Cooperative control method and device for multiple types of new energy power grids, terminal equipment and storage medium

Abstract

The invention discloses a cooperative control method and device for a multi-type new energy power grid, terminal equipment and a storage medium, and the method comprises the steps: calculating first output power and second output power through a wind turbine generator model and a photovoltaic module model, and then employing a cooperative control model to achieve the cooperative control of the multi-type new energy power grid according to energy storage data, the first output power and the second output power. And calculating a target charge and discharge quantity, a first target output power and a second target output power which can enable the power grid to operate stably according to the control strategy, generating a first control strategy, a second control strategy and a third control strategy, and controlling a wind generating set, a photovoltaic generating set and an energy storage device so as to maintain the stable operation of the power grid. Therefore, by fully considering the output power of the multiple types of new energy power generation devices, an enforceable cooperative control strategy is provided for the power grid with the multiple types of new energy power generation devices, and the operation stability of the power grid is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a collaborative control method, device, terminal equipment and storage medium for multiple types of new energy power grids. Background Art

[0002] As the global energy crisis and environmental problems become increasingly severe, the development of renewable energy such as wind power and solar energy has become a consensus among countries around the world. However, affected by natural conditions, both wind power and solar energy are intermittent and volatile, and large-scale access to the power grid will bring challenges to the safe and stable operation of the power grid. In order to solve this problem, it is urgent to study efficient control strategies for new energy equipment to smooth the power generation of new energy and improve the utilization rate of new energy. At present, a variety of control strategies for new energy equipment have been proposed, such as maximum power point tracking control, active-reactive joint dispatching control, and control based on prediction models. These control strategies have improved the volatility of new energy power generation to a certain extent and improved the system operation efficiency.

[0003] However, most control strategies are targeted at a single type of new energy equipment and lack the coordinated optimization of multiple new energy sources. Therefore, traditional new energy control strategies cannot be applied in the current power grid with multiple types of new energy generation devices. Summary of the invention

[0004] The embodiments of the present invention provide a collaborative control method, apparatus, terminal device and storage medium for a multi-type renewable energy power grid. By fully considering the output power of multiple types of renewable energy power generation devices, an implementable collaborative control strategy is provided for a power grid with multiple types of renewable energy power generation devices, thereby effectively improving the stability of the power grid operation.

[0005] An embodiment of the present invention provides a collaborative control method for multiple types of new energy power grids, including:

[0006] Obtain wind power data, light energy data, and energy storage data of energy storage devices;

[0007] Inputting the wind energy data into a preset wind turbine generator set model so that the wind turbine generator set model calculates the first output power of the wind turbine generator set according to the wind energy data; the wind turbine generator set model is a mathematical model for simulating the operation of the wind turbine generator set;

[0008] Inputting the light energy data into a preset photovoltaic module model so that the photovoltaic module model simulates the light energy data and calculates the second output power of the photovoltaic generator set; the photovoltaic module model is a mathematical model that simulates the operation of the photovoltaic generator set;

[0009] Inputting the energy storage data, the first output power, and the second output power into a preset collaborative control model, so that the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid;

[0010] Generate a first control strategy for the wind turbine generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount;

[0011] According to the first control strategy, the second control strategy, and the third control strategy, the wind turbine generator set, the photovoltaic generator set, and the energy storage device are controlled respectively so that the wind turbine generator set outputs a first target output power, the photovoltaic generator set outputs a second target output power, and the energy storage device is charged or discharged according to the target charge and discharge amount.

[0012] Further, after generating a first control strategy for the wind turbine generator set according to the first target output power, generating a second control strategy for the photovoltaic generator set according to the second target output power, and generating a third control strategy for the energy storage device according to the target charge and discharge amount, it also includes:

[0013] Generate a wind turbine simulation sub-model according to the first control strategy and the wind turbine model;

[0014] Generate a photovoltaic component simulation sub-model according to the second control strategy and the photovoltaic component model;

[0015] Input the wind power data, the light energy data, the energy storage data, the third control strategy, the wind turbine simulation sub-model, and the photovoltaic module simulation sub-model into a preset power grid flow simulation model for simulation, and generate a power grid operation simulation result within a preset simulation time;

[0016] When it is determined that the operation simulation result indicates that the power grid operates normally within a preset simulation time, the first control strategy, the second control strategy, and the third control strategy are output.

[0017] Furthermore, the collaborative control model calculates the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid, including:

[0018] Obtain the current electricity purchase price and energy storage cost;

[0019] Constructing an objective function according to the current electricity purchase price, the energy storage cost, the energy storage data, the first output power, and the second output power; wherein the decision variables of the objective function are the energy storage data, the first output power, and the second output power, and the calculation result of the objective function is the operating cost;

[0020] Under several preset constraints for ensuring stable operation of the power grid, the energy storage data, the first output power, and the second output power are iteratively optimized with the goal of minimizing the calculation result of the objective function, and when the calculation result is less than a preset threshold, a target charge and discharge amount, a first target output power, and a second target output power are generated.

[0021] Furthermore, generating a first control strategy for the wind turbine generator set according to the first target output power includes:

[0022] Adopting an adaptive variable pitch control method, according to the wind power data and the first target output power, determining a target pitch angle required for the wind turbine generator set to output the first target output power;

[0023] Determining control parameters required for adjusting the target pitch angle according to the control system of the wind turbine generator set;

[0024] The first control strategy is generated according to the control parameters.

[0025] Furthermore, generating a second control strategy for the photovoltaic power generation group according to the second target output power includes:

[0026] determining a disturbance voltage step length according to the second target output power and the second output power;

[0027] Adopting a variable step-size perturbation observation method, determining a step-size adjustment parameter according to the light energy data and the perturbation voltage step-size;

[0028] The second control strategy is generated according to the step size adjustment parameter.

[0029] Another embodiment of the present invention provides a collaborative control device for multiple types of new energy power grids, including:

[0030] A data acquisition module, used to acquire wind power data, light energy data, and energy storage data of the energy storage device;

[0031] a first model calculation module, used for inputting the wind energy data into a preset wind turbine model, so that the wind turbine model calculates a first output power of the wind turbine according to the wind energy data; the wind turbine model is a mathematical model for simulating the operation of the wind turbine;

[0032] A second model calculation module is used to input the light energy data into a preset photovoltaic module model so that the photovoltaic module model simulates the light energy data and calculates the second output power of the photovoltaic generator set; the photovoltaic module model is a mathematical model that simulates the operation of the photovoltaic generator set;

[0033] A power calculation module, used to input the energy storage data, the first output power, and the second output power into a preset collaborative control model, so that the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid;

[0034] a strategy generation module, configured to generate a first control strategy for the wind generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount;

[0035] A collaborative control module is used to control the wind turbine generator set, the photovoltaic generator set, and the energy storage device according to the first control strategy, the second control strategy, and the third control strategy, respectively, so that the wind turbine generator set outputs a first target output power, the photovoltaic generator set outputs a second target output power, and the energy storage device is charged or discharged according to a target charge and discharge amount.

[0036] Furthermore, the collaborative control device for multiple types of new energy power grids further includes: a strategy verification module;

[0037] The strategy verification module is used to generate a first control strategy for the wind turbine generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount.

[0038] Generate a wind turbine simulation sub-model according to the first control strategy and the wind turbine model;

[0039] Generate a photovoltaic component simulation sub-model according to the second control strategy and the photovoltaic component model;

[0040] Input the wind power data, the light energy data, the energy storage data, the third control strategy, the wind turbine simulation sub-model, and the photovoltaic module simulation sub-model into a preset power grid flow simulation model for simulation, and generate a power grid operation simulation result within a preset simulation time;

[0041] When it is determined that the operation simulation result indicates that the power grid operates normally within a preset simulation time, the first control strategy, the second control strategy, and the third control strategy are output.

[0042] Furthermore, the collaborative control model calculates the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid, including:

[0043] Obtain the current electricity purchase price and energy storage cost;

[0044] Constructing an objective function according to the current electricity purchase price, the energy storage cost, the energy storage data, the first output power, and the second output power; wherein the decision variables of the objective function are the energy storage data, the first output power, and the second output power, and the calculation result of the objective function is the operating cost;

[0045] Under several preset constraints for ensuring stable operation of the power grid, the energy storage data, the first output power, and the second output power are iteratively optimized with the goal of minimizing the calculation result of the objective function, and when the calculation result is less than a preset threshold, a target charge and discharge amount, a first target output power, and a second target output power are generated.

[0046] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a collaborative control method for multiple types of new energy power grids as described in any one of the embodiments.

[0047] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a collaborative control method for multiple types of new energy power grids as described in any one of the above embodiments.

[0048] The following beneficial effects are achieved by implementing the present invention:

[0049] The present invention discloses a collaborative control method, device, terminal equipment and storage medium for a multi-type new energy power grid. Through a wind turbine model and a photovoltaic component model, the first output power of the current wind turbine and the second output power of the photovoltaic generator are calculated. Then, a collaborative control model is adopted to calculate the target charge and discharge amount, the first target output power, and the second target output power for stable operation of the power grid according to the energy storage data, the first output power, and the second output power of the energy storage device, and a first control strategy, a second control strategy, and the third control strategy are generated to control the wind turbine, the photovoltaic generator, and the energy storage device respectively, so that the wind turbine outputs the first target output power, the photovoltaic generator outputs the second target output power, and the energy storage device is charged or discharged according to the target charge and discharge amount. Therefore, the present invention provides an implementable collaborative control strategy for a power grid with multiple types of new energy power generation devices by fully considering the output power of multiple types of new energy power generation devices, thereby effectively improving the stability of power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a flow chart of a collaborative control method for multiple types of new energy power grids provided by an embodiment of the present invention.

[0051] Figure 2 It is a structural schematic diagram of a collaborative control device for multiple types of new energy power grids provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0054] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0055] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0056] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0057] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0058] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0059] See also Figure 1 , is a flow chart of a collaborative control method for multiple types of new energy power grids provided by an embodiment of the present invention, including:

[0060] S1. Acquire wind power data, light energy data, and energy storage data of the energy storage device;

[0061] In a preferred embodiment of the present invention, the wind data includes: wind speed v, wind direction θ; the light energy data includes: solar radiation intensity G, ambient temperature T a ; The energy storage data includes: collecting the voltage U of the energy storage battery b, voltage of series battery pack U bs 、Current I b It should be noted that, in order to ensure the accuracy of the subsequent calculation process, this embodiment cleans the data after acquiring the data, that is, removes redundant and abnormal data, so as to improve the data quality and lay a data foundation for subsequent modeling.

[0062] S2, inputting the wind energy data into a preset wind turbine generator set model, so that the wind turbine generator set model calculates the first output power of the wind turbine generator set according to the wind energy data; the wind turbine generator set model is a mathematical model for simulating the operation of the wind turbine generator set;

[0063] S3, inputting the light energy data into a preset photovoltaic module model, so that the photovoltaic module model simulates the light energy data and calculates the second output power of the photovoltaic generator set; the photovoltaic module model is a mathematical model for simulating the operation of the photovoltaic generator set;

[0064] In a preferred embodiment of the present invention, the wind turbine model adopts a piecewise polynomial to fit the wind turbine power curve; the wind speed v is used as the independent variable and the unit output power P is used as the independent variable. w is the dependent variable;

[0065] In different wind speed ranges, polynomials of different orders are used for fitting, and the polynomial coefficients are determined by least squares fitting; the polynomial fitting formula is:

[0066]

[0067] Among them, a i ,b i ,...,k i are the polynomial coefficients, v 1 ,v 2 ,...,v i+1 The wind speed segmentation point.

[0068] Secondly, the photovoltaic module model adopts an improved single diode equivalent circuit model, taking into account the photocurrent I ph , diode reverse saturation current I 0 , series resistance R s And the parallel resistor R sh Impact on photovoltaic output voltage U and current I; the photovoltaic module model formula is:

[0069]

[0070] Where a is the diode ideality factor, V T Thermoelectric potential.

[0071] Finally, this embodiment also constructs a battery energy storage model for detecting the battery power in the subsequent charging and discharging process. Specifically, the Shepherd correction model is used as the battery equivalent circuit model to describe the battery terminal voltage U b The relationship with the internal parameters of the battery, which include internal resistance R, polarization constant K and capacity Q; the formula of the battery energy storage model is:

[0072]

[0073] Among them, E 0 is the open circuit voltage, A and B are fitting parameters; the battery SOC is estimated using the ampere-hour integration method, that is, based on the initial SOC, that is, SOC 0 and the charge and discharge current I b , integrate the current and calculate the current SOC:

[0074]

[0075] Among them, C N is the rated capacity of the battery.

[0076] S4. Input the energy storage data, the first output power, and the second output power into a preset collaborative control model, so that the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring the stable operation of the power grid; preferably, the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring the stable operation of the power grid, including:

[0077] S41, obtaining the current electricity purchase price and energy storage cost;

[0078] S42, constructing an objective function according to the current electricity purchase price, the energy storage cost, the energy storage data, the first output power, and the second output power; wherein the decision variables of the objective function are the energy storage data, the first output power, and the second output power, and the calculation result of the objective function is the operating cost;

[0079] S43. Under a number of preset constraints for ensuring stable operation of the power grid, with the goal of minimizing the calculation result of the objective function, iteratively optimize the energy storage data, the first output power, and the second output power, and when the calculation result is less than a preset threshold, generate a target charge and discharge amount, a first target output power, and a second target output power.

[0080] In a preferred embodiment of the present invention, an energy management strategy is constructed based on grid data, and a hierarchical distributed energy management strategy is proposed for a wind-solar-storage complementary microgrid; the energy storage charging and discharging plan P is optimized with the goal of minimizing the operating cost. s Exchange power with the grid P g ;The objective function of the energy management strategy is:

[0081]

[0082] Among them, C g ,C s are the electricity purchase price from the power grid and the energy storage charging and discharging costs respectively;

[0083] Adopt adaptive dynamic programming algorithm to solve the energy management problem in energy management strategy; take system state x(t) as environmental information and energy storage charging and discharging power P s (t) and the power grid exchange power P g (t) is used as the control decision variable u(t), and the minimum operating cost is used as the optimization goal. Through iterative learning, the optimal control strategy is approached; the iterative formula of the adaptive dynamic programming algorithm is:

[0084]

[0085] Where k is the number of iterations and γ is the discount factor.

[0086] S5. Generate a first control strategy for the wind turbine generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount;

[0087] Preferably, generating a first control strategy for the wind turbine generator set according to the first target output power includes:

[0088] S511, using an adaptive variable pitch control method to determine a target pitch angle required for the wind turbine generator set to output the first target output power according to the wind power data and the first target output power;

[0089] S512, determining control parameters required for adjusting the target pitch angle according to the control system of the wind turbine generator set;

[0090] S513: Generate the first control strategy according to the control parameters.

[0091] In a preferred embodiment of the present invention, an adaptive variable pitch control strategy is adopted. According to the preset fuzzy PID control algorithm in the wind turbine generator set, the wind speed v, wind direction θ and unit speed n are used as inputs to output the pitch angle command β. Finally, the pitch angle command β and the fuzzy rule are used to adjust the PID parameter proportional gain K p , integration time K i , differential time K d ;

[0092] Preferably, generating a second control strategy for the photovoltaic power generation group according to the second target output power includes:

[0093] S521, determining a disturbance voltage step length according to the second target output power and the second output power;

[0094] S522, using a variable step size perturbation observation method to determine a step size adjustment parameter according to the light energy data and the perturbation voltage step size;

[0095] S523: Generate the second control strategy according to the step size adjustment parameter.

[0096] In a preferred embodiment of the present invention, the perturbation observation MPPT control strategy is improved, and the photovoltaic control strategy adopts the variable step perturbation observation method, according to the light intensity G and the component temperature T c The change rate of the disturbance voltage is adjusted adaptively, and the step length ΔU of the disturbance voltage is adjusted to speed up the maximum power point tracking speed; the disturbance voltage step length adjustment formula is:

[0097]

[0098] Where ΔU is the disturbance voltage step size, is the rate of change of light intensity, is the temperature change rate of the PV module, and f is the step size adjustment function.

[0099] It should be further explained that the third control strategy is an adaptive charge and discharge control strategy based on the battery health state (SOH); the current SOH is estimated by the internal resistance spectrum R(f) and the capacity decrease ΔQ parameter, and the charge and discharge rate I is adjusted accordingly. bc And the upper limit of charging cut-off voltage U bmax ; The SOH estimation formula is:

[0100] SOH=g[R(f),ΔQ];

[0101] Where g[·] is an estimation function; under the premise of ensuring battery safety, the battery life is maximized.

[0102] Preferably, after generating a first control strategy for the wind generator set according to the first target output power, generating a second control strategy for the photovoltaic generator set according to the second target output power, and generating a third control strategy for the energy storage device according to the target charge and discharge amount, the method further includes:

[0103] S531, generating a wind turbine simulation sub-model according to the first control strategy and the wind turbine model;

[0104] S532: Generate a photovoltaic assembly simulation sub-model according to the second control strategy and the photovoltaic assembly model;

[0105] S533, inputting the wind power data, the light energy data, the energy storage data, the third control strategy, the wind turbine simulation sub-model, and the photovoltaic module simulation sub-model into a preset power grid flow simulation model for simulation, and generating a power grid operation simulation result within a preset simulation time;

[0106] S534: When it is determined that the operation simulation result indicates that the power grid operates normally within a preset simulation time, output the first control strategy, the second control strategy, and the third control strategy.

[0107] In a preferred embodiment of the present invention, new energy equipment models of wind power, photovoltaic power and power storage are built in the MATLAB simulation platform, and control strategies of various equipment are added to each model, wind speed, light and load data are selected as input, capacity parameters and simulation time of the power grid load are set, the simulation model is run, and the output power curves of wind power, photovoltaic power, energy storage and power grid, as well as the total power generation, load demand and abandoned wind and solar power performance indicators of the system are recorded;

[0108] By drawing the output power curves of various equipment, analyzing the volatility and stability changes before and after the optimization control, and calculating the proportion of new energy power generation, wind and solar power abandonment rate and power grid purchase ratio, the optimization effect of the proposed control strategy is quantitatively evaluated.

[0109] S6. According to the first control strategy, the second control strategy, and the third control strategy, the wind turbine generator set, the photovoltaic generator set, and the energy storage device are controlled respectively so that the wind turbine generator set outputs a first target output power, the photovoltaic generator set outputs a second target output power, and the energy storage device is charged or discharged according to the target charge and discharge amount.

[0110] The present embodiment provides a collaborative control method for a multi-type new energy power grid. The first output power of the current wind generator set and the second output power of the photovoltaic generator set are calculated through a wind turbine model and a photovoltaic component model. Then, a collaborative control model is adopted to calculate the target charge and discharge amount, the first target output power, and the second target output power for stable operation of the power grid according to the energy storage data, the first output power, and the second output power of the energy storage device, and a first control strategy, a second control strategy, and the third control strategy are generated to control the wind generator set, the photovoltaic generator set, and the energy storage device respectively, so that the wind generator set outputs the first target output power, the photovoltaic generator set outputs the second target output power, and the energy storage device is charged or discharged according to the target charge and discharge amount. Therefore, the present invention provides an implementable collaborative control strategy for a power grid with multiple types of new energy power generation devices by fully considering the output power of multiple types of new energy power generation devices, thereby effectively improving the stability of power grid operation.

[0111] See also Figure 2 , is a structural diagram of a collaborative control device for multiple types of new energy grids provided by an embodiment of the present invention, including:

[0112] A data acquisition module, used to acquire wind power data, light energy data, and energy storage data of the energy storage device;

[0113] a first model calculation module, used for inputting the wind energy data into a preset wind turbine model, so that the wind turbine model calculates a first output power of the wind turbine according to the wind energy data; the wind turbine model is a mathematical model for simulating the operation of the wind turbine;

[0114] A second model calculation module is used to input the light energy data into a preset photovoltaic module model so that the photovoltaic module model simulates the light energy data and calculates the second output power of the photovoltaic generator set; the photovoltaic module model is a mathematical model that simulates the operation of the photovoltaic generator set;

[0115] A power calculation module, used to input the energy storage data, the first output power, and the second output power into a preset collaborative control model, so that the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid;

[0116] a strategy generation module, configured to generate a first control strategy for the wind generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount;

[0117] A collaborative control module is used to control the wind turbine generator set, the photovoltaic generator set, and the energy storage device according to the first control strategy, the second control strategy, and the third control strategy, respectively, so that the wind turbine generator set outputs a first target output power, the photovoltaic generator set outputs a second target output power, and the energy storage device is charged or discharged according to a target charge and discharge amount.

[0118] Preferably, the collaborative control device for multiple types of new energy grids further includes: a strategy verification module;

[0119] The strategy verification module is used to generate a first control strategy for the wind turbine generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount.

[0120] Generate a wind turbine simulation sub-model according to the first control strategy and the wind turbine model;

[0121] Generate a photovoltaic component simulation sub-model according to the second control strategy and the photovoltaic component model;

[0122] Input the wind power data, the light energy data, the energy storage data, the third control strategy, the wind turbine simulation sub-model, and the photovoltaic module simulation sub-model into a preset power grid flow simulation model for simulation, and generate a power grid operation simulation result within a preset simulation time;

[0123] When it is determined that the operation simulation result indicates that the power grid operates normally within a preset simulation time, the first control strategy, the second control strategy, and the third control strategy are output.

[0124] Preferably, the collaborative control model calculates the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid, including:

[0125] Obtain the current electricity purchase price and energy storage cost;

[0126] Constructing an objective function according to the current electricity purchase price, the energy storage cost, the energy storage data, the first output power, and the second output power; wherein the decision variables of the objective function are the energy storage data, the first output power, and the second output power, and the calculation result of the objective function is the operating cost;

[0127] Under several preset constraints for ensuring stable operation of the power grid, the energy storage data, the first output power, and the second output power are iteratively optimized with the goal of minimizing the calculation result of the objective function, and when the calculation result is less than a preset threshold, a target charge and discharge amount, a first target output power, and a second target output power are generated.

[0128] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0129] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0130] Another preferred embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a collaborative control method for multiple types of new energy power grids as described in any one of the above embodiments.

[0131] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0132] The processor may be a central processing unit (CPU), 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 general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0133] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Med i aCard, 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 volatile solid-state storage devices.

[0134] Another preferred embodiment of the present invention provides a storage medium, the storage medium is a computer-readable storage medium, the computer program is stored in the computer-readable storage medium, and the computer program, when executed by the processor, can implement the steps of the above-mentioned various method embodiments. Wherein, 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, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0135] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A collaborative control method for multiple types of new energy power grids, characterized in that: include: Obtain wind power data, light energy data, and energy storage data of energy storage devices; Inputting the wind energy data into a preset wind turbine generator set model so that the wind turbine generator set model calculates the first output power of the wind turbine generator set according to the wind energy data; the wind turbine generator set model is a mathematical model for simulating the operation of the wind turbine generator set; Inputting the light energy data into a preset photovoltaic module model so that the photovoltaic module model simulates the light energy data and calculates the second output power of the photovoltaic generator set; the photovoltaic module model is a mathematical model that simulates the operation of the photovoltaic generator set; Inputting the energy storage data, the first output power, and the second output power into a preset collaborative control model, so that the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid; Generate a first control strategy for the wind turbine generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount; According to the first control strategy, the second control strategy, and the third control strategy, the wind turbine generator set, the photovoltaic generator set, and the energy storage device are controlled respectively so that the wind turbine generator set outputs a first target output power, the photovoltaic generator set outputs a second target output power, and the energy storage device is charged or discharged according to the target charge and discharge amount.

2. A collaborative control method for multiple types of new energy power grids as claimed in claim 1, characterized in that: After generating a first control strategy for the wind generator set according to the first target output power, generating a second control strategy for the photovoltaic generator set according to the second target output power, and generating a third control strategy for the energy storage device according to the target charge and discharge amount, the method further includes: Generate a wind turbine simulation sub-model according to the first control strategy and the wind turbine model; Generate a photovoltaic component simulation sub-model according to the second control strategy and the photovoltaic component model; Input the wind power data, the light energy data, the energy storage data, the third control strategy, the wind turbine simulation sub-model, and the photovoltaic module simulation sub-model into a preset power grid flow simulation model for simulation, and generate a power grid operation simulation result within a preset simulation time; When it is determined that the operation simulation result indicates that the power grid operates normally within a preset simulation time, the first control strategy, the second control strategy, and the third control strategy are output.

3. A collaborative control method for multiple types of new energy power grids as claimed in claim 2, characterized in that: The collaborative control model calculates the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid, including: Obtain the current electricity purchase price and energy storage cost; Constructing an objective function according to the current electricity purchase price, the energy storage cost, the energy storage data, the first output power, and the second output power; wherein the decision variables of the objective function are the energy storage data, the first output power, and the second output power, and the calculation result of the objective function is the operating cost; Under several preset constraints for ensuring stable operation of the power grid, the energy storage data, the first output power, and the second output power are iteratively optimized with the goal of minimizing the calculation result of the objective function, and when the calculation result is less than a preset threshold, a target charge and discharge amount, a first target output power, and a second target output power are generated.

4. A collaborative control method for multiple types of new energy power grids as claimed in claim 3, characterized in that: Generating a first control strategy for the wind turbine generator set according to the first target output power includes: Adopting an adaptive variable pitch control method, according to the wind power data and the first target output power, determining a target pitch angle required for the wind turbine generator set to output the first target output power; Determining control parameters required for adjusting the target pitch angle according to the control system of the wind turbine generator set; The first control strategy is generated according to the control parameters.

5. A collaborative control method for multiple types of new energy power grids as claimed in claim 4, characterized in that: Generating a second control strategy for the photovoltaic power generation group according to the second target output power includes: determining a disturbance voltage step length according to the second target output power and the second output power; Adopting a variable step-size perturbation observation method, determining a step-size adjustment parameter according to the light energy data and the perturbation voltage step-size; The second control strategy is generated according to the step size adjustment parameter.

6. A collaborative control device for multiple types of new energy power grids, characterized in that: include: A data acquisition module, used to acquire wind power data, light energy data, and energy storage data of the energy storage device; a first model calculation module, used for inputting the wind energy data into a preset wind turbine generator set model, so that the wind turbine generator set model calculates a first output power of the wind turbine generator set according to the wind energy data; The wind turbine model is a mathematical model for simulating the operation of the wind turbine; A second model calculation module is used to input the light energy data into a preset photovoltaic module model so that the photovoltaic module model simulates the light energy data and calculates the second output power of the photovoltaic generator set; the photovoltaic module model is a mathematical model that simulates the operation of the photovoltaic generator set; A power calculation module, used to input the energy storage data, the first output power, and the second output power into a preset collaborative control model, so that the collaborative control model can calculate the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid; a strategy generation module, configured to generate a first control strategy for the wind generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount; A collaborative control module is used to control the wind turbine generator set, the photovoltaic generator set, and the energy storage device according to the first control strategy, the second control strategy, and the third control strategy, respectively, so that the wind turbine generator set outputs a first target output power, the photovoltaic generator set outputs a second target output power, and the energy storage device is charged or discharged according to a target charge and discharge amount.

7. A collaborative control device for multiple types of new energy grids as claimed in claim 6, characterized in that: Also includes: Strategy validation module; The strategy verification module is used to generate a first control strategy for the wind turbine generator set according to the first target output power, generate a second control strategy for the photovoltaic generator set according to the second target output power, and generate a third control strategy for the energy storage device according to the target charge and discharge amount. Generate a wind turbine simulation sub-model according to the first control strategy and the wind turbine model; Generate a photovoltaic component simulation sub-model according to the second control strategy and the photovoltaic component model; Input the wind power data, the light energy data, the energy storage data, the third control strategy, the wind turbine simulation sub-model, and the photovoltaic module simulation sub-model into a preset power grid flow simulation model for simulation, and generate a power grid operation simulation result within a preset simulation time; When it is determined that the operation simulation result indicates that the power grid operates normally within a preset simulation time, the first control strategy, the second control strategy, and the third control strategy are output.

8. A collaborative control device for multiple types of new energy grids as claimed in claim 7, characterized in that: The collaborative control model calculates the target charge and discharge amount of the energy storage device, the first target output power of the wind turbine generator set, and the second target output power of the photovoltaic generator set under the condition of ensuring stable operation of the power grid, including: Obtain the current electricity purchase price and energy storage cost; Constructing an objective function according to the current electricity purchase price, the energy storage cost, the energy storage data, the first output power, and the second output power; wherein the decision variables of the objective function are the energy storage data, the first output power, and the second output power, and the calculation result of the objective function is the operating cost; Under several preset constraints for ensuring stable operation of the power grid, the energy storage data, the first output power, and the second output power are iteratively optimized with the goal of minimizing the calculation result of the objective function, and when the calculation result is less than a preset threshold, a target charge and discharge amount, a first target output power, and a second target output power are generated.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a collaborative control method for multiple types of new energy power grids as described in any one of claims 1 to 5.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein, when the computer program is running, the device where the storage medium is located is controlled to execute a collaborative control method for multiple types of new energy power grids as described in any one of claims 1 to 5.

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