高压配电网无功补偿配置原则的优化(4)

 

tion

ofreactivepm陀r/voltagecontrolmismatchandco卜

respondingsystemdevelopment

[J].Joumal

0fsouth

ChinaUniversit)rofTechnology:NaturalScienceEdition,

2013,4l(5):99一104.

张勇军,任震,钟红梅,等.基于灾变遗传算法的无功规划优化[J].电力系统自动化,2002,26(23):1—4.

ZhaIlg

Yong-jun,Ren

Zhen,ZhongHong—mei,eta1.0pti-

mizationofreactivepowerplaIlIIingbased

on

cataclysmic

genetic

algorithm[J].Power

systemAutomation,2002,

26(23):l-4.

[12][13][14][15]

[16]

[17][18]


华南理工大学学报(自然科学版)第42卷

VoltageDistribution

Networb

劢口ngya喈乒n

(School

ofElectric

铂en玩n

Guangdong

Province,

Power∥KeyLaboratoryofcleanEnergyTechn0109yof

SouthChinaUniversityofTbchnology,Guangzhou510640,Guangdong,China)

Abstract:Inthis

paper,first,higIl

v01tage

dist曲utionnemorks

are

classifiedaccording

to

are

theirloadandreactiveadoptedfordifferent

as

powercharacteristics,anddifferentreactivepowercompensationconfigurationschemes

kindsofnetworks.Then,bytakingthehighVoltagedistributionnetworkswithsmaⅡhydmpower

theIesearchob—

jectiVe,a

modelofreactiVepowerplanningconsideringthecapacitiVeandinductiVeIeactiVepowercompensation

net-

con69urationsisproposed,whichmeetsthedemandsofthereactivevoltagecontrolofhighvoltagedistributionworkswitllsmallhydropower.Moreover,anindexbythe

to

n砌e

ofthereactiVepowercoIl|igu阳tion阳tioisputforward

helpselecttllereactivepowercompensationco—igurationfbrdiH’erenttypesofsubstations,aIldthepIinciplesof

aIldinductiVereactivepowercompensation

c印acitiVe

actiVeofthe

co诚gurations

are

optiIIlizedand

I曲ned

forthehighVoltagedis-

re-

tributionnetworks.Casesanalysisshowsthatt}leseprincipleshelp

to

improvetheabilityofthevoltagecontroland

p佣惯balancee印acitiVe

duringthereactivepowerconfigumtion,redueethenetw0?rk10ss.andavoidexcessiveinvestment

thereactivepower

caIl

reactivepowercompensation.Inaddition,withmehelpofthe

are

coⅢigurationratiosoffollrkinds0fhighvoltagedistributionnemorksprinciplesofthereactivepowercompensationcollfigumtionforKeywords:small

obtained,which

beused

as

detailed

hig}l

voltage

dist曲ution

networks.

hydropower;high

voltagedistributionnetwork;reactiVepowerco—igurationprinciple;capaci—

tivereactiVepowercompensationco—jguration;inductivereactivepowercompensationcordjguration

(上接第16页)

DSP+CPLD-Basedlngh-PowerEf6cieIltChargingPower

Supplyfor

DHGMi-ping

ElectricVellicles

Ck凡.s^眦昭Hezh_eng—clongzh帆g

80

(SchoolofE1ectricPower,SoutIlchinauniversityofTechnology,Gu锄gzhou

510640,Gu柚gdong,china)

Abst豫ct:When

ous

h锄onicpoUution

multiple

chargingmodules叩erateinparallel,thereexistssuchproblems

or

as

lowe伍ciency,seri—

cars

andlightloadint}lelatercharlgingstage

to

on

inthe

case

of

harging

electric

witllsmaller

ve—

batterycapacity.InorderhiclesisdeVelopedbased

solVethisproblem,aZVZCShigh—powercharlgingpowersupplymoduleforelectricDSP+CPLD,and

an

experiment

platfo珊with

to

an

outputpowerof288kW(600

v/

480A)isconstmcted.Then,anoVelparallelcontrolstrategyispmposedforelectricVehicleswiththeleastthethe

ensure

the

cha蟛ngcun_ent(voltage)

char舀ngmodules.Exp耐mental

resuhsshowthat,when

sin—e

modulemns,inp盯allel,

eontrol

cha晒ng

charging

powerefficiencyisupto96.5%underpowere伍ciencyalwaysmaintainsat

fuUload;andthat,whenmultiplemodules

11lns

above90.0%,whichmeansthattheproposed

p眦Uel

strategyiscon.ectandfeasible.

Keywords:high—poweremcient

charging

powersupply;electricVehicle;paraUelcontI.01

万方数据


高压配电网无功补偿配置原则的优化

作者:

作者单位:

刊名:

英文刊名:

年,卷(期):张勇军, 陈艳, Zhang Yong-jun, Chen Yan华南理工大学电力学院∥广东省绿色能源技术重点实验室,广东广州,510640华南理工大学学报(自然科学版)Journal of South China University of Technology(Natural Science Edition)2014,42(6)

1.李世伟 小水电上网对配电网的影响 2012(04)

2.Jarry-Bolduc D;Cote E Hydro energy generation and instrumentation & measurement hydropower plant efficiencytesting 2014(02)

3.Borkowski D;Wegiel T Small hydropower plant with integrated turbine-generators working at variable speed 2013(02)

4.Schaeffer R;Szklo A;Frossard Pereira De Lucena A The vulnerable Amazon:the impact of climate change on theuntapped potential of hydropower systems 2013(03)

5.李世伟;葛珉昊;金俞斌 小水电集中上网对电网的影响分析 2012(08)

6.Wei Yan;Fang Liu;Chung C Y A hybrid genetic algorithm-interior point method for optimal reactive power flow2006(03)

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