A capacity matching and regulation method suitable for an oilfield distributed light storage micro-grid

Abstract

The application discloses a capacity matching and regulation method suitable for an oilfield distributed light-storage microgrid, takes regional load consumption as the core, and obtains optimal matching through a capacity matching method: refining the granularity of historical load data, combining real-time meteorological data, simulating the difference between photovoltaic output and load, calculating the consumption, transfer and abandoned light power, considering the project yield of photovoltaic aging estimation, and determining the optimal capacity matching of distributed photovoltaic and distributed electrochemical energy storage. The regional microgrid regulation method determines the regulation system scale according to the optimal capacity matching, and constructs a regulation system containing photovoltaic, energy storage, load and control system modules. When the photovoltaic output is greater than the total amount of energy storage charging and load, or the energy storage discharging is greater than the total amount of load, the microgrid control system module adjusts the output of the photovoltaic or energy storage module according to the reverse power information in real time, realizes stable operation of the system, improves the clean energy consumption efficiency, reduces the light abandonment rate, and meets the low-carbon and efficient energy utilization demand of the oilfield station.

Description

Technical Field

[0001] This invention belongs to the field of integrated energy regulation technology, specifically a capacity matching and regulation method applicable to distributed photovoltaic-storage microgrids in oil fields. Background Technology

[0002] Small and medium-sized oilfield stations, serving as hubs for oil and gas gathering, transportation, and processing, as well as regional power supply centers, are both high-energy-consuming units (primarily powered by natural gas, resulting in high carbon emissions) and key areas for pollutant discharge (such as production wastewater). Utilizing idle land and rooftop resources around these stations to deploy distributed photovoltaic power generation systems, coupled with energy storage devices, to form a photovoltaic-storage microgrid, is a crucial pathway to improve energy efficiency and reduce carbon emissions. This model combines traditional and new energy sources, enhances end-user load absorption capacity, and promotes the green and low-carbon transformation of oil and gas production.

[0003] However, in practical applications, how to rationally match the capacity of distributed photovoltaic and electrochemical energy storage to maximize the utilization of clean energy, and how to achieve optimal operation of the microgrid through control systems, remain challenges. Currently, much research focuses on optimizing single technical components, such as improving the efficiency of photovoltaic systems or optimizing the performance of battery energy storage systems. However, further research and exploration are needed to determine how the entire microgrid system in small and medium-sized oilfield stations can achieve optimal performance under the combined influence of multiple factors. Currently, in the field of power system energy configuration technology, the full life-cycle economic evaluation and capacity optimization configuration methods for user-side photovoltaic-energy storage integrated systems have received attention. For example, Chinese patent application CN119543220A proposes an evaluation model covering the full life-cycle economics of photovoltaic power generation systems and energy storage systems. Through multi-objective evaluation functions and the walrus optimization algorithm, it optimizes the capacity configuration of user-side photovoltaic-energy storage integrated systems. However, its design is user-side-oriented, based solely on full life-cycle economic evaluation and configuration optimization, lacking integration with dynamic adjustment of the photovoltaic / energy storage ratio. It cannot accurately suppress curtailment or optimize peak-valley arbitrage, making it difficult to adapt to the fluctuating demands of oilfield stations.

[0004] Therefore, developing a capacity matching and control method that can comprehensively consider multiple factors is of great significance for promoting the application of distributed photovoltaic-storage microgrid technology in special environments such as oil fields. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a capacity matching and control method for distributed photovoltaic-storage microgrids in oilfields. Centered on regional load absorption, it rationally calculates the optimal capacity ratio of distributed photovoltaic and decentralized electrochemical energy storage, and combines it with a microgrid reverse power dynamic control strategy to achieve the optimal ratio of photovoltaic and energy storage and stable system operation. This effectively improves the efficiency of clean energy absorption, reduces the curtailment rate of photovoltaic power, and meets the low-carbon and high-efficiency energy needs of oilfield stations.

[0006] The technical solution adopted by this invention to solve its technical problem is as follows:

[0007] A capacity matching and control method suitable for distributed photovoltaic-storage microgrids in oil fields.

[0008] The capacity matching method includes the following steps: acquiring real-time meteorological data and historical load data of the region as prediction factors, refining the granularity of historical load data, setting the energy storage scale and charging and discharging power, simulating the difference between the real-time output of distributed photovoltaic and the real-time power of regional load, and calculating the real-time absorbable power, stored and transferred power, and annual curtailed photovoltaic power by combining the stored power; considering photovoltaic aging during the economic evaluation period, calculating the project rate of return, and determining the optimal capacity ratio of distributed photovoltaic and decentralized electrochemical energy storage according to different curtailment rate requirements;

[0009] The regional microgrid control method includes the following steps: constructing a control system comprising distributed photovoltaic modules, industrial and commercial distributed electrochemical energy storage modules, regional load modules, and a microgrid control system module, wherein the scale of the control system is determined by the optimal capacity ratio; when the daytime photovoltaic output exceeds the total energy storage charging and load, the microgrid control system module adjusts the output of the distributed photovoltaic modules through communication signals based on the reverse power information of the regional load module access point; when the energy storage discharge exceeds the total load, the microgrid control system module adjusts the output of the industrial and commercial distributed electrochemical energy storage modules through communication signals based on the reverse power information of the regional load module access point.

[0010] Furthermore, the project's rate of return calculation considers the following benefits: during the day, photovoltaic power absorbs part of the load and is transferred to the nighttime peak through energy storage; off-peak electricity at night is stored through energy storage and released during normal and peak hours during the day; when photovoltaic output is weak, off-peak and normal electricity at noon is stored through energy storage and released during the nighttime peak.

[0011] Furthermore, the communication connection method of the distributed photovoltaic module, the industrial and commercial distributed electrochemical energy storage module, the regional load module, and the microgrid control system module is as follows: the distributed photovoltaic module includes a photovoltaic inverter, a grid-connected dedicated circuit breaker, and a measurement and control terminal. The photovoltaic inverter and the grid-connected dedicated circuit breaker are connected to the measurement and control terminal via RS485, and the measurement and control terminal is connected to the microgrid control system module via 4G. The industrial and commercial distributed electrochemical energy storage module and the regional load module are connected to the microgrid control system module via 4G. The regional load module is connected to the distributed photovoltaic module and the industrial and commercial distributed electrochemical energy storage module via RS485.

[0012] Furthermore, the distributed photovoltaic modules and industrial / commercial distributed electrochemical energy storage modules are installed at the photovoltaic site, and the microgrid control system module is integrated with the regional substation.

[0013] Furthermore, the microgrid control system module integrates an anti-reverse current module to suppress the grid connection of surplus distributed photovoltaic power.

[0014] Furthermore, the microgrid control system module is connected to the microgrid energy management system. Based on the energy data from the load side and the energy supply side, the microgrid energy management system coordinates and controls the microgrid control system module to achieve power balance and source-load interaction within the grid.

[0015] Furthermore, the control system also includes a flexible control module and a meteorological and power forecasting module. The regional load module and the flexible control module are connected through an anti-backflow module. The flexible control module is connected to the distributed photovoltaic module via RS485, and the flexible control module is connected to the meteorological and power forecasting module via 4G.

[0016] Furthermore, the meteorological power forecasting module acquires historical and local real-time meteorological information for the network area, providing algorithmic data for the flexible control module to determine the power output command.

[0017] Furthermore, the distributed photovoltaic module adopts double-sided double-glass monocrystalline silicon N-type photovoltaic modules, and the generated electricity is directly connected to the power supply system of the oilfield substation.

[0018] Furthermore, the industrial and commercial distributed electrochemical energy storage module adopts lithium iron phosphate batteries and is equipped with a liquid-cooled energy storage prefabricated cabin structure to store excess power generated by photovoltaic power generation.

[0019] The beneficial effects of this invention include:

[0020] Based on refined historical load data and dynamic correction using real-time meteorological data, the optimal capacity allocation can precisely match the peak-valley fluctuations of oilfield station loads and the intermittent nature of photovoltaic output. This avoids excessive photovoltaic capacity leading to increased curtailment rates or insufficient energy storage capacity causing power supply gaps, achieving a dynamic balance between "source-storage-load." By comprehensively calculating project profitability and considering photovoltaic aging and degradation, the optimal allocation can balance the initial investment costs and long-term operating benefits of distributed photovoltaics and energy storage, avoiding economic losses caused by equipment redundancy or insufficient capacity. The scale of the control system determined based on the optimal capacity ensures that the power and capacity of each device in the control system are highly adapted to the actual energy supply and demand. When photovoltaic output exceeds the load and energy storage charging demand, the equipment in the system was designed with potential surpluses in mind. The various modules in the system are matched in capacity and performance, possessing corresponding adjustment capabilities. They can quickly adjust output under the instructions of the microgrid control system module, reducing the frequency and magnitude of reverse power regulation, lowering system control complexity, and enhancing grid operation stability and power supply reliability. Based on real-time monitoring of reverse power at the access point, the output of the photovoltaic inverter or the charging and discharging power of the energy storage can be dynamically adjusted through the microgrid control system module. This effectively suppresses surplus power from being fed into the grid, addresses the core need of "self-generation and self-consumption" at oilfield stations, and improves the power balance capability and operational safety of the microgrid.

[0021] Integrating anti-backflow modules, flexible control modules, and meteorological and power forecasting modules, and combined with a 4G / RS485 communication architecture, this system enables real-time data interaction and strategic linkage between photovoltaic, energy storage, and load. It adapts to the load fluctuation characteristics of oilfields, supports high-frequency and high-precision energy dispatch, and promotes the local consumption of a high proportion of clean energy. Employing prefabricated lithium iron phosphate liquid-cooled energy storage modules and bifacial double-glass photovoltaic modules, it meets the safe energy storage and efficient power generation needs of oilfields in high-temperature, high-pressure, and flammable environments. By utilizing peak-valley electricity price differences and multi-period energy storage strategies, it explores the economic value of energy storage, reduces station electricity costs, and contributes to low-carbon transformation. The microgrid energy management system and control system modules work together to achieve global power balance and source-load interaction based on load-side and supply-side data, constructing an integrated intelligent control system of "photovoltaic, energy storage, and load." This provides replicable green and low-carbon energy solutions for small and medium-sized oilfield stations, promoting the transformation and upgrading of the energy supply structure. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the capacity matching method between distributed photovoltaic and decentralized electrochemical energy storage.

[0023] Figure 2 This is a topology diagram of a regional microgrid control system.

[0024] Figure 3 This is a control flowchart for a regional microgrid regulation and control system. Detailed Implementation

[0025] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0027] Example 1: Based on the key issues of how to utilize the resources and idle land and rooftops of the surrounding oilfields and stations to combine traditional energy and new energy photovoltaic power generation, improve the end-load absorption capacity, realize the comprehensive utilization of high-proportion distributed photovoltaic power generation clean energy, reduce wastewater pollution and carbon dioxide emissions, and configure safe, efficient, and long-term energy storage devices to ensure the continuous and reliable production of oil and gas facilities, this invention provides a capacity matching and control method for distributed photovoltaic-storage microgrids in oilfields. By taking the regional load absorption as the center, it rationally calculates the optimal capacity ratio of distributed photovoltaic and decentralized electrochemical energy storage, maximizes the utilization of self-generated and self-consumed clean energy, and achieves the safety and stability of the regional power grid through the microgrid optimal control algorithm, creating a low-cost, high-proportion clean energy green and low-carbon oil and gas station.

[0028] 1) A capacity matching method for distributed photovoltaic and decentralized electrochemical energy storage, including the following steps:

[0029] Real-time regional meteorological data and historical 8760-hour load data are acquired as prediction factors, and the granularity of historical load data is refined (load data every 15 minutes). The energy storage scale and charging and discharging power are set, and the difference between the real-time output of distributed photovoltaic and the real-time power of regional load is simulated. Combined with the stored energy, the real-time absorbable energy, stored and transferred energy, and annual curtailed photovoltaic energy are calculated. Considering photovoltaic aging during the economic evaluation period, the project rate of return is calculated, and the optimal capacity ratio of distributed photovoltaic and decentralized electrochemical energy storage is determined according to different curtailment rate requirements.

[0030] The project's rate of return calculation considers the following three parts of revenue: ① Part of the daily load is consumed by photovoltaic power, and part of the energy is stored and transferred for use during peak nighttime periods for load consumption;

[0031] ②Store electricity during off-peak hours at night and release it during normal and peak hours during the day for load absorption;

[0032] ③ When photovoltaic output is weak, the midday off-peak electricity and the average electricity during the day are stored as energy, and released during the nighttime peak hours for load absorption.

[0033] 2) Regional microgrid control methods, including the following steps:

[0034] ① The control system consists of distributed photovoltaic modules, industrial and commercial distributed electrochemical energy storage modules, regional load modules, microgrid control system modules, flexible control modules, and meteorological and power forecasting modules; the distributed photovoltaic modules include photovoltaic inverters, grid-connected circuit breakers, and measurement and control terminals;

[0035] ② Installation / Communication Connection Method: Distributed photovoltaic modules and industrial / commercial distributed electrochemical energy storage modules are installed at the photovoltaic site. The microgrid control system module is integrated with the regional substation and connected to the microgrid energy management system. Based on energy data from the load side and energy supply side, the microgrid energy management system coordinates and controls the microgrid control system module to achieve power balance and source-load interaction within the grid, ensuring the power supply security of the power station and realizing the high-proportion consumption of clean energy. The microgrid control system module integrates an anti-reverse current module to suppress the grid connection of surplus distributed photovoltaic power.

[0036] The photovoltaic inverter and grid-connected circuit breaker are connected to the measurement and control terminal via RS485, and the measurement and control terminal is connected to the microgrid control system module via 4G.

[0037] Industrial and commercial distributed electrochemical energy storage modules and regional load modules are respectively adopted as 4G access microgrid control system modules;

[0038] The regional load modules are connected to the industrial and commercial distributed electrochemical energy storage modules via RS485.

[0039] The regional load module and the flexible control module are connected through an anti-reverse current module. The flexible control module is connected to the distributed photovoltaic module via RS485, and the flexible control module is connected to the meteorological and power forecasting module via 4G.

[0040] The meteorological power forecasting module acquires historical and local real-time meteorological information for the network area, providing algorithm data for the flexible control module to determine the power output command.

[0041] The distributed photovoltaic module uses bifacial double-glass monocrystalline silicon N-type photovoltaic modules with an installed capacity of 2MWp, and the generated electricity is directly connected to the power supply system of the oilfield substation.

[0042] The industrial and commercial distributed electrochemical energy storage module uses lithium iron phosphate batteries and is equipped with a liquid-cooled energy storage prefabricated cabin structure. It has a rated capacity of 1MW / 2MWh and a total of 1 set. It is used to store excess power generated by photovoltaic power generation and generate revenue by utilizing the peak and off-peak price difference of electricity.

[0043] ③ Control method: When the daytime photovoltaic output exceeds the total energy storage charging and load, the microgrid control system module receives the reverse power information from the regional load module access point and adjusts the output of the distributed photovoltaic inverter through 4G communication;

[0044] When the energy storage discharge exceeds the total load, the microgrid control system module receives the reverse power information from the regional load module access point and adjusts the output of the distributed energy storage through 4G communication.

[0045] The technology of this invention is suitable for promotion in small and medium-sized stations in oil fields. It can become one of the important technologies for energy conservation and carbon reduction, improving electrification rate and new energy utilization rate, forming a new energy consumption pattern of energy consumption in oil and gas production and efficient utilization of photovoltaics, and continuously promoting the transformation and upgrading of energy supply structure.

[0046] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A capacity matching and control method suitable for distributed photovoltaic-storage microgrids in oil fields, characterized in that, The capacity matching method includes the following steps: acquiring real-time meteorological data and historical load data of the region as prediction factors, refining the granularity of historical load data, setting the energy storage scale and charging and discharging power, simulating the difference between the real-time output of distributed photovoltaic and the real-time power of regional load, and calculating the real-time absorbable power, stored and transferred power, and annual curtailed photovoltaic power by combining the stored power; considering photovoltaic aging during the economic evaluation period, calculating the project rate of return, and determining the optimal capacity ratio of distributed photovoltaic and decentralized electrochemical energy storage according to different curtailment rate requirements; The regional microgrid control method includes the following steps: constructing a control system comprising distributed photovoltaic modules, industrial and commercial distributed electrochemical energy storage modules, regional load modules, and a microgrid control system module, wherein the scale of the control system is determined by the optimal capacity ratio; when the daytime photovoltaic output exceeds the total energy storage charging and load, the microgrid control system module adjusts the output of the distributed photovoltaic modules through communication signals based on the reverse power information of the regional load module access point; when the energy storage discharge exceeds the total load, the microgrid control system module adjusts the output of the industrial and commercial distributed electrochemical energy storage modules through communication signals based on the reverse power information of the regional load module access point.

2. The capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 1, characterized in that, The project's rate of return calculation considers the following benefits: during the day, photovoltaic power absorbs part of the load and is transferred to the nighttime peak through energy storage; during off-peak hours at night, electricity is stored through energy storage and released during normal and peak hours during the day; when photovoltaic output is weak, off-peak and normal electricity at noon is stored through energy storage and released during the nighttime peak.

3. The capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 1, characterized in that, The communication connection method of the distributed photovoltaic module, the industrial and commercial distributed electrochemical energy storage module, the regional load module, and the microgrid control system module is as follows: The distributed photovoltaic module includes a photovoltaic inverter, a grid-connected dedicated circuit breaker, and a measurement and control terminal. The photovoltaic inverter and the grid-connected dedicated circuit breaker are connected to the measurement and control terminal via RS485, and the measurement and control terminal is connected to the microgrid control system module via 4G. The industrial and commercial distributed electrochemical energy storage module and the regional load module are connected to the microgrid control system module via 4G. The regional load module is connected to the distributed photovoltaic module and the industrial and commercial distributed electrochemical energy storage module via RS485.

4. The capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 3, characterized in that, The distributed photovoltaic modules and industrial / commercial decentralized electrochemical energy storage modules are installed at the photovoltaic site, and the microgrid control system module is integrated with the regional substation.

5. The capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 4, characterized in that, The microgrid control system module integrates an anti-reverse current module to suppress the grid connection of surplus distributed photovoltaic power.

6. The capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 5, characterized in that, The microgrid control system module is connected to the microgrid energy management system. Based on the energy data from the load side and the energy supply side, the microgrid energy management system coordinates and controls the microgrid control system module to achieve power balance and source-load interaction within the grid.

7. A capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 5, characterized in that, The control system also includes a flexible control module and a meteorological and power forecasting module. The regional load module and the flexible control module are connected through an anti-reverse current module. The flexible control module is connected to the distributed photovoltaic module via RS485, and the flexible control module is connected to the meteorological and power forecasting module via 4G.

8. The capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to claim 7, characterized in that, The meteorological power forecasting module acquires historical and local real-time meteorological information for the network area, providing algorithm data for the flexible control module to determine the power output command.

9. A capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to any one of claims 1-8, characterized in that, The distributed photovoltaic module uses double-sided double-glass monocrystalline silicon N-type photovoltaic modules, and the generated electricity is directly connected to the power supply system of the oilfield substation.

10. A capacity matching and control method for distributed photovoltaic-storage microgrids in oil fields according to any one of claims 1-8, characterized in that, The industrial and commercial distributed electrochemical energy storage module uses lithium iron phosphate batteries and is equipped with a liquid-cooled energy storage prefabricated cabin structure to store excess power generated by photovoltaic power generation.

Images