Integrated control method, device and equipment for friendly new energy power station of wind-solar-thermal storage hybrid system

Abstract

This disclosure relates to the field of electrical engineering technology, and discloses an integrated control method, device, and equipment for a wind-solar-thermal-storage integrated system of a new energy power plant. The method involves predicting the next day's forecast information for the target new energy power plant based on equipment information, forecasted meteorological information, and historical market transaction information. The target new energy power plant is a new energy power plant built using retired coal-fired power resources, including thermal energy storage equipment, wind power generation equipment, and solar power generation equipment. The forecast information is sent to the target power grid, and a power generation plan curve is received from the target power grid. Based on the power generation plan curve, forecasted meteorological information, and real-time dispatch instructions from the target power grid, real-time control instructions for the next day are generated, and the equipment of the target new energy power plant is dispatched based on these real-time control instructions. By reusing the resources of retired coal-fired power units to construct a new energy power plant integrating wind, solar, and thermal energy storage, idle coal-fired power resources are effectively utilized, avoiding resource waste.

Description

Technical Field

[0001] This disclosure relates to the field of electrical engineering technology, specifically to an integrated control method, device, and equipment for a wind-solar-thermal-storage integrated system of a friendly new energy power plant. Background Technology

[0002] Against the backdrop of the deepening "dual-carbon" strategy, the installed capacity of new energy sources such as wind power and photovoltaics has continued to grow rapidly. However, the strong volatility and intermittency of their output have led to increasingly prominent problems in the absorption of new energy. Currently, new energy power plants generally adopt an independent dispatch mode for wind and solar power output and energy storage. That is, new energy and the attached energy storage receive grid dispatch instructions separately and participate in electricity market transactions independently, lacking an integrated and coordinated control mechanism. This mode makes it difficult to achieve efficient recovery and utilization of curtailed wind and solar power, resulting in weak peak power supply capacity and an inability to dynamically optimize dispatch strategies based on electricity spot market price signals, leading to large power generation deviations and high assessment risks. At the same time, a large number of coal-fired power units that have reached the end of their service life are being decommissioned at an accelerated pace. Their original sites, substations, transmission lines, and thermal systems, as well as other high-quality infrastructure, are facing idleness or abandonment, resulting in serious waste of decommissioned coal-fired power assets. Existing technologies have not yet effectively resolved the structural contradiction between the idle resources of decommissioned coal-fired power and the high volatility and low absorption of new energy. There is a lack of an integrated control scheme that deeply integrates decommissioned coal-fired power infrastructure with wind, solar, thermal, and energy storage systems, making it difficult to support the comprehensive requirements of new power systems for flexibility, reliability, and economy. Summary of the Invention

[0003] This disclosure addresses the problems existing in the prior art by providing an integrated control method, device, and equipment for a wind-solar-thermal-storage integrated system of new energy power plants.

[0004] To achieve the above objectives, the technical solution adopted in this disclosure is as follows: The first aspect of this disclosure discloses an integrated control method for a wind-solar-thermal-storage integrated system-friendly new energy power plant, applicable to new energy power plants. The method includes: predicting the forecast information for the next day of the target new energy power plant based on equipment information, forecast meteorological information, and historical market transaction information of each device of the target new energy power plant on the current day; wherein the forecast information includes a forecast electricity price curve, forecast power generation information, and forecast reverse charging information; the target new energy power plant is a new energy power plant built using retired coal-fired power resources, including thermal energy storage equipment, wind power generation equipment, and solar power generation equipment; sending the forecast information to the target power grid to which the target new energy power plant is connected, and receiving the forecast information sent by all new energy power plants connected to the target power grid to determine the power generation plan curve of the target new energy power plant for the next day; generating real-time control instructions for each time period of the next day based on the power generation plan curve, the forecast meteorological information, and the real-time dispatch instructions of the target power grid for each time period of the next day, so that the target new energy power plant supplies power to the target power grid and controls the operation of the thermal energy storage equipment based on the real-time control instructions.

[0005] In some embodiments of this disclosure, generating real-time control instructions for each time period of the next day based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each time period of the next day includes: determining the control mode of the target new energy power plant for the next day based on the predicted meteorological information and the power generation plan curve, wherein the control mode is used to control the target new energy power plant to operate with the basic objective of conforming to the predicted meteorological information and meeting the power generation demand corresponding to the power generation plan curve, and with the additional objectives of maximizing power utilization and minimizing power generation cost; and generating real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day.

[0006] In some embodiments of this disclosure, the control mode of the target new energy power station on the next day is determined based on the predicted meteorological information and the power generation plan curve, including: predicting the new energy power prediction curve of the target new energy power station based on the predicted meteorological information; if the predicted meteorological information indicates no sunlight all day, then the first sub-control mode of the next day is determined to be the no-sunlight weather power supply control mode; if the predicted meteorological information indicates sunlight, then the first sub-control mode of the next day is determined to be the sunlight weather power supply control mode; if there is an overload period in the power generation plan curve where the electricity demand is higher than the power generation capacity in the new energy power prediction curve, then the second sub-control mode of the overload period is determined to be the peak control mode, wherein the power generation capacity refers to the total power generation capacity of the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station; if there is a low-load period in the power generation plan curve where the electricity demand is lower than the power generation capacity in the new energy power prediction curve, then the second sub-control mode of the low-load period is determined to be the peak-shaving control mode; the control mode of the next day is composed of the first sub-control mode of the next day and the second sub-control modes corresponding to each period of the next day.

[0007] In some embodiments of this disclosure, the step of generating real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day includes: for each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak control mode, then generating real-time control instructions that enable the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station to generate electricity at maximum power during the time period, while enabling the thermal energy storage equipment to participate in power generation, so as to meet the electricity demand of the power generation plan curve during the time period.

[0008] In some embodiments of this disclosure, the step of generating real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day includes: for each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak-shaving control mode, then based on the power generation capacity of the new energy power prediction curve in the time period, the electricity demand of the power generation plan curve in the time period, and the storage capacity and maximum charging power of the thermal energy storage device, the first adjustable peak capacity of the target new energy power station in the time period is determined, and then a real-time control instruction is generated to store heat in the thermal energy storage device according to the first adjustable peak capacity in the time period, report the first adjustable peak capacity to the target power grid, and cause the target new energy power station to generate electricity to the target power grid according to the electricity demand of the power generation plan curve in the time period and the real-time control instructions of the target power grid.

[0009] In some embodiments of this disclosure, the historical market transaction information includes historical power generation curves and historical electricity price curves. On the current day, based on equipment information of each device in the target new energy power plant, forecast meteorological information, and historical market transaction information, the prediction information for the next day of the target new energy power plant includes: the target new energy power plant predicting, based on the historical power generation curve in the historical market transaction information, the peak periods where power generation demand is higher than the preset power generation demand and the off-peak periods where power generation demand is lower than the preset power generation demand on the next day; combining the peak periods, the off-peak periods, and the historical electricity price curve, predicting the predicted electricity price curve for the next day, wherein the predicted electricity price curve for the peak periods is higher than the predicted electricity price for the off-peak periods; and combining the peak periods, the off-peak periods, equipment information of each device in the target new energy power plant, and forecast meteorological information, predicting the predicted power generation information and predicted reverse charging information; wherein the predicted power generation information for the peak periods is greater than the power generation for the off-peak periods, and the predicted reverse charging information for the peak periods is less than the charging for the off-peak periods.

[0010] In some embodiments of this disclosure, the method further includes: real-time detection of the real-time heat storage capacity, real-time heat release capacity, real-time power generation, and real-time electricity demand of adjacent new energy power plants; if the real-time heat storage capacity is 0 and the real-time electricity demand is less than the real-time power generation, determining whether the target new energy power plant has heat storage capacity; if so, converting the first abandoned power of the adjacent new energy power plant into the first thermal energy of the target new energy power plant, and storing the first thermal energy in the thermal energy storage device of the target new energy power plant; if the real-time heat release capacity is 0 and the real-time electricity demand is greater than the real-time power generation, determining whether the target new energy power plant has second abandoned power; if so, converting the second abandoned power into second thermal energy and sending it to the thermal energy storage device of the adjacent new energy power plant.

[0011] A second aspect of this disclosure discloses an integrated control device for a wind-solar-thermal-storage integrated system of new energy power plants, applicable to new energy power plants. The device includes: a prediction unit, used to predict the forecast information of the target new energy power plant for the next day based on equipment information of each device in the target new energy power plant, predicted meteorological information, and historical market transaction information. The forecast information includes a predicted electricity price curve, predicted power generation information, and predicted reverse charging information. The target new energy power plant is a new energy power plant built using decommissioned coal-fired power resources, including thermal energy storage equipment, wind power generation equipment, and solar power generation equipment. A transmission unit is used to transmit the forecast information to the target power grid to which the target new energy power plant is connected, and to receive the forecast information transmitted by all new energy power plants connected to the target power grid to determine the power generation plan curve of the target new energy power plant for the next day. A generation unit is used to generate real-time control instructions for each time period of the next day based on the power generation plan curve, the predicted meteorological information, and real-time dispatch instructions from the target power grid for each time period of the next day, so that the target new energy power plant supplies power to the target power grid and controls the operation of the thermal energy storage equipment based on the real-time control instructions.

[0012] This disclosure also provides an electronic device, comprising: a memory for storing at least one instruction; and a processor for calling the instruction stored in the memory to execute the integrated control method for a wind-solar-thermal-storage integrated system of a new energy power plant according to the first aspect and any embodiment of the first aspect.

[0013] This disclosure also provides a computer-readable storage medium storing at least one executable instruction, which is loaded and executed by a processor to implement the integrated control method for a wind-solar-thermal-storage integrated system of a new energy power plant in the first aspect and any embodiment of the first aspect.

[0014] This disclosure also provides a computer program product, which includes computer program code. When the computer program code is run by a computer, it causes the computer to execute the integrated control method for a wind-solar-thermal-storage integrated system of a new energy power plant in the first aspect and any embodiment of the first aspect.

[0015] Compared with the prior art, this disclosure has the following beneficial effects: This solution utilizes the resources of decommissioned coal-fired power units to construct a new type of environmentally friendly renewable energy power plant integrating wind, solar, and thermal energy storage, effectively revitalizing idle coal-fired power resources and avoiding resource waste. Based on this, by integrating the physical characteristics of each device in the target renewable energy power plant, forecasted meteorological information, and historical market transaction data, it accurately predicts the next day's forecast electricity price curve, power generation capacity, and reverse charging (thermal storage) potential, and reports this forecast information to the target power grid. The target power grid then coordinates the resources of all renewable energy power plants across its network, tailoring a power generation plan curve to match the target renewable energy power plant's actual regulation capacity. Subsequently, based on this power generation plan curve, forecasted meteorological information, and real-time dispatch instructions issued by the target power grid for each time period, the target renewable energy power plant dynamically generates refined real-time control instructions, coordinating and optimizing wind and solar power output and thermal energy storage charging and discharging operations. This mechanism significantly improves the level of renewable energy absorption and substantially reduces wind and solar curtailment rates; simultaneously, by accurately tracking dispatch plans and market price signals, it effectively reduces the risk of power generation deviation assessments. Overall, this not only resolves the structural contradiction between the idleness of retired coal-fired power resources and the volatility and difficulty in absorbing new energy sources, but also enhances the responsiveness of the target new energy power plants to the diverse demands of the target power grid, such as peak loads and peak shaving, thus comprehensively improving the flexibility, reliability, and economy of the target new energy power plants. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating an integrated control method for a wind-solar-thermal-storage integrated power plant, according to an embodiment of this disclosure. Figure 2 This is a block diagram of an integrated control device for a wind-solar-thermal-storage integrated system of a new energy power plant, provided according to an embodiment of this disclosure. Detailed Implementation

[0017] The present disclosure will now be further described with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present disclosure and should not be construed as limiting the scope of protection of the present disclosure. It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application.

[0018] The acquisition, transmission, storage, use, and processing of data in this disclosed technical solution comply with relevant national laws and regulations. In the embodiments of this disclosure, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this disclosure, and do not imply that the applicant has already used or necessarily used such solutions.

[0019] All terms used in this disclosure have the same meaning as understood by one of ordinary skill in the art to which this disclosure pertains, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries should be interpreted as having meanings consistent with their meanings in the context of the relevant art, and not as idealized or highly formalized, unless expressly defined herein.

[0020] Example 1; The integrated control method for a wind-solar-thermal-storage integrated system-friendly new energy power plant in this embodiment is applicable to new energy power plants, and its specific process can be described as follows: Figure 1 As shown, it includes: Step 110: Based on the equipment information of each device of the target new energy power station, the predicted meteorological information and the historical market transaction information, predict the forecast information of the target new energy power station for the next day of the current day. The forecast information includes the predicted electricity price curve, the predicted power generation information and the predicted reverse charging information. The target new energy power station is a new energy power station built by reusing retired coal-fired power resources, including thermal energy storage equipment, wind power generation equipment and photovoltaic power generation equipment.

[0021] Specifically, the historical market transaction information includes historical power generation curves and historical electricity price curves. Based on the equipment information of each device in the target new energy power plant, forecast weather information, and historical market transaction information, the projected information for the next day is predicted. This includes: the target new energy power plant predicting peak periods where power generation demand is higher than a preset demand and off-peak periods where power generation demand is lower than the preset demand based on the historical power generation curve in the historical market transaction information; combining the peak periods, the off-peak periods, and the historical electricity price curve, a predicted electricity price curve for the next day is obtained, wherein the predicted electricity price corresponding to the peak period is higher than the predicted electricity price corresponding to the off-peak period; and combining the peak periods, off-peak periods, equipment information of each device in the target new energy power plant, and forecast weather information, predicted power generation information and predicted reverse charging information are predicted; wherein the predicted power generation information shows that the power generation corresponding to the peak period is greater than the power generation corresponding to the off-peak period, and the predicted reverse charging information shows that the charging amount corresponding to the peak period is less than the charging amount corresponding to the off-peak period.

[0022] Therefore, by integrating historical market transaction information (including historical power generation curves and historical electricity price curves), current day-ahead meteorological information, and the physical characteristics of various equipment in the target renewable energy power plant, a day-ahead intelligent forecasting and optimized control model for the electricity spot market has been constructed. This optimized control model can accurately identify the peak and off-peak electricity consumption periods of the next day based on historical electricity price patterns and generate a predicted electricity price curve that conforms to market operation characteristics. Furthermore, by combining wind and solar resource forecasts and the operational capabilities of thermal energy storage equipment, it scientifically predicts the maximum power generation capacity and reverse charging absorption capacity of the target renewable energy power plant for the next day, forming predicted power generation and reverse charging information highly coordinated with electricity price signals. This means prioritizing a high proportion of power supply during peak hours with high electricity prices and proactively engaging in thermal energy storage during off-peak hours with low electricity prices to improve energy utilization efficiency. This optimized control model not only significantly improves the accuracy of the target renewable energy power plant's prediction of electricity spot market price trends and the rationality of its pricing strategies, but also greatly reduces the risk of performance penalties due to output deviations, while ensuring reliable power supply to the target grid during critical periods. Overall, it achieves an organic unity of minimizing curtailment rate, ensuring precise dispatching, and maximizing power generation revenue, providing technical support and operational assurance for new energy power plants to deeply participate in the electricity spot market.

[0023] Historical market transaction information refers to market transaction information that already exists on the current day. The current day refers to the calendar day at the time of the forecast operation. The target new energy power station refers to a new energy power station that requires regulation. A new energy power station is an integrated power station built using retired coal-fired power resources, including thermal energy storage equipment, wind power generation equipment, and solar power generation equipment. For example, a new energy power station is an integrated power station built by reusing the land, turbine hall, cooling tower, substation and transmission lines, turbine generator set, water treatment system, and other resources of retired coal-fired power plants, including thermal energy storage equipment, wind power generation equipment, and solar power generation equipment. Wind power generation equipment refers to equipment that generates electricity using wind energy. Solar power generation equipment refers to equipment that generates electricity using solar energy. Thermal energy storage equipment includes electric heating equipment, heat-to-electricity equipment, and thermal storage equipment. Electric heating equipment is used to convert electrical energy into heat energy. Heat-to-electricity equipment is used to convert heat energy into electrical energy; the heat-to-electricity equipment can be a turbine generator set. Thermal storage equipment is used to store thermal energy. Equipment information refers to the real-time status and physical parameters of each device in the target new energy power plant. For example, equipment information includes the real-time status and physical parameters of thermal energy storage equipment, wind power generation equipment, and solar power generation equipment. The physical parameters of thermal energy storage equipment may include its heat storage capacity, heat loss rate, maximum charging power, and maximum releasing power. The real-time status of thermal energy storage equipment can be operating, standby, or faulty. The real-time status of wind power generation equipment can also be operating, standby, or faulty. The physical parameters of wind power generation equipment may include maintenance parameters and maximum power generation. The real-time status of solar power generation equipment can also be operating, standby, or faulty. The physical parameters of solar power generation equipment may include detection parameters and maximum power generation. Operating status indicates that the equipment is in normal operating condition. Faulty status indicates that the equipment is unusable. Standby status indicates that the equipment is usable but not in use. Forecasted meteorological information refers to weather data predicted for the next day that will affect wind and solar power generation. Historical market transaction information refers to market transaction information that already exists on the current day. This information includes the power generation curve and the corresponding transaction price. Forecasted power generation information refers to the predicted power generation information of the solar and wind power generation equipment in the target renewable energy power plant for the next day. This information may include the maximum peak power and the maximum peak electricity. Forecasted reverse charging information refers to the predicted thermal energy storage of the target renewable energy power plant for the next day. This thermal energy storage includes the stored and absorbed power generation from the solar and wind power generation equipment and the thermal energy converted from electricity absorbed from the target grid. The predicted reverse charging information includes the maximum reverse charging power and the maximum reverse charging electricity. The predicted electricity price curve refers to the predicted electricity price for each time period of the next day. For example, if each time period is 15 minutes, then a day is divided into 96 time periods. Therefore, the predicted electricity price curve refers to the predicted electricity price for each of the 96 time periods of the next day.

[0024] Step 120: Send the forecast information to the target power grid to which the target new energy power station is connected, and receive the forecast information sent by all new energy power stations connected to the target power grid to determine the power generation plan curve of the target new energy power station for the next day.

[0025] The target power grid refers to the power grid that governs the target renewable energy power plant. The target renewable energy power plant supplies electricity to the target power grid, and the target power grid also charges the target renewable energy power plant in reverse. Besides governing the target renewable energy power plant, the target power grid also governs other renewable energy power plants. The generation plan curve refers to the generation plan formulated by the target power grid for the target renewable energy power plant for each time period of the next day. The generation plan curve includes the off-peak and off-peak power curve, peak power curve, and peak power curve of the target renewable energy power plant. The peak power curve refers to the output level required by the target renewable energy power plant to provide to the target power grid during peak system load periods. The peak power curve refers to the power level required by the target renewable energy power plant to absorb from the target power grid during off-peak system load periods. The off-peak and off-peak power curve refers to the output level of the target renewable energy power plant during off-peak and off-peak system load periods.

[0026] Furthermore, it should be noted that the peak power curve and peak-shaving power curve are determined by treating all equipment in the target renewable energy power plant as integrated dispatching devices, jointly participating in the dispatching of the target power grid. In addition to treating all equipment in the target renewable energy power plant as integrated dispatching devices, the off-peak and off-peak power curve can also be determined by treating the thermal energy storage equipment and power generation equipment (composed of wind power generation equipment and solar power generation equipment) in the target renewable energy power plant as individual devices, subjecting them to dispatching by the target power grid separately.

[0027] Specifically, receiving the power generation plan curve for the target new energy power station on the next day based on the forecast information sent by all new energy power stations connected to the target power grid includes: receiving the power generation plan curve for the target new energy power station on the next day formulated by the target power grid, wherein the power generation plan curve is the power generation plan curve for the target new energy power station formulated by the target power grid based on the forecast information of all new energy power stations under its jurisdiction.

[0028] For example, the target power grid receives forecast information from all renewable energy power plants under its jurisdiction. Based on the forecast information from all renewable energy power plants, the target power grid makes a forecast to obtain the power generation plan curve for each renewable energy power plant on the next day, and sends the power generation plan curve to the corresponding renewable energy power plant.

[0029] In addition, before sending the power generation plan curve to the target new energy power plant, the target power grid performs a safety check on the power generation plan curve. When the safety check passes, the power generation plan curve is sent to the target new energy power plant.

[0030] Step 130: Based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each time period of the next day, generate real-time control instructions for each time period of the next day, so that the target new energy power station can supply power to the target power grid and control the operation of the thermal energy storage equipment based on the real-time control instructions.

[0031] Among them, real-time dispatch instructions refer to the dynamic output or dynamic power absorption adjustment instructions issued by the target power grid to the target renewable energy power station through the AGC (Automatic Generation Control) system based on the second-level operating status of the power grid system. Real-time control instructions refer to the instructions generated autonomously by the intelligent control system inside the target renewable energy power station based on real-time dispatch instructions, power generation plan curves, and forecast meteorological information to dispatch its internal power generation equipment or thermal energy storage equipment.

[0032] Specifically, in step 130 above, generating real-time control instructions for each period of the next day based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each period of the next day includes: determining the control mode of the target new energy power station for the next day based on the predicted meteorological information and the power generation plan curve. The control mode is used to control the target new energy power station to operate with the basic objective of conforming to the predicted meteorological information and meeting the power generation demand corresponding to the power generation plan curve, and with the additional objectives of maximizing power utilization and minimizing power generation costs; generating real-time control instructions for each period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each period of the next day.

[0033] Among them, the control mode refers to the operation mode for scheduling the target new energy power plant.

[0034] Therefore, by integrating forecasted meteorological information, power generation plan curves, and real-time grid dispatch instructions, a multi-objective collaborative control mechanism centered on "meteorological adaptation—plan tracking—dynamic response" was constructed, significantly improving the operational safety, dispatch reliability, and energy utilization efficiency of the target renewable energy power plants. Based on matching forecasted meteorological information, this mechanism scientifically guides the charging and discharging of the target renewable energy power plants, avoiding energy waste and equipment damage caused by blind charging and discharging. For example, by finely coordinating wind, solar, and thermal energy storage operations, it effectively suppresses the power ramp-up rate exceeding limits and thermal stress shocks to the thermal energy storage system caused by sudden changes in wind and solar output, ensuring the safety and service life of key equipment. On this basis, the target renewable energy power plants strictly track the power generation plan curve, reliably fulfilling their grid dispatch obligations, and, under the premise of meeting equipment safety and grid dispatch accuracy constraints, achieving synergistic optimization of maximizing energy utilization (e.g., reducing wind and solar curtailment and improving energy storage cycle efficiency) and minimizing power generation costs (e.g., optimizing thermal energy storage charging and discharging paths and reducing auxiliary system energy consumption). Furthermore, this mechanism dynamically modifies real-time control commands based on the real-time dispatch instructions of the target power grid, achieving closed-loop coordinated control with second-level response and minute-level optimization. Therefore, this mechanism not only enhances the response accuracy and robustness of the target renewable energy power plant to real-time grid commands, but also achieves an organic unity of efficient energy utilization, healthy equipment operation, and improved overall benefits, providing key technical support for new power systems with a high proportion of renewable energy integration.

[0035] Furthermore, the aforementioned determination of the control mode for the target renewable energy power station on the next day based on the predicted meteorological information and the power generation plan curve includes: predicting the renewable energy power prediction curve of the target renewable energy power station based on the predicted meteorological information; if the predicted meteorological information indicates no sunlight all day, then determining the first sub-control mode for the next day as a no-sunlight weather power supply control mode; if the predicted meteorological information indicates sunlight, then determining the first sub-control mode for the next day as a sunlight weather power supply control mode; if there is an overload period in the power generation plan curve where the electricity demand is higher than the power generation capacity in the renewable energy power prediction curve, then determining the second sub-control mode for the overload period as a peak control mode, wherein the power generation capacity refers to the total power generation capacity of the photovoltaic power generation equipment and the wind power generation equipment in the target renewable energy power station; if there is a low-load period in the power generation plan curve where the electricity demand is lower than the power generation capacity in the renewable energy power prediction curve, then determining the second sub-control mode for the low-load period as a peak-shaving control mode; the control mode for the next day is composed of the first sub-control mode for the next day and the second sub-control modes corresponding to each period of the next day.

[0036] The control mode includes sub-control modes corresponding to each time period of the next day. Each sub-control mode represents the operating mode of the target new energy power plant during its corresponding time period. The sub-control modes include a first sub-control mode and a second sub-control mode. For example, if a day is divided into 96 15-minute time periods, and the sub-control mode corresponding to the time period from 9:00 to 9:15 on the next day is the no-sunlight power supply control mode and the peak control mode, then the target new energy power plant will operate in the no-sunlight power supply control mode and the peak control mode during the time period from 9:00 to 9:15 on the next day.

[0037] The new energy power prediction curve refers to the sum of the theoretical maximum output of the wind power generation equipment and solar power generation equipment of the target new energy power station under the predicted meteorological information for each time period of the next day. "All day without sunlight" means that the next day is entirely cloudy, or the total duration of cloudy periods is greater than the total duration of sunny periods, and the absolute value of the difference is greater than a third difference. When the predicted meteorological information for the next day is "all day without sunlight," the first sub-control mode for each time period of the next day is the "no sunlight weather power supply control mode." "Sunny" means that the next day has both sunny and dark periods, with normal weather fluctuations. When the predicted meteorological information for the next day is "sunny," the first sub-control mode for each time period of the next day is the "sunny weather power supply control mode." The "no sunlight weather power supply control mode" is used to control the thermal energy storage equipment to start thermal storage throughout the day until the thermal energy storage equipment is full and then stops thermal storage. The solar-powered weather-based power supply control mode is used to regulate the thermal energy storage equipment during periods of power curtailment at the target renewable energy power plant. This aims to minimize the curtailment rate of the target renewable energy power plant while ensuring its power supply during periods of high demand from the target grid. The peak-load control mode regulates the power generation equipment of the target renewable energy power plant to supply the grid at its maximum capacity. When power supply is insufficient, the thermal energy storage equipment of the target renewable energy power plant acts as a reserve power generation device, simultaneously supplying power to the grid. The peak-shaving control mode regulates the power generation equipment of the target renewable energy power plant to participate not only in supplying power to the target grid but also in peak-shaving ancillary services. This aims to improve the power utilization rate and efficiency of the target renewable energy power plant while ensuring it meets the grid's power demand.

[0038] Therefore, by constructing a three-in-one, two-layer control mode identification mechanism integrating "meteorological conditions, power generation capacity, and dispatch demand," refined, scenario-based, and dynamic management of the target renewable energy power plant's operation strategy is achieved. First, renewable energy power prediction curves are generated based on forecast meteorological information, and power supply control modes are categorized based on whether the weather is sunny or not, ensuring a high degree of matching between the basic operation strategy and natural resource conditions. Second, by combining the deviation analysis between the power generation plan curve and the renewable energy power generation capacity, peak control mode (to address power supply gaps) and peak shaving mode (to absorb excess power) are intelligently identified at different times of the day, forming a three-in-one, two-layer control mode integrating "meteorological conditions, planning, and capacity." This control mode not only significantly improves the target renewable energy power plant's ability to fulfill dispatch instructions from the target power grid and its response accuracy, effectively supporting the target power grid's peak supply and off-peak peak shaving needs, but also avoids ineffective start-up and shutdown of thermal energy storage equipment in unnecessary scenarios, thereby reducing equipment wear, extending the lifespan of the molten salt thermal energy storage system, maximizing the utilization of renewable energy, and reducing power curtailment. Ultimately, under the premise of strictly fulfilling grid dispatch obligations and ensuring the safe and stable operation of the system, multiple optimizations were achieved, including reducing wind and solar curtailment rates, improving energy storage cycle efficiency, increasing ancillary service revenue, and reducing overall operating costs. This provides a systematic solution for the intelligent, highly reliable, and high-value operation of wind-solar-thermal-storage integrated power plants.

[0039] Furthermore, the aforementioned real-time control instructions for each time period, based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day, include: for each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak control mode, then a real-time control instruction is generated to enable the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station to generate electricity at maximum power during the time period, while enabling the thermal energy storage equipment to participate in power generation, so as to meet the electricity demand of the power generation plan curve during the time period.

[0040] For example, the real-time control instruction generated to enable the photovoltaic and wind power generation equipment in the target new energy power plant to generate electricity at maximum power during the specified time period, while simultaneously enabling the thermal energy storage equipment to participate in power generation, in order to meet the electricity demand of the power generation plan curve during the specified time period, means that when the photovoltaic and wind power generation equipment in the target new energy power plant generates electricity at maximum power and can meet the electricity demand of the power generation plan curve during the specified time period, the power generation of the thermal energy storage equipment in the initial power generation instruction is 0, and the power generation of the wind power generation equipment and the photovoltaic power generation equipment are both at maximum power. When the photovoltaic and wind power generation equipment in the target new energy power plant generates electricity at maximum power and cannot meet the electricity demand of the power generation plan curve during the specified time period, the power generation of the wind power generation equipment and the photovoltaic power generation equipment in the initial power generation instruction are both at maximum power, and the power generation of the thermal energy storage equipment is the difference between the power corresponding to the electricity demand and the total power generation of the wind power generation equipment and the photovoltaic power generation equipment.

[0041] Therefore, during periods of high electricity demand, when the wind and solar power output of the target renewable energy power plant is limited by meteorological conditions and cannot meet the grid's electricity demand, the system can intelligently dispatch thermal energy storage equipment to generate electricity through heat release, precisely making up for the power supply gap. This mechanism deeply couples wind and solar power generation with thermal energy storage systems, forming an integrated and dispatchable joint power generation unit, significantly improving the overall output controllability and dispatch reliability of the power plant. In scenarios where renewable energy output fluctuates drastically or remains consistently low, the rapid response capability of thermal energy storage effectively smooths out net output deviations, ensuring high-precision tracking of power generation plan curves and real-time dispatch instructions, and significantly reducing the risk of power generation deviation assessments due to insufficient output. At the same time, through the synergistic strategy of "wind and solar priority, energy storage to fill gaps," it maximizes the utilization of renewable energy while avoiding the disorderly consumption of energy storage resources, achieving multiple technical benefits such as reliable power supply capacity, accurate dispatch performance, and controllable operational risks. This provides a practical and feasible technical path for renewable energy power plants to transform from "passive consumption" to "active support."

[0042] Furthermore, the aforementioned real-time control instructions for each time period, generated based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day, include: for each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak-shaving control mode, then based on the power generation capacity of the new energy power prediction curve in the time period, the electricity demand of the power generation plan curve in the time period, and the storage capacity and maximum charging power of the thermal energy storage device, the first adjustable peak capacity of the target new energy power station in the time period is determined, and a real-time control instruction is generated to store heat in the thermal energy storage device according to the first adjustable peak capacity in the time period, report the first adjustable peak capacity to the target power grid, and cause the target new energy power station to generate electricity to the target power grid according to the electricity demand of the power generation plan curve in the time period and the real-time control instructions of the target power grid.

[0043] The first adjustable peak capacity refers to the maximum adjustable charging power that the target renewable energy power station can use to participate in the grid's down-shaving ancillary services during the stated time period. The target grid can provide peak-shaving rewards to the target renewable energy power station based on the first adjustable peak capacity. Storage capacity refers to the electrical capacity corresponding to the remaining heat that the thermal energy storage device can store. Maximum charging power refers to the maximum capacity of the thermal energy storage device to convert electrical energy into thermal energy for storage per unit time.

[0044] For example, determining the first adjustable peak capacity of the target new energy power station during the specified period based on the power generation capacity of the new energy power prediction curve, the electricity demand of the power generation plan curve during the specified period, and the storage capacity and maximum charging power of the thermal energy storage device means: using the difference between the power generation capacity of the new energy power prediction curve and the electricity demand of the power generation plan curve during the specified period as the remaining capacity; calculating the maximum charging capacity by charging the thermal energy storage device at the maximum charging power during the specified period; and using the minimum value among the remaining capacity, the maximum charging capacity, and the storage capacity as the first adjustable peak capacity. Here, remaining capacity refers to available electricity that is idle and not needed, and would be discarded if not stored.

[0045] For example, the target new energy power plant generating electricity for the target power grid according to the electricity demand of the power generation plan curve during the specified time period and the real-time control instructions of the target power grid means that the real-time electricity demand of the target power grid is determined according to the electricity demand of the power generation plan curve during the specified time period and the real-time control instructions of the target power grid, and the target new energy power plant generates electricity according to the real-time electricity demand.

[0046] Therefore, in peak-shaving regulation mode, by comprehensively considering renewable energy power forecasts, power generation plan demands, and the storage capacity and maximum charging power of thermal energy storage equipment, the first scalable peak capacity is scientifically calculated and dynamically generated, achieving accurate identification and efficient recovery of surplus energy. This mechanism transforms the "residual capacity" (i.e., the portion of wind and solar power output exceeding the target grid's dispatch limit) that might otherwise be abandoned due to the target grid's limited absorption capacity into dispatchable downward peak-shaving capacity, which is stored in the thermal energy storage equipment of the target renewable energy power plant as thermal energy, effectively avoiding energy waste and improving the renewable energy absorption capacity of the target renewable energy power plant. At the same time, the target renewable energy power plant reports the first scalable peak capacity to the target grid based on its actual available regulation capacity, ensuring the accuracy and feasibility of ancillary service applications. This not only enhances the target grid's ability to accept renewable energy fluctuations but also provides technical support for the target renewable energy power plant to obtain peak-shaving rewards.

[0047] In some examples, the method further includes: real-time detection of the real-time heat storage capacity, real-time heat release capacity, real-time power generation, and real-time electricity demand of adjacent new energy power plants; if the real-time heat storage capacity is 0 and the real-time electricity demand is less than the real-time power generation, determining whether the target new energy power plant has heat storage capacity; if so, converting the first abandoned power of the adjacent new energy power plant into the first thermal energy of the target new energy power plant and storing the first thermal energy in the thermal energy storage device of the target new energy power plant; if the real-time heat release capacity is 0 and the real-time electricity demand is greater than the real-time power generation, determining whether the target new energy power plant has second abandoned power; if so, converting the second abandoned power into second thermal energy and sending it to the thermal energy storage device of the adjacent new energy power plant.

[0048] Among them, "adjacent new energy power station" refers to a new energy power station located less than a preset distance from the target new energy power station, or a new energy power station connected to the same target power grid as the target new energy power station. Real-time storable heat capacity refers to the heat that the thermal energy storage equipment of the adjacent new energy power station can store at the current moment. Real-time release capacity refers to the heat that the thermal energy storage equipment of the adjacent new energy power station can release at the current moment. "First curtailment" refers to the total power generation of adjacent new energy power stations exceeding the amount of electricity dispatched by the grid that the adjacent new energy power station itself cannot store. "First thermal energy" refers to the energy converted from the first curtailment into thermal energy and stored in the target new energy power station. "Second curtailment" refers to the total power generation of the target new energy power station exceeding the amount of electricity dispatched by the target power grid that it itself cannot store. "Second thermal energy" refers to the energy converted from the second curtailment into thermal energy and stored in the adjacent new energy power station.

[0049] Therefore, by monitoring the thermal storage capacity, thermal release capacity, power generation, and electricity demand of adjacent renewable energy power plants in real time, a collaborative and mutually supportive mechanism for thermal energy across renewable energy power plants was established. When an adjacent renewable energy power plant experiences power curtailment due to saturated thermal storage capacity, if the target renewable energy power plant has available thermal storage space, it will actively receive its surplus electricity and convert it into thermal energy for storage. Conversely, when an adjacent renewable energy power plant has insufficient power supply and its own thermal release capacity has reached its limit, if the target renewable energy power plant faces the risk of power curtailment, it can convert excess electricity into thermal energy and transmit it to the energy storage system of the adjacent renewable energy power plant. This mechanism effectively breaks the regulation boundary of a single renewable energy power plant, realizes the dynamic sharing and complementary utilization of thermal energy storage resources of different renewable energy power plants in the region, significantly improves the overall renewable energy consumption level, and reduces unnecessary wind and solar curtailment. At the same time, by using thermal energy as a carrier for cross-station energy transfer, frequent grid power backfeeding is avoided, reducing the risk of line congestion and scheduling complexity. Under the premise of ensuring the safe operation of each grid, it enhances the flexibility, reliability, and economy of the regional renewable energy cluster, providing an innovative technical path for building a high-proportion renewable energy system for collaborative operation.

[0050] In summary, this solution predicts the next day's forecast information for the target new energy power station based on equipment information, forecasted meteorological information, and historical market transaction information. This forecast information includes a predicted electricity price curve, predicted power generation information, and predicted reverse charging information. The target new energy power station is a new energy power station built using retired coal-fired power resources, comprising thermal energy storage equipment, wind power generation equipment, and solar power generation equipment. The predicted information is sent to the target power grid to which the target new energy power station is connected, and the target power grid receives the predicted information from all new energy power stations connected to the target power grid to determine the power generation plan curve for the target new energy power station on the next day. Based on the power generation plan curve, the forecasted meteorological information, and the real-time dispatch instructions from the target power grid for each time period on the next day, real-time control instructions are generated for each time period on the next day. This enables the target new energy power station to supply power to the target power grid and control the operation of the thermal energy storage equipment based on the real-time control instructions. This solution effectively revitalizes idle coal-fired power resources and avoids resource waste by constructing a new type of environmentally friendly new energy power station integrating wind, solar, and thermal energy storage by reusing the resources of retired coal-fired power units. Based on this, by integrating the physical characteristics of each device in the target renewable energy power plant, forecast meteorological information, and historical market transaction data, the system accurately predicts the next day's forecast electricity price curve, power generation capacity, and reverse charging (thermal storage) potential, and reports this forecast information to the target power grid. The target power grid then coordinates the resources of all renewable energy power plants across its network, tailoring a power generation plan curve to match the actual regulation capacity of each target renewable energy power plant. Subsequently, based on this power generation plan curve, forecast meteorological information, and real-time dispatch instructions issued by the target power grid for each time period, the target renewable energy power plant dynamically generates refined real-time control instructions, coordinating and optimizing wind and solar power output and thermal energy storage charging and discharging operations. This mechanism significantly improves the level of renewable energy absorption and substantially reduces wind and solar curtailment rates; simultaneously, by accurately tracking dispatch plans and market price signals, it effectively reduces the risk of power generation deviation assessments. Overall, it not only resolves the structural contradiction between idle retired coal-fired power resources and the high volatility and difficulty in absorption of renewable energy, but also enhances the target renewable energy power plant's responsiveness to the diverse demands of the target power grid, such as peak loads and peak shaving, comprehensively improving the flexibility, reliability, and economy of the target renewable energy power plant.

[0051] Example 2: Another embodiment of this application relates to an integrated control device for a wind-solar-thermal-storage integrated system of a friendly new energy power plant, applicable to new energy power plants. The implementation details of this embodiment's integrated control device are described below. The following details are for ease of understanding and are not essential for implementing this solution. A schematic diagram of the integrated control device 20 for this embodiment can be seen as follows: Figure 2As shown, it includes a prediction unit 200, a transmission unit 210, and a generation unit 220.

[0052] The prediction unit 200 is used to predict the next day's prediction information of the target new energy power station based on the equipment information of each device of the target new energy power station, the predicted meteorological information and the historical market transaction information. The prediction information includes the predicted electricity price curve, the predicted power generation information and the predicted reverse charging information. The target new energy power station is a new energy power station built by reusing retired coal-fired power resources and includes thermal energy storage equipment, wind power generation equipment and photovoltaic power generation equipment.

[0053] The sending unit 210 is used to send the prediction information to the target power grid to which the target new energy power station is connected, and to receive the prediction information sent by all new energy power stations connected to the target power grid to determine the power generation plan curve of the target new energy power station for the next day.

[0054] The generation unit 220 is used to generate real-time control instructions for each period of the next day based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each period of the next day, so that the target new energy power plant can supply power to the target power grid and control the operation of the thermal energy storage equipment based on the real-time control instructions.

[0055] In some embodiments of this disclosure, when the device is used to generate real-time control instructions for each period of the next day based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each period of the next day, it is specifically used to: determine the control mode of the target new energy power station for the next day based on the predicted meteorological information and the power generation plan curve, wherein the control mode is used to control the target new energy power station to operate with the basic objective of conforming to the predicted meteorological information and meeting the power generation demand corresponding to the power generation plan curve, and with the additional objectives of maximizing power utilization and minimizing power generation cost; and generate real-time control instructions for each period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each period of the next day.

[0056] In some embodiments of this disclosure, when the device is used to determine the control mode of the target new energy power station for the next day based on the predicted meteorological information and the power generation plan curve, it is specifically used to: predict the new energy power prediction curve of the target new energy power station based on the predicted meteorological information; if the predicted meteorological information is no light all day, then determine the first sub-control mode for the next day as the no-light weather power supply control mode; if the predicted meteorological information is light, then determine the first sub-control mode for the next day as the light weather power supply control mode; if there is an overload period in the power generation plan curve where the electricity demand is higher than the power generation capacity in the new energy power prediction curve, then determine the second sub-control mode for the overload period as the peak control mode, wherein the power generation capacity refers to the total power generation capacity of the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station; if there is a low-load period in the power generation plan curve where the electricity demand is lower than the power generation capacity in the new energy power prediction curve, then determine the second sub-control mode for the low-load period as the peak-shaving control mode; and form the control mode for the next day based on the first sub-control mode for the next day and the second sub-control modes corresponding to each period of the next day.

[0057] In some embodiments of this disclosure, when the device generates real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day, it is specifically used to: for each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak control mode, then generate real-time control instructions that enable the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station to generate electricity at maximum power during the time period, while enabling the thermal energy storage equipment to participate in power generation, so as to meet the electricity demand of the power generation plan curve during the time period.

[0058] In some embodiments of this disclosure, when the device is used to generate real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day, it is specifically used to: for each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak-shaving control mode, then based on the power generation capacity of the new energy power prediction curve in the time period, the electricity demand of the power generation plan curve in the time period, and the storage capacity and maximum charging power of the thermal energy storage device, determine the first adjustable peak capacity of the target new energy power station in the time period, and generate real-time control instructions to store heat in the thermal energy storage device according to the first adjustable peak capacity in the time period, report the first adjustable peak capacity to the target power grid, and cause the target new energy power station to generate electricity to the target power grid according to the electricity demand of the power generation plan curve in the time period and the real-time control instructions of the target power grid.

[0059] In some embodiments of this disclosure, when the device is used to predict the forecast information of the target new energy power station for the next day based on the equipment information of each device of the target new energy power station, forecast meteorological information, and historical market transaction information, the specific steps are as follows: the target new energy power station predicts, based on the historical power generation curve in the historical market transaction information, the peak period when the power generation demand is higher than the preset power generation demand and the low period when the power generation demand is lower than the preset power generation demand in the next day; combining the peak period, the low period, and the historical electricity price curve, the predicted electricity price curve for the next day is obtained, wherein the predicted electricity price curve for the peak period is higher than the predicted electricity price curve for the low period; and combining the peak period, the low period, the equipment information of each device of the target new energy power station, and forecast meteorological information, the predicted power generation information and the predicted reverse charging information are predicted; wherein the predicted power generation information for the peak period is greater than the power generation for the low period, and the predicted reverse charging information for the peak period is less than the charging for the low period.

[0060] In some embodiments of this disclosure, the device is further configured to: detect in real time the real-time heat storage capacity, real-time heat release capacity, real-time power generation, and real-time electricity demand of adjacent new energy power plants; if the real-time heat storage capacity is 0 and the real-time electricity demand is less than the real-time power generation, determine whether the target new energy power plant has heat storage capacity; if so, convert the first abandoned power of the adjacent new energy power plant into the first thermal energy of the target new energy power plant and store the first thermal energy in the thermal energy storage device of the target new energy power plant; if the real-time heat release capacity is 0 and the real-time electricity demand is greater than the real-time power generation, determine whether the target new energy power plant has second abandoned power; if so, convert the second abandoned power into second thermal energy and send it to the thermal energy storage device of the adjacent new energy power plant.

[0061] It is worth mentioning that all units involved in this embodiment are logical units. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed in this application; however, this does not mean that other units are absent in this embodiment.

[0062] Example 3: This disclosure also provides an electronic device, comprising: a memory for storing at least one instruction; and a processor for calling the instruction stored in the memory to execute the integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant in any of the above embodiments.

[0063] Example 4: This disclosure also provides a computer-readable storage medium storing at least one executable instruction, which is loaded and executed by a processor to implement the integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant in any of the above embodiments.

[0064] Example 5: This disclosure also provides a computer program product, which includes computer program code. When the computer program code is run by a computer, it causes the computer to execute the integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant in any of the above embodiments.

[0065] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0070] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0071] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0072] It should be noted that the terms "first," "second," and similar terms used in this disclosure do not indicate any order, quantity, or importance, but are merely used to distinguish different parts. Terms such as "including" or "contains" mean that the element preceding the word covers the element listed after the word, and do not exclude the possibility of covering other elements as well.

[0073] Although operations are described in a specific order in the accompanying drawings in this disclosure, it should not be construed as requiring these operations to be performed in the specific order or serial order shown, or requiring all of the shown operations to obtain the desired result. In certain environments, multitasking and parallel processing may be advantageous.

[0074] Finally, it should be noted that the above content is only used to illustrate the technical solution of this disclosure, and is not intended to limit the scope of protection of this disclosure. Simple modifications or equivalent substitutions made by those skilled in the art to the technical solution of this disclosure do not depart from the substance and scope of the technical solution of this disclosure.

Claims

1. A method for integrated control of a wind-solar-thermal-storage integrated system for a user-friendly new energy power plant, characterized in that, Applicable to new energy power plants, including: Based on the equipment information of each device in the target new energy power station, the forecast information of the next day of the target new energy power station on the current day, the forecast information includes the forecast electricity price curve, the forecast power generation information and the forecast reverse charging information. The target new energy power station is a new energy power station built by reusing retired coal-fired power resources, including thermal energy storage equipment, wind power generation equipment and photovoltaic power generation equipment. The forecast information is sent to the target power grid into which the target new energy power station is connected, and the target power grid determines the power generation plan curve of the target new energy power station for the next day based on the forecast information sent by all new energy power stations connected to the target power grid. Based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each time period of the next day, real-time control instructions for each time period of the next day are generated, so that the target new energy power plant can supply power to the target power grid and control the operation of the thermal energy storage equipment based on the real-time control instructions.

2. The integrated control method for a wind-solar-thermal-storage integrated system of a user-friendly new energy power plant according to claim 1, characterized in that, Based on the power generation plan curve, the predicted meteorological information, and the target power grid's real-time dispatch instructions for each time period of the next day, real-time control instructions for each time period of the next day are generated, including: Based on the predicted meteorological information and the power generation plan curve, the control mode of the target new energy power plant is determined for the next day. The control mode is used to control the target new energy power plant to operate with the basic objective of conforming to the predicted meteorological information and meeting the power generation demand corresponding to the power generation plan curve, and with the additional objectives of maximizing power utilization and minimizing power generation cost. Based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day, a real-time control instruction for each time period is generated.

3. The integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant according to claim 2, characterized in that, Based on the predicted meteorological information and the power generation plan curve, the control mode of the target new energy power plant for the next day is determined, including: Based on the predicted meteorological information, predict the new energy power forecast curve of the target new energy power station; If the predicted weather information is no light all day, then the first sub-control mode for the next day is determined to be the power supply control mode for no light weather. If the predicted weather information indicates sunshine, then the first sub-control mode for the next day is determined to be the sunshine weather power supply control mode. If there is an overload period in the power generation plan curve where the electricity demand is higher than the power generation capacity in the new energy power prediction curve, then the second sub-control mode of the overload period is determined to be the peak control mode, where the power generation capacity refers to the total power generation capacity of the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station. If there is a low-load period in the power generation plan curve where the electricity demand is lower than the power generation capacity in the new energy power prediction curve, then the second sub-control mode of the low-load period is determined to be the peak-shaving control mode. The control mode for the next day is composed of the first sub-control mode for the next day and the second sub-control modes corresponding to each time period of the next day.

4. The integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant according to claim 3, characterized in that, The generation of real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day includes: For each time period of the next day, if the first sub-control mode of the time period is the power supply control mode for no-sunlight weather or the power supply control mode for sunny weather, and the second sub-control mode of the time period is the peak control mode, then a real-time control instruction is generated to enable the photovoltaic power generation equipment and the wind power generation equipment in the target new energy power station to generate electricity at maximum power during the time period, and at the same time enable the thermal energy storage equipment to participate in power generation, so as to meet the power demand of the power generation plan curve during the time period.

5. The integrated control method for a wind-solar-thermal-storage integrated system of a user-friendly new energy power plant according to claim 3, characterized in that, The generation of real-time control instructions for each time period based on the control mode, the power generation plan curve, and the real-time dispatch instructions of the target power grid for each time period of the next day includes: For each time period of the next day, if the first sub-control mode of the time period is a power supply control mode for no-sunlight weather or a power supply control mode for sunny weather, and the second sub-control mode of the time period is a peak-shaving control mode, then based on the power generation capacity of the new energy power prediction curve in the time period, the power demand of the power generation plan curve in the time period, and the storage capacity and maximum charging power of the thermal energy storage device, the first adjustable peak capacity of the target new energy power station in the time period is determined. Then, a real-time control instruction is generated to store heat in the thermal energy storage device according to the first adjustable peak capacity in the time period, report the first adjustable peak capacity to the target power grid, and make the target new energy power station generate electricity to the target power grid according to the power demand of the power generation plan curve in the time period and the real-time control instruction of the target power grid.

6. The integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant according to claim 1, characterized in that, The historical market transaction information includes historical power generation curves and historical electricity price curves. Based on the equipment information of each device in the target new energy power plant, forecast weather information, and historical market transaction information, the forecast information for the target new energy power plant for the next day is predicted, including: The target new energy power plant predicts, based on the historical power generation curves in the historical market transaction information, the peak periods when power generation demand is higher than the preset power generation demand and the low periods when power generation demand is lower than the preset power generation demand in the next day of the current day; By combining the peak period, the off-peak period, and the historical electricity price curve, the predicted electricity price curve for the next day is obtained, wherein the predicted electricity price corresponding to the peak period is higher than the predicted electricity price corresponding to the off-peak period. The predicted power generation information and predicted reverse charging information are predicted by combining the peak period, the off-peak period, the equipment information of each device in the target new energy power station, and the predicted meteorological information; wherein, the predicted power generation information shows that the power generation during the peak period is greater than the power generation during the off-peak period, and the predicted reverse charging information shows that the charging amount during the peak period is less than the charging amount during the off-peak period.

7. The integrated control method for a wind-solar-thermal-storage integrated system of a friendly new energy power plant according to claim 1, characterized in that, The method further includes: Real-time monitoring of the real-time heat storage capacity, real-time heat release capacity, real-time power generation, and real-time electricity demand of adjacent new energy power plants; If the real-time available thermal storage capacity is 0 and the real-time electricity demand is less than the real-time power generation, determine whether the target new energy power station has available thermal storage capacity. If it does, convert the first abandoned power of the adjacent new energy power station into the first thermal energy of the target new energy power station and store the first thermal energy in the thermal energy storage device of the target new energy power station. If the real-time heat release capacity is 0 and the real-time electricity demand is greater than the real-time power generation, determine whether the target new energy power station has second abandoned power. If so, convert the second abandoned power into second thermal energy and send it to the thermal energy storage device of the adjacent new energy power station.

8. A wind-solar-thermal-storage integrated control device for a wind-solar-thermal-storage hybrid power plant, characterized in that, Applicable to new energy power plants, including: The prediction unit is used to predict the prediction information of the target new energy power station for the next day based on the equipment information of each device of the target new energy power station, the predicted meteorological information and the historical market transaction information. The prediction information includes the predicted electricity price curve, the predicted power generation information and the predicted reverse charging information. The target new energy power station is a new energy power station built by reusing retired coal-fired power resources, including thermal energy storage equipment, wind power generation equipment and photovoltaic power generation equipment. The sending unit is used to send the prediction information to the target power grid into which the target new energy power station is connected, and to receive the prediction information sent by all new energy power stations connected to the target power grid to determine the power generation plan curve of the target new energy power station for the next day. The generation unit is used to generate real-time control instructions for each time period of the next day based on the power generation plan curve, the predicted meteorological information, and the real-time dispatch instructions of the target power grid for each time period of the next day, so that the target new energy power plant can supply power to the target power grid and control the operation of the thermal energy storage equipment based on the real-time control instructions.

9. An electronic device, characterized in that, include: Memory, used to store at least one instruction; as well as A processor is used to invoke instructions stored in the memory to execute the integrated control method for a wind-solar-thermal-storage integrated system of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one executable instruction, which is loaded and executed by a processor to implement the integrated control method for a wind-solar-thermal-storage integrated system of new energy power plants as described in any one of claims 1-7.

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