Consumption reduction method and device for wind-solar energy storage complementary thermal power plant system

Abstract

The invention provides a consumption reduction method and device for a wind and light energy storage complementary thermal power plant system, and the method comprises the steps: obtaining the wind speed, illumination intensity, energy storage charge state, auxiliary power load curve, power grid dynamic electricity price signal and thermal power generating unit auxiliary machine operation parameters of the thermal power plant system, and taking the parameters as a data set; based on a weather prediction model, a load prediction model and an electricity price fluctuation model, generating a wind power generation output prediction value, a photovoltaic power generation output prediction value, a load demand prediction value and an electricity price interval prediction value in a future preset time period according to the data set, and taking the prediction values as prediction results; by taking minimization of plant power cost and maximization of renewable energy consumption as targets, generating an energy storage charging and discharging instruction, a wind power generation and photovoltaic power generation grid-connected priority sequence and a thermal power auxiliary engine regulation and control strategy according to the data set and the prediction result to serve as control instructions; control instructions are executed through control equipment in the wind-solar energy storage complementary thermal power plant system, and energy conservation and consumption reduction are achieved by integrating wind energy, solar energy and an energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of power consumption reduction in thermal power plants, and particularly to a method and device for reducing power consumption in a wind-solar energy storage complementary thermal power plant system. Background Art

[0002] During the operation of a thermal power plant, the auxiliary power consumption rate is one of the important indicators for measuring the economic operation of the unit. The higher the auxiliary power consumption rate, the greater the percentage of the power consumption of the power plant itself in the total power generation, the reduction of the actual electricity that can be sold, and the increase in the power generation cost. For example, when the auxiliary power consumption rate rises from 5% to 7%, the revenue from selling electricity will decrease by about 2% under the same power generation. In addition, the increase in the auxiliary power consumption will also lead to an increase in the fuel consumption, and thus an increase in carbon dioxide emissions, further squeezing the profit margin under the carbon trading market or carbon tax policy.

[0003] Currently, the following main measures are taken by thermal power plants to reduce the auxiliary power consumption rate: one is equipment upgrade and transformation, such as using high-efficiency motors, frequency converters, etc.; the other is waste heat recovery and comprehensive utilization, and part of the auxiliary power demand of the power plant is supplemented through a distributed energy system. However, these measures are difficult to fully utilize the power consumption reduction benefits brought by new energy power generation. Summary of the Invention

[0004] The present invention provides a method and device for reducing power consumption in a wind-solar energy storage complementary thermal power plant system, so as to solve the technical problem that the existing thermal power plants cannot fully utilize the power consumption reduction benefits brought by new energy power generation.

[0005] On the one hand, the present invention provides a method for reducing power consumption in a wind-solar energy storage complementary thermal power plant system. The thermal power plant system includes a thermal power plant, a wind power generation set, a photovoltaic power generation system, and an energy storage system. The wind power generation set is installed in the gaps of the boiler steel frames and on the top of the coal conveying trestle of the thermal power plant. The photovoltaic power generation system is located on the building roof of the thermal power plant. The energy storage system is connected to the wind power generation set and the photovoltaic power generation system and is connected to the thermal power plant. The method for reducing power consumption includes: Obtaining the wind speed, light intensity, energy storage state of charge, auxiliary power load curve of the thermal power plant, grid dynamic electricity price signal, and operating parameters of the auxiliary equipment of the thermal power generation unit in the thermal power plant system as a data set; Based on a pre-trained meteorological prediction model, load prediction model, and electricity price fluctuation model, generating a predicted value of wind power generation output, a predicted value of photovoltaic power generation output, a predicted value of load demand, and a predicted electricity price interval for a preset future period according to the data set as prediction results; Taking minimizing the auxiliary power cost and maximizing the consumption of renewable energy as the goal, generating energy storage charge and discharge instructions, a grid connection priority sequence of wind power generation and photovoltaic power generation, and a control strategy for the auxiliary equipment of the thermal power generation according to the data set and the prediction results as control instructions; Executing the control instructions through a control device in the wind-solar energy storage complementary thermal power plant system.

[0006] A method for reducing power consumption of a wind-solar energy storage complementary thermal power plant system provided by the present invention aims to minimize the cost of auxiliary power consumption in the plant and maximize the consumption of renewable energy. According to the data set and the prediction result, energy storage charge and discharge instructions, grid connection priority sequences of wind power generation and photovoltaic power generation, and control strategies for thermal power plant auxiliary equipment are generated, including: Define the optimization objective function: construct an economic objective function including dynamic weight adjustment; among them, the economic objective function dynamically allocates weights based on real-time electricity price signals, auxiliary service revenues, and carbon trading costs; Set constraints: the state of charge of the energy storage system is within a preset state of charge range; the bus voltage and frequency are within the preset voltage range and preset frequency range of the power grid; the operating parameters of wind turbines, photovoltaic systems, and thermal power plant auxiliary equipment comply with the technical parameter standards of the equipment; Optimize the dispatching strategy: when the total output of wind power generation and photovoltaic power generation exceeds the auxiliary power load demand of the plant and the electricity price is lower than a preset threshold, instruct the energy storage system to charge; when the auxiliary power load demand of the plant exceeds the output of renewable energy and the electricity price is higher than the preset threshold, instruct the energy storage system to discharge; Grid connection priority sequences of wind power generation and photovoltaic power generation: dynamically adjust the grid connection priorities of wind power generation and photovoltaic power generation according to the predicted output values of wind power generation and photovoltaic power generation and in combination with real-time electricity price signals; Control strategy for thermal power plant auxiliary equipment: dynamically adjust the operating state of the auxiliary equipment of the thermal power unit according to the auxiliary power load demand of the plant and the output of wind power generation and photovoltaic power generation.

[0007] A method for reducing power consumption of a wind-solar energy storage complementary thermal power plant system provided by the present invention constructs an economic objective function including dynamic weight adjustment, including: ; among them, and respectively represent weight coefficients, and the sum of the two is equal to 1, t represents the time period, is the grid electricity price in time period t, is the electricity purchase volume of the thermal power plant from the grid, is the auxiliary service revenue in time period t, is the thermal power carbon emission cost, is the wind power curtailment volume in time period t, is the photovoltaic power curtailment volume in time period t.

[0008] A method for reducing power consumption of a wind-solar energy storage complementary thermal power plant system provided by the present invention further includes: When it is detected that the grid frequency deviation exceeds the first preset threshold, improve the frequency modulation response priority of the energy storage system, insert a second-level power compensation instruction into the control instruction, and at the same time reduce the operating power of the preset thermal power plant auxiliary equipment; When the total output of wind power generation and photovoltaic power generation exceeds the plant electricity load demand, dynamically adjust the charging priority of the energy storage system based on the real-time electricity price gradient, and preferentially store the excess generated electricity during the period with the lowest electricity price.

[0009] According to a power consumption reduction method for a wind-solar energy storage complementary thermal power plant system provided by the present invention, a variety of energy storage subsystems are integrated in the energy storage system; The energy storage subsystems include but are not limited to a lithium-ion battery energy storage system, a flow battery energy storage system, a supercapacitor energy storage system, and a flywheel energy storage system; According to the predicted value of wind power generation output, the predicted value of photovoltaic power generation output, and the predicted value of load demand, dynamically allocate the charging and discharging power of different energy storage subsystems.

[0010] According to a power consumption reduction method for a wind-solar energy storage complementary thermal power plant system provided by the present invention, the step of dynamically allocating the charging and discharging power of different energy storage subsystems according to the predicted value of wind power generation output, the predicted value of photovoltaic power generation output, and the predicted value of load demand includes: Determine the total output result of adding the predicted value of wind power generation output and the predicted value of photovoltaic power generation output, and determine the difference between the total output result and the plant electricity load demand; When the difference is positive, allocate the excess electric energy to different energy storage subsystems for charging according to a preset priority order, where the priority order is determined according to the energy density and the current state of charge of the energy storage subsystem; When the difference is negative, dynamically adjust the discharge power of each energy storage subsystem according to the urgency of the load demand and the power response speed of the energy storage subsystem to meet the plant electricity load demand.

[0011] According to a power consumption reduction method for a wind-solar energy storage complementary thermal power plant system provided by the present invention, the priority order is determined according to the energy density and the current state of charge of the energy storage subsystem, and it includes: Sort the energy storage subsystems according to the energy density from high to low, and preferentially allocate the excess electric energy to the energy storage subsystem with a high energy density for charging; When the energy densities are the same, preferentially allocate the electric energy to the energy storage subsystem with a low current state of charge for charging.

[0012] According to a power consumption reduction method for a wind-solar energy storage complementary thermal power plant system provided by the present invention, when the difference is negative, dynamically adjust the discharge power of each energy storage subsystem according to the urgency of the load demand and the power response speed of the energy storage subsystem, and it includes: According to the urgency of the plant electricity load demand, divide the load demand into high urgency, medium urgency, and low urgency; For the load demand with high urgency, preferentially call the supercapacitor energy storage system or the flywheel energy storage system for discharging; For medium-urgency load demands, preferentially call the flow battery energy storage system for discharging; For low-urgency load demands, preferentially call the lithium-ion battery energy storage system for discharging.

[0013] A method for reducing power consumption of a wind-solar-storage complementary thermal power plant system according to the present invention further includes: When it is detected that the grid voltage deviation exceeds the second preset threshold, dynamically adjust the charging and discharging power of the energy storage subsystem according to the power regulation ability of the energy storage subsystem to maintain the stability of the grid voltage; Adjust the charging and discharging mode of the energy storage subsystem according to the direction and magnitude of the grid voltage deviation.

[0014] On the other hand, the present invention also provides a power consumption reduction device for a wind-solar-storage complementary thermal power plant system. The thermal power plant system includes a thermal power plant, a wind power generation set, a photovoltaic power generation system, and an energy storage system. The wind power generation set is installed in the gaps of the boiler steel frames and on the top of the coal conveying trestle of the thermal power plant. The photovoltaic power generation system is located on the building roof of the thermal power plant. The energy storage system is connected to the wind power generation set and the photovoltaic power generation system and is connected to the thermal power plant. The power consumption reduction device includes: An acquisition module for acquiring the wind speed, light intensity, energy storage state of charge, auxiliary power load curve of the thermal power plant, grid dynamic electricity price signal, and operating parameters of the auxiliary equipment of the thermal power generation unit of the thermal power plant system as a data set; A prediction module for generating predicted values of wind power generation output, predicted values of photovoltaic power generation output, predicted values of load demand, and predicted electricity price intervals for a future preset period as prediction results based on a pre-trained weather prediction model, load prediction model, and electricity price fluctuation model according to the data set; An instruction generation module for generating energy storage charging and discharging instructions, grid connection priority sequences for wind power generation and photovoltaic power generation, and auxiliary equipment control strategies for thermal power generation as control instructions with the goal of minimizing the auxiliary power cost of the thermal power plant and maximizing the consumption of renewable energy according to the data set and the prediction results; A control module for executing the control instructions through the control equipment in the wind-solar-storage complementary thermal power plant system.

[0015] The power consumption reduction method and device for a wind-solar-storage complementary thermal power plant system provided by the present invention are based on a pre-trained weather prediction model, a load prediction model, and an electricity price fluctuation model. According to a data set, predicted values of wind power generation output, photovoltaic power generation output, load demand, and electricity price range for a preset future period are generated as prediction results. With the goal of minimizing the auxiliary power cost of the power plant and maximizing the consumption of renewable energy, an energy storage charge-discharge instruction, a grid connection priority sequence for wind power generation and photovoltaic power generation, and a regulation strategy for thermal power plant auxiliary equipment are generated as control instructions according to the data set and the prediction results. By executing the control instructions through the control equipment in the wind-solar-storage complementary thermal power plant system, the operation strategy of the thermal power plant is optimized by integrating wind energy, solar energy, and an energy storage system, achieving energy conservation and consumption reduction as well as the efficient utilization of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a flowchart of the power consumption reduction method for a wind-solar-storage complementary thermal power plant system provided by an embodiment of the present invention; Figure 2 It is a structural diagram of the power consumption reduction device for a wind-solar-storage complementary thermal power plant system provided by an embodiment of the present invention; Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention fall within the protection scope of the present invention.

[0019] Figure 1It is a schematic flowchart of the power consumption reduction method for the wind-solar-storage complementary thermal power plant system provided by the embodiments of the present invention. The thermal power plant system may include a thermal power plant, a wind turbine generator set, a photovoltaic power generation system, and an energy storage system. Among them, the wind turbine generator set can be installed in the gaps of the boiler steel frame of the thermal power plant, or on the top of the coal conveyor trestle, or in other open areas of the thermal power plant campus. Generally, the wind turbine generator set may include a vertical-axis wind turbine, a horizontal-axis wind turbine, and a medium-sized wind turbine. The photovoltaic power generation system can be located on the roof of the buildings in the thermal power plant. The energy storage system is connected to the wind turbine generator set and the photovoltaic power generation system and is connected to the thermal power plant, and generally can be incorporated into the low-voltage auxiliary power bus of the thermal power plant.

[0020] Specifically, the vertical-axis wind turbine is installed in the gaps of the boiler steel frame. The vertical-axis wind turbine adopts a horizontal rotation and triangular double-pivot design, which can effectively reduce the wind pressure and can even withstand strong winds of 45 meters per second, such as typhoons and other bad weather. The blade rotation plane of the vertical-axis wind turbine is parallel to the ground, and there is no need to add a yaw device to adjust the wind energy receiving direction, which simplifies the overall structure, reduces the vibration during the operation of the fan, enhances the reliability, and is more convenient for maintenance. The rotation speed of the vertical-axis wind turbine is relatively low, with low noise, and does not require lubricating oil, which has less impact on the ecological environment. When the wind direction changes, there is no need to face the wind, reducing the gyroscopic force when the wind wheel faces the wind, and simplifying the structural design. Due to the limited space and complex structure in the gaps of the boiler steel frame, the compact design and non-wind-facing characteristics of the vertical-axis wind turbine make it an ideal choice. Utilizing the height of the boiler and the wind force, the vertical-axis wind turbine can efficiently capture wind energy without disturbing the normal operation of the boiler.

[0021] The horizontal-axis wind turbine is installed on the top of the coal conveyor trestle. The horizontal-axis wind turbine usually has higher efficiency, especially under stable wind direction conditions. The top of the coal conveyor trestle usually has higher space and better wind speed conditions, which are suitable for installing horizontal-axis wind turbines. A fan array can be formed to achieve large-scale power generation and improve the overall power generation efficiency. By installing multiple horizontal-axis wind turbines on the top of the coal conveyor trestle, the space can be fully utilized.

[0022] The medium-sized wind turbine is installed in the open area of the plant area. The medium-sized wind turbine usually has a relatively large single-unit capacity (such as 1 to 5 MW), can provide more power, is suitable for installation in open areas, and can operate independently or in combination with other wind turbine units. Through reasonable layout, the medium-sized wind turbine can form an integrated power supply system with other small wind turbines and photovoltaic power generation systems, further reducing the auxiliary power rate of the thermal power plant.

[0023] See Figure 1 , the power consumption reduction method for the wind-solar-storage complementary thermal power plant system includes the following steps 101 to step 104.

[0024] Step 101: Obtain the wind speed, light intensity, energy storage state of charge, plant auxiliary load curve, grid dynamic electricity price signal, and operating parameters of auxiliary equipment of thermal power units in the thermal power plant system as a data set.

[0025] In this step, the wind speed and light intensity usually come from meteorological monitoring equipment installed in the thermal power plant. The wind speed data is used to evaluate the power generation potential of wind turbines, and the light intensity data is used to evaluate the power generation potential of photovoltaic power generation systems. The energy storage state of charge is a key parameter that measures the current remaining power of the energy storage device, which determines the amount of electric energy that the energy storage system can provide or absorb. The plant auxiliary load curve is the load demand curve of the internal electrical equipment in the thermal power plant, reflecting the dynamic changes in the power consumption of the thermal power plant itself. The grid electricity price usually changes dynamically according to factors such as supply and demand relationships and time periods. Obtaining the dynamic electricity price signal can help optimize power generation and consumption strategies, such as preferentially charging during low electricity price periods and preferentially discharging during high electricity price periods. The operating parameters of auxiliary equipment (such as fans, water pumps, etc.) of thermal power units reflect the operating state of the thermal power plant, and the parameters may include the power, speed, temperature, etc. of the equipment.

[0026] Step 102: Based on pre-trained meteorological prediction models, load prediction models, and electricity price fluctuation models, generate predicted values of wind power generation output, photovoltaic power generation output, load demand, and electricity price range for a preset future period according to the data set as prediction results.

[0027] In this step, the meteorological prediction model is a prediction system that combines historical meteorological data and real-time monitoring data. It is usually composed of a numerical weather prediction (NWP) model and a machine learning model (such as a convolutional neural network CNN for spatial feature extraction and a long short-term memory network LSTM for time series prediction). By simulating the atmospheric physical process and learning the spatio-temporal characteristics of meteorological data, it can predict the wind speed and light intensity in the future period, and combine the performance parameters of wind turbines and photovoltaic power generation systems respectively to obtain the predicted values of wind power generation output and photovoltaic power generation output.

[0028] The load prediction model is a prediction system based on historical load data, production plans, and seasonal and weather factors. It is usually composed of a time series analysis model (such as a seasonal autoregressive integrated moving average model SARIMA) and a machine learning model (such as random forest, neural network). By analyzing the periodicity and trend of historical loads and combining the influence of production plans and external factors, it predicts the future load demand of the internal electrical equipment in the thermal power plant to obtain the predicted value of load demand.

[0029] The electricity price fluctuation model is a prediction system that analyzes historical electricity price data and the relationship between market supply and demand. It is usually composed of a time series model (such as the Generalized Autoregressive Conditional Heteroskedasticity model GARCH) and a deep learning model (such as the Long Short-Term Memory network LSTM). By capturing the time series characteristics and long-term dependence relationships of electricity prices, it predicts the change range of future grid electricity prices, thereby obtaining the electricity price interval prediction value.

[0030] Step 103: With the goal of minimizing the plant electricity cost and maximizing the consumption of renewable energy, generate energy storage charge and discharge instructions, the grid connection priority sequences of wind power generation and photovoltaic power generation, and the thermal power auxiliary equipment regulation strategy based on the dataset and the prediction results, as control instructions.

[0031] Step 103 can specifically include: Define the optimization objective function: Construct an economic objective function with dynamic weight adjustment. The economic objective function dynamically allocates weights based on real-time electricity price signals, auxiliary service revenues, and carbon trading costs; Set the constraint conditions: The state of charge of the energy storage system is within the preset state of charge range (for example, the SOC is between 20% and 80%); Grid parameters such as bus voltage and frequency must be within the preset voltage range and preset frequency range of the grid; The operating parameters of wind turbines, photovoltaic systems, and thermal power auxiliary equipment must meet the technical parameter standards of the equipment. For example, the output power of the wind turbine should be within its rated power range, the rotational speed of the wind turbine should be maintained within the allowable range of design, and the adjustment range of the blade angle is within the allowable range. The output voltage and current of the photovoltaic system should meet the input range requirements of the inverter, and the conversion efficiency of the inverter should meet the design standards. The power and rotational speed of the thermal power auxiliary equipment should operate within their rated ranges, and the current and voltage of the auxiliary equipment should meet the current range and voltage range of the grid, etc.; Optimize the dispatching strategy: When the total output of wind power generation and photovoltaic power generation exceeds the plant electricity load demand and the electricity price is lower than the preset threshold, instruct the energy storage system to charge and store the excess electric energy in the energy storage system, preferably charging during the period with the lowest electricity price; When the plant electricity load demand exceeds the output of renewable energy and the electricity price is higher than the preset threshold, instruct the energy storage system to discharge and reduce the use of thermal power; Grid connection priority sequences of wind power generation and photovoltaic power generation: Dynamically adjust the grid connection priorities of wind power generation and photovoltaic power generation according to the predicted wind power generation output prediction value and photovoltaic power generation output prediction value, combined with real-time electricity price signals. Specifically, make the grid connection priority of the one with lower generation cost between wind power generation and photovoltaic power generation higher; Thermal power auxiliary control strategy: Dynamically adjust the operating status of thermal power unit auxiliaries according to the demand of auxiliary power load, the output of wind power generation and photovoltaic power generation. Specifically, when the power generation of renewable energy (wind power generation and photovoltaic power generation) is sufficient, reduce the operating power of thermal power unit auxiliaries; when the power generation of renewable energy is insufficient, appropriately increase the operating power of thermal power unit auxiliaries to ensure the stability and economy of auxiliary power supply.

[0032] Step 104: Execute the control instruction through the control equipment in the wind-solar energy storage complementary thermal power plant system.

[0033] In this step, the energy storage system control equipment may include a power conversion system (PCS) and a battery management system (BMS), etc. The wind power generation control equipment may include a pitch system and a frequency converter of the wind turbine, etc. The photovoltaic power generation control equipment may include a photovoltaic inverter. The thermal power auxiliary control equipment may include a frequency converter and a switching device of the thermal power auxiliary, etc.

[0034] Specifically, for example, the power conversion system of the energy storage can adjust the charging and discharging power of the energy storage system according to the charging and discharging instructions, such as charging during the low electricity price period and discharging during the high electricity price period. The pitch system of the wind turbine can adjust the blade angle according to the grid connection priority instruction to optimize the wind energy capture efficiency; the frequency converter of the wind turbine adjusts the output power to ensure that the output power of the wind turbine meets the instruction requirements. The photovoltaic inverter adjusts the output power according to the grid connection priority instruction to ensure that the output power of the photovoltaic power generation system meets the instruction requirements. The frequency converter of the thermal power auxiliary reduces the operating power of the thermal power auxiliary when the power generation of renewable energy is sufficient.

[0035] In this embodiment, based on the pre-trained meteorological prediction model, load prediction model and electricity price fluctuation model, generate the predicted values of wind power generation output, photovoltaic power generation output, load demand prediction value and electricity price interval prediction value for a future preset period according to the data set as the prediction results; with the goal of minimizing the auxiliary power cost and maximizing the consumption of renewable energy, generate the energy storage charging and discharging instructions, the grid connection priority sequence of wind power generation and photovoltaic power generation and the thermal power auxiliary control strategy according to the data set and the prediction results as the control instructions; execute the control instructions through the control equipment in the wind-solar energy storage complementary thermal power plant system, realizing the optimization of the operation strategy of the thermal power plant by integrating wind energy, solar energy and the energy storage system, and completing the energy conservation and consumption reduction as well as the efficient utilization of renewable energy.

[0036] In an embodiment of this specification, construct an economic objective function including dynamic weight adjustment, including the following formula (1): (1); in the above formula (1), and respectively represent weight coefficients, and the sum of the two is equal to 1, t represents the time period, is the grid electricity price for time period t, is the electricity purchase volume of the thermal power plant from the grid, is the ancillary service revenue for time period t, is the thermal power carbon emission cost, is the wind power curtailment volume for time period t, is the photovoltaic power curtailment volume for time period t.

[0037] In this embodiment, the ancillary service revenue refers to the economic compensation that the thermal power plant can obtain by providing ancillary services such as frequency regulation and reserve. The calculation of the revenue is usually based on the frequency regulation capacity, reserve capacity, service price, and time. For example, the frequency regulation revenue = frequency regulation capacity × frequency regulation service price × frequency regulation service time. The reserve revenue = reserve capacity × reserve service price × reserve service time. The thermal power carbon emission cost refers to the economic cost faced by the thermal power plant due to carbon emissions, which is usually related to the carbon trading market. The calculation of the cost is based on the carbon emission volume and carbon price. For example, the carbon emission cost = carbon emission volume × carbon price.

[0038] In this embodiment, by constructing an economic objective function with dynamic weight adjustment, it is possible to dynamically allocate weights according to real-time electricity price signals, ancillary service revenues, and carbon trading costs, thereby more accurately reflecting the economic demands of the thermal power plant under different operating conditions. This dynamic adjustment mechanism enables the system to flexibly adjust the operating strategy under the influence of electricity price fluctuations, changes in the ancillary service market, and carbon trading policies to achieve the lowest plant electricity cost and the highest economic benefits.

[0039] In an embodiment of this specification, the power consumption reduction method of the wind-solar-storage complementary thermal power plant system further includes a dynamic priority adaptive adjustment strategy: When it is detected that the grid frequency deviation exceeds the first preset threshold, the frequency regulation response priority of the energy storage system is forcibly increased, and a second-level power compensation instruction is inserted into the control instruction, while reducing the operating power of the preset thermal power auxiliary equipment; When the total output of wind power generation and photovoltaic power generation exceeds the plant electricity load demand, the charging priority of the energy storage system is dynamically adjusted based on the real-time electricity price gradient, and the excess generated electricity is preferentially stored during the time period with the lowest electricity price.

[0040] In this embodiment, the preset thermal power auxiliary equipment is generally non-critical thermal power auxiliary equipment, such as standby fans and standby water pumps. By introducing the dynamic priority adaptive adjustment strategy, the stability of the power grid is significantly enhanced, the utilization rate of renewable energy is improved, and cost savings are facilitated.

[0041] In an embodiment of this specification, multiple energy storage subsystems are integrated into the energy storage system; The energy storage subsystems include, but are not limited to, lithium-ion battery energy storage systems, flow battery energy storage systems, supercapacitor energy storage systems, and flywheel energy storage systems to achieve power regulation and energy storage on different time scales; According to the predicted wind power generation output, the predicted photovoltaic power generation output, and the predicted load demand, the charge and discharge power of different energy storage subsystems is dynamically allocated to optimize the performance of the energy storage system.

[0042] In this embodiment, by integrating multiple energy storage subsystems (such as lithium-ion battery energy storage systems, flow battery energy storage systems, supercapacitor energy storage systems, and flywheel energy storage systems), power regulation and energy storage on different time scales can be achieved. This diversified energy storage configuration enables the system to dynamically allocate the charge and discharge power of different energy storage subsystems according to the predicted wind power generation output, the predicted photovoltaic power generation output, and the predicted load demand, thereby optimizing the overall performance of the energy storage system, improving the flexibility and adaptability of the system, better coping with the intermittency and volatility of renewable energy power generation, further enhancing the energy conservation and consumption reduction effect of thermal power plants, and ensuring the stable operation of the power grid.

[0043] In an embodiment of this specification, dynamically allocating the charge and discharge power of different energy storage subsystems according to the predicted wind power generation output, the predicted photovoltaic power generation output, and the predicted load demand includes: Determine the total output result of adding the predicted wind power generation output and the predicted photovoltaic power generation output, and determine the difference between the total output result and the plant electricity load demand; When the difference is positive, the excess electric energy is allocated to different energy storage subsystems for charging according to a preset priority order, where the priority order is determined according to the energy density and the current state of charge of the energy storage subsystem; When the difference is negative, the discharge power of each energy storage subsystem is dynamically adjusted according to the urgency of the load demand and the power response speed of the energy storage subsystem to meet the plant electricity load demand.

[0044] In this embodiment, when there is a difference between the total output result of adding the predicted wind power generation output and the predicted photovoltaic power generation output and the plant electricity load demand, through a clear priority order and comprehensive consideration factors, the charge and discharge process of the energy storage subsystem can be more accurately controlled. When the difference is positive, charging is carried out according to the priority determined by the energy density and the current state of charge of the energy storage subsystem, which can make full use of the excess electric energy and improve the energy utilization rate of the energy storage system; when the difference is negative, the discharge power is dynamically adjusted according to the urgency of the load demand and the power response speed of the energy storage subsystem, which can quickly and effectively meet the plant electricity load demand, ensure the stable operation of the thermal power plant, and further enhance the reliability and economy of the system.

[0045] In an embodiment of this specification, the priority order is determined according to the energy density and the current state of charge of the energy storage subsystem, including: Sort the energy storage subsystems according to their energy density from high to low, and preferentially distribute the excess electric energy to the energy storage subsystems with high energy density for charging; When the energy densities are the same, preferentially distribute the electric energy to the energy storage subsystem with a low current state of charge for charging.

[0046] In this embodiment, the priority sorting rule during the charging of the energy storage subsystem is clarified, that is, preferentially distribute the excess electric energy to the energy storage subsystem with high energy density for charging, and then consider the energy storage subsystem with a relatively low current state of charge when the energy densities are the same. This sorting method can give full play to the characteristics of each energy storage subsystem, make the energy storage more efficient and reasonable, further optimize the charging strategy of the energy storage system, and improve the overall performance and service life of the energy storage system.

[0047] In an embodiment of this specification, when the difference is negative, dynamically adjust the discharge power of each energy storage subsystem according to the urgency of the load demand and the power response speed of the energy storage subsystem, including: According to the urgency of the auxiliary power load demand, divide the load demand into high urgency, medium urgency, and low urgency; For the load demand with high urgency, preferentially call the supercapacitor energy storage system or the flywheel energy storage system for discharging; For the load demand with medium urgency, preferentially call the flow battery energy storage system for discharging; For the load demand with low urgency, preferentially call the lithium-ion battery energy storage system for discharging.

[0048] In this embodiment, the power response time of the supercapacitor energy storage system is extremely fast (in seconds), and the energy density is relatively low. The power response time of the flywheel energy storage system is relatively fast (in seconds), and the energy density is moderate. The power response time of the flow battery energy storage system is relatively fast (in minutes), the energy density is moderate, and the state of charge is relatively high. The power response time of the lithium-ion battery energy storage system is relatively slow (in minutes), and the energy density is relatively high. When the auxiliary power load demand suddenly increases significantly and rapid power replenishment is required within a short time, it can be regarded as a load demand with high urgency. When the load demand increases, but it does not need to respond as quickly as in the case of high urgency and there is a certain buffer time, it can be regarded as a load demand with medium urgency. When the load demand increases, but the requirement for the response speed is not high and there can be a longer buffer time, it can be regarded as a load demand with low urgency.

[0049] In this embodiment, for different situations during the discharge of the energy storage subsystem, a detailed dynamic adjustment strategy is formulated according to the urgency of the auxiliary power load demand and the power response speed of the energy storage subsystem. For load demands of different urgencies, the most suitable energy storage subsystem is called to discharge respectively, which can quickly and accurately respond to load changes, ensure the stability and reliability of the auxiliary power supply, and this refined discharge control strategy further improves the flexibility and adaptability of the energy storage system, better meets the power consumption requirements of thermal power plants under different operating conditions, and also helps to improve the utilization rate of renewable energy and reduce the auxiliary power cost of thermal power plants.

[0050] In an embodiment of this specification, the power consumption reduction method of the wind-solar-storage complementary thermal power plant system further includes: When it is detected that the grid voltage deviation exceeds the second preset threshold, dynamically adjust the charge-discharge power of the energy storage subsystem according to the power regulation ability of the energy storage subsystem to maintain the stability of the grid voltage; Adjust the charge-discharge mode of the energy storage subsystem according to the direction and magnitude of the grid voltage deviation.

[0051] In this embodiment, when it is detected that the grid voltage deviation exceeds the second preset threshold, the charge-discharge power of the energy storage subsystem can be dynamically adjusted according to the power regulation ability of the energy storage subsystem to maintain the stability of the grid voltage, and the charge-discharge mode of the energy storage subsystem is adjusted according to the direction and magnitude of the grid voltage deviation, which enables the energy storage system to not only play a role in energy conservation and consumption reduction within the thermal power plant, but also enhance the interaction and synergy between the thermal power plant and the power grid.

[0052] Specifically, when it is detected that the grid voltage deviation exceeds the second preset threshold, dynamically adjust the charge-discharge power of the energy storage subsystem according to the power regulation ability of the energy storage subsystem to maintain the stability of the grid voltage, including: Evaluate the grid voltage deviation situation: Monitor the grid voltage in real time, calculate the deviation value from the rated voltage, and determine the direction (increase or decrease) and magnitude of the deviation.

[0053] Determine the regulation ability of the energy storage subsystem: Analyze parameters such as the current state of charge (SOC), power regulation range, and response speed of each energy storage subsystem (such as lithium-ion battery energy storage system, flow battery energy storage system, supercapacitor energy storage system, and flywheel energy storage system) to determine the charge-discharge power range and regulation ability they can provide.

[0054] Formulate a charge-discharge power adjustment strategy: If the grid voltage is lower than the rated voltage and the deviation exceeds the second preset threshold, according to the regulation capabilities of each energy storage subsystem, increase the charging power of the energy storage system or reduce the discharging power to boost the grid voltage. Prioritize calling the energy storage subsystem with a higher energy density and a lower state of charge for charging, and at the same time consider the power response speed to ensure a rapid response to grid voltage changes.

[0055] If the grid voltage is higher than the rated voltage and the deviation exceeds the second preset threshold, according to the regulation capabilities of each energy storage subsystem, increase the discharging power of the energy storage system or reduce the charging power to lower the grid voltage. Prioritize calling the energy storage subsystem with a fast power response speed for discharging, such as a supercapacitor energy storage system or a flywheel energy storage system, to quickly release electrical energy and stabilize the grid voltage.

[0056] Adjust the charging and discharging modes of the energy storage subsystem according to the direction and magnitude of the grid voltage deviation, including: Judgment of the voltage deviation direction: If the grid voltage deviation is negative, that is, the grid voltage is lower than the rated voltage, indicating that there is a voltage shortage in the grid. At this time, the energy storage subsystem should preferably adopt the charging mode to absorb the excess electrical energy, increase the reactive power support of the grid, and boost the grid voltage.

[0057] If the grid voltage deviation is positive, that is, the grid voltage is higher than the rated voltage, indicating that there is a voltage overshoot in the grid. At this time, the energy storage subsystem should preferably adopt the discharging mode to release electrical energy, reduce the reactive power of the grid, and lower the grid voltage.

[0058] Hierarchical response to the magnitude of the voltage deviation: When the grid voltage deviation is small (within a certain range of the second preset threshold), the energy storage subsystem can use a small charging and discharging power for fine-tuning to maintain the grid voltage within a stable range. For example, for a lithium-ion battery energy storage system, its charging or discharging current can be appropriately adjusted to achieve slow power regulation.

[0059] When the grid voltage deviation is large (exceeding a large range of the second preset threshold), the energy storage subsystem needs to use a large charging and discharging power for a rapid response to quickly stabilize the grid voltage. For example, for a supercapacitor energy storage system, its fast charging and discharging characteristics can be utilized to instantaneously release or absorb a large amount of electrical energy to quickly adjust the grid voltage.

[0060] When the grid voltage deviation reaches an extreme situation (far exceeding the second preset threshold), the energy storage subsystem should cooperate with other grid regulation devices (such as synchronous condensers, static var compensators, etc.) and perform high-power charging and discharging operations according to the pre-set emergency control strategy to quickly restore the grid voltage to the normal range.

[0061] Based on the same general inventive concept, the present invention also protects a power consumption reduction device for a wind-solar-storage complementary thermal power plant system, such asFigure 2 as shown Figure 2 Figure 2 is a schematic structural diagram of a power consumption reduction device for a wind-solar-storage complementary thermal power plant system provided by an embodiment of the present invention. The power consumption reduction device for the wind-solar-storage complementary thermal power plant system provided by the present invention will be described below. The power consumption reduction device for the wind-solar-storage complementary thermal power plant system described below can be correspondingly referred to the power consumption reduction method for the wind-solar-storage complementary thermal power plant system described above.

[0062] The power consumption reduction device for the wind-solar-storage complementary thermal power plant system includes an acquisition module 201, a prediction module 202, an instruction generation module 203, and a control module 204. [[ID=⑧]]

[0063] The acquisition module 201 is configured to acquire the wind speed, light intensity, energy storage state of charge, plant electricity load curve, grid dynamic electricity price signal, and auxiliary equipment operation parameters of the thermal power plant system as a data set; The prediction module 202 is configured to generate a predicted value of wind power generation output, a predicted value of photovoltaic power generation output, a predicted value of load demand, and a predicted electricity price range for a preset future period based on a pre-trained weather prediction model, load prediction model, and electricity price fluctuation model as prediction results; The instruction generation module 203 is configured to generate energy storage charge and discharge instructions, a grid connection priority sequence for wind power generation and photovoltaic power generation, and a thermal power auxiliary equipment regulation strategy as control instructions with the goal of minimizing plant electricity costs and maximizing the consumption of renewable energy according to the data set and the prediction results; The control module 204 is configured to execute the control instructions through a control device in the wind-solar-storage complementary thermal power plant system.

[0064] Figure 3 Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0065] As Figure 3 shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 can call logic instructions in the memory 330 to execute the power consumption reduction method for the wind-solar-storage complementary thermal power plant system.

[0066] In addition, when the logical instructions in the above-mentioned memory 330 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0067] On the other hand, the present invention also provides a computer program product, where the computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the power consumption reduction method of the wind-solar-storage complementary thermal power plant system provided by the above-mentioned various methods.

[0068] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the power consumption reduction method of the wind-solar-storage complementary thermal power plant system provided by the above-mentioned various methods.

[0069] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0070] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments.

[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A power consumption reduction method for a complementary wind-solar energy storage thermal power plant system, characterized in that, The thermal power plant system includes a thermal power plant, a wind power generation set, a photovoltaic power generation system, and an energy storage system. The wind power generation set is installed in the gaps of the boiler steel frames and on the top of the coal conveying trestle of the thermal power plant. The photovoltaic power generation system is located on the building roof of the thermal power plant. The energy storage system is connected to the wind power generation set and the photovoltaic power generation system and is connected to the thermal power plant. The power consumption reduction method includes: Obtain the wind speed, light intensity, state of charge of the energy storage, the curve of auxiliary power load of the thermal power plant, the dynamic electricity price signal of the power grid, and the operating parameters of the auxiliary equipment of the thermal power generation unit of the thermal power plant system as a data set; Based on a pre-trained weather prediction model, load prediction model, and electricity price fluctuation model, generate a predicted value of wind power generation output, a predicted value of photovoltaic power generation output, a predicted value of load demand, and a predicted electricity price range for a preset future period according to the data set as prediction results; With the goal of minimizing the auxiliary power cost of the thermal power plant and maximizing the consumption of renewable energy, generate energy storage charge and discharge instructions, the grid connection priority sequence of wind power generation and photovoltaic power generation, and the control strategy of the thermal power plant auxiliary equipment according to the data set and the prediction results as control instructions; Execute the control instructions through the control equipment in the complementary thermal power plant system of wind power, light, and energy storage.

2. The power consumption reduction method of the wind-solar-storage complementary thermal power plant system according to claim 1, characterized in that, The above-mentioned step of generating energy storage charge and discharge instructions, the grid connection priority sequence of wind power generation and photovoltaic power generation, and the control strategy of the thermal power plant auxiliary equipment with the goal of minimizing the auxiliary power cost of the thermal power plant and maximizing the consumption of renewable energy according to the data set and the prediction results includes: Define an optimization objective function: construct an economic objective function with dynamic weight adjustment; among them, the economic objective function dynamically allocates weights based on the real-time electricity price signal, auxiliary service revenue, and carbon trading cost; Set constraint conditions: the state of charge of the energy storage system is within the preset state of charge range; the bus voltage and frequency are within the preset voltage range and preset frequency range of the power grid; the operating parameters of the wind turbine, photovoltaic system, and thermal power plant auxiliary equipment meet the technical parameter standards of the equipment; Optimize the dispatching strategy: when the total output of wind power generation and photovoltaic power generation exceeds the auxiliary power load demand of the thermal power plant and the electricity price is lower than the preset threshold, instruct the energy storage system to charge; when the auxiliary power load demand of the thermal power plant exceeds the output of renewable energy and the electricity price is higher than the preset threshold, instruct the energy storage system to discharge; Grid connection priority sequence of wind power generation and photovoltaic power generation: dynamically adjust the grid connection priority of wind power generation and photovoltaic power generation according to the predicted wind power generation output prediction value and photovoltaic power generation output prediction value, combined with the real-time electricity price signal; Control strategy of thermal power plant auxiliary equipment: dynamically adjust the operating state of the auxiliary equipment of the thermal power generation unit according to the auxiliary power load demand of the thermal power plant and the output of wind power generation and photovoltaic power generation.

3. The power consumption reduction method of the wind-solar energy storage complementary thermal power plant system according to claim 2, characterized in that, Constructing an economic objective function with dynamic weight adjustment includes: ; wherein, and respectively represent weight coefficients, and the sum of the two is equal to 1, t represents a time period, is the grid electricity price for time period t, is the electricity purchase volume of the thermal power plant from the grid, is the ancillary service revenue for time period t, is the thermal power carbon emission cost, is the wind power curtailment volume for time period t, is the photovoltaic power curtailment volume for time period t.

4. The power consumption reduction method of the wind-solar-storage complementary thermal power plant system according to claim 2, characterized in that It also includes: When it is detected that the grid frequency deviation exceeds the first preset threshold, increase the frequency modulation response priority of the energy storage system, insert a second-level power compensation instruction in the control instruction, and at the same time reduce the operating power of the preset thermal power plant auxiliary equipment; When the total output of wind power generation and photovoltaic power generation exceeds the auxiliary power load demand of the thermal power plant, dynamically adjust the charging priority of the energy storage system based on the real-time electricity price gradient, and preferentially store the excess generated electricity during the period with the lowest electricity price.

5. The power consumption reduction method of the wind-solar energy storage complementary thermal power plant system according to claim 1, characterized in that, A variety of energy storage subsystems are integrated in the energy storage system; The energy storage subsystem includes, but is not limited to, a lithium-ion battery energy storage system, a flow battery energy storage system, a supercapacitor energy storage system, and a flywheel energy storage system; According to the predicted wind power output value, the predicted photovoltaic power output value, and the predicted load demand value, dynamically allocate the charging and discharging power of different energy storage subsystems.

6. The power consumption reduction method of the wind-solar-storage complementary thermal power plant system according to claim 5, characterized in that, The dynamically allocating the charging and discharging power of different energy storage subsystems according to the predicted wind power output value, the predicted photovoltaic power output value, and the predicted load demand value includes: Determine the total output result of adding the predicted wind power output value and the predicted photovoltaic power output value, and determine the difference between the total output result and the auxiliary power load demand of the power plant; When the difference is positive, allocate the excess electric energy to different energy storage subsystems for charging according to a preset priority order, where the priority order is determined according to the energy density and the current state of charge of the energy storage subsystem; When the difference is negative, dynamically adjust the discharging power of each energy storage subsystem according to the urgency of the load demand and the power response speed of the energy storage subsystem to meet the auxiliary power load demand of the power plant.

7. The power consumption reduction method of the wind-solar-storage complementary thermal power plant system according to claim 6, characterized in that, The priority order is determined according to the energy density and the current state of charge of the energy storage subsystem, and includes: Sort according to the energy density of the energy storage subsystem from high to low, and preferentially allocate the excess electric energy to the energy storage subsystem with high energy density for charging; When the energy densities are the same, preferentially allocate the electric energy to the energy storage subsystem with a low current state of charge for charging.

8. The power consumption reduction method of the wind-solar-storage complementary thermal power plant system according to claim 6, characterized in that, When the difference is negative, dynamically adjust the discharging power of each energy storage subsystem according to the urgency of the load demand and the power response speed of the energy storage subsystem, including: According to the urgency of the auxiliary power load demand of the power plant, divide the load demand into high urgency, medium urgency, and low urgency; For the load demand with high urgency, preferentially call the supercapacitor energy storage system or the flywheel energy storage system for discharging; For the load demand with medium urgency, preferentially call the flow battery energy storage system for discharging; For the load demand with low urgency, preferentially call the lithium-ion battery energy storage system for discharging.

9. The power consumption reduction method of the wind-solar-storage complementary thermal power plant system according to claim 6, characterized in that, It also includes: When it is detected that the grid voltage deviation exceeds the second preset threshold, dynamically adjust the charging and discharging power of the energy storage subsystem according to the power regulation ability of the energy storage subsystem to maintain the stability of the grid voltage; Adjust the charging and discharging mode of the energy storage subsystem according to the direction and magnitude of the grid voltage deviation.

10. A power consumption reduction device for a wind-solar energy storage complementary thermal power plant system, characterized in that, The thermal power plant system includes a thermal power plant, a wind turbine generator set, a photovoltaic power generation system, and an energy storage system, where the wind turbine generator set is installed in the gaps of the boiler steel frames and on the top of the coal conveyor trestle of the thermal power plant, the photovoltaic power generation system is located on the building roof of the thermal power plant, the energy storage system is connected to the wind turbine generator set and the photovoltaic power generation system and is connected to the thermal power plant. The energy consumption reduction device includes: An acquisition module for acquiring the wind speed, light intensity, energy storage state of charge, auxiliary power load curve of the thermal power plant system, grid dynamic electricity price signal, and operating parameters of the auxiliary equipment of the thermal power generation unit as a data set; A prediction module, configured to generate predicted values of wind power generation output, predicted values of photovoltaic power generation output, predicted load demand values, and predicted electricity price intervals for a preset future period based on a pre-trained meteorological prediction model, a load prediction model, and an electricity price fluctuation model according to a data set, as prediction results; An instruction generation module, configured to generate energy storage charge and discharge instructions, a grid connection priority sequence of wind power generation and photovoltaic power generation, and a thermal power auxiliary equipment control strategy according to the data set and the prediction results with the goal of minimizing the plant electricity cost and maximizing the consumption of renewable energy, as control instructions; A control module, configured to execute the control instructions through control devices in a wind-solar-storage complementary thermal power plant system.

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