A method for obtaining the unit output of a generator set and related equipment

Abstract

The present disclosure provides a method for obtaining the unit output of a generator set and related equipment, which can obtain the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters; based on the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; the unit combination model is solved to obtain the unit output of the generator set. The present disclosure adds a quadratic programming model that characterizes the mechanical wear cost, so that the solved unit output is smoother, the mechanical wear caused by the unit output burr is reduced, and the stability of the power grid operation and the power generation efficiency are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power grid power generation, and in particular to a method for obtaining the output of a generator set and related equipment. Background Art

[0002] The basic function of power generation planning is to prepare a power generation plan with the minimum objective function and satisfying the grid security constraints based on multiple constraints, including the start and stop mode of the unit and the power generation output in each period. The optimization target of power generation planning supports multiple modes, including energy-saving power generation scheduling, "three public" scheduling and other scheduling modes. Considering my country's actual scheduling strategy, the optimization target of domestic power generation planning is mostly the "three public" scheduling mode with the minimum deviation between the output of all units and the initial plan.

[0003] However, in the current power generation plan preparation, the unit output within the segment interval is random, which easily causes the unit output to fluctuate frequently, which is manifested as an increase in "burrs" in the unit output over time curve. Due to the frequent fluctuations in unit output, the steam turbine intake valve needs to be adjusted frequently, resulting in increased mechanical wear. Long-term operation like this will lead to a decrease in power generation efficiency. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a method for obtaining the unit output of a generator set and related equipment to overcome the above problems or at least partially solve the above problems. The technical solution is as follows:

[0005] A method for obtaining the output of a generator set, comprising:

[0006] Obtaining grid generator operating parameters, power system operating parameters and power network parameters;

[0007] Based on the operating parameters of the power grid generator sets, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval;

[0008] The unit combination model is solved to obtain the unit output of the generator set.

[0009] Optionally, the operating parameters of the power grid generator set include the unit initial plan, the unit initial state, the unit upper and lower limits, and the unit ramp rate; the power system operating parameters include the interconnection line plan and bus load forecast; the power network parameters include the generator set, the power transfer factor of the load injection power to the section, and the section flow transmission limit.

[0010] Optionally, the objective function of the unit commitment model is:

[0011]

[0012] Wherein, F represents the deviation cost; I represents the total number of the generator sets; i represents the unit number of the generator set; T represents the total number of time periods; t represents the time period number; P i,t represents the unit output of the generator set i in time period t; represents the planned output of the generator set i in time period t; represents the deviation per unit dimension of the generator set i in time period t; represents the cost function of the segmented penalty cost corresponding to the unit output deviation variable; M represents the total number of segments of the segmented function; m represents the segment number of each segment in the segmented function; Δp i,t,m represents the unit output deviation variable of the generator set i in time period t and segment m; C((Δp i,t,m ) 2 ) represents the cost function of the mechanical wear cost corresponding to the unit output deviation variable; It represents the mechanical wear cost corresponding to the unit output deviation variable within the unit segmentation interval.

[0013] Optionally, the cost function of the segment penalty cost is expressed as:

[0014]

[0015] Among them, λ i,m represents the segment cost of the generator set i in segment m; Represents the terminal power of the generator set i in segment m.

[0016] Optionally, the cost function of the mechanical wear cost is expressed as:

[0017] C((Δp i,t,m ) 2 )=μ i,m (Δp i,t,m ) 2

[0018] Among them, μ i,mRepresents the penalty cost of the unit output deviation variable of the generator set i in segment m.

[0019] Optionally, the solution constraints of the unit combination model include system balance constraints, unit constraints and flow constraints, wherein the system balance constraints are related to the interconnection line plan and the bus load forecast, the unit constraints are related to the upper and lower limits of the unit and the unit ramp rate, and the flow constraints are related to the power transfer factor and the section flow transmission limit.

[0020] Optionally, the system balance constraint is expressed as:

[0021]

[0022] Among them, T j,t represents the tie line plan of the power receiving gateway j in time period t; NT is the total number of the power receiving gateways; P d,t is the predicted value of bus load d in time period t; ND is the total number of bus loads;

[0023] The unit constraints include unit upper and lower limit constraints and unit climbing and sliding constraints. The unit upper and lower limit constraints are expressed as:

[0024]

[0025] Among them, α i,t represents the start and stop status of the generator set i in time period t, α i,t =0 means that the generator set i is shut down in time period t, α i,t =1 indicates that the generator set i is started in time period t; represents the maximum adjustable output of the generator set i in time period t; represents the minimum adjustable output of the generator set i in time period t;

[0026] The unit climbing landslide constraint is expressed as:

[0027]

[0028] Among them, ΔP i U , ΔP i D represents the slope climbing rate of the generator set i;

[0029] The power flow constraint is expressed as:

[0030]

[0031] in, is the lower limit of power flow transmission in section s; is the upper limit of power flow transmission in section s; G i-s is the power transfer factor of the generator set i to the section s; G d-s is the power transfer factor of load d to section s.

[0032] A device for obtaining the unit output of a generator set comprises: a parameter obtaining unit, a model building unit and a unit output obtaining unit.

[0033] The parameter acquisition unit is used to obtain the operating parameters of the power grid generator set, the power system operating parameters and the power network parameters;

[0034] The model building unit is used to build a unit combination model with the minimum unit output deviation cost as the optimization target based on the operating parameters of the power grid generator set, the power system operating parameters and the power network parameters, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval;

[0035] The unit output obtaining unit is used to solve the unit combination model to obtain the unit output of the generator set.

[0036] A computer-readable storage medium stores a program, which, when executed by a processor, implements any of the above-mentioned methods for obtaining the unit output of a generator set.

[0037] An electronic device, comprising at least one processor, and at least one memory and a bus connected to the processor; wherein the processor and the memory communicate with each other via the bus; and the processor is used to call program instructions in the memory to execute any of the above-mentioned methods for obtaining the unit output of a generator set.

[0038] By means of the above technical scheme, the present disclosure provides a method for obtaining the unit output of a generator set and related equipment, which can obtain the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters; based on the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; the unit combination model is solved to obtain the unit output of the generator set. The present disclosure adds a quadratic programming model that characterizes the mechanical wear cost, so that the solved unit output is smoother, the mechanical wear caused by the unit output burr is reduced, and the stability of the power grid operation and the power generation efficiency are improved.

[0039] The above description is only an overview of the technical solution of the present disclosure. In order to more clearly understand the technical means of the present disclosure, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present disclosure more obvious and easy to understand, the specific implementation methods of the present disclosure are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present disclosure. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0041] Figure 1 A schematic diagram of a unit output curve before optimization provided by an embodiment of the present disclosure is shown;

[0042] Figure 2 A flow chart showing an implementation of a method for obtaining the unit output of a generator set provided in an embodiment of the present disclosure;

[0043] Figure 3 A schematic diagram showing an optimized unit output curve provided by an embodiment of the present disclosure is shown;

[0044] Figure 4 A structural schematic diagram of a device for obtaining a generator set output provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0045] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0046] The current power generation plan is to track the unit output by introducing a segmented penalty cost method for the deviation between the unit output and the initial plan in the optimization target. Although this method can intuitively express the unit output deviation, the unit output is random within the segmented interval, which can easily lead to "burrs" on the unit output curve, such as Figure 1 Although the “burr” phenomenon can be alleviated by increasing the number of segments in theory, the efficiency of the algorithm will gradually decrease as the number of segments increases.

[0047] To this end, the method for obtaining the unit output of a generator set provided in the embodiment of the present disclosure adds a quadratic programming model of the unit output deviation variable in a segmented interval on the basis of the segmented penalty model of the segmented unit output deviation variable. Since the quadratic programming model can characterize the mechanical wear penalty of the generator set in actual operation, the unit output is no longer randomly distributed within the segmented interval, and the unit output is smoother, which can reduce the "burr" phenomenon. At the same time, there is no need to increase the number of segments, thereby ensuring the efficient execution of the algorithm.

[0048] like Figure 2 As shown, a flow chart of an implementation of a method for obtaining the unit output of a generator set provided by an embodiment of the present disclosure is provided, and the method may include:

[0049] S100, obtaining power grid generator set operating parameters, power system operating parameters and power network parameters.

[0050] Optionally, the operating parameters of the power grid generator set include the initial plan of the set, the initial state of the set, the upper and lower limits of the set, and the ramp rate of the set.

[0051] Optionally, the power system operating parameters include tie line planning and bus load forecasting.

[0052] Optionally, the power network parameters include power transfer factors of generator sets, load injection power to sections, and section power flow transmission limits.

[0053] Among them, the section is a power transmission channel composed of several lines or transformers.

[0054] S200. Based on the operating parameters of the power grid generator sets, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model. The segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval.

[0055] Optionally, the objective function of the unit commitment model is:

[0056]

[0057] Where F represents the deviation cost; I represents the total number of generator sets; i represents the unit number of the generator set; T represents the total number of time periods; t represents the time period number; P i,t represents the unit output of generator set i in time period t; represents the planned output of generator set i in period t; represents the deviation per unit of generator set i in period t; represents the cost function of the piecewise penalty cost corresponding to the unit output deviation variable; M represents the total number of pieces in the piecewise function; m represents the piecewise number of each piece in the piecewise function; Δp i,t,m represents the unit output deviation variable of generator set i in time period t and segment m; C((Δp i,t,m ) 2 ) represents the cost function of the mechanical wear cost corresponding to the unit output deviation variable; It represents the mechanical wear cost corresponding to the unit output deviation variable within the unit segmentation range.

[0058] Among them, the cost function of the piecewise penalty cost corresponding to the unit output deviation variable is a piecewise linear convex curve. By adding corresponding costs to the different active unit output deviation variables of the generator set, the cost increases with the increase of the unit output deviation variable, so as to achieve the requirement of minimizing the deviation between the power generation plan and the initial plan.

[0059] Optionally, the cost function of the segmented penalty cost can be expressed as the accumulation of unit output deviation variables. The cost function of the segmented penalty cost can be expressed as:

[0060]

[0061] Among them, λ i,m represents the segment cost of generator set i in segment m; Represents the terminal power of generator set i in segment m.

[0062] Alternatively, the cost function of mechanical wear cost is expressed as:

[0063] C((Δp i,t,m ) 2 )=μ i,m (Δp i,t,m ) 2

[0064] Among them, μ i,m It represents the penalty cost of the unit output deviation variable of generator set i in segment m.

[0065] It can be understood that in order to ensure that the deviation cost curve of the unit output deviation variable is a convex function, the cost setting of the unit output deviation variable within the segment interval generally does not exceed the segment cost difference between the next segment interval and the current segment interval.

[0066] Optionally, the solution constraints of the unit combination model include system balance constraints, unit constraints and flow constraints, among which the system balance constraints are related to the interconnection line plan and bus load forecast, the unit constraints are related to the upper and lower limits of the unit and the unit ramp rate, and the flow constraints are related to the power transfer factor and the section flow transmission limit.

[0067] Optionally, the system balance constraint is expressed as:

[0068]

[0069] Among them, T j,t represents the tie line plan of power receiving gateway j in time period t; NT is the total number of power receiving gateways; P d,t is the predicted value of bus load d in time period t; ND is the total number of bus loads.

[0070] The unit constraints include the unit upper and lower limit constraints and the unit climbing and sliding constraints. The unit upper and lower limit constraints are expressed as:

[0071]

[0072] Among them, α i,t represents the start and stop status of generator set i in period t, α i,t =0 means that generator set i is shut down in period t, α i,t =1 means that generator set i is started in time period t; It represents the maximum adjustable output of generator set i in time period t; It represents the minimum adjustable output of generator set i in time period t.

[0073] The unit climbing landslide constraint is expressed as:

[0074]

[0075]

[0076] Where ΔP i U , ΔP i D Represents the climbing rate of generator set i.

[0077] The power flow constraint is expressed as:

[0078]

[0079] in, is the lower limit of power flow transmission in section s; is the upper limit of power flow transmission in section s; G i-s is the power transfer factor of generator set i to section s; G d-s is the power transfer factor of load d to section s.

[0080] S300, solving the unit combination model to obtain the unit output of the generator set.

[0081] The disclosed embodiment can obtain the unit output P of the generator set i in time period t by solving and optimizing the unit combination model: i,t .

[0082] The unit output obtained after solving the unit combination model, the optimized unit output curve is as follows Figure 3 As shown, Figure 1 The comparison of the unit output curve before optimization shows that the "burrs" are significantly reduced, the unit output is smoother, closer to the actual production and operation needs, effectively reducing mechanical wear and improving the stability of power grid operation.

[0083] The present disclosure provides a method for obtaining the unit output of a generator set, which can obtain the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters; based on the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; the unit combination model is solved to obtain the unit output of the generator set. The present disclosure adds a quadratic programming model that characterizes the mechanical wear cost, so that the solved unit output is smoother, the mechanical wear caused by the unit output burr is reduced, and the stability of the power grid operation and the power generation efficiency are improved.

[0084] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0085] Corresponding to the above method embodiment, the embodiment of the present disclosure also provides a device for obtaining the output of a generator set, the structure of which is as follows: Figure 4 As shown, it may include: a parameter obtaining unit 100, a model building unit 200 and a unit output obtaining unit 300.

[0086] The parameter acquisition unit 100 is used to obtain the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters.

[0087] The model building unit 200 is used to build a unit combination model with the minimum unit output deviation cost as the optimization target based on the operating parameters of the power grid generator sets, the operating parameters of the power system and the power network parameters, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval.

[0088] The unit output obtaining unit 300 is used to solve the unit combination model to obtain the unit output of the generator set.

[0089] Optionally, the operating parameters of the power grid generator set include the initial plan of the set, the initial state of the set, the upper and lower limits of the set, and the ramp rate of the set.

[0090] Optionally, the power system operating parameters include tie line planning and bus load forecasting.

[0091] Optionally, the power network parameters include power transfer factors of generator sets, load injection power to sections, and section power flow transmission limits.

[0092] Among them, the section is a power transmission channel composed of several lines or transformers.

[0093] Optionally, the objective function of the unit commitment model is:

[0094]

[0095] Where F represents the deviation cost; I represents the total number of generator sets; i represents the unit number of the generator set; T represents the total number of time periods; t represents the time period number; P i,t represents the unit output of generator set i in time period t; represents the planned output of generator set i in period t; represents the deviation per unit of generator set i in period t; represents the cost function of the piecewise penalty cost corresponding to the unit output deviation variable; M represents the total number of pieces in the piecewise function; m represents the piecewise number of each piece in the piecewise function; Δp i,t,m represents the unit output deviation variable of generator set i in time period t and segment m; C((Δp i,t,m ) 2 ) represents the cost function of the mechanical wear cost corresponding to the unit output deviation variable; It represents the mechanical wear cost corresponding to the unit output deviation variable within the unit segmentation range.

[0096] Among them, the cost function of the piecewise penalty cost corresponding to the unit output deviation variable is a piecewise linear convex curve. By adding corresponding costs to the different active unit output deviation variables of the generator set, the cost increases with the increase of the unit output deviation variable, so as to achieve the requirement of minimizing the deviation between the power generation plan and the initial plan.

[0097] Optionally, the cost function of the segmented penalty cost can be expressed as the accumulation of unit output deviation variables. The cost function of the segmented penalty cost can be expressed as:

[0098]

[0099] Among them, λ i,m represents the segment cost of generator set i in segment m; Represents the terminal power of generator set i in segment m.

[0100] Alternatively, the cost function of mechanical wear cost is expressed as:

[0101] C((Δp i,t,m ) 2 )=μ i,m (Δp i,t,m ) 2

[0102] Among them, μ i,m It represents the penalty cost of the unit output deviation variable of generator set i in segment m.

[0103] It can be understood that in order to ensure that the deviation cost curve of the unit output deviation variable is a convex function, the cost setting of the unit output deviation variable within the segment interval generally does not exceed the segment cost difference between the next segment interval and the current segment interval.

[0104] Optionally, the solution constraints of the unit combination model include system balance constraints, unit constraints and flow constraints, among which the system balance constraints are related to the interconnection line plan and bus load forecast, the unit constraints are related to the upper and lower limits of the unit and the unit ramp rate, and the flow constraints are related to the power transfer factor and the section flow transmission limit.

[0105] Optionally, the system balance constraint is expressed as:

[0106]

[0107] Among them, T j,t represents the tie line plan of power receiving gateway j in time period t; NT is the total number of power receiving gateways; P d,t is the predicted value of bus load d in time period t; ND is the total number of bus loads.

[0108] The unit constraints include the unit upper and lower limit constraints and the unit climbing and sliding constraints. The unit upper and lower limit constraints are expressed as:

[0109]

[0110] Among them, α i,t represents the start and stop status of generator set i in period t, α i,t =0 means that generator set i is shut down in period t, α i,t =1 means that generator set i is started in time period t; It represents the maximum adjustable output of generator set i in time period t; It represents the minimum adjustable output of generator set i in time period t.

[0111] The unit climbing landslide constraint is expressed as:

[0112]

[0113] Where ΔP i U , ΔP i D Represents the climbing rate of generator set i.

[0114] The power flow constraint is expressed as:

[0115]

[0116] in, is the lower limit of power flow transmission in section s; is the upper limit of power flow transmission in section s; G i-s is the power transfer factor of generator set i to section s; G d-s is the power transfer factor of load d to section s.

[0117] The disclosed embodiment can obtain the unit output P of the generator set i in time period t by solving and optimizing the unit combination model: i,t .

[0118] The present disclosure provides a device for obtaining the unit output of a generator set, which can obtain the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters; based on the operating parameters of the power grid generator set, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; the unit combination model is solved to obtain the unit output of the generator set. The present disclosure adds a quadratic programming model that characterizes the mechanical wear cost, so that the solved unit output is smoother, the mechanical wear caused by the unit output burr is reduced, and the stability of the power grid operation and the power generation efficiency are improved.

[0119] The generator set output acquisition device includes a processor and a memory. The parameter acquisition unit 100, the model building unit 200 and the generator set output acquisition unit 300 are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.

[0120] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and by adjusting the kernel parameters, the quadratic programming model that characterizes the mechanical wear cost is added to make the solved unit output smoother, reduce the mechanical wear caused by the unit output burr, and improve the stability of the power grid operation and the power generation efficiency.

[0121] An embodiment of the present disclosure provides a computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, a method for obtaining the unit output of the generator set is implemented.

[0122] An embodiment of the present disclosure provides a processor, which is used to run a program, wherein the program executes a method for obtaining the unit output of the generator set when running.

[0123] The embodiment of the present disclosure provides an electronic device, the electronic device includes at least one processor, and at least one memory and a bus connected to the processor; wherein the processor and the memory communicate with each other through the bus; the processor is used to call program instructions in the memory to execute the above-mentioned method for obtaining the unit output of the generator set. The electronic device in this article can be a server, a PC, a PAD, a mobile phone, etc.

[0124] The present disclosure also provides a computer program product, which, when executed on an electronic device, is suitable for executing the steps of a method for obtaining the output of a generator set having an initialization function.

[0125] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, apparatuses, electronic devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable device to generate a machine, so that the instructions executed by the processor of the computer or other programmable device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] In a typical configuration, an electronic device includes one or more processors (CPU), a memory, and a bus. The electronic device may also include an input / output interface, a network interface, and the like.

[0127] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

[0128] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0129] In the description of the present disclosure, it should be understood that the terms "up", "down", "front", "back", "left" and "right" etc. indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description. They do not indicate or imply that the positions or elements referred to must have specific directions, be constructed and operate in specific directions. Therefore, they should not be understood as limitations of the present disclosure.

[0130] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. It should also be noted that the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0131] It will be appreciated by those skilled in the art that the embodiments of the present disclosure may be provided as methods, systems or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] The above are only embodiments of the present disclosure and are not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the scope of the claims of the present disclosure.

Claims

1. A method for obtaining the unit output of a generator set, characterized in that: include: Obtaining grid generator operating parameters, power system operating parameters and power network parameters; Based on the operating parameters of the power grid generator sets, the operating parameters of the power system and the power network parameters, a unit combination model with the minimum unit output deviation cost as the optimization target is constructed, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; Solving the unit combination model to obtain the unit output of the generator set; The power grid generator set operating parameters include the unit initial plan, unit initial state, unit upper and lower limits, and unit climbing and landslide rate; the power system operating parameters include the tie line plan and bus load forecast; the power network parameters include the generator set, the load injection power to the section power transfer factor, and the section power flow transmission limit; The objective function of the unit commitment model is: Wherein, F represents the deviation cost; I represents the total number of the generator sets; i represents the unit number of the generator set; T represents the total number of time periods; t represents the time period number; P i,t represents the unit output of the generator set i in time period t; represents the planned output of the generator set i in time period t; represents the deviation per unit dimension of the generator set i in time period t; represents the cost function of the segmented penalty cost corresponding to the unit output deviation variable; M represents the total number of segments of the segmented function; m represents the segment number of each segment in the segmented function; Δp i,t,m represents the unit output deviation variable of the generator set i in time period t and segment m; C((Δp i,t,m ) 2 ) represents the cost function of the mechanical wear cost corresponding to the unit output deviation variable; It represents the mechanical wear cost corresponding to the unit output deviation variable within the unit segmentation interval.

2. The method according to claim 1, characterized in that The cost function of the segment penalty cost is expressed as: Among them, λ i,m represents the segment cost of the generator set i in segment m; Represents the terminal power of the generator set i in segment m.

3. The method according to claim 1, characterized in that The cost function of the mechanical wear cost is expressed as: C((Δp i,t,m ) 2 )=μ i,m (Δp i,t,m ) 2 Among them, μ i,m Represents the penalty cost of the unit output deviation variable of the generator set i in segment m.

4. The method according to claim 1, characterized in that The solution constraints of the unit combination model include system balance constraints, unit constraints and flow constraints, wherein the system balance constraints are related to the interconnection line plan and the bus load forecast, the unit constraints are related to the upper and lower limits of the unit and the unit ramp rate, and the flow constraints are related to the power transfer factor and the section flow transmission limit.

5. The method according to claim 4, characterized in that The system balance constraint is expressed as: Among them, T j,t represents the tie line plan of the power receiving gateway j in time period t; NT is the total number of the power receiving gateways; P d,t is the predicted value of bus load d in time period t; ND is the total number of bus loads; The unit constraints include unit upper and lower limit constraints and unit climbing and sliding constraints. The unit upper and lower limit constraints are expressed as: Among them, α i,t represents the start and stop status of the generator set i in time period t, α i,t =0 means that the generator set i is shut down in time period t, α i,t =1 indicates that the generator set i is started in time period t; represents the maximum adjustable output of the generator set i in time period t; represents the minimum adjustable output of the generator set i in time period t; The unit climbing landslide constraint is expressed as: in, represents the slope climbing rate of the generator set i; The power flow constraint is expressed as: in, is the lower limit of power flow transmission in section s; is the upper limit of power flow transmission in section s; G i-s is the power transfer factor of the generator set i to the section s; G d-s is the power transfer factor of load d to section s.

6. A device for obtaining the output of a generator set, characterized in that: include: Parameter acquisition unit, model building unit and unit output acquisition unit, The parameter acquisition unit is used to obtain the operating parameters of the power grid generator set, the power system operating parameters and the power network parameters; The model building unit is used to build a unit combination model with the minimum unit output deviation cost as the optimization target based on the operating parameters of the power grid generator set, the power system operating parameters and the power network parameters, wherein the unit combination model includes a segmented penalty model and a quadratic programming model, the segmented penalty model is used to characterize the segmented penalty cost corresponding to the unit output deviation variable of the generator set, and the quadratic programming model is used to characterize the mechanical wear cost corresponding to the unit output deviation variable within the segmented interval; The unit output obtaining unit is used to solve the unit combination model to obtain the unit output of the generator set; The power grid generator set operating parameters include the unit initial plan, unit initial state, unit upper and lower limits, and unit climbing and landslide rate; the power system operating parameters include the tie line plan and bus load forecast; the power network parameters include the generator set, the load injection power to the section power transfer factor, and the section power flow transmission limit; The objective function of the unit commitment model is: Wherein, F represents the deviation cost; I represents the total number of the generator sets; i represents the unit number of the generator set; T represents the total number of time periods; t represents the time period number; P i,t represents the unit output of the generator set i in time period t; represents the planned output of the generator set i in time period t; represents the deviation per unit dimension of the generator set i in time period t; represents the cost function of the segmented penalty cost corresponding to the unit output deviation variable; M represents the total number of segments of the segmented function; m represents the segment number of each segment in the segmented function; Δp i,t,m represents the unit output deviation variable of the generator set i in time period t and segment m; C((Δp i,t,m ) 2 ) represents the cost function of the mechanical wear cost corresponding to the unit output deviation variable; It represents the mechanical wear cost corresponding to the unit output deviation variable within the unit segmentation interval.

7. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the method for obtaining the unit output of a generator set according to any one of claims 1 to 5 is implemented.

8. An electronic device, comprising at least one processor, and at least one memory and bus connected to the processor; wherein: The processor and the memory communicate with each other via the bus; The processor is used to call the program instructions in the memory to execute the method for obtaining the unit output of the generator set according to any one of claims 1 to 5.

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