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Impact of advanced inverter functions on low-voltage power grids

Mentens, Arjen; Chamorro, Harold R.; Jacobs, Valéry Ann; Topolánek, David; Drápela, Jiří; Martinez, Wilmar

Abstract

In today's power grid, a great number of inverter-based distributed energy resources (DERs) are connected and are mainly designed to supply power without considering the voltage and frequency deviations of the grid. Therefore, distribution system operators (DSOs) are challenged with an increase in grid events because of the random implementation of DERs. Voltage levels can vary beyond predefined limits at the point of connection and are currently not evaluated by DSOs. Summarized here is the development of a simulation model for evaluating the impact of support functions integrated in inverter-based DERs. The model aims to help grid operators simulate voltage and frequency events and study the impact of DERs to the grid with respect to different settings of integrated support functions. A model is developed in MATLAB/Simulink conforming to European standards and regulations. Grid dynamics can be evaluated by imitating voltage and frequency deviations. Support functions can be either adjusted according to the situation or turned off. Together with adjustable settings according to DSO request, this model offers flexibility and insight in the capabilities of DERs to solve voltage and frequency issues. Case studies show that the model corresponds to expected behaviour and can be used for further development.

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Recei ed: 12 Janua y 2021 - Re ised: 15 Ma ch 2021 - Accep ed: 28 Ma ch 2021 - IET Ene gy Sys ems In eg a ion DOI: 10.1049/esi2.12018 ORIGINAL RESEARCH PAPER Impac o ad anced in e e unc ions on low‐ ol age powe g ids A jen Men ens 1,2 |Ha old R. Chamo o 2 |Valé y Ann Jacobs 3 |Da id Topolánek 4 | Jiří D ápela 4 |Wilma Ma inez 2 1 Depa men o Enginee ing Technology (INDI), V ije Uni e si ei B ussel, B ussels, Belgium 2 Depa men o Elec ical Enginee ing (ESAT), Ka holieke Uni e si ei Leu en, Diepenbeek, Belgium 3 Depa men o Elec onics and In o ma ics (ETEC), Depa men o Applied Physics and Pho onics (TONA), Rec o a e, V ije Uni e si ei B ussel, B ussels, Belgium 4 Depa men o Elec ical Powe Enginee ing (UEEN), B no Uni e si y o Technology, B no, Czech Republic Co espondence A jen Men ens, Depa men o Enginee ing Technology (INDI), V ije Uni e si ei B ussel, B ussels, Belgium. Email: [email p o ec ed] Abs ac In oday's powe g id, a g ea numbe o in e e ‐based dis ibu ed ene gy esou ces (DERs) a e connec ed and a e mainly designed o supply powe wi hou conside ing he ol age and equency de ia ions o he g id. The e o e, dis ibu ion sys em ope a o s (DSOs) a e challenged wi h an inc ease in g id e en s because o he andom implemen a ion o DERs. Vol age le els can a y beyond p ede ined limi s a he poin o connec ion and a e cu en ly no e alua ed by DSOs. Summa ized he e is he de elopmen o a simula ion model o e alua ing he impac o suppo unc ions in eg a ed in in e e ‐based DERs. The model aims o help g id ope a o s simula e ol age and equency e en s and s udy he impac o DERs o he g id wi h espec o di e en se ings o in eg a ed suppo unc ions. A model is de eloped in MATLAB/Simulink con o ming o Eu opean s anda ds and egula ions. G id dynamics can be e alua ed by imi a ing ol age and equency de ia ions. Suppo unc ions can be ei he adjus ed acco ding o he si ua ion o u ned o . Toge he wi h adjus able se ings acco ding o DSO eques , his model o e s lexibili y and insigh in he capabili ies o DERs o sol e ol age and equency issues. Case s udies show ha he model co esponds o expec ed beha iou and can be used o u he de elopmen . 1 | INTRODUCTION The wo ld is looking o oppo uni ies o p oduce clean ene gy. While households accoun o o e 27% o o al ene gy de- mand, hey (indi ec ly) accoun o an agg a a ion o global wa ming [1]. The Eu ope 2020 s a egy includes a ge s o clima e change and ene gy, and go e nmen s a e p omo ing DERs wi h incen i es [2, 3]. Wo ldwide, all (powe ‐consuming) sec o s con ibu e o a ound 38% o ene gy‐ ela ed CO 2 emissions. Inc easing and s imula ing pho o ol aic (PV) p o- duc ion can signi ican ly educe hese emissions, as 1 kWh p oduced by PVemi s as li le as 15 g/kWh CO 2 compa ed wi h he global a e age o 475 g/kWh CO 2 [3]. While me ely 3% o elec ici y is gene a ed by PV, i a oids a ound 4.5% o powe sec o emissions. This is because o coun ies wi h high ca bon elec ici y gene a ion, such as China and India, ins alling a g ea amoun o PV powe [3–5]. In he pas , powe was only consumed bu ne e supplied by households. And hus, o a long ime, an on‐load ap change (OLTC) was he only mechanism necessa y o change local ol age le els. They ely on he ac ha he e is a uni o m ol age d op ac oss he powe lines. Un o una ely, hey no longe su ice. Due o he implemen a ion o in e e ‐based DERs, mos ly PV panels, he uni o m ol age d op has become less common, and ol age le els can a y in bo h di ec ions [6]. Si ua ions e en exis whe e PV panels a e p ohibi ed in pa s o he g id [7]. Ins ead o p ohibi ing hem, hey can become pa o he solu ion. Households a e supplying an amoun o powe ha can no longe be igno ed. I was ound ha ol age de ia ions will no occu when he a e age pene a ion pe household lies below 2.5 kW [8]. The s udy in [8] assumed a DER pene a ion le el o 0%–11.25%, bu pene a ion le els ha e isen o 22% [9, p. 13]. As a esul , ol age de ia ions a e occu ing mo e equen ly and wi h a highe ampli ude bu only impac he local g id [10]. Ins ead o ein o cing he g id, PV in e e s can become an impo an pa o g id suppo . Fo his eason, This is an open access a icle unde he e ms o he C ea i e Commons A ibu ion‐NonComme cial‐NoDe i s License, which pe mi s use and dis ibu ion in any medium, p o ided he o iginal wo k is p ope ly ci ed, he use is non‐comme cial and no modi ica ions o adap a ions a e made. © 2021 The Au ho s. IET Ene gy Sys ems In eg a ion published by John Wiley & Sons L d on behal o The Ins i u ion o Enginee ing and Technology and Tianjin Uni e si y. 426 - IET Ene gy Sys . In eg . 2021;3:426–436. wileyonlinelib a y.com/jou nal/esi2 egula ions ha e been implemen ed [11]. While PV is a clean al e na i e, i con ibu es only 2.9% o global elec- ici y demand. This indica es ha PV is no a comp e- hensi e solu ion o abandoning pollu ing powe ‐gene a ing acili ies. Ul ima ely, de elopmen o ene gy s o age (elec- ical, he mal, hyd ogen e c.) can play an impo an ole in s imula ing in es men s in enewable ene gy esou ces in gene al. The exponen ial g ow h o ins alled PV capaci y is a i s a gumen o how hese ins alla ions could impac he dis ibu ion g id and also why hey can and should be used as g id suppo . The wo ldwide cumula i e ins alled capaci y in 2008 was only 14.5 GW, while i exceeded 100 GW in 2012. Howe e , in 2018, a i e old le el was al eady ins alled. Following his end, i can be expec ed o each 1 TW by 2022 [3]. Dynamic models wi h ad anced unc ionali ies o con e e ‐based gene a ion a e c ucial o unde s anding he beha iou o he g id unde s essed ci cums ances [12, 13]. Howe e , such unc ionali ies b ing a ious challenges associ- a ed wi h inc eased pene a ion o DERs and hei g id in e - ac ion [14]. Sma in e e s wi h ol age and equency con ol abili ies a e aluable o DERs so hey can con ibu e o he g id wi h suppo unc ions and ancilla y se ices, such as eac i e powe con ol, aul ide‐ h ough, and ha monic compensa ion [15]. Many esea ch pape s ha e been published in ecen yea s ha discuss he ol age iola ion issues ha eme ge om he high pene a ion o in e e gene a ion in o he powe sys ems [16]. Fo ins ance, a es sys em adap ed om he medium‐ ol age dis ibu ion sys em in On a io, Canada, is s udied in [17], p o iding g id ol age suppo unc ionali ies. An op imized con ol s a egy o manage he eac i e powe esou ce gene a ed by in e e ‐based gene a ion is p esen ed in [18] o imp o e he quali y o he ol age dis- ibu ion ne wo k and ul il he la es echnical equi emen s lis ed by dis ibu ion sys em ope a o s (DSOs) in hei g id codes. A case s udy dealing wi h long‐ e m ol age ins abili y in sys ems hos ing ac i e dis ibu ion ne wo ks is epo ed in [19]. The documen ed simula ions show he e ec o he es o a ion o dis ibu ion ne wo k ol age. A hyb id con ol s a egy o suppo ing he ol age unde aul condi ions is p esen ed in [20], demons a ing he simul aneous mi iga ion o ol age sags by injec ing ac i e and eac i e powe o ide h ough he pe u ba ion and main ain g id ol age. Simila ly, a ol age egula ion scheme using a deadbea con olle ha helps o mi iga e as ol age dis u bances is p esen ed in [21] ha supp esses he ansien s in he sys em. The au ho s in [22] p opose a con ol scheme wi ha dynamic injec ion egion o he in e e sys em ha adap s o he se ‐ poin s assigned by a cen alized con olle . Simila ly, a con ol scheme ha op imizes he eal‐ ime ope a ion o ac i e dis i- bu ion ne wo ks while also conside ing he p o ision o ol age suppo as an ancilla y se ice o he ne wo k equi emen s in Swi ze land and in es iga e he ope a ional modes o he DER in e e s is p esen ed in [23]. The s a ic ol age con ol consid- e ing ol age‐ eac i e powe mode and dynamic and ex ensi e ol age con ol wi h maximum u iliza ion o DER capaci y and sys em s abili y a e s udied in [24]. As he p e ious con ibu ions discussed, a ious con ol s a egies exis and a e able o unc ion well unde di e en g id condi ions. Also, i shows ha applying a con ol s a egy depends hea ily on he chosen con ol me hod and pa ame e s. This pape discusses he de elopmen o a simula ion model o p o ide g id ope a o s wi h mo e insigh ega ding he e ec o in e e ‐based DERs. Since he con ol pa am- e e s can ha e a g ea impac on he g id esponse, he p o- posed simula ion model o e s lexibili y ega ding pa ame e choice. The es o his pape is o ganized as ollows. Sec ion 2 desc ibes he possible me hods o p o iding g id suppo . Sec ion 3p esen s he model design and implemen a ion in MATLAB and explains he impo ance o se ing he co ec ime cons an s. The simula ion esul s and discussions a e p esen ed in Sec ion 4. Finally, he conclusions a e gi en in Sec ion 5. 2 | METHODS FOR PROVIDING GRID SUPPORT 2.1 | Ac i e and eac i e powe compensa ion using in e e s As b ie ly men ioned abo e, he in eg a ion o DERs will esul in an inc eased ol age a he poin o connec ion (POC). Due o luc ua ing injec ion o powe (sola and wind powe a e no cons an ), he need o au oma ed solu ions is g owing, which implies ha (e en au oma ed) OLTCs a e no longe su icien . Using hese DERs o compensa e o low o high ol age is one o he mos commonly discussed me hods [6, 7, 25–30]. Figu e 1depic s an equi alen schema ic o a powe line. The esis ance and induc ance o he line co espond o he eplacemen R and L alue. The ol age in a ce ain poin is gi en by U¼ ðP;QÞ ð1Þ whe e dU¼∂U ∂P dPþ∂U ∂QdQð2Þ FIGURE 1 Powe line wi h R and L componen s o indica e esis ance and induc ance alues MENTENS ET AL. - 427 and ΔU¼U1−U2¼R⋅I2⋅cosφ2þX⋅I2⋅cosφ2ð3Þ wi h φ 2 he phase shi be ween ol age Uand cu en I 2 . To ew i e Equa ion (4) as a unc ion o P and Q, ΔU¼R⋅PþX⋅Q U2ð4Þ Equa ion (4) indica es ha he ol age d op ΔUis ela ed o he ac i e and eac i e powe . I can also be seen ha powe lines wi h a high R/X a io will expe ience mo e impac om a change in ac i e powe (P) han a change in eac i e powe (Q). Th ee main ypes o in e e —a s ing in e e , a mic o‐ in e e , and a cen al in e e —exis [31, 32]. A s ing in e e is based on sola panels connec ed in se ies. When one PV panel is shaded o mal unc ions, he en i e powe ou pu is limi ed by his one panel. A mal unc ioning PV panel can be eplaced, bu shade caused by ees can o en no be con olled by he owne . To o e come his, a mic o‐in e e can be ins alled ins ead. The PV panels a e connec ed in pa allel, and he e o e only he shaded o mal unc ioning panels a e limi ed in ou pu powe . The di e ence wi h a cen al in e e is i s size. Cen al in e e s a e mainly used in indus ial ins alla ions wi h ypical powe anges om 100 kW o 1 MW [32]. Due o i s size, hey a e no conside ed he e. The s udy in [31] also shows ha mic oin e e sys ems p esen be e pe o mances a bo h shaded and no ‐shaded condi ions. The main d awback o a mic oin e e is he highe cos . Howe e , acco ding o [33, p. 2885], he s ing in e e appea s o ha e a lowe pe ‐ wa capi al cos when jus he in e e is conside ed. Howe e , he in e e ep esen s only abou 15% o he en i e PV sys em cos whe eas he ins alla ion labou (…) cos accoun s o 40%, depending on he sys em con igu a ion and in e e echnology. These ac o s ha e made i di icul o pe o m a compa a i e cos s udy. The ollowing unc ions a e also known as ad anced in e e unc ions and a e discussed in [6, 34]. The se poin s a which hese unc ions a e deployed can di e acco ding o he local equi emen s. 2.1.1 | Ac i e powe compensa ion The possibili y o he in e e o abso b P when he e is o e ol age in he low‐ ol age (LV) g id is desc ibed as ac i e powe compensa ion. The in e e is se o s a abso bing ac i e powe when a h eshold ol age limi is me (e.g. a 3% o e ol age, he in e e shall s a his compensa ion). Fi s , i should be no ed ha his is only possible i a s o age sys em is p esen o abso b ac i e powe . I no , he in e e can educe i s P ou pu , and i necessa y, be disconnec ed om he g id. This will only happen in ex eme si ua ions. Also, being disconnec ed om he g id will cause a loss o income o he ene gy p oduce , so his should be a oided as much as possible. Second, his compensa ion is only a ailable un il he s o age sys em is ully cha ged o un il a h eshold cha ge is eached. 2.1.2 | Reac i e powe compensa ion In medium‐ ol age (MV) o LV g ids whe e he eac ance Xis impo an , Q(U) compensa ion is used. In o de o alle ia e a ol age d op caused by a g id e en , he in e e needs o p o ide a ce ain amoun o Q o he g id [26, 35]. A deadband a ound he nominal ol age le el is in oduced o p e en he in e e om swi ching be ween abso bing o deli e ing Q in a sho ime span [36]. 2.2 | Demand‐side managemen esul s in a educ ion o use com o Ins ead o limi ing he ou pu o an in e e , demand‐side managemen (DSM) ocuses on limi ing powe usage in case o high load and does he opposi e in case o high injec ion. Washing machines, ho wa e bu e s, and (in he u u e) elec ic ehicles may pose issues du ing peak hou s [37]. The pu pose is o pos pone he usage o hese appliances. In his manne , he load will be sp ead ac oss a g ea e amoun o ime. The amoun o pos poned powe is ep esen ed as lexibili y [38, 39]. DSM is seen as an impo an me hod o help mi iga e he e ec s o he inc easing sha e o unp edic able enewable en- e gy p oduc ion, he inc eased elec ical load due o ossil uel powe ed equipmen being eplaced by elec ical equipmen , and he dec easing in es men s in di ec ly con ollable ( ossil uel) plan s. To cla i y he p os and cons o DSM, he neces- si ies o a success ul implemen a ion and i s con ibu ion o blackou s a e discussed. 2.2.1 | Necessi ies Compa ed wi h using in e e s, he equi emen s a e mo e challenging. Fi s , sma appliances a e needed o con ol he powe usage acco ding o he ol age le el a he POC, which was measu ed by a sma me e . These appliances consis o pos ponable appliances, such as dishwashe s, washing ma- chines and umble d ye s, and bu e ed appliances such as ho wa e bu e s and elec ical ehicles. Ho wa e bu e s a e conside ed o ha e he mos in luence on lexibili y. Second, es amilies a e equipped wi h a home ene gy managemen sys em. In a case s udy, one g oup was asked o al e hei usage based on di e en ene gy a i s du ing he day and he 428 - MENTENS ET AL. o he g oup was equipped wi h an Au oma ed Home Ene gy Managemen Sys em [38]. Appliances wi hou sma capabil- i ies we e e o i ed wi h communica ion de ices o ensu e sma con ol. Sma appliances we e u ned on o o au o- ma ically, while basic com o , such as always being able o ake a ho showe , was s ill p o ided. Final, ene gy s o age can be in e es ing o PV owne s o p omo e sel ‐consump ion. I is no eally seen as a necessi y, as he p ice pe kWh as well as he kWh pe olume is s ill imp o ing. 2.2.2 | Demand‐side managemen as a solu ion o blackou s? Conside ing ha 18% o Flemish households hea hei wa e using elec ici y (ho wa e bu e s ha e he mos impac as men ioned abo e), ex apola ing his o he whole popula ion o Belgium, delayed powe usage would p o ide 207 MW o powe . Taking in o accoun he o he appliances (washing machines, elec ic ehicles e c.) adds up o 267.9 MW. Compa ing hese alues wi h he 725 MW s a egic ese e ha Belgian T ansmission Sys em Ope a o (TSO) Elia has o c ea e, i can be assumed ha , e en wi h a pa icipa ion g ade o 100% o households wi h ho wa e bu e s, he equi emen will no be me [38, 40]. Ne e heless, DSM can become an impo an pa o he solu ion. In Belgium, mos o he ol age suppo is p o ided by OLTCs. Once pe yea (o mo e, depending on he necessi y) he ap s and o he ans o me is changed o mee ol age limi s. This is done manually, bu mo e au oma ed solu ions a e being implemen ed. To complemen OLTC suppo , o e en ully eplace hem, in e e ‐based DERs can be used. Bo h P and Q suppo unc ions can be implemen ed o alle ia e ol age and equency de ia ions. Gi en he abo e, i is clea ha addi ional g id suppo unc ions should be implemen ed in in e e s o con ol ol age le els a he POC [11]. This should be ex ended om household DERs (e.g. PV panels) o in e e ‐based powe plan s. Be o e deploymen o suppo unc ions, ex ensi e es ing needs o be pe o med in o de o p e en e o s and op imize e ec i eness o implemen a ion. The lack o comp ehensible simula ion models makes i mo e di icul o pe o m plausible es s [25]. 3 | DESIGN AND IMPLEMENTATION USING MATLAB/SIMULINK 3.1 | In oduc ion Tes ing and modelling will be pe o med in MATLAB/Simu- link. Be o e i s implemen a ion, a basic LV g id model has o be de eloped. This model, as illus a ed in Figu e 2, consis s o a ol age sou ce, se e al loads ha simula e household o in- dus ial loads, and one o mo e DERs. The ope a o will be able o imi a e g id e en s by swi ching loads on and o o cause ol age de ia ions o by se ing he equency le el so ha he g id dynamics can be e alua ed. The ol age as a unc ion o he line leng h p o ides us insigh on he impac o DERs. An ac i e DER will cause a aised ol age nea he POC. In Figu e 2 his is shown as a posi i e e ec while he ol age le el s ays wi hin i s bounda ies o a longe line leng h. Issues will occu when mul iple DERs a e connec ed in an a ea whe e hey can ein o ce each o he 's beha iou . This may cause he maximum ol age le el o be exceeded. To esol e his, DERs should implemen unc ions o suppo he g id and change hei ou pu acco ding o ol age and equency le els [11, 25, 41]. Figu e 3depic s he simula ion model in one block dia- g am. Again, colou codes a e used o indica e he o igin o he se ings. The p ese cha ac e is ics consis o he P(U), P( ), Q (P), and Q(U) blocks. The measu emen s a e he ou pu o he equi alen g id model (see Figu e 4). The ime cons an s a e used as an inpu o he p ese cha ac e is ics and can be changed acco ding o DSO eques . The use se ings a e simula ion speci ic. On he one hand, a ol age and equency e o can be simula ed o compensa e o measu ing issues. On he o he hand, he minimum powe ac o can also be se . Needless o say, his will in eal li e be de i ed om he connec ion con ac be ween DSO and he owne o he in e e . 3.2 | Equi alen g id model The equi alen single‐phase g id model, as illus a ed in Figu e 4, is used as a ealis ic ep esen a ion o a g id. Since he ol age sou ce block is ideal ( his is he s anda d se ing in Simulink) a sou ce induc ance is added o compensa e o he sho ‐ci cui impedance o he second ans o me winding. The line impedance is calcula ed based on he line leng h, wi h a esis ance o 0.38 Ω pe km and an induc ance o 0.72 mH pe km. While his model ocuses on simula ing ol age de- ia ions by se ing he sou ce main ol age, only wo main loads o 9.2 kW a e used. A u he segmen a ion o loads should be made when he mu ual dis ance be ween households is o impo ance, and hus a line impedance be ween FIGURE 2 Basic in e p e a ion o dis ibu ed ene gy esou ce (DER) impac (Z =line impedance), (a) is wi h DER and has a posi i e impac , (b) is wi hou DER and ol age d ops below he limi a he end o he line MENTENS ET AL. - 429 households should also be added. The a o emen ioned alues o impedance and loads a e always unique o a speci ic si - ua ion and should be changed acco dingly when using his simula ion model o o he se ups. The alues o loads and PV sizes can be ob ained by alues gi en by he digi al sma me e . Simulink p o ides many use ul s anda d blocks. Simple cha ac e is ics, such as P(U), Q(P), and Q(U) cu es a e implemen ed using 1‐D lookup ables. The P( ) cha ac e is ic, implemen ed in laye 2, equi es ex a unc ionali ies. Mo e complex unc ions a e he e o e implemen ed using a combi- na ion o 1‐D lookup ables and MATLAB unc ions. 3.3 | Cha ac e is ics o con ol scheme 3.3.1 | P(U) cha ac e is ic I is necessa y o calcula e P(U) and Q(U) o calcula e I ampli ude and i phase . P is calcula ed by using a P(U) cha ac e is ic shown in Figu e 5. The ac ual implemen a ion is shown in Figu e 6. The ol age [p.u.] alues used o limi ing P can di e ac- co ding o DSO equi emen s. While mos egula ions a e based on p.u. alues, his model also uses he ol age p.u. as an inpu o he P(U) cha ac e is ic. The implemen a ion also equi es a limi in ou pu o p e en alues lowe han 0 and highe han 1. A e his, he P(U) cha ac e is ic ou pu is mul iplied by he a ailable P (P nominal mul iplied by an a ailabili y ac o , depending on uncon ollable a iables, e.g. sunligh ). The a ailabili y ac o can be used by he ope a o o limi he nominal powe ou pu caused by shadow, lack o sunligh , and so o h 3.3.2 | P( ) cha ac e is ic DERs can also ha e an impac on equency le els. A single DER will no ha e a isual impac , bu adding hem all FIGURE 3 This lowcha ep esen s he en i e simula ion model. All inpu s, measu emen s and calcula ions a e summa ized in one block diag am FIGURE 4 Equi alen single‐phase g id model. A isual ep esen a ion makes i s aigh o wa d o add o edi pa ame e s 430 - MENTENS ET AL. oge he will. To compensa e o his change in equency le el, he powe ou pu can be adap ed i o e ‐o unde - equency is p esen . The P( ) cha ac e is ic shown in Figu e 7is desc ibed in [41]. A alue h eshold is applied o main ain 0.6 p.u. P ou pu when equency eaches 51.1 Hz. To p e en equency le els om ising oo as again when equency d ops (P ou pu will also ise again), he P ou pu is limi ed o 0.6 p.u. un il he equency d ops below 50.1 Hz. 3.3.3 | Q(P) modes The ou pu o he P(U) o P( ) cha ac e is ic is used as an inpu o calcula ing Q(P). This can be calcula ed using di e en use ‐speci ic Q modes. The ollowing pa ag aphs explain all he con igu ed modes. In he simula ion model, a swi ch selec o de e mines which mode is cu en ly p e e ed. The applicabili y o Q(P) modes is no u he discussed, as his is beyond he scope o his pape . A speci ic case s udy wi h only changing he Q(P) mode could de e mine he mos sui able mode. Q(P) mode 1 The i s Q‐mode ou pu s he minimum alue be ween Q nominal and Q PFmin . The minimum powe ac o (PF) in he model is 0.85 bu can be changed by he ope a o . No e ha he P inpu o bo h subsys ems is di e en . Fo calcula ing Q nominal , a limi a ion in Q is no aken in o ac- coun ( he limi a ion being he a ailabili y ac o , depending on sunligh e c.). Q(P) mode 2 The second mode uses a a ying PF as a unc ion o P ou pu . Figu e 8illus a es ha he PF a ies om 0.9 o 1. The slope om 0.5 o 1.0 p.u. P can be changed acco ding o DSO o local equi emen s. Q(P) mode 3 The hi d mode uses PF nominal o calcula e he Q(P) ou pu . In his mode, he Q ou pu is always p opo ional o he P ou pu . Q(P) modes 4, 5, and 6 The emaining h ee modes a e he ollowing: �Q nominal calcula ed wi h PF nominal and P nominal , �cons an Q, �ze o Q when no Q suppo is expec ed. All six modes will ha e a di e en impac on ol age le els. The bes mode will di e acco ding o he si ua ion and he gene al ol age p o ile o he eede . Cu en ly, he p e e ed mode is chosen manually o be e e alua e he impac in speci ic si ua ions. Selec ing he Q‐mode wi h he lowes eac i e powe ou pu will be bene icial o he PV owne , bu less bene icial o suppo ing ol age le els a he POC. 3.4 | Q(U) cha ac e is ic The ou pu o he Q‐mode selec o is used o calcula e he ac ual Q ou pu . This calcula ion is done using a Q(U) cha - ac e is ic, shown in Figu e 9. FIGURE 5 P(U) cha ac e is ic wi h a linea ol age limi om 1.09 p.u. o 1.11 p.u. FIGURE 6 The me hod o implemen ing he P(U) cha ac e is ic in he model FIGURE 7 P( ) cha ac e is ic, p oposed in [41, p. 29] and implemen ed in simula ion model FIGURE 8 PF(P) cha ac e is ic indica ing a dec ease in PF when mo e han 0.5 P p.u. is deli e ed MENTENS ET AL. - 431 3.5 | Use o a iable ime cons an s in P(U), P( ), and Q(U) cha ac e is ics In o de o slow down he esponse o gene a ing uni s, addi ional delay in he o m o a i s o de low‐pass il e is in oduced. The P(U), P( ) and Q(U) cha ac e is ics use a di e en ime cons an . This ime cons an is changed manu- ally, bu in eal li e ope a ion i is eques ed by he ele an DSO. To o e mo e lexibili y ega ding ime cons an s, he Model Disc e ize (Simulink app) is used. A con inuous ime ans e unc ion can be con igu ed and is used o compu e he disc e e ans e unc ion. The ze o‐o de hold me hod is chosen, since his me hod uses he exac con inuous alue and holds i o (in his case) 0.02 s. The possibili y o changing he ime cons an , e en du ing simula ion, is in e es ing o compa ing he impac o di e en ime cons an s. Also, his can simula e he eques o DSOs. As men ioned abo e, a speci ic ime cons an can be eques ed by he DSO o in luence he impac o he DER. A smalle ime cons an will also b ing mo e isk, as his can cause oscilla ions due o sudden changes o a ail- able P and Q. 4 | SIMULATION RESULTS To alida e he simula ion model, andom alues o he ol age and equency se poin s (see Table 1) a e se o explain he ou pu and indica e he accu acy o imple- men a ion. Table 1summa izes he es condi ions. A ela- i ely la ge s ep size o 0.2 s is chosen o imp o e simula ion ime. Howe e , la ge sys em s udies can be pe o med wi h espec ing slow dynamics (in o de o seconds). These a e alid o bo h case s udies. An R/X a io o a ound 1 o 3 is usual in LV g ids [5]. In his case, a a io o a ound 2 is used. The eac ance X depends on he induc ance L and he equency . I is gi en by X¼ωLð5Þ whe e ω¼2π ð6Þ 4.1 | Case 1: unde ol age wi h o e equency Figu e 10 depic s he P( ) cha ac e is ic and he o e w i ing o he P(U) cha ac e is ic when he ol age le el is 0.94 p.u. o lowe (see Figu e 3). The o e w i e is implemen ed o p e en a bigge ol age d op when bo h unde ol age and o e - equency a e p esen a he same ime. A =4.58 s, he cu en limi is eached (see di e ence be ween calcula ed and measu ed P and Q ou pu ). This indica es one o he e- s ic ions o he in e e . No e ha his is also he bes ‐case scena io wi h an a ailable powe o 100%, hus ou pu po- we can e en be mo e es ic ed. A 2.00 s, o e equency occu s and P ou pu d ops acco ding o P( ) cha ac e is ic (see Figu e 7). A 4.04 s, ol age d ops below he le el, acco ding o Figu e 9, ha ac i a es he Q(U) cha ac e is ic. Vol age keeps d opping, and a 4.14 s, i eaches 0.94 p.u. and indica es an o e w i ing o he P( ) cha ac e is ic by he P(U) cha ac e is ic (see ∗bo om le in Figu e 3). Finally, a 4.58 s, a sa u a ion in FIGURE 9 Q(U) cha ac e is ic wi h he deadband as discussed in 2.1.2 TABLE 1Model se ings used in he case s udies Desc ip ion Value o se ing S ep size 0.02 s PF nominal 0.90 PF minimum 0.85 Q‐mode Q‐mode 1 (see 3.3.3) P nominal 10.00 kW P a ailable 1.00 p.u. P(U) τ0.40 s P( ) τ0.40 s Q(U) τ0.40 s Main sou ce ol age 414.00 V Line leng h 1.00 km Line esis ance 0.38 Ω/km Line induc ance 0.72 mH/km Two ex a loads Bo h o O e ol age se poin s [1.00 1.05 1.09 1.10 1.11] Unde ol age se poin s [1.00 0.98 0.96 0.94 0.92] Vol age e o 0.00% O e equency se poin s [50.00 50.50 51.10 50.50 50.00 50.00] Unde equency se poin s [50.00 49.80 49.50 49.00 50.00 50.00] F equency e o 0.00 Hz 432 - MENTENS ET AL. he in e e occu s and cu en is limi ed. The second pane indica es his as a di e ence be ween he calcula ed and ac ual powe ou pu . 4.2 | Case 2: o e ol age wi h o e equency Figu e 11 depic s he use o he minimum be ween P(U) and P ( ) cha ac e is ics o ol age le els o 0.94 p.u. o highe . S a ing om 4.04 s, he P(U) cha ac e is ic ou pu s less P and is he e o e de e mining he calcula ed P ou pu . A 2.00 s, o e equency occu s and P ou pu d ops acco ding o P( ) cha ac e is ic (see Figu e 7). A 4.04 s, he ol age exceeds 1.05 and ac i a es he Q(U) cha ac e is ic (see Figu e 9). No e ha case 2 ac i a es he opposi e side o he cha ac e is ic han case 1. A 6.04 s and 8.04 s, ol age eaches 1.11 p.u., and P and Q d op acco dingly o mi iga e he ol age iola ion (see Figu e 5). I also depic s he o e w i ing o he P( ) cha ac- e is ic by he P(U) cha ac e is ic (see ∗bo om le in Figu e 3). Finally, a 10.06 s, ol age is be ween he limi s—P FIGURE 10 Case 1: when bo h unde ol age and o e equency occu , he in e ac ion o he P(U) and P( ) cha ac e is ic can be deno ed. The simula ion pa ame e s a e se as de ined in Table 1 MENTENS ET AL. - 433 and Q ou pu s a e un es ic ed. This case is simila o o e - ol age wi h o e equency, as he P( ) cha ac e is ic is only ac i e be ween 2.00 s and 4.04 s. 5 | CONCLUSIONS This pape gi es a b ie o e iew o he ol age con ol me hods on LV powe g ids. The mos common suppo , ac i e and eac i e powe compensa ion using in e e s, is u he discussed. DSM is p omising bu equi es sma ap- pliances and household pa icipa ion. The e o e, i cu en ly is no a su icien solu ion. A li e a u e s udy iden i ies he p esen issues ha ol age con ol echniques a e acing. Con ol pa ame e s (such as he abili y o choose a Q(P) mode) a e o en ixed, which does no allow adequa e a ia ion when he simula ion model is used o de e mine he mos app op ia e solu ion o g id issues. The de elopmen in a isual simula ion model such as Simulink is he e o e ecommended. FIGURE 11 Case 2: when bo h o e ol age and o e equency occu , he minimum ou pu be ween P(U) and P( ) is chosen. Q ou pu is s ill con olled by he Q(U) cha ac e is ic. The simula ion pa ame e s a e se as de ined in Table 1 434 - MENTENS ET AL.