Comprehensive energy power and electric quantity balance analysis method of power grid and electronic equipment

Abstract

The invention relates to the technical field of power grids, and provides a comprehensive energy power and electric quantity balance analysis method of a power grid and electronic equipment. Comprising the steps of collecting typical daily load process data and load reserve rate data of a power grid; calculating a typical daily reserve load process based on the typical daily load process and the load reserve rate; deducting wind power, photovoltaic power, out-of-province power receiving, out-of-province power transmission and nuclear power from the typical daily standby load process to obtain a typical daily equivalent load process; constructing a power grid peak regulation model based on a peak regulation power supply, and determining a power grid residual load process in combination with a typical daily equivalent load process; based on the power grid residual load process, determining a thermal power station unit output process; and determining power grid residual power based on the thermal power station unit output process and the power grid residual load process, and performing power and electric quantity balance analysis based on the power grid residual power to obtain an analysis result. The method can accurately simulate power supply operation such as source, network, load and storage, improves electric power and electric quantity balance simulation analysis level, and guarantees safe and stable operation of an electric power system.

Description

Technical Field

[0001] The present invention relates to the technical field of power grids, and particularly to a method for analyzing the comprehensive energy power and electricity balance of a power grid and an electronic device. Background Art

[0002] With the construction of a new power system, the proportion of renewable energy installed capacity has been continuously increasing. However, due to the significant differences in the randomness, volatility, and predictability of new energy output compared with traditional energy, this has an adverse impact on the power and electricity balance of a power system with a high proportion of renewable energy access, resulting in prominent problems of efficient consumption of renewable energy and safe and stable operation of the power system.

[0003] In addition, the increasing penetration rate of new renewable energy in the power grid is accompanied by the large-scale access of new power generation and energy storage facilities, which poses higher requirements for power and electricity balance simulation. How to accurately construct resource models for various types of sources, grids, loads, and energy storage, a method for analyzing the power and electricity balance that reflects the power and electricity supply and demand balance system of the power system, and improving the level of power and electricity balance simulation analysis are urgent problems to be solved in a new power system containing a high proportion of renewable energy.

[0004] In view of this, there is an urgent need for a comprehensive energy power and electricity balance analysis method for provincial power grids that can accurately simulate the operation of various types of power sources such as sources, grids, loads, and energy storage to improve the level of power and electricity balance simulation analysis. Summary of the Invention

[0005] In view of this, the embodiments of the present application provide a method for analyzing the comprehensive energy power and electricity balance of a power grid and an electronic device, which can accurately simulate the operation of various types of power sources such as sources, grids, loads, and energy storage, evaluate the power and electricity supply and demand situation of the power grid, improve the level of power and electricity balance simulation analysis, and ensure the safe and stable operation of the power system.

[0006] The first aspect of the embodiments of the present application provides a method for analyzing the comprehensive energy power and electricity balance of a power grid, including:

[0007] Collect the typical daily load process data and load reserve rate data of the power grid;

[0008] Calculate the typical daily reserve load process based on the typical daily load process and the load reserve rate;

[0009] Deduct wind power, photovoltaic power, power received from other provinces, power transmitted out, and nuclear power from the typical daily reserve load process to obtain the typical daily equivalent load process;

[0010] Build a power grid peak shaving model based on peak shaving power sources, and combine it with the typical daily equivalent load process to determine the remaining load process of the power grid;

[0011] Determine the output process of thermal power plant units based on the remaining load process of the power grid;

[0012] Based on the output process of the thermal power plant unit and the residual load process of the power grid, determine the residual power of the power grid, and perform power and electricity balance analysis based on the residual power of the power grid to obtain the analysis result.

[0013] The second aspect of the embodiments of the present application provides a comprehensive energy power and electricity balance analysis device for a power grid, including:

[0014] A data acquisition module, configured to collect the typical daily load process data and load reserve rate data of the power grid;

[0015] A standby load calculation module, configured to calculate the typical daily standby load process based on the typical daily load process and the load reserve rate;

[0016] An equivalent load calculation module, configured to subtract wind power, photovoltaic power, power received from other provinces, power transmitted out, and nuclear power from the typical daily standby load process to obtain the typical daily equivalent load process;

[0017] A power grid peak shaving model construction module, configured to construct a power grid peak shaving model based on peak shaving power sources, and combine with the typical daily equivalent load process to determine the residual load process of the power grid;

[0018] A thermal power plant unit output calculation module, configured to determine the output process of the thermal power plant unit based on the residual load process of the power grid;

[0019] An analysis module, configured to determine the residual power of the power grid based on the output process of the thermal power plant unit and the residual load process of the power grid, and perform power and electricity balance analysis based on the residual power of the power grid to obtain the analysis result.

[0020] The third aspect of the embodiments of the present application provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the electronic device implements the comprehensive energy power and electricity balance analysis method for the power grid provided in the first aspect of the embodiments of the present application.

[0021] The fourth aspect of the embodiments of the present application provides a computer program product, including a computer program, and when the computer program is run, the method described in the first aspect of the embodiments of the present application is executed.

[0022] The comprehensive energy power and electricity balance analysis method for the power grid provided in the first aspect of the embodiments of the present application constructs a power grid peak shaving model based on the consumption order of each power source and the peak shaving power sources by considering the operation constraint conditions of various types of power sources such as wind power, photovoltaic power, power received from other provinces, power sent out, nuclear power, and thermal power. It effectively exerts the excellent regulation role of peak shaving power sources such as hydropower, gas power, and pumped storage power stations, meets the demand for the flexible regulation ability of the power grid, realizes the coordinated and optimized operation of each power source in the power system, and has the advantages of scientific rationality and high reliability.

[0023] It can be understood that the beneficial effects of the above second aspect to the fourth aspect can be referred to the relevant descriptions in the above first aspect, and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0025] Figure 1 is a schematic flowchart of a comprehensive energy power and electricity balance analysis method for the power grid provided by an embodiment of the present application;

[0026] Figure 2 is a schematic flowchart of a comprehensive energy power and electricity balance analysis method for the power grid provided by another embodiment of the present application;

[0027] Figure 3 is a typical daily power and electricity balance diagram of the power grid provided by an embodiment of the present application;

[0028] Figure 4 is a schematic structural diagram of a comprehensive energy power and electricity balance analysis device for the power grid provided by an embodiment of the present application;

[0029] Figure 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0031] It should be understood that when used in the specification of this application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0032] Reference to "one embodiment" or "some embodiments" etc. described in the specification of this application means that a specific feature, structure or characteristic described in connection with that embodiment is included in one or more embodiments of this application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments" etc. that appear at different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in another way. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in another way.

[0033] The comprehensive energy power and electricity balance analysis method for the power grid provided by the embodiments of this application can be executed by the processor of an electronic device when running a computer program with corresponding functions. By considering the operation constraint conditions of various types of power sources such as wind power, photovoltaic power, power received from other provinces, power transmitted out, nuclear power, and thermal power, a power grid peak shaving model is constructed based on the accommodation order of each power source and the peak shaving power sources, effectively exerting the excellent regulation role of peak shaving power sources such as hydropower, gas power, and pumped storage power stations, meeting the demand for the flexible regulation ability of the power grid, and realizing the coordinated and optimized operation of each power source in the power system, having the advantages of being scientific, reasonable, and highly reliable.

[0034] As Figure 1 shown, the comprehensive energy power and electricity balance analysis method for the power grid provided by the embodiments of this application includes the following steps S101 to S106:

[0035] Step S101, collect the typical daily load process data and load reserve rate data of the power grid.

[0036] Step S102, calculate the typical daily reserve load process based on the typical daily load process and the load reserve rate.

[0037] Step S103, deduct wind power, photovoltaic power, power received from other provinces, power transmitted out, and nuclear power from the typical daily reserve load process to obtain the typical daily equivalent load process.

[0038] Step S104, construct a power grid peak shaving model based on the peak shaving power sources, and combine with the typical daily equivalent load process to determine the remaining load process of the power grid.

[0039] Step S105, determine the output process of the thermal power plant units based on the remaining load process of the power grid.

[0040] Step S106: Determine the remaining grid power based on the output process of the thermal power plant unit and the remaining load process of the power grid, and perform power and energy balance analysis based on the remaining grid power to obtain the analysis result.

[0041] In one embodiment, step S101 specifically includes collecting at least one type of data among the typical daily load process data of the power grid, load reserve rate data, wind power process, photovoltaic process, power receiving process, power transmission process, nuclear power process, thermal power unit capacity and minimum technical output, gas power installed capacity and minimum output, pumped storage installed capacity and energy conversion efficiency, forced hydropower output, average hydropower output, and hydropower planned output.

[0042] The embodiments of the present application collect the above-mentioned multiple types of data, which not only enriches the data sources for analysis but also enables the model to more comprehensively consider various influencing factors, especially the randomness and volatility of renewable energy, improving the simulation accuracy and adaptability to actual situations.

[0043] In one embodiment, in step S102, the calculation formula for the typical daily reserve load process is:

[0044]

[0045] where is the typical daily reserve load process, MW; β is the load reserve rate, D t is the typical daily load process.

[0046] In one embodiment, in step S103, subtract wind power, photovoltaic power, power received from other provinces, power transmitted out, and nuclear power from the typical daily reserve load process to obtain the typical daily equivalent load process, including:

[0047] According to the formula calculate the typical daily equivalent load process;

[0048] where P t equal is the typical daily equivalent load process, MW; is the typical daily reserve load process, MW; P t wind is the wind power output of the power grid at time period t, MW; P t solar is the photovoltaic power output of the power grid at time period t, MW; P t send is the power transmitted out of the power grid at time period t, MW; P t receive is the power received from other provinces by the power grid at time period t, MW; P t nuclear is the typical nuclear power process of the power grid at time period t, MW.

[0049] In one embodiment, in step S104, a grid peak shaving model is constructed based on peak shaving power sources, and the grid residual load process is determined in combination with the equivalent load process of a typical day, including:

[0050] According to the operating characteristics of peak shaving power sources and considering the operating constraints of peak shaving power sources, a grid peak shaving model is constructed with the minimum sum of squares of the grid residual load as the objective function;

[0051] According to the formula P t equal -P t hydro -P t dis +P t ch -P t gas =P t res , the grid residual load process is determined;

[0052] Among them, the peak shaving power sources include hydropower stations, gas power stations and pumped-storage power stations;

[0053] P t res is the grid residual load process, MW; P t equal is the equivalent load process of a typical day, MW; P t hydro is the output of the hydropower station at time t, MW; P t dis is the output of the pumped-storage power station in the power generation mode, MW; P t ch is the output of the pumped-storage power station in the pumping mode, MW; P t gas is the output of the gas power station at time t, MW.

[0054] In one embodiment, in step S104, the operating constraints of the peak shaving power sources include:

[0055] Average output constraint of hydropower station:

[0056] Among them, t is the calculation period of a typical day, t = 0, 1, 2,..., T; T is the set of all calculation periods of a typical day;

[0057] is the average output of the hydropower station, MW;

[0058] Output constraint of hydropower station:

[0059] Among them, P thydro is the output of the hydropower station at time period t, in MW; is the foreseen output of the hydropower station, in MW; is the forced output of the hydropower station, in MW;

[0060] Operating condition constraints of the pumped-storage power station: μ t +ν t = 1;

[0061] where, μ t is a binary variable representing the power generation condition state of the power station at time period t. If μ = 1, it means the power station is generating electricity; otherwise, it is 0; v t is a binary variable representing the pumping condition state of the power station at time period t. If ν = 1, it means the power station is pumping water; otherwise, it is 0;

[0062] Energy time-sequence coupling constraints of the pumped-storage power station:

[0063] where, is the energy of the pumped-storage power station at time period t, in MW·h; P t ch is the pumping output of the pumped-storage power station, in MW; P t dis is the power generation output of the pumped-storage power station, in MW; η is the energy conversion efficiency of the pumped-storage power station, and Δt is the calculation time period, in h;

[0064] Initial and final energy constraints of the pumped-storage power station: E 0 = E init , E T = E end ;

[0065] where, E init is the energy of the pumped-storage power station at the beginning of the time period, in MW·h; E end is the energy of the pumped-storage power station at the end of the time period, in MW·h;

[0066] Charging and discharging capacity constraints of the pumped-storage power station: P t ch ≤ν t ×N ph , P t dis ≤μ t ×N ph ;

[0067] where, N ph is the installed capacity of the pumped-storage power station;

[0068] Output limit constraints of the gas power station:

[0069] where, Ngas is the installed capacity of the gas power station, MW; P t gas is the output of the gas power station at time period t, MW; is the minimum output of the gas power station, MW;

[0070] Gas-electric energy constraint:

[0071] Among them, is the maximum power generation energy of the gas power station;

[0072] Grid residual load constraint: P t equal -P t hydro -P t dis +P t ch -P t gas =P t res .

[0073] In one embodiment, in step S104, the objective function with the minimum sum of squares of the grid residual load is:

[0074] In one embodiment, in step S105, based on the grid residual load process, determining the output process of the thermal power plant units includes:

[0075] Arranging the coal-fired power units in the grid to participate in the power and electricity balance, considering the operation constraints of the thermal power units for the grid residual load process, and taking the minimum shortage of electricity within a typical day as the optimization objective to determine the operation status of the thermal power plant units and the output process of the thermal power plant units.

[0076] The embodiment of the present application considers the operation constraints of the units during the process of determining the output process of the thermal power plant units, and takes the minimum shortage of electricity as the goal, realizing reducing unnecessary energy consumption as much as possible while ensuring power supply, which is beneficial to reducing the operation cost and environmental impact.

[0077] In one embodiment, in step S105, the operation constraints of the thermal power units include:

[0078] Spare capacity constraint of thermal power units:

[0079] Among them, i is the index of the thermal power unit, i = 0, 1, 2..., I, and I is the set of all thermal power units in the receiving-end grid, represents the output of coal-fired power unit i at time period t, MW; γ i,t is a binary variable representing the operation status of unit i at time period t. If γ i,tIf \(x_{it}=1\), unit \(i\) is in the operating state during period \(t\); otherwise, it is in the shutdown state. Denote the single-unit capacity of coal-fired unit \(i\) as \(P_{i}\), in MW; \(\sigma\) represents the reserve rate of the coal-fired unit.

[0080] Minimum technical output constraint of thermal power units:

[0081] Among them, \(\rho\) i is the minimum technical output rate of unit \(i\).

[0082] Output ramp constraint of thermal power units:

[0083] Among them, \(\Delta r\) i is the ramp rate of unit \(i\), in MW / h.

[0084] Thermal power output constraint:

[0085] Among them, \(P\) t thermal is the output process of the thermal power plant unit, in MW.

[0086] In one embodiment, in step S105, taking the minimum shortage of power in a typical day as the optimization goal means constructing an objective function for minimizing the power shortage of the power grid:

[0087] In one embodiment, in step S106, based on the output process of the thermal power plant unit and the remaining load process of the power grid, determine the remaining power of the power grid, and conduct a power and energy balance analysis based on the remaining power of the power grid to obtain the analysis results, including:

[0088] According to the formula \(P\) t other \(=(P\) t res \(-P\) t thermal ) calculate the remaining power \(P\) t other ;

[0089] Among them, \(P\) t res is the remaining load process of the power grid, and \(P\) t thermal is the output process of the thermal power plant unit;

[0090] If \(P\) t other \(>0\), the analysis result is that there is a power shortage in the power grid during period \(t\) in a typical day;

[0091] If \(P\) t other< 0, the analysis result indicates that there is curtailment of electricity in the typical daily power grid during period t; the corresponding curtailed electricity quantity or curtailment amount is E other , and the curtailed or abandoned power is P other ;

[0092] If P t other = 0, the analysis result indicates that the power and electricity quantity reach balance during period t of the typical day, there is no power shortage or curtailment, and the curtailed electricity quantity and curtailment amount are 0.

[0093] In one embodiment, in step S106, the formula for the curtailed or abandoned power and electricity quantity of the typical daily power grid balance is:

[0094]

[0095]

[0096] In one embodiment, as Figure 2 shown, taking the typical day of Grid A in February as an example, the comprehensive energy power and electricity quantity balance analysis method of the power grid is described, which specifically includes the following steps S201 to S206:

[0097] Step S201: Collect the operation parameters of the power grid and power stations.

[0098] In the application, collect the basic parameters such as the typical daily load process of the power grid, load reserve rate, wind power process, photovoltaic power process, power receiving process, power transmission process, nuclear power process, capacity and minimum technical output of thermal power units, capacity and minimum output of gas power plants, installed capacity and energy conversion efficiency of pumped storage, forced output, average output and expected output of hydropower, etc.

[0099] Step S202: Consider the load reserve demand of the power grid and construct the typical daily reserve load process;

[0100] In the application, the load reserve rate is taken as 12%, and the reserve load process is obtained:

[0101]

[0102] Step S203: Construct the typical daily equivalent load process;

[0103] In the application, the typical daily reserve load process deducts the wind power output P of the power grid during period t t wind , the photovoltaic output P of the power grid during period t t solar , the power transmitted out of the power grid during period t P t send and the power received from other provinces by the power grid during period t P t receive, Grid time period t, typical nuclear power process P t nuclear After that, the constructed typical daily equivalent load process is as follows:

[0104] P t equal = {34483MW, 32005MW, 29060MW,..., 48701MW, 40900MW}.

[0105] Step S204: Determine the operating times and output processes of various peak - shaving power sources. According to the operation mode constraints of hydropower stations, gas - power stations and pumped - storage power stations, a mathematical programming model is constructed with the minimum sum of squares of the remaining grid load as the objective function to determine the operating times and output processes of hydropower, gas - power and pumped - storage power stations on a typical day.

[0106] In application, the output of the hydropower station after peak - shaving optimization at time period t is P t hydro = {2726MW, 2726MW, 2726MW,..., 8283MW, 2726MW}, the output of the gas - power station at time period t is P t gas = {6425MW, 6425MW, 6425MW,..., 11170MW, 8927MW}, the output of the pumped - storage power station in the pumping condition is P t ch = {0, - 992MW, - 3936MW,..., 0, 0}, the output of the pumped - storage power station in the power - generation condition is P t dis = {1059MW, 0, 0,..., 0, 0}, and the remaining grid load process is:

[0107] P t res = {24272MW, 23845MW, 23845MW,..., 29247MW, 29247MW}.

[0108] Step S205: After determining the operating modes and times of hydropower, gas - power and pumped - storage power stations through step S204, arrange the coal - fired power units in the grid to participate in the power and energy balance. Considering the operation constraints of each coal - fired power unit, with the minimum shortage of electricity during a typical day as the optimization objective, determine the starting - up status and output process of the coal - fired power station units.

[0109] In application, the output process of the optimized thermal power station units is P t thermal = {24272MW, 23845MW, 23845MW,..., 28148MW, 28148MW}, and the total number of started - up thermal power units is 85.

[0110] Step S206: Conduct grid power and energy balance analysis based on the power and energy profit and loss conditions in a typical day.

[0111] In the application, as Figure 3 shown, through the above calculations, in the typical day's equivalent load process After arranging the wind power output P t wind of the power grid at time period t, the photovoltaic power output P t solar of the power grid at time period t, the power transmitted out P t send of the power grid at time period t, and the power received from other provinces P t receive of the power grid at time period t, and the typical process P t nuclear of nuclear power of the power grid at time period t, the remaining power P t other P t other = {0, 0, 0,..., 1098MW, 1098MW}, and P t other ≥ 0, then the power grid is power balanced from 0 to 8 o'clock on the typical day, and there is a power shortage from 8 to 24 o'clock. The power shortage on the typical day is 1098MW, and the energy shortage is 15593MW·h.

[0112] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0113] The embodiments of the present application also provide a comprehensive energy power and energy balance analysis device for a power grid, which is used to execute the steps in the embodiments of the comprehensive energy power and energy balance analysis method for the power grid. The comprehensive energy power and energy balance analysis device for the power grid can be a virtual appliance in an electronic device, operated by the processor of the electronic device, or the electronic device itself.

[0114] As Figure 4 shown, the comprehensive energy power and energy balance analysis device 100 for the power grid provided by the embodiments of the present application includes:

[0115] A data acquisition module 101, configured to collect the typical day's load process data and load reserve rate data of the power grid;

[0116] A standby load calculation module 102, configured to calculate the typical day's standby load process based on the typical day's load process and the load reserve rate;

[0117] The equivalent load calculation module 103 is used to deduct wind power, photovoltaic power, power received from other provinces, exported power, and nuclear power from the standby load process of a typical day to obtain the equivalent load process of the typical day;

[0118] The power grid peak shaving model construction module 104 is used to construct a power grid peak shaving model based on peak shaving power sources, and combine with the equivalent load process of the typical day to determine the remaining load process of the power grid;

[0119] The output calculation module 105 of thermal power plant units is used to determine the output process of thermal power plant units based on the remaining load process of the power grid;

[0120] The analysis module 106 is used to determine the remaining power of the power grid based on the output process of thermal power plant units and the remaining load process of the power grid, and perform power and energy balance analysis based on the remaining power of the power grid to obtain the analysis result.

[0121] In application, each module in the integrated energy power and energy balance analysis device of the power grid can be a software program module, can also be implemented by different logic circuits integrated in a processor, or can also be implemented by multiple distributed processors.

[0122] As Figure 5 shown, an embodiment of the present application further provides an electronic device 200, including: at least one processor 201 ( Figure 5 only one processor is shown in the figure), a memory 202, and a computer program 203 stored in the memory 202 and executable on at least one processor 201. When the processor 201 executes the computer program 203, the steps in the above-mentioned method embodiments are implemented.

[0123] In application, the electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that Figure 5 merely an example of the electronic device, which does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or different components.

[0124] In application, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0125] In an application, the memory can be an internal storage unit of an electronic device in some embodiments, such as a hard disk or memory of the electronic device. The memory can also be an external storage device of the electronic device in other embodiments. For example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc., equipped on the electronic device. Further, the memory can also include both an internal storage unit and an external storage device of the electronic device. The memory is used to store an operating system, application programs, a BootLoader, data, and other programs, such as program codes of computer programs. The memory can also be used to temporarily store data that has been output or will be output.

[0126] It should be noted that, regarding the information interaction, execution process, etc. between the above-mentioned device / units, since it is based on the same concept as the method embodiments of the present application, for its specific functions and the technical effects brought, reference can be specifically made to the method embodiment part, and details will not be elaborated here.

[0127] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is used as an example for illustration. In practical applications, the above-mentioned functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the foregoing method embodiments, and details will not be elaborated here.

[0128] The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned various method embodiments can be implemented.

[0129] The embodiment of the present application provides a computer program product, including a computer program. When the computer program product runs on an electronic device, the electronic device can implement the steps in the above-mentioned various method embodiments when executed.

[0130] When an 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, to implement all or part of the processes in the above-described embodiment methods of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the device / electronic device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0131] In the above embodiments, the descriptions of each embodiment have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0132] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0133] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in an electrical, mechanical, or other form.

[0134] The unit described as a separation component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0135] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A comprehensive energy and power balance analysis method for a power grid, characterized in that: include: Collect typical daily load process data and load reserve rate data of the power grid; Based on the typical daily load process and load reserve rate, calculate the typical daily reserve load process; Deduct wind power, photovoltaic power, out-of-province power, external power transmission and nuclear power from the typical day standby load process to obtain a typical day equivalent load process; Building a power grid peak load model based on the peak load power source, and determining the power grid residual load process in combination with the typical day equivalent load process; Based on the residual load process of the power grid, determining the output process of the thermal power station units; Based on the output process of the thermal power plant units and the residual load process of the power grid, the residual power of the power grid is determined, and an electric power balance analysis is performed based on the residual power of the power grid to obtain an analysis result.

2. The comprehensive energy and power balance analysis method of the power grid according to claim 1 is characterized in that: It also includes collecting at least one of the following data: wind power process, photovoltaic process, power receiving process, transmission process, nuclear power process, thermal power unit capacity and minimum technical output, gas power installed capacity and minimum output, pumped storage installed capacity and energy conversion efficiency, hydropower forced output, hydropower average output and hydropower expected output.

3. The comprehensive energy and power balance analysis method of the power grid according to claim 1 is characterized in that: The calculation formula for the typical day standby load process is: in, is the typical daily reserve load process, β is the load reserve rate, D t This is a typical daily load process.

4. The comprehensive energy and power balance analysis method of the power grid according to claim 1 is characterized in that: The typical day standby load process is deducted from wind power, photovoltaic power, out-of-province power, external power transmission and nuclear power to obtain a typical day equivalent load process, including: According to the formula Calculate typical day equivalent load process; in, is a typical day equivalent load process, For a typical daily standby load process, is the wind power output in the power grid period t, is the photovoltaic output during the grid period t, The power transmitted from the power grid during period t, is the power received from outside the province during the power grid period t, This is a typical process of nuclear power generation during the power grid period t.

5. The comprehensive energy and power balance analysis method of the power grid according to claim 1 is characterized in that: The power grid peak load model is constructed based on the peak load power source, and the power grid residual load process is determined in combination with the typical day equivalent load process, including: According to the operation characteristics of peak-shaving power sources, considering the operation constraints of peak-shaving power sources, a power grid peak-shaving model is constructed with the minimum sum of squares of the grid residual load as the objective function; According to the formula Determine the residual load process of the power grid; Wherein, the peak-shaving power source includes a hydropower station, a gas power station and a pumped storage power station; is the residual load process of the power grid, is a typical day equivalent load process, is the output of the hydropower station in time period t, To provide power for the pumped storage power station. Provides pumping power for pumped storage power stations. is the output of the gas power station in time period t.

6. The comprehensive energy and power balance analysis method of the power grid according to claim 5 is characterized in that: The peak load power supply operation constraints include: Average output constraints of hydropower stations: Where t is the calculation period of a typical day, t=0,1,2,...,T; T is the set of all calculation periods of a typical day; The average output of the hydropower station; Hydropower station output constraints: in, is the output of the hydropower station in time period t, Forecast contribution to the hydropower station, Forced to provide power for hydroelectric power stations; Pumped storage power station operating condition constraints: μ t +ν t =1; Among them, μ t is the power generation status of the power station in time period t, v t is the pumping condition of the power station in time period t; Energy timing coupling constraints of pumped storage power station: in, is the energy of the pumped storage power station in time period t, To provide pumping power for pumped storage power stations. is the power generation output of the pumped storage power station, η is the energy conversion efficiency of the pumped storage power station, and Δt is the calculation period; Pumped storage power station initial and final energy constraints: E0 = E init , E T =E end ; Among them, E init is the energy of the pumped storage power station at the beginning of the period, E end is the energy of the pumped storage power station at the end of the period; Pumped storage charging and discharging capacity constraints: Among them, N ph Installed capacity for pumped storage power stations; Output limit constraints of gas power plants: Among them, N gas The installed capacity of gas power plants, is the output of the gas power station in time period t, It is the minimum output of the gas power station; Gas and electricity energy constraints: in, The maximum power generation capacity of the gas power station; Grid residual load constraints:

7. The comprehensive energy and power balance analysis method of the power grid according to claim 1 is characterized in that: The process of determining the output of the thermal power station units based on the residual load process of the power grid includes: The operation constraints of the thermal power units are considered for the residual load process of the power grid, and the operation status and output process of the thermal power station units are determined with the minimum power shortage in a typical day as the optimization goal.

8. The comprehensive energy and power balance analysis method of the power grid according to claim 7 is characterized in that: The thermal power unit operation constraints include: Reserve capacity constraints of thermal power units: Where i is the index of the thermal power unit, i = 0, 1, 2..., I, I is the set of all thermal power units in the receiving power grid, is the output of thermal power unit i in period t, γ i,t is the operating status of unit i in the thermal power station in period t, is the single unit capacity of thermal power unit i, σ is the reserve rate of thermal power unit; Minimum technical output constraints for thermal power units: Among them, ρ i is the minimum technical output rate of unit i; Output ramp constraints of thermal power units: Among them, Δr i is the ramp rate of unit i; Thermal power output constraints: in, The process of generating power for thermal power station units.

9. The comprehensive energy and power balance analysis method of a power grid according to claim 1, characterized in that: The method of determining the remaining power of the power grid based on the output process of the thermal power station units and the remaining load process of the power grid, and performing power and electricity balance analysis based on the remaining power of the power grid to obtain analysis results includes: According to the formula Calculate the remaining power in the grid in, is the residual load process of the power grid, The process of generating power for thermal power station units; like The analysis results show that the power grid has power shortage in period t during a typical day; like The analysis results show that there is power abandonment in the power grid during period t on a typical day; like The analysis result shows that the power consumption is balanced during the typical daily period t.

10. An electronic device, characterized in that: The electronic device comprises a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electronic device implements the method as claimed in any one of claims 1 to 9.

Images