CN111934357A - System simulation analysis method and system for wind-solar power supply combined grid connection - Google Patents

System simulation analysis method and system for wind-solar power supply combined grid connection Download PDF

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CN111934357A
CN111934357A CN202010576800.3A CN202010576800A CN111934357A CN 111934357 A CN111934357 A CN 111934357A CN 202010576800 A CN202010576800 A CN 202010576800A CN 111934357 A CN111934357 A CN 111934357A
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wind
power supply
power
grid
simulation
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丁剑
宋云亭
郑超
吉平
李媛媛
赵会莹
梅文明
张光亚
赵莉莉
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State Grid Shuozhou Power Supply Co
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
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State Grid Shuozhou Power Supply Co
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

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Abstract

A system simulation analysis method and system for wind-solar power supply combined grid connection are disclosed, wherein the method comprises the following steps: simulating output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response based on a power supply simulation model pre-established by a fan and a photovoltaic power supply in the wind-solar power supply combined grid-connected system; decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain simulation decoupling and analysis results among variables; performing simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result; the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located. The technical scheme provided by the invention accurately evaluates the impact of wind power integration on the stable operation of the power system.

Description

System simulation analysis method and system for wind-solar power supply combined grid connection
Technical Field
The invention relates to the field of safety and stability of power systems, in particular to a system simulation analysis method and system for wind-solar power supply combined grid connection.
Background
In recent years, domestic clean energy power generation technology such as wind power and photovoltaic is rapidly developed, the permeability of the wind power and the photovoltaic is increased year by year, and the energy structure of partial regions is greatly changed. Taking the Gansu power grid as an example, the installed scale of the Hexi corridor wind power base in 2016 is over 1200 ten thousand kilowatts, and the solar power generation is nearly 600 ten thousand kilowatts. According to the planning scheme, the wind installations in kansu of 2017 and 2018 will be further increased to 1470 ten thousand kilowatts and 1773 ten thousand kilowatts.
After large-scale clean energy is connected to the grid, a local power grid forms a scene of combined operation of various types of clean energy power supplies such as wind and light, and when the permeability of the clean energy is increased, the negative influence of various power supply characteristic differences on safe and stable operation of the power grid is increased. The wind power, photovoltaic power and other clean power supplies have the characteristics of volatility, randomness and intermittence, and when the output of the clean power supply is inconsistent with the load change, the load peak-valley difference is increased, and the system operation scheduling pressure is increased; the fault-ride through characteristic difference of the clean power supply also brings great uncertainty to the safety and stability of the power grid.
Disclosure of Invention
A system simulation analysis method for wind-solar power combined grid connection comprises the following steps:
simulating output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response based on a power supply simulation model pre-established by a fan and a photovoltaic power supply in the wind-solar power supply combined grid-connected system;
decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain simulation decoupling and analysis results among variables;
performing simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result;
the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located.
Preferably, the power supply simulation model pre-established based on the wind power and photovoltaic power supply in the wind-solar power supply combined grid-connected system simulates output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response, and includes:
judging whether meteorological data of a fan and a photovoltaic power supply exist or not according to the wind power photovoltaic power station;
if the wind power generation system power output characteristic exists, determining the power output characteristic of an accumulative effect reducing function of the correlation between the wind turbine and the photovoltaic power supply, and determining a wind turbine and photovoltaic power supply complementary effect simulation function of the time-space difference of the wind turbine and the photovoltaic power supply based on the power output characteristic of the accumulative effect reducing function to obtain the power output characteristic;
otherwise, directly determining the fan and photovoltaic power supply complementary effect simulation functions of the fan and the photovoltaic power supply time-space difference to obtain the power output characteristic.
Preferably, the expression of the complementary effect simulation function is as follows:
P＝G(t,d,P0)
in the formula: p represents a power output characteristic; t represents a time variable; d represents a spatial variable; p0Represents the power output characteristics of the additive effect reduction function f (w), where w is meteorological data.
Preferably, the decoupling analyzing the output power output characteristics based on the consideration of the mutual influence coupling effect of the wind power, the photovoltaic power and the power grid to obtain a simulation decoupling analysis result between the variables includes:
determining the types of the fan and the photovoltaic power supply based on the power output characteristics, and judging whether factors influencing the fan and the photovoltaic power supply exist or not;
if the wind power generation system exists, simulating the effective calculation of the corrected strong influence factor and the fan control mode difference and the output of the function, and then calculating the mutual influence coupling effect simulation decoupling analysis of the fan, the photovoltaic power supply and the power grid;
otherwise, directly carrying out simulation decoupling analysis on the mutual influence coupling effect of the fan, the photovoltaic power supply and the power grid.
Preferably, the strong influence factor of the analog correction is as follows:
Figure BDA0002550949220000021
wherein x is1,x2,x3,...,xnA strong influence factor corrected for a rational simulation of the multi-fan type.
Preferably, the effective accounting of the fan control mode difference is as follows:
Figure BDA0002550949220000022
wherein y is1,y2,y3,...,ynThe method is a strong influence factor in effective consideration of the difference of the wind and light power supply control modes.
Preferably, the simulation decoupling analysis is as follows:
R(Wc,Sc,g)
wherein wG，sGG represents a wind power supply, a photovoltaic power supply and a power grid respectively, and the value range of a coupling relation function between any two independent variable elements is [0,1 ]]。
Preferably, the power supply simulation model pre-established based on the wind power, the photovoltaic power and the wind power combined grid-connected system comprises:
determining an equivalence principle of a fan power station according to the characteristics of a fan base, and establishing a fan power supply simulation model;
determining an equivalence principle of a photovoltaic power station according to the characteristics of a photovoltaic power generation field, and establishing a photovoltaic power supply simulation model;
and constructing a power supply simulation model by the fan power supply simulation model and the photovoltaic power supply simulation model.
Preferably, the equivalence principle includes:
in the aspect of steady-state calculation, reactive power at certain active power output is calculated by using a certain power factor;
in the aspect of dynamic calculation, a single high-capacity wind turbine generator/photovoltaic power supply is adopted to simulate an equal-capacity wind power plant/photovoltaic power station.
A system simulation analysis system for wind-solar power combined grid connection comprises:
the simulation module is used for simulating output power output characteristics based on a power supply simulation model pre-established by a wind power, a wind power and a photovoltaic power supply in the wind and light power supply combined grid-connected system by considering the superposition effect of wind resource characteristics and the difference of dynamic response;
the decoupling analysis module is used for decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain a simulation decoupling analysis result among variables;
the evaluation module is used for carrying out simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result;
the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located.
Compared with the prior art, the invention has the beneficial effects that:
a system simulation analysis method and system for wind-solar power supply combined grid connection are disclosed, wherein the method comprises the following steps: simulating output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response based on a power supply simulation model pre-established by a fan and a photovoltaic power supply in the wind-solar power supply combined grid-connected system; decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain simulation decoupling and analysis results among variables; performing simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result; the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located. According to the technical scheme provided by the invention, the coupling effect of mutual influence of the wind power, the photovoltaic power supply and the power grid is taken into account, so that the simulation decoupling analysis result is more accurate;
2. the technical scheme provided by the invention accurately evaluates the impact caused by the stable operation of the wind-solar power supply combined grid-connected system.
Drawings
FIG. 1 is a flow chart of a system simulation analysis method of wind-solar power combined grid connection of the invention;
FIG. 2 is a schematic diagram of a simulation analysis specific flow of the wind-solar power supply combined grid-connected system.
Detailed Description
The characteristics of fluctuation, randomness and intermittence of clean energy represented by wind power and photovoltaic power supply bring huge pressure to safe and stable operation of a power grid, and also bring great challenges to the coordination control of steady state, transient state and protection parameters of various power supplies. In order to ensure that the power grid can safely, stably and efficiently operate after the large-scale clean energy is connected to the power grid and prevent stable damage and large-area power failure under related accidents, the related research work needs to be deeply and carefully carried out to master the safety and stability characteristics of the power grid after the large-scale clean energy is connected to the power grid.
The system simulation analysis method for large-scale wind-solar power supply combined grid-connected operation aims at considering the characteristic of influence on a power grid after wind power supply and photovoltaic power supply are centrally connected on the basis of actual and simulation data of the power grid, comprehensively and effectively evaluating the mutual influence relation among different wind and photovoltaic power supply bases and the coupling relation between the wind and photovoltaic power supply bases and the system, discovering potential problems in the power grid operation process, and providing a standardized analysis flow and a method for the system simulation analysis of the large-scale wind-solar power supply combined grid-connected operation of the actual power grid, wherein the analysis flow and the method are closely combined with the actual condition and the requirement of the power grid.
A simulation analysis method for a system for accessing large-scale wind power into a power grid in a centralized manner aims to effectively take account of the superposition effect of wind resource characteristics of large-scale wind power bases, the differences of dynamic responses caused by different types of fans of the large-scale wind power bases, different response characteristics and different control and protection systems in the simulation analysis for the centralized grid connection of the large-scale wind power bases and accurately evaluate the impact and the safety bottleneck of the stable operation of a power system caused by the wind power grid connection. To this end, the following problems need to be solved: accurate modeling of the wind turbine, reasonable equivalence of the wind power plant, effective evaluation of the type of a fan suitable for engineering application and the difference of a control and protection system of the fan, comprehensive coverage of influence of grid connection of the wind turbine on the dynamic characteristics of the system and the like.
Aiming at the problems, the large-scale wind power integration simulation analysis principle which can comprehensively consider the influences of the wind resource characteristics and the dynamic response characteristics of the wind power generation and the different characteristics of the types of the multiple fans, different control modes of the fans and the like is firstly and definitely provided, a complete analysis framework and a flow of system simulation evaluation of the large-scale wind power centralized access power grid are developed based on the principle, and a simulation analysis technical means is provided for the large-scale integration of the wind power base. The technical content of the patent will be specifically described below.
Example 1:
a simulation analysis method for a wind-solar power supply combined grid-connection system is shown in figure 1: the method comprises the following steps:
step 1: simulating output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response based on a power supply simulation model pre-established by a fan and a photovoltaic power supply in the wind-solar power supply combined grid-connected system;
step 2: decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain simulation decoupling and analysis results among variables;
and step 3: performing simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result;
the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located.
Step 1: a power supply simulation model pre-established based on a wind power and photovoltaic power supply in a wind-solar power supply combined grid-connected system simulates output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response, and the characteristics are as follows:
1. wind power and photovoltaic power supply simulation under wind-solar power supply combined grid connection
(1) Fan simulation modeling
The basic links of the mathematical model of the fixed-speed wind power generation system comprise four parts: the wind power generation system comprises a wind turbine, an asynchronous generator, a pitch control system and wind speed.
The wind turbine model comprises a fan blade, a hub, a gear box, a transmission shaft, a coupling and other mechanical devices for starting up, accelerating, connecting and transmitting. The pitch control system is used for a variable pitch fan, blades of the fixed pitch fan are designed according to a stall effect, wind power can be automatically adjusted according to the wind speed, the pitch control system is not provided, and the pitch control system is similar to a variable pitch wind generating set.
The basic links of the double-fed wind driven generator mathematical model comprise five parts: the wind turbine, the propeller pitch control system, the generator and the current converter, the excitation control system and the wind speed. The wind speed model in the model is consistent with the wind turbine generator set with the fixed rotating speed.
The related function formulas of the wind power models corresponding to the fixed-speed wind turbine and the double-fed wind turbine are as follows:
Figure BDA0002550949220000061
Figure BDA0002550949220000062
Mm＝Mt (3)
Figure BDA0002550949220000063
Figure BDA0002550949220000064
Figure BDA0002550949220000065
Figure BDA0002550949220000066
Figure BDA0002550949220000067
βc＝kωVw+kpp(Ps-Pref)+X (9)
in the formula:
Mwis the per unit value (p.u.) of the blade output torque; ρ is the air density (kg/m)3) (ii) a Omega is the mechanical rotation speed (rad/s) of the wind turbine; a ═ pi R2The wind area of the wind turbine blade is the wind sweeping area,r is the wind turbine radius (m); vin、VoutRespectively the cut-in wind speed and the cut-out wind speed (m/s) of the wind turbine; omegaNAnd BMVARespectively, rated mechanical angular velocity (rad/s) and system reference capacity (MVA) of the wind turbine.
CPThe wind energy utilization coefficient of the wind turbine is the ratio of the wind energy absorbed by the wind turbine per unit time to the total wind energy passing through the rotating surface of the blade. According to Betz theory, CPThe maximum value is 0.593. The speed ratio lambda of the speed-changing device to the tip of a wind turbine (the ratio lambda of the linear speed of the top end of the blade of the wind turbine to the wind speed is omega R/V)w) Related to the pitch angle β, which is expressed in the dynamic simulation as a non-linear function of λ and β, i.e., CP＝f(λ，β)。
MtIs the hub torque (p.u); mwIs the blade torque (p.u); t ishTime constant(s), M, being the time lag effectmMechanical torque (p.u) for input to the generator side to do work.
Figure BDA0002550949220000071
rsStator voltage, current and resistance (p.u), respectively;
Figure BDA0002550949220000072
equivalent transient reactance (p.u); x is the number ofs、xr、xmStator leakage reactance, rotor leakage reactance and excitation reactance (p.u), respectively.
MeIs the electromagnetic torque of the generator; mmIs a mechanical torque input to the generator side; t isjIs the time constant of inertia. Slip s follows the definition of the motor convention, i.e.
Figure BDA0002550949220000073
S is a negative value when operating as a generator;
Figure BDA0002550949220000074
is the rotor winding time constant(s) when the stator winding is open; ex' and Ey' respectively is a transient potential
Figure BDA0002550949220000075
The real and imaginary parts of (c); i issxAnd IsyRespectively stator current
Figure BDA0002550949220000076
The real and imaginary parts of (c); x ═ xs+xm。
Re (-) is the real part; ω is the electrical angular velocity (p.u).
X is an intermediate state variable introduced by an integration link; τ is the controller servo time constant(s); k is a radical ofω、kpi、kppIs a controller parameter; psAnd PrefRespectively outputting active power and given reference active power (p.u) for the wind generating set.
(2) Photovoltaic power supply simulation modeling
The photovoltaic power generation system mainly comprises a photovoltaic array, a DC-DC device and an inverter. When simulation modeling research is carried out, mathematical models of main components of the system need to be respectively constructed, and finally, the models are combined according to an actual connection mode, so that an overall framework of the photovoltaic power generation system is formed. Now, aiming at the characteristics of a single-stage photovoltaic power generation system and a two-stage photovoltaic power generation system, the connection schematic diagram of each part is as follows, and then each component is modeled.
The single-stage photovoltaic power generation model comprises a photovoltaic array, a power inverter and a grid-connected interface, and the connection relations of all parts of the three-part single-stage photovoltaic power generation system are as follows: output current (I) of a photovoltaic arraypv) And output power (P)pv) Is connected with the inverter; inverter outputting maximum operating voltage (V) of photovoltaic arraypv) The photovoltaic array always works at the maximum power point; the power grid feeds back the voltage of the power grid and an initial value thereof, and the initial value of power is sent to an inverter link so as to ensure the accuracy of the initial value and eliminate the influence of grid-connected voltage on control; the grid-connected current amplitude value Is of photovoltaic power generation output by the inverter Is multiplied by a grid voltage phase angle theta, and Is converted into a real part ITR and an imaginary part ITI form to be output to a power grid.
The two-stage photovoltaic power generation model comprises four parts of a photovoltaic array, a DC-DC booster, a power inverter and a grid-connected interface conversion part, and the connection relation of each part of the two-stage photovoltaic power generation system is as follows: the input voltage (Vpv) of the photovoltaic array is provided by the output voltage of the DC-DC part, and the photovoltaic array always works at the maximum power point through MPPT control; the input voltage (Vd) of the DC-DC part is provided by the output voltage of the inverter part, so that the input voltage is stabilized at a given direct current voltage value; the output current (Ipv) and the output power (Ppv) of the photovoltaic array are connected with the inverter; the power grid feeds back the voltage of the power grid and an initial value thereof, and the initial value of power is sent to an inverter link so as to ensure the accuracy of the initial value and eliminate the influence of grid-connected voltage on control; the grid-connected current amplitude value Is of photovoltaic power generation output by the inverter Is multiplied by a grid voltage phase angle theta, and Is converted into a real part ITR and an imaginary part ITI form to be output to a power grid.
(3) Rational equivalence of high-capacity wind power plant and photovoltaic power station
Generally, a wind power plant is composed of a plurality of wind power generation sets, for example, a 200MW wind power plant needs to be provided with 334 wind power generation sets with a fixed rotating speed of 600kW or 134 wind power generation sets with a variable speed of 1.5MW, so that the wind power plant is difficult to simulate by a detailed topological structure and a wind power generation set model. The situation of a photovoltaic power station is basically consistent with that of a wind power plant. According to the existing research results, it is technically feasible to replace a wind power plant or a photovoltaic power station with equal capacity by a single high-capacity wind turbine generator or a photovoltaic power supply. The method mainly establishes an equivalent method of a large-capacity wind power plant and a photovoltaic power station under the condition of large-scale wind power and photovoltaic power centralized access suitable for engineering application. According to equivalence analysis and comparison analysis. The patent adopts the following equivalence principle: the steady state calculation uses a certain power factor to calculate the reactive power when a certain active power is output, and the dynamic calculation adopts a single large-capacity wind turbine (photovoltaic power supply) to simulate an equal-capacity wind power plant (photovoltaic power station).
2. Large-scale wind and light grid-connected simulation analysis principle considering large-scale wind and light power supply combined operation superposition effect
The regional scope of large-scale wind power and photovoltaic power bases has certain dispersibility, the characteristics of wind resources and illumination resources of wind power plants and photovoltaic power stations have certain correlation, and meanwhile, the large-scale wind power and photovoltaic power bases comprise a plurality of wind power sets, photovoltaic arrays and different manufacturers, so that the control modes, protection configurations and dynamic response characteristics of the wind power and the photovoltaic power are different. How to effectively evaluate the influence of the factors is of great importance to the rationality of the large-scale wind and light combined grid-connected simulation analysis result. The large-scale wind-solar grid-connected simulation analysis principle which is formulated by the patent and takes the superposition effect of large-scale wind-solar power supply combined operation into consideration comprises three contents: an effect reduction simulation principle is based on the accumulation of the wind power plant, the photovoltaic power station wind resource and the illumination resource characteristic correlation; a wind-solar power supply complementary effect simulation principle based on the time-space difference of wind and light power supplies; the effective calculation of the differences of the multi-type wind and light power supplies and the control modes thereof and the simulation principle. The concrete description is as follows.
(1) Cumulative effect reduction simulation principle based on wind power plant, photovoltaic power station wind resource and illumination resource characteristic correlation
The wind-solar power supply is greatly different from a conventional power plant, the output of a wind power plant and a photovoltaic power plant is influenced by the original motive power wind and illumination of the wind power plant and the photovoltaic power plant and fluctuates randomly, and the output of the wind-solar power supply is lower than the rated capacity of the wind power plant and the photovoltaic power plant in most cases; secondly, one area may have a plurality of wind power plants and photovoltaic power stations, namely, the distribution of the wind power plants and the photovoltaic power stations in one area is scattered; thirdly, a wind farm or photovoltaic power plant is often composed of tens, hundreds or even hundreds of wind turbines or photovoltaic arrays, i.e. the distribution is distributed. Due to the randomness of the output of the wind power plant and the photovoltaic power station and the dispersion of the distribution of the wind power plant and the wind generating set, the correlation problem of the photovoltaic power station of the wind power plant needs to be researched based on meteorological data w of the wind power plant and the photovoltaic power station, and the power output characteristic P of the cumulative effect reduction function F (w) of the correlation of the wind resource and the illumination resource characteristics of the wind power plant and the photovoltaic power station is determined0And providing basis for calculation of the power system.
(2) Wind-solar power supply complementary effect simulation principle based on wind and light power supply space-time difference
The prime power of the wind power supply and the prime power of the photovoltaic power supply are wind and illumination respectively, and the wind power supply and the photovoltaic power supply have difference in time scale, for example, the wind coming at night in northern areas of China is often larger than the daytime, and the illumination is always larger than the illumination in the daytimeResources are concentrated only in the daytime, etc.; there is also spatial diversity. Therefore, the power output characteristic P under the wind-solar power supply combined grid-connected condition is also a complementary effect function on two variables (t, d) of time and space, namely P ═ G (t, d, P)0)。
(3) The effective calculation of the difference of the multi-type wind and light power sources and the control modes thereof and the simulation principle have the advantages that the types of wind motors in each wind power plant are more, the number of manufacturers is large, the control logic difference is larger, and the problem is more obvious particularly in a large-scale wind power base. The wind turbine modeling work of software at home and abroad cannot fully cover various wind turbines. In the grid-connected analysis of a large-scale wind power base, how to reasonably simulate and correct the differences of the dynamic characteristics of various fan types is very important. Different simulation analysis contents have different influences on the difference of the dynamic characteristics of the types of the multi-wind machines, the reasonable simulation and correction problems of the multi-wind machines need to be considered in the analysis with strong correlation influence, and the correction problems of the multi-wind machines can be not considered in the analysis with weaker correlation or basic decoupling. Therefore, the reasonable simulation correction of the multi-fan type comprises two parts of contents, namely determining a simulation calculation link needing correction, selecting methods such as high-weight ghost response factor accurate simulation and extreme value inclusion according to a moderate and slightly conservative objective function aiming at simulation analysis performed, and determining a reasonable simulation correction function of the multi-fan type
Figure BDA0002550949220000101
Of x, wherein x1,x2,x3,...,xnA strong influence factor corrected for a rational simulation of the multi-fan type.
Different control modes exist in a wind power plant and a photovoltaic power station, for example, a double-fed wind turbine generator which is currently mainly applied can operate in a constant voltage control mode and a constant power factor control mode, in the constant voltage control mode of a double-fed machine, a set value of a control voltage at a wind turbine end can also be in a per unit value range of 0.97 to 1.03, in the constant power factor control mode of the double-fed machine, a power factor can also be changed in a range of-0.97 to 0.97 as required, and the photovoltaic power supply also has the variable range. Thus is inIn large-scale wind and light power supply combined grid-connected analysis, how to effectively account for the influence of the difference and uncertainty of a wind and light control module on a simulation result is very important. Different simulation analysis contents, the differences of the wind-solar power control module and the influence of uncertainty are different, the reasonable simulation problem needs to be considered in the analysis with strong correlation influence, and the simulation problem can be not considered in the analysis with weak correlation or basic decoupling. Therefore, effective calculation and function determination of the difference of the wind and solar power supply control modes comprise two parts of contents, namely, determining a simulation calculation link needing emphasis simulation, and selecting methods such as high-weight ghost response factor accurate simulation and extreme value inclusion for correction by using a moderate and slightly conservative objective function aiming at simulation analysis performed so as to determine the effective calculation and function determination of the difference of the wind and solar power supply control modes
Figure BDA0002550949220000102
Wherein y is1,y2,y3,...,ynThe method is a strong influence factor in effective consideration of the difference of the wind and light power supply control modes.
Step 2: decoupling analysis is carried out on the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid, so as to obtain simulation decoupling analysis results among variables, wherein the simulation decoupling analysis results are as follows:
3. simulation decoupling analysis principle considering mutual influence coupling effect of wind power, photovoltaic power and power grid
After the large-scale wind and light power supplies are combined and operated in a grid-connected mode, mutual influence is bound to exist between the wind and light power supplies and the power grids, and influence among the power supplies with different degrees exists according to the incidence relation of the electrical distance between the wind and light power supplies, the setting condition of protection control parameters and the like. These variables and factors are coupled with each other, forming a complex multivariable coupling effect. For convenience of analysis, the standard N-1 and N-2 element fault disconnection in power grid simulation is taken as a research scene, and the mutual influence coupling relation function R (w) of wind power, photovoltaic power and power grid is evaluatedG，sGG). Wherein wG，sGAnd g represents a wind power supply, a photovoltaic power supply and a power grid respectively. From two to twoThe value range of the coupling relation function between the variable elements is [0,1 ]]If the value is smaller, no coupling relation exists between corresponding independent variables, and the mutual influence of the independent variables can not be analyzed independently in subsequent simulation analysis, and vice versa.
And step 3: and carrying out simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result, wherein the simulation evaluation method specifically comprises the following steps:
4. analysis framework and process for system simulation evaluation of large-scale wind-solar combined grid connection
After a power supply simulation model of a wind and light power supply base to be analyzed is established and a reasonable equivalence method of a large-capacity wind power plant is determined according to actual conditions, a large-scale wind and light grid-connected simulation analysis principle of 2 and 3, which takes the superposition effect of large-scale wind and light power supply combined operation into consideration, and a simulation decoupling analysis principle of mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid into consideration can be used for carrying out system simulation evaluation analysis of large-scale wind and light power supply combined grid-connection after wind and light power supplies are reasonably equivalent and effectively decoupled, and a corresponding algorithm flow and a corresponding framework are shown in fig. 2.
6. Effects of the invention
The large-scale wind and light power supply combined grid-connected system simulation analysis method provided by the patent can fully consider the characteristics of a large-scale wind and light power supply base, and realizes accurate modeling of multiple wind generating set types, reasonable equivalence of a large wind power plant and a photovoltaic power station, effective evaluation of wind and light power supplies suitable for engineering application and control and protection system differences, comprehensive coverage of influence of grid-connection of wind generating sets on system dynamic characteristics and the like.
Compared with the existing system simulation analysis method for new energy grid connection analysis, the method provided by the patent can comprehensively and objectively account for the influence of the difference of wind and photovoltaic power supply and response characteristics and the wind and illumination resource characteristics on the dynamic characteristics of the power system after large-scale wind power and photovoltaic new energy power supplies are connected to the grid, and accurately evaluate the impact and safety bottleneck of the wind and photovoltaic power supply grid connection on the stable operation of the power system. The method is beneficial to scheduling operators to accurately grasp the influence and the rule of large-scale wind and light power supply access on the system characteristics, and has great significance for guiding and making corresponding precautionary and improvement measures and ensuring the normal operation of the system after the wind and light power supply access.
Example 2
The invention based on the same invention concept also provides a system simulation analysis system for wind-solar power supply combined grid connection, which comprises:
the simulation module is used for simulating output power output characteristics based on a power supply simulation model pre-established by a wind power, a wind power and a photovoltaic power supply in the wind and light power supply combined grid-connected system by considering the superposition effect of wind resource characteristics and the difference of dynamic response;
the decoupling analysis module is used for decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain a simulation decoupling analysis result among variables;
the evaluation module is used for carrying out simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result;
the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located.
The simulation module comprises: a judging unit and a power output unit;
the judging unit is used for judging whether meteorological data of a fan and a photovoltaic power supply exist or not according to the wind power photovoltaic power station;
the power output unit is used for determining the power output characteristic of an accumulative effect reducing function of the correlation between the fan and the photovoltaic power supply when meteorological data of the fan and the photovoltaic power supply exist, and determining a fan and photovoltaic power supply complementary effect simulation function of the space-time difference of the fan and the photovoltaic power supply based on the power output characteristic of the accumulative effect reducing function to obtain the power output characteristic; and when meteorological data of the fan and the photovoltaic power supply do not exist, directly determining the fan and photovoltaic power supply complementary effect simulation functions of the fan and the photovoltaic power supply time-space difference to obtain the power output characteristic.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (10)

1. A system simulation analysis method for wind-solar power combined grid connection is characterized by comprising the following steps:
simulating output power output characteristics by considering the superposition effect of wind resource characteristics and the difference of dynamic response based on a power supply simulation model pre-established by a fan and a photovoltaic power supply in the wind-solar power supply combined grid-connected system;
decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain simulation decoupling and analysis results among variables;
performing simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result;
the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located.
2. The method for system simulation analysis of wind-solar power supply combined grid connection according to claim 1, wherein the power supply simulation model pre-established for the wind turbine and the photovoltaic power supply in the system based on wind-solar power supply combined grid connection determines the time-space difference of the wind turbine and the photovoltaic power supply and outputs the power output characteristics, and comprises:
judging whether meteorological data of a fan and a photovoltaic power supply exist or not according to the wind power photovoltaic power station;
if the wind power generation system power output characteristic exists, determining the power output characteristic of an accumulative effect reducing function of the correlation between the wind turbine and the photovoltaic power supply, and determining a wind turbine and photovoltaic power supply complementary effect simulation function of the time-space difference of the wind turbine and the photovoltaic power supply based on the power output characteristic of the accumulative effect reducing function to obtain the power output characteristic;
otherwise, directly determining the fan and photovoltaic power supply complementary effect simulation functions of the fan and the photovoltaic power supply time-space difference to obtain the power output characteristic.
3. The wind-solar-power combined grid-connected system simulation analysis method of claim 2, wherein the complementary effect simulation function has the following expression:
P＝G(t,d,P0)
in the formula: p represents a power output characteristic; t represents a time variable; d represents a spatial variable; p0Represents the power output characteristics of the additive effect reduction function f (w), where w is meteorological data.
4. The wind-solar power supply combined grid-connection system simulation analysis method of claim 1, wherein the decoupling analysis of the output power output characteristics based on the consideration of the wind power, photovoltaic power supply and grid interaction coupling effect to obtain simulation decoupling analysis results among variables comprises:
determining the types of the fan and the photovoltaic power supply based on the power output characteristics, and judging whether factors influencing the fan and the photovoltaic power supply exist or not;
if the wind power generation system exists, simulating the effective calculation of the corrected strong influence factor and the fan control mode difference and the output of the function, and then calculating the mutual influence coupling effect simulation decoupling analysis of the fan, the photovoltaic power supply and the power grid;
otherwise, directly carrying out simulation decoupling analysis on the mutual influence coupling effect of the fan, the photovoltaic power supply and the power grid.
5. The method for system simulation analysis of wind-solar-power combined grid-connection of claim 4, wherein the strong influence factor of the analog correction is as follows:
Figure FDA0002550949210000021
wherein x is1,x2,x3,...,xnA strong influence factor corrected for a rational simulation of the multi-fan type.
6. The method for system simulation analysis of wind-solar-power combined grid-connection of claim 4, wherein the effective accounting of the differences of the wind-solar-power control modes takes into account functions as follows:
Figure FDA0002550949210000022
wherein y is1,y2,y3,...,ynThe method is a strong influence factor in effective consideration of the difference of the wind and light power supply control modes.
7. The wind-solar-power combined grid-connected system simulation analysis method of claim 4, wherein the simulation decoupling analysis is represented by the following formula:
R(Wc,Sc,g)
wherein wG，sGG represents a wind power supply, a photovoltaic power supply and a power grid respectively, and the value range of a coupling relation function between any two independent variable elements is [0,1 ]]。
8. The system simulation analysis method of wind-solar power supply combined grid connection of claim 1, wherein the power supply simulation model pre-established based on the wind-solar power supply combined grid connection system fan and the photovoltaic power supply comprises:
determining an equivalence principle of a fan power station according to the characteristics of a fan base, and establishing a fan power supply simulation model;
determining an equivalence principle of a photovoltaic power station according to the characteristics of a photovoltaic power generation field, and establishing a photovoltaic power supply simulation model;
and constructing a power supply simulation model by the fan power supply simulation model and the photovoltaic power supply simulation model.
9. The wind-solar-power combined grid-connected system simulation analysis method of claim 8, wherein the equivalence principle comprises the following steps:
in the aspect of steady-state calculation, reactive power at certain active power output is calculated by using a certain power factor;
in the aspect of dynamic calculation, a single high-capacity wind turbine generator/photovoltaic power supply is adopted to simulate an equal-capacity wind power plant/photovoltaic power station.
10. A system simulation analysis system for wind-solar power combined grid connection is characterized by comprising:
the simulation module is used for simulating output power output characteristics based on a power supply simulation model pre-established by a wind power, a wind power and a photovoltaic power supply in the wind and light power supply combined grid-connected system by considering the superposition effect of wind resource characteristics and the difference of dynamic response;
the decoupling analysis module is used for decoupling and analyzing the output power output characteristics based on the mutual influence coupling effect of wind power, a photovoltaic power supply and a power grid to obtain a simulation decoupling analysis result among variables;
the evaluation module is used for carrying out simulation evaluation on impact and safety caused by stable operation of the wind-solar power supply combined grid-connected system based on the simulation decoupling analysis result;
the variable comprises a fan power supply of a power grid in which the wind-solar power supply combined grid-connected system is located, a photovoltaic power supply of the power grid in which the wind-solar power supply combined grid-connected system is located and the power grid in which the wind-solar power supply combined grid-connected system is located.
CN202010576800.3A 2020-06-22 2020-06-22 System simulation analysis method and system for wind-solar power supply combined grid connection Pending CN111934357A (en)

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