CN108233426A - A kind of micro-capacitance sensor energy control method and device - Google Patents

A kind of micro-capacitance sensor energy control method and device Download PDF

Info

Publication number
CN108233426A
CN108233426A CN201810176117.3A CN201810176117A CN108233426A CN 108233426 A CN108233426 A CN 108233426A CN 201810176117 A CN201810176117 A CN 201810176117A CN 108233426 A CN108233426 A CN 108233426A
Authority
CN
China
Prior art keywords
rotating speed
individual
micro
capacitance sensor
moment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810176117.3A
Other languages
Chinese (zh)
Other versions
CN108233426B (en
Inventor
王玉乐
陈思哲
张桂东
张淼
李惜玉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Technology
Original Assignee
Guangdong University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN201810176117.3A priority Critical patent/CN108233426B/en
Publication of CN108233426A publication Critical patent/CN108233426A/en
Application granted granted Critical
Publication of CN108233426B publication Critical patent/CN108233426B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H02J3/383
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Electrical Variables (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The embodiment of the invention discloses a kind of micro-capacitance sensor energy control method and devices.Micro-capacitance sensor energy control method provided by the invention is compared with traditional micro-capacitance sensor adjusting method, using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, pass through the rotating speed of future time instance variable frequency transformer during differential evolution algorithm calculating target function minimum, so as to adjust pressure-adjustable load consuming power, so that accumulator capacity remains at preset battery capacity or so, the utilization rate of accumulator is allowed to reduce, reduce accumulator loss, solves the technical issues of allowing the micro-capacitance sensor containing solar power generation rationally using solar energy and reducing the use of accumulator.

Description

A kind of micro-capacitance sensor energy control method and device
Technical field
The present invention relates to power domain more particularly to a kind of micro-capacitance sensor energy control methods and device.
Background technology
With the development of science and technology, social energy problem has become one of main problem of human development, and solar energy As a kind of novel environment friendly energy of heat radiation, have the features such as inexhaustible, pollution-free and at low cost, be a kind of environmental protection and warp Help the reliable energy, is widely used in the fields such as heating and heat supply.
But solar energy is influenced by weather and intensity of illumination variation round the clock, stability is poor, leads to solar electrical energy generation module Output power it is extremely unstable, solar power generation is accessed in power grid and easily entire power grid is caused to impact.Current solution Scheme is to introduce storage and release that accumulator carries out energy, but if only adjusts to stablize the sun by accumulator itself Can generate electricity the fluctuation generated, then need the accumulator of large capacity, and cost is big, and not environmentally, and long-term repeated charge is to storing Battery loss is very big, reduces the service life of accumulator.
Therefore, the micro-capacitance sensor containing solar power generation how to be allowed rationally to become using the use of solar energy and reduction accumulator The technical issues of those skilled in the art urgent need to resolve.
Invention content
The present invention provides a kind of micro-capacitance sensor energy control method and devices, solve the micro- electricity allowed containing solar power generation The technical issues of net rationally utilizes solar energy and reduces the use of accumulator.
The present invention provides a kind of micro-capacitance sensor energy control method, including:
S1:Build the population of preset individual amount, n individual dimension is expressed as following preset time period in population The rotating speed of variable frequency transformer in the micro-capacitance sensor at interior n moment, and to each in population in preset rotating speed restriction range Individual carries out initialization operation, and n is positive integer;
S2:In simultaneous micro-capacitance sensor input power and the equal constraints of consumption power and pressure-adjustable load consuming power with The relational expression of the rotating speed of variable frequency transformer obtains the relational expression of the rotating speed of accumulator input power and variable frequency transformer, And by the relational expression of accumulator input power and the rotating speed of variable frequency transformer deform to obtain each moment accumulator capacity with The relational expression of the rotating speed of variable frequency transformer, wherein, input power includes mains input power, solar power generation power and storage Battery input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
S3:Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, pass through Differential evolution algorithm is iterated population update and variation selection, while with the individual of target function value minimum after variation selection For new global optimum's individual, the rotating speed of n dimension is not as in global optimum's individual during using iteration to maximum update times Carry out the set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in preset time period, pass through variable frequency transformation The set-point of the rotating speed of device controls variable frequency transformer.
Preferably, it after step S1, is further included before step S2:
S0:The prediction intensity of illumination at n moment in following preset time period is obtained, n are calculated according to prediction intensity of illumination Solar power generation power in moment micro-capacitance sensor.
Preferably, step S3 is specifically included:
S31:Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, pass through Differential evolution algorithm is to population into row variation and crossover operation;
S32:Iteration is updated to population, by population it is each individual respectively with after corresponding crossover operation individual into It goes and compares, the smaller individual of selection target functional value is used as follow-on individual, while with target function value after variation selection most Small individual is new global optimum's individual;
S33:In global optimum's individual during using iteration to maximum update times the rotating speed at n moment as it is following preset when Between in section in the micro-capacitance sensor at n moment the rotating speed of variable frequency transformer set-point, pass through the rotating speed of variable frequency transformer Set-point variable frequency transformer is controlled.
Preferably, it after step S31, is further included before step S32:
S30:Whether the rotating speed for judging each dimension in the individual obtained after crossover operation is more than preset rotating speed constraint model It encloses, if so, by being any one preset rotating speed restriction range more than the rotating speed random replacement of preset rotating speed restriction range Interior rotating speed.
Preferably, preset rotating speed restriction range is the voltage restriction range by preset variable-frequency variable-voltage ac bus And/or the rotating speed restriction range that preset users'comfort restriction range is calculated.
The present invention provides a kind of micro-capacitance sensor energy control device, including:
Initialization unit, for building the population of preset individual amount, n individual dimension is expressed as not in population Carry out the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in preset time period, and in preset rotating speed restriction range Initialization operation is carried out to individual each in population, n is positive integer;
Mathematical units load for the constraints equal with consumption power of input power in simultaneous micro-capacitance sensor and pressure-adjustable The relational expression of consumption power and the rotating speed of variable frequency transformer obtains turn of accumulator input power and variable frequency transformer The relational expression of speed, and the relational expression of accumulator input power and the rotating speed of variable frequency transformer is deformed to obtain each moment and is stored Battery capacity and the relational expression of the rotating speed of variable frequency transformer, wherein, input power includes mains input power, solar energy is sent out Electrical power and accumulator input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
Updating unit, for using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as target Function is iterated population by differential evolution algorithm update and variation selection, while with target function value after variation selection Minimum individual is new global optimum's individual, n dimension in global optimum's individual during with iteration to maximum update times Set-point of the rotating speed as the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, by can The set-point of the rotating speed of Frequency transformer controls variable frequency transformer.
Preferably, it further includes:
Solar units, for obtaining the prediction intensity of illumination at n moment in following preset time period, according to prediction illumination Solar power generation power in n moment micro-capacitance sensor of Strength co-mputation.
Preferably, updating unit specifically includes:
Difference subelement, for using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as mesh Scalar functions, by differential evolution algorithm to population into row variation and crossover operation;
Individual each in population for being updated iteration to population, is intersected behaviour by comparing subunit with corresponding respectively Individual after work is compared, selection target functional value it is smaller individual be used as follow-on individual, while with variation select after The individual of target function value minimum is new global optimum's individual;
To stator unit, the rotating speed at n moment is made in global optimum's individual during for iteration to maximum update times For the set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, pass through variable frequency The set-point of the rotating speed of transformer controls variable frequency transformer.
Preferably, updating unit further includes:
Transfinite subelement, for judging whether the rotating speed of each dimension in the individual obtained after crossover operation is more than preset Rotating speed restriction range, if so, preset for any one more than the rotating speed random replacement of preset rotating speed restriction range is turned Rotating speed in fast restriction range.
Preferably, preset rotating speed restriction range is the voltage restriction range by preset variable-frequency variable-voltage ac bus And/or the rotating speed restriction range that preset users'comfort restriction range is calculated.
As can be seen from the above technical solutions, the present invention has the following advantages:
The present invention provides a kind of micro-capacitance sensor energy control method, including:S1:The population of preset individual amount is built, is planted N individual dimension is expressed as in following preset time period variable frequency transformer in the micro-capacitance sensor at n moment in group Rotating speed, and initialization operation is carried out to individual each in population in preset rotating speed restriction range, n is positive integer;S2:Simultaneous The input power constraints equal with consumption power and pressure-adjustable load consuming power and variable frequency transformer in micro-capacitance sensor Rotating speed relational expression obtain accumulator input power and variable frequency transformer rotating speed relational expression, and accumulator is inputted The relational expression of the rotating speed of power and variable frequency transformer deforms to obtain each moment accumulator capacity and variable frequency transformer Rotating speed relational expression, wherein, input power include mains input power, solar power generation power and accumulator input power, It consumes power and includes constant pressure load consuming power and pressure-adjustable load consuming power;S3:With the accumulator capacity at each moment with The quadratic sum of the difference of preset battery capacity is object function, and update and variation are iterated to population by differential evolution algorithm Selection, at the same after select using variation target function value minimum individual it is individual as new global optimum, with iteration to maximum update It is variable in micro-capacitance sensor of the rotating speed of n dimension as the n moment in following preset time period in global optimum's individual during number The set-point of the rotating speed of frequency transformer carries out variable frequency transformer by the set-point of the rotating speed of variable frequency transformer Control.
Micro-capacitance sensor energy control method provided by the invention is compared with traditional micro-capacitance sensor adjusting method, with each moment The quadratic sum of accumulator capacity and the difference of preset battery capacity is object function, passes through differential evolution algorithm calculating target function The rotating speed of future time instance variable frequency transformer when minimum, so as to adjust pressure-adjustable load consuming power so that accumulator capacity Preset battery capacity or so is remained at, the utilization rate of accumulator is allowed to reduce, reduces accumulator loss, solves and allow containing too The technical issues of micro-capacitance sensor that sun can generate electricity rationally utilizes solar energy and reduces the use of accumulator.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also To obtain other attached drawings according to these attached drawings.
Fig. 1 is that a kind of flow of one embodiment of micro-capacitance sensor energy control method provided in an embodiment of the present invention is illustrated Figure;
Fig. 2 is that a kind of flow of one embodiment of micro-capacitance sensor energy control method provided in an embodiment of the present invention is illustrated Figure;
Fig. 3 is a kind of structural representation of one embodiment of micro-capacitance sensor energy control device provided in an embodiment of the present invention Figure;
Fig. 4 is a kind of micro-capacitance sensor structure diagram provided in an embodiment of the present invention;
Wherein, the reference numeral in Fig. 4 is as follows:
1st, pressure-adjustable frequency modulation AC load;2nd, constant voltage constant frequency AC load;3rd, constant voltage constant frequency ac bus;4th, downconverter Device;5th, alternating current access point;6th, Three-Phase PWM Rectifier;7th, communication bus;8th, control device;9th, variable frequency transformer;10th, it is double Generating aid;11st, direct current generator;12nd, DC motor driver;13rd, variable voltage variable frequency ac bus;14th, three-phase diode rectifier; 15th, transformation dc bus;16th, pressure-adjustable DC load;17th, the first electric capacity of voltage regulation;18th, the first DC/DC converters;19th, second DC/DC converters;20th, solar energy module;21st, accumulator;22nd, the second electric capacity of voltage regulation;23rd, constant voltage DC busbar;24th, constant pressure is straight Current load.
Specific embodiment
An embodiment of the present invention provides a kind of micro-capacitance sensor energy control method and devices, solve and allow containing solar power generation Micro-capacitance sensor rationally using solar energy and reduce accumulator use the technical issues of.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention Attached drawing in embodiment is clearly and completely described the technical solution in the embodiment of the present invention, it is clear that disclosed below Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention Range.
Referring to Fig. 1, an embodiment of the present invention provides a kind of one embodiment of micro-capacitance sensor energy control method, including;
Step 101:Build the population of preset individual amount, n individual dimension is expressed as following preset in population In period in the micro-capacitance sensor at n moment variable frequency transformer rotating speed, and to population in preset rotating speed restriction range Interior each individual carries out initialization operation, and n is positive integer;
It should be noted that pass through future time instance variable frequency transformer during differential evolution algorithm calculating target function minimum Rotating speed need first to build the population of preset individual amount, population scale is determined as needed;
Each individual has n dimension, is expressed as in following preset time period variable ratio frequency changer in the micro-capacitance sensor at n moment The rotating speed of rate transformer, G are represented by x (k, G)=[ω (1, k, G), ω (2, k, G) ..., ω for k-th of individual of population (n, k, G)], ω (i, k, G) is i-th of moment, and G is for the rotating speed of the variable frequency transformer of k-th of individual of population.
Step 102:The input power constraints equal with consumption power and pressure-adjustable load consumption in simultaneous micro-capacitance sensor The relational expression of power and the rotating speed of variable frequency transformer obtains the rotating speed of accumulator input power and variable frequency transformer Relational expression, and the relational expression of accumulator input power and the rotating speed of variable frequency transformer deformed to obtain each moment accumulator The relational expression of capacity and the rotating speed of variable frequency transformer, wherein, input power includes mains input power, solar power generation work( Rate and accumulator input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
It should be noted that input power includes mains input power, solar power generation power and accumulator in micro-capacitance sensor Input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
Input power and mains input power and solar power generation work(in the equal constraints of consumption power in micro-capacitance sensor Rate is constant, and constant pressure load consuming power is also constant, so the input power constraint item equal with consumption power in micro-capacitance sensor It is variable there was only accumulator input power and pressure-adjustable load consuming power in part;
Since pressure-adjustable load consuming power is related with the voltage of variable voltage variable frequency ac bus and transformation dc bus, transformation The voltage of frequency-changing AC busbar and transformation dc bus is related with the rotating speed of variable frequency transformer, therefore, in simultaneous micro-capacitance sensor The input power constraints equal with consumption power and pressure-adjustable load consuming power and the rotating speed of variable frequency transformer Relational expression obtains the relational expression of the rotating speed of accumulator input power and variable frequency transformer;
And the time difference at i+1 moment and the i-th moment is △ t, i+1 moment accumulator capacity is the i-th moment accumulator Capacity subtracts the product of the i-th moment accumulator input power and △ t, and i is the positive integer less than n, therefore, can be inputted accumulator The relational expression of the rotating speed of power and variable frequency transformer deforms to obtain each moment accumulator capacity and variable frequency transformer Rotating speed relational expression.
Step 103:Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, Update and variation selection are iterated to population by differential evolution algorithm, while with target function value minimum after variation selection Individual is new global optimum's individual, the rotating speed work of n dimension in global optimum's individual during with iteration to maximum update times For the set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, pass through variable frequency The set-point of the rotating speed of transformer controls variable frequency transformer.
It should be noted that in the relational expression of the rotating speed of accumulator capacity and variable frequency transformer the capacity of accumulator with The rotating speed of variable frequency transformer is related, therefore, when it is desirable that using accumulator less as possible, you can be considered as and wish accumulator capacity Preset battery capacity is maintained as possible;
Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, pass through difference Evolution algorithm is iterated population update, using the individual of target function value minimum as the global optimum in the generation in every generation Body, during iteration to maximum update times, global optimum's individual at this time is the rotating speed of variable frequency transformer at following n The optimal solution at quarter;
The rotating speed of n dimension is as following preset time period in global optimum's individual during using iteration to maximum update times The set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at interior n moment passes through giving for the rotating speed of variable frequency transformer Definite value controls variable frequency transformer, then can realize that adjusting solar energy with the rotation speed change of variable frequency transformer enters Fluctuation caused by net so that the usage degree of accumulator reduces, and improves the service life of accumulator, solves and allow containing solar energy The technical issues of micro-capacitance sensor of power generation rationally utilizes solar energy and reduces the use of accumulator.
It is above a kind of one embodiment of micro-capacitance sensor energy control method provided in an embodiment of the present invention, is below this hair A kind of another embodiment for micro-capacitance sensor energy control method that bright embodiment provides.
Fig. 2 and Fig. 4 are please referred to, an embodiment of the present invention provides a kind of another implementations of micro-capacitance sensor energy control method Example, including;
Step 201:Build the population of preset individual amount, n individual dimension is expressed as following preset in population In period in the micro-capacitance sensor at n moment variable frequency transformer 9 rotating speed, and to population in preset rotating speed restriction range Interior each individual carries out initialization operation, and n is positive integer;
It should be noted that pass through future time instance variable frequency transformer during differential evolution algorithm calculating target function minimum 9 rotating speed needs first to build the population of preset individual amount, and population scale is determined as needed;
Each individual has n dimension, is expressed as in following preset time period variable ratio frequency changer in the micro-capacitance sensor at n moment The rotating speed of rate transformer 9, G for k-th of population individual be represented by x (k, G)=[ω (1, k, G), ω (2, k, G) ..., ω (n, k, G)], ω (i, k, G) is i-th of moment, and G is for the rotating speed of the variable frequency transformer 9 of k-th of individual of population, i =1,2 ..., n;
It is needed during beginning in preset rotating speed restriction range ωL≤ω(i)≤ωUInterior each individual to population carries out just Beginningization operates, and initialization procedure is as follows:
ω (i, k, 0)=rand [0,1] (ωUL)+ωL (1)
Wherein, ωUFor the maximum (top) speed in preset rotating speed restriction range, ωLFor in preset rotating speed restriction range most Small rotating speed.
Step 202:The prediction intensity of illumination at n moment in following preset time period is obtained, according to prediction intensity of illumination meter Calculate solar power generation power in n moment micro-capacitance sensor;
It should be noted that the prediction intensity of illumination at n moment can pass through weather history number in following preset time period According to prediction is fitted, can also prediction intensity of illumination directly be directly acquired by meteorological observatory or other channels;
Obtaining can be according to n in following preset time period after the prediction intensity of illumination at n moment in following preset time period The prediction intensity of illumination at a moment calculates solar power generation power in n moment micro-capacitance sensor;
Be to the control method of solar energy module 20 to the tracing control of the maximum power point of solar energy module 20, it can be achieved that The maximum power output of solar energy module 20, specific control method are:By adjust the compensation electric current on solar energy module 20 to Definite value disturbs to apply, and detects the output power variation for the solar energy module 20 being attached thereto, if solar energy module after disturbance 20 output powers increase, then illustrate that the disturbance can improve the output power of solar energy module 20, continue next time toward phase Tongfang The set-point for compensating electric current is exported to adjusting;Conversely, the output power for applying solar energy module 20 after disturbance becomes smaller, then explanation should Disturbance is unfavorable for improving the output power of solar energy module 20, the set-point of output compensation electric current is adjusted toward opposite direction next time.
Step 203:The input power constraints equal with consumption power and pressure-adjustable load consumption in simultaneous micro-capacitance sensor The relational expression of power and the rotating speed of variable frequency transformer 9 obtains the rotating speed of accumulator input power and variable frequency transformer 9 Relational expression, and the relational expression of accumulator input power and the rotating speed of variable frequency transformer 9 is deformed to obtain each moment and is stored Battery capacity and the relational expression of the rotating speed of variable frequency transformer 9, wherein, input power includes mains input power, solar energy Generated output and accumulator input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
It should be noted that any moment, it is necessary to assure the power-balance of micro-capacitance sensor (such as cell) energy resource system, i.e. cell The power of energy input is equal with the power of consumption, and the input power constraints equal with consumption power is in micro-capacitance sensor:
Ps(i)+PPV(i)+PG(i)=PT(i)+PC(i) (2)
Wherein, PPV(i) it is the i-th moment solar power generation power, PG(i) it is the i-th moment mains input power, PS(i) it is I-th moment accumulator input power, PT(i) it is the i-th moment pressure-adjustable load consuming power, PC(i) it is loaded for the i-th moment constant pressure Consume power;
Constraints (2) can be deformed into:
Ps(i)=PT(i)+PC(i)-PPV(i)-PG(i) (3)
I-th moment mains input power is:
PG(i, k, G)=UG(i)*IG(i) (4)
Wherein, PGThe mains input power of (i, k, G) for k-th of individual i-th moment of G generations, UG(i) it is the i-th moment alternating current Voltage, IG(i) it is the i-th moment mains current, since the voltage and current of middle pressure common frequency power network (alternating current) will not change, so city Electric input power is definite value;
Solar power generation power is calculated by the intensity of illumination of prediction and definite value;
I-th moment constant pressure load consuming power is:
PC(i, k, G)=UCVCF(i)*ICVCF(i)+UCVDC(i)*ICVDC(i) (5)
PCThe constant pressure load consuming power of (i, k, G) for k-th of individual i-th moment of G generations, UCVCF(i) it is permanent for the i-th moment Press the voltage of constant frequency AC load 2, ICVCF(i) it is the electric current of the i-th moment constant voltage constant frequency AC load 2, UCVDC(i) it was the i-th moment The voltage of constant voltage DC load 24, ICVDC(i) electric current for the i-th moment constant voltage DC load 24, because of the voltage of constant pressure load It is constant with electric current, so constant pressure load consuming power is also definite value;
I-th moment pressure-adjustable load consuming power is:
Or:
PT(i, k, G)=UVAC(i)*IVAC(i)+UVDC(i)*IVDC(i) (7)
PTThe pressure-adjustable load consuming power of (i, k, G) for k-th of individual i-th moment of G generations, UVAC(i) it was the i-th moment The voltage of pressure-adjustable frequency modulation AC load 1, IVAC(i) it is the electric current of the i-th moment pressure-adjustable frequency modulation AC load 1, R1For pressure-adjustable The impedance value of frequency modulation AC load 1, UVDC(i) it is the voltage of the i-th moment pressure-adjustable DC load 16, IVDCIt (i) can for the i-th moment The electric current of voltage regulation DC load 16, R2Impedance value for pressure-adjustable DC load 16;
So input power and only accumulator input power and can in the equal constraints of consumption power in micro-capacitance sensor Pressure regulation load consuming power is variable;
Since pressure-adjustable load consuming power is related with the voltage of variable voltage variable frequency ac bus 13 and transformation dc bus 15, With certain functional relation:
[UVAC(i),IVAC(i)]=f1(ω(i,k)) (8)
[UVDC(i),IVDC(i)]=f2(ω(i,k)) (9)
The voltage of variable voltage variable frequency ac bus 13 and transformation dc bus 15 is related with the rotating speed of variable frequency transformer 9, Therefore, the input power constraints equal with consumption power and pressure-adjustable load consuming power and variable ratio frequency changer in simultaneous micro-capacitance sensor The relational expression of the rotating speed of rate transformer 9 obtains the relational expression of the rotating speed of accumulator input power and variable frequency transformer 9;
And the time difference at i+1 moment and the i-th moment is △ t, i+1 moment accumulator capacity is the i-th moment accumulator Capacity subtracts the product of the i-th moment accumulator input power and △ t, and i is the positive integer less than n, and expression formula is:
Es(i+1, k, G)=Es(i,k,G)+PS(i)*Δt (10)
Es(i+1, k, G)=Es(i,k,G)+(PT(i)+PC(i,k,G)-PPV(i)-PG(i))*Δt (11)
Wherein, Es(i+1, k, G) be i+1 moment accumulator capacity, Es(i, k, G) is the i-th moment accumulator capacity;
Therefore, when the relational expression of accumulator input power and the rotating speed of variable frequency transformer 9 can be deformed to obtain each Carve accumulator capacity and the relational expression of the rotating speed of variable frequency transformer 9.
Step 204:Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, By differential evolution algorithm to population into row variation and crossover operation;
It should be noted that preset battery capacity could be provided as the 50% of 21 total capacity of accumulator;
Then object function is represented by:
EsnFor accumulator total capacity, Es(i) accumulator capacity for i-th of moment;
After considering penalty, formula (12) is represented by:
λ1For the weight coefficient of penalty, PENf(i, k, G) be penalty, PENfThe calculation formula of (i, k, G) is:
PENf(i, k, G)=(R-1)2 (14)
Wherein, R is the real-time power factor of current time micro-capacitance sensor;
Current unprocessed population is referred to as object vector, and for each object vector individual, three are selected from current G generations Mutually different individual carries out mutation operation according to the following formula, generates variation individual v (k, G+1):
V (k, G+1)=x (r1,G)+F(x(r2,G)-x(r3,G)) (15)
Wherein, r1≠r2≠r3, r1、r2And r3∈ { 1,2 ..., NP }, NP are preset individual amount, and F is preset normal for first Number;
Experiment vector u (k, G+1) is generated by crossover operation later, crossover operation is to progress, i.e., to list to population Individual changes the value of this individual by crossover operation, as follows:
U (k, G+1)=[u (1, k, G+1), u (2, k, G+1) ..., u (j, k, G+1)], j=1,2 ... n (16)
Wherein, CR is the second preset constant, and rnb (i) is a randomly selected integer in [1, n].
Step 205:Whether more than preset rotating speed about to judge the rotating speed of each dimension in the individual obtained after crossover operation Beam range, if so, the rotating speed preset for any one more than the rotating speed random replacement of preset rotating speed restriction range is constrained In the range of rotating speed;
It should be noted that in the interim population that variation and crossover operation operation generate, if in G k-th of individual of generation Variable, which has, does not meet edge-restraint condition, can be used in the vector randomly generated in feasible zone and replace, finally obtain interim population, Situation is as follows, works as presence:
ωL> ω (i, k, G) or ω (i, k, G) > ωU (18)
Then have:
ω (i, k, G)=rand [0,1] (ωUL)+ωL (19)
Step 206:Iteration is updated to population, by population it is each individual respectively with after corresponding crossover operation Body is compared, and the smaller individual of selection target functional value is used as follow-on individual, while with object function after variation selection The minimum individual of value is new global optimum's individual;
It should be noted that according to greedy criterion by target in the interim population obtained after crossover operation and current population to The object function of amount x (k, G) is compared, and the small individual of target function value will be retained in next-generation population, obtain G+1 generations Population.
Step 207:The rotating speed at n moment is pre- as future in global optimum's individual during using iteration to maximum update times The set-point of the rotating speed of variable frequency transformer 9 in the micro-capacitance sensor at n moment in the period is put, passes through variable frequency transformer 9 The set-point of rotating speed variable frequency transformer 9 is controlled.
It should be noted that during iteration to maximum update times, global optimum's individual at this time is considered optimal solution, will be complete The rotating speed at n moment is as variable frequency transformer 9 in the micro-capacitance sensor at n moment in following preset time period in office's optimum individual Rotating speed set-point;
21 charge-discharge electric power control method of accumulator is when adjusting 20 maximum power output of solar energy module and loads When consuming changed power, interference will certainly be generated to the voltage of constant voltage DC busbar 23, so accumulator 21 is needed to maintain constant pressure Voltage on dc bus 23, specific control method are:The DC-DC converter output voltage being connected with constant voltage DC busbar 23 The deviation of set-point and measured value through pi regulator, generates the duty ratio of DC-DC converter, then passes through PWM modulation realization pair The control of DC-DC converter is, it can be achieved that the voltage constant of constant voltage DC busbar 23, the set-point of above-mentioned output voltage, i.e. constant pressure Voltage on dc bus 23, so the voltage of constant voltage DC busbar 23 remains unchanged;
The control targe of Three-Phase PWM Rectifier 6 is that maintain cell energy resource system and 5 reactive power of alternating current access point be zero, Active power timesharing is constant, and active power value is given by higher level's power grid, and specific control method is:6 basis of Three-Phase PWM Rectifier The deviation of higher level's network re-active power set-point and measured value through pi regulator, generates d axis control voltage, adjusts active power Work(power output.Three-Phase PWM Rectifier 6, through pi regulator, generates q axis controls according to reactive power set-point and measured value deviation Voltage processed adjusts the output of reactive power, and the set-point of reactive power is 0;
When consuming power with it is expected that input power differs under cell energy resource system current working status, in order to maintain work( Rate balances, and is mainly balanced by adjusting pressure-adjustable load voltage, that is, adjusts 9 rotating speed of variable frequency transformer, variable frequency Transformer 9 includes:Double feedback electric engine 10, direct current generator 11 and DC motor driver 12,9 rotating speed controlling party of variable frequency transformer Method is:The set-point of rotating speed and the deviation of measured value obtain the set-point of 11 driving current of direct current generator after pi regulator, 11 given value of current value of direct current generator and the deviation of measured value, again through the whole modulation of PWM, obtain numerical value to direct current after pi regulator Motor driver 11, so turn by adjusting variable frequency transformer 9 in the micro-capacitance sensor at n moment in following preset time period Pressure-adjustable load consuming power can be adjusted in the set-point of speed, avoid the use of accumulator 21.
Further, preset rotating speed restriction range is to constrain model by the voltage of preset variable voltage variable frequency ac bus 13 It encloses and/or rotating speed restriction range that preset users'comfort restriction range is calculated.
It should be noted that preset rotating speed restriction range can directly use representative value, it can also pass through preset transformation The voltage restriction range of frequency-changing AC busbar 13 and/or preset users'comfort restriction range are calculated;
The voltage restriction range of preset variable voltage variable frequency ac bus 13 and preset users'comfort restriction range can be with It is expressed as:
Umin< UVAC< Umax (20)
cmin≤c(i)≤cmax (21)
Wherein, UVACFor the voltage of the i-th moment variable voltage variable frequency ac bus 13, UminFor variable voltage variable frequency ac bus 13 most Small voltage, UmaxFor the maximum voltage of variable voltage variable frequency ac bus 13, users'comforts of the c (i) for the i-th moment, cminFor user The maximum value of comfort level, cmaxThe minimum value of users'comfort;
Because the voltage of variable voltage variable frequency ac bus 13 change related, preset to the rotating speed of variable frequency transformer 9 The voltage restriction range of buckling frequency ac bus 13 can be deformed into the rotating speed restriction range of variable frequency transformer 9;
At any one time, although the variation of pressure-adjustable load voltage does not influence to load normal use, can influence user makes Comfort level such as reduces the voltage of electric heater, although not interfering with the normal use of water heater, heats the water to 100 DEG C of time must be elongated, so the comfortable angle value of user also has certain limitation, because users'comfort is born with pressure-adjustable Load voltage is related, and pressure-adjustable load voltage is related with the rotating speed of variable frequency transformer 9, so users'comfort restriction range can To be deformed into the rotating speed restriction range of variable frequency transformer 9.
The rotating speed of n dimension will be as future in global optimum's individual when in the present embodiment using iteration to maximum update times In preset time period in the micro-capacitance sensor at n moment the rotating speed of variable frequency transformer 9 set-point, pass through variable frequency transformer The set-point of 9 rotating speed controls variable frequency transformer 9, micro-capacitance sensor energy control device 8 and variable frequency transformer 9 Wait devices that can carry out information exchange by communication bus 7;
Because the set-point of the rotating speed of variable frequency transformer 9 can adjust the rotating speed of variable frequency transformer 9, so as to adjust The voltage of transformation busbar is saved, the consumption power of pressure-adjustable load is adjusted, is adjusted by the changed power that pressure-adjustable loads Fluctuation caused by solar energy networks so that the usage degree of accumulator 21 reduces, and improves the service life of accumulator 21, solves The technical issues of allowing the micro-capacitance sensor containing solar power generation rationally using solar energy and reducing the use of accumulator 21.
It is above a kind of another embodiment of micro-capacitance sensor energy control method provided in an embodiment of the present invention, is below this A kind of one embodiment for micro-capacitance sensor energy control device that inventive embodiments provide.
Referring to Fig. 3, an embodiment of the present invention provides a kind of one embodiment of micro-capacitance sensor energy control device, including:
Initialization unit 301, for building the population of preset individual amount, n individual dimension represents respectively in population Model is constrained for the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, and in preset rotating speed Enclose it is interior in population it is each individual carry out initialization operation, n is positive integer;
Mathematical units 303, for the constraints equal with consumption power of input power in simultaneous micro-capacitance sensor and pressure-adjustable The relational expression of load consuming power and the rotating speed of variable frequency transformer obtains accumulator input power and variable frequency transformer Rotating speed relational expression, and when the relational expression of accumulator input power and the rotating speed of variable frequency transformer is deformed to obtain each Accumulator capacity and the relational expression of the rotating speed of variable frequency transformer are carved, wherein, input power includes mains input power, the sun Energy generated output and accumulator input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
Updating unit 304, for using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as Object function is iterated population by differential evolution algorithm update and variation selection, while with target letter after variation selection The individual of numerical value minimum is new global optimum's individual, is tieed up for n in global optimum's individual during with iteration to maximum update times Set-point of the rotating speed of degree as the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, leads to The set-point for crossing the rotating speed of variable frequency transformer controls variable frequency transformer.
Further, it further includes:
Solar units 302, for obtaining the prediction intensity of illumination at n moment in following preset time period, according to prediction Intensity of illumination calculates solar power generation power in n moment micro-capacitance sensor.
Further, updating unit specifically includes:
Difference subelement 3041, for the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity For object function, by differential evolution algorithm to population into row variation and crossover operation;
Comparing subunit 3043, for being updated iteration to population, by population it is each individual respectively with corresponding friendship Individual after fork operation is compared, and the smaller individual of selection target functional value is used as follow-on individual, while with the choosing that makes a variation The individual for selecting rear target function value minimum is new global optimum's individual;
To stator unit 3044, n moment turns in global optimum's individual during for iteration to maximum update times Set-point of the speed as the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, by variable The set-point of the rotating speed of frequency transformer controls variable frequency transformer.
Further, updating unit further includes:
Transfinite subelement 3042, for judging whether the rotating speed of each dimension in the individual obtained after crossover operation is more than pre- The rotating speed restriction range put, if so, by preset for any one more than the rotating speed random replacement of preset rotating speed restriction range Rotating speed restriction range in rotating speed.
Further, preset rotating speed restriction range is the voltage restriction range by preset variable-frequency variable-voltage ac bus And/or the rotating speed restriction range that preset users'comfort restriction range is calculated.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit can refer to the corresponding process in preceding method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of division of logic function can have other dividing mode, such as multiple units or component in actual implementation It may be combined or can be integrated into another system or some features can be ignored or does not perform.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit The component shown may or may not be physical unit, you can be located at a place or can also be distributed to multiple In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme 's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also That each unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is independent product sale or uses When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme of the present invention is substantially The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products It embodies, which is stored in a storage medium, is used including some instructions so that a computer Equipment (can be personal computer, server or the network equipment etc.) performs the complete of each embodiment the method for the present invention Portion or part steps.And aforementioned storage medium includes:USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before Embodiment is stated the present invention is described in detail, it will be understood by those of ordinary skill in the art that:It still can be to preceding The technical solution recorded in each embodiment is stated to modify or carry out equivalent replacement to which part technical characteristic;And these Modification is replaced, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.

Claims (10)

1. a kind of micro-capacitance sensor energy control method, which is characterized in that including:
S1:Build the population of preset individual amount, n individual dimension is expressed as n in following preset time period in population The rotating speed of variable frequency transformer in the micro-capacitance sensor at a moment, and to individual each in population in preset rotating speed restriction range Initialization operation is carried out, n is positive integer;
S2:In simultaneous micro-capacitance sensor input power and the equal constraints of consumption power and pressure-adjustable load consuming power with it is variable The relational expression of the rotating speed of frequency transformer obtains the relational expression of the rotating speed of accumulator input power and variable frequency transformer, and will The relational expression of the rotating speed of accumulator input power and variable frequency transformer deform to obtain each moment accumulator capacity with it is variable The relational expression of the rotating speed of frequency transformer, wherein, input power includes mains input power, solar power generation power and accumulator Input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
S3:Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, pass through difference Evolution algorithm is iterated population update and variation selection, while the individual of target function value minimum is new after being selected using variation Global optimum's individual, in global optimum's individual during using iteration to maximum update times the rotating speed of n dimension as future in advance The set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in the period is put, passes through variable frequency transformer The set-point of rotating speed controls variable frequency transformer.
2. a kind of micro-capacitance sensor energy control method according to claim 1, which is characterized in that after step S1, step S2 It further includes before:
S0:The prediction intensity of illumination at n moment in following preset time period is obtained, n moment is calculated according to prediction intensity of illumination Solar power generation power in micro-capacitance sensor.
3. a kind of micro-capacitance sensor energy control method according to claim 1, which is characterized in that step S3 is specifically included:
S31:Using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as object function, pass through difference Evolution algorithm is to population into row variation and crossover operation;
S32:Iteration is updated to population, individual each in population is compared respectively with the individual after corresponding crossover operation Compared with the smaller individual of selection target functional value is used as follow-on individual, while with target function value minimum after variation selection Individual is new global optimum's individual;
S33:The rotating speed at n moment is as following preset time period in global optimum's individual during using iteration to maximum update times The set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at interior n moment passes through giving for the rotating speed of variable frequency transformer Definite value controls variable frequency transformer.
4. a kind of micro-capacitance sensor energy control method according to claim 3, which is characterized in that after step S31, step It is further included before S32:
S30:Whether the rotating speed for judging each dimension in the individual obtained after crossover operation is more than preset rotating speed restriction range, if It will be then turn in any one preset rotating speed restriction range more than the rotating speed random replacement of preset rotating speed restriction range to be Speed.
A kind of 5. micro-capacitance sensor energy control method according to claim 1, which is characterized in that preset rotating speed restriction range It is calculated for the voltage restriction range by preset variable-frequency variable-voltage ac bus and/or preset users'comfort restriction range The rotating speed restriction range arrived.
6. a kind of micro-capacitance sensor energy control device, which is characterized in that including:
Initialization unit, for building the population of preset individual amount, n individual dimension is expressed as following pre- in population The rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in the period is put, and to kind in preset rotating speed restriction range Each individual carries out initialization operation in group, and n is positive integer;
Mathematical units, for the constraints equal with consumption power of input power in simultaneous micro-capacitance sensor and pressure-adjustable load consumption The relational expression of power and the rotating speed of variable frequency transformer obtains the rotating speed of accumulator input power and variable frequency transformer Relational expression, and the relational expression of accumulator input power and the rotating speed of variable frequency transformer deformed to obtain each moment accumulator The relational expression of capacity and the rotating speed of variable frequency transformer, wherein, input power includes mains input power, solar power generation work( Rate and accumulator input power, consumption power include constant pressure load consuming power and pressure-adjustable load consuming power;
Updating unit, for using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as target letter Number is iterated population by differential evolution algorithm update and variation selection, while with target function value after variation selection most Small individual is new global optimum's individual, turn of n dimension in global optimum's individual during with iteration to maximum update times Set-point of the speed as the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in following preset time period, by variable The set-point of the rotating speed of frequency transformer controls variable frequency transformer.
7. a kind of micro-capacitance sensor energy control device according to claim 6, which is characterized in that further include:
Solar units, for obtaining the prediction intensity of illumination at n moment in following preset time period, according to prediction intensity of illumination Calculate solar power generation power in n moment micro-capacitance sensor.
8. a kind of micro-capacitance sensor energy control device according to claim 6, which is characterized in that updating unit specifically includes:
Difference subelement, for using the quadratic sum of the accumulator capacity at each moment and the difference of preset battery capacity as target letter Number, by differential evolution algorithm to population into row variation and crossover operation;
Comparing subunit, for being updated iteration to population, by population it is each individual respectively with after corresponding crossover operation Individual be compared, selection target functional value it is smaller individual be used as follow-on individual, while with variation select after target The individual of functional value minimum is new global optimum's individual;
To stator unit, the rotating speed at n moment is not as in global optimum's individual during for using iteration to maximum update times Carry out the set-point of the rotating speed of variable frequency transformer in the micro-capacitance sensor at n moment in preset time period, pass through variable frequency transformation The set-point of the rotating speed of device controls variable frequency transformer.
9. a kind of micro-capacitance sensor energy control device according to claim 8, which is characterized in that updating unit further includes:
Transfinite subelement, for judging whether the rotating speed of each dimension in the individual obtained after crossover operation is more than preset rotating speed Restriction range, if so, by more than the rotating speed random replacement of preset rotating speed restriction range for any one preset rotating speed about Rotating speed in the range of beam.
A kind of 10. micro-capacitance sensor energy control device according to claim 6, which is characterized in that preset rotating speed constraint model It encloses for the voltage restriction range by preset variable-frequency variable-voltage ac bus and/or the calculating of preset users'comfort restriction range Obtained rotating speed restriction range.
CN201810176117.3A 2018-03-02 2018-03-02 Micro-grid energy control method and device Expired - Fee Related CN108233426B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810176117.3A CN108233426B (en) 2018-03-02 2018-03-02 Micro-grid energy control method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810176117.3A CN108233426B (en) 2018-03-02 2018-03-02 Micro-grid energy control method and device

Publications (2)

Publication Number Publication Date
CN108233426A true CN108233426A (en) 2018-06-29
CN108233426B CN108233426B (en) 2021-06-01

Family

ID=62662626

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810176117.3A Expired - Fee Related CN108233426B (en) 2018-03-02 2018-03-02 Micro-grid energy control method and device

Country Status (1)

Country Link
CN (1) CN108233426B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111313378A (en) * 2019-11-27 2020-06-19 西安西电电力系统有限公司 Microgrid control protection method, related method, device and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150137518A1 (en) * 2013-11-20 2015-05-21 Siemens Aktiengesellschaft Method of operating a wind park
CN104794533A (en) * 2015-04-10 2015-07-22 国家电网公司 Optimal capacity allocation method for user photovoltaic power station of power distribution network considering plug-in electric vehicles
CN105160196A (en) * 2015-09-22 2015-12-16 浙江工业大学 Dynamic mutation policy based group global optimization method
CN106786784A (en) * 2017-03-22 2017-05-31 广东工业大学 A kind of wind-powered electricity generation group of planes Poewr control method and system
CN106887847A (en) * 2017-04-28 2017-06-23 广东工业大学 A kind of micro-capacitance sensor and its operation method of the control of variable frequency transformer direct load

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150137518A1 (en) * 2013-11-20 2015-05-21 Siemens Aktiengesellschaft Method of operating a wind park
CN104794533A (en) * 2015-04-10 2015-07-22 国家电网公司 Optimal capacity allocation method for user photovoltaic power station of power distribution network considering plug-in electric vehicles
CN105160196A (en) * 2015-09-22 2015-12-16 浙江工业大学 Dynamic mutation policy based group global optimization method
CN106786784A (en) * 2017-03-22 2017-05-31 广东工业大学 A kind of wind-powered electricity generation group of planes Poewr control method and system
CN106887847A (en) * 2017-04-28 2017-06-23 广东工业大学 A kind of micro-capacitance sensor and its operation method of the control of variable frequency transformer direct load

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111313378A (en) * 2019-11-27 2020-06-19 西安西电电力系统有限公司 Microgrid control protection method, related method, device and system
CN111313378B (en) * 2019-11-27 2022-04-12 西安西电电力系统有限公司 Microgrid control protection method, related method, device and system

Also Published As

Publication number Publication date
CN108233426B (en) 2021-06-01

Similar Documents

Publication Publication Date Title
CN110247438B (en) Active power distribution network resource optimization configuration based on longicorn whisker algorithm
CN106099965B (en) Exchange the control method for coordinating of COMPLEX MIXED energy-storage system under micro-grid connection state
CN111049173B (en) Self-organizing droop control method for multi-terminal direct-current distribution network
Yang et al. A novel strategy of pareto-optimal solution searching in multi-objective particle swarm optimization (MOPSO)
CN110046780B (en) Islanding micro-grid demand response economic dispatching method and system based on time-of-use electricity price
Gao et al. Optimal model for complementary operation of a photovoltaic-wind-pumped storage system
Prasad et al. Power management in hybrid ANFIS PID based AC–DC microgrids with EHO based cost optimized droop control strategy
CN108539797A (en) A kind of secondary frequency of isolated island micro-capacitance sensor and voltage control method considering economy
CN115852434A (en) Hydrogen production control method and related device
Kumar et al. Two-layer energy management strategy for renewable power-to-gas system-based microgrids
CN108233426A (en) A kind of micro-capacitance sensor energy control method and device
Ma et al. Coordinated control of micro-grid based on distributed moving horizon control
CN104778507A (en) Intelligent building power utilization strategy acquiring method based on self-adaptive particle swarm algorithm
CN110752614B (en) Energy storage system control method and system
Gupta et al. Optimal provision for enhanced consumer satisfaction and energy savings by an intelligent household energy management system
CN108400614A (en) A kind of micro-capacitance sensor energy control method and device based on particle cluster algorithm
Shirishti et al. DG allocation using arithmetic optimization algorithm in radial and mesh distribution system
CN116865270A (en) Optimal scheduling method and system for flexible interconnection power distribution network containing embedded direct current
CN106684914B (en) A kind of self-tuning PI control method improving electric power spring pressure regulating performance
CN114519249A (en) Virtual power plant operation optimization method considering user experience and application thereof
Heo et al. Energy resource capacity optimization for zero-energy housing complex
CN113013909A (en) Energy storage capacity improvement method based on stabilizing traction
CN111082442A (en) Energy storage capacity optimal configuration method based on improved FPA
CN113852121B (en) Real-time energy management method of electro-hydrogen multi-energy complementary comprehensive energy system
Ratnakaran et al. Artificial ecosystem optimized neural network controlled unified power quality conditioner for microgrid application

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20210601

CF01 Termination of patent right due to non-payment of annual fee