Power system unit commitment optimization scheduling method, device, equipment and medium

Abstract

The invention belongs to the field of electric power system dispatching operation and control, and discloses an electric power system unit combination optimization dispatching method, device and equipment and a medium. The method comprises the following steps: acquiring a unit set G in a power system and characteristic parameters of each unit g in the unit set G; based on the characteristic parameters of each unit g, solving a pre-established power system unit combination model considering the multi-working-condition wide-power adjustment characteristics of the coal power unit, and obtaining a power system unit combination optimization scheduling result; and outputting the unit commitment optimization scheduling result of the power system. According to the invention, the supporting capability of the unit combination result on the multi-dimensional adjustment of the power system is enhanced; the method adapts to development and application of a novel power system.

Description

Technical Field

[0001] The present invention belongs to the field of power system dispatching operation and control, and relates to a method, device, equipment and medium for optimizing the dispatching of power system unit combinations. Background Art

[0002] With the implementation of the "three reforms" of coal-fired power, the regulation characteristics of the units have changed significantly, especially when facing the deep peak regulation, ramping and frequency regulation needs of the new power system, it is necessary to modify and adjust the unit combination model with refined targets. After the three reforms of coal-fired power, when the units face some special scenarios of the system, such as the instantaneous power ramping caused by the morning and evening ramping of photovoltaic power and the peak and valley electricity prices, the units in the deep regulation state will find it difficult to provide the ramping capacity that can be provided during normal operation, resulting in insufficient overall system climbing capacity; the rotational inertia and frequency regulation capacity of the units in the deep regulation state decrease, resulting in insufficient overall system stability and frequency regulation capacity. This also puts forward new demands on the power system. On the one hand, the regulation capacity of coal-fired power should be coordinated and optimized over a large range; on the other hand, it is necessary to propose a scientific and reasonable utilization level under different levels of new energy power generation, so as to ensure both the balanced regulation needs of new energy and low-carbon operation. It is urgent to scientifically evaluate the regulation characteristics of coal-fired power, propose a day-ahead unit combination method that adapts to the multi-operating conditions and wide power regulation characteristics of coal-fired power units, and fully explore and give play to the system regulation role of coal-fired power in the process of energy transformation. Summary of the invention

[0003] The purpose of the present invention is to provide a method, device, equipment and medium for optimizing the scheduling of power system unit combination, so as to solve the technical problems that coal-fired power units are difficult to provide effective climbing ability under special operating conditions and the rotational inertia and frequency regulation ability of the units decrease under deep regulation conditions.

[0004] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for optimizing the dispatching of power system unit combinations, comprising: Obtain characteristic parameters of the unit set G in the power system and each unit g in the unit combination G; Based on the characteristic parameters of each unit g, the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is solved to obtain the optimal dispatching result of the power system unit combination; The power system is dispatched based on the results of the optimal dispatch of power system unit combinations.

[0005] A further improvement of the present invention is that in the step of obtaining characteristic parameters of the set G in the power system and each set g in the set G, the characteristic parameters of each set g specifically include: Startup costs ,unit Downtime costs ,unit Multi-operating conditions and wide power range operation cost .

[0006] A further improvement of the present invention is that in the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization dispatch result, the objective function of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is: (33) in, Indicates the unit Start-up costs, Indicates the unit Downtime costs, Indicates the unit In the period Boot action, Indicates the unit In the period The shutdown action, T is the time period set; Indicates the unit Multi-operating condition and wide power range operating cost.

[0007] A further improvement of the present invention lies in that: in the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization scheduling result, the constraints of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units include: logical constraints on the operating status of the coal-fired power units, logical constraints on the peak-shaving status of the coal-fired power units, output constraints of the coal-fired power units, climbing constraints of the coal-fired power units, minimum start and stop time constraints of the coal-fired power units, power balance constraints, output constraints of new energy units, line flow constraints and grid peak-shaving, climbing and frequency regulation demand constraints.

[0008] A further improvement of the present invention is that the power grid peak load regulation, ramp climbing and frequency regulation demand constraints specifically include: The grid peak load demand constraint is: (twenty two) (twenty three) Among them, I is the total number of units participating in peak load regulation, To adjust the peak demand, is the operating status of unit i at time t, is the maximum power of unit i in the basic peak load regulation stage, is the minimum power of unit i in the basic peak load regulation stage, is the power of unit i at time t, is the basic peak load regulation state of unit i at time t+1, T is the number of time periods in the scheduling cycle, To reduce peak demand, is the minimum power of the unit during the oil-loading peak load regulation stage, is the state of unit i in the oil injection peak regulation stage at time t+1; The climbing requirement constraint is: (28) (29) in, is the climbing ability of unit i; is the downhill climbing capability of unit i, For climbing needs, For downhill climbing needs; The frequency modulation requirement constraint is: (32) in, To adjust the system frequency.

[0009] A further improvement of the present invention is that the operating state logic constraint of the coal-fired power unit is: (34) (35) in, is the operating state of unit g at time t, is the startup state of unit g at time t+1, The unit g is in the shutdown state at time t+1; The logical constraints of the peak load regulation state of coal-fired power units are: (36) in, is the operating state of unit g at time t; Characterize the unit operating conditions s ,on the contrary ; The output constraints of coal-fired power units are: (37) in, , Respectively represent the unit g In working condition s The minimum and maximum output of For the crew g In the period t The actual output of The ramp constraints of coal-fired power units are: (38) (39) in, Represents coal-fired power units The maximum climbing rate, To relax the climbing rate; The minimum start and stop time constraint of coal-fired power units is: (40) (41) (42) (43) in, and Representing the units Minimum start-up and shutdown times; The power balance constraint is: (44) Among them, R is the new energy collection, The power of the new energy unit r at time t, is the power of load d at time t, and D is the set of loads in the system; The output constraints of new energy units are: (45) The line power flow constraint is: (46) in, For Line l The power transmission limit of For coal-fired power units g Node to line l The power transfer distribution factor, For new energy units r Node to line l The power transfer distribution factor, For load d Node to line l The power transfer distribution factor is L, where L represents the number of lines.

[0010] In a second aspect, the present invention provides a device for optimizing the dispatching of power system unit combinations, comprising: An acquisition module is used to acquire characteristic parameters of a set of units G in the power system and each unit g in the set of units G; The optimization dispatching module is used to solve the pre-established power system unit combination model taking into account the multi-operating-condition wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g, and obtain the optimization dispatching result of the power system unit combination; The dispatching module is used to dispatch the power system based on the optimization dispatching results of the power system unit combination.

[0011] A further improvement of the present invention is that in the step of obtaining characteristic parameters of the set G in the power system and each set g in the set G, the characteristic parameters of each set g specifically include: Startup costs ,unit Downtime costs ,unit Multi-operating conditions and wide power range operation cost .

[0012] A further improvement of the present invention is that in the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization dispatch result, the objective function of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is: (33) in, Indicates the unit Start-up costs, Indicates the unit Downtime costs, Indicates the unit In the period Boot action, Indicates the unit In the period The shutdown action, T is the time period set; Indicates the unit Multi-operating condition and wide power range operating cost.

[0013] A further improvement of the present invention lies in that: in the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization scheduling result, the constraints of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units include: logical constraints on the operating status of the coal-fired power units, logical constraints on the peak-shaving status of the coal-fired power units, output constraints of the coal-fired power units, climbing constraints of the coal-fired power units, minimum start and stop time constraints of the coal-fired power units, power balance constraints, output constraints of new energy units, line flow constraints and grid peak-shaving, climbing and frequency regulation demand constraints.

[0014] A further improvement of the present invention is that the power grid peak load regulation, ramp climbing and frequency regulation demand constraints specifically include: The grid peak load demand constraint is: (twenty two) (twenty three) Among them, I is the total number of units participating in peak load regulation, To adjust the peak demand, is the operating status of unit i at time t, is the maximum power of unit i in the basic peak load regulation stage, is the minimum power of unit i in the basic peak load regulation stage, is the power of unit i at time t, is the basic peak load regulation state of unit i at time t+1, T is the number of time periods in the scheduling cycle, To reduce peak demand, is the minimum power of the unit during the oil-loading peak load regulation stage, is the state of unit i in the oil injection peak regulation stage at time t+1; The climbing requirement constraint is: (28) (29) in, is the climbing ability of unit i; is the downhill climbing capability of unit i, For climbing needs, For downhill climbing needs; The frequency modulation requirement constraint is: (32) in, To adjust the system frequency.

[0015] A further improvement of the present invention is that the operating state logic constraint of the coal-fired power unit is: (34) (35) in, is the operating state of unit g at time t, is the startup state of unit g at time t+1, The unit g is in the shutdown state at time t+1; The logical constraints of the peak load regulation state of coal-fired power units are: (36) in, is the operating state of unit g at time t; Characterize the unit operating conditions s ,on the contrary ; The output constraints of coal-fired power units are: (37) in, , Respectively represent the unit g In working condition s The minimum and maximum output of For the crew g In the period t The actual output of The ramp constraints of coal-fired power units are: (38) (39) in, Represents coal-fired power units The maximum climbing rate, To relax the climbing rate; The minimum start and stop time constraint of coal-fired power units is: (40) (41) (42) (43) in, and Representing the units Minimum start-up and shutdown times; The power balance constraint is: (44) Among them, R is the new energy collection, The power of the new energy unit r at time t, is the power of load d at time t, and D is the set of loads in the system; The output constraints of new energy units are: (45) The line power flow constraint is: (46) in, For Line l The power transmission limit of For coal-fired power units g Node to line l The power transfer distribution factor, For new energy units rNode to line l The power transfer distribution factor, For load d Node to line l The power transfer distribution factor is L, where L represents the number of lines.

[0016] In a third aspect, the present invention provides an electronic device, comprising a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the method for optimizing the combination and dispatching of power system units.

[0017] In a third aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the method for optimizing the dispatching of power system unit combinations is implemented.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a method for optimizing the dispatching of power system unit combination, including: obtaining the characteristic parameters of the unit set G in the power system and each unit g in the unit combination G; solving the pre-established power system unit combination model taking into account the multi-operating-condition wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g, and obtaining the optimization dispatching result of the power system unit combination; dispatching the power system based on the optimization dispatching result of the power system unit combination. The present invention constructs a multi-operating-condition operation cost model of the unit, analyzes and models the peak load regulation, ramp climbing, and frequency regulation requirements of the power system, and gives the regulation capability of the coal-fired power units corresponding to the power system requirements, constructs the multi-dimensional regulation characteristic constraints of the power system, adds the relevant constraints to the unit combination model in the form of standby constraints, and enhances the support capability of the unit combination results for the multi-dimensional regulation of the power system; and adapts to the development and application of new power systems.

[0019] The present invention studies the multi-operating-condition wide power regulation characteristics of coal-fired power units, and effectively addresses the problems of insufficient overall system climbing capacity and insufficient frequency regulation capacity under special coal-fired power operation conditions. In particular, the improvement of the low inertia, weak frequency regulation, and limited climbing capacity during the three-state transition process of coal-fired power units during the deep regulation phase will be beneficial to optimizing the regulation resource allocation of the power grid, greatly improving the regulation level and operating costs of the power grid, while improving the level of new energy consumption, improving the economy of power grid operation and optimal resource allocation, and helping to build a new power system.

[0020] The present invention characterizes the operating cost of the unit during the deep peak regulation process, establishes a combined operating cost model for multi-condition and wide-power units of coal-fired power units, constructs multi-dimensional regulation characteristic constraints of the power system according to the peak regulation, ramp climbing and frequency regulation requirements of the power system, comprehensively considers the multi-condition and wide-power operating costs of coal-fired power units, system constraints and multi-dimensional regulation characteristics of the power system, and constructs a day-ahead unit combination model that adapts to the multi-condition and wide-power regulation characteristics of coal-fired power generation, so as to fully explore and give play to the system regulation role of coal-fired power in the process of energy transformation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of a flow chart of a method for optimizing the dispatching of power system unit combinations according to an embodiment of the present invention; Figure 2 This is a structural schematic diagram of a power system unit combination optimization dispatching device according to an embodiment of the present invention; Figure 3 The figure is a schematic structural diagram of an electronic device of the present invention. DETAILED DESCRIPTION

[0022] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0023] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0024] The embodiment of the present invention provides a method for optimizing the scheduling of a power system unit combination, comprising: first, in order to more accurately characterize the operating cost of the unit during deep peak regulation, the cost sources in the deep regulation process are modeled respectively, and a coal-fired power unit multi-condition wide power unit combination operating cost model is established; secondly, the peak regulation, ramp climbing, and frequency regulation requirements of the power system are analyzed and modeled, the regulation capability of the coal-fired power unit corresponding to the power system requirements is characterized, and the multi-dimensional regulation characteristic constraints of the power system are constructed; finally, the multi-condition wide power operating cost of the coal-fired power unit, the system constraints, and the multi-dimensional regulation characteristics of the power system are integrated to construct a day-ahead unit combination model that adapts to the multi-condition wide power regulation characteristics of the three-in-one coal-fired power plant.

[0025] The embodiment of the present invention provides a method for optimizing the combination and dispatching of power system units, in particular, a method for optimizing the combination and dispatching of power system units taking into account the multi-operating-condition wide power regulation characteristics of coal-fired power units, comprising: 1. Constraints on multi-operating conditions and wide power regulation of coal-fired power units (1) Coal consumption cost There are coal consumption costs in conventional peak load regulation, deep peak load regulation without oil injection, and deep peak load regulation with oil injection. The coal consumption cost is expressed by the fuel consumption characteristics in the form of a quadratic function: (1) in, Indicates the output of coal-fired power units, Indicates the start and stop status, the start status is 1 and the stop status is 0; Secondary, primary and constant cost function coefficients of coal-fired power units respectively.

[0026] The coal-fired power unit is in the basic peak-shaving stage and is basically consistent with the conventional economic dispatch model. Its coal consumption characteristic curve can be described as a quadratic function. The coal-fired power generation cost curve approximated by the quadratic function will bring unnecessary computational burden to the solution of the UC (Unit Commitment, UC, unit combination) problem. Therefore, the coal-fired power generation cost curve in the form of a quadratic function is generally piecewise linearized. The coal-fired power generation cost results obtained after piecewise linearization are as follows: (2) in, Represents the set of all segments; and They represent the generation cost curve of coal-fired power units after piecewise linearization. The segment outputs the upper and lower bounds, and It is the cost function coefficient after piecewise linearization of formula (1) into formula (2); at this point, the formula needs to be further processed to facilitate its processing as a linear constraint and embedding it into the UC model. The specific processing method is as follows: (3) Thus, the obtained piecewise linearized coal-fired power generation cost can approximately replace the coal-fired power generation cost curve in the form of a quadratic function. The accuracy and efficiency of the linearized segment number balance cost model can be adaptively determined as needed.

[0027] (2) Unit loss cost In addition to the coal consumption cost, the unit life depreciation cost must also be considered in both non-oil peak shaving and oil peak shaving. According to the Manson-coffin formula: (4) is the total rotor strain amplitude, is the fatigue strength coefficient of the material, is the elastic modulus, is the number of rotor cracking cycles, is the material fatigue strength index, is the fatigue ductility coefficient of the material. Under this condition, the rotor thermal stress and centrifugal tangential stress can be obtained through simulation, and the total strain amplitude of the rotor can be obtained. , solve the rotor cracking cycle , that is, to obtain the unit output Lower rotor cracking cycle , and then combined with the purchase cost , and the output is Unit loss cost .

[0028] (5) in, is the coefficient, represents the unit cost, The output is The number of rotor cracking cycles.

[0029] It is generally believed that as the output increases from the fuel injection stable combustion limit to the minimum technical output, the rotor loss will gradually decrease and gradually stabilize. This means that the rotor cracking cycle has a marginal decreasing effect as the unit output increases, indicating that the second-order derivative of the rotor cracking cycle function is negative, that is, (6) At this time, according to the second-order derivative of the cost function of the peak-shaving stage without oil injection and the peak-shaving stage with oil injection: (7) Obviously, the second-order derivatives of the cost functions of the peak-shaving stages without oil injection and the peak-shaving stages with oil injection are non-negative, so their cost functions in their respective stages are convex and can be linearized by referring to the cost function linearization method of conventional peak-shaving.

[0030] (3) Oil input cost The cost of oil injection needs to be considered under the oil injection peak load condition: (8) in, The output is The oil investment cost, For oil prices, The amount of oil injected.

[0031] (4) Comprehensive peak load regulation cost function Combining the cost models of the above stages, the multi-operating condition cost models of conventional peak regulation, non-oil peak regulation and oil peak regulation of coal-fired power units are combined by constructing a piecewise function, and a multi-operating condition wide power segmented operation cost model in the form of mixed integers is established: (9) Among them, subscripts 1, 2, and 3 represent the basic peak-shaving stage, the non-oil peak-shaving stage, and the oil peak-shaving stage, respectively; is the basic peak load operation cost, and They are the lower and upper limits of unit output in the basic peak-shaving stage respectively; In order to reduce the operating cost of peak load phase without oil investment, and They are the lower and upper limits of the unit output in the peak-shaving stage without oil injection; The operating cost of the oil peak load period is: and The lower and upper limits of the unit output during the peak load regulation phase without oil injection; (10) The segmented running cost is constructed into the following mixed integer running cost model with the help of disjunctive programming: (11) And need to meet: (12) (13) The cost function at this time has nonlinear costs, so it needs to be further linearized: (14) (15) (16) (17) At this point, the cost model is fully linearized and can be solved by a linear solver.

[0032] 2. Construct multi-dimensional regulation characteristic constraints of power system In order to improve the support of the optimization results for the multi-dimensional regulation characteristics requirements of the power system, relevant constraints on the multi-dimensional regulation characteristics requirements of the power system are added.

[0033] (1) Peak load constraint construction Peak shaving is the peak shaving service provided by the generator set in order to track the peak and valley changes of the load. In a system with a high penetration rate of new energy, in addition to the peak and valley changes of the load, the volatility of the output of new energy is also very significant. Therefore, the controllable grid-connected power supply on the power generation side needs to adjust the output or even change the operating state to track the peak and valley changes of the load or equivalent load. Peak shaving can be divided into upward peak shaving and downward peak shaving, that is, the power output must be able to climb up during the peak period of the load or equivalent load, and the power output must be able to fall down during the daily load valley period.

[0034] (18) (19) in, To adjust the peak demand, is the peak load reduction demand, B is the total number of system bus loads, b is the bus load index, is the predicted power of bus load b at time t+1, J is the total number of new energy plants, is the predicted power of bus load b at time t, is the predicted power of new energy plant j at time t+1, is the predicted power of renewable energy plant j at time t, and T is the number of time periods in the scheduling cycle.

[0035] Peak demand refers to the peak demand during the period t+1 Due to the changes in load and renewable energy output, in order to meet the power balance, the output of coal-fired power units should also change accordingly. Calculated by formula (18), if the period t+1 Considering that the increase in renewable energy output is smaller than the increase in load, the peak demand is increased. , that is, there is a demand for upward peak adjustment; downward peak adjustment According to formula (19), if the increase in the output of renewable energy is greater than the increase in load in the next period, then the peak demand will be reduced. , that is, there is a need to lower the peak.

[0036] (20) (twenty one) Among them, I is the total number of units participating in peak load regulation; is the operating status of unit i at time t, 1 for start-up and 0 for shutdown; is the power of unit i at time t; is the basic peak-shaving stage state of unit i at time t+1, 1 represents basic peak-shaving and 0 represents non-basic peak-shaving; is the maximum power of unit i in the basic peak load regulation stage, generally the maximum technical output of the unit, is the minimum power of unit i in the basic peak load regulation stage, is the minimum power of the unit during the oil-loading peak load regulation stage, is the state of unit i in the oil injection peak-shaving stage at time t+1, 1 is oil injection peak-shaving, and 0 is non-oil injection peak-shaving.

[0037] Peak load regulation capacity refers to the ability of coal-fired power units to change the overall output power of coal-fired power units by increasing or decreasing the unit output, or starting or shutting down the unit. The peak load regulation capacity is calculated by formula (20), which is the maximum output limit of the unit's conventional peak load regulation condition from the current output of all online units without stopping the coal-fired power units during this period. The upper peak regulation range. The lower peak regulation capacity is calculated by formula (21), which is the minimum output limit of the peak regulation condition from the current output of all online units to the oil injection depth. Additional peak-shaving capacity can be obtained by starting and stopping the unit, and additional upward peak-shaving capacity can be added when the unit is turned on. When the unit is shut down, the peak load reduction capacity of the unit during this period is .

[0038] Based on the peak-shaving demand and peak-shaving capacity, in order to ensure that the peak-shaving capacity of coal-fired power units meets the peak-shaving demand of the power system in the unit combination result, the peak-shaving demand constraint of the power system can be constructed as follows: (twenty two) (twenty three) (2) Construction of climbing constraints Ramping is a service provided by grid-connected entities with a strong load regulation rate to adjust their output according to dispatch instructions to maintain system power balance in response to short-term and large changes in the net load of the system caused by uncertain factors such as fluctuations in renewable energy generation. When the system's upward climbing capacity is insufficient, the system faces the risk of power rationing due to insufficient supply; when the system's downward climbing capacity is insufficient, the system faces the risk of power abandonment due to excessive supply. Ramping demand refers to the need for coal-fired power units to increase or decrease their output between two time periods in order to track the peak and valley changes in load and the fluctuations in the output of new energy.

[0039] (twenty four) (25) in To represent the period of time for the uphill demand t arrive t+1 The power system requires coal-fired power units to increase their output due to load changes and fluctuations in the output of new energy sources. For downhill demand, characterize the period t arrivet+1 The power system requires coal-fired power units to reduce their output due to load changes and fluctuations in the output of renewable energy.

[0040] (26) (27) in, is the climbing ability of unit i; is the downhill climbing capability of unit i.

[0041] Rampability refers to the maximum power change that a coal-fired power unit can make during a period of time while ensuring physical safety constraints. Without considering the start and stop of the unit, the ramp capability of a coal-fired power unit is the maximum ramp power of all online units. The down-ramp capacity of coal-fired power units is the maximum down-ramp power of all online units. sum.

[0042] Based on the ramping demand and ramping capacity, in order to ensure that the ramping capacity of coal-fired power units meets the ramping demand of the power system in the unit combination result, the power system ramping demand constraint can be constructed: (28) (29) It can be seen that in fact, peak shaving and ramping correspond to each other in terms of demand, and both require the difference between the output of the unit in two adjacent time periods. In terms of the capacity of peak shaving and ramping, they complement each other. The peak shaving capacity ensures that there is margin for the increase or decrease of the total output of the unit from the unit capacity, while the ramping capacity ensures that the increase or decrease of the unit output is feasible at the physical level (heating and force).

[0043] (3) Construction of frequency modulation demand constraints In order to ensure the frequency regulation demand and frequency stability, the sum of the capacities of the online units is larger, the corresponding rotational inertia is larger, the frequency change caused by interference is smaller, and the frequency regulation space and capacity are larger. The frequency regulation demand is represented by the total online installed capacity required to ensure the frequency regulation: (30) in, To regulate the system frequency; Correspondingly, the frequency regulation capability of coal-fired power units is: (31) Based on the frequency regulation demand and frequency regulation capacity, in order to ensure that the unit combination results make the ramping capacity of the coal-fired power units meet the power system frequency regulation demand, the power system frequency regulation demand constraint can be constructed as follows: (32) 3. Power system unit combination model considering the multi-operating conditions and wide power regulation characteristics of coal-fired power units The day-ahead unit combination model that adapts to the wide power regulation characteristics of coal-fired power generation, multiple operating conditions, and are adapted to meet the system load demand and unit operation constraints. It arranges the start and stop, operating conditions, and output of the units based on the unit energy consumption and other characteristics, while giving full play to the deep peak-shaving capability of coal-fired power units, minimizing the total power generation cost of the system and optimizing the operating economy.

[0044] (1) Model objectives The objective function of the day-ahead unit combination model that adapts to the characteristics of coal-fired power generation, multiple operating conditions and wide power regulation is to minimize the operating cost of the power system, which includes the operating cost of the unit in multiple operating conditions and wide power segmentation. , unit start-up and shutdown costs. The start-up and shutdown costs of thermal power units include startup costs and shutdown costs. The startup cost represents the cost required for the thermal power unit to switch from the shutdown state to the startup state, which is a constant. The shutdown cost represents the cost required for the thermal power unit to switch from the startup state to the shutdown state, which is a constant.

[0045] set up For the crew At the moment If the unit is turned on, ;otherwise, .set up Indicates the unit At the moment The start signal, if the unit is The power is off at all times. When the power is on, ;otherwise, .set up Indicates the unit At the moment If the unit is in The machine is always powered on. When the power is turned off, ;otherwise, By defining the above three types of integer variables, the startup status of the unit can be accurately described. Taking into account the start-stop cost and the multi-condition wide power operation cost, the objective function is constructed as follows: (33) in, Indicates the unit Start-up costs, Indicates the unit Downtime costs, Indicates the unit In the period Boot action, Indicates the unit In the period The shutdown action; G is the set of units, T is the time period set; Indicates the unit Multi-operating condition and wide power range operating cost.

[0046] (2) Model constraints Model constraints include coal-fired power unit constraints, system constraints and regulation characteristic constraints: 1) Logical constraints on the operating status of coal-fired power units The unit operation state logic constraint represents the operating state of the generator g in the system. With the startup and shutdown status ( , ). If the generator g is started at time t, that is, and , then there is ;otherwise, Similarly, if the generator g is turned off at time t, that is, and , then ;otherwise The above logic can be specifically described as: (34) (35) 2) Logical constraints on peak load regulation of coal-fired power units In order to describe the status of the unit in different working conditions during peak load operation, three groups of 0-1 variables are introduced , Characterize the operating conditions of coal-fired power units s ,on the contrary In the same period, a coal-fired power unit can only operate in one operating condition at most, and operating in any operating condition means that the coal-fired power unit is online. ,on the contrary Among them, the working condition s specifically includes the basic peak-shaving stage, the non-oil peak-shaving stage, and the oil peak-shaving stage. The above logic can be specifically described as: (36) 3) Output constraints of coal-fired power units The unit operation should meet the corresponding output upper and lower limits and cannot operate outside the output range. In addition, the unit output upper and lower limits are different under different working conditions, which can be expressed as: (37) in, , Respectively represent the unit g In working condition sThe minimum and maximum output of For the crew g In the period t The actual output. The maximum output limit depends on the rated capacity of the unit design and manufacturing, and the rated capacity is the maximum capacity that can be continuously output during the entire normal service life. The minimum output limit, also known as the technical minimum output, refers to the minimum output that must be issued by the unit for the boiler to burn stably and the generator set to operate continuously and stably under the technical conditions. The minimum stable output of a thermal power generating unit is an important performance indicator. A unit with a small stable output and a large output adjustment range can meet the needs of peak load regulation in the power system. This value is affected by differences in coal quality, the diversity of boiler operating conditions, and differences in power plant unit equipment, and should be determined separately based on test data and operating experience.

[0047] In multi-condition operation, the output limits under different conditions are the unit's conventional maximum output, the limit of stable combustion without oil injection, and the limit of stable combustion with oil injection. Respectively and corresponding working conditions s The output limits of the units are multiplied and superimposed to ensure that the output of the unit is limited to the upper and lower limits of the output of the unit's operating conditions.

[0048] 4) Coal-fired power unit ramp constraints The maximum ramp rate boundary means that when the unit is running continuously, the output change between two consecutive adjacent periods cannot exceed a certain threshold, which is modeled as: (38) (39) in, Represents coal-fired power units In order to avoid the inability to start and stop normally due to the maximum climbing rate limit, the climbing rate in the start and stop state is relaxed. When the coal-fired power unit changes from the shutdown state to the start state, the maximum climbing constraint is relaxed to , It is obtained by expanding the custom or preset relaxation factor. When the machine changes from the start state to the stop state, the maximum downhill slope should also be relaxed to .

[0049] 5) Minimum start and stop time constraints for coal-fired power units It takes a certain amount of time for a thermal power unit to start or shut down from a shutdown state. Therefore, combined with the start and stop state logic variables of the unit, the minimum start and stop time constraint is: (40) (41) (42) (43) in and Representing the units The minimum start and stop time. This is because the start and stop of the thermal power unit is realized by the start and stop of the boiler and the steam turbine. The frequent start and stop of the boiler will cause damage to the boiler pipe joints, and the frequent start and stop of the steam turbine will cause the shaft to bend, which will greatly reduce the life of the thermal power unit. In order to reduce the wear of parts and mechanical fatigue, the thermal power unit cannot be started and stopped continuously in a short period of time.

[0050] 6) Power balance constraints The power balance of the power system refers to the balance between power supply and demand, which requires that the total power generation and total load of the power system should be balanced at all times. The research objects in this model include thermal power units, hydropower units, photovoltaic power generation systems, wind power units and loads, ignoring transmission losses. Divide the time interval into , the power balance constraint can be written as the sum of the output power of various generator sets is equal to the power of various loads, which can be expressed as: (44) Among them, R is the new energy collection, The power of the new energy unit r at time t, is the power of load d at time t, and D is the load set in the system.

[0051] 7) Output constraints of new energy units (45) 8) Line flow constraints The grid is a power transmission network, and its physical boundary is the maximum transmission capacity boundary of the line. The impact on the consumption of renewable energy is mainly due to the insufficient maximum transmission capacity and line congestion. The maximum transmission capacity boundary is usually modeled by DC power flow, as shown below. The maximum transmission capacity boundary of the line means that the power flowing through the line cannot exceed a certain threshold, and is usually modeled by DC power flow as follows: (46) in, For Line l The power transmission limit of For coal-fired power units g Node to line l The power transfer distribution factor, For new energy units r Node to line l The power transfer distribution factor, For loadd Node to line l The power transfer distribution factor is L, where L represents the number of lines.

[0052] 9) Constraints on power grid peak load regulation, ramp climbing and frequency regulation: The details are as described in formulas (22)(23)(28)(29)(32).

[0053] See also Figure 1 As shown, an embodiment of the present invention provides a method for optimizing the dispatching of power system unit combinations, including: S1. Obtain characteristic parameters of the unit set G in the power system and each unit g in the unit combination G; In a specific implementation manner, in the step of obtaining characteristic parameters of the set of units G in the power system and each unit g in the set of units G, the characteristic parameters of each unit g specifically include: Startup costs ,unit Downtime costs ,unit Multi-operating conditions and wide power range operation cost ; S2. Solve the pre-established power system unit combination model taking into account the multi-operating-condition wide power regulation characteristics of coal-fired power units based on the characteristic parameters of each unit g, and obtain the power system unit combination optimization dispatch result; S3. Dispatch the power system based on the results of the optimal dispatch of the power system unit combination.

[0054] In a specific implementation manner, in the step of obtaining characteristic parameters of the set of units G in the power system and each unit g in the set of units G, the characteristic parameters of each unit g specifically include: Startup costs ,unit Downtime costs ,unit Multi-operating conditions and wide power range operation cost .

[0055] In a specific implementation, in the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization dispatch result, the objective function of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is: (33) in, Indicates the unit Start-up costs, Indicates the unit Downtime costs, Indicates the unit In the period Boot action, Indicates the unit In the period The shutdown action, T is the time period set; Indicates the unit In the period Multi-condition and wide power range operating costs.

[0056] In a specific implementation, the multi-operating-condition wide power segment operation cost model is: (9) Among them, subscripts 1, 2, and 3 represent the basic peak-shaving stage, the non-oil peak-shaving stage, and the oil peak-shaving stage, respectively; is the basic peak load operation cost, and They are the lower and upper limits of unit output in the basic peak-shaving stage respectively; In order to reduce the operating cost of peak load phase without oil investment, and They are the lower and upper limits of the unit output in the peak-shaving stage without oil injection; The operating cost of the oil peak load period is: and The lower and upper limits of the unit output during the peak load regulation phase without oil injection; (10); The segmented running cost is constructed into the following mixed integer running cost model with the help of disjunctive programming: (11) And need to meet: (12) (13) The cost function at this time has nonlinear costs, so it needs to be further linearized: (14) (15) (16) (17) At this point, the cost model is fully linearized and can be solved by a linear solver.

[0057] In a specific embodiment, in the step of solving a pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization scheduling result, the constraints of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of coal-fired power units include: logical constraints on the operating status of coal-fired power units, logical constraints on the peak-shaving status of coal-fired power units, output constraints of coal-fired power units, climbing constraints of coal-fired power units, minimum start and stop time constraints of coal-fired power units, power balance constraints, output constraints of new energy units, line flow constraints, and grid peak-shaving, climbing, and frequency regulation demand constraints.

[0058] In a specific implementation, the power grid peak load regulation, ramp climbing, and frequency regulation demand constraints specifically include: The grid peak load demand constraint is: (twenty two) (twenty three) Among them, I is the total number of units participating in peak load regulation, To adjust the peak demand, is the operating status of unit i at time t, is the maximum power of unit i in the basic peak load regulation stage, is the minimum power of unit i in the basic peak load regulation stage, is the power of unit i at time t, is the basic peak load regulation state of unit i at time t+1, T is the number of time periods in the scheduling cycle, To reduce peak demand, is the minimum power of the unit during the oil-loading peak load regulation stage, is the state of unit i in the oil injection peak regulation stage at time t+1; The climbing requirement constraint is: (28) (29) in, is the climbing ability of unit i; is the downhill climbing capability of unit i, For climbing needs, For downhill climbing needs; The frequency modulation requirement constraint is: (32) in, To adjust the system frequency.

[0059] In a specific implementation, the coal-fired power unit operation state logic constraint is: (34) (35) in, is the operating state of unit g at time t, is the startup state of unit g at time t+1, The unit g is in the shutdown state at time t+1; The logical constraints of the peak load regulation state of coal-fired power units are: (36) in, is the operating state of unit g at time t; Characterize the unit operating conditions s ,on the contrary ; The output constraints of coal-fired power units are: (37) in, , Respectively represent the unit g In working condition s The minimum and maximum output of For the crew g In the period t The actual output of The ramp constraints of coal-fired power units are: (38) (39) in, Represents coal-fired power units The maximum climbing rate, To relax the climbing rate; The minimum start and stop time constraint of coal-fired power units is: (40) (41) (42) (43) in, and Representing the units Minimum start-up and shutdown times; The power balance constraint is: (44) Among them, R is the new energy collection, The power of the new energy unit r at time t, is the power of load d at time t, and D is the set of loads in the system; The output constraints of new energy units are: (45) The line power flow constraint is: (46) in, For Line l The power transmission limit of For coal-fired power units g Node to line l The power transfer distribution factor, For new energy units r Node to line l The power transfer distribution factor, For load d Node to line l The power transfer distribution factor is L, where L represents the number of lines.

[0060] See also Figure 2 As shown, the present invention provides a power system unit combination optimization dispatching device, comprising: An acquisition module is used to acquire characteristic parameters of a set of units G in the power system and each unit g in the set of units G; The optimization dispatching module is used to solve the pre-established power system unit combination model taking into account the multi-operating-condition wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g, and obtain the optimization dispatching result of the power system unit combination; The dispatching module is used to dispatch the power system based on the optimization dispatching results of the power system unit combination.

[0061] See also Figure 3 As shown, the present invention also provides an electronic device 100 for implementing a method for optimizing the combined dispatching of power system units; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0062] The memory 101 can be used to store the computer program 103, and the processor 102 implements the steps of the above-mentioned power system unit combination optimization dispatching method by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0063] The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and uses various interfaces and lines to connect various parts of the entire electronic device 100.

[0064] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for optimizing the dispatching of power system unit combinations, and the processor 102 can execute the plurality of instructions to implement: Obtain characteristic parameters of the unit set G in the power system and each unit g in the unit combination G; Based on the characteristic parameters of each unit g, the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is solved to obtain the optimal dispatching result of the power system unit combination; The power system is dispatched based on the results of the optimal dispatch of power system unit combinations.

[0065] If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0066] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention 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.

[0067] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. 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 data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing 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.

[0068] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0069] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the dispatching of power system unit combinations, characterized in that: include: Obtain characteristic parameters of the unit set G in the power system and each unit g in the unit combination G; Based on the characteristic parameters of each unit g, the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is solved to obtain the optimal dispatching result of the power system unit combination; The power system is dispatched based on the results of the optimal dispatch of power system unit combinations.

2. The method for optimizing the dispatching of power system unit combination according to claim 1, characterized in that: In the step of obtaining characteristic parameters of the set G of the power system and each set g in the set G, the characteristic parameters of each set g specifically include: Startup costs ,unit Downtime costs ,unit Multi-operating conditions and wide power range operation cost .

3. The method for optimizing the dispatching of power system unit combination according to claim 1, characterized in that: In the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization dispatch result, the objective function of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is: （33） in, Indicates the unit Start-up costs, Indicates the unit Downtime costs, Indicates the unit In the period Boot action, Indicates the unit In the period The shutdown action, T is the time period set; Indicates the unit In the period Multi-condition and wide power range operating costs.

4. The method for optimizing the dispatching of power system unit combination according to claim 3, characterized in that: In the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization scheduling result, the constraints of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units include: logical constraints on the operating status of the coal-fired power units, logical constraints on the peak-shaving status of the coal-fired power units, output constraints of the coal-fired power units, climbing constraints of the coal-fired power units, minimum start and stop time constraints of the coal-fired power units, power balance constraints, output constraints of new energy units, line flow constraints, and grid peak-shaving, climbing, and frequency regulation demand constraints.

5. The method for optimizing the dispatching of power system unit combination according to claim 4, characterized in that: The power grid peak load regulation, ramp climbing and frequency regulation demand constraints specifically include: The grid peak load demand constraint is: （22） （23） Among them, I is the total number of units participating in peak load regulation, To adjust the peak demand, is the operating status of unit i at time t, is the maximum power of unit i in the basic peak load regulation stage, is the minimum power of unit i in the basic peak load regulation stage, is the power of unit i at time t, is the basic peak load regulation state of unit i at time t+1, T is the number of time periods in the scheduling cycle, To reduce peak demand, is the minimum power of the unit during the oil-loading peak load regulation stage, is the state of unit i in the oil injection peak regulation stage at time t+1; The climbing requirement constraint is: （28） （29） in, is the climbing ability of unit i; is the downhill climbing capability of unit i, For climbing needs, For downhill climbing needs; The frequency modulation requirement constraint is: （32） in, To adjust the system frequency.

6. The method for optimizing the dispatching of power system unit combination according to claim 4, characterized in that: The coal-fired power unit operating state logical constraints are: （34） （35） in, is the operating state of unit g at time t, is the startup state of unit g at time t+1, The unit g is in the shutdown state at time t+1; The logical constraints of the peak load regulation state of coal-fired power units are: （36） in, is the operating state of unit g at time t; Characterize the unit operating conditions s ,on the contrary ; The output constraints of coal-fired power units are: （37） in, , Respectively represent the unit g In working condition s The minimum and maximum output of For the crew g In the period t The actual output of The ramp constraints of coal-fired power units are: （38） （39） in, Coal-fired power unit The maximum climbing rate, To relax the climbing rate; The minimum start and stop time constraint of coal-fired power units is: （40） （41） （42） （43） in, and Representing the units Minimum start-up and shutdown times; The power balance constraint is: （44） Among them, R is the new energy collection, The power of the new energy unit r at time t, is the power of load d at time t, and D is the set of loads in the system; The output constraints of new energy units are: （45） The line power flow constraint is: （46） in, For line l The power transmission limit of For coal-fired power units g Node to line l The power transfer distribution factor, For new energy units r Node to line l The power transfer distribution factor, For load d Node to line l The power transfer distribution factor is L, where L represents the number of lines.

7. The power system unit combination optimization dispatching device is characterized by: include: An acquisition module is used to acquire characteristic parameters of a set of units G in the power system and each unit g in the set of units G; The optimization dispatching module is used to solve the pre-established power system unit combination model taking into account the multi-operating-condition wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g, and obtain the optimization dispatching result of the power system unit combination; The dispatching module is used to dispatch the power system based on the optimization dispatching results of the power system unit combination.

8. The power system unit combination optimization dispatching device according to claim 7, characterized in that: In the step of obtaining characteristic parameters of the set G of the power system and each set g in the set G, the characteristic parameters of each set g specifically include: Startup costs ,unit Downtime costs ,unit Multi-operating conditions and wide power range operation cost .

9. The power system unit combination optimization dispatching device according to claim 1, characterized in that: In the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization dispatch result, the objective function of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units is: （33） in, Indicates the unit Start-up costs, Indicates the unit Downtime costs, Indicates the unit In the period Boot action, Indicates the unit In the period The shutdown action, T is the time period set; Indicates the unit Multi-operating condition and wide power range operating cost.

10. The power system unit combination optimization dispatching device according to claim 9, characterized in that: In the step of solving the pre-established power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units based on the characteristic parameters of each unit g to obtain the power system unit combination optimization scheduling result, the constraints of the power system unit combination model taking into account the multi-operating conditions and wide power regulation characteristics of the coal-fired power units include: logical constraints on the operating status of the coal-fired power units, logical constraints on the peak-shaving status of the coal-fired power units, output constraints of the coal-fired power units, climbing constraints of the coal-fired power units, minimum start and stop time constraints of the coal-fired power units, power balance constraints, output constraints of new energy units, line flow constraints, and grid peak-shaving, climbing, and frequency regulation demand constraints.

11. The power system unit combination optimization dispatching device according to claim 10, characterized in that: The power grid peak load regulation, ramp climbing and frequency regulation demand constraints specifically include: The grid peak load demand constraint is: （22） （23） Among them, I is the total number of units participating in peak load regulation, To adjust the peak demand, is the operating status of unit i at time t, is the maximum power of unit i in the basic peak load regulation stage, is the minimum power of unit i in the basic peak load regulation stage, is the power of unit i at time t, is the basic peak load regulation state of unit i at time t+1, T is the number of time periods in the scheduling cycle, To reduce peak demand, is the minimum power of the unit during the oil-loading peak load regulation stage, is the state of unit i in the oil injection peak regulation stage at time t+1; The climbing requirement constraint is: （28） （29） in, is the climbing ability of unit i; is the downhill climbing capability of unit i, For climbing needs, For downhill climbing needs; The frequency modulation requirement constraint is: （32） in, To adjust the system frequency.

12. The power system unit combination optimization dispatching device according to claim 10, characterized in that: The coal-fired power unit operating state logical constraints are: （34） （35） in, is the operating state of unit g at time t, is the startup state of unit g at time t+1, The unit g is in the shutdown state at time t+1; The logical constraints of the peak load regulation state of coal-fired power units are: （36） in, is the operating state of unit g at time t; Characterize the unit operating conditions s ,on the contrary ; The output constraints of coal-fired power units are: （37） in, , Respectively represent the unit g In working condition s The minimum and maximum output of For the crew g In the period t The actual output of The ramp constraints of coal-fired power units are: （38） （39） in, Coal-fired power unit The maximum climbing rate, To relax the climbing rate; The minimum start and stop time constraint of coal-fired power units is: （40） （41） （42） （43） in, and Representing the units Minimum start-up and shutdown times; The power balance constraint is: （44） Among them, R is the new energy collection, The power of the new energy unit r at time t, is the power of load d at time t, and D is the set of loads in the system; The output constraints of new energy units are: （45） The line power flow constraint is: （46） in, For line l The power transmission limit of For coal-fired power units g Node to line l The power transfer distribution factor, For new energy units r Node to line l The power transfer distribution factor, For load d Node to line l The power transfer distribution factor is L, where L represents the number of lines.

13. An electronic device, characterized in that: It comprises a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement the power system unit combination optimization scheduling method as claimed in any one of claims 1 to 6.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by the processor, the method for optimizing the dispatching of power system unit combination as described in any one of claims 1 to 6 is implemented.

Images