CN117691609A - Compensation control method and control system for voltage drop of photovoltaic micro-grid - Google Patents
Compensation control method and control system for voltage drop of photovoltaic micro-grid Download PDFInfo
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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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
- H02J3/381—Dispersed generators
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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
- 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]
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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
- 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
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- 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
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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Abstract
The invention discloses a compensation control method and a control system for voltage drop of a photovoltaic micro-grid, wherein the control method comprises the following steps: s1, collecting three-phase bus voltage and load three-phase voltage of a photovoltaic micro-grid; s2, modulating the three-phase bus voltage and the load three-phase voltage and then sending the modulated three-phase bus voltage and the load three-phase voltage to a microprocessor; s3, the microprocessor obtains a voltage sag compensation instruction according to the three-phase bus voltage and the load three-phase voltage; s4, the microprocessor optimizes the output control parameters by utilizing a differential evolution-black hole fusion algorithm to obtain optimal control parametersThe method comprises the steps of carrying out a first treatment on the surface of the S5, the microprocessor controls parameters according to the optimal conditionsOutputting a PWM control signal to a driving circuit; s6, the driving circuit outputs according to the PWM control signalAnd compensating the voltage of the photovoltaic micro-grid by the output compensation voltage. The invention can dynamically compensate various disturbances in the photovoltaic micro-grid in real time, so that the voltage compensation is more accurate, the improvement of the power quality is facilitated, and the high-quality power supply is ensured.
Description
Technical Field
The invention relates to the technical field of photovoltaic micro-grids, in particular to a compensation control method and a control system for voltage drop of a photovoltaic micro-grid.
Background
The whole of the power substation and the power transmission and distribution line of various voltages in the power system is called a power grid. The power transformation, transmission and distribution system comprises three units. The task of the power grid is to deliver and distribute electrical energy, changing the voltage. With the continuous improvement of the permeability of a distributed power supply represented by photovoltaic power and wind power in a power grid and the access of nonlinear loads, the power grid is more easily interfered by different electric energy quality problems such as voltage drop, voltage fluctuation and the like.
The existing solution is to use a unified power quality regulator (Unified Power Quality Conditioner, abbreviated as UPQC) to manage the power quality of the grid. The unified power quality regulator is a power electronic device which integrates a voltage compensation device, a current compensation device and an energy storage device, can improve the power supply quality of a power grid side, can prevent current harmonic waves of a load side from polluting the power grid, and can realize multiple power quality regulating functions.
However, compared to a general micro grid, the photovoltaic micro grid is more affected by weather and sunlight intensity, and the fluctuation of the power generation amount is stronger. Moreover, due to the problems of voltage drop of the power distribution network caused by the characteristics of randomness, intermittence and the like of new energy sources of grid connection such as photovoltaic and the like, the effect of adjusting by utilizing the unified power quality regulator is not ideal.
Disclosure of Invention
The invention aims to solve the technical problems that: how to improve the voltage drop compensation effect of the photovoltaic micro-grid. Therefore, the invention provides a compensation control method and a control system for voltage drop of a photovoltaic micro-grid.
The technical scheme adopted for solving the technical problems is as follows: a compensation control method for voltage drop of a photovoltaic micro-grid comprises the following steps:
s1, collecting three-phase bus voltage and load three-phase voltage of a photovoltaic micro-grid;
s2, modulating the three-phase bus voltage and the load three-phase voltage and then sending the modulated three-phase bus voltage and the load three-phase voltage to a microprocessor;
s3, the microprocessor obtains a voltage drop compensation instruction according to the three-phase bus voltage and the load three-phase voltage;
s4, the microprocessor optimizes the output control parameters by utilizing a differential evolution-black hole fusion algorithm to obtain optimal control parameters；
S5, the microprocessor controls parameters according to the optimal conditionsOutputting a PWM control signal to a driving circuit;
and S6, the driving circuit outputs compensation voltage according to the PWM control signal to compensate the voltage of the photovoltaic micro-grid.
Further, the processing steps of the differential evolution-black hole fusion algorithm comprise:
s41, establishing an output model of the microprocessor:，
representing the actual output +.>Representing a voltage sag compensation command,/->Representing the proportionality coefficient>Representing differential coefficient +_>And->For observation of the expanded stateOutput parameters of the device;
s42, initializing a population, and setting the initial value of the iteration number k to be 0;
s43, calculating the fitness of each individual in the populationAnd initializing the corresponding amplification factor of each individualAnd cross probability->Simultaneously establishing an objective functionJ；
S44, obtaining variant individualsAnd variant ∈>Corresponding->And->；
S45, letting the variantThrough random black holes, obtain ∈10->；
S46, obtaining the optimal individual after the cross variation and the random black holes；
S47, comparing the optimal individualsAnd individuals->Is suitable for (a)The fitness, select more optimal individuals and corresponding +.>Andentering the next iteration;
s48, repeating the steps S42 to S47 until vectors can be formed in the population to enable the objective functionJMinimum, the vector is taken as a solution vector, and the solution vector is the optimal solution。
Further, the formula for initializing the population is:
wherein,representing population of individuals->Representing a random matrix of rows F and columns subject to a uniform distribution of 0-1 +.>Output power of the participating scheduling units is represented, i=1, 2,3,..n, n represents the population number, and F represents the number of units participating in scheduling.
Further, the individualWhen mutation is carried out, three father individuals are randomly selected from the population +.>、/>、/>Wherein->Variant individuals->The generation formula of (2) is as follows:
wherein,represents the mth individual in the kth iteration population,/->Representing +.f in the kth iteration population>Individual(s), fright>Representing +.f in the kth iteration population>Individual(s), fright>Representing +.f in the kth iteration population>Individual(s), fright>Represents an amplification factor->Represents the crossover probability->Representing random numbers subject to a uniform distribution of 0 to 1.
Further, amplifyFactors ofAnd cross probability->The selection rules of (a) are as follows:
wherein,、/>、/>individual->、/>、/>Is>、/>、/>Individual->、/>、/>Cross probability of->、/>、/>、/>、/>、/>Are random numbers subject to uniform distribution of 0 to 1.
Further, the individual obtained after the random black holeThe calculation formula of (2) is as follows:
wherein,representing the effective radius of the random black hole, +.>Representing the attraction between random black holes and population individuals, < ->Indicates the set gravitational threshold, +_>Indicating compliance with [ -1,1]Is a uniform distribution of random numbers, scale represents the search space of the population,indicating compliance with [ -1,1]Is a random number of a uniform distribution.
Further, the individual is calculatedAnd->Is->、/>Select->And->Is the current optimal individual +.>：
；
Calculating the current optimal individualFitness and individual->Is selected from->And->Is a better individual and a corresponding +.>And->Entering the next iteration, and taking the reserved better individual as the parent +.>：
。
The invention also provides a compensation control system for voltage drop of the photovoltaic micro-grid, which comprises: the photovoltaic micro-grid voltage drop compensation control system comprises a unified power quality regulator and a power supply, wherein the power supply is connected with the unified power quality regulator, the unified power quality regulator is connected into the photovoltaic micro-grid, and the unified power quality regulator compensates the voltage of the photovoltaic micro-grid by adopting the photovoltaic micro-grid voltage drop compensation control method.
Further, the unified power quality conditioner includes:
the voltage acquisition module is used for acquiring three-phase bus voltage and load three-phase voltage of the photovoltaic micro-grid;
the voltage modulation module is used for modulating the three-phase bus voltage and the load three-phase voltage into signals which can be processed by the microprocessor;
the microprocessor is used for receiving the modulated three-phase bus voltage and the load three-phase voltage, and optimizing control parameters by adopting a differential evolution-black hole fusion algorithm;
and the driving circuit is used for receiving the PWM control signal sent by the microprocessor and compensating the voltage of the photovoltaic micro-grid according to the PWM control signal.
The compensation control method and the control system for the voltage drop of the photovoltaic micro-grid have the beneficial effects that the control parameters of the unified power quality regulator are determined by applying the differential evolution-black hole fusion algorithm in the unified power quality regulator, so that on one hand, various disturbances in the photovoltaic micro-grid can be dynamically compensated in real time, the voltage compensation is more accurate, the improvement of the power quality is facilitated, and the high-quality power supply is ensured; on the other hand, the fluctuation of the photovoltaic micro-grid can be effectively stabilized, and the stability and reliability of power supply are improved.
Drawings
The invention will be further described with reference to the drawings and examples.
Fig. 1 is a schematic diagram of the structure of a unified power quality conditioner of the present invention.
Fig. 2 is a schematic diagram of the voltage sag compensation of the present invention.
Fig. 3 is a control schematic of the microprocessor of the present invention.
FIG. 4 is a flow chart of the differential evolution-black hole fusion algorithm of the present invention.
Detailed Description
The invention will now be described in further detail with reference to the accompanying drawings. The drawings are simplified schematic representations which merely illustrate the basic structure of the invention and therefore show only the structures which are relevant to the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, features defining "first", "second" may include one or more such features, either explicitly or implicitly. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
As shown in fig. 1, a compensation control system for voltage sag of a photovoltaic micro-grid includes: the device comprises a unified power quality regulator and a power supply, wherein the power supply is connected with the unified power quality regulator, the unified power quality regulator is connected into a photovoltaic micro-grid, and the unified power quality regulator compensates the voltage of the photovoltaic micro-grid by adopting a compensation control method of voltage drop of the photovoltaic micro-grid. The unified power quality conditioner includes: the voltage acquisition module is used for acquiring three-phase bus voltage and load three-phase voltage of the photovoltaic micro-grid; the voltage modulation module is used for modulating the three-phase bus voltage and the load three-phase voltage into signals which can be processed by the microprocessor; the microprocessor is used for receiving the modulated three-phase bus voltage and the load three-phase voltage, and optimizing control parameters by adopting a differential evolution-black hole fusion algorithm; and the driving circuit is used for receiving the PWM control signal sent by the microprocessor and compensating the voltage of the photovoltaic micro-grid according to the PWM control signal.
As shown in fig. 2 to 4, the compensation control method for voltage drop of a photovoltaic micro-grid of the present invention includes: s1, collecting three-phase bus voltage and load three-phase voltage of a photovoltaic micro-grid; s2, modulating the three-phase bus voltage and the load three-phase voltage and then sending the modulated three-phase bus voltage and the load three-phase voltage to a microprocessor; s3, the microprocessor obtains a voltage sag compensation instruction according to the three-phase bus voltage and the load three-phase voltage; s4, the microprocessor optimizes the output control parameters by utilizing a differential evolution-black hole fusion algorithm to obtain optimal control parametersThe method comprises the steps of carrying out a first treatment on the surface of the S5, the microprocessor is controlled according to optimal control parameters +.>Output PWM control signal to driveA circuit; and S6, the driving circuit outputs compensation voltage according to the PWM control signal to compensate the voltage of the photovoltaic micro-grid.
That is, the voltage drop compensation of the photovoltaic micro-grid is not only dependent on the unified power quality regulator, but the differential evolution-black hole fusion algorithm is embedded in the unified power quality regulator to optimize the control parameters output by the microprocessor, so that the voltage compensation effect is remarkably improved.
It should be noted that the differential evolution algorithm is a direct search algorithm for searching for a globally optimal solution through cooperation and competition among population individuals. The real number coding is adopted, and the method is suitable for solving the optimization problem of continuous variables. In the differential evolution algorithm, three individuals are randomly selected, mutation and crossover operation are carried out according to a certain rule, new individuals are generated, and then the individuals with better adaptability are selected to replace the worst individuals in the population so as to gradually approach to the global optimal solution. The black hole search strategy is a heuristic search strategy that finds a globally optimal solution by simulating the phagocytic behavior of a black hole. In the black hole search strategy, the search space is divided into a plurality of areas, each area corresponding to one black hole. Each black hole has an attractor for attracting surrounding individuals. When the attractor of a certain black hole is overridden by the attractors of other black holes, the black hole is eliminated, and the surrounding individuals are sucked into the new black hole.
The invention fuses the differential evolution algorithm and the black hole searching strategy, combines the advantages of the differential evolution algorithm and the black hole searching strategy, and can more effectively find the global optimal solution through the global searching capability of the differential evolution algorithm and the local searching capability of the black hole searching strategy. For the photovoltaic micro-grid, the differential evolution algorithm has better performance than other optimization algorithms in solving the complex problem, has better convergence and global searching capability, and can effectively solve the problem of power supply and demand balance. Differential evolution algorithms have advantages in terms of optimization to deal with large-scale, high-dimensionality and highly nonlinear problems. The operation and control of photovoltaic micro-grids involves a number of factors and complex constraints, such as scheduling of energy, distribution of electrical loads, access of distributed energy sources, etc. The differential evolution algorithm can deal with these complex problems and find the optimal solution by constantly iterating and adjusting parameters. The black hole search strategy has better global search capability and is easy to parallelize. The differential evolution algorithm and the black hole search strategy are fused, so that the advantages of the differential evolution algorithm and the black hole search strategy can be combined, and the advantages of the differential evolution algorithm, namely the population diversity maintaining capability and the robustness, the global search capability of the black hole search strategy and the early ripening convergence avoidance are utilized. Therefore, the solving efficiency and the solving precision of the optimization problem of the photovoltaic micro-grid can be improved, and the global searching capability and the robustness of the algorithm are enhanced.
Specifically, the three-phase bus voltage of the photovoltaic micro-grid collected by the voltage collection module is recorded as、/>、/>The three-phase voltage of the load is recorded as->、/>、/>. The voltage modulation module will receive +.>、/>、/>、/>、/>、/>Modulated into a signal that can be processed by a microprocessor. The microprocessor will receive->、/>、/>The signal is subjected to abc/dq park transformation to obtainAnd->，/>And->Filtering with Low Pass Filter (LPF) with cut-off frequency of 50Hz to obtain low frequency component ∈of voltage>And->. Then the low frequency component +.>And->Performing dq/abc park inverse transformation to obtain voltage signal +.>、、/>. Voltage signal->、/>、/>Subtracting the three-phase bus voltage to obtain a voltage drop compensation instruction +.>、/>、. An active disturbance rejection control module (ADRC for short) is arranged in the microprocessor, and a voltage drop compensation instruction is +.>、/>、/>As an input of the active disturbance rejection control module, the active disturbance rejection control module outputs a corresponding control signal. The differential evolution-black hole algorithm is used for optimizing the control signal output by the active disturbance rejection control module.
Specifically, the processing steps of the differential evolution-black hole fusion algorithm include:
s41, establishing an output model of the microprocessor:，
represents the actual output (i.e. the control signal of the output),>representing a voltage sag compensation command (i.e.)>、/>、），/>Representing the proportionality coefficient>Representing differential coefficient +_>And->Is an output parameter of the extended state observer. The extended state observer can compensate disturbance of the active disturbance rejection control module, and the number of output parameters corresponds to the number of parameters to be optimized. />And->Is to influence the output signal +.>The differential evolution-black hole fusion algorithm is mainly for +.>And->Optimizing to make the output control signal be the mostAnd (3) the advantages are good. As FIG. 3 shows the control principle of a microprocessor, voltage sag compensation command +.>As input, according to the formula->An output object P(s), b is obtained after operation 0 A control parameter representing the active disturbance rejection control module can be set to a value by itself. The output object P(s) is fed back to the extended state observer for circulation, and when the output object P(s) reaches the optimal value, the optimal value P(s) is taken as +.>And outputting.
S42, initializing a population, and setting the initial value of the iteration number k to be 0.
Each time an iteration is added, k=k+1. The iteration times are determined by the objective functionIs determined by the minimum value of (2).
The formula for initializing the population is as follows:
wherein,representing population of individuals->Representing a random matrix of rows F and columns subject to a uniform distribution of 0-1 +.>Output power of the participating scheduling units is represented, i=1, 2,3,..n, n represents the population number, and F represents the number of units participating in scheduling. />Representing the most output powerSmall value (S)>Represents the maximum value of the output power, ">"means the dot product operator. In the invention, a random matrix is introduced into the population initialization formula>The diversity and search space of the population can be enlarged, the speed of converging the individuals of the population to the optimal solution is improved, and the field of view of the individuals of the population is developed. When the population is initialized, if the population adopts a fixed sequence, the diversity of the population is reduced, the searching space of the population is compressed, and the advantages of the population can not be fully exerted.
S43, calculating the fitness of each individual in the populationAnd initializing the corresponding amplification factor of each individualAnd cross probability->Simultaneously establishing an objective functionJ。
Wherein the fitness isThe calculation formula of (2) is as follows:
，
，i=1，2，...，n。/>represents an amplification factor->Represents the crossover probability->And->The initial value is randomly selected from a normal distribution with an average value of 0.5 and a standard deviation of 0.1.
Objective functionJThe calculation formula of (2) is as follows:，/>for maximum value of amplification factor, +.>For the minimum value of the amplification factor, +.>Represents the actual output (i.e. the control signal of the output),>representing a voltage sag compensation command (i.e.)>、/>、/>），/>Time is indicated.
S44, obtaining variant individualsAnd variant ∈>Corresponding->And->。
Individual bodyWhen mutation is carried out, three father individuals are randomly selected from the population +.>、/>、/>Wherein, the method comprises the steps of, wherein,variant individuals->The generation formula of (2) is as follows:
wherein,represents the mth individual in the kth iteration population,/->Representing +.f in the kth iteration population>Individual(s), fright>Representing +.f in the kth iteration population>Individual(s), fright>Representing +.f in the kth iteration population>Individual(s), fright>Representing random numbers subject to a uniform distribution of 0 to 1. That is, individuals->If the crossover probability is variable＞/>Variant individuals->The method comprises the steps of carrying out a first treatment on the surface of the If the cross probability->＜/>Variant individuals->The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, variant individuals->. In the present invention, cross probability in iteration +.>Random number +.>The function of (2) is: 1. by introducing random numbers (random bias perturbations), the algorithm can be usedThe method can jump out the local optimal solution in the searching process, explore a wider solution space, and therefore enhance the global optimizing capability. Random numbers can introduce more uncertainty into the algorithm, helping to maintain diversity in the population. In the optimization process, the maintenance of diversity helps to avoid premature convergence, so that the algorithm can continuously explore the solution space, and the possibility of finally finding the globally optimal solution is improved. 2. By introducing random numbers, the algorithm can adaptively change the search strategy according to the characteristics of the solution space, and the adaptivity enables the algorithm to be better adapted to the characteristics of complex problems, so that the search efficiency is improved.
Wherein the amplification factorAnd cross probability->The selection rules of (a) are as follows:
wherein,、/>、/>individual->、/>、/>Is used for the amplification factor of (a),/>、/>、/>individual->、/>、/>Cross probability of->、/>、/>、/>、/>、/>Are random numbers subject to uniform distribution of 0 to 1. />And->The value ranges of the (E) are all 0.1,1]If an iteration is outside this range, it is defined as either 0.1 or 1. It should be noted that in each iteration, 6 random numbers are regenerated before the mutation starts>、/>、/>、/>、/>、/>. Amplification factor->Probability of crossing->The selection rule of the method is associated with random numbers, so that the diversity of the population can be further expanded, the local optimal solution is jumped out in the searching process, and a wider solution space is explored, so that the global optimizing capability is enhanced, and the method can be better adapted to the characteristics of complex problems.
S45, letting the variantThrough random black holes, obtain ∈10->。
Individuals obtained after random black holesThe calculation formula of (2) is as follows:
wherein,represents the effective radius of the random black hole (in this example,/for this example)>Set to 1.5),>representing the attraction between random black holes and population individuals, < ->Indicates the set gravitational threshold, +_>Indicating compliance with [ -1,1]Is a uniform distribution of random numbers, scale represents the search space of the population, +.>Indicating compliance with [ -1,1]Is a random number of a uniform distribution. When the attractive force is greater than the attractive force threshold, the variable (i.e. +.>And->) May be randomly shifted, otherwise the variable is absorbed by the black hole.
S46, obtaining the optimal individual after the cross variation and the random black holes。
Separately calculating individualsAnd->Is->、/>Selecting/>And->Is the current optimal individual +.>Is->. The greater the fitness, the better that individual is.
S47, comparing the optimal individualsAnd individuals->Is selected to be more optimal and corresponding +.>Andthe next iteration is entered.
Calculating the current optimal individualFitness and individual->Is selected from->And->Is a better individual and a corresponding +.>And->Entering the next iteration, and taking the reserved better individual as the parent +.>。
S48, repeating the steps S42 to S47 until vectors can be provided in the population to enable the value of the objective functionTerminating the iteration, wherein the vector is taken as a solution vector, and the solution vector is the optimal solution +.>。
Optimal solutionI.e. output signal +.>I.e. +.>Determining an optimal solution->The optimal control parameter is obtained after that>。
The microprocessor is used for controlling parameters according to the optimizationAnd modulating by adopting an SVPWM space vector control method to generate a PWM control signal and sending the PWM control signal to a driving circuit. And after receiving the PWM control signal, the driving circuit outputs a corresponding compensation voltage to compensate the voltage of the photovoltaic micro-grid.
In summary, according to the compensation control method and the control system for the voltage drop of the photovoltaic micro-grid, the control parameters of the unified power quality regulator are determined by applying the differential evolution-black hole fusion algorithm in the unified power quality regulator, so that on one hand, various disturbances in the photovoltaic micro-grid can be dynamically compensated in real time, the voltage compensation is more accurate, the improvement of the power quality is facilitated, and the high-quality power supply is ensured; on the other hand, the fluctuation of the photovoltaic micro-grid can be effectively stabilized, and the stability and reliability of power supply are improved. The differential evolution-black hole fusion algorithm has better control capability on strong uncertainty and nonlinearity, has high sensitivity to an initial sequence, is stable and reliable, has small calculated amount, can select optimal control parameters aiming at different problems, can reduce human misoperation and time required for adjusting optimization algorithm parameters, and has high solving efficiency.
With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined as the scope of the claims.
Claims (9)
1. The compensation control method for the voltage drop of the photovoltaic micro-grid is characterized by comprising the following steps of:
s1, collecting three-phase bus voltage and load three-phase voltage of a photovoltaic micro-grid;
s2, modulating the three-phase bus voltage and the load three-phase voltage and then sending the modulated three-phase bus voltage and the load three-phase voltage to a microprocessor;
s3, the microprocessor obtains a voltage drop compensation instruction according to the three-phase bus voltage and the load three-phase voltage;
s4, the microprocessor optimizes the output control parameters by utilizing a differential evolution-black hole fusion algorithm to obtain optimal control parameters；
S5, the microprocessor controls parameters according to the optimal conditionsOutputting PWM control signal to driving powerA road;
and S6, the driving circuit outputs compensation voltage according to the PWM control signal to compensate the voltage of the photovoltaic micro-grid.
2. The method for compensating for voltage sag of a photovoltaic micro-grid according to claim 1, wherein the processing step of the differential evolution-black hole fusion algorithm comprises:
s41, establishing an output model of the microprocessor:，
representing the actual output +.>Representing a voltage sag compensation command,/->Representing the proportionality coefficient>Representing differential coefficient +_>And->Output parameters of the extended state observer;
s42, initializing a population, and setting the initial value of the iteration number k to be 0;
s43, calculating the fitness of each individual in the populationAnd initializing the corresponding amplification factor for each individual>And cross probability->Simultaneously establishing an objective functionJ；
S44, obtaining variant individualsAnd variant ∈>Corresponding->And->；
S45, letting the variantThrough random black holes, obtain ∈10->；
S46, obtaining the optimal individual after the cross variation and the random black holes；
S47, comparing the optimal individualsAnd individuals->Is selected to be more optimal and corresponding +.>And->Entering the next iteration;
s48, repeating the steps S42 to S47 until vectors can exist in the population to minimize the objective function, wherein the vectors are used as solution vectors, and the solution vectors are the optimal solutions。
3. The method for compensating for voltage drop across a photovoltaic microgrid according to claim 2,
the formula for initializing the population is as follows:
wherein,representing population of individuals->Representing a random matrix of rows F and columns subject to a uniform distribution of 0-1 +.>Output power output of the participating scheduling units is represented, i=1, 2,3,..n, n represents the population number, and F represents the number of units participating in scheduling.
4. The method for compensating for a voltage drop across a photovoltaic microgrid according to claim 3, wherein the individualWhen mutation is carried out, three father individuals are randomly selected from the population +.>、/>、/>Wherein->Variant individuals->The generation formula of (2) is as follows:
wherein,represents the mth individual in the kth iteration population,/->Representing +.f in the kth iteration population>Individual(s), fright>Representing +.f in the kth iteration population>Individual(s), fright>Representing +.f in the kth iteration population>The number of individuals who are to be treated,represents an amplification factor->Represents the crossover probability->Representing random numbers subject to a uniform distribution of 0 to 1.
5. The method for compensating for a voltage drop across a photovoltaic microgrid according to claim 4, wherein the amplification factor is a gain factorAnd cross probability->The selection rules of (a) are as follows:
wherein,、/>、/>individual->、/>、/>Is>、/>、/>Respectively individual、/>、/>Cross probability of->、/>、/>、/>、/>、/>Are random numbers subject to uniform distribution of 0 to 1.
6. The compensation control method for voltage drop of photovoltaic micro-grid according to claim 5, wherein the individual is obtained after passing through random black holesThe calculation formula of (2) is as follows:
wherein,representing the effective radius of the random black hole, +.>Representing the attraction between random black holes and population individuals, < ->Indicates the set gravitational threshold, +_>Indicating compliance with [ -1,1]Is a uniform distribution of random numbers, scale represents the search space of the population, +.>Indicating compliance with [ -1,1]Is a random number of a uniform distribution.
7. The compensation control method for voltage drop of photovoltaic micro-grid according to claim 6, wherein individual calculation is performed separatelyAnd->Is->、/>Select->And->Is the best individual in the population as the current best individual：
；
Calculating the current optimal individualFitness and individual->Is selected from->And->Is a better individual and a corresponding +.>And->Entering the next iteration, and taking the reserved better individual as the parent +.>：
。
8. A compensation control system for photovoltaic microgrid voltage sag, comprising: the photovoltaic micro-grid voltage drop compensation control method comprises a unified power quality regulator and a power supply, wherein the power supply is connected with the unified power quality regulator, the unified power quality regulator is connected into the photovoltaic micro-grid, and the unified power quality regulator compensates the voltage of the photovoltaic micro-grid by adopting the photovoltaic micro-grid voltage drop compensation control method according to any one of claims 1-7.
9. The compensation control system for photovoltaic microgrid voltage sag according to claim 8, wherein said unified power quality conditioner comprises:
the voltage acquisition module is used for acquiring three-phase bus voltage and load three-phase voltage of the photovoltaic micro-grid;
the voltage modulation module is used for modulating the three-phase bus voltage and the load three-phase voltage into signals which can be processed by the microprocessor;
the microprocessor is used for receiving the modulated three-phase bus voltage and the load three-phase voltage, and optimizing control parameters by adopting a differential evolution-black hole fusion algorithm;
and the driving circuit is used for receiving the PWM control signal sent by the microprocessor and compensating the voltage of the photovoltaic micro-grid according to the PWM control signal.
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