CN109167372A - The colony integrated control method for frequency of wind-powered electricity generation and system based on layered distribution type Model Predictive Control - Google Patents

The colony integrated control method for frequency of wind-powered electricity generation and system based on layered distribution type Model Predictive Control Download PDF

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CN109167372A
CN109167372A CN201810922619.6A CN201810922619A CN109167372A CN 109167372 A CN109167372 A CN 109167372A CN 201810922619 A CN201810922619 A CN 201810922619A CN 109167372 A CN109167372 A CN 109167372A
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China
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frequency modulation
wind
electricity generation
powered electricity
control
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孙舶皓
汤涌
仲悟之
蓝海波
刘辉
叶林
翟丙旭
王冠楠
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State Grid Corp of China SGCC
China Agricultural University
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jibei Electric Power Co Ltd
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State Grid Corp of China SGCC
China Agricultural University
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jibei Electric Power Co Ltd
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Priority to CN201810922619.6A priority Critical patent/CN109167372A/en
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    • 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
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/386
    • 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
    • H02J3/48Controlling the sharing of the in-phase component
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses a kind of colony integrated control method for frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control, comprising: establishes the layered distribution type Model Predictive Control H-DMPC controller in the multiple space and time scales coordination colony integrated frequency control strategy of wind-powered electricity generation;Wind-powered electricity generation cluster is established to coordinate to become size frequency control framework in the multiple space and time scales of frequency modulation layer, frequency modulation frequency modulation layer and primary frequency modulation layer three times;The rolling optimization model successively refined on space scale is established in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer respectively;Feedback compensation link is established in terms of wind power prediction error correction, by the feedback compensation of operation of power networks state feedback and prediction data, realizes the operation with closed ring of collective frequency control.The present invention establishes feedback compensation link according to system real-time running state, realizes the operation with closed ring of collective frequency control strategy, the control strategy of proposition can effectively realize that wind-powered electricity generation cluster participates in system frequency modulation, and can take into account the economy and security objectives of consideration system.

Description

The colony integrated control method for frequency of wind-powered electricity generation based on layered distribution type Model Predictive Control And system
Technical field
The energy is connected to the grid frequency stabilization control technology field the present invention relates to being, and more particularly, to a kind of base In the colony integrated control method for frequency of the wind-powered electricity generation of layered distribution type Model Predictive Control and system.
Background technique
As fossil energy shortage and problem of environmental pollution become increasingly conspicuous, wind-powered electricity generation is as a kind of more mature clear of technology Permeability of the clean generation mode in power grid is continuously improved, and completes energy substitution to the old traditional fired power generating unit in part.However, Wind-powered electricity generation has fluctuation and probabilistic power output property, and the running technology of Wind turbines converters interface makes machine Tool and electric part decouple, and make wind-powered electricity generation that can not pass through built-in inertia as traditional fired power generating unit and timely respond to mains frequency change Change, mains frequency stability can be destroyed under high permeability wind-electricity integration scene.Currently, having built and having planned multiple thousand in China Ten thousand multikilowatt wind power bases, and related Grid-connection standards have been formulated to the power fluctuation limit of integrated wind plant, therefore how in wind The active power output of wind-powered electricity generation cluster is flexibly controlled within the scope of electricity prediction effective output, has it and is assisted with tradition AGC power supply Ability with frequency modulation becomes urgent problem to be solved.
Currently, having been achieved for some progress in the research that wind-powered electricity generation real power control and wind-powered electricity generation participate in frequency modulation.With China's wind The continuous improvement of electric installed capacity, the research for Wind turbines and single wind field have been unable to meet application request, it is necessary to The research that wind-powered electricity generation real power control field and wind-powered electricity generation participate in frequency modulation field is organically combined, wind-powered electricity generation cluster collaboration tradition AGC electricity is established Source carries out the control strategy of flexible frequency modulation.In recent years, Model Predictive Control (Model Predictive Control, MPC) is managed By as a kind of prediction model based in prediction time domain, feedback compensation is carried out according to actual motion state, in control time domain The control method of rolling optimization is just gradually being applied in wind-powered electricity generation real power control and frequency modulation research.
Summary of the invention
The present invention propose a kind of colony integrated control method for frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control and System, to solve the problems, such as how to control the collective frequency of wind-powered electricity generation cluster.
To solve the above-mentioned problems, according to an aspect of the invention, there is provided it is a kind of pre- based on layered distribution type model The colony integrated control method for frequency of the wind-powered electricity generation of observing and controlling, which is characterized in that the described method includes:
Establish the layered distribution type Model Predictive Control in the multiple space and time scales coordination colony integrated frequency control strategy of wind-powered electricity generation H-DMPC controller;
Wind-powered electricity generation cluster is established to coordinate to become granularity in the multiple space and time scales of frequency modulation layer, frequency modulation frequency modulation layer and primary frequency modulation layer three times Frequency control framework;
The rolling successively refined on space scale is established in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer respectively Optimized model;
Feedback compensation link is established in terms of wind power prediction error correction, is fed back and is predicted by operation of power networks state The feedback compensation of data realizes the operation with closed ring of collective frequency control.
Preferably, wherein the layered distribution type Model Predictive Control H-DMPC controller include: three times frequency modulation control device, Frequency modulation frequency modulation controller and primary frequency modulation controller,
The device of frequency modulation control three times is the controller for making wind-powered electricity generation participate in frequency modulation three times, and sphere of action is whole district's tradition AGC Power supply and wind-powered electricity generation cluster, starting time are every 15min, are optimized in 15min in the case where AGC operation is spare and wind power prediction constrains The economical operation value and power reference of traditional AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations;
The frequency modulation frequency modulation controller, to make wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, sphere of action is subregion tradition AGC Power supply and wind power plant, starting time are every 1min, carry out subregion two on the basis of the economical operation basic point that frequency modulation three times determines Secondary frequency modulation stabilizes 1min grades of load fluctuations by a relatively large margin;
The primary frequency modulation controller, to make wind-powered electricity generation participate in the controller of primary frequency modulation, sphere of action is classification wind power plant, The starting time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field that there is of short duration frequency modulation energy Power stabilizes small magnitude random load fluctuation in real time.
Preferably, wherein it is described establish wind-powered electricity generation cluster frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer it is more when Empty scale coordination becomes size frequency control framework, comprising:
It is respectively provided with prediction model, rolling optimization and feedback compensation link in each control layer, according to power grid and wind-powered electricity generation cluster Real-time running state, is fed back by operation of power networks state and prediction data correction link is established respectively to frequency modulation layer three times, secondary The feedback compensation of frequency modulation layer and primary frequency modulation layer forms closed loop frequency modulation frame structure.
Preferably, wherein described establish in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer in space scale respectively On the rolling optimization model that successively refines, comprising:
Frequency modulation control device models three times for the whole district, considers system network topology, determines rolling optimization objective function are as follows:
Wherein, T is optimization time domain, T=4, λ1、λ2、λ3For the control weight of objective function items, and λ123=1;NG For whole district's tradition AGC number of power sources, NWFor whole district's wind-powered electricity generation number, M(k) for the power generation of tradition AGC power supply α in period k at This,Wherein KfFor fuel price, a、b、cFor consumption characteristic curve Parameter, Δ PIt (k) is AGC power supply α active power output adjustment amount in period k, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M(k)=KwΔP(k), wherein Kw is wind power plant specific power adjustment cost, Δ P(k) active for wind power plant β in period k Power output adjustment amount;Z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,For the submitting of wind-powered electricity generation cluster The transmission limit of interconnection γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;When Ploss (k) is Section k whole district system losses;
The modeling of subregion frequency modulation frequency modulation controller, considers subregion ASFAM model, determines optimization object function are as follows:
Wherein, YiFor output sequence, ηiFor laguerre function control sequence, QiAnd RLiThe mistake being respectively made of weight coefficient Control diagonal matrix under difference power diagonal matrix and laguerre function;
Primary frequency modulation controller of classifying models, and the principle that 1min every to subregion wind power plant participates in primary frequency modulation process is arranged Are as follows: when uncertain small magnitude random load increases, wind power plant inner blower discharges kinetic energy by drop revolving speed, quickly increases in short-term Wind power is added to export;When uncertain small magnitude random load reduces, wind power plant inner blower is by rising revolving speed storage Kinetic energy quickly reduces wind power output in short-term.
Preferably, wherein in terms of wind power prediction error correction, pass through the wind power plant past first using following formula Actual error in preset time threshold is corrected prediction model:
Wherein,The respectively prediction model of correction front and back;H is error correction matrix;E is that 5min is missed in the past Poor matrix.
According to another aspect of the present invention, a kind of wind-powered electricity generation cluster based on layered distribution type Model Predictive Control is provided Collective frequency control system, which is characterized in that the system comprises:
Distributed model predictive control device establishes unit, coordinates the colony integrated frequency control of wind-powered electricity generation for establishing multiple space and time scales Layered distribution type Model Predictive Control H-DMPC controller in system strategy;
Control framework establishes unit, for establishing wind-powered electricity generation cluster in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer Multiple space and time scales coordinate become size frequency control framework;
Optimized model establishes unit, for establishing respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer in sky Between the rolling optimization model that successively refines on scale;
It corrects unit and passes through operation of power networks for establishing feedback compensation link in terms of wind power prediction error correction The feedback compensation of state feedback and prediction data, realizes the operation with closed ring of collective frequency control.
Preferably, wherein the distributed model predictive control device establishes the layered distribution type Model Predictive Control in unit H-DMPC controller includes: frequency modulation control device, frequency modulation frequency modulation controller and primary frequency modulation controller three times,
The device of frequency modulation control three times is the controller for making wind-powered electricity generation participate in frequency modulation three times, and sphere of action is whole district's tradition AGC Power supply and wind-powered electricity generation cluster, starting time are every 15min, are optimized in 15min in the case where AGC operation is spare and wind power prediction constrains The economical operation value and power reference of traditional AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations;
The frequency modulation frequency modulation controller, to make wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, sphere of action is subregion tradition AGC Power supply and wind power plant, starting time are every 1min, carry out subregion two on the basis of the economical operation basic point that frequency modulation three times determines Secondary frequency modulation stabilizes 1min grades of load fluctuations by a relatively large margin;
The primary frequency modulation controller, to make wind-powered electricity generation participate in the controller of primary frequency modulation, sphere of action is classification wind power plant, The starting time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field that there is of short duration frequency modulation energy Power stabilizes small magnitude random load fluctuation in real time.
Preferably, wherein the control framework establishes unit, establish wind-powered electricity generation cluster frequency modulation layer three times, frequency modulation frequency modulation layer and The multiple space and time scales of primary frequency modulation layer are coordinated to become size frequency control framework, comprising:
It is respectively provided with prediction model, rolling optimization and feedback compensation link in each control layer, according to power grid and wind-powered electricity generation cluster Real-time running state, is fed back by operation of power networks state and prediction data correction link is established respectively to frequency modulation layer three times, secondary The feedback compensation of frequency modulation layer and primary frequency modulation layer forms closed loop frequency modulation frame structure.
Preferably, wherein the Optimized model establishes unit, respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation Layer establishes the rolling optimization model successively refined on space scale, comprising:
Frequency modulation control device modeling module three times, for the whole district, frequency modulation control device is modeled three times, considers grid topology knot Structure determines rolling optimization objective function are as follows:
Wherein, T is optimization time domain, T=4, λ1、λ2、λ3For the control weight of objective function items, and λ123=1;NG For whole district's tradition AGC number of power sources, NWFor whole district's wind-powered electricity generation number, M(k) for the power generation of tradition AGC power supply α in period k at This,Wherein KfFor fuel price, a、b、cFor consumption characteristic curve Parameter, Δ PIt (k) is AGC power supply α active power output adjustment amount in period k, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M(k)=KwΔP(k), wherein Kw is wind power plant specific power adjustment cost, Δ P(k) active for wind power plant β in period k Power output adjustment amount;Z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,For the submitting of wind-powered electricity generation cluster The transmission limit of interconnection γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;When Ploss (k) is Section k whole district system losses;
Frequency modulation frequency modulation controller modeling module is modeled for subregion frequency modulation frequency modulation controller, considers subregion ASFAM model, Determine optimization object function are as follows:
Wherein, YiFor output sequence, ηiFor laguerre function control sequence, QiAnd RLiThe mistake being respectively made of weight coefficient Control diagonal matrix under difference power diagonal matrix and laguerre function;
Primary frequency modulation controller modeling module is arranged every to subregion wind power plant for primary frequency modulation controller modeling of classifying The principle of 1min participation primary frequency modulation process are as follows: when uncertain small magnitude random load increases, wind power plant inner blower is logical Drop revolving speed release kinetic energy is crossed, quicklys increase wind power output in short-term;When uncertain small magnitude random load reduces, Wind power plant inner blower quickly reduces wind power output by rising revolving speed store kinetic energy in short-term.
Preferably, wherein the correction unit passes through wind using following formula in terms of wind power prediction error correction The actual error that electric field is gone in the first preset time threshold is corrected prediction model:
Wherein,The respectively prediction model of correction front and back;H is error correction matrix;E is that 5min is missed in the past Poor matrix.
The present invention provides a kind of colony integrated control method for frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control And system, establish wind-powered electricity generation cluster in the change size frequency control framework of frequency modulation layer, frequency modulation frequency modulation layer and primary frequency modulation layer three times, In prediction time domain, control time domain and the super short-period wind power predicted value that each layer is successively refined using time scale;In each layer The rolling optimization model that space scale successively refines is established, wherein considering topological structure of electric and whole district's economy in frequency modulation layer three times Property optimal objective, consider ASFAM and partition security optimal objective in frequency modulation frequency modulation layer, consider subregion wind-powered electricity generation in primary frequency modulation layer Single game dynamic cataloging carrys out real-time stabilizing system load small value random perturbation in cluster;According to power grid and wind-powered electricity generation cluster real time execution State establishes feedback compensation link, realizes the operation with closed ring of collective frequency control strategy.Control strategy energy proposed by the invention It is enough effectively to realize that wind-powered electricity generation cluster participates in system frequency modulation, and the economy and security objectives of consideration system can be taken into account.
Detailed description of the invention
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by:
Fig. 1 is the colony integrated frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control according to embodiment of the present invention The flow chart of control method 100;
Fig. 2 is the collective frequency control framework figure according to embodiment of the present invention;
Fig. 3 is the IEEE39 bus test system figure containing 10 wind power plants provided according to embodiment of the present invention;
The position Fig. 4 emulation time domain inner region frequency shift (FS) curve that embodiment provides according to the present invention;
Fig. 5 is the colony integrated frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control according to embodiment of the present invention The structural schematic diagram of control system 500.
Specific embodiment
Exemplary embodiments of the present invention are introduced referring now to the drawings, however, the present invention can use many different shapes Formula is implemented, and is not limited to the embodiment described herein, and to provide these embodiments be at large and fully disclose The present invention, and the scope of the present invention is sufficiently conveyed to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached Icon note.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has person of ordinary skill in the field It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its The context of related fields has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is the colony integrated frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control according to embodiment of the present invention The flow chart of control method 100.As shown in Figure 1, embodiments of the present invention provide based on layered distribution type model prediction control The colony integrated control method for frequency of the wind-powered electricity generation of system establishes wind-powered electricity generation cluster in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation The change size frequency control framework of layer, the prediction time domain successively refined in each layer using time scale, control time domain and ultrashort Phase wind power prediction value;The rolling optimization model that space scale successively refines is established in each layer, wherein examining in frequency modulation layer three times Consider topological structure of electric and whole district's economy optimal objective, consider ASFAM and partition security optimal objective in frequency modulation frequency modulation layer, Consider that single game dynamic cataloging carrys out real-time stabilizing system load small value random perturbation in subregion wind-powered electricity generation cluster in primary frequency modulation layer;Root Feedback compensation link is established according to power grid and wind-powered electricity generation cluster real-time running state, realizes the operation with closed ring of collective frequency control strategy. Control strategy proposed by the invention can effectively realize that wind-powered electricity generation cluster participates in system frequency modulation, and can take into account the economy of consideration system Property and security objectives.
The colony integrated frequency control of the wind-powered electricity generation based on layered distribution type Model Predictive Control that embodiments of the present invention provide Method 100 processed establishes multiple space and time scales in step 101 and coordinates the colony integrated frequency control strategy of wind-powered electricity generation since step 101 place In layered distribution type Model Predictive Control H-DMPC controller.
Preferably, wherein the layered distribution type Model Predictive Control H-DMPC controller include: three times frequency modulation control device, Frequency modulation frequency modulation controller and primary frequency modulation controller.
The device of frequency modulation control three times is the controller for making wind-powered electricity generation participate in frequency modulation three times, and sphere of action is whole district's tradition AGC Power supply and wind-powered electricity generation cluster, starting time are every 15min, are optimized in 15min in the case where AGC operation is spare and wind power prediction constrains The economical operation value and power reference of traditional AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations.
The frequency modulation frequency modulation controller, to make wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, sphere of action is subregion tradition AGC Power supply and wind power plant, starting time are every 1min, carry out subregion two on the basis of the economical operation basic point that frequency modulation three times determines Secondary frequency modulation stabilizes 1min grades of load fluctuations by a relatively large margin.
The primary frequency modulation controller, to make wind-powered electricity generation participate in the controller of primary frequency modulation, sphere of action is classification wind power plant, The starting time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field that there is of short duration frequency modulation energy Power stabilizes small magnitude random load fluctuation in real time.
In embodiments of the present invention, H-DMPC controller is that multiple space and time scales coordinate the colony integrated frequency control of wind-powered electricity generation The core of strategy, is made of frequency modulation control device three times, frequency modulation frequency modulation controller and primary frequency modulation controller three parts.Each section Act on as follows: 1) frequency modulation control device three times: making wind-powered electricity generation participate in the controller of frequency modulation three times, and sphere of action is whole district's tradition AGC electric Source and wind-powered electricity generation cluster, starting time are every 15min, optimize in 15min in the case where AGC operation is spare and wind power prediction constrains and pass The economical operation value and power reference of system AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations, improves system fortune Row economy;2) frequency modulation frequency modulation controller: making wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, and sphere of action is subregion tradition AGC electricity Source and wind power plant, starting time are every 1min, and it is secondary to carry out subregion on the basis of the economical operation basic point that frequency modulation three times determines Frequency modulation stabilizes 1min grades of load fluctuations by a relatively large margin, improves security of system and static frequency stability, fast quick-recovery frequency Offset reduces frequency static deviation;3) primary frequency modulation controller: making wind-powered electricity generation participate in the controller of primary frequency modulation, and sphere of action is Classify wind power plant, the starting time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field with short The ability of temporary frequency modulation, stabilizes small magnitude random load fluctuation in real time, improves security of system and transient frequency stability, prevents frequency Rate mutation, so that frequency modulation frequency modulation controller be made to have enough time to adjust generated output reconstructing system power-balance.
Preferably, step 102 establish wind-powered electricity generation cluster frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer it is more when Empty scale coordination becomes size frequency control framework.
Preferably, wherein it is described establish wind-powered electricity generation cluster frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer it is more when Empty scale coordination becomes size frequency control framework, comprising:
It is respectively provided with prediction model, rolling optimization and feedback compensation link in each control layer, according to power grid and wind-powered electricity generation cluster Real-time running state, is fed back by operation of power networks state and prediction data correction link is established respectively to frequency modulation layer three times, secondary The feedback compensation of frequency modulation layer and primary frequency modulation layer forms closed loop frequency modulation frame structure.
Fig. 2 is the collective frequency control framework figure according to embodiment of the present invention.As shown in Fig. 2, in implementation of the invention In mode, the collective frequency control framework of foundation is broadly divided into three layers of MPC control architecture, respectively frequency modulation layer, secondary tune three times Frequency layer and primary frequency modulation layer, and include prediction model, rolling optimization and feedback compensation link in each control layer.Wherein, The whole district is established on the basis of considering topological structure of electric according to the wind-powered electricity generation prediction data of 15min resolution ratio in frequency modulation layer three times Economy optimal objective is prediction time domain with 2h, and 1h is control time domain, and every 15min passes through frequency modulation control device rolling optimization three times The economical operation basic point of whole district's wind-powered electricity generation cluster and tradition AGC power supply simultaneously issues, and what frequency modulation layer was mainly coped with three times is 15min grades Whole district's load fluctuation;In frequency modulation frequency modulation layer, according to the wind-powered electricity generation prediction data of 1min resolution ratio, in subregion average system frequency augmentation Partition security optimal objective is established on model (Average System Frequency Augmented Model, ASFAM), Be prediction time domain with 1h, 15min is control time domain, every 1min by each wind power plant of frequency modulation frequency modulation controller rolling optimization subregion and Dynamic security of traditional AGC power supply on the basis of the economical operation basic point that the every 15min of frequency modulation three times is issued runs basic point adjustment amount, What frequency modulation frequency modulation layer was mainly coped with is 1min grades of partition load fluctuation;Wind-powered electricity generation in primary frequency modulation layer, according to 1min resolution ratio Prediction data and wind power plant real-time running state, every 1min carry out dynamic cataloging and priority ordered to each wind power plant of subregion, lead to Cross the primary frequency modulation function that primary frequency modulation controller cooperates with traditional AGC power supply to the mode of classification wind power plant inner blower lifting/lowering revolving speed Uncertain load small value random fluctuation can be stabilized in real time.The present invention according to power grid and wind-powered electricity generation cluster real-time running state, It is fed back by operation of power networks state and prediction data correction link is established respectively to frequency modulation layer three times, frequency modulation frequency modulation layer and primary tune The feedback compensation of frequency layer forms closed loop frequency modulation frame structure.
Preferably, it is established respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer in space scale in step 103 On the rolling optimization model that successively refines.
Preferably, wherein described establish in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer in space scale respectively On the rolling optimization model that successively refines, comprising:
Frequency modulation control device models three times for the whole district, considers system network topology, determines rolling optimization objective function are as follows:
Wherein, T is optimization time domain, T=4, λ1、λ2、λ3For the control weight of objective function items, and λ123=1;NG For whole district's tradition AGC number of power sources, NWFor whole district's wind-powered electricity generation number, M(k) for the power generation of tradition AGC power supply α in period k at This,Wherein KfFor fuel price, a、b、cFor consumption characteristic curve Parameter, Δ PIt (k) is AGC power supply α active power output adjustment amount in period k, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M(k)=KwΔP(k), wherein Kw is wind power plant specific power adjustment cost, Δ P(k) active for wind power plant β in period k Power output adjustment amount;Z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,For the submitting of wind-powered electricity generation cluster The transmission limit of interconnection γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;When Ploss (k) is Section k whole district system losses;
The modeling of subregion frequency modulation frequency modulation controller, considers subregion ASFAM model, determines optimization object function are as follows:
Wherein, YiFor output sequence, ηiFor laguerre function control sequence, QiAnd RLiThe mistake being respectively made of weight coefficient Control diagonal matrix under difference power diagonal matrix and laguerre function;
Primary frequency modulation controller of classifying models, and the principle that 1min every to subregion wind power plant participates in primary frequency modulation process is arranged Are as follows: when uncertain small magnitude random load increases, wind power plant inner blower discharges kinetic energy by drop revolving speed, quickly increases in short-term Wind power is added to export;When uncertain small magnitude random load reduces, wind power plant inner blower is by rising revolving speed storage Kinetic energy quickly reduces wind power output in short-term.
In embodiments of the present invention, when frequency modulation control device models three times for the whole district, frequency modulation control device is considered three times System network topology, every 15min determine the economical operation function of whole district's tradition AGC power supply and wind-powered electricity generation cluster in future 15min Rate basic point, rolling calculation time step are 15min, and rolling optimization objective function is as follows:
In formula: T is optimization time domain, is 1h in the control time domain of frequency modulation layer three times, i.e., the control that every suboptimization calculates future 1h is made With, and this layer of rolling calculation time step Δ t is 15min, therefore T=4, with the variation of k value, the time is rolled forward with Time step Δ t The optimum results of k=1 are only applied to system after every suboptimization by dynamic passage;λ1、λ2、λ3For the control of objective function items Weight, and λ123=1;The first item of objective function is that cost of electricity-generating is minimum, NGFor whole district's tradition AGC number of power sources, NWFor whole district's wind Electric field quantity, MIt (k) is the cost of electricity-generating of tradition AGC power supply α in period k, Wherein KfFor fuel price, a、b、cFor consumption characteristic curve parameter, Δ PIt (k) is AGC power supply α active power output in period k Adjustment amount, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M(k)=KwΔP(k), wherein Kw is that wind power plant unit goes out Power adjustment cost, Δ PIt (k) is wind power plant β active power output adjustment amount in period k;The Section 2 of objective function is to use wind as far as possible Electric cluster sends out interconnection capacity, and z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,For wind Electric cluster sends out the transmission limit of interconnection γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;Mesh The Section 3 of scalar functions is that system losses are minimum, and Ploss (k) is period k whole district system losses;The Section 2 of objective function and Three consider system power network topology, are related to network Load flow calculation.
In the modeling of subregion frequency modulation frequency modulation controller, frequency modulation frequency modulation controller considers subregion ASFAM model, is adjusting three times On the basis of the economical operation basic point that the every 15min of frequency controller is issued, every 1min determines subregion tradition AGC power supply and wind power plant dynamic It is safely operated basic point adjustment amount, rolling calculation time step is 1min.With the distributed model predictive control for combining laguerre function Method, rolling optimization objective function are to predict that output variable tends in 0 and control time domain NC control in time domain NP from k time step Variable weighting inhibits:
In formula: Yi is output sequence, ηiFor laguerre function control sequence, Qi and RLi are respectively to be made of weight coefficient Error weighs control diagonal matrix under diagonal matrix and laguerre function.
When classifying the modeling of primary frequency modulation controller, 1min every to subregion wind power plant participates in the principle system of primary frequency modulation process Be set to: in the increase of uncertain small magnitude random load, wind power plant inner blower discharges kinetic energy by drop revolving speed, in short-term quickly Increase wind power output, maximum increasesMaximum increases toIt is dropped in uncertain small magnitude random load When low, wind power plant inner blower quickly reduces wind power output by rising revolving speed store kinetic energy in short-term, and maximum is reduced Maximum is reduced extremelyIt is real-time according to subregion wind power plant in order to improve the ability and control precision that wind power plant participates in primary frequency modulation Load condition and 1min resolution ratio wind-powered electricity generation prediction power, every 1min carry out dynamic cataloging to subregion wind power plant and form priority row Sequence makes grouping sheet wind field successively participate in primary frequency modulation by priority ordered according to power distribution strategies, to improve primary frequency modulation The accuracy and specific aim of layer rolling optimization.
Preferably, feedback compensation link is established in terms of wind power prediction error correction in step 104, transported by power grid The feedback compensation of row state feedback and prediction data, realizes the operation with closed ring of collective frequency control.
Preferably, wherein in terms of wind power prediction error correction, pass through the wind power plant past first using following formula Actual error in preset time threshold is corrected prediction model:
Wherein,The respectively prediction model of correction front and back;H is error correction matrix;E is that 5min is missed in the past Poor matrix.
In terms of system running state feedback, need every 1min by actual measurement system state to frequency modulation frequency modulation layer and primary frequency modulation Layer is fed back.It is counted after current Time step k is applied with current optimum control amount to system currently in frequency modulation frequency modulation layer Time step end is calculated, frequency modulation frequency modulation controller is obtained by the feedback of condition detecting device according to actual measurement system actual motion state The system separate manufacturing firms equation of next Time step k+1 carries out a subregion state feedback compensation every 1min, under Corresponding rolling optimization calculating is carried out based on the system separate manufacturing firms equation after feedback compensation in one Time step k+1, obtains k The optimum control amount of+1 time step is carried out with this circulating rolling until entire emulation time domain is traversed, to reduce because wind power is pre- It surveys error and system control error is formulated bring to control strategy and influenced, improve system and control robustness;In primary frequency modulation layer, Wind-powered electricity generation operation data is fed back to update to primary frequency modulation controller by the every 1min of system mode feedback element, it is ensured that subregion wind-powered electricity generation The correctness of field dynamic cataloging sequence, improves system and controls accuracy.
Fig. 3 is the IEEE39 bus test system figure containing 10 wind power plants provided according to embodiment of the present invention.Such as Fig. 3 Shown, 39 bus test system of IEEE including 8 conventional power sources, 10 wind power plants and 19 loads is to mentioned control strategy Carry out simulating, verifying.Each area's frequency shift (FS) curve is obtained with the above method, as shown in Figure 4.From fig. 4, it can be seen that H-DMPC Control strategy, can be according to region in terms of frequency control in the case where minute grade wind-powered electricity generation cluster power swing and load disturbance Interior ultra-short term wind-powered electricity generation prediction power rationally controls each wind power plant output, coordinates subregion wind-powered electricity generation cluster and subregion tradition AGC power supply Cooperation is common to participate in frequency modulation, by each area's frequency shift (FS) control in [- 0.08,0.08] section, meets GB/T 15945-2008 China's power system frequency offset permissible value is the regulation of ± 0.2Hz in " power quality power system frequency tolerance ".
Fig. 5 is the colony integrated frequency of the wind-powered electricity generation based on layered distribution type Model Predictive Control according to embodiment of the present invention The structural schematic diagram of control system 500.As shown in figure 5, embodiments of the present invention offer is pre- based on layered distribution type model The colony integrated frequency control system 500 of the wind-powered electricity generation of observing and controlling, comprising: distributed model predictive control device establishes unit 501, control Frame establishes unit 502, Optimized model establishes unit 503 and correction unit 504.
Preferably, the distributed model predictive control device establishes unit 501, coordinates wind-powered electricity generation for establishing multiple space and time scales Layered distribution type Model Predictive Control H-DMPC controller in colony integrated frequency control strategy.
Preferably, wherein the distributed model predictive control device establishes the layered distribution type Model Predictive Control in unit H-DMPC controller includes: frequency modulation control device, frequency modulation frequency modulation controller and primary frequency modulation controller three times.
The device of frequency modulation control three times is the controller for making wind-powered electricity generation participate in frequency modulation three times, and sphere of action is whole district's tradition AGC Power supply and wind-powered electricity generation cluster, starting time are every 15min, are optimized in 15min in the case where AGC operation is spare and wind power prediction constrains The economical operation value and power reference of traditional AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations.
The frequency modulation frequency modulation controller, to make wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, sphere of action is subregion tradition AGC Power supply and wind power plant, starting time are every 1min, carry out subregion two on the basis of the economical operation basic point that frequency modulation three times determines Secondary frequency modulation stabilizes 1min grades of load fluctuations by a relatively large margin.
The primary frequency modulation controller, to make wind-powered electricity generation participate in the controller of primary frequency modulation, sphere of action is classification wind power plant, The starting time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field that there is of short duration frequency modulation energy Power stabilizes small magnitude random load fluctuation in real time.
Preferably, the control framework establishes unit 502, for establishing wind-powered electricity generation cluster in frequency modulation layer, frequency modulation frequency modulation three times The multiple space and time scales of layer and primary frequency modulation layer are coordinated to become size frequency control framework.
Preferably, wherein the control framework establishes unit, establish wind-powered electricity generation cluster frequency modulation layer three times, frequency modulation frequency modulation layer and The multiple space and time scales of primary frequency modulation layer are coordinated to become size frequency control framework, comprising: each control layer be respectively provided with prediction model, Rolling optimization and feedback compensation link, according to power grid and wind-powered electricity generation cluster real-time running state, fed back by operation of power networks state and Prediction data correction link establishes the feedback compensation to frequency modulation layer, frequency modulation frequency modulation layer and primary frequency modulation layer three times respectively, and formation is closed Ring frequency modulation frame structure.
Preferably, the Optimized model establishes unit 503, for respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and primary Frequency modulation layer establishes the rolling optimization model successively refined on space scale.
Preferably, wherein the Optimized model establishes unit, respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation Layer establishes the rolling optimization model successively refined on space scale, comprising:
Frequency modulation control device modeling module three times, for the whole district, frequency modulation control device is modeled three times, considers grid topology knot Structure determines rolling optimization objective function are as follows:
Wherein, T is optimization time domain, T=4, λ1、λ2、λ3For the control weight of objective function items, and λ123=1;NG For whole district's tradition AGC number of power sources, NWFor whole district's wind-powered electricity generation number, M(k) for the power generation of tradition AGC power supply α in period k at This,Wherein KfFor fuel price, a、b、cFor consumption characteristic curve Parameter, Δ PIt (k) is AGC power supply α active power output adjustment amount in period k, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M(k)=KwΔP(k), wherein Kw is wind power plant specific power adjustment cost, Δ P(k) active for wind power plant β in period k Power output adjustment amount;Z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,For the submitting of wind-powered electricity generation cluster The transmission limit of interconnection γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;When Ploss (k) is Section k whole district system losses;
Frequency modulation frequency modulation controller modeling module is modeled for subregion frequency modulation frequency modulation controller, considers subregion ASFAM model, Determine optimization object function are as follows:
Wherein, YiFor output sequence, ηiFor laguerre function control sequence, QiAnd RLiThe mistake being respectively made of weight coefficient Control diagonal matrix under difference power diagonal matrix and laguerre function;
Primary frequency modulation controller modeling module is arranged every to subregion wind power plant for primary frequency modulation controller modeling of classifying The principle of 1min participation primary frequency modulation process are as follows: when uncertain small magnitude random load increases, wind power plant inner blower is logical Drop revolving speed release kinetic energy is crossed, quicklys increase wind power output in short-term;When uncertain small magnitude random load reduces, Wind power plant inner blower quickly reduces wind power output by rising revolving speed store kinetic energy in short-term.
Preferably, the correction unit 504, for establishing feedback compensation ring in terms of wind power prediction error correction Section realizes the operation with closed ring of collective frequency control by the feedback compensation of operation of power networks state feedback and prediction data.
Preferably, wherein the correction unit passes through wind using following formula in terms of wind power prediction error correction The actual error that electric field is gone in the first preset time threshold is corrected prediction model:
Wherein,The respectively prediction model of correction front and back;H is error correction matrix;E is that 5min is missed in the past Poor matrix.
The colony integrated frequency control system of wind-powered electricity generation based on layered distribution type Model Predictive Control of the embodiment of the present invention 500 with the colony integrated frequency controlling party of the wind-powered electricity generation based on layered distribution type Model Predictive Control of another embodiment of the invention Method 100 is corresponding, and details are not described herein.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as Defined by subsidiary Patent right requirement, in addition to the present invention other embodiments disclosed above equally fall in it is of the invention In range.
Normally, all terms used in the claims are all solved according to them in the common meaning of technical field It releases, unless in addition clearly being defined wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground At least one example being construed in described device, component etc., unless otherwise expressly specified.Any method disclosed herein Step need not all be run with disclosed accurate sequence, unless explicitly stated otherwise.

Claims (10)

1. a kind of colony integrated control method for frequency of wind-powered electricity generation based on layered distribution type Model Predictive Control, which is characterized in that institute The method of stating includes:
Establish the layered distribution type Model Predictive Control H- in the multiple space and time scales coordination colony integrated frequency control strategy of wind-powered electricity generation DMPC controller;
Wind-powered electricity generation cluster is established to coordinate to become size frequency in the multiple space and time scales of frequency modulation layer, frequency modulation frequency modulation layer and primary frequency modulation layer three times Control framework;
The rolling optimization successively refined on space scale is established in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer respectively Model;
Feedback compensation link is established in terms of wind power prediction error correction, is fed back by operation of power networks state and prediction data Feedback compensation, realize collective frequency control operation with closed ring.
2. the method according to claim 1, wherein the layered distribution type Model Predictive Control H-DMPC is controlled Device includes: frequency modulation control device, frequency modulation frequency modulation controller and primary frequency modulation controller three times,
The device of frequency modulation control three times is the controller for making wind-powered electricity generation participate in frequency modulation three times, and sphere of action is whole district's tradition AGC power supply With wind-powered electricity generation cluster, the starting time is every 15min, optimizes tradition in 15min in the case where AGC operation is spare and wind power prediction constrains The economical operation value and power reference of AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations;
The frequency modulation frequency modulation controller, to make wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, sphere of action is subregion tradition AGC power supply And wind power plant, starting time are every 1min, carry out the secondary tune of subregion on the basis of the economical operation basic point that frequency modulation three times determines Frequency stabilizes 1min grades of load fluctuations by a relatively large margin;
The primary frequency modulation controller, to make wind-powered electricity generation participate in the controller of primary frequency modulation, sphere of action is classification wind power plant, starting Time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field that there is of short duration frequency modulation ability, it is real When stabilize small magnitude random load fluctuation.
3. the method according to claim 1, wherein the wind-powered electricity generation cluster of establishing is in frequency modulation layer three times, secondary tune The multiple space and time scales of frequency layer and primary frequency modulation layer are coordinated to become size frequency control framework, comprising:
It is respectively provided with prediction model, rolling optimization and feedback compensation link in each control layer, it is real-time according to power grid and wind-powered electricity generation cluster Operating status, is fed back by operation of power networks state and prediction data correction link is established respectively to frequency modulation layer, frequency modulation frequency modulation three times The feedback compensation of layer and primary frequency modulation layer forms closed loop frequency modulation frame structure.
4. the method according to claim 1, wherein described respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and one Secondary frequency modulation layer establishes the rolling optimization model successively refined on space scale, comprising:
Frequency modulation control device models three times for the whole district, considers system network topology, determines rolling optimization objective function are as follows:
Wherein, T is optimization time domain, T=4, λ1、λ2、λ3For the control weight of objective function items, and λ123=1;NGIt is complete Area's tradition AGC number of power sources, NWFor whole district's wind-powered electricity generation number, MIt (k) is the cost of electricity-generating of tradition AGC power supply α in period k,Wherein KfFor fuel price, a、b、cFor consumption characteristic curve ginseng Number, Δ PIt (k) is AGC power supply α active power output adjustment amount in period k, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M (k)=KwΔP(k), wherein Kw is wind power plant specific power adjustment cost, Δ PIt (k) is wind power plant β active power output in period k Adjustment amount;Z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,It sends out and gets in touch with for wind-powered electricity generation cluster The transmission limit of line γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;Ploss (k) is period k Whole district's system losses;
The modeling of subregion frequency modulation frequency modulation controller, considers subregion ASFAM model, determines optimization object function are as follows:
Wherein, YiFor output sequence, ηiFor laguerre function control sequence, QiAnd RLiThe error power being respectively made of weight coefficient Control diagonal matrix under diagonal matrix and laguerre function;
Primary frequency modulation controller of classifying models, and the principle that 1min every to subregion wind power plant participates in primary frequency modulation process is arranged are as follows: When uncertain small magnitude random load increases, wind power plant inner blower discharges kinetic energy by drop revolving speed, quicklys increase wind in short-term Electric field power output;When uncertain small magnitude random load reduces, wind power plant inner blower, which passes through, rises revolving speed store kinetic energy, Wind power output is quickly reduced in short-term.
5. the method according to claim 1, wherein in terms of wind power prediction error correction, using as follows Formula is gone over the actual error in the first preset time threshold by wind power plant and is corrected to prediction model:
Wherein,The respectively prediction model of correction front and back;H is error correction matrix;E is past 5min error moments Battle array.
6. a kind of colony integrated frequency control system of wind-powered electricity generation based on layered distribution type Model Predictive Control, which is characterized in that institute The system of stating includes:
Distributed model predictive control device establishes unit, coordinates the colony integrated frequency control plan of wind-powered electricity generation for establishing multiple space and time scales Layered distribution type Model Predictive Control H-DMPC controller in slightly;
Control framework establishes unit, for establishing wind-powered electricity generation cluster in the more of frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer Spatial and temporal scales are coordinated to become size frequency control framework;
Optimized model establishes unit, for establishing respectively in frequency modulation layer three times, frequency modulation frequency modulation layer and primary frequency modulation layer in space ruler The rolling optimization model successively refined on degree;
It corrects unit and passes through operation of power networks state for establishing feedback compensation link in terms of wind power prediction error correction The feedback compensation of feedback and prediction data realizes the operation with closed ring of collective frequency control.
7. system according to claim 6, which is characterized in that the distributed model predictive control device is established in unit Layered distribution type Model Predictive Control H-DMPC controller includes: frequency modulation control device, frequency modulation frequency modulation controller and primary to adjust three times Frequency controller,
The device of frequency modulation control three times is the controller for making wind-powered electricity generation participate in frequency modulation three times, and sphere of action is whole district's tradition AGC power supply With wind-powered electricity generation cluster, the starting time is every 15min, optimizes tradition in 15min in the case where AGC operation is spare and wind power prediction constrains The economical operation value and power reference of AGC power supply and wind-powered electricity generation cluster stabilizes 15min grades of significantly load fluctuations;
The frequency modulation frequency modulation controller, to make wind-powered electricity generation participate in the controller of frequency modulation frequency modulation, sphere of action is subregion tradition AGC power supply And wind power plant, starting time are every 1min, carry out the secondary tune of subregion on the basis of the economical operation basic point that frequency modulation three times determines Frequency stabilizes 1min grades of load fluctuations by a relatively large margin;
The primary frequency modulation controller, to make wind-powered electricity generation participate in the controller of primary frequency modulation, sphere of action is classification wind power plant, starting Time is every 1min, dropped virtual sagging control by blower/liter revolving speed in a manner of make wind field that there is of short duration frequency modulation ability, it is real When stabilize small magnitude random load fluctuation.
8. system according to claim 6, which is characterized in that the control framework establishes unit, establishes wind-powered electricity generation cluster and exists The multiple space and time scales of frequency modulation layer, frequency modulation frequency modulation layer and primary frequency modulation layer are coordinated to become size frequency control framework three times, comprising:
It is respectively provided with prediction model, rolling optimization and feedback compensation link in each control layer, it is real-time according to power grid and wind-powered electricity generation cluster Operating status, is fed back by operation of power networks state and prediction data correction link is established respectively to frequency modulation layer, frequency modulation frequency modulation three times The feedback compensation of layer and primary frequency modulation layer forms closed loop frequency modulation frame structure.
9. system according to claim 6, which is characterized in that the Optimized model establishes unit, respectively in frequency modulation three times Layer, frequency modulation frequency modulation layer and primary frequency modulation layer establish the rolling optimization model successively refined on space scale, comprising:
Frequency modulation control device modeling module three times, for the whole district, frequency modulation control device is modeled three times, considers system network topology, really Determine rolling optimization objective function are as follows:
Wherein, T is optimization time domain, T=4, λ1、λ2、λ3For the control weight of objective function items, and λ123=1;NGIt is complete Area's tradition AGC number of power sources, NWFor whole district's wind-powered electricity generation number, MIt (k) is the cost of electricity-generating of tradition AGC power supply α in period k,Wherein KfFor fuel price, a、b、cFor consumption characteristic curve ginseng Number, Δ PIt (k) is AGC power supply α active power output adjustment amount in period k, MIt (k) is the cost of electricity-generating of wind power plant β in period k, M (k)=KwΔP(k), wherein Kw is wind power plant specific power adjustment cost, Δ PIt (k) is wind power plant β active power output in period k Adjustment amount;Z is the interconnection number from wind-powered electricity generation cluster close quarters to load intensive region,It sends out and gets in touch with for wind-powered electricity generation cluster The transmission limit of line γ, Ptie,γ(k) transmission capacity of interconnection γ is sent out for period k wind-powered electricity generation cluster;Ploss (k) is period k Whole district's system losses;
Frequency modulation frequency modulation controller modeling module is modeled for subregion frequency modulation frequency modulation controller, considers subregion ASFAM model, is determined Optimization object function are as follows:
Wherein, YiFor output sequence, ηiFor laguerre function control sequence, QiAnd RLiThe error power being respectively made of weight coefficient Control diagonal matrix under diagonal matrix and laguerre function;
1min every to subregion wind power plant is arranged for primary frequency modulation controller modeling of classifying in primary frequency modulation controller modeling module Participate in the principle of primary frequency modulation process are as follows: when uncertain small magnitude random load increases, wind power plant inner blower passes through drop Revolving speed discharges kinetic energy, quicklys increase wind power output in short-term;When uncertain small magnitude random load reduces, wind-powered electricity generation Field inner blower quickly reduces wind power in short-term and exports by rising revolving speed store kinetic energy.
10. system according to claim 6, which is characterized in that the correction unit, in wind power prediction error correction Aspect goes over the actual error in the first preset time threshold by wind power plant using following formula and carries out school to prediction model Just:
Wherein,The respectively prediction model of correction front and back;H is error correction matrix;E is past 5min error moments Battle array.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110705769A (en) * 2019-09-26 2020-01-17 国家电网公司华北分部 New energy power generation power prediction optimization method and device
CN111262277A (en) * 2020-02-08 2020-06-09 上海交通大学 System and method for optimizing cluster operation of electric energy routers in energy Internet
CN111756050A (en) * 2020-05-19 2020-10-09 山东大学 Distributed voltage coordination control method and system for wind power plant group
CN111900721A (en) * 2020-06-28 2020-11-06 湖南大学 Smart power grid frequency control method based on wind-water cooperative power generation mode
CN112682254A (en) * 2020-12-21 2021-04-20 北京华能新锐控制技术有限公司 Fan active power tracking method based on dynamic multi-model predictive controller
WO2021164112A1 (en) * 2020-02-18 2021-08-26 山东大学 Frequency control method and system during using wind farm as black-start power source by means of optimal configuration of energy storage
CN114336673A (en) * 2021-11-24 2022-04-12 华能新能源股份有限公司 Wind storage combined power station primary frequency modulation control strategy based on model predictive control

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103474986A (en) * 2013-08-23 2013-12-25 国家电网公司 Long-time scale power system frequency fluctuation simulation method
CN105515022A (en) * 2016-01-20 2016-04-20 西南交通大学 Virtual double-fed induction generator inertia control method coordinated with secondary frequency regulation
CN106356899A (en) * 2016-09-20 2017-01-25 北京恒泰实达科技股份有限公司 Layered optimization model applicable to large-scale wind power control process
CN107658910A (en) * 2017-10-23 2018-02-02 西南交通大学 A kind of power system frequency modulation frequency modulation method based on DFIG and synchronous generator

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103474986A (en) * 2013-08-23 2013-12-25 国家电网公司 Long-time scale power system frequency fluctuation simulation method
CN105515022A (en) * 2016-01-20 2016-04-20 西南交通大学 Virtual double-fed induction generator inertia control method coordinated with secondary frequency regulation
CN106356899A (en) * 2016-09-20 2017-01-25 北京恒泰实达科技股份有限公司 Layered optimization model applicable to large-scale wind power control process
CN107658910A (en) * 2017-10-23 2018-02-02 西南交通大学 A kind of power system frequency modulation frequency modulation method based on DFIG and synchronous generator

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙舶皓等: ""基于分层分布式模型预测控制的多时空尺度协调风电集群综合频率控制策略"", 《中国电机工程学报》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110705769A (en) * 2019-09-26 2020-01-17 国家电网公司华北分部 New energy power generation power prediction optimization method and device
CN110705769B (en) * 2019-09-26 2022-07-05 国家电网公司华北分部 New energy power generation power prediction optimization method and device
CN111262277A (en) * 2020-02-08 2020-06-09 上海交通大学 System and method for optimizing cluster operation of electric energy routers in energy Internet
CN111262277B (en) * 2020-02-08 2023-09-05 上海交通大学 Optimization system and method for cluster operation of electric energy routers in energy internet
WO2021164112A1 (en) * 2020-02-18 2021-08-26 山东大学 Frequency control method and system during using wind farm as black-start power source by means of optimal configuration of energy storage
CN111756050A (en) * 2020-05-19 2020-10-09 山东大学 Distributed voltage coordination control method and system for wind power plant group
CN111900721A (en) * 2020-06-28 2020-11-06 湖南大学 Smart power grid frequency control method based on wind-water cooperative power generation mode
CN111900721B (en) * 2020-06-28 2022-04-12 湖南大学 Smart power grid frequency control method based on wind-water cooperative power generation mode
CN112682254A (en) * 2020-12-21 2021-04-20 北京华能新锐控制技术有限公司 Fan active power tracking method based on dynamic multi-model predictive controller
CN114336673A (en) * 2021-11-24 2022-04-12 华能新能源股份有限公司 Wind storage combined power station primary frequency modulation control strategy based on model predictive control
CN114336673B (en) * 2021-11-24 2024-02-09 华能新能源股份有限公司 Wind-storage combined power station primary frequency modulation control strategy based on model predictive control

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