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2005IEEE/PES

TransmissionandDistribution

Conference&Exhibition:AsiaandPacific

Dalian,China

AStrategyofReactivePowerOptimizationfor

ComprehensiveEconomyofOperatingand

AdjustinginDistributionSystems

RenjunZhou,Hongming

Yang,Yongfei

Ma,Shiping

Su

Abstract--Inordertopreventtoomanyequipmentactions

and

toofrequent,

anovelstrategyisproposed

asthetwo-stage

process,i.e.theoff-linepre-optimizationandreal-time

optimization.Eachtimeintervalswithin

adispatchperiod

are

pre-optimized

onebyoneusingconventionalmodel,whilefor

real-timeoptimization,

anewmodelispresented.Notonlyare

theminimumnetworklossbutalsothe

costofcontrolactionand

thenumbertakeninto

account,thusoptimizingtheentire

system'svoltage,networkloss,equipmentlifeandnumberof

actions

sothatthecomprehensive

economyof

systemoperationis

realized.Theinertiafactorandsensitivitycalculation

are

introduced

toadjusteffectivelytherationaldistributionofthe

actionnumberoftheequipmentsinwholedispatchperiod.Inthe

algorithm,improvementhasbeenmade

onthesearchfor

optimizationusingGeneticAlgorithm.Theexampleshowsthat

thismethodiseffectiveandpracticaland

canbeused

toonline

optimizationandoperation.

IndexTerms--reactivepoweroptimization;inertiafactor;

sensitivity;

twostages;on-linecontrol

strategy

I.INTRODUCTION

IN

practicereactive

poweroptimizationofdistribution

systems,whileminimizingtheobjectiveofnetworkloss

andsatisfyingvarioussecurityconstraints,

asituation

can

occurwherethere

aretoomanyactionnumberforregulations

oftransformer

tapsandswitchesofcompensationcapacitors

inatime-interval,

ortoofrequentactiontimesforeach

equipmentintheentirecycleofdispatch,whichaffectsthe

usablelifeofequipmentandthesafetyofthesubsequent[1].

Iftheactiontimes

arerestrictedsimplyinthestatic

state

calculation,theequipmentswithgoodoptimizingeffect

may

prematurelyreachtherestrictedvalueoftheactiontimesin

thefirst

fewtimeintervalsintheoptimizeddispatchingcycle,

Thiswork

wassupportedbyNationalNaturalScienceFoundationof

China(60474070)

1

R.ZhouiswiththeCollegeofElectricalEngineering,Changsha

UniversityofScienceandTechnology,Changsha,

Hunan,410076,P.R.China

(e-mail:zrJ073

Inahotmailcom).

H.YangiswiththeCollegeofElectricalEngineering,Changsha

UniversityofScienceandTechnology,Changsha,

Hunan,410076,P.R.China

(e-mail:yhm52I8,a263.net).

Y.MaiswiththeCollegeofElectricalEngineering,ChangshaUniversity

ofScienceandTechnology,Changsha,

Hunan,410076,P.R.China(e-mail:

maywavesna6cr)

S.ShuiswiththeCollegeofElectricalEngineering,ChangshaUniversity

ofScienceandTechnology,Changsha,

Hunan,410076,P.R.China(e-mail:

hjj22@hotmail.com)

0-7803-9114-4/05/$20.00©2005IEEE.1resultingintheirstopofactioninlatertimeintervalsandeven

deterioratingoptimizationeffect.

Inthecurrentreferencesonthetimesandnumberof

regulationandcontrolaction,theDynamicProgramming

Approach[2]canhardlybeusedinaactuallarge-scale

distributionsystemowing

totheproblemofdimension

catastrophe;theTime-IntervalBasedApproach[3],which

reducesthenumberoftimeintervalsinthedispatchingcycle

byanalyzingthepredictedload

curveandisoptimizedoff-

line[4],isnotofthesuperiority,duetomoretimeinterval

divisionsneededforthedifferentloadchange

ateachnodes;

theDynamicReactive-PowerOptimizationAlgorithm[5],

carried

outdynamicallyfor

24hoursin

awholedayby

consideringtheconstraintofactiontimesforcontroldevices

usingthenonlinearoriginaldualinteriorpointsalgorithm,is

ofgreateroverallsignificancethanthestaticoptimization.

But

withthelarger

systemorthesmallerlimitvalueofaction

timesitis

moredifficultforcalculationand

convergence.

Soanovel

strategyisproposedforthecomprehensive

economyofoperatingandadjustingforreactive

power

optimalcontrolinthedistributionnetwork.Althoughthe

networklossisnotminimized,theequipmentdurablelifeand

systemstabilityhavebeenimproved,whichis

evenmore

economicalthan

amereminimumnetworkloss.The

comprehensiveeconomicbenefitsobtainedconsistinthe

decreaseofthenetworkloss,theequipmentaction

costand

thedisturbancesinoperation.

II.THE

MATHEMATICALMODELSOFTHETWO-STAGE

REACTIVEPOWEROPTIMIZATION

Thetwo-stageprocessingmethodisproposedfortheentire

reactivevoltagecomprehensivecontrolsystem.

A.Theconventionalmathematicalmodelfor

Pre-optimization

Thevolt-reactivepoweroptimizationrefers

tothe

determinationofthe

outputvoltageof

generator,the

tapofthe

on-loadvoltageregulatingtransformerandtheinputofthe

reactivecompensationequipment

onconditionthatall

constraints

aresatisfied

soastoachieveminimumactive

networklossofthe

systemandtheoptimizationofthevoltage

atallthenodes.Themathematicalmodelforconventional

reactivevoltagecomprehensivecontrolis

asfollows:

1)Theobjectivefunction

min

F=PLoss(QIXT)(1)