called the pump output power, also often called effective power. To express: Where: is the pump output power, ; is the oil density, ; is the volume flow rate of oil flowing through the pump, ; The head provided by the pump for the corresponding output, .

[0023] According to the ratio data of effective power and actual power consumption under different flow rates of the pump, fitting regression is performed, and the fitting formula is as follows: Where: , , is the fitting parameter; is the power consumption of the motor, .

[0024] 3) The power consumption of the oil transfer station pump is calculated as follows: Where: is the pump inlet and outlet pressure difference, ; is the total water content, , time, ; is the power consumption of the motor, .

[0025] Create decision variables: The decision variables are the variable operation time of the equipment in each scheduling time period and the water content in the time period; Where: For the The variable load pump is The running time in the scheduling time period is equal to 0, which means the device is not running; For the The previous link corresponding to the variable load device is in the The amount of water added during a scheduling period; is the number of variable load devices.

[0026] Further, in step S53, a constraint equation is established: Time constraints: Where: It is calculated based on historical operation data. Average daily operating time of variable load equipment; , , and Respectively The variable load device is The time when renewable energy is consumed during each dispatch period and the operation time during off-peak, flat and peak periods; , and They are the time of trough, flat and peak periods respectively; Flow, hydraulic and thermal balance constraints of the gathering and transportation system: Where: is the starting pressure; is the end point pressure; Pipeline flow rate; is a dimensionless quantity; Where: is the starting temperature; is the end point pressure; is the pipeline mass flow rate; The ground temperature at the depth of the buried pipeline; is a dimensionless quantity; Oil return pressure constraints at each wellhead: Where: For the i The return oil pressure of the well; For the i The upper limit of the oil return pressure of the well; It is the node set of wellhead back pressure limit.

[0027] 4) Constraints on water injection pressure at wellheads of each well: Where: For the The water injection pressure of the well; For the The lower limit of the water injection pressure of the well; It is the node set that limits the water injection pressure at the wellhead.

[0028] Oil transfer station return oil temperature constraints: Where: For the The entry temperature of each transfer station; For the The lower limit of the temperature constraint for the transfer station; It is the set of temperature restriction nodes for transfer station entry.

[0029] Constraints on the outlet temperature of the heating furnace in the oil transfer station:

[0030] Constraints on water injection volume for each well:

[0031] Power Constraints: Assume that the maximum power demand of the variable load equipment is , then: Where: is the average power consumption of each variable load device; is the margin coefficient, The value range is ; Storage constraints: Where: and For the A variable load water pump is located at the The lower and upper limits of water volume are processed during each dispatch; For the The amount of water processed by the water blending pump in the oil transfer station of the thin oil gathering and transportation system within a scheduling period; For the The water mixing furnace water storage unit is in the The water inflow of the previous link within a scheduling period; and For the The first The lower and upper limits of the storage capacity of the water storage unit of the water mixing furnace; For the The water mixing furnace water storage unit is in the The water storage capacity of the water storage unit within a scheduling period; Energy Constraints: In the formula, For the The electrical equipment is Power consumption during a scheduling period; , and Respectively The electrical equipment is The renewable energy power consumed during a scheduling period and the amount of electricity consumed during off-peak, flat and peak hours.

[0032] The scheduling model of the oil transfer station's thin oil gathering and transportation system is optimized and solved to obtain the water content and the operating time of each electrical equipment in each scheduling time period; The load or start and stop time of each electrical equipment is adjusted based on the solution of the model.

[0033] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for dispatching power of a transfer station gathering and transportation system based on renewable energy consumption, characterized in that: include: Collect historical data of process load during the operation of the oil transfer station gathering and transportation system; Counting the variable load processes and equipment involved in the load history data; Calculate the average operating time and average operating power of the variable load processes and equipment; Real-time monitoring of the amount of abandoned power generated by renewable energy connected to the grid, and obtaining the time series and total amount data of abandoned power; The variable load shall give priority to absorbing the abandoned electricity of renewable energy, and if it is insufficient, it shall be supplemented by valley electricity based on the peak and valley electricity price of the power grid; According to the abandoned amount of renewable energy power generation and the peak and valley electricity prices of the power grid, a scheduling model is established based on the goal of minimizing operating costs; Optimizing and solving the scheduling model to obtain the water mixing amount and the operating time of each electrical equipment in each scheduling time period; The load or start / stop time of each electrical device is adjusted based on the water mixing amount and the operating time of each electrical device within the scheduling time period.

2. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 1 is characterized by: The process load historical data includes historical grid electricity price data, historical load data, historical electricity consumption data, and power data of electrical equipment.

3. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 1 is characterized by: The immutable load refers to electrical equipment that runs continuously throughout the day or within a fixed time period, and the variable load refers to electrical equipment that can be interrupted during the power usage time period.

4. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 3 is characterized in that: The variable load includes an electric heating furnace, a water mixing pump and an external transfer pump.

5. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 1 is characterized in that: The establishment of the scheduling model includes: Establish the objective function; The objective function is established based on the minimum operating cost within a day; Establish decision variables; The decision variables are the operating time of the variable load equipment in each scheduling time period and the water mixing amount in each scheduling time period; Establish constraints; The constraints include scheduling time, flow, pressure, temperature, water content, power and storage.

6. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 5 is characterized in that: The objective function is: Where: Where: F is the daily operating cost; For the The total electricity cost of the water mixing pump, external transfer pump and electric heating furnace during a scheduling period; For the The total startup cost of the water mixing pump, external transfer pump and heating furnace within a scheduling period; For the Total cost including natural gas heating furnace in a scheduling period; is the price of electricity from the oil field’s own renewable energy; For the valley electricity price, is the flat electricity price, For peak electricity prices; For the The oil field’s own renewable energy electricity consumed during the dispatching period; For the The power consumption of the oil transfer station's thin oil gathering and transportation system during the off-peak period within a scheduling period is is the power consumption of the oil transfer station’s thin oil gathering and transportation system during the flat period during the t-th scheduling period, For the The power consumption of the oil transfer station's thin oil gathering and transportation system during peak hours within a scheduling period.

7. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 5 is characterized by: The operating time of the variable load equipment in each scheduling time period in the decision variable is defined as , The water content in each scheduling time period in the decision variable is defined as , Where: For the The variable load pump is The running time in the scheduling time period is equal to 0, which means the device is not running; For the The previous link corresponding to the variable load device is in the The amount of water added during a scheduling period; is the number of variable load devices.

8. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 5 is characterized by: Assume the number of daily dispatches is The first time, starting from 0:00 on the same day, The duration of a scheduling time period is The first scheduling time period of each day starts at 0:00 and the last scheduling time period ends at 24:

00. The total scheduling time of the day is 24 hours, that is: =24 Create constraint equations: Time constraints: Where: It is calculated based on historical operation data. Average daily operating time of variable load equipment; , , and Respectively The variable load device is The time when renewable energy is consumed during each dispatch period and the operation time during off-peak, flat and peak periods; , and They are the time of trough, flat and peak periods respectively; Flow, hydraulic and thermal balance constraints: Where: is the starting pressure; is the end point pressure; Pipeline flow rate; is a dimensionless quantity; Where: is the starting temperature; is the end point pressure; is the pipeline mass flow rate; The ground temperature at the depth of the buried pipeline; is a dimensionless quantity; The oil return pressure constraints at the wellhead of each well: Where: is the oil return pressure of the i-th well; is the upper limit of the oil return pressure constraint of the i-th well; is the wellhead back pressure limit node set; Constraints on water injection pressure at wellhead of each well: Where: For the The water injection pressure of the well; For the The lower limit of the water injection pressure of the well; It is the node set of wellhead water injection pressure limit; Oil transfer station return oil temperature constraints: Where: For the The entry temperature of each transfer station; For the The lower limit of the temperature constraint for the transfer station; It is the node set for the temperature restriction of the transfer station; Constraints on the outlet temperature of the heating furnace in the oil transfer station: ; Constraints on water injection volume for each well: ; Power Constraint: Assume that the maximum power demand of the variable load equipment is , then: Where: is the average power consumption of each variable load device; is the margin factor; Storage constraints: Where: and For the A variable load water pump is located at the The lower and upper limits of water volume are processed during each dispatch; For the The amount of water processed by the water blending pump in the oil transfer station of the thin oil gathering and transportation system within a scheduling period; For the The water mixing furnace water storage unit is in the The water inflow of the previous link within a scheduling period; and For the The first The lower and upper limits of the storage capacity of the water storage unit of the water mixing furnace; For the The water mixing furnace water storage unit is in the The water storage capacity of the water storage unit within a scheduling period; Energy Constraints: In the formula, For the The electrical equipment is Power consumption during a scheduling period; , and Respectively The electrical equipment is The renewable energy power consumed during a scheduling period and the amount of electricity consumed during off-peak, flat and peak hours.

9. The method for power dispatching of a transfer station gathering and transportation system based on renewable energy consumption according to claim 8, characterized in that: In the power constraint, the margin factor The value range is .

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