Power system generation control method and device, computer readable storage medium

Abstract

The application discloses a power system generation control method and device, and a computer readable storage medium. The method comprises the following steps: obtaining wind power capacity generated by a wind turbine generator and thermal power capacity generated by a thermal turbine generator in a power system; processing unit data of the power system by using a unit combination model to obtain original index values of the power system under the wind power capacity; processing current unit data of the power system by using the unit combination model to obtain current index values of the power system; when determining that a deviation between the current index values and the original index values is less than a deviation threshold, obtaining a thermal power capacity increment and a wind power capacity decrement of the power system; and replacing the wind power capacity decrement with the thermal power capacity increment to control the power system to generate power. The application solves the technical problem that wind power output of the power system has obvious fluctuation in the related art, and the power system is prone to unstable operation.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular to a power generation control method and device, and a computer-readable storage medium for a power system. Background Art

[0002] In the field of power system planning, wind power reliable capacity is usually the capacity of conventional units that can be replaced by wind power generation while maintaining the original reliability level of the system, while capacity reliability refers to the percentage of this replacement capacity in the total installed capacity of the wind farm. The two indicators have different dimensions but the same concept. In current research, capacity reliability is usually defined in the following four ways: (1) Equal reliable capacity ratio, that is, the capacity ratio of completely reliable conventional units that can be replaced by wind power; (2) Equal conventional unit capacity ratio, that is, the capacity ratio of conventional units with a certain outage rate that can be replaced by wind power; (3) Reliable output under confidence, that is, the reliable output of the power generation side is defined as the available capacity of the unit under a certain confidence level, and the wind power capacity reliability is the increment of this reliable output after wind power is connected; (4) Effective load carrying capacity, that is, the ratio of the load difference that can be supplied before and after wind power is connected to the installed capacity of wind power.

[0003] However, during the operation phase of a power system with a high proportion of renewable energy, on the one hand, the wind farm output itself has obvious random fluctuations, coupled with objective conditions such as prediction errors, which bring uncertainty to the system; on the other hand, due to the technical constraints of the units and the constant changes in load levels, the start and stop status and output of the units will also change accordingly, and changes in system operating conditions such as system currents, system frequencies, and node voltages will also constantly affect the components.

[0004] Regarding the problem that wind power output of the power system in the above-mentioned related technologies has obvious fluctuations, which easily causes unstable operation of the power system, no effective solution has been proposed so far. Summary of the Invention

[0005] The embodiments of the present invention provide a power generation control method and device, and a computer-readable storage medium for a power system, so as to at least solve the technical problem in the related art that the wind power output of the power system has obvious fluctuations, which easily causes unstable operation of the power system.

[0006] According to one aspect of an embodiment of the present invention, a power generation control method for an electric power system is provided, comprising: obtaining the wind power capacity generated by wind turbines and the thermal power capacity generated by thermal turbines in the electric power system; processing the unit data of the electric power system using a unit combination model to obtain the original index value of the electric power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, each of the multiple sets of training data comprising: sample unit data, sample original index values ​​corresponding to the sample unit data, the original index values ​​being used to evaluate the operating status of the electric power system; processing the current unit data of the electric power system using the unit combination model to obtain the The current index value of the power system, wherein the current unit data is the unit data after the wind power capacity of the predetermined value is replaced by the thermal power capacity in the power system; when it is determined that the deviation between the current index value and the original index value is less than the deviation threshold, the thermal power capacity increment and the wind power capacity reduction of the power system are obtained, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity of the power system and the thermal power capacity when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity of the power system and the wind power capacity when the deviation is less than the deviation threshold; the thermal power capacity increment is used to replace the wind power capacity reduction to control the power system to generate electricity.

[0007] Optionally, before using the unit combination model to process the unit data of the power system to obtain the original index value of the power system under the current wind power capacity, the power generation control method of the power system also includes: obtaining basic data of each unit in the power system and maintenance information of the unit to be repaired, wherein the basic data is the data in the power system used to analyze the original index value, and the unit to be repaired is the unit that needs to be repaired in the power system; generating a maintenance strategy for the unit to be repaired according to the maintenance information using the equal spare capacity method; and generating the unit data based on the basic data, the maintenance information and the maintenance strategy.

[0008] Optionally, a maintenance strategy for the units to be maintained is generated based on the maintenance information using the equal spare capacity method, including: obtaining the unit capacity of the units to be maintained; sorting the unit capacity in descending order or ascending order to obtain a sorting result; using the equal spare capacity method to filter out the time period with the highest spare capacity during the operation of the power system, wherein the spare capacity is the power generation capacity to avoid failure of the power system due to an emergency; and performing maintenance on each of the units to be maintained in turn within the time period according to the sorting result.

[0009] Optionally, before using the unit combination model to process the unit data of the power system to obtain the original index value of the power system under the current wind power capacity, the power generation control method of the power system also includes: determining the objective function with the goal of minimizing the operating cost of the power system; constraining the system parameters and operating parameters of each unit during the operation of the power system to obtain constraint conditions, wherein the constraint conditions include at least: power balance constraints, hot standby constraints and component technical constraints; generating the unit combination model according to the objective function and the constraint conditions.

[0010] Optionally, using a unit combination model to process the unit data of the power system to obtain an original index value of the power system under the current wind power capacity includes: using the unit combination model to process the unit data of the power system to obtain a state value of the power system, wherein the state value at least includes: a load value and a unit capacity value; obtaining a power shortage probability value according to the load value and the unit capacity value using a first formula, wherein the first formula is: LOLP=P(P load,t >P gen,t ), LOLP is the power shortage probability value, P() is the probability function, P load,t is the load value of the power system in time period t, P gen,t is the unit capacity value of the power system in time period t, the power shortage probability value is the probability that the load value exceeds the capacity values ​​of all the units; the power shortage expected value is obtained by using the second formula according to the power shortage probability value, wherein the second formula is: LOLE=LOLP×T, LOLE is the power shortage expected value, T is the total number of time periods t, and the power shortage expected value is the number of time periods in which the power system cannot meet the load demand; the power shortage expected value is obtained by using the third formula according to the load value and the unit capacity value, wherein the third formula is: EENS is the expected value of power shortage, which is the expected value that the power generation capacity of the power system cannot meet actual demand during the maintenance cycle; the original indicator value is composed of the power shortage probability value, the power shortage expected value and the power shortage expected value.

[0011] Optionally, before using the unit combination model to process the current unit data of the power system to obtain the current index value of the power system, the power generation control method of the power system also includes: increasing the thermal power capacity of the thermal power unit to replace the wind power capacity of the predetermined value to continue to control the power system to generate electricity; and obtaining the current unit data of the power system.

[0012] Optionally, the thermal power capacity increment is used to equivalently replace the wind power capacity reduction to control the power system to generate electricity, including: determining the thermal power generation capacity corresponding to the thermal power capacity increment; determining the wind power generation capacity corresponding to the wind power capacity reduction; and replacing the wind power generation capacity with the thermal power generation capacity to control the power system to generate electricity.

[0013] According to another aspect of an embodiment of the present invention, a power generation control device for an electric power system is provided, comprising: a first acquisition unit for acquiring the wind power capacity generated by wind turbines and the thermal power capacity generated by thermal turbines in the electric power system; a second acquisition unit for processing the unit data of the electric power system using a unit combination model to obtain the original index value of the electric power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, and each set of the multiple sets of training data includes: sample unit data, and sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the electric power system; a third acquisition unit for processing the current unit data of the electric power system using the unit combination model Processing to obtain the current index value of the power system, wherein the current unit data is the unit data after the wind power capacity of the predetermined value is replaced by the thermal power capacity in the power system; a fourth acquisition unit is used to obtain the thermal power capacity increment and wind power capacity reduction of the power system when it is determined that the deviation between the current index value and the original index value is less than the deviation threshold, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity of the power system and the thermal power capacity when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity of the power system and the wind power capacity when the deviation is less than the deviation threshold; a control unit is used to replace the wind power capacity reduction with the thermal power capacity increment to control the power system to generate electricity.

[0014] Optionally, the power generation control device of the power system also includes: a fifth acquisition unit, which is used to obtain basic data of each unit in the power system and maintenance information of the unit to be repaired before using the unit combination model to process the unit data of the power system to obtain the original index value of the power system under the current wind power capacity, wherein the basic data is the data in the power system used to analyze the original index value, and the unit to be repaired is the unit that needs to be repaired in the power system; a first generation unit, which is used to generate a maintenance strategy for the unit to be repaired according to the maintenance information using the equal spare capacity method; and a second generation unit, which is used to generate the unit data based on the basic data, the maintenance information and the maintenance strategy.

[0015] Optionally, the first generation unit includes: a first acquisition module, used to obtain the unit capacity of the unit to be repaired; a second acquisition module, used to sort the unit capacity in descending order or ascending order to obtain a sorting result; a sorting module, used to use the equal spare capacity method to filter out the time period with the highest spare capacity during the operation of the power system, wherein the spare capacity is the power generation capacity to avoid failure of the power system due to an emergency; and a maintenance module, used to perform maintenance on each of the units to be repaired in turn within the time period according to the sorting result.

[0016] Optionally, the power generation control device of the power system also includes: a determination unit, which is used to process the unit data of the power system using the unit combination model to obtain the original index value of the power system under the current wind power capacity, with the goal of minimizing the operating cost of the power system; a sixth acquisition unit, which is used to constrain the system parameters and operating parameters of each unit during the operation of the power system to obtain constraint conditions, wherein the constraint conditions include at least: power balance constraints, hot standby constraints and component technical constraints; a third generation unit, which is used to generate the unit combination model according to the objective function and the constraint conditions.

[0017] Optionally, the second acquisition unit includes: a third acquisition module, configured to process the unit data of the power system using the unit combination model to obtain a state value of the power system, wherein the state value at least includes: a load value and a unit capacity value; a fourth acquisition module, configured to obtain a power shortage probability value using a first formula according to the load value and the unit capacity value, wherein the first formula is: LOLP=P(P load,t >P gen,t ), LOLP is the power shortage probability value, P() is the probability function, P load,t is the load value of the power system in time period t, P gen,t is the unit capacity value of the power system in time period t, and the power shortage probability value is the probability that the load value exceeds the capacity values ​​of all the units; a fifth acquisition module is used to obtain the power shortage expected value using a second formula according to the power shortage probability value, wherein the second formula is: LOLE=LOLP×T, LOLE is the power shortage expected value, T is the total number of the time periods t, and the power shortage expected value is the number of time periods in which the power system cannot meet the load demand; a sixth acquisition module is used to obtain the power shortage expected value using a third formula according to the load value and the unit capacity value, wherein the third formula is: EENS is the expected value of power shortage, which is the expected value that the power generation capacity of the power system cannot meet actual demand during the maintenance period; the composition module is used to compose the original indicator value based on the power shortage probability value, the power shortage expected value and the power shortage expected value.

[0018] Optionally, the power generation control device of the power system also includes: a replacement unit, which is used to increase the thermal power capacity of the thermal power unit before using the unit combination model to process the current unit data of the power system to obtain the current indicator value of the power system, so as to replace the wind power capacity of the predetermined value to continue to control the power system to generate electricity; a seventh acquisition unit, which is used to obtain the current unit data of the power system.

[0019] Optionally, the control unit includes: a first determination module, used to determine the thermal power generation capacity corresponding to the thermal power capacity increase; a second determination module, used to determine the wind power generation capacity corresponding to the wind power capacity decrease; and a control module, used to use the thermal power generation capacity to replace the wind power generation capacity to control the power system to generate electricity.

[0020] According to another aspect of an embodiment of the present invention, a power generation control system of an electric power system is provided. The power generation control system of the electric power system uses any one of the above-mentioned power generation control methods of the electric power system.

[0021] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, wherein the computer-readable storage medium includes a stored program, wherein the program executes any one of the above-mentioned power generation control methods for the power system.

[0022] According to another aspect of an embodiment of the present invention, a processor is further provided, wherein the processor is configured to run a program, wherein the program executes any one of the above-mentioned power generation control methods for a power system when running.

[0023] According to another aspect of an embodiment of the present invention, a computer program product is provided, comprising computer instructions, wherein when the computer instructions are executed by a processor, any one of the above-mentioned methods for controlling power generation in a power system is executed.

[0024] In an embodiment of the present invention, the wind power capacity generated by wind turbines and the thermal power capacity generated by thermal turbines in a power system can be obtained; the unit combination model is used to process the unit data of the power system to obtain the original index value of the power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, and each set of the multiple sets of training data includes: sample unit data, sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the power system; the unit combination model is used to process the current unit data of the power system to obtain The current index value of the power system, wherein the current unit data is the unit data after the predetermined wind power capacity is replaced by the thermal power capacity in the power system; when it is determined that the deviation between the current index value and the original index value is less than the deviation threshold, the thermal power capacity increment and wind power capacity reduction of the power system are obtained, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity and the thermal power capacity of the power system when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity and the wind power capacity of the power system when the deviation is less than the deviation threshold; the thermal power capacity increment is used to replace the wind power capacity reduction to control the power system to generate electricity. Through the above technical solution, the purpose of determining the thermal power capacity value that can be equivalently replaced by wind power capacity for power generation by comparing the original index value of the power system under wind power capacity and the current index value of the power system under the use of thermal power capacity and wind power capacity is achieved, and the technical effect of using thermal power capacity to equivalently replace wind power capacity for power generation is achieved under the premise of ensuring the reliable operation of the power system, thereby improving the stability of the power system operation, and thus solving the technical problem in the related technology that the wind power output of the power system has obvious fluctuations, which easily causes the unstable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0026] Figure 1 This is a hardware structure block diagram of a mobile terminal for a power system power generation control method according to an embodiment of the present invention;

[0027] Figure 2 is a flow chart of a power generation control method for a power system according to an embodiment of the present invention;

[0028] Figure 3 is a flow chart of generating a maintenance strategy according to an embodiment of the present invention;

[0029] Figure 4 is a flow chart of an optional power generation control method for a power system according to an embodiment of the present invention;

[0030] Figure 5 FIG. 1 is a schematic diagram of a power generation control device for a power system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0032] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] As described in the background, wind power output in power systems in related technologies exhibits significant fluctuations, which can easily lead to unstable power system operation. To address these shortcomings, embodiments of the present invention provide a power generation control method and apparatus, as well as a computer-readable storage medium.

[0034] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0035] The method embodiments provided in the embodiments of the present invention can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal for a power generation control method of an electric power system according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1Only one is shown) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0036] The memory 104 can be used to store computer programs, such as software programs and modules of application software, such as the computer program corresponding to the power generation control method of the power system in the embodiment of the present invention. The processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, thereby implementing the above-mentioned method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of such networks may include a wireless network provided by the mobile terminal's telecommunications provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0037] According to an embodiment of the present invention, a method embodiment of a power generation control method for an electric power system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0038] Figure 2 FIG. 1 is a flow chart of a power generation control method for a power system according to an embodiment of the present invention. Figure 2 As shown, the method includes the following steps:

[0039] Step S202: obtaining the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal turbines in the power system.

[0040] In this embodiment, the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal turbines during the current operation of the power system may be first obtained.

[0041] It should be noted that the power system includes but is not limited to various power generation units such as coal-fired power, gas-fired power, hydropower, energy storage, nuclear power, wind power, and photovoltaic power. In the embodiment of the present invention, the analysis is mainly centered on how to achieve the replacement of wind power generation capacity by thermal power while ensuring that reliability indicators are basically consistent. Therefore, only the capacity values ​​of wind power capacity and thermal power capacity in the power system are analyzed here.

[0042] Step S204: Process the unit data of the power system using the unit combination model to obtain the original index value of the power system under wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, and each set of the multiple sets of training data includes: sample unit data and sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the power system.

[0043] Optionally, the above-mentioned unit data may include but is not limited to: technical parameters such as the maximum and minimum technical output, ramp rate, etc. of various types of power sources such as coal-fired power, gas-fired power, hydropower, energy storage, nuclear power, wind power, photovoltaic power, etc. in the power system, historical time series information of load demand and new energy power generation, unit forced outage rate parameters of conventional units, unit maintenance capacity, and maintenance interval information.

[0044] In this embodiment, the acquired unit data can be processed using the unit combination model to obtain original index values ​​of the power system based on wind power access, so as to determine the current operating status of the power system.

[0045] According to the above embodiment of the present invention, before the above step S204, that is, before using the unit combination model to process the unit data of the power system to obtain the original index value of the power system under the current wind power capacity, the power generation control method of the power system also includes: obtaining basic data of each unit in the power system and maintenance information of the unit to be repaired, wherein the basic data is the data used to analyze the original index value in the power system, and the unit to be repaired is the unit that needs to be repaired in the power system; generating a maintenance strategy for the unit to be repaired according to the spare capacity method using the maintenance information; and generating unit data based on the basic data, maintenance information and maintenance strategy.

[0046] Optionally, the above basic data may include but are not limited to: technical parameters such as maximum and minimum technical output, ramp rate, load demand, and historical time series information of renewable energy power generation.

[0047] In this embodiment, the basic data of each unit in the power system, the maintenance information of the units to be maintained in each unit, and the maintenance strategy formulated for the units to be maintained based on the maintenance information can be obtained first, and the unit data of the power system can be composed based on this information to analyze the operating status of the power system.

[0048] In the above embodiment of the present invention, a maintenance strategy for the units to be maintained is generated based on maintenance information using the equal spare capacity method, including: obtaining the unit capacity of the units to be maintained; sorting the unit capacities in descending or ascending order to obtain a sorting result; using the equal spare capacity method to screen out the time period with the highest spare capacity during the operation of the power system, wherein the spare capacity is the power generation capacity to avoid power system failures due to emergency situations; and sequentially maintaining each unit to be maintained within the time period according to the sorting result.

[0049] The following combination Figure 3 The above embodiments of the present invention are described in detail. Figure 3 is a flowchart of generating a maintenance strategy according to an embodiment of the present invention.

[0050] like Figure 3 As shown, first, the units to be repaired during the operation of the power system can be arranged in order according to the unit capacity. There is no specific restriction on the sorting rules here, such as sorting the units to be repaired in descending order according to the unit capacity, or sorting the units to be repaired according to the product of the unit capacity and the maintenance time; then, the equal spare capacity model can be called to filter out the period with the lowest load value in all time periods, that is, the period with the largest net spare capacity of the system, and the total capacity of all units to be repaired can be gradually added and calculated into the total load curve diagram within a specified time according to the order of arrangement, until all units can be repaired.

[0051] Maintenance plans are generally planned in years. For ease of calculation, the entire maintenance cycle can be divided into steps of one week, ten days, or one month, with a total of T time periods t. When divided in ten days, T = 36. A maintenance plan model is established within the corresponding cycle. The equivalent spare capacity method model is established as follows:

[0052] 1) Objective function: The objective function is to make the reserve capacity equal at any two moments, i.e. ΔP a =ΔP b (a, b∈t, t=1, 2,...,T)①, Where ΔP t The net reserve capacity of the system in period t is the remaining reserve capacity after deducting the load and maintenance outage capacity in period t from the total installed capacity of the system; ΔP a / ΔP brepresents the net spare capacity of the system in period a / b; Formula ① indicates that the spare capacity at any two moments is equal; N Th Indicates the number of thermal power units; represents the installed capacity of the i-th thermal power unit; P i mix represents the maintenance capacity of the i-th thermal power unit; P t load Represents the load power during time period t.

[0053] 2) Constraints: Continuity constraints during maintenance periods and maintenance team constraints Where, t k Indicates the maintenance period of the kth generator set to be repaired; m k,t A 0-1 variable representing the maintenance status of the kth generator set to be maintained in period t, where 0 means maintenance in this period, otherwise no maintenance; S = {1, 2, ..., k} represents the set of generator sets to be maintained in the period; T k V represents the maintenance duration of the kth generator set to be repaired; rt Indicates the maximum number of generator sets that can be simultaneously maintained in time period t.

[0054] According to the above embodiment of the present invention, before the above step S204, that is, before using the unit combination model to process the unit data of the power system to obtain the original index value of the power system under the current wind power capacity, the power generation control method of the power system also includes: determining the objective function with the goal of minimizing the operating cost of the power system; constraining the system parameters and operating parameters of each unit during the operation of the power system to obtain constraint conditions, wherein the constraint conditions include at least: power balance constraint, hot standby constraint and component technical constraint; and generating the unit combination model according to the objective function and the constraint conditions.

[0055] In this embodiment, the unit commitment model is mainly used to process the unit data to evaluate the current operating status of the power system. The unit commitment model is established as follows:

[0056] 1) Objective function: The objective function is determined by minimizing the operating cost of the power system. Among them, the operating cost mainly includes the coal consumption of thermal power generation and the start-up and shutdown costs of the units; where N Th Indicates the number of thermal power units, represents the coal consumption cost of thermal power unit i, represents the output of thermal power unit i at time t, represents the startup cost of thermal power unit i, represents the shutdown cost of unit i.

[0057] 2) Constraints: Power balance constraints Hot standby constraints And component technical constraints: output upper and lower limit constraints Hill climbing constraints Minimum shutdown time constraint Minimum boot time constraint Where, N represents the active power output by the i-th renewable energy unit at time t, Th / N new Indicates the number of thermal power units / new energy units, u i,t represents the start and stop status of the i-th thermal power unit at time t, P i,min / P i,max represents the minimum / maximum output power of the i-th thermal power unit, ρ represents the system's spinning reserve coefficient, R u 、R d They represent the maximum upward and downward climbing rates of conventional thermal power units respectively, and TS,TO represent the minimum shutdown / startup time of thermal power units.

[0058] According to the above embodiment of the present invention, in the above step S204, the unit data of the power system is processed using the unit combination model to obtain the original index value of the power system under the current wind power capacity, including: using the unit combination model to process the unit data of the power system to obtain the state value of the power system, wherein the state value at least includes: load value and unit capacity value; according to the load value and the unit capacity value, a power shortage probability value is obtained using a first formula, wherein the first formula is: LOLP=P(P load,t >P gen,t ), LOLP is the probability value of insufficient power, P() is the probability function, P load,t is the load value of the power system in time period t, P gen,t is the unit capacity value of the power system in time period t, and the power shortage probability value is the probability that the load value exceeds the capacity value of all units; the power shortage expected value is obtained by using the second formula based on the power shortage probability value, wherein the second formula is: LOLE = LOLP × T, LOLE is the power shortage expected value, T is the total number of time periods t, and the power shortage expected value is the number of time periods in which the power system cannot meet the load demand; the power shortage expected value is obtained by using the third formula based on the load value and the unit capacity value, wherein the third formula is: EENS is the expected value of power shortage, which is the expected value that the power generation capacity of the power system cannot meet the actual demand during the maintenance cycle; the original indicator value is composed of the power shortage probability value, the power shortage expected value and the power shortage expected value.

[0059] In this embodiment, the unit combination model can be used to simulate the startup mode and processing results of the power system based on the unit data, and then the data required to calculate the original index value can be obtained based on the simulation results: the load situation at each moment, the available generator capacity, the power generation capacity shortage value, and the number of moments when power shortage occurs. These data are then used to calculate the reliability index values ​​such as LOLP, LOLE and EENS when wind power is connected.

[0060] It should be noted that the unit combination model provided in the embodiment of the present invention is used to calculate the reliability index value of the power system. The original index value here and the current index value mentioned below are essentially the reliability index value of the power system. It is just that under different operating conditions of the power system (in this embodiment, it can be before and after using thermal power capacity to replace wind power capacity for power generation), the unit data will also change, so the obtained reliability index value will also be different. Therefore, the original index value and current index value mentioned in this embodiment refer to the corresponding reliability index values ​​of the power system under different operating conditions.

[0061] The following describes the calculation process of reliability index values ​​such as LOLP, LOLE and EENS:

[0062] 1) The power shortage probability value LOLP represents the probability that the system load exceeds the sum of all available generator capacities during the simulation year: LOLP = P(P load,t >P gen,t ), P(·) represents the probability of the event in brackets occurring within the simulation year (i.e., probability function), P load,t represents the system load in the simulated period t of the year (i.e. the load value of the power system in period t), P gen,t It represents the available generator capacity in time period t (i.e. the unit capacity value of the power system in time period t).

[0063] 2) The expected power shortage value LOLE represents the number of hours or days in a simulated year when the system cannot meet the load demand, with the unit being h / year or d / year: LOLE = LOLP × T.

[0064] 3) Expected Energy Shortage EENS represents the expected generation capacity shortage due to component failure or grid constraints during the simulation year, in MWh / year:

[0065] Step S206 , using the unit combination model to process the current unit data of the power system to obtain the current index value of the power system, wherein the current unit data is the unit data after replacing the predetermined value of wind power capacity with thermal power capacity in the power system.

[0066] In this embodiment, in the process of gradually replacing wind power capacity with thermal power capacity for power generation, the unit data of the power system will change each time the replacement is made. Therefore, the unit model can be used to process the current data of the power system in real time to obtain the current indicator value of the power system to evaluate the current operating status of the power system.

[0067] According to the above embodiment of the present invention, before the above step S206, that is, before using the unit combination model to process the current unit data of the power system to obtain the current indicator value of the power system, the power generation control method of the power system also includes: increasing the thermal power capacity of the thermal power unit to replace the predetermined value of wind power capacity to continue to control the power system to generate electricity; and obtaining the current unit data of the power system.

[0068] In this embodiment, using thermal power capacity to replace wind power capacity for power generation is actually a gradual replacement process, because it is necessary to ensure that the operating state of the power system before and after the replacement is consistent, that is, the deviation between the original indicator value and the current indicator value is within the fault tolerance range. Therefore, the replacement operation here is an operation that needs to be repeated. Each time it is executed, it is necessary to judge whether the deviation between the current indicator value and the original indicator value meets the requirements. Until the requirements are met, it means that the specific amount of thermal power capacity that can replace the wind power capacity for power generation to make the operating state of the power system consistent before and after the replacement is found, which is equivalent to achieving an equivalent replacement between wind power capacity and thermal power capacity.

[0069] Each time a replacement operation is performed, the specific amount of thermal power capacity to be increased and the specific amount of wind power capacity to be reduced to achieve the replacement in order to continue the power generation operation can be selected according to actual conditions and is not specifically limited here.

[0070] Step S208: When it is determined that the deviation between the current index value and the original index value is less than the deviation threshold, the thermal power capacity increment and wind power capacity decrement of the power system are obtained, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity and the thermal power capacity of the power system when the deviation is less than the deviation threshold, and the wind power capacity decrement is the deviation value between the current wind power capacity and the wind power capacity of the power system when the deviation is less than the deviation threshold.

[0071] In this embodiment, in the process of using thermal power capacity to replace wind power capacity for power generation, if the deviation between the current indicator value and the original indicator value is less than the deviation threshold, the deviation between the thermal power capacity and wind power capacity at this time and the thermal power capacity and wind power capacity before the replacement operation is performed can be recorded.

[0072] Step S210 , using the thermal power capacity increase to replace the wind power capacity decrease to control the power system to generate electricity.

[0073] In this embodiment, the increase in thermal power capacity is used to replace the decrease in wind power capacity for power generation. While ensuring the consistency of reliability index values, the equivalent replacement of thermal power with wind power generation is achieved, thereby improving the stability of power system operation.

[0074] According to the above embodiment of the present invention, in the above step S210, the increase in thermal power capacity is used to equivalently replace the decrease in wind power capacity to control the power system to generate electricity, including: determining the thermal power generation capacity corresponding to the increase in thermal power capacity; determining the wind power generation capacity corresponding to the decrease in wind power capacity; and replacing the wind power generation capacity with the thermal power generation capacity to control the power system to generate electricity.

[0075] In this embodiment, the specific value of the thermal power generation capacity corresponding to the increase in thermal power capacity and the specific value of the wind power generation capacity corresponding to the decrease in wind power capacity can be determined, which is equivalent to obtaining an equivalent replacement result: how much thermal power capacity can replace the wind power capacity for power generation to make the operating state of the power system consistent before and after the replacement.

[0076] As can be seen from the above, through the technical solution provided by the above embodiment of the present invention, the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal power units in the power system can be obtained; the unit combination model is used to process the unit data of the power system to obtain the original index value of the power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, and each set of the multiple sets of training data includes: sample unit data, sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the power system; the unit combination model is used to process the current unit data of the power system to obtain the current index value of the power system, wherein the current unit data is the unit data after the predetermined value of wind power capacity is replaced by thermal power capacity in the power system; after determining the difference between the current index value and the original index value, the current unit data is obtained. When the deviation between the initial index values ​​is less than the deviation threshold, the thermal power capacity increment and wind power capacity reduction of the power system are obtained, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity and the thermal power capacity of the power system when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity and the wind power capacity of the power system when the deviation is less than the deviation threshold; the thermal power capacity increment is used to replace the wind power capacity reduction to control the power system to generate electricity, thereby achieving the purpose of determining the thermal power capacity value that can equivalently replace the wind power capacity for power generation by comparing the original index value of the power system under wind power capacity and the current index value of the power system under the use of thermal power capacity and wind power capacity, achieving the technical effect of using thermal power capacity to equivalently replace wind power capacity for power generation under the premise of ensuring the reliable operation of the power system, and improving the stability of the power system operation.

[0077] Therefore, the technical solution provided by the above-mentioned embodiment of the present invention solves the technical problem in the related art that the wind power output of the power system has obvious fluctuations, which easily causes unstable operation of the power system.

[0078] The following combination Figure 4 Another embodiment of the present invention is described in detail. Figure 4 is a flow chart of an optional power generation control method of a power system according to an embodiment of the present invention.

[0079] like Figure 4 As shown in the figure, firstly, the unit data of the power system is obtained, and the maintenance plan of the unit in the simulation year is formulated according to the unit data using the equal reserve capacity method; then, corresponding planning schemes are generated for the units based on wind power access and replacing wind power with thermal power access, respectively. When replacing wind power with thermal power, random faults of the unit need to be added, and the conventional unit adopts a two-state model to obtain the equivalent capacity calculation result considering the random faults of the conventional unit. Considering that the forced outage rate of the unit is fixed, the fault sequence changes of all units in the entire simulation year are obtained by cyclic sampling; then, the unit combination simulation power supply is carried out according to the maintenance plan, wind power planning scheme or virtual thermal power unit scheme. The operation of the power system is simulated to obtain the startup mode and output results of various types of units. Then, based on the simulation results, the load situation at each moment, available generator capacity, power generation capacity shortage value, number of moments of power shortage and other data required for calculating reliability index values ​​are determined, and reliability index values ​​such as LOLP, LOLE, and EENS are calculated. Finally, the difference between the reliability indicators of the two schemes is compared to see whether it meets the requirements. If the requirements are met, the result of the virtual thermal power capacity equivalently replaced by reliability is output, that is, how much thermal power capacity should be used to replace the wind power capacity for power generation to make the power system's operating status consistent before and after the replacement.

[0080] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0081] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0082] According to an embodiment of the present invention, there is also provided a power generation control device for a power system for implementing the power generation control method of the power system. Figure 5 is a schematic diagram of a power generation control device for a power system according to an embodiment of the present invention. Figure 5 As shown, the device includes: a first acquisition unit 51, a second acquisition unit 53, a third acquisition unit 55, a fourth acquisition unit 57 and a control unit 59. The power generation control device of the power system is described in detail below.

[0083] The first acquisition unit 51 is configured to acquire the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal turbines in the power system.

[0084] The second acquisition unit 53 is used to process the unit data of the power system using the unit combination model to obtain the original index value of the power system under the wind power capacity, wherein the unit combination model is trained using multiple sets of training data through machine learning, and each set of the multiple sets of training data includes: sample unit data, and sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the power system.

[0085] The third acquisition unit 55 is used to process the current unit data of the power system using the unit combination model to obtain the current indicator value of the power system, wherein the current unit data is the unit data after the wind power capacity of the predetermined value is replaced by the thermal power capacity in the power system.

[0086] The fourth acquisition unit 57 is used to obtain the thermal power capacity increase and wind power capacity reduction of the power system when it is determined that the deviation between the current index value and the original index value is less than the deviation threshold, wherein the thermal power capacity increase is the deviation value between the current thermal power capacity and the thermal power capacity of the power system when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity and the wind power capacity of the power system when the deviation is less than the deviation threshold.

[0087] The control unit 59 is configured to utilize the thermal power capacity increase to replace the wind power capacity decrease to control the power system to generate electricity.

[0088] It should be noted here that the above-mentioned first acquisition unit 51, second acquisition unit 53, third acquisition unit 55, fourth acquisition unit 57 and control unit 59 correspond to steps S202 to S210 in the above-mentioned embodiments. The five units have the same instances and application scenarios as the corresponding steps, but are not limited to the contents disclosed in the above-mentioned embodiments.

[0089] From the above, it can be seen that in the scheme recorded in the above embodiment of the present invention, the first acquisition unit can be used to obtain the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal power units in the power system; then the second acquisition unit is used to process the unit data of the power system using the unit combination model to obtain the original index value of the power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, and each set of the multiple sets of training data includes: sample unit data, sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the power system; then the third acquisition unit is used to process the current unit data of the power system using the unit combination model to obtain the current index value of the power system, wherein the current unit data is the unit data after the predetermined value of the wind power capacity is replaced by the thermal power capacity in the power system; and then the fourth acquisition unit is used to process the current unit data of the power system using the unit combination model to obtain the current index value of the power system, wherein the current unit data is the unit data after the predetermined value of the wind power capacity is replaced by the thermal power capacity in the power system; and then the fourth acquisition unit is used to process the current unit data of the power system using the unit combination model to obtain the current index value of the power system. When determining that the deviation between the current index value and the original index value is less than the deviation threshold, the acquisition unit obtains the thermal power capacity increment and wind power capacity reduction of the power system, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity and the thermal power capacity of the power system when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity and the wind power capacity of the power system when the deviation is less than the deviation threshold; finally, the control unit uses the thermal power capacity increment to replace the wind power capacity reduction to control the power system to generate electricity, thereby achieving the purpose of determining the thermal power capacity value that can equivalently replace the wind power capacity for power generation by comparing the original index value of the power system under wind power capacity and the current index value of the power system under the use of thermal power capacity and wind power capacity, achieving the technical effect of using thermal power capacity to equivalently replace wind power capacity for power generation under the premise of ensuring the reliable operation of the power system, and improving the stability of the power system operation.

[0090] Therefore, the technical solution provided by the above-mentioned embodiment of the present invention solves the technical problem in the related art that the wind power output of the power system has obvious fluctuations, which easily causes unstable operation of the power system.

[0091] Optionally, the power generation control device of the power system also includes: a fifth acquisition unit, which is used to obtain basic data of each unit in the power system and maintenance information of the units to be repaired before using the unit combination model to process the unit data of the power system to obtain the original index value of the power system under the current wind power capacity, wherein the basic data is the data used to analyze the original index value in the power system, and the units to be repaired are the units that need to be repaired in the power system; a first generation unit, which is used to generate a maintenance strategy for the units to be repaired according to the spare capacity method such as maintenance information utilization; and a second generation unit, which is used to generate unit data based on the basic data, maintenance information and maintenance strategy.

[0092] Optionally, the first generation unit includes: a first acquisition module for acquiring the unit capacity of the unit to be repaired; a second acquisition module for sorting the unit capacity in descending order or ascending order to obtain a sorting result; a sorting module for using the equal spare capacity method to screen out the time period with the highest spare capacity during the operation of the power system, wherein the spare capacity is the power generation capacity to avoid power system failure due to an emergency; and a maintenance module for repairing each unit to be repaired in sequence within the time period according to the sorting result.

[0093] Optionally, the power generation control device of the power system also includes: a determination unit, which is used to process the unit data of the power system using the unit combination model to obtain the original index value of the power system under the current wind power capacity, with the goal of minimizing the operating cost of the power system; a sixth acquisition unit, which is used to constrain the system parameters and operating parameters of each unit during the operation of the power system to obtain constraint conditions, wherein the constraint conditions include at least: power balance constraints, hot standby constraints and component technical constraints; a third generation unit, which is used to generate the unit combination model according to the objective function and the constraint conditions.

[0094] Optionally, the second acquisition unit includes: a third acquisition module, configured to process the unit data of the power system using the unit combination model to obtain a state value of the power system, wherein the state value at least includes: a load value and a unit capacity value; a fourth acquisition module, configured to obtain a power shortage probability value using a first formula according to the load value and the unit capacity value, wherein the first formula is: LOLP=P(P load,t >P gen,t ), LOLP is the probability value of insufficient power, P() is the probability function, P load,t is the load value of the power system in time period t, P gen,tis the unit capacity value of the power system in time period t, and the power shortage probability value is the probability that the load value exceeds the capacity values ​​of all units; the fifth acquisition module is used to obtain the power shortage expected value using the second formula according to the power shortage probability value, wherein the second formula is: LOLE=LOLP×T, LOLE is the power shortage expected value, T is the total number of time periods t, and the power shortage expected value is the number of time periods in which the power system cannot meet the load demand; the sixth acquisition module is used to obtain the power shortage expected value using the third formula according to the load value and the unit capacity value, wherein the third formula is: EENS is the expected value of power shortage, which is the expected value that the power generation capacity of the power system cannot meet the actual demand during the maintenance cycle; the composition module is used to form the original indicator value based on the power shortage probability value, the power shortage expected value and the power shortage expected value.

[0095] Optionally, the power generation control device of the power system also includes: a replacement unit, which is used to increase the thermal power capacity of the thermal power unit before using the unit combination model to process the current unit data of the power system to obtain the current indicator value of the power system, so as to replace the predetermined value of wind power capacity to continue to control the power system to generate electricity; a seventh acquisition unit, which is used to obtain the current unit data of the power system.

[0096] Optionally, the control unit includes: a first determination module, used to determine the thermal power generation capacity corresponding to the thermal power capacity increase; a second determination module, used to determine the wind power generation capacity corresponding to the wind power capacity reduction; and a control module, used to use the thermal power generation capacity to replace the wind power generation capacity to control the power system to generate electricity.

[0097] According to another aspect of an embodiment of the present invention, a power generation control system of an electric power system is provided. The power generation control system of the electric power system uses any one of the above-mentioned power generation control methods of the electric power system.

[0098] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored program, wherein the program executes any one of the above-mentioned power generation control methods for a power system.

[0099] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the communication devices in a communication device group.

[0100] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: obtaining the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal power units in the power system; processing the unit data of the power system using the unit combination model to obtain the original index value of the power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, and each set of the multiple sets of training data includes: sample unit data, sample original index values ​​corresponding to the sample unit data, and the original index values ​​are used to evaluate the operating status of the power system; and processing the unit combination model of the power system using the unit combination model to obtain the original index value of the power system under the wind power capacity. The current unit data is processed to obtain the current index value of the power system, wherein the current unit data is the unit data after the wind power capacity of the predetermined value is replaced by the thermal power capacity in the power system; when it is determined that the deviation between the current index value and the original index value is less than the deviation threshold, the thermal power capacity increment and wind power capacity reduction of the power system are obtained, wherein the thermal power capacity increment is the deviation value between the current thermal power capacity and the thermal power capacity of the power system when the deviation is less than the deviation threshold, and the wind power capacity reduction is the deviation value between the current wind power capacity and the wind power capacity of the power system when the deviation is less than the deviation threshold; the thermal power capacity increment is used to replace the wind power capacity reduction to control the power system to generate electricity.

[0101] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: obtaining basic data of each unit in the power system and maintenance information of the unit to be maintained, wherein the basic data is data used to analyze original indicator values ​​in the power system, and the unit to be maintained is a unit that needs to be maintained in the power system; generating a maintenance strategy for the unit to be maintained based on the spare capacity method using maintenance information; and generating unit data based on the basic data, maintenance information and maintenance strategy.

[0102] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: obtaining the unit capacity of the unit to be repaired; sorting the unit capacity in descending order or ascending order to obtain a sorting result; using the equal spare capacity method to screen out the time period with the highest spare capacity during the operation of the power system, wherein the spare capacity is the power generation capacity to avoid power system failure due to an emergency; and repairing each unit to be repaired in turn within the time period according to the sorting result.

[0103] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: determining an objective function with the goal of minimizing the operating cost of the power system; constraining the system parameters and operating parameters of each unit during the operation of the power system to obtain constraint conditions, wherein the constraint conditions include at least: power balance constraints, hot standby constraints and component technical constraints; and generating a unit combination model based on the objective function and the constraint conditions.

[0104] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: processing the unit data of the power system using the unit combination model to obtain a state value of the power system, wherein the state value at least includes: a load value and a unit capacity value; obtaining a power shortage probability value according to the load value and the unit capacity value using a first formula, wherein the first formula is: LOLP=P(P load,t >P gen,t ), LOLP is the probability value of insufficient power, P() is the probability function, P load,t is the load value of the power system in time period t, P gen,t is the unit capacity value of the power system in time period t, and the power shortage probability value is the probability that the load value exceeds the capacity value of all units; the power shortage expected value is obtained by using the second formula based on the power shortage probability value, wherein the second formula is: LOLE = LOLP × T, LOLE is the power shortage expected value, T is the total number of time periods t, and the power shortage expected value is the number of time periods in which the power system cannot meet the load demand; the power shortage expected value is obtained by using the third formula based on the load value and the unit capacity value, wherein the third formula is: EENS is the expected value of power shortage, which is the expected value that the power generation capacity of the power system cannot meet the actual demand during the maintenance cycle; the original indicator value is composed of the power shortage probability value, the power shortage expected value and the power shortage expected value.

[0105] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: increasing the thermal power capacity of the thermal power unit to replace the predetermined value of wind power capacity to continue controlling the power system to generate electricity; and obtaining current unit data of the power system.

[0106] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: determining the thermal power generation capacity corresponding to the thermal power capacity increase; determining the wind power generation capacity corresponding to the wind power capacity decrease; and replacing the wind power generation capacity with the thermal power generation capacity to control the power system to generate electricity.

[0107] According to another aspect of an embodiment of the present invention, a processor is further provided, and the processor is configured to run a program, wherein when the program is run, any one of the above-mentioned power generation control methods for a power system is executed.

[0108] According to another aspect of an embodiment of the present invention, a computer program product is provided, comprising computer instructions, which, when executed by a processor, execute any one of the above-mentioned methods for controlling power generation in a power system.

[0109] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0110] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0111] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0112] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0113] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0115] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A power generation control method for a power system, characterized in that: include: Obtaining the wind power capacity generated by wind turbines and the thermal power capacity generated by thermal power units in the power system; Processing the unit data of the power system using a unit combination model to obtain original index values ​​of the power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, each of the multiple sets of training data including: sample unit data and sample original index values ​​corresponding to the sample unit data, wherein the original index values ​​are used to evaluate the operating status of the power system; Processing current unit data of the power system using the unit combination model to obtain a current indicator value of the power system, wherein the current unit data is unit data of the power system after replacing a predetermined value of the wind power capacity with the thermal power capacity; When it is determined that the deviation between the current indicator value and the original indicator value is less than a deviation threshold, obtaining a thermal power capacity increment and a wind power capacity decrement of the power system, wherein the thermal power capacity increment is a deviation value between the current thermal power capacity of the power system and the thermal power capacity when the deviation is less than the deviation threshold, and the wind power capacity decrement is a deviation value between the current wind power capacity of the power system and the wind power capacity when the deviation is less than the deviation threshold; Using the thermal power capacity increase to replace the wind power capacity decrease to control the power system to generate electricity; The unit data of the power system is processed using a unit combination model to obtain original index values ​​of the power system under the current wind power capacity, including: Processing the unit data of the power system using the unit combination model to obtain a state value of the power system, wherein the state value at least includes: a load value and a unit capacity value; A power shortage probability value is obtained according to the load value and the unit capacity value using a first formula, wherein the first formula is: , LOLP is the power shortage probability value, P() is the probability function, is the load value of the power system in time period t, is the unit capacity value of the power system in time period t, and the power shortage probability value is the probability that the load value exceeds the capacity values ​​of all the units; The power shortage expected value is obtained using a second formula according to the power shortage probability value, wherein the second formula is: LOLE is the expected power shortage value, T is the total number of time periods t, and the expected power shortage value is the number of time periods in which the power system cannot meet the load demand; The expected power shortage value is obtained using a third formula according to the load value and the unit capacity value, wherein the third formula is: EENS is the expected value of insufficient electricity, which is the expected value at which the power generation capacity of the power system cannot meet the actual demand during the maintenance period; The original indicator value is composed based on the power shortage probability value, the power shortage expected value and the power shortage expected value.

2. The power generation control method of the power system according to claim 1, characterized in that: Before processing the unit data of the power system using the unit combination model to obtain the original index value of the power system under the current wind power capacity, the method further includes: Obtaining basic data of each unit in the power system and maintenance information of the unit to be repaired, wherein the basic data is data in the power system used to analyze the original indicator value, and the unit to be repaired is a unit in the power system that needs to be repaired; generating a maintenance strategy for the unit to be maintained by using an equal spare capacity method according to the maintenance information; The unit data is generated based on the basic data, the maintenance information and the maintenance strategy.

3. The power generation control method of the power system according to claim 2, characterized in that: Generating a maintenance strategy for the unit to be maintained using the equal spare capacity method according to the maintenance information, including: Obtaining the unit capacity of the unit to be repaired; Sorting the unit capacities in descending order or ascending order to obtain a sorting result; Using the equal reserve capacity method to select a period of time during the operation of the power system with the highest reserve capacity, wherein the reserve capacity is the power generation capacity to avoid failure of the power system due to an emergency; Each of the units to be repaired is repaired in sequence within the time period according to the sorting results.

4. The power generation control method of the power system according to claim 1, characterized in that: Before processing the unit data of the power system using the unit combination model to obtain the original index value of the power system under the current wind power capacity, the method further includes: Determining an objective function with the goal of minimizing the operating cost of the power system; Constraining system parameters and operating parameters of each unit during the operation of the power system to obtain constraint conditions, wherein the constraint conditions at least include: power balance constraint, hot standby constraint and component technology constraint; The unit commitment model is generated according to the objective function and the constraint conditions.

5. The power generation control method of the power system according to claim 1, characterized in that: Before processing the current unit data of the power system using the unit commitment model to obtain the current indicator value of the power system, the method further includes: increasing the thermal power capacity of the thermal power generating unit to replace the predetermined wind power capacity to continue controlling the power system to generate electricity; Acquire the current unit data of the power system.

6. The power generation control method of the power system according to claim 1, characterized in that: Using the thermal power capacity increase to equivalently replace the wind power capacity decrease to control the power system to generate electricity, comprising: Determining the thermal power generation capacity corresponding to the thermal power capacity increment; Determining the wind power generation capacity corresponding to the wind power capacity reduction; The thermal power generation capacity is used to replace the wind power generation capacity to control the power system to generate electricity.

7. A power generation control device for an electric power system, characterized in that: include: A first acquisition unit is used to acquire the wind power capacity generated by the wind turbines and the thermal power capacity generated by the thermal turbines in the power system; a second acquisition unit, configured to process the unit data of the power system using a unit combination model to obtain original index values ​​of the power system under the wind power capacity, wherein the unit combination model is trained by machine learning using multiple sets of training data, each of the multiple sets of training data including: sample unit data and sample original index values ​​corresponding to the sample unit data, the original index values ​​being used to evaluate the operating status of the power system; a third acquiring unit, configured to process current unit data of the power system using the unit combination model to obtain a current indicator value of the power system, wherein the current unit data is unit data of the power system after replacing the predetermined wind power capacity with the thermal power capacity; a fourth acquiring unit, configured to acquire, when it is determined that the deviation between the current indicator value and the original indicator value is less than a deviation threshold, a thermal power capacity increment and a wind power capacity decrement of the power system, wherein the thermal power capacity increment is a deviation value between the current thermal power capacity of the power system and the thermal power capacity when the deviation is less than the deviation threshold, and the wind power capacity decrement is a deviation value between the current wind power capacity of the power system and the wind power capacity when the deviation is less than the deviation threshold; a control unit, configured to utilize the thermal power capacity increase to replace the wind power capacity decrease to control the power system to generate electricity; The second acquisition unit includes: a third acquisition module for processing the unit data of the power system using the unit combination model to obtain a state value of the power system, wherein the state value includes at least a load value and a unit capacity value; and a fourth acquisition module for obtaining a power shortage probability value using a first formula based on the load value and the unit capacity value, wherein the first formula is: , LOLP is the power shortage probability value, P() is the probability function, is the load value of the power system in time period t, is the unit capacity value of the power system in time period t, and the power shortage probability value is the probability that the load value exceeds the capacity values ​​of all the units; a fifth acquisition module is used to obtain the power shortage expected value according to the power shortage probability value using a second formula, wherein the second formula is: , LOLE is the expected power shortage value, T is the total number of the time periods t, and the expected power shortage value is the number of time periods in which the power system cannot meet the load demand; a sixth acquisition module is used to obtain the expected power shortage value according to the load value and the unit capacity value using a third formula, wherein the third formula is: EENS is the expected value of power shortage, and the expected value of power shortage is the expected value that the power generation capacity of the power system cannot meet the actual demand during the maintenance period; a composition module is used to compose the original indicator value based on the power shortage probability value, the power shortage expected value and the power shortage expected value.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein the program executes the power generation control method of the electric power system according to any one of claims 1 to 6.

9. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by a processor, the power generation control method of the power system according to any one of claims 1 to 6 is performed.

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