CN104362642B - Dynamic reactive reserved optimizing method for improving long-term voltage stabilization in AC/DC (Alternating Current/Direct Current) power grid - Google Patents
Dynamic reactive reserved optimizing method for improving long-term voltage stabilization in AC/DC (Alternating Current/Direct Current) power grid Download PDFInfo
- Publication number
- CN104362642B CN104362642B CN201410584184.0A CN201410584184A CN104362642B CN 104362642 B CN104362642 B CN 104362642B CN 201410584184 A CN201410584184 A CN 201410584184A CN 104362642 B CN104362642 B CN 104362642B
- Authority
- CN
- China
- Prior art keywords
- dynamic
- term
- compensation equipment
- voltage
- passive compensation
- 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.)
- Active
Links
- 230000007774 longterm Effects 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000011105 stabilization Methods 0.000 title claims abstract description 36
- 230000006641 stabilisation Effects 0.000 title claims abstract description 33
- 238000005457 optimization Methods 0.000 claims abstract description 28
- 230000035945 sensitivity Effects 0.000 claims description 15
- 239000003990 capacitor Substances 0.000 claims description 9
- 238000004422 calculation algorithm Methods 0.000 claims description 8
- 240000002853 Nelumbo nucifera Species 0.000 claims description 7
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims description 7
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims description 7
- 230000005611 electricity Effects 0.000 claims description 6
- 230000002068 genetic effect Effects 0.000 claims description 6
- 239000005364 simax Substances 0.000 claims description 6
- 238000004088 simulation Methods 0.000 claims description 5
- XXXSILNSXNPGKG-ZHACJKMWSA-N Crotoxyphos Chemical compound COP(=O)(OC)O\C(C)=C\C(=O)OC(C)C1=CC=CC=C1 XXXSILNSXNPGKG-ZHACJKMWSA-N 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 abstract description 6
- 238000010276 construction Methods 0.000 abstract 1
- 230000010354 integration Effects 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 5
- 230000001052 transient effect Effects 0.000 description 5
- 238000011160 research Methods 0.000 description 4
- 230000003044 adaptive effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 206010068052 Mosaicism Diseases 0.000 description 1
- 208000032370 Secondary transmission Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000593 degrading effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 210000003765 sex chromosome Anatomy 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Power Engineering (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Control Of Electrical Variables (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides a dynamic reactive reserved optimizing method for improving the long-term voltage stabilization in an AC/DC (Alternating Current/Direct Current) power grid. The method comprises the steps below: determining a key failure integration for affecting the long-term voltage stabilization in the AC/DC power grid; adjusting reactive power output of dynamic reactive compensation equipment, and calculating the flexibility of the dynamic reactive compensation equipment; ordering m dynamic reactive compensation equipments, and calculating the weighting coefficients of the dynamic reactive compensation equipments; calculating the reserved capacity of the dynamic reactive compensation equipments, and building and resolving a dynamic reactive reserved optimization model. According to the method provided by the invention, the auxiliary decision support can be provided to improve the long-term voltage stabilization level in a multi DC droppoint power grid; furthermore, the dynamic reactive reserved optimizing method has significance on the improvement on the long-term voltage stabilization allowance in the AC/DC power grid, the construction of the smooth power transmission channels between a transmission end and a receiving end, the improvement on the delivery capacity of a DC power transmission channel, and the improvement on the economy and power quality of the operation of the power grid.
Description
Technical field
The invention belongs to technical field of power systems, be specifically related to a kind of dynamic nothing improving the medium-term and long-term voltage stabilization of alternating current-direct current electrical network
The standby optimization method of merit.
Background technology
Since Voltage-stabilizing Problems is paid attention to by Chinese scholars, have developed into multiple research branch, voltage stabilization there has also been bright
The most reasonably definition, studies effort through for many years, and electric power scholars have achieved rich in some field of Voltage-stabilizing Problems
Large achievement, as to the Small disturbance voltage stability in static voltage stability analysis, Dynamic voltage stability and Transient stability analysis
In, the most define the most perfect a set of research theory and analysis method, in sides such as electric power system dispatching operation and Monitoring and Controlling
Face all plays irreplaceable effect.But the research of current domestic centering long-term voltage stability problem is the most deep enough, does not has
Forming the most unified understanding, people's centering long term voltage stability mechanism and process can not carry out the most rigorous analysis, therefore,
Study medium-term and long-term Voltage-stabilizing Problems and there is very important theory significance.
After power system suffers large disturbances, owing to the pressure sensitive of load may temporarily keep voltage stabilization, but power system
In much affect the elements of voltage stability and all there is slow motion state course of action, along with the changing-over of on-load transformer tap changer,
And have load restoration characteristic element power recover, after a longer time course, system yet suffer from occur electricity
The possibility of pressure collapse, here it is medium-term and long-term Voltage-stabilizing Problems, the studied time domain scale of medium-term and long-term Voltage Stability Analysis is a few minutes
Even dozens of minutes.Load restoration characteristic centering long term voltage stability has extreme influence, has the main thoughts of element of recovery characteristics
Induction motor and constant temperature load, on-load transformer tap changer changing-over simultaneously is the major reason causing load restoration.Due to upper
The responsive time constant stating 3 kinds of dynamic elements is different in size, thus forms the medium-term and long-term Voltage Instability process that fast and slow dynamics combines.
Currently, lacking Voltage Stability Control method effective, quick, adaptable is also the major reason causing large-scale blackout
One of.Although China had not occurred the large-scale blackout caused by Voltage-stabilizing Problems, but along with " transferring electricity from the west to the east, north and south supplies mutually "
The formation of power system interconnection general layout, load center level constantly increases, and Large Copacity long distance power transmission is continuously increased, China's electric power
The voltage stabilization sex chromosome mosaicism of system becomes increasingly conspicuous, and the probability that Voltage Instability accident occurs is the most increasing.Due to Voltage-stabilizing Problems
Have disguised and sudden, be difficult to during accident discover, collapse of voltage once occurs, under China's current electric grid practical situation,
The hugest loss certainly will be caused.Therefore, research improves the standby optimization problem of dynamic reactive of medium-term and long-term voltage stabilization, effectively
Prevent Voltage Instability and collapse of voltage accident from occurring, there is important theory value and practical significance.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the present invention provides a kind of and improves the dynamic of the medium-term and long-term voltage stabilization of alternating current-direct current electrical network
Reactive Power Reserve optimization method, provides aid decision support, to carrying for improving the medium-term and long-term Voltage Stability Level of multi-feed HVDC electrical network
The high extensive medium-term and long-term voltage stability margin of alterating and direct current net, set up give, power transm ission corridor unimpeded between receiving end, promote and hand over
Direct current transportation passage conveying capacity, improves economy and the quality of power supply of operation of power networks, is respectively provided with important meaning.
In order to realize foregoing invention purpose, the present invention adopts the following technical scheme that:
The present invention provides a kind of standby optimization method of dynamic reactive improving the medium-term and long-term voltage stabilization of alternating current-direct current electrical network, described method bag
Include following steps:
Step 1: determine the critical failure set affecting the medium-term and long-term voltage stabilization of alternating current-direct current electrical network;
Step 2: adjust the idle of dynamic passive compensation equipment and exert oneself, and calculate the sensitivity of dynamic passive compensation equipment;
Step 3: m dynamic passive compensation equipment is ranked up, and calculates the weight coefficient of dynamic passive compensation equipment;
Step 4: calculate dynamic passive compensation equipment sparing capacity, set up the standby Optimized model of dynamic reactive, and it is dynamic to solve this
Reactive Power Reserve Optimized model.
In described step 1, alternating current-direct current electrical network is carried out fault scanning, the voltage stability margin K of calculated load bus iMVSi, have:
Wherein, ZLiFor the load equivalent impedance at load bus i, ZTiFor system Thevenin's equivalence impedance;
Choose KMVSiMinima is the voltage stability margin of alternating current-direct current electrical network, is designated as KMVSI, according to the voltage stabilization of alternating current-direct current electrical network
Margin value determines the serious conditions of fault, obtains critical failure, thus obtains critical failure set.
In described step 2, dynamic passive compensation equipment includes electromotor, SVC and STATCOM.
Described step 2 specifically includes following steps:
Step 2-1: adjust each the idle of dynamic passive compensation equipment respectively and exert oneself, and critical failure is carried out again time-domain-simulation;
Step 2-2: under long-term time scale, for certain fault l, calculates sensitivity S I of dynamic passive compensation equipment jl,j;
Step 2-3: under long-term time scale, for multiple faults, calculates sensitivity S I of dynamic passive compensation equipment jj。
In described step 2-2, for certain fault l, sensitivity S I of dynamic passive compensation equipment jl,jIt is expressed as:
Wherein, Qj0The most idle exerting oneself for dynamic passive compensation equipment j;ΔQjFor adjusting the nothing of dynamic passive compensation equipment j
Merit power variation;ΔQRjFor adjusting the Reactive Power Reserve variable quantity of dynamic passive compensation equipment j;kMVSI,l(Qj0+ΔQj) for adjusting
After dynamic passive compensation equipment j idle is exerted oneself, in fault FlUnder, the load margin value of alternating current-direct current electrical network;kMVSI,l(Qj0) for adjusting
Before whole dynamic passive compensation equipment j idle is exerted oneself, in fault FlUnder, the load margin value of alternating current-direct current electrical network.
In described step 2-3, for multiple faults, sensitivity S I of dynamic passive compensation equipment jjIt is expressed as:
Wherein, NlFor critical failure sum.
Described step 3 specifically includes following steps:
Step 3-1: according to SIjM dynamic passive compensation equipment is ranked up, SIjMaximum characterizes this dynamic passive compensation
The percentage contribution of equipment centering long-term voltage stability is maximum, and the dynamic passive compensation equipment that percentage contribution is big reserves more Reactive Power Reserve
Amount;
Step 3-2: with SIjMaximum SImaxOn the basis of, normalized SIj, calculate the weight system of dynamic passive compensation equipment
Number pj, have pj=SIj/|SImax|。
Described step 4 specifically includes following steps:
Step 4-1: calculate spare capacity Q of dynamic passive compensation equipmentRM;
Step 4-2: to improve QRMAs the standby optimization aim of dynamic reactive, set up the standby Optimized model of dynamic reactive;
Step 4-3: use the genetic algorithm for solving standby Optimized model of this dynamic reactive.
In described step 4-1, spare capacity Q of dynamic passive compensation equipmentRMIt is expressed as:
Wherein, QgjmaxFor the idle upper limit of exerting oneself of dynamic passive compensation equipment j, Q in medium-term and long-term voltage stabilizationgjFor dynamic reactive
The most idle the exerting oneself of compensation equipment j.
In described step 4-2, the object function of the standby Optimized model of dynamic reactive is:
The constraints of the standby Optimized model of dynamic reactive includes power flow equation constraint and variable bound;Described variable bound is for controlling
Variable bound and state variable constraint;
(1) power flow equation constraint:
In the standby Optimized model of dynamic reactive, each node meritorious is exerted oneself and idle exerting oneself all meets following power flow equation, has:
Wherein, PGiAnd QGiMeritorious the exerting oneself being respectively generators in power systems node is exerted oneself with idle;PLiAnd QLiIt is respectively negative
Meritorious the exerting oneself of lotus node is exerted oneself with idle;QCiReactive compensation capacity for node;GirAnd BirIt is respectively between node i, r
Conductance and susceptance;ViAnd VrIt is respectively node i, the voltage of r;δirFor the phase difference of voltage between node i, r;N is node
Sum;Pti(dc)And Qti(dc)It is respectively the meritorious input of DC node and idle input, is divided into following two situation:
1) node i is on rectification side change of current bus, Pti(dc)And Qti(dc)It is expressed as:
Wherein, kpNumber of poles for inverter;UdRFor rectification side DC voltage;IdFor DC line electric current;KdRFor rectification side
Converter power transformer no-load voltage ratio;B is 6 pulse wave cascaded bridges numbers of every pole;VRAc bus voltage magnitude for rectification side;
2) node i is on inverter side change of current bus, Pti(dc)And Qti(dc)It is expressed as:
Wherein, UdIFor inverter side DC voltage;KdIFor inverter side converter power transformer no-load voltage ratio;VIAc bus electricity for inverter side
Pressure amplitude value;
(2) control variables constraint:
Wherein, NG、NSVC、NSVG、NC、NTAnd NdcBe respectively electromotor nodes, SVC nodes,
STATCOM nodes, shnt capacitor nodes, transformator application of adjustable tap number and DC network nodes;VGiFor
The terminal voltage of electromotor node, VGiminAnd VGimaxIt is respectively VGiLower limit and higher limit;VSVCgSave for SVC
The terminal voltage of point, VSVCgminAnd VSVCgmaxIt is respectively VSVCgLower limit and higher limit;VSVGhFor STATCOM node
Terminal voltage, VSVGhminAnd VSVGhmaxIt is respectively VSVGhLower limit and higher limit;QCuFor the compensation capacity of Shunt Capacitor Unit,
QCuminAnd QCumaxIt is respectively QCuLower limit and higher limit;TkFor transformator application of adjustable tap, TkminAnd TkmaxIt is respectively TkUnder
Limit value and higher limit;Udl、Idm、PdnAnd θdrIt is respectively converter Control voltage, controls electric current, control power and control
Angle, UdlminAnd Udlmax、IdmminAnd Idmmax、PdnminAnd Pdnmax、θdrminAnd θdrmaxRepresent corresponding lower limit and upper respectively
Limit value;
(3) state variable constraint:
Wherein, NLFor load bus number;QGiExert oneself for electromotor node is idle, QGiminAnd QGimaxIt is respectively QGiLower limit
Value and higher limit;BSVCgFor SVC susceptance, BSVCgminAnd BSVCgmaxIt is respectively BSVCgLower limit and higher limit;
ISVGhFor STATCOM current amplitude, ISVGhminAnd ISVGhmaxIt is respectively ISVGhLower limit and higher limit;VLpIt is negative
Lotus node voltage amplitude, VLpminAnd VLpmaxIt is respectively VLpLower limit and higher limit.
Compared with prior art, the beneficial effects of the present invention is:
There is no the dynamic reactive standby optimization skill improving medium-term and long-term voltage stabilization being applicable to multi-infeed HVDC electrical network feature the most at present
Art, the present invention proposes a kind of multi-infeed HVDC electrical network feature that is applicable to innovatively and improves the dynamic reactive of medium-term and long-term voltage stabilization
Standby optimization method;
2., with compared with static traditional Reactive Power Reserve optimization method, this method considers the dynamic characteristic of system in detail, it is possible to
More accurately determining dynamic passive compensation equipment sparing capacity, the optimization for electrical network runs offer basis;
3. analyzed by time-domain-simulation, can quick and easy, accurately determine the participation factors of each reactive source, can be applicable to advise greatly
The standby optimization of dynamic reactive of mould power system, the algorithm overcoming conventional electric power system dynamic reactive-load optimization can be only applied to little system
The shortcoming of system.
Accompanying drawing explanation
Fig. 1 is the dynamic reactive standby optimization method flow process improving the medium-term and long-term voltage stabilization of alternating current-direct current electrical network in the embodiment of the present invention
Figure;
Fig. 2 is employing genetic algorithm for solving dynamic reactive standby Optimized model flow chart in the embodiment of the present invention;
Fig. 3 is 3 machine 10 node regulation test ac and dc systems schematic diagram during the present invention implements;
Fig. 4 be in the embodiment of the present invention electromotor relative to merit angle change curve;
Fig. 5 is the magnetizing current curve figure of electromotor 2 and electromotor 3 in the embodiment of the present invention;
Fig. 6 is embodiment of the present invention interior joint 9 and node 10 voltage change curve figure;
Fig. 7 be in the embodiment of the present invention optimize before and after node 3 (electromotor G3 machine end) voltage curve;
Fig. 8 be in the embodiment of the present invention optimize before and after node 10 voltage curve.
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention is described in further detail.
The present invention provides a kind of standby optimization method of dynamic reactive improving the medium-term and long-term voltage stabilization of alternating current-direct current electrical network, described method bag
Include following steps:
Step 1: determine the critical failure set affecting the medium-term and long-term voltage stabilization of alternating current-direct current electrical network;
Step 2: adjust the idle of dynamic passive compensation equipment and exert oneself, and calculate the sensitivity of dynamic passive compensation equipment;
Step 3: m dynamic passive compensation equipment is ranked up, and calculates the weight coefficient of dynamic passive compensation equipment;
Step 4: calculate dynamic passive compensation equipment sparing capacity, set up the standby Optimized model of dynamic reactive, and it is dynamic to solve this
Reactive Power Reserve Optimized model.
In described step 1, alternating current-direct current electrical network is carried out fault scanning, the voltage stability margin K of calculated load bus iMVSi, have:
Wherein, ZLiFor the load equivalent impedance at load bus i, ZTiFor system Thevenin's equivalence impedance;
Choose KMVSiMinima is the voltage stability margin of alternating current-direct current electrical network, is designated as KMVSI, according to the voltage stabilization of alternating current-direct current electrical network
Margin value determines the serious conditions of fault, obtains critical failure, thus obtains critical failure set.
In described step 2, dynamic passive compensation equipment includes electromotor, SVC and STATCOM.
Described step 2 specifically includes following steps:
Step 2-1: adjust each the idle of dynamic passive compensation equipment respectively and exert oneself, and critical failure is carried out again time-domain-simulation;
Step 2-2: under long-term time scale, for certain fault l, calculates sensitivity S I of dynamic passive compensation equipment jl,j;
Step 2-3: under long-term time scale, for multiple faults, calculates sensitivity S I of dynamic passive compensation equipment jj。
In described step 2-2, for certain fault l, sensitivity S I of dynamic passive compensation equipment jl,jIt is expressed as:
Wherein, Qj0The most idle exerting oneself for dynamic passive compensation equipment j;ΔQjFor adjusting the nothing of dynamic passive compensation equipment j
Merit power variation;ΔQRjFor adjusting the Reactive Power Reserve variable quantity of dynamic passive compensation equipment j;kMVSI,l(Qj0+ΔQj) for adjusting
After dynamic passive compensation equipment j idle is exerted oneself, in fault FlUnder, the load margin value of alternating current-direct current electrical network;kMVSI,l(Qj0) for adjusting
Before whole dynamic passive compensation equipment j idle is exerted oneself, in fault FlUnder, the load margin value of alternating current-direct current electrical network.
In described step 2-3, for multiple faults, sensitivity S I of dynamic passive compensation equipment jjIt is expressed as:
Wherein, NlFor critical failure sum.
Described step 3 specifically includes following steps:
Step 3-1: according to SIjM dynamic passive compensation equipment is ranked up, SIjMaximum characterizes this dynamic passive compensation
The percentage contribution of equipment centering long-term voltage stability is maximum, and the dynamic passive compensation equipment that percentage contribution is big reserves more Reactive Power Reserve
Amount;
Step 3-2: with SIjMaximum SImaxOn the basis of, normalized SIj, calculate the weight system of dynamic passive compensation equipment
Number pj, have pj=SIj/|SImax|。
Described step 4 specifically includes following steps:
Step 4-1: calculate spare capacity Q of dynamic passive compensation equipmentRM;
Step 4-2: to improve QRMAs the standby optimization aim of dynamic reactive, set up the standby Optimized model of dynamic reactive;
Step 4-3: use the genetic algorithm for solving standby Optimized model of this dynamic reactive.
In described step 4-1, spare capacity Q of dynamic passive compensation equipmentRMIt is expressed as:
Wherein, QgjmaxFor the idle upper limit of exerting oneself of dynamic passive compensation equipment j, Q in medium-term and long-term voltage stabilizationgjFor dynamic reactive
The most idle the exerting oneself of compensation equipment j.
In described step 4-2, the object function of the standby Optimized model of dynamic reactive is:
The constraints of the standby Optimized model of dynamic reactive includes power flow equation constraint and variable bound;Described variable bound is for controlling
Variable bound and state variable constraint;
(1) power flow equation constraint:
In the standby Optimized model of dynamic reactive, each node meritorious is exerted oneself and idle exerting oneself all meets following power flow equation, has:
Wherein, PGiAnd QGiMeritorious the exerting oneself being respectively generators in power systems node is exerted oneself with idle;PLiAnd QLiIt is respectively negative
Meritorious the exerting oneself of lotus node is exerted oneself with idle;QCiReactive compensation capacity for node;GirAnd BirIt is respectively between node i, r
Conductance and susceptance;ViAnd VrIt is respectively node i, the voltage of r;δirFor the phase difference of voltage between node i, r;N is node
Sum;Pti(dc)And Qti(dc)It is respectively the meritorious input of DC node and idle input, is divided into following two situation:
1) node i is on rectification side change of current bus, Pti(dc)And Qti(dc)It is expressed as:
Wherein, kpNumber of poles for inverter;UdRFor rectification side DC voltage;IdFor DC line electric current;KdRFor rectification side
Converter power transformer no-load voltage ratio;B is 6 pulse wave cascaded bridges numbers of every pole;VRAc bus voltage magnitude for rectification side;
2) node i is on inverter side change of current bus, Pti(dc)And Qti(dc)It is expressed as:
Wherein, UdIFor inverter side DC voltage;KdIFor inverter side converter power transformer no-load voltage ratio;VIAc bus electricity for inverter side
Pressure amplitude value;
(2) control variables constraint:
Wherein, NG、NSVC、NSVG、NC、NTAnd NdcBe respectively electromotor nodes, SVC nodes,
STATCOM nodes, shnt capacitor nodes, transformator application of adjustable tap number and DC network nodes;VGiFor
The terminal voltage of electromotor node, VGiminAnd VGimaxIt is respectively VGiLower limit and higher limit;VSVCgSave for SVC
The terminal voltage of point, VSVCgminAnd VSVCgmaxIt is respectively VSVCgLower limit and higher limit;VSVGhFor STATCOM node
Terminal voltage, VSVGhminAnd VSVGhmaxIt is respectively VSVGhLower limit and higher limit;QCuFor the compensation capacity of Shunt Capacitor Unit,
QCuminAnd QCumaxIt is respectively QCuLower limit and higher limit;TkFor the no-load voltage ratio of transformator, TkminAnd TkmaxIt is respectively TkLower limit
And higher limit;Udl、Idm、PdnAnd θdrIt is respectively converter Control voltage, controls electric current, control power and pilot angle, Udlmin
And Udlmax、IdmminAnd Idmmax、PdnminAnd Pdnmax、θdrminAnd θdrmaxRepresent corresponding lower limit and higher limit respectively;
(3) state variable constraint:
Wherein, NLFor load bus number;QGiExert oneself for electromotor node is idle, QGiminAnd QGimaxIt is respectively QGiLower limit
Value and higher limit;BSVCgFor SVC susceptance, BSVCgminAnd BSVCgmaxIt is respectively BSVCgLower limit and higher limit;
ISVGhFor STATCOM current amplitude, ISVGhminAnd ISVGhmaxIt is respectively ISVGhLower limit and higher limit;VLpIt is negative
Lotus node voltage amplitude, VLpminAnd VLpmaxIt is respectively VLpLower limit and higher limit.
In step 4-3, use the genetic algorithm for solving standby Optimized model of this dynamic reactive;
The basic thought of genetic algorithm is, a group under certain specific environment is individual, owing to environment limits, the most adaptable
Can survive, and weak person is eliminated, they adapt to the merit of environment can entail offspring.GA is applied to Reactive Power Reserve optimization
It is to be understood that one group of initial trend solution under power system during problem, retrained by various constraintss, commented by object function
Its quality of valency, low being abandoned of evaluation of estimate, what only evaluation of estimate was high has an opportunity its feature iteration to next round solution, finally tends to
Optimum.
Detailed process is as follows:
(1) first, randomly generate first generation parent according to following formula, have:
Xi=INT (RND (Ximax-Xiimn))+Ximin (11)
Wherein, RND is random number, and 0 < RND < 1;INT (*) is for rounding;
XiIf VGi, then Ximax、XimaxRepresent the terminal voltage bound of electromotor node respectively;
XiIf VSVCg, then Ximax、XimaxRepresent the terminal voltage bound of SVC node respectively;
XiIf VSVGh, then Ximax、XimaxRepresent the terminal voltage bound of STATCOM node respectively;
XiIf QCu, then Ximax、XimaxRepresent the compensation capacity bound of Shunt Capacitor Unit respectively;
XiIf Tk, then Ximax、XimaxThe no-load voltage ratio bound of indication transformer respectively.
Formula (11) makes the constraint equation of variable can be converted into the constraint equation of integer variable.As 1+5 × 0.025% transformator its
The span of YT is 1~11.Coding uses binary number, every five orders to represent YVgi、YVsvcg、YVsvgh、YQcu、YTkValue:
H=[..., b5i-4,…,b5i,…,b5g-4,…b5g,…,b5h-4,…b5h,…,b5u-4,…,b5u,…,b5k-4,…,b5k,…] (12)
(2) each individuality in A is decoded according to formula (13), revises value corresponding in original flow data, then start
Load flow calculation, the flow calculation program of the present invention uses N-R method;
In formula: Δ VGi、ΔVSVCg、ΔVSVGh、ΔQCu、ΔTkThere is level to regulate cell value to dependent variable;
YVgi、YVsvcg、YVsvgh、YQcu、YTkRepresent the integer variable of the control variable position of the switch;
YVgi=1, represent that i-th electromotor node side voltage is transferred to maximum;
YVsvcg=1, represent that the g SVC node side voltage is transferred to maximum;
YVsvgh=1, represent that the h STATCOM node side voltage is transferred to maximum;
YQcu=1, represent that jth capacitor puts into one group of capacitance;
YTk=1, represent that kth load tap changer is placed in no-load voltage ratio maximum position;
(3) through Load flow calculation, it is thus achieved that the data such as the voltage of each node, idle and dynamic reactive spare capacity, and by its by
Big to little sequence;
(4) according to adaptive value size, each individuality is ranked up, retains individual composition groups of individuals B that affinity is big, simultaneously to B
Interior individuality carries out cross and variation operation, the individuality that after reservation operations, overall adaptive value is big, forms groups of individuals C;According to adaptive value
Size rearranges groups of individuals D to B, C;
(5) check iteration termination condition, if reached, terminating, otherwise turning next step;
(6) randomly generate one group of new groups of individuals E, collectively constitute a new generation's iterative computation groups of individuals F with D, go to step (2),
Restart to calculate.
Embodiment
As it is shown on figure 3, for 3 machine 10 node systems, 500kV bus (Bus6) is powered to the two of load area loads,
Industrial load therein (node Bus7) is connected with 500kV load bus by OLTC transformator, and resident load and business
Load (node Bus10) then represents the impedance of secondary transmission system by two OLTC transformators and one section and is connected on 500kV and bears
Lotus bus.There is the equivalent electromotor (node Bus3) of a 1600MVA in load area, and have employed substantial amounts of shunt compensation dress
Put, node 8 has been respectively configured SVC (SVC) that capacity is ± 240Mvar and capacity is the electricity of 600Mvar
Container group, the every pool-size of this Capacitor banks is 100Mvar, totally 6 groups.The electromotor in two distant places passes through 4 500kV circuits
Power is carried to load area with 1 time bipolar direct current transmission line.The main models that emulation is used: transformator (Bus9~Bus10)
For OLTC transformator, other tap keeps constant;Load on node Bus7 is invariable power model, and other load is constant-resistance
Anti-model;Electromotor on electromotor 2 and 3 (node Bus2 and Bus3) has overexcitation to limit device, electromotor 1 (node
Bus1) it is infinitely great electromotor.
This system is carried out fault scanning, determines the critical failure set of the medium-term and long-term voltage stabilization of threat system.In order to say easily
The effectiveness of bright TSI index, this example only investigates the most serious N-1 fault, node 5~joint when failure mode is t=0.1s
The permanent short trouble of three-phase, 0.09s tripping faulty line after fault is there is in an alternating current interconnection between point 6 in node 6 side
Node 6 side switchs, and 0.1s tripping faulty line node 5 side switchs.
Fig. 4 represents electromotor 2, electromotor 3 merit angle relative with between electromotor 1 rocking curve respectively.From fig. 4, it can be seen that this
The initial fast transient process that disturbance causes can quickly disappear, and shows that system can keep transient rotor angle stability, follow-up in
Though merit angle is waved in long process, but angle is smaller, shows that system can also keep medium-term and long-term angle stability.
In Fig. 5, the exciting current of overexcitation limiter indicates electromotor 2 and electromotor 3 electromotive force EqResponse, this is electronic
Gesture is proportional to exciting current.As it can be seen, after disturbance, the exciting current of electromotor 2 and electromotor 3 can fly up, as
Fruit has exceeded rotor current restriction, will start mechanism between the inverse time of overexcitation limiter.After disturbance, the fortune of OLTC transformator
Row imposes a very heavy reactive requirement to electromotor.This demand is degrading rotor overload further, until final mistake
Excitation Limiter is energized, and causes exciting current to return to its rated value.Noting, this overexciation limiter is integral form, so that
In EqIt is forced to Eq lim.Subsequently tap conversion cause transient exciting current to raise, this rising exciting current quickly by
Overexcitation limiter is detected (such as the maximum of points of electromotor 2,3 exciting current in Fig. 5), and corrects.
Fig. 6 gives node 9 and the voltage of node 10, high-voltage side bus 9 voltage of the OLTC i.e. powered and load to load
Side gusset 10 voltage.As seen from the figure, in transient process, node 9 can stable operation at 0.87p.u..OLTC transformator
By reducing no-load voltage ratio Tk, manage to recover load side node 10 voltage.After the initial time delay of 30 seconds, OLTC changes
Device brings into operation, and about 55 seconds, after 5 tap_changings, busbar voltage rose to 0.915pu, closely accident
Front level, the exciting current output of electromotor 2 and 3 is consequently increased the demand (Fig. 5) meeting system to reactive power.But
When being by 347 seconds, start action owing to the overexcitation of electromotor 3 limits device, limit its output electric current so that this machine
Reactive power output decline the most therewith, cause the voltage of load bus 10 again to decline.For ensureing voltage, load tap changer
Continuation action 18 times.When 442 seconds, the overexcitation of electromotor 2 limited device and also begins to action, and the reactive power of system lacks
Mouth is greatly increased, and result in the generation of collapse of voltage.
After obtain each control variable of reactive power reserve optimization problem by the present invention, time-domain-simulation checking is utilized to analyze institute's extracting method
Effectiveness.
The permanent short trouble of three-phase, 0.09s after fault is there is in an alternating current interconnection between node 5~node 6 in node 6 side
Tripping faulty line node 6 side switchs, and 0.1s tripping faulty line node 5 side switchs.Fig. 7 and Fig. 8 is respectively electromotor G3
Set end voltage and node 10 voltage curve, it can be seen that the medium-term and long-term voltage stability of system is wanted than before optimizing after You Huaing
Good, the optimized algorithm that this explanation uses the present invention to propose can be effectively improved the medium-term and long-term voltage stability of electrical network.
Finally should be noted that: above example only in order to illustrate that technical scheme is not intended to limit, art
Those of ordinary skill still the detailed description of the invention of the present invention can be modified or equivalent with reference to above-described embodiment,
These are without departing from any amendment of spirit and scope of the invention or equivalent, the claim of the present invention all awaited the reply in application
Within protection domain.
Claims (9)
1. improve the standby optimization method of dynamic reactive of the medium-term and long-term voltage stabilization of alternating current-direct current electrical network, it is characterised in that: described method bag
Include following steps:
Step 1: determine the critical failure set affecting the medium-term and long-term voltage stabilization of alternating current-direct current electrical network;
Step 2: adjust the idle of dynamic passive compensation equipment and exert oneself, and calculate the sensitivity of dynamic passive compensation equipment;
Step 3: m dynamic passive compensation equipment is ranked up, and calculates the weight coefficient of dynamic passive compensation equipment;
Step 4: calculate dynamic passive compensation equipment sparing capacity, set up the standby Optimized model of dynamic reactive, and it is dynamic to solve this
Reactive Power Reserve Optimized model;
In described step 1, alternating current-direct current electrical network is carried out fault scanning, the voltage stability margin K of calculated load bus iMVSi, have:
Wherein, ZLiFor the load equivalent impedance at load bus i, ZTiFor system Thevenin's equivalence impedance;
Choose KMVSiMinima is the voltage stability margin of alternating current-direct current electrical network, is designated as KMVSI, according to the voltage stabilization of alternating current-direct current electrical network
Margin value determines the serious conditions of fault, obtains critical failure, thus obtains critical failure set.
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 1, its
Being characterised by: in described step 2, dynamic passive compensation equipment includes that electromotor, SVC and Static Synchronous compensate
Device.
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 1, its
It is characterised by: described step 2 specifically includes following steps:
Step 2-1: adjust each the idle of dynamic passive compensation equipment respectively and exert oneself, and critical failure is carried out again time-domain-simulation;
Step 2-2: under long-term time scale, for certain fault l, calculates sensitivity S I of dynamic passive compensation equipment jl,j;
Step 2-3: under long-term time scale, for multiple faults, calculates sensitivity S I of dynamic passive compensation equipment jj。
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 3, its
It is characterised by: in described step 2-2, for certain fault l, sensitivity S I of dynamic passive compensation equipment jl,jIt is expressed as:
Wherein, Qj0The most idle exerting oneself for dynamic passive compensation equipment j;ΔQjFor adjusting the nothing of dynamic passive compensation equipment j
Merit power variation;ΔQRjFor adjusting the Reactive Power Reserve variable quantity of dynamic passive compensation equipment j;kMVSI,l(Qj0+ΔQj) for adjusting
After dynamic passive compensation equipment j idle is exerted oneself, under fault l, the load margin value of alternating current-direct current electrical network;kMVSI,l(Qj0) for adjusting
Before whole dynamic passive compensation equipment j idle is exerted oneself, under fault l, the load margin value of alternating current-direct current electrical network.
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 3, its
It is characterised by: in described step 2-3, for multiple faults, sensitivity S I of dynamic passive compensation equipment jjIt is expressed as:
Wherein, NlFor critical failure sum.
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 3, its
It is characterised by: described step 3 specifically includes following steps:
Step 3-1: according to SIjM dynamic passive compensation equipment is ranked up, SIjMaximum characterizes this dynamic passive compensation
The percentage contribution of equipment centering long-term voltage stability is maximum, and the dynamic passive compensation equipment that percentage contribution is big reserves more Reactive Power Reserve
Amount;
Step 3-2: with SIjMaximum SImaxOn the basis of, normalized SIj, calculate the weight system of dynamic passive compensation equipment
Number pj, have pj=SIj/|SImax|。
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 1, its
It is characterised by: described step 4 specifically includes following steps:
Step 4-1: calculate spare capacity Q of dynamic passive compensation equipmentRM;
Step 4-2: to improve QRMAs the standby optimization aim of dynamic reactive, set up the standby Optimized model of dynamic reactive;
Step 4-3: use the genetic algorithm for solving standby Optimized model of this dynamic reactive.
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 7, its
It is characterised by: in described step 4-1, spare capacity Q of dynamic passive compensation equipmentRMIt is expressed as:
Wherein, QgjmaxFor the idle upper limit of exerting oneself of dynamic passive compensation equipment j, Q in medium-term and long-term voltage stabilizationgjFor dynamic reactive
The most idle the exerting oneself of compensation equipment j.
The standby optimization method of dynamic reactive of the raising medium-term and long-term voltage stabilization of alternating current-direct current electrical network the most according to claim 7, its
Being characterised by: in described step 4-2, the object function of the standby Optimized model of dynamic reactive is:
The constraints of the standby Optimized model of dynamic reactive includes power flow equation constraint and variable bound;Described variable bound is for controlling
Variable bound and state variable constraint;
(1) power flow equation constraint:
In the standby Optimized model of dynamic reactive, each node meritorious is exerted oneself and idle exerting oneself all meets following power flow equation, has:
Wherein, PGiAnd QGiMeritorious the exerting oneself being respectively generators in power systems node is exerted oneself with idle;PLiAnd QLiIt is respectively negative
Meritorious the exerting oneself of lotus node is exerted oneself with idle;QCiReactive compensation capacity for node;GirAnd BirIt is respectively between node i, r
Conductance and susceptance;ViAnd VrIt is respectively node i, the voltage of r;δirFor the phase difference of voltage between node i, r;N is node
Sum;Pti(dc)And Qti(dc)It is respectively the meritorious input of DC node and idle input, is divided into following two situation:
1) node i is on rectification side change of current bus, Pti(dc)And Qti(dc)It is expressed as:
Wherein, kpNumber of poles for inverter;UdRFor rectification side DC voltage;IdFor DC line electric current;KdRFor rectification side
Converter power transformer no-load voltage ratio;B is 6 pulse wave cascaded bridges numbers of every pole;VRAc bus voltage magnitude for rectification side;
2) node i is on inverter side change of current bus, Pti(dc)And Qti(dc)It is expressed as:
Wherein, UdIFor inverter side DC voltage;KdIFor inverter side converter power transformer no-load voltage ratio;VIAc bus electricity for inverter side
Pressure amplitude value;
(2) control variables constraint:
Wherein, NG、NSVC、NSVG、NC、NTAnd NdcBe respectively electromotor nodes, SVC nodes,
STATCOM nodes, shnt capacitor nodes, transformator application of adjustable tap number and DC network nodes;VGiFor
The terminal voltage of electromotor node, VGiminAnd VGimaxIt is respectively VGiLower limit and higher limit;VSVCgSave for SVC
The terminal voltage of point, VSVCgminAnd VSVCgmaxIt is respectively VSVCgLower limit and higher limit;VSVGhFor STATCOM node
Terminal voltage, VSVGhminAnd VSVGhmaxIt is respectively VSVGhLower limit and higher limit;QCuFor the compensation capacity of Shunt Capacitor Unit,
QCuminAnd QCumaxIt is respectively QCuLower limit and higher limit;TkFor transformator application of adjustable tap, TkminAnd TkmaxIt is respectively TkUnder
Limit value and higher limit;Udl、Idm、PdnAnd θdrIt is respectively converter Control voltage, controls electric current, control power and control
Angle, UdlminAnd Udlmax、IdmminAnd Idmmax、PdnminAnd Pdnmax、θdrminAnd θdrmaxRepresent corresponding lower limit and upper respectively
Limit value;
(3) state variable constraint:
Wherein, NLFor load bus number;QGiExert oneself for electromotor node is idle, QGiminAnd QGimaxIt is respectively QGiLower limit
And higher limit;BSVCgFor SVC susceptance, BSVCgminAnd BSVCgmaxIt is respectively BSVCgLower limit and higher limit;
ISVGhFor STATCOM current amplitude, ISVGhminAnd ISVGhmaxIt is respectively ISVGhLower limit and higher limit;VLpIt is negative
Lotus node voltage amplitude, VLpminAnd VLpmaxIt is respectively VLpLower limit and higher limit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410584184.0A CN104362642B (en) | 2014-10-27 | 2014-10-27 | Dynamic reactive reserved optimizing method for improving long-term voltage stabilization in AC/DC (Alternating Current/Direct Current) power grid |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410584184.0A CN104362642B (en) | 2014-10-27 | 2014-10-27 | Dynamic reactive reserved optimizing method for improving long-term voltage stabilization in AC/DC (Alternating Current/Direct Current) power grid |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104362642A CN104362642A (en) | 2015-02-18 |
CN104362642B true CN104362642B (en) | 2017-01-11 |
Family
ID=52529880
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410584184.0A Active CN104362642B (en) | 2014-10-27 | 2014-10-27 | Dynamic reactive reserved optimizing method for improving long-term voltage stabilization in AC/DC (Alternating Current/Direct Current) power grid |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104362642B (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105281342B (en) * | 2015-10-26 | 2017-06-16 | 海南电网有限责任公司 | The preferential idle distribution method of photo-voltaic power generation station for ensureing dynamic reactive nargin |
CN106099908B (en) * | 2016-05-20 | 2022-02-01 | 中国电力科学研究院 | Method for evaluating stability of medium-and-long-term voltage of receiving-end power grid |
CN108964010A (en) * | 2017-05-19 | 2018-12-07 | 国网安徽省电力公司 | A kind of method and system of determining grid equipment to the sensitivity of power grid security index |
CN108090272B (en) * | 2017-12-13 | 2020-11-17 | 广东电网有限责任公司电力科学研究院 | Modeling simulation method and device for modular multilevel converter |
CN108879707A (en) * | 2018-07-10 | 2018-11-23 | 福州大学 | A kind of online sort method in power system reactive power compensation place |
CN111030196B (en) * | 2019-12-17 | 2020-12-11 | 清华大学 | Dynamic sensitivity-based dynamic reactive power reserve optimization method for receiving-end power grid |
CN111193271B (en) * | 2020-02-17 | 2021-11-12 | 苏州工业园区服务外包职业学院 | Power grid reactive power optimization method and device, computer equipment and storage medium |
CN111682571B (en) * | 2020-05-07 | 2021-11-02 | 山东大学 | Hierarchical coordination voltage control method and system for hybrid multi-infeed alternating current-direct current hybrid system |
CN112039074B (en) * | 2020-09-25 | 2022-01-18 | 贵州电网有限责任公司 | Online safety and stability emergency control strategy mode word generation method |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5760860B2 (en) * | 2011-08-30 | 2015-08-12 | 株式会社明電舎 | Reactive power compensator |
CN103825281B (en) * | 2014-01-22 | 2016-02-24 | 清华大学 | Based on the control method of maincenter busbar voltage in the electric power system of dynamic reactive equipment |
CN104037775B (en) * | 2014-05-14 | 2016-01-27 | 浙江大学 | A kind of power-system short-term Voltage Stability Control method |
-
2014
- 2014-10-27 CN CN201410584184.0A patent/CN104362642B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN104362642A (en) | 2015-02-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104362642B (en) | Dynamic reactive reserved optimizing method for improving long-term voltage stabilization in AC/DC (Alternating Current/Direct Current) power grid | |
CN103701140B (en) | Improve the dynamic reactive optimization method for subsequent use of alternating current-direct current electrical network Transient Voltage Stability | |
Aamir et al. | Impact of synchronous condenser on the dynamic behavior of LCC-based UHVDC system hierarchically connected to AC system | |
Chaudhuri et al. | Adaptive droop control for effective power sharing in multi-terminal DC (MTDC) grids | |
CN104466984B (en) | Dynamic reactive standby optimization method for increasing safety level of direct current commutation | |
Byeon et al. | A research on the characteristics of fault current of DC distribution system and AC distribution system | |
Chaudhuri et al. | Modeling and stability analysis of MTDC grids for offshore wind farms: A case study on the North Sea benchmark system | |
Zhang et al. | The reactive power voltage control strategy of PV systems in low-voltage string lines | |
Zhang et al. | Generalized short circuit ratio for multi-infeed LCC-HVDC systems | |
Huang et al. | Improving photovoltaic and electric vehicle penetration in distribution grids with smart transformer | |
Isozaki et al. | On detection of cyber attacks against voltage control in distribution power grids | |
Jayawardena et al. | Low-voltage ride-through characteristics of microgrids with distribution static synchronous compensator (DSTATCOM) | |
Aarathi et al. | Grid connected photovoltaic system with super capacitor energy storage and STATCOM for power system stability enhancement | |
Safitri et al. | Different techniques for simultaneouly increasing the penetration level of rooftop PVs in residential LV networks and improving voltage profile | |
CN106340906A (en) | AC and DC system low voltage load shedding optimization method based on improved genetic algorithm | |
Lin et al. | A linearized branch flow model considering line shunts for radial distribution systems and its application in Volt/VAr control | |
Zhao et al. | Optimal Configuration of ESS and SVG for the Coordinated Improvement of Power Quality in Low Voltage Distribution Network with high Penetration PV | |
Gandhar et al. | Application of SSSC for compensation assessment of interconnected power system | |
Shinde et al. | Investigation of effects of solar photovoltaic penetration in an IEEE 13-bus radial low-voltage distribution feeder system | |
Garces et al. | A voltage regulator based on matrix converter for smart grid applications | |
Rijesh et al. | Performance analysis of smart device—STATCOM for grid application | |
Safitri et al. | Coordination of single-phase rooftop PVs to regulate voltage profiles of unbalanced residential feeders | |
Bernal et al. | Reactive power fluctuations smoothing in optimal control of grid-connected PV systems | |
Dias et al. | Power electronics in the context of renewables, power quality and smart grids | |
Qi et al. | A novel dynamical reactive power reserve optimization approach for improving mid-long term voltage stability of large-scale AC-DC hybrid power systems |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |