A data processing system for a source-grid-load-storage integrated management platform

Abstract

The present invention relates to the field of data processing technology, and specifically, to a data processing system for a source-grid-load-storage integrated management platform. It includes: an event detection unit for monitoring real-time grid load, power generation and meteorological data; a scheduling optimization unit for calculating the load gap according to the detected abnormal events, adjusting the start and stop of the standby generator set according to the load gap, and then calculating the charging and discharging strategy of the energy storage device according to the load gap and the power of the enabled standby generator set; an instruction execution unit for feeding back the data after executing the instruction to the scheduling optimization unit. The system can more accurately evaluate the actual available power generation capacity in the power grid, especially in the face of emergencies, it can more flexibly adjust the charging and discharging strategy of the energy storage system to cope with complex and changeable power demand, and effectively avoid the sudden supply and demand imbalance caused by sudden weather changes.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a data processing system for a source-grid-load-storage integrated management platform. Background Art

[0002] With the increasing global demand for clean energy and the widespread application of distributed energy resources (DERs) such as solar energy and wind energy, the operation mode of the power system is undergoing profound changes. These changes have not only brought more uncertainty and complexity, but also put forward higher requirements for the safe and stable operation of the power grid. In the context of the new power system, "source-grid-load-storage integration" has been proposed and gradually developed as an operation mode and technical framework that can maximize the utilization of energy resources. It aims to integrate the four key links of the power supply side, the grid side, the load side and the energy storage side, and explore the development path of building a highly integrated new generation of power system by optimizing the allocation of local resources;

[0003] In order to support this vision, the data processing system of the integrated management platform of power generation, grid, load and storage has become an indispensable technical pillar. The system needs to overcome the limitations of traditional power systems, especially when faced with massive real-time data, to ensure efficient data analysis and decision support, and to respond quickly even in extreme situations (such as large-scale energy fluctuations, emergencies, etc.). However, although some platforms have achieved large-scale data collection, the data processing and response capabilities may be insufficient when faced with massive real-time data. The data processing system may not be able to perform efficient data analysis and decision support within milliseconds or even seconds, resulting in a slow response speed, affecting the real-time optimization and scheduling of the system. Therefore, a data processing system for the integrated management platform of power generation, grid, load and storage is designed. Summary of the invention

[0004] The purpose of the present invention is to provide a data processing system for a source-grid-load-storage integrated management platform to solve the problem raised in the above background technology that when faced with massive real-time data, the data processing and response capabilities may be insufficient, resulting in slow response speed and affecting the real-time optimization and scheduling of the system.

[0005] To achieve the above object, the present invention provides a data processing system for a source-grid-load-storage integrated management platform, comprising:

[0006] An event detection unit, which is used to monitor real-time grid load, power generation and meteorological data, detect abnormal events through preset threshold standards, and trigger an alarm and record the event when an abnormal event is detected;

[0007] A dispatch optimization unit, which is used to calculate the load gap according to the detected abnormal event, adjust the start and stop of the standby generator set according to the load gap, and then calculate the charging and discharging strategy of the energy storage device according to the load gap and the power of the enabled standby generator set, and finally generate the corresponding dispatch instruction;

[0008] Among them, the dispatch optimization unit includes a power grid dispatch module, a generator control module, and an energy storage dispatch module;

[0009] The instruction execution unit is used to execute the scheduling instructions in the scheduling optimization unit and feed back the data after the execution of the instructions to the scheduling optimization unit.

[0010] As a further improvement of the technical solution, in the scheduling optimization unit:

[0011] The power grid dispatching module is used to evaluate and minimize the load gap, and introduces the influence of meteorological data to optimize the process of evaluating and minimizing the load gap, and finally generates demand instructions for the generator control module and the energy storage dispatching module;

[0012] The generator control module is used to receive the load gap of the power grid dispatching module, calculate the start and stop requirements of the standby generator set according to the load gap, and adjust the output of the generator set to make up for the missing power generation capacity, and finally generate the first dispatching instruction;

[0013] The energy storage scheduling module is used to calculate the charging and discharging power of the energy storage system according to the load gap provided by the power grid scheduling module and the power of the standby generator set enabled by the generator control module. In the process of calculating the charging and discharging power of the energy storage system, the possible power shortage of the standby generator, which cannot make up for the load gap, is introduced for optimization, and then the charging and discharging strategy is obtained, and finally the second scheduling instruction is generated.

[0014] As a further improvement of the technical solution, the power grid dispatching module is specifically as follows:

[0015] Calculate the load notch:

[0016] P gap =P load -(P gen0 +P stor0 );

[0017] Among them, P gap is the load gap, which represents the difference between load demand and existing power generation capacity; P load is the load demand of the power grid; P gen0 is the total power generation of all generator sets in the initial power grid; P stor0 is the charging and discharging power of all energy storage systems in the initial power grid;

[0018] Minimize load notches:

[0019]

[0020] Where Z is the minimum load gap; is the load demand of the ith area; is the power generation power of the ith region; is the power of the energy storage system in the i-th region; N is the number of regions in the power grid; i=1,2,…,N.

[0021] As a further improvement of the technical solution, the generator control module calculates the start and stop requirements of the standby generator set according to the load gap, specifically:

[0022] Determine the start and stop strategy of the standby generator set:

[0023] P start =max(0,P gap );

[0024] Among them, P start The activation power of the standby generator;

[0025] P gen,start =min(P start ,P gen,max );

[0026] Among them, P gen,start The actual output of the standby generator set used; P gen,max is the maximum output of each standby generator set;

[0027] If the load gap is less than or equal to zero, it means that the grid load is balanced with the power generation capacity, and the standby generator sets are gradually shut down.

[0028] As a further improvement of the technical solution, the generator control module adjusts the output of the generator set, specifically:

[0029] P gen，j =min(P gen,max，j , P gen，j +ΔP gen，j );

[0030] Among them, P gen，j is the current output power of the jth generator set; P gen，max，j is the maximum output of the jth generator set; ΔP gen，j is the power that needs to be adjusted for the j-th generator set;

[0031]

[0032] Among them, Pgen ′ is the total power generation of all generator sets in the optimized power grid; M is the number of generators.

[0033] As a further improvement of the technical solution, the energy storage scheduling module has the following specific steps:

[0034] S1. Calculate energy storage requirements:

[0035] P stor =P charge -P discharge ;

[0036] Among them, P stor is the energy storage demand, P charge is the charging power of the energy storage system; P discharge is the discharge power of the energy storage system;

[0037] S2. Determine the charging power P of the energy storage system charge The values ​​are as follows:

[0038] If the grid has excess power generation capacity, the energy storage system starts charging, and the charging power is:

[0039] P charge1 =min(P stor,max , P excess );

[0040] Among them, P charge1 is the charging power; P stor,max is the maximum charging power of the energy storage system; P excess is the surplus power generation in the energy storage system;

[0041] S3. Determine the discharge power P of the energy storage system discharge The values ​​are as follows:

[0042] The first case: If the grid load exceeds the capacity of the existing power generation and energy storage system, the energy storage system needs to discharge, and the discharge power is:

[0043] P discharge1 =max(0,P gap -P gen,start );

[0044] Among them, P discharge1 is the discharge power in the first case;

[0045] The second case: If the total power of the generator set and the energy storage system cannot meet the load demand, the discharge power of the energy storage system is dynamically adjusted according to the energy storage capacity:

[0046] P discharge2 =min(P stor，max , Pgap -P gen，start );

[0047] Among them, P discharge2 is the discharge power in the second case.

[0048] As a further improvement of the technical solution, in the energy storage scheduling module, the situation that the power shortage of the backup generator may exist and cannot make up for the load gap is introduced in the process of calculating the charging and discharging power of the energy storage system for optimization. After optimization, it is specifically as follows:

[0049] P discharge2，new =min(P stor,max , P gap -P gen,effective );

[0050] Among them, P discharge2，new is the discharge power of the second case after optimization; P gen,effective is the effective power generation;

[0051]

[0052] Among them, P rated，j is the rated power of the jth conventional generator set; η j (t) is the efficiency of the jth generator set at time t; A j (t) is the availability factor of the jth generator set at time t; P renewable (t) is the predicted output power of all renewable energy sources at time t; P uncertainty (t) is the power loss due to uncertainty factors;

[0053] Then, according to different situations, the real-time charging and discharging power is generated, and the real-time charging and discharging power P of all energy storage systems in the power grid is obtained. stor ′.

[0054] As a further improvement of the technical solution, the output power of the generator in the generator control module and the charging power and discharging power in the energy storage scheduling module can be fed back to the power grid scheduling module, specifically:

[0055] Update load gap:

[0056] P gap ′=P load -(P gen ′+P stor ′);

[0057] Among them, P gap ' is the updated load gap;

[0058] Minimize load notches:

[0059]

[0060] Where Z' is the updated minimized load gap; is the load demand of area I; is the updated power generation power of the ith region; is the updated power of the energy storage system in area I.

[0061] As a further improvement of the technical solution, in the power grid dispatching module, the influence of meteorological data is introduced to optimize the process of evaluating the load gap and minimizing the load gap. After optimization, the specific results are as follows:

[0062] Update and optimize load gaps:

[0063]

[0064] Among them, "Pgap" is the updated load gap; Forecasting renewable energy generation based on real-time weather data;

[0065] Optimize to minimize load gaps:

[0066]

[0067] Among them, Z” is the updated and optimized minimized load gap; is the predicted value of renewable energy power generation in the i-th region based on weather forecast.

[0068] As a further improvement of the present technical solution, the instruction execution unit includes an engine end and an energy storage end, the engine end is used to receive and execute a first scheduling instruction of the generator control module, and the energy storage end is used to receive and execute a second scheduling instruction of the energy storage scheduling module.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] 1. In the data processing system of the source-grid-load-storage integrated management platform, the effective power generation can be introduced to more accurately evaluate the actual available power generation capacity in the power grid, especially in the face of emergencies, such as some generators failing to start as expected or output power lower than expected. This enables the energy storage scheduling module to more flexibly adjust the charging and discharging strategies of the energy storage system to cope with complex and changing power demand.

[0071] 2. In the data processing system of the integrated source-grid-load-storage management platform, by taking into account the predicted value of renewable energy power generation in a certain area obtained from weather forecasts, it helps to smooth out fluctuations between supply and demand, especially when the proportion of new energy is high, and effectively avoids sudden supply and demand imbalances caused by sudden weather changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is the overall flow chart of the present invention;

[0073] Figure 2 It is a system block diagram of the scheduling optimization unit in the present invention;

[0074] Figure 3 is a system block diagram of the instruction execution unit in the present invention;

[0075] The meaning of each number in the figure is:

[0076] 1. Event detection unit; 2. Dispatch optimization unit; 21. Grid dispatch module; 22. Generator control module; 23. Energy storage dispatch module; 3. Instruction execution unit; 31. Engine end; 32. Energy storage end. DETAILED DESCRIPTION

[0077] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0078] Example

[0079] See also Figure 1-3 As shown, a data processing system of a source-grid-load-storage integrated management platform is provided, including:

[0080] Event detection unit 1, event detection unit 1 is used to monitor real-time grid load, power generation and meteorological data, detect abnormal events through preset threshold standards, and trigger an alarm and record the event when abnormal events such as sudden drop in wind power generation and increase in grid load are detected;

[0081] With preset threshold standards, it can identify any deviation from the normal range, such as a sudden drop in wind power generation or an abnormal increase in grid load, and trigger an alarm and record the event when these situations are detected. This mechanism can ensure that power system operators can be informed of potential problems at the first time and take necessary measures to avoid more serious consequences.

[0082] The dispatch optimization unit 2 is used to calculate the load gap according to the detected abnormal event, adjust the start and stop of the standby generator set according to the load gap, and then calculate the charging and discharging strategy of the energy storage device according to the load gap and the power of the enabled standby generator set, and finally generate the corresponding dispatch instruction;

[0083] The dispatch optimization unit 2 includes a power grid dispatch module 21, a generator control module 22, and an energy storage dispatch module 23:

[0084] In Scheduling Optimization Unit 2:

[0085] The power grid dispatching module 21 is used to evaluate the load gap and minimize the load gap, and introduces the influence of meteorological data to optimize the process of evaluating the load gap and minimizing the load gap, and finally generates demand instructions for the generator control module 22 and the energy storage dispatching module 23; wherein the load gap is the gap between the power grid load and the power generation capacity;

[0086] The power grid dispatching module 21 is specifically as follows:

[0087] Calculate the load notch:

[0088] P gap =P load -(P gen0 +P stor0 );

[0089] Among them, P gap is the load gap, which represents the difference between load demand and existing power generation capacity; P load is the load demand of the power grid; P gen0 is the total power generation of all generator sets in the initial power grid; P stor0 is the charging and discharging power of all energy storage systems in the initial power grid;

[0090] Accurately calculating the load gap is crucial for subsequent dispatch decisions, as it directly determines how many additional resources need to be mobilized to meet the uncovered demand. This process helps to respond quickly to emergencies and ensure power supply continuity.

[0091] Minimize load notches:

[0092]

[0093] Where Z is the minimum load gap; is the load demand of the ith area; is the power generation power of the ith region; is the power of the energy storage system in the i-th region; N is the number of regions in the power grid; i = 1, 2, ..., N;

[0094] That is, to find the most reasonable resource allocation plan in the entire power grid so that the total load gap is minimized. This not only improves energy utilization efficiency, but also enhances the stability and reliability of the system.

[0095] The generator control module 22 is used to receive the load gap from the power grid dispatching module 21, calculate the start and stop requirements of the standby generator set according to the load gap, adjust the output of the generator set, thereby making up for the missing power generation capacity, and finally generate a first dispatching instruction;

[0096] Once the load gap is determined, the generator control module 22 will adjust the status of the standby generator set based on this information - start or stop. Specifically, if there is a positive load gap (i.e., demand is greater than supply), more generator sets will be activated to fill the gap; conversely, the workload of some units may be reduced or even shut down. Such dynamic management can effectively deal with short-term supply and demand imbalances while avoiding unnecessary energy waste and equipment wear.

[0097] The generator control module 22 calculates the start and stop requirements of the standby generator set according to the load gap, specifically:

[0098] Determine the start and stop strategy of the standby generator set:

[0099] P start =max(0,P gap );

[0100] Among them, P start is the starting power of the standby generator; when the load gap P gap When it is greater than 0, the generator set needs to supplement the insufficient power. When the load gap is negative or 0, there is no need to enable the standby generator set.

[0101] This formula is used to determine whether it is necessary to start the standby generator set and the power required to start it. start Indicates the enabling power of the standby generator, which is the load gap P gap and 0. This means that only when the load gap is positive, that is, the actual load demand exceeds the current power generation capacity of the power grid, will the backup generator set be considered to supplement the insufficient power; if the load gap is negative or zero, it means that the existing power generation capacity is sufficient or even excessive, so there is no need to start additional backup generator sets.

[0102] P gen，start =min(P start , P gen，max );

[0103] Among them, P gen，start The actual output of the standby generator set used; P gen,max is the maximum output of each standby generator set;

[0104] This formula further limits the actual enabled standby generator output P gen，start , ensuring that the maximum output P of each standby generator set is not exceededgen，max This is to prevent damage to equipment due to overuse and to ensure safe operation of the power system. At the same time, it also means that even if there is a large load gap, it will not exceed the maximum power that a single or multiple standby generator sets can provide.

[0105] If the load gap is less than or equal to zero, it means that the grid load is balanced with the power generation capacity, and the standby generator sets are gradually shut down.

[0106] The generator control module 22 adjusts the output of the generator set, specifically:

[0107] P gen，j =min(P gen,max，j , P gen,j +ΔP gen，j );

[0108] Among them, P gen，j is the current output power of the jth generator set; P gen，max，j is the maximum output of the jth generator set; ΔP gen，j is the power that needs to be adjusted for the j-th generator set;

[0109] For the jth generator set, its current output power P gen，j It should be the maximum output P of the unit genmax,j and the adjusted power P gen,j +ΔP gen,j Take the smaller value between gen,j means

[0110] The power increase or decrease that needs to be adjusted for the jth generator set is calculated based on the dispatch optimization results. This is done to ensure that each generator set operates within its physical limits while meeting the needs of the overall power system;

[0111]

[0112] Among them, P gen ' is the total power generation of all generator sets in the optimized power grid; M is the number of generators; the total power generation of all running generator sets P gen ' is obtained by adding up the adjusted output power of each unit. This step summarizes the actual contribution of all participating generating units in the entire grid, thus forming a new generation capacity baseline to cope with the latest load conditions;

[0113] In this way, the generator control module 22 not only defines how to effectively manage the start and stop of the backup generator set, but also guides the fine adjustment of the generator set output, thereby achieving the optimal configuration of resources within the power system, ensuring the quality of power supply and maximizing economic benefits. In addition, this approach also supports a higher proportion of renewable energy access because it can better handle the uncertainty brought by intermittent power sources, such as wind and solar energy.

[0114] The energy storage scheduling module 23 is used to calculate the charging and discharging power of the energy storage system according to the load gap provided by the power grid scheduling module 21 and the power of the standby generator set enabled by the generator control module 22, and introduce the possible power shortage of the standby generator in the process of calculating the charging and discharging power of the energy storage system so as to optimize the situation that the load gap cannot be made up, thereby obtaining the charging and discharging strategy and finally generating the second scheduling instruction;

[0115] The coordinated work between the energy storage dispatch module 23, the grid dispatch module 21 and the generator control module 22 aims to achieve a dynamic balance of the power system, improve the ability to respond to emergencies, enhance the flexibility and stability of the system, and maximize the use of renewable energy and energy storage resources, reduce dependence on traditional fossil energy, and ultimately achieve the purpose of improving the safety, economy and environmental protection of the entire power network.

[0116] The specific steps of the energy storage scheduling module 23 are as follows:

[0117] S1. Calculate energy storage requirements:

[0118] P stor =P charge -P discharge ;

[0119] Among them, P stor is the energy storage demand, P charge is the charging power of the energy storage system; P discharge is the discharge power of the energy storage system; this value P stor Be able to understand whether the energy storage system is absorbing or releasing energy, and what the specific amount is.

[0120] S2. Determine the charging power P of the energy storage system charge The values ​​are as follows:

[0121] If the grid has excess generation capacity (for example, the generation is greater than the load demand), the energy storage system starts charging, and the charging power is:

[0122] P charge1 =min(P stor，max , P excess );

[0123] Among them, Pcharge1 is the charging power; P stor，max is the maximum charging power of the energy storage system; P excess is the surplus power generation in the energy storage system, indicating the power generation exceeding the load demand;

[0124] When the power generation exceeds the immediate load demand, the energy storage system will start charging. At this time, the charging power P charge2 It should be the maximum charging power P of the energy storage system stor，max and the remaining power generation P excess This ensures that the safe working range of the energy storage device is not exceeded, and as much excess electricity as possible can be stored for subsequent use.

[0125] S3. Determine the discharge power P of the energy storage system discharge The values ​​are as follows:

[0126] The first case: If the grid load exceeds the capacity of the existing power generation and energy storage system, the energy storage system needs to discharge, for example: 1. Renewable energy peak period: For example, when solar power generation is sufficient or wind power generation conditions are ideal during the day, a large amount of clean electricity may be generated, and the electricity demand at this time is relatively low; 2. Nighttime trough period: Usually, industrial and residential electricity demand will drop significantly at night, while some base load power plants will still maintain stable operation, resulting in excess power supply / 3. Non-peak hours: During non-peak hours during the day on weekdays, such as in the morning or early afternoon, some areas may also have a phenomenon of power generation exceeding power consumption. The discharge power is:

[0127] P discharge1 =max(0,P gap -P gen，start );

[0128] Among them, P discharge1 is the discharge power in the first case;

[0129] When the load gap P gap When the backup generator set is still insufficient to make up for the gap, the energy storage system needs to provide additional power support. discharge1 It represents the minimum necessary power that the energy storage system can provide to fill the remaining load gap. Similarly, the maximum value function is used to ensure that the result is non-negative, that is, the discharge behavior is triggered only when it is really needed.

[0130] The second case: If the total power of the generator set and the energy storage system cannot meet the load demand, the discharge power of the energy storage system is dynamically adjusted according to the energy storage capacity:

[0131] P discharge2 =min(P stor，max , Pgap -P gen，start );

[0132] Among them, P discharge2 is the discharge power of the second case;

[0133] In this case, even if all available power generation resources are activated, there is still unmet load demand. At this time, the discharge power P of the energy storage system discharge2 It should be based on its maximum discharge capacity P stor，max This step ensures that the energy storage system can contribute its stored energy as much as possible without damaging its own health, helping to maintain the stable operation of the power grid.

[0134] Through the above formula, the energy storage scheduling module 23 can intelligently respond to the dynamic changes of the power system and ensure that the energy storage system performs charging and discharging operations at the most appropriate time. This method not only improves energy utilization efficiency and reduces unnecessary losses, but also enhances the flexibility and stability of the power system. In particular, when facing the challenges brought by the volatility of renewable energy, the timely intervention of the energy storage system can effectively alleviate the problem of imbalance between supply and demand, thereby ensuring the safe and reliable operation of the power grid.

[0135] In the energy storage scheduling module 23, in the process of calculating the charging and discharging power of the energy storage system, the situation that the backup generator may have insufficient power and cannot make up for the load gap is introduced for optimization. After optimization, the specific results are:

[0136] When the power of the backup generator is not enough to make up for the load gap, the work of the energy storage scheduling module 23 becomes more complicated. In this special case, the energy storage system not only serves as a conventional peak load regulation method, but also plays the role of an emergency backup power supply. This means that when calculating P discharge We cannot rely solely on P gen，start , but we need to consider a lower effective power generation P gen,effective , which reflects the minimum power generation level that can actually be provided. Therefore, the updated discharge power formula becomes:

[0137] P discharge2，new =min(P stor,max , P gap -P gen,effective );

[0138] Among them, P discharge2，new is the discharge power of the second case after optimization; P gen,effective is the effective power generation; when the backup generator set cannot completely make up for the load gap after starting, the energy storage system needs to provide additional support. At this time, the calculation of discharge power should not only consider the maximum discharge capacity P of the energy storage systemstor,max , we must also consider the minimum power generation level P that can actually be provided gen,effective , to ensure that the energy storage system can contribute as much energy as possible without exceeding its safe operating range.

[0139]

[0140] Among them, P rated，j is the rated power of the jth conventional generator set, representing the maximum power that the generator set can provide under ideal conditions; η j (t) is the efficiency of the jth generator set at time t, which reflects the conversion efficiency of the equipment under operating conditions and is usually affected by factors such as load rate; A j P (t) is the availability factor of the jth generator set at time t, indicating whether the equipment is in normal working condition. The value is 0 or 1, 0 means shutdown and 1 means startup; renewable (t) is the predicted output power of all renewable energy sources (such as wind power and solar power) at time t; P uncertainty (t) Power loss due to uncertain factors, including but not limited to equipment failure and weather changes;

[0141] By introducing P gen，effective , can more accurately assess the actual available power generation capacity in the grid, especially in the face of emergencies, such as some generators failing to start as expected or outputting less power than expected. This enables the energy storage dispatch module to more flexibly adjust the charging and discharging strategies of the energy storage system to cope with complex and changing power demand.

[0142] Then, according to different situations, the real-time charging and discharging power is generated, and the real-time charging and discharging power P of all energy storage systems in the power grid is obtained. stpr ′;

[0143] The output power of the generator in the generator control module 22 and the charging power and discharging power in the energy storage scheduling module 23 can be fed back to the grid scheduling module 21, specifically:

[0144] Update load gap:

[0145] P gap ′=P load -(P gen ′+P stor ′);

[0146] Among them, P gap ' is the updated load gap; the grid dispatching module 21 can dynamically adjust its understanding of the load gap according to the latest power generation capacity and energy storage status to ensure that it always makes decisions based on the most accurate information.

[0147] Minimize load notches:

[0148]

[0149] Where Z′ is the updated minimized load gap; is the load demand of the ith area; is the updated power generation power of the ith region; is the updated power of the energy storage system in the i-th region;

[0150] By continuously monitoring the generator output power and the status of the energy storage system and providing immediate feedback to the grid dispatch module 21, dispatch decisions can be made faster and more accurate. This rapid response capability is essential for dealing with sudden load changes, especially when the proportion of renewable energy is high, as these energy sources are usually intermittent and uncertain.

[0151] In the power grid dispatching module 21, the influence of meteorological data is introduced to optimize the process of evaluating the load gap and minimizing the load gap. The optimization is as follows:

[0152] Update and optimize load gaps:

[0153]

[0154] Among them, p gap " is the updated load gap; the grid dispatching module 21 can dynamically adjust its understanding of the load gap according to the latest power generation capacity and energy storage status to ensure that it always makes decisions based on the most accurate information. Forecasting renewable energy generation based on real-time weather data;

[0155] The grid dispatch module 21 can dynamically adjust its understanding of the load gap based on the latest power generation capacity and energy storage status, ensuring that its decisions are always based on the most accurate information. This means that the dispatch center can respond in a shorter time and adjust the power generation plan or activate energy storage resources in a timely manner to make up for any potential power shortage. In addition, using real-time meteorological data to predict the power generation of renewable energy (such as wind power and solar power) makes the prediction closer to the actual situation and reduces the uncertainty caused by weather changes.

[0156] Optimize to minimize load gaps:

[0157]

[0158] Among them, Z” is the updated and optimized minimized load gap; is the predicted value of renewable energy power generation in the i-th region based on weather forecast;

[0159] By taking into account the predicted value of renewable energy power generation in the i-th region obtained from the weather forecast, the future power generation potential can be better foreseen and the output of other power sources can be planned in advance accordingly. This approach helps to smooth the fluctuations between supply and demand, especially when the proportion of new energy is high, and effectively avoids the sudden imbalance of supply and demand caused by sudden weather changes. At the same time, it also promotes cross-regional energy coordination, because meteorological conditions in different regions may vary. Some places may have sufficient sunlight or wind resources, while other places may face unfavorable climatic conditions. In this way, resource allocation can be optimized on a larger scale, overall energy utilization efficiency can be improved, and operating costs can be reduced, while also providing stronger support capabilities for responding to extreme weather events.

[0160] The instruction execution unit 3 is used to execute the scheduling instruction in the scheduling optimization unit 2, and feed back the data after executing the instruction to the scheduling optimization unit 2; the instruction execution unit 3 includes an engine end 31 and an energy storage end 32, the engine end 31 is used to receive and execute the first scheduling instruction of the generator control module 22, and the energy storage end 32 is used to receive and execute the second scheduling instruction of the energy storage scheduling module 23;

[0161] The engine end 31 focuses on receiving and executing the first dispatch instruction from the generator control module 22, ensuring that the traditional power generation facilities produce electricity according to the optimal solution; while the energy storage end 32 is responsible for processing the second dispatch instruction issued by the energy storage dispatch module 23, managing the charging and discharging behavior of energy storage devices such as batteries, which not only promotes the intelligent management of power production, but also lays a solid foundation for building a more stable, reliable and environmentally friendly modern power system. By accurately implementing the dispatch instructions and timely feeding back the execution results to the dispatch optimization unit 2, a closed-loop control system is formed, which further improves the overall operation efficiency and service quality.

[0162] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A data processing system for a source-grid-load-storage integrated management platform, characterized in that: include: An event detection unit (1), the event detection unit (1) is used to monitor real-time grid load, power generation and meteorological data, detect abnormal events through preset threshold standards, and trigger an alarm and record the event when an abnormal event is detected; A dispatch optimization unit (2), the dispatch optimization unit (2) is used to calculate the load gap according to the detected abnormal event, adjust the start and stop of the standby generator set according to the load gap, and then calculate the charging and discharging strategy of the energy storage device according to the load gap and the power of the enabled standby generator set, and finally generate a corresponding dispatch instruction; The dispatch optimization unit (2) includes a power grid dispatch module (21), a generator control module (22), and an energy storage dispatch module (23); An instruction execution unit (3), wherein the instruction execution unit (3) is used to execute the scheduling instruction in the scheduling optimization unit (2) and feed back data after the instruction is executed to the scheduling optimization unit (2).

2. The data processing system of the source-grid-load-storage integrated management platform according to claim 1 is characterized in that: In the scheduling optimization unit (2): The power grid dispatching module (21) is used to evaluate the load gap and minimize the load gap, and in the process of evaluating the load gap and minimizing the load gap, the influence of meteorological data is introduced for optimization, and finally a demand instruction for the generator control module (22) and the energy storage dispatching module (23) is generated; The generator control module (22) is used to receive the load gap of the power grid dispatching module (21), calculate the start and stop requirements of the standby generator set according to the load gap, adjust the output of the generator set, thereby making up for the missing power generation capacity, and finally generate a first dispatching instruction; The energy storage scheduling module (23) is used to calculate the charging and discharging power of the energy storage system according to the load gap provided by the power grid scheduling module (21) and the power of the standby generator set enabled by the generator control module (22), and to introduce the situation that the standby generator may have insufficient power and cannot make up for the load gap during the calculation of the charging and discharging power of the energy storage system for optimization, thereby obtaining a charging and discharging strategy and finally generating a second scheduling instruction.

3. The data processing system of the source-grid-load-storage integrated management platform according to claim 2 is characterized in that: The power grid dispatching module (21) is specifically as follows: Calculate the load notch: P gap =P load -(P gen0 +P stor0 ); Among them, P gap is the load gap, which represents the difference between load demand and existing power generation capacity; P load is the load demand of the power grid; P gen0 is the total power generation of all generator sets in the initial power grid; P stor0 is the charging and discharging power of all energy storage systems in the initial power grid; Minimize load notch: Where Z is the minimum load gap; is the load demand of the ith area; is the power generation power of the ith region; is the power of the energy storage system in the i-th region; N is the number of regions in the power grid; i=1,2,…,N.

4. The data processing system of the source-grid-load-storage integrated management platform according to claim 3 is characterized by: The generator control module (22) calculates the start and stop requirements of the standby generator set according to the load gap, specifically: Determine the start and stop strategy of the standby generator set: P start =max(0,P gap ); Among them, P start The activation power of the standby generator; P gen,start =min(P start ,P gen,max ); Among them, P gen,start The actual output of the standby generator set used; P gen,max is the maximum output of each standby generator set; If the load gap is less than or equal to zero, it means that the grid load is balanced with the power generation capacity, and the standby generator sets are gradually shut down.

5. The data processing system of the source-grid-load-storage integrated management platform according to claim 4 is characterized by: The generator control module (22) adjusts the output of the generator set, specifically: P gen,j =min(P gen,max,j ,P gen,j +ΔP gen,j ); Among them, P gen,j is the current output power of the jth generator set; P gen,max,j is the maximum output of the jth generator set; ΔP gen,j is the power that needs to be adjusted for the jth generator set; Among them, P gen ' is the total power generation of all generator sets in the optimized power grid; M is the number of generators.

6. The data processing system of the source-grid-load-storage integrated management platform according to claim 5 is characterized in that: The energy storage scheduling module (23) has the following specific steps: S1. Calculate energy storage requirements: P stor =P charge -P discharge ; Among them, P stor is the energy storage demand, P charge is the charging power of the energy storage system; P discharge is the discharge power of the energy storage system; S2. Determine the charging power P of the energy storage system charge The values ​​are as follows: If the grid has excess power generation capacity, the energy storage system starts charging, and the charging power is: P charge1 =min(P stor,max ,P excess ); Among them, P charge1 is the charging power; P stor,max is the maximum charging power of the energy storage system; P excess is the surplus power generation in the energy storage system; S3. Determine the discharge power P of the energy storage system discharge The values ​​are as follows: The first case: If the grid load exceeds the capacity of the existing power generation and energy storage system, the energy storage system needs to discharge, and the discharge power is: P discharge1 =max(0,P gap -P gen,start ); Among them, P discharge1 is the discharge power in the first case; The second case: If the total power of the generator set and the energy storage system cannot meet the load demand, the discharge power of the energy storage system is dynamically adjusted according to the energy storage capacity: P discharge2 =min(P stor,max ,P gap -P gen,start ); Among them, P discharge2 is the discharge power in the second case.

7. The data processing system of the source-grid-load-storage integrated management platform according to claim 6 is characterized by: In the energy storage scheduling module (23), in the process of calculating the charging and discharging power of the energy storage system, the situation that the backup generator may have insufficient power and thus cannot make up for the load gap is introduced for optimization. After optimization, the specific situation is as follows: P discharge2,new =min(P stor,max ,P gap -P gen,effective ); Among them, P dischar ge2,new is the discharge power of the second case after optimization; P gen,effective is the effective power generation; Among them, P rated,j is the rated power of the jth conventional generator set; η j (t) is the efficiency of the jth generator set at time t; A j (t) is the availability factor of the jth generator set at time t; P renewable (t) is the predicted output power of all renewable energy sources at time t; P uncertainty (t) is the power loss due to uncertainty factors; Then, according to different situations, the real-time charging and discharging power is generated, and the real-time charging and discharging power P of all energy storage systems in the power grid is obtained. stor '.

8. The data processing system of the source-grid-load-storage integrated management platform according to claim 7 is characterized by: The output power of the generator in the generator control module (22) and the charging power and discharging power in the energy storage scheduling module (23) can be fed back to the power grid scheduling module (21), specifically: Update load gap: P gap '=P load -(P gen +P stor ); Among them, P gap ' is the updated load gap; Minimize load notch: Where Z' is the updated minimized load gap; is the load demand of the ith area; is the updated power generation power of the ith region; is the updated power of the energy storage system in the i-th region.

9. The data processing system of the source-grid-load-storage integrated management platform according to claim 8 is characterized by: In the power grid dispatching module (21), the influence of meteorological data is introduced to optimize the process of evaluating the load gap and minimizing the load gap. After optimization, the specific results are as follows: Update and optimize load gaps: Among them, P gap ” is the updated load gap; Forecasting renewable energy generation based on real-time weather data; Optimize to minimize load gaps: Among them, Z” is the updated and optimized minimized load gap; is the predicted value of renewable energy power generation in the i-th region based on weather forecast.

10. The data processing system of the source-grid-load-storage integrated management platform according to claim 9 is characterized in that: The instruction execution unit (3) comprises an engine end (31) and an energy storage end (32), wherein the engine end (31) is used to receive and execute a first scheduling instruction of a generator control module (22), and the energy storage end (32) is used to receive and execute a second scheduling instruction of an energy storage scheduling module (23).

Images