Operation control method and device of water-wind-light complementary power generation system and electronic equipment

Abstract

The invention relates to an operation control method and device of a water-wind-light complementary power generation system and electronic equipment, and the operation control method of the water-wind-light complementary power generation system comprises the steps: determining an instruction adjustment characteristic of an automatic power generation control instruction; determining the instruction tracking performance of the automatic power generation control instruction according to the instruction adjustment characteristic; determining an objective function of the hierarchical control model according to the unit loss parameter of the water-wind-light complementary power generation system, the capacity cost parameter of the reserve capacity and the instruction tracking performance; and controlling the water-wind-light complementary power generation system to operate and generate power based on hierarchical control information generated by the target function. According to the method, the water-wind-light power generation system can more accurately respond to the automatic power generation control instruction, the tracking deviation is reduced, the stability of the power grid frequency is improved, the loss and the cost caused by frequent adjustment are reduced, the operation efficiency of the water-wind-light complementary power generation system is improved, and the operation loss of the water-wind-light complementary power generation system is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power generation, and in particular to a water-wind-solar complementary power generation system operation control method and device and electronic equipment. BACKGROUND

[0002] In a traditional power grid, to ensure stable and reliable power supply, the dispatching department controls the generator set in real time through the AGC (Automatic Generation Control) system, so that the output power is automatically adjusted with the load change, and the grid frequency is stabilized. With the large-scale grid connection of renewable energy sources such as wind power and photovoltaic power, the intermittency and volatility of power generation bring challenges to the stability of the grid frequency.

[0003] In the related art, the AGC system is only set for a single energy unit, and the differences and mutual influences of the power generation characteristics of multiple energy units are not fully considered, resulting in the problems of poor command tracking performance, low regulation accuracy, and large unit loss of the AGC system in the water-wind-solar complementary power generation system. SUMMARY

[0004] To solve the above technical problems, the present application provides a water-wind-solar complementary power generation system operation control method, device and electronic equipment.

[0005] In a first aspect, the present application provides a water-wind-solar complementary power generation system operation control method, which comprises: determining the command regulation characteristics of the automatic generation control command; determining the command tracking performance of the automatic generation control command according to the command regulation characteristics; determining the objective function of the hierarchical control model according to the unit loss parameters of the water-wind-solar complementary power generation system, the capacity cost parameters of the standby capacity, and the command tracking performance; and controlling the water-wind-solar complementary power generation system to generate power based on the hierarchical control information generated by the objective function.

[0006] In a second aspect, the present application provides a water-wind-solar complementary power generation system operation control device, which comprises: a determination module for determining the command regulation characteristics of the automatic generation control command; a determination module for determining the command tracking performance of the automatic generation control command according to the command regulation characteristics; a determination module for determining the objective function according to the unit loss parameters of the water-wind-solar complementary power generation system, the capacity cost parameters of the standby capacity, and the command tracking performance; and a control module for controlling the water-wind-solar complementary power generation system to generate power based on the hierarchical control information generated by the objective function.

[0007] In a third aspect, the present application provides an electronic device comprising: a memory for storing a computer program; and a processor for executing the computer program to implement the steps of the water-wind-solar complementary power generation system operation control method in the first aspect.

[0008] In a fourth aspect, the present application provides a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the steps of the operation control method of the water-wind-solar complementary power generation system according to the first aspect.

[0009] Compared with the prior art, the technical scheme provided by the embodiments of the present application has the following advantages:

[0010] In the embodiments of the present application, the instruction tracking performance is taken as an evaluation index, which can accurately quantify the tracking effect of the automatic generation control instruction, so that the water-wind-solar power generation system can more accurately respond to the automatic generation control instruction, reduce tracking deviation, and improve the stability of the power grid frequency. The capacity cost parameter and the unit loss parameter are also considered comprehensively, so as to measure the loss of the water-wind-solar complementary power generation system, optimize the operation mode of the water-wind-solar complementary power generation system, reduce the loss and cost caused by frequent adjustment, improve the operation efficiency of the water-wind-solar complementary power generation system, and reduce the operation loss of the water-wind-solar complementary power generation system. Moreover, the evaluation index of the instruction tracking performance of the automatic generation control instruction, the unit loss parameter of the water-wind-solar complementary power generation system, and the capacity cost parameter of the standby capacity are taken as the objective function, the objective function is solved, a layered coordinated control scheme balancing the equipment loss and power generation benefit is obtained, the influence of the equipment loss on the benefit of the water-wind-solar complementary power generation system is reduced while improving the stability of the power grid operation. BRIEF DESCRIPTION OF DRAWINGS

[0011] The accompanying drawings, which are incorporated into and form a part of the specification, illustrate one embodiment consistent with the present application and, together with the description, serve to explain the principles of the application.

[0012] In order to more clearly illustrate the technical schemes in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor.

[0013] Figure 1 A flow chart of the operation control method of the water-wind-solar complementary power generation system in some embodiments of the present application is shown;

[0014] Figure 2 A structural block diagram of the operation control device of the water-wind-solar complementary power generation system in some embodiments of the present application is shown;

[0015] Figure 3 A structural block diagram of an electronic device in some embodiments of the present application is shown. DETAILED DESCRIPTION

[0016] Embodiments of the present application will be described in more detail with reference to the drawings. While several embodiments of the application are shown in the drawings, it is understood that the application can be embodied in various forms and should not be construed as limited to the embodiments set forth in the description. Rather, these embodiments are provided as a full and enabling disclosure of the application, and to fully convey its scope to those skilled in the art. It is understood that the drawings and detailed description associated therewith are merely exemplary and explanatory and do not limit the application in any way.

[0017] It should be understood that the various steps of the method embodiments of the present application can be performed in different orders and / or in parallel. In addition, the method embodiments can include additional steps and / or omit performing the steps shown. The scope of the present application is not limited in this respect.

[0018] The term "comprising" and variations thereof as used herein are used inclusively, i.e., "comprising, but not limited to." The term "based on" is "based at least in part on." The term "one embodiment" means "at least one embodiment." The term "another embodiment" means "at least one additional embodiment." The term "some embodiments" means "at least some embodiments." Related definitions are given below in the detailed description.

[0019] It should be noted that the terms "first", "second", and the like used in the present application are merely used to distinguish different devices, modules or units, and do not imply the order or interdependence of the functions performed by these devices, modules or units.

[0020] It should be noted that the terms "one", "multiple" used in the present application are illustrative and not restrictive, and those skilled in the art should understand that "one" or "multiple" should be understood as "one or more" unless otherwise explicitly stated in the context.

[0021] The names of the messages or information exchanged between the devices in the embodiments of the present application are used only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0022] To solve the above problems, the embodiments of the present application provide a water, wind and light complementary power generation system operation control method, device, equipment and readable storage medium.

[0023] The embodiments of the present application will be described in detail below Figure 1 The operation control method provided by the embodiments of the present application will be described in detail.

[0024] Figure 1 A flowchart of the operation control method in some embodiments of the present application is shown, and in the embodiments of the present application, the operation control method is applied to a water, wind and light complementary power generation system. Among them, the water, wind and light complementary power generation system includes a water electronic system, a wind power electronic system and a photovoltaic electronic system, such as Figure 1As shown, the operation control method of the water-wind-solar complementary power generation system comprises the following steps:

[0025] Step 102, determining the instruction adjustment characteristic of the automatic generation control instruction;

[0026] In this embodiment, the instruction adjustment model of the automatic generation control instruction is established, so as to analyze the instruction adjustment characteristic of the automatic generation control instruction and determine the instruction adjustment characteristic. It should be noted that the instruction adjustment characteristic includes but is not limited to: output change stability characteristic, dead zone characteristic, standby capacity response delay characteristic, standby capacity and water-wind-solar time coupling characteristic, wherein the standby capacity is the distributed standby capacity.

[0027] Step 104, determining the instruction tracking performance of the automatic generation control instruction according to the instruction adjustment characteristic;

[0028] In this embodiment, the instruction tracking success probability of the automatic generation control instruction and the instruction tracking deviation electric quantity of the automatic generation control instruction are taken as evaluation indexes, so as to determine the instruction tracking performance of the automatic generation control instruction.

[0029] Step 106, determining the target function according to the unit loss parameter of the water-wind-solar complementary power generation system, the capacity cost parameter of the standby capacity and the instruction tracking performance;

[0030] In this embodiment, the loss evaluation model of the water-wind-solar complementary power generation system unit is constructed, and the capacity cost model of the distributed standby capacity of the water-wind-solar complementary power generation system is constructed, and the loss evaluation model and the capacity cost model can measure the operation economy of the water-wind-solar complementary system. The loss evaluation model can be used to determine the unit loss parameter of the water-wind-solar complementary power generation system, and the capacity cost model can be used to determine the capacity cost parameter of the standby capacity.

[0031] In this embodiment, the hierarchical control model of the hierarchical control comprehensive benefit optimization of the automatic generation control instruction is established, and the instruction tracking performance, the capacity cost parameter and the unit loss parameter are taken as the target function of the hierarchical control model.

[0032] Step 108, controlling the operation of the water-wind-solar complementary power generation system to generate electricity based on the hierarchical control information generated by the target function.

[0033] In this embodiment, after the target function of the hierarchical control model is determined, the constraint condition is further considered, and the weight values corresponding to the instruction tracking performance item, the capacity cost parameter item and the unit loss parameter item in the target function are obtained by solving the target function by using the improved fish-eagle algorithm, so as to determine the hierarchical control information of the balance equipment cost and the power generation message of the water-wind-solar complementary power generation system, determine the hierarchical coordination control scheme of the automatic generation control instruction based on the hierarchical control information, and control the operation of the water-wind-solar complementary power generation system.

[0034] In the embodiments of the present application, the instruction tracking performance is taken as an evaluation index, which can accurately quantify the tracking effect of the automatic generation control instruction, so that the water, wind and light generation system can more accurately respond to the automatic generation control instruction, reduce the tracking deviation and improve the stability of the power grid frequency. The capacity cost parameter and the unit loss parameter are also considered comprehensively, so as to measure the loss of the water, wind and light complementary generation system, optimize the operation mode of the water, wind and light complementary generation system, reduce the loss and cost caused by frequent adjustment, improve the operation efficiency of the water, wind and light complementary generation system and reduce the operation loss of the water, wind and light complementary generation system. Moreover, the evaluation index of the instruction tracking performance of the automatic generation control instruction, the unit loss parameter of the water, wind and light complementary generation system and the capacity cost parameter of the standby capacity are taken as the objective function, the objective function is solved, the hierarchical coordination control scheme balancing the equipment loss and the power generation benefit is obtained, the influence of the equipment loss on the benefit of the water, wind and light complementary generation system is reduced while the operation stability of the power grid is improved.

[0035] In some embodiments of the present application, the instruction adjustment characteristic includes at least one of the following: output change smoothness characteristic, dead zone characteristic, standby capacity response delay characteristic, time coupling characteristic of standby capacity and water, wind and light; the instruction adjustment characteristic of the automatic generation control instruction is determined, including:

[0036] The output change smoothness characteristic is determined according to the output change variance of the water, wind and light system; the dead zone characteristic is determined according to the change threshold value, the change threshold value being a threshold value determined based on the actual response output of the water, wind and light complementary generation system and the instruction change amount of the automatic generation control instruction; the standby capacity response delay characteristic is determined according to the system response delay time of the water, wind and light complementary generation system; and the time coupling characteristic of standby capacity and water, wind and light is determined according to the total adjustment amount of the water, wind and light complementary generation system, the adjustment time window, the maximum adjustment rate, the standby capacity set, the time coupling coefficient and the capacity adjustment amount of the standby capacity.

[0037] In the embodiments, the adjustment characteristic of the automatic generation control instruction includes the output change smoothness characteristic, the dead zone characteristic, the standby capacity response delay characteristic and the time coupling characteristic of standby capacity and water, wind and light. The processing change smoothness characteristic is used to represent the processing change smoothness characteristic of the water, wind and light complementary system under the control of the automatic generation control instruction; the dead zone characteristic is used to represent the control dead zone of the automatic generation control instruction; the standby capacity response delay characteristic is used to represent the delay characteristic of the standby capacity of the water, wind and light complementary generation system when the standby capacity is called by the automatic generation control instruction; and the time coupling characteristic of standby capacity and water, wind and light is used to represent the coupling characteristic of the call of the standby capacity and the adjustment of water, wind and light in the time scale.

[0038] The output change smoothness characteristic, the dead zone characteristic, the standby capacity response delay characteristic, and the standby capacity and water, wind, and light time coupling characteristic are described in detail as follows:

[0039] The output change smoothness characteristic is determined according to the output change variance of the water, wind, and light system, wherein the expression (1) of the output change variance is as follows:

[0040]

[0041] wherein, is the output change variance; P(t) is the output of the water, wind, and light system at t moment; is the average output of the water, wind, and light system in the evaluation period, and N is the total number of time points in the evaluation period;

[0042] The dead zone characteristic is determined according to the change amount threshold value, wherein the change amount threshold value is a threshold value determined based on the actual response output of the water, wind, and light complementary power generation system and the instruction change amount of the automatic power generation control instruction, wherein the expression (2) of the actual response output of the water, wind, and light complementary power generation system is as follows:

[0043]

[0044] wherein, P response (t) is the actual response output of the water, wind, and light complementary power generation system at t moment, △P AGC (t) is the instruction change amount of the water, wind, and light complementary power generation system at t moment, △P AGC (t-1) is the instruction change amount of the water, wind, and light complementary power generation system at t-1 moment, and δ is the change amount threshold value;

[0045] The standby capacity response delay characteristic is determined according to the system response delay time of the water, wind, and light complementary power generation system, wherein the expression (3) of the standby capacity response delay characteristic is as follows:

[0046]

[0047] wherein, f(τ d , λ, k) is the system response delay time, λ is the scale parameter, and k is the shape parameter;

[0048] The standby capacity and water, wind, and light time coupling characteristic is determined according to the total adjustment amount, the adjustment time window, the maximum adjustment rate, the standby capacity set, the time coupling coefficient, and the capacity adjustment amount of the standby capacity of the water, wind, and light complementary power generation system, wherein the expressions (4) and (5) of the total adjustment amount are as follows:

[0049]

[0050] wherein, △P total (t) is the total adjustment amount, and △th To adjust the time window, R h is the maximum adjustment rate, δt is the time interval, D is the reserve capacity set, β i (t) is the time coupling coefficient.

[0051] In the embodiments of the present application, by analyzing the instruction adjustment characteristics of the automatic generation control instruction and determining the output change smoothness characteristics, dead zone characteristics, reserve capacity response delay characteristics, and reserve capacity and water, wind, and light time coupling characteristics in the instruction adjustment characteristics, the tracking performance of the automatic generation control instruction can be determined based on the instruction adjustment characteristics, which further improves the instruction tracking performance and facilitates secondary frequency modulation of the water, wind, and light complementary power generation system.

[0052] In some embodiments of the present application, the instruction tracking performance includes an instruction tracking success probability; and the instruction tracking performance of the automatic generation control instruction is determined according to the instruction adjustment characteristics, including:

[0053] The instruction generation output of the water, wind, and light complementary power generation system is determined according to the instruction adjustment characteristics, wherein the instruction generation output is the generation output of the water, wind, and light complementary power generation system at the end time of the automatic generation control instruction; and the instruction tracking success rate is determined according to the difference between the instruction generation output and the actual generation output of the water, wind, and light complementary power generation system.

[0054] In this embodiment, the instruction tracking success probability is used to represent the reliability, accuracy, and timeliness of the water, wind, and light complementary power generation system in response to the automatic generation control instruction, and reflects the consistency between the actual output of the water, wind, and light complementary power generation system and the required output of the automatic generation control instruction, so as to measure whether it is a key performance indicator for effectively participating in secondary frequency modulation and maintaining system frequency stability.

[0055] It should be noted that the actual generation output and the instruction generation output are both power values, and the unit can be kW.

[0056] Specifically, the instruction generation output is the generation output of the water, wind, and light complementary power generation system at the end time of the automatic generation control instruction, that is, the output value of the water, wind, and light complementary power generation system under the requirement of the automatic generation control instruction. The actual generation output of the water, wind, and light complementary power generation system is the actual output value of the water, wind, and light complementary power generation system. The instruction tracking success rate can be calculated through the difference between the instruction generation output and the actual generation output of the water, wind, and light complementary power generation system.

[0057] Exemplarily, the expression (6) of the instruction tracking success rate is as follows:

[0058]

[0059] wherein M POST is the instruction tracking success rate, P ris the probability of occurrence, is the instruction power output, P AGC,i is the actual power output of the water-wind-solar complementary power generation system, N is the number of instructions of the automatic generation control instruction in the evaluation period.

[0060] In the embodiments of the present application, when the difference between the instruction power output and the actual power output of the water-wind-solar complementary power generation system is zero, it is determined that the instruction tracking is successful, therefore, calculating the probability that the difference between the instruction power output and the actual power output of the water-wind-solar complementary power generation system is zero can determine the instruction tracking success rate, thereby improving the accuracy of determining the instruction tracking success rate. The instruction tracking success rate can reflect the performance of the water-wind-solar complementary power generation system in tracking the automatic generation instruction, and when the water-wind-solar complementary power generation system is controlled based on the target function subsequently, the instruction tracking performance of the water-wind-solar complementary power generation system is improved

[0061] In some embodiments of the present application, the instruction tracking performance includes instruction tracking deviation electric quantity; according to the instruction adjustment characteristic, the instruction tracking performance of the automatic generation control instruction is determined, including:

[0062] The starting moment of the automatic generation control instruction is obtained; according to the difference between the instruction power output and the actual power output, and the starting moment and the ending moment, the instruction tracking deviation electric quantity is determined.

[0063] In this embodiment, the instruction tracking deviation electric quantity (DEIT, Dispatch Error Integral of Tracking) is used to quantify the degree of accumulated deviation between the actual response of the water-wind-solar complementary power generation system to the automatic generation control instruction and the target instruction, and is used to represent the accuracy of the water-wind-solar complementary power generation system in executing the automatic generation control instruction within a certain time.

[0064] Specifically, the instruction tracking deviation electric quantity is calculated based on the instruction power output, the actual power output, the starting moment and the ending moment of the automatic generation control instruction, and the expression (7) of the instruction tracking deviation electric quantity is as follows:

[0065]

[0066] wherein, M DEIT is the instruction tracking deviation electric quantity, N is the number of instructions of the automatic generation control instruction in the evaluation period, is the instruction power output, P AGC,i is the actual power output of the water-wind-solar complementary power generation system, T s,i is the starting moment of the i th automatic generation control instruction; T s,i+1 is the starting moment of the i+1 th automatic generation control instruction.

[0067] In the embodiments of the present application, the essence of the instruction tracking deviation electric quantity is the integral of the absolute value of the deviation between the actual power generation output and the instruction power generation output with respect to time, therefore, the instruction tracking deviation electric quantity can reflect the performance of the water, wind and light complementary power generation system in tracking the automatic power generation instruction, and improve the instruction tracking performance of the water, wind and light complementary power generation system when the water, wind and light complementary power generation system is controlled based on the target function subsequently.

[0068] In the embodiments of the present application, the instruction tracking success probability in the automatic power generation control instruction and the instruction tracking deviation electric quantity are used as the evaluation instruction of the instruction tracking performance, so that the tracking effect of the automatic power generation control instruction is accurately quantified, the water, wind and light power generation system can more accurately respond to the automatic power generation control instruction, the tracking deviation is reduced, and the stability of the power grid frequency is improved.

[0069] In some embodiments of the present application, before determining the target function of the hierarchical control model according to the unit loss parameter, the capacity cost parameter of the standby capacity and the instruction tracking performance of the water, wind and light complementary power generation system, the operation control method further comprises:

[0070] obtaining the unit operation cost, the unit maintenance cost and the fatigue loss cost of the water, wind and light complementary power generation system; constructing a loss evaluation model according to the unit operation cost, the unit maintenance cost and the fatigue loss cost; and determining the unit loss parameter according to the loss evaluation model.

[0071] In this embodiment, the unit loss parameter is a loss value determined according to the loss evaluation model of the water, wind and light complementary power generation system. When constructing the loss evaluation model of the water, wind and light complementary power generation system, the unit operation cost, the unit maintenance cost and the fatigue loss cost need to be considered.

[0072] Specifically, the expression (8) of the unit loss parameter is as follows:

[0073]

[0074] wherein, C loss is the unit loss parameter, C O is the unit operation cost; C M is the unit maintenance cost; C F is the unit fatigue loss cost; T is the unit operation time; α is the unit operation cost coefficient; β is the unit maintenance cost coefficient; N is the number of AGC instructions in the evaluation period; is the output of the water, wind and light complementary power generation system at the t period in the node n; T i is the operation time of the system under the i th working condition; L i is the fatigue life of the system under the i th working condition; K unit is the system cost.

[0075] Exemplarily, the fatigue life and the system cost in the above expression (8) include, but are not limited to, hardware such as water power runner, photovoltaic power generation panel, etc.

[0076] In the embodiment of the present application, the loss evaluation model of the water, wind and light complementary power generation system is constructed, and the unit loss parameter is determined based on the loss evaluation model, thereby improving the accuracy of determining the unit loss parameter, and fully considering the unit operation cost, unit maintenance cost and fatigue loss cost.

[0077] In some embodiments of the present application, before determining the objective function of the hierarchical control model according to the unit loss parameter of the water, wind and light complementary power generation system, the capacity cost parameter of the reserve capacity and the instruction tracking performance, the operation control method further includes:

[0078] The reserved cost, the actual calling cost, the reserved adjustment amount and the actual calling amount of the reserve capacity are obtained; the capacity cost model of the reserve capacity is constructed according to the reserved cost, the actual calling cost, the reserved adjustment amount and the actual calling amount of the reserve capacity; and the capacity cost parameter is determined according to the capacity cost model.

[0079] In this embodiment, the capacity cost of the reserve capacity is the capacity cost determined according to the capacity cost model of the reserve capacity. When constructing the capacity cost model of the reserve capacity, the reserved cost, the actual calling cost, the reserved adjustment amount and the actual calling amount of the reserve capacity need to be considered.

[0080] Specifically, the expression (9) of the capacity cost parameter is as follows:

[0081] C dist =C res +C act =k1·P res +k2·∫ΔP dist dt;(9)

[0082] Wherein, C dist is the capacity cost parameter, C res is the reserve reserved cost; C act is the actual calling cost; k1, k2 are the weights of the reserve reserved cost and the actual calling cost; P res is the reserve reserved adjustment amount; P dist is the actual reserve capacity calling amount.

[0083] In the embodiment of the present application, the capacity cost model of the water reserve capacity is constructed, and the capacity cost parameter is determined based on the capacity cost model of the reserve capacity, thereby improving the accuracy of determining the capacity cost parameter, and fully considering the reserved cost, the actual calling cost, the reserved adjustment amount and the actual calling amount of the reserve capacity.

[0084] In some embodiments of the present application, the instruction tracking performance includes: instruction tracking success probability and instruction tracking deviation electric quantity;

[0085] The target function of the hierarchical control model is determined according to the unit loss parameter of the water-wind-solar complementary power generation system, the capacity cost parameter of the standby capacity and the instruction tracking performance, including: determining an initial function according to the instruction tracking success probability, the instruction tracking deviation electric quantity, the unit loss parameter, the capacity cost parameter, a first weight, a second weight, a third weight and a fourth weight, wherein the first weight corresponds to the instruction tracking success probability, the second weight corresponds to the instruction tracking deviation electric quantity, the third weight corresponds to the loss parameter, and the fourth weight corresponds to the capacity cost parameter; setting a target constraint condition for the initial function to obtain the target function; wherein the target constraint condition includes at least one of the following: an electric quantity balance constraint, a reservoir water quantity balance constraint, a standby capacity constraint, a power output constraint, and a reservoir water quantity constraint.

[0086] In this embodiment, the hierarchical control model takes the instruction tracking performance of the automatic generation control instruction, the unit loss parameter and the capacity cost parameter of the standby capacity as the target function, and since the instruction tracking performance includes the instruction tracking success probability and the instruction tracking deviation electric quantity, the target function includes the instruction tracking success probability, the instruction tracking deviation electric quantity, the unit loss parameter and the capacity cost parameter.

[0087] Exemplarily, the expression (10) of the target function is as follows:

[0088] minF=μM DEIT -vM POST +λ C loss +ωC dist ;(10)

[0089] Wherein, minF is the target function, M DEIT is the instruction tracking deviation electric quantity, M POST is the instruction tracking success probability, C loss is the unit loss parameter, C dist is the capacity cost parameter, μ is the second weight value, v is the first weight value, λ is the third weight value, and ω is the fourth weight value.

[0090] In this embodiment, after the target function is constructed, the constraint conditions of the water-wind-solar complementary power generation system need to be further considered, including but not limited to the electric quantity balance constraint, the reservoir water quantity balance constraint, the standby capacity constraint, the power output constraint and the reservoir parameter constraint.

[0091] Exemplarily, the expression (11) of the electric quantity balance constraint is as follows:

[0092]

[0093] wherein, is the load demand of hydro, wind and solar power in node n at time period t; is the output of hydro, wind and solar power in node n at time period t, respectively; is the compensation power of other hydro power stations in node n at time period t; is the curtailment power of wind and solar power in node n at time period t.

[0094] Exemplarily, the expression (12) of the reservoir water balance constraint is as follows:

[0095]

[0096] wherein, V t H is the storage capacity of the reservoir at time t; q t is the inflow of the reservoir at time t; Q t is the generating flow of the hydro generator at time t; is the curtailment flow of the reservoir at time t.

[0097] Exemplarily, the expressions (13) and (14) of the reserve capacity constraint are as follows:

[0098]

[0099] wherein, and are the up and down reserve capacity demand at time t, respectively; P i max and are the upper and lower output limits of the i generator, respectively.

[0100] Exemplarily, the expression (15) of the output power constraint is as follows:

[0101]

[0102] wherein, and are the minimum and maximum output power allowed by the hydro, wind and solar power stations, respectively.

[0103] Exemplarily, the expression (16) of the reservoir parameter constraint is as follows:

[0104]

[0105] wherein, is the parameter of the reservoir at time t; and The minimum and maximum values of each parameter of the reservoir, respectively; r=1 is the reservoir water level; r=2 is the reservoir storage capacity; and r=3 is the reservoir discharge flow.

[0106] In the embodiments of the present application, by establishing a hierarchical control model of the automatic power generation control instruction, taking the instruction tracking performance of the automatic power generation control instruction, the unit equipment loss parameter and the capacity cost parameter of the distributed standby capacity as the objective function, and combining the constraint conditions, the control scheme balancing the equipment loss and the power generation benefit can be determined, so that the stable operation of the power grid is improved while the influence of the equipment loss on the system benefit is minimized.

[0107] In some embodiments of the present application, the hierarchical control information generated based on the target function is used to control the water-wind-solar complementary power generation system to generate power, including:

[0108] The target weight values of the first weight, the second weight, the third weight and the fourth weight in the target function are solved by a target falcon algorithm, wherein the target falcon algorithm is a falcon algorithm with a lens imaging reverse learning to expand the search range; the target weight values are configured into the target function to obtain the hierarchical control information; and the water-wind-solar complementary power generation system is controlled to generate power based on the hierarchical control information.

[0109] In the embodiments of the present application, after the target function is determined, the first weight value, the second weight value, the third weight value and the fourth weight value in the target function need to be calculated, and the first weight value, the second weight value, the third weight value and the fourth weight value are solved by an improved target falcon algorithm. The improved target falcon algorithm expands the search range of the falcon algorithm by introducing lens imaging reverse learning, so as to jump out of the current position, further expand the search range, improve the species diversity, and improve the accuracy of the hierarchical control information of the determined target function.

[0110] Exemplarily, the process of solving the target function by the target falcon algorithm is described in detail as follows:

[0111] Step one: establish a falcon population and initialize to form an initial population. The expressions (17) and (18) of the position matrix are as follows:

[0112]

[0113] x i,j = lb j + r i,j · (ub j - lb j ), i = 1, 2, …, N, j = 1, 2, …, m; (18)

[0114] Wherein, X is the population matrix of the position of the falcon; X iFor the i-th osprey, x ij Let N be the j-th dimension of the i-th osprey, N be the total number of osprey population members, m be the total number of problem variables, and r be the total number of osprey population members. i,j It is a random number uniformly distributed between [0,1], ub j lb j These are the upper and lower bounds of the variable, respectively.

[0115] This step is improved by introducing lens imaging back learning to expand the search range of the Osprey algorithm, allowing it to jump out of the current position and further expand the search range, thus improving species diversity. The improved expression (19) is as follows:

[0116]

[0117] in, Let ξ be the j-th dimension of the improved i-th osprey; ξ is a dynamically changing parameter.

[0118] Step 2: Substitute the randomly generated Osprey positions into the objective function for evaluation. Each Osprey represents a set of optimal command tracking performance evaluations, including command tracking success probability and command tracking deviation power consumption, as well as the lowest unit loss parameters and capacity cost parameters.

[0119] Step 3: Select the search space and locate the most promising area. The fish school location expression (20) for each osprey is as follows:

[0120] FP i ={X k ∣k∈{1,2,…,N}∧F k <F i}∪{X best};(20)

[0121] Among them, FP i Let X be the set of fish schools located by the i-th osprey; best The optimal position for the Osprey; F k F is the objective function value of the k-th individual in the population; i Let be the objective function value for the i-th individual.

[0122] Step 4: The osprey randomly locates one of the fish and attacks it. Based on the simulation of the osprey moving towards the fish, the new position of the osprey is calculated using the following formulas (21) and (22):

[0123]

[0124] If this new position improves the value of the objective function, i.e. a suitable first weight value, second weight value, third weight value and fourth weight value is found, then the previous position of the fish eagle is replaced according to the following calculation formula (23):

[0125]

[0126] wherein, is the new position of the i-th fish eagle in the first stage; is the j-th dimension value thereof; F i P1 is the value of the objective function; SF i is the new position of the i-th fish eagle in the first stage; SF i,j is the j-th dimension value thereof; I i,j is a random number uniformly distributed between [1, 2].

[0127] Step five: updating the position of the fish eagle in the search space. After catching the fish, the fish eagle will take the fish to a suitable place. A new random position is calculated as the "suitable place to eat fish" according to the following calculation formula (24) and calculation formula (25):

[0128]

[0129] If the value of the objective function is improved at this new position, i.e. a more suitable first weight value, second weight value and third weight value is found, then the previous position of the corresponding fish eagle is replaced according to the calculation formula (26):

[0130]

[0131] wherein, is the new position of the i-th fish eagle in the second stage; is the j-th dimension value thereof; F i P2 is the value of the objective function; r is a random number uniformly distributed between [0, 1]; t is the current iteration number; T is the maximum iteration number of the algorithm.

[0132] Step six: determining whether the termination condition is met. If the termination condition is not met, return to step three; if the constraint condition is met, go to step seven.

[0133] Step seven: outputting the best first weight value, second weight value, third weight value and fourth weight value.

[0134] Figure 2 The structural block diagram of the operation control device of the water-wind-solar complementary power generation system in some embodiments of the present application is shown as follows: Figure 2 As shown in the figure, the operation control device 200 of the water-wind-solar complementary power generation system comprises:

[0135] The determining module 202 is configured to determine an instruction adjustment characteristic of the automatic generation control instruction.

[0136] The determining module 202 is configured to determine an instruction tracking performance of the automatic generation control instruction according to the instruction adjustment characteristic.

[0137] The determining module 202 is configured to determine a target function according to the unit loss parameter of the water-wind-solar complementary power generation system, the capacity cost parameter of the standby capacity, and the instruction tracking performance.

[0138] The control module 204 is configured to control the water-wind-solar complementary power generation system to generate power based on the hierarchical control information generated by the target function.

[0139] In the embodiments of the present application, the instruction tracking performance is taken as an evaluation index to accurately quantify the tracking effect of the automatic generation control instruction, so that the water-wind-solar power generation system can more accurately respond to the automatic generation control instruction, reduce tracking deviation, and improve the stability of the power grid frequency. The capacity cost parameter and the unit loss parameter are also considered comprehensively, so as to measure the loss of the water-wind-solar complementary power generation system, optimize the operation mode of the water-wind-solar complementary power generation system, reduce the loss and cost caused by frequent adjustment, improve the operation efficiency of the water-wind-solar complementary power generation system, and reduce the operation loss of the water-wind-solar complementary power generation system. Moreover, the evaluation index of the instruction tracking performance of the automatic generation control instruction, the unit loss parameter of the water-wind-solar complementary power generation system, and the capacity cost parameter of the standby capacity are taken as the target function, the hierarchical coordination control scheme balancing the equipment loss and power generation benefit is obtained by solving the target function, the influence of the equipment loss on the benefit of the water-wind-solar complementary power generation system is reduced while the operation stability of the power grid is improved.

[0140] The description of the features in the embodiments of the operation control device can be referred to the related description of the embodiments of the operation control method, which will not be repeated here.

[0141] Figure 3 The structure block diagram of the operation control device in some embodiments of the present application is shown as Figure 3 As shown in FIG. 3, the electronic device 300 includes a memory 302 and a processor 304, the memory 302 stores a computer program, and the processor 304 is configured to run the computer program to execute the steps in any of the above-mentioned operation control method embodiments.

[0142] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program, wherein the computer program is configured to execute the steps in any of the above-mentioned operation control method embodiments when running.

[0143] In an example embodiment, the computer readable storage medium described above can include, but is not limited to, a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media capable of storing computer programs.

[0144] Embodiments of the present application also provide a computer program product, which comprises a computer program, and the computer program, when executed by a processor, implements the steps in any of the above-described running control method embodiments.

[0145] Embodiments of the present application also provide another computer program product, which comprises a non-volatile computer readable storage medium, and the non-volatile computer readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps in any of the above-described running control method embodiments.

[0146] The skilled person can further realize that the units and algorithm steps of the examples described in connection with the embodiments disclosed herein can be realized in electronic hardware, computer software, or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in general terms above. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0147] It should be noted that, in this document, relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action, without necessarily requiring or implying any actual such relationship or order between or among the entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the phrase "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0148] The foregoing detailed description of the application has been presented for purposes of illustration and description. Various modifications and changes can be made to these embodiments without departing from the spirit and scope of the application. It is intended that the scope of the application should not be limited by the particular representative embodiments described above.

Claims

1. A method for operating and controlling a hydro-wind-solar hybrid power generation system, characterized in that, The operation control method includes: Determine the command regulation characteristics of automatic generation control commands; Based on the instruction adjustment characteristics, determine the instruction tracking performance of the automatic power generation control instruction; The objective function of the hierarchical control model is determined based on the unit loss parameters, reserve capacity cost parameters, and command tracking performance of the hydro-wind-solar hybrid power generation system. Based on the hierarchical control information generated by the objective function, the hydro-wind-solar hybrid power generation system is controlled to operate and generate electricity.

2. The operation control method for a hydro-wind-solar hybrid power generation system according to claim 1, characterized in that, The command regulation characteristics include at least one of the following: output change stability characteristics, dead zone characteristics, reserve capacity response delay characteristics, and time coupling characteristics of reserve capacity with water, wind and solar power. The command regulation characteristics for determining the automatic power generation control command include: The output variation stability characteristics are determined based on the output variation variance of the water-wind-solar system. The dead zone characteristic is determined based on a change threshold, which is a threshold determined based on the actual response output of the hydro-wind-solar hybrid power generation system and the change in the automatic power generation control command. The response delay characteristics of the standby capacity are determined based on the system response delay time of the hydro-wind-solar hybrid power generation system. Based on the total regulation amount, regulation time window, maximum regulation rate, reserve capacity set, time coupling coefficient, and reserve capacity regulation amount of the hydro-wind-solar hybrid power generation system, the time coupling characteristics between the reserve capacity and hydro-wind-solar are determined.

3. The operation control method for a hydro-wind-solar hybrid power generation system according to claim 1, characterized in that, The instruction tracing performance includes the probability of successful instruction tracing; The step of determining the command tracking performance of the automatic power generation control command based on the command adjustment characteristics includes: The commanded power output of the hydro-wind-solar hybrid power generation system is determined according to the command regulation characteristics, wherein the commanded power output is the power output of the hydro-wind-solar hybrid power generation system at the end of the automatic power generation control command. The command tracking success rate is determined based on the difference between the commanded power output and the actual power generation of the hydro-wind-solar hybrid power generation system.

4. The operation control method for a hydro-wind-solar hybrid power generation system according to claim 3, characterized in that, The command tracking performance includes command tracking deviation power; The step of determining the command tracking performance of the automatic power generation control command based on the command adjustment characteristics includes: Obtain the start time of the automatic power generation control command; The command tracking deviation power is determined based on the difference between the commanded power output and the actual power output, as well as the start time and the end time.

5. The operation control method for a hydro-wind-solar hybrid power generation system according to any one of claims 1 to 4, characterized in that, Before determining the objective function of the hierarchical control model based on the unit loss parameters, reserve capacity cost parameters, and command tracking performance of the hydro-wind-solar hybrid power generation system, the operation control method further includes: To obtain the unit operating cost, unit maintenance cost, and fatigue loss cost of the hydro-wind-solar hybrid power generation system; The loss assessment model is constructed based on the unit operating cost, the unit maintenance cost, and the fatigue loss cost. The unit loss parameters are determined based on the loss assessment model.

6. The operation control method for a hydro-wind-solar hybrid power generation system according to any one of claims 1 to 4, characterized in that, Before determining the objective function of the hierarchical control model based on the unit loss parameters, reserve capacity cost parameters, and command tracking performance of the hydro-wind-solar hybrid power generation system, the operation control method further includes: Obtain the reserved cost, actual usage cost, reserved adjustment amount, and actual usage amount of the backup capacity; Based on the reserved cost, actual usage cost, reserved adjustment amount, and actual usage amount of the reserve capacity, a capacity cost model for the reserve capacity is constructed. The capacity cost parameters are determined based on the capacity cost model.

7. The operation control method for a hydro-wind-solar hybrid power generation system according to any one of claims 1 to 4, characterized in that, The command tracking performance includes: command tracking success probability and command tracking deviation power consumption; The objective function for determining the hierarchical control model based on the unit loss parameters, reserve capacity cost parameters, and command tracking performance of the hydro-wind-solar hybrid power generation system includes: The objective function is determined based on the command tracking success probability, the command tracking deviation power consumption, the unit loss parameter, the capacity cost parameter, a first weight, a second weight, a third weight, and a fourth weight, wherein the first weight corresponds to the command tracking success probability, the second weight corresponds to the command tracking deviation power consumption, the third weight corresponds to the loss parameter, and the fourth weight corresponds to the capacity cost parameter. Set objective constraints for the objective function; The target constraints include at least one of the following: power balance constraint, reservoir water balance constraint, reserve capacity constraint, power output constraint, and reservoir parameter constraint.

8. The operation control method for a hydro-wind-solar hybrid power generation system according to claim 7, characterized in that, The hierarchical control information generated based on the objective function controls the operation and power generation of the hydro-wind-solar hybrid power generation system, including: The target weight values ​​of the first weight, the second weight, the third weight, and the fourth weight in the objective function are solved by the target Osprey algorithm, wherein the target Osprey algorithm is an Osprey algorithm that introduces lens imaging back learning to expand the search range; The target weight values ​​are configured into the objective function to obtain the hierarchical control information; Based on the hierarchical control information, the hydro-wind-solar hybrid power generation system is controlled to operate and generate electricity.

9. An operation control device for a hydro-wind-solar hybrid power generation system, characterized in that, The operation control device includes: The determination module is used to determine the instruction regulation characteristics of the automatic generation control command; The determining module is used to determine the instruction tracking performance of the automatic power generation control instruction based on the instruction adjustment characteristics. The determining module is used to determine the objective function based on the unit loss parameters of the hydro-wind-solar hybrid power generation system, the capacity cost parameters of the reserve capacity, and the command tracking performance. The control module is used to control the operation and power generation of the hydro-wind-solar hybrid power generation system based on the hierarchical control information generated by the objective function.

10. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor is configured to execute the computer program to implement the steps of the operation control method for a hydro-wind-solar hybrid power generation system as described in any one of claims 1 to 8.

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