capicitor placement

5
Solving capacitor placement problem considering uncertainty in load variation M. Mukherjee , S.K. Goswami Electrical Engineering Department, Power System Section, Jadavpur University, Kolkata 700032, India article info Article history: Received 18 June 2013 Received in revised form 28 March 2014 Accepted 2 April 2014 Available online 13 May 2014 Keywords: Capacitor placement problem Load variation Uncertainty Interval arithmetic abstract The paper reports on the solution of the capacitor placement problem in distribution system considering uncertainty in the variation of loads. Solution techniques available in the literature generally consider load variation as deterministic. In the present paper uncertainty in load variation is considered using fuzzy interval arithmetic technique. Load variations are represented as lower and upper bounds around base levels. Both fixed and switchable capacitors have been considered and results for standard test sys- tems are presented. Ó 2014 Elsevier Ltd. All rights reserved. Introduction Shunt capacitors are used in distribution systems as a source of reactive power. If they are connected with proper location and size, load terminal voltage can be maintained within the acceptable limit and the line loss and total system cost can be reduced. As the load demand on distribution system may vary with time for effective compensation, capacitors are to be of fixed as well as switchable in nature, where a minimum capacitor kvar is always kept connected to the system (fixed capacitor) and additional capacitors are switched in or out as the load demand varies. Deter- mination of the size, location and type of such capacitors for a dis- tribution system is a complex optimization problem and requires information regarding the load variation of the system with time. Different solution techniques had been presented by many researchers in the past for solving the problem of placing capacitor in distribution system. Modified discrete PSO based solution was proposed in [3,20]. In [4,5], the capacitor placement was formu- lated as a mixed integer non-linear problem. [6,16,17] proposes Particle Swarm Optimization (PSO) based capacitor placement. Loss saving equation based technique was proposed in [7]. In [8] heuristics and greedy search technique based solution was pro- posed. Fuzzy reasoning based method was proposed in [9]. Simu- lated annealing was proposed in [15] and Genetic Algorithm based solution has taken in [10,24] respectively. Interior point based solution was proposed in [11,14]. Extended Dynamic Pro- gramming Approach was proposed in [12], Plant Growth Simulation Algorithm and using of loss sensitivity factor was proposed in [13], heuristic search and node stability based method was proposed in [18], and bacterial foraging solution was proposed in [21]. Hybrid honey bee colony algorithm based solution was proposed in [23] Uncertainty was taken into account in [19]. In all of the solution techniques load demand was assumed to follow a definite pattern-represented by a number of fixed load levels. In reality however, the load demand is quite uncertain and depends upon many factors in such a way that it is impossible to predict the actual load before the actual occurrence. Load fore- casts, based upon historic records of load variation can predict a coarse picture of the probable situation. The actual scenario may well deviate the predicted one by a considerable margin. Thus instead of load representation by a number of definite load levels, probabilistic variation of loads would be a better representation. The capacitor placement decision based upon the fixed pattern of load variation thus may lead to an inferior solution than the solu- tion where probability of load variation over the predicted one is considered. The present paper thus proposes a method to take uncertainty of the load variation in the capacitor placement problem. Problem formulation For a distribution network, the loss associated with the reactive components of branch currents can be written as P Lr ¼ X n i¼1 I 2 ri R i ð1Þ http://dx.doi.org/10.1016/j.ijepes.2014.04.004 0142-0615/Ó 2014 Elsevier Ltd. All rights reserved. Corresponding author. Tel.: +91 9734248638. E-mail address: [email protected] (M. Mukherjee). Electrical Power and Energy Systems 62 (2014) 90–94 Contents lists available at ScienceDirect Electrical Power and Energy Systems journal homepage: www.elsevier.com/locate/ijepes

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  • si

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    lutn oistiechnsw

    ibutionwith ptainedstem cstem mare toum c

    ed caphe load

    Loss saving equation based technique was proposed in [7]. In [8]heuristics and greedy search technique based solution was pro-posed. Fuzzy reasoning based method was proposed in [9]. Simu-lated annealing was proposed in [15] and Genetic Algorithmbased solution has taken in [10,24] respectively. Interior pointbased solution was proposed in [11,14]. Extended Dynamic Pro-gramming Approach was proposed in [12], Plant Growth

    Simulation Algorithm and using of loss sensitivity factor wasproposed in [13], heuristic search and node stability based method

    on than the solu-predicted one ismethod t

    acitor placproblem.

    Problem formulation

    For a distribution network, the loss associated with the reactivecomponents of branch currents can be written as

    PLr Xni1

    I2ri Ri 1 Corresponding author. Tel.: +91 9734248638.E-mail address: [email protected] (M. Mukherjee).

    Electrical Power and Energy Systems 62 (2014) 9094

    Contents lists available at ScienceDirect

    n

    .e lin distribution system. Modied discrete PSO based solution wasproposed in [3,20]. In [4,5], the capacitor placement was formu-lated as a mixed integer non-linear problem. [6,16,17] proposesParticle Swarm Optimization (PSO) based capacitor placement.

    load variation thus may lead to an inferior solutition where probability of load variation over theconsidered. The present paper thus proposes auncertainty of the load variation in the caphttp://dx.doi.org/10.1016/j.ijepes.2014.04.0040142-0615/ 2014 Elsevier Ltd. All rights reserved.o takeementmination of the size, location and type of such capacitors for a dis-tribution system is a complex optimization problem and requiresinformation regarding the load variation of the system with time.

    Different solution techniques had been presented by manyresearchers in the past for solving the problem of placing capacitor

    coarse picture of the probable situation. The actual scenario maywell deviate the predicted one by a considerable margin. Thusinstead of load representation by a number of denite load levels,probabilistic variation of loads would be a better representation.The capacitor placement decision based upon the xed pattern ofIntroduction

    Shunt capacitors are used in distrreactive power. If they are connectedload terminal voltage can be mainlimit and the line loss and total sythe load demand on distribution syeffective compensation, capacitorsswitchable in nature, where a minimkept connected to the system (xcapacitors are switched in or out as tsystems as a source ofroper location and size,within the acceptableost can be reduced. Asay vary with time forbe of xed as well asapacitor kvar is alwaysacitor) and additionaldemand varies. Deter-

    was proposed in [18], and bacterial foraging solution was proposedin [21]. Hybrid honey bee colony algorithm based solution wasproposed in [23] Uncertainty was taken into account in [19].

    In all of the solution techniques load demand was assumed tofollow a denite pattern-represented by a number of xed loadlevels. In reality however, the load demand is quite uncertainand depends upon many factors in such a way that it is impossibleto predict the actual load before the actual occurrence. Load fore-casts, based upon historic records of load variation can predict aInterval arithmeticSolving capacitor placement problem convariation

    M. Mukherjee , S.K. GoswamiElectrical Engineering Department, Power System Section, Jadavpur University, Kolkata

    a r t i c l e i n f o

    Article history:Received 18 June 2013Received in revised form 28 March 2014Accepted 2 April 2014Available online 13 May 2014

    Keywords:Capacitor placement problemLoad variationUncertainty

    a b s t r a c t

    The paper reports on the souncertainty in the variatioload variation as determinfuzzy interval arithmetic tbase levels. Both xed andtems are presented.

    Electrical Power a

    journal homepage: wwwdering uncertainty in load

    32, India

    ion of the capacitor placement problem in distribution system consideringf loads. Solution techniques available in the literature generally considerc. In the present paper uncertainty in load variation is considered usingique. Load variations are represented as lower and upper bounds around

    itchable capacitors have been considered and results for standard test sys-

    2014 Elsevier Ltd. All rights reserved.

    d Energy Systems

    sevier .com/locate / i jepes

  • Nomenclature

    PLr active power loss of the system associated with thereactive components of branch currents for original sys-tem

    Iri reactive component of branch current of the ith branchfor original system

    Irinew reactive component of branch current of the ith branch

    for compensated systemRi resistance, respectively of the ith branchIril, Iriu lower and upper limit of Iri respectively

    Ic reactive current drawn by the capacitorPLrcom active power loss of the system associated with the

    reactive components of branch currents for compen-sated system

    S loss savingVm magnitude of voltage of bus m before compensationk number of capacitor busesQc capacitor sizeVc voltage magnitude vector of capacitor bus

    M. Mukherjee, S.K. Goswami / Electrical Power and Energy Systems 62 (2014) 9094 91where Iri and Ri are the reactive component of branch current andresistance, respectively of the ith branch.

    But, actually Iri is not of xed value. Because, the load variationin any power system cannot be truly represented by a single loadcurve. Conventional way of representing load variation by a singleload curve basically represents the mean of load variation. A betterrepresentation would be to use a curve like Fig. 1, where instead ofrepresenting by a mean variation, the range of variation is shown.So in the load duration curve, each load level is represented by arange of load levels (like Fig. 2) rather than a single load. So it isbetter to represent Iri as

    Iri Iril; Iriuwhere Iril and Iriu are lower and upper limit of Iri respectively.

    Because of this variation in this pattern of the loads, the loss PLrshould be considered as an interval quantity instead of xed quan-tity. Therefore, in capacitor placement problem every quantityshould be considered as an interval quantity. For this purpose basicoperation of interval number is to be known which is described inthe next section.

    Interval arithmetic

    An interval number X = [xl, xu] is the set of real numbers x suchthat xl 6 x 6 xu; xl and xu are known as the lower limit and upperlimit of the interval number, respectively. A rational number k isrepresented as an interval number K = [k, k].

    Let X = [xl, xu] and Y = [yl, yu] be the two interval numbers.Then addition, subtraction, multiplication and division of thesetwo interval numbers are dened as below [22]:

    X Y xl yl;xl yu 2

    X Y xl yu;xu yl 3X Y minxl yl;xl yu; xu yl;xu yu;maxxl yl;xl yu;xu yl;xu yu 4

    Fig. 1. Load curve considering load variation.X Y X Y1 5where

    Y1 1=yu;1=ylif 0 R yl;yu 6Also, the distance between these two interval numbers is

    dened as [24]:

    qX;Y maxjx1 y1j; jx2 y2j 7For power system application, calculations involving complex

    numbers, rather than real numbers are needed. Hence, in the nextsub-section, basic operations involving complex interval numbersare presented.

    Complex interval number

    Any complex number Z = X + iY; where i is the complex opera-tor, is said to be a complex interval number if both its real part(X) and the imaginary part (Y) are interval numbers. Hence, X canbe represented as X = [x1, x2] and Y can be represented asY = [y1, y2], where, x1, y1 are the lower limits and x2, y2 are theupper limits, respectively. The conjugate of a complex intervalnumber is given by Z = X iY: Let Z1 = A1 + iB1 and Z2 = A2 + iB2be two complex interval numbers. Then the addition, subtraction,multiplication and division of these two complex interval numbersare dened as [22]

    Z1 Z2 A1 A2 iB1 B2 8

    Z1 Z2 A1 A2 iB1 B2 9

    Z1 Z2 A1 A2 B1 B2 iA1 B2 A2 B1 10

    Z1 Z2 C iD 11

    where C = (A1 A2 + B1 B2) (A22 + B22) and D = (A2 B1 A1 B2) (A22 + B22).

    Fig. 2. Load duration curve considering load variation.

  • oweIt is to be noted that, Eqs. (8)(11) can be evaluated by applyingthe fundamental operations as dened in Eqs. (2)(5).

    Solution technique of the capacitor placement problem

    The solution of the capacitor placement problem has two com-ponents the location of the capacitor and the size of capacitor ateach location. It is obvious that, location of buses must be a xednumber. So to nd the location, the method described in [7] is usedwhere only the base load will be considered. Once the location isknown, interval load will be used to nd the size of the requiredcapacitor.

    Determination of location

    A radial distribution system with n branches is considered here.Let a capacitor C is placed at busm (except the source bus) and a bea set of branches connected between the source and capacitorbuses. The capacitor draws a reactive current Ic and as it is a radialnetwork it changes only the reactive component of current ofbranch set a. The current of other branches (Ra) is remainunchanged. Thus, the new reactive current Irinew of the ith branchis given by

    Inewri Iri Di Ic 12where

    Di 1 if branch i 2 a 0 otherwise

    Here Iri, is the reactive current of the ith branch in the original sys-tem obtained from the load ow solution. The loss PLrcom, associatedwith the reactive component of branch currents in the compensatedsystem (when the capacitor is connected) can be written as

    PcomLr Xni1

    Iri Di Ic2 aRi 13

    The loss saving S is the difference between Eqs. (1) and (13) andis given by

    S PLr PcomLr Xni1

    2Di Iri Ic Di Ic2 Ri 14

    The capacitor current Ic, that provides the maximum loss savingcan be obtained from

    @S@Ic

    Xni1

    2Di Iri Ic Di Ic2 Ri 0 15

    Thus the capacitor current for the maximum loss saving is

    Ic Xni1

    Di Iri Ri !, Xn

    i1Di Ri

    !

    Xi2a

    Iri Ri ! X

    i2aRi

    !,16

    The corresponding capacitor size is Qc Vm Ic 17Here Vm is the magnitude of voltage of bus m before compensation.The above steps are repeated for all the buses (except the root bus)to get the highest possible loss saving for a singly located capacitor.The bus for which highest loss saving is obtained is termed as can-didate bus. When the candidate bus is identied and compensatedusing Eq. (17), the above technique is again used to identify the next

    92 M. Mukherjee, S.K. Goswami / Electrical Pand subsequent candidate buses. That will provide only the loca-tions where the capacitors are to be placed. Obviously capacitorsobtained from Eq. (17) are local optimal value. So they are not use-ful when more than one capacitor is to be placed. So the size of mul-tiple capacitors for optimal location is to be determinedsimultaneously and the procedure of nding optimal sizes isdescribed in the following sections.

    Size of capacitors for interval load

    Here also the method described in [7] is used with a differentmanner. First load ow solution is done taking interval load [1,2].This will provide lower and upper limit of all the branch currents.Let the followings are considered:

    k = number of capacitor busesIc = k-dimensional vector consisting of capacitor currents.

    Actually Ic = [Icl, Icu], where Icl and Icu are the lower an upperlimit of Ic respectively.

    aj = set of branches from the source bus to the jth capacitor bus(j = 1, 2, . . ., k)D = a matrix of dimension n k

    The elements of D are considered as

    Dij 1; if branch i 2 a 0; otherwiseWhen the capacitors are placed in the system, the new reactive

    component of the branch current is given by,

    Inewri Ir D Ic 18As Ir and Ic are interval number, Irinew will be also interval

    number.The loss PLrcom associated with the new reactive currents in the

    compensated system is

    PcomLr Xni1

    IriXkj1

    Dij Icj !2

    Ri 19

    The loss saving S obtained by placing the capacitors is the differ-ence between Eqs. (1) and (19) and is given by

    S Xni1

    2Iri Xkj1

    Dij IcjXkj1

    Dij Icj2 !" #

    Ri 20

    The optimal capacitor currents for the maximum loss saving canbe obtained by solving the following equations:

    @S@Ic1

    0@S

    @Ic2 0

    . . .

    . . .

    @S@Ick

    0 21

    After some mathematical manipulations, Eq. (21) can beexpressed by a set of linear algebraic equations as follows:

    A Ic B 22where A is a k x k square matrix and B is a k-dimensional vector. Theelements of A and B are given by

    X X" #

    r and Energy Systems 62 (2014) 9094Ajj Ajjl;Ajju i2aj

    Ri;i2aj

    Ri 23

  • Ajm Ajml;Ajmu X

    i2aj\amRi;

    Xi2aj\am

    Ri

    " #24

    where Ajjl and Ajju are the lower and upper limit of Ajj; and Ajml andAjmu are lower and upper limit of Ajm and both are same as branchparameters are considered to be xed.

    Bj Bjl;Bju Xi2aj

    Iril Ri;Xi2aj

    Iriu Ri" #

    25

    where Bjl and Bju are lower and upper limit of Bj respectively. Also Iriland Iriu are lower and upper limit of branch reactive current

    would have a lower and upper limit.

    Solving interval load ow, lower and upper limits of B matrix isobtained as

    result is summarized in Tables 3 and 4.

    lower load level. So the switched capacitor placement problem issolved starting from the lowest load level and the capacitorinstalled at a lower load level will be considered as xed capacitorsfor all the higher load levels. The method is applied for the same 10bus system. The load duration data are given in Table 5. It isassumed that the substation voltage is 1.05 p.u. at peak load condi-tion and 1.0 p.u. during the remaining periods [4]. The result issummarized in Tables 6 and 7.

    From the results interval of bus voltages, required capacitorkVAR, system cost of the compensated are obtained by which allthese thing are whether in an acceptable limit or not can bedetermined

    Table 2Possible choice of capacitor sizes and cost/kVAR.

    Sl. No. 1 2 3 4 5 6kVAR 150 300 450 600 750 900($/kVAR) .500 .350 .253 .220 .276 .183

    Sl. No. 7 8 9 10 11 12

    Table 3Required capacitor for 10-Bus system.

    Bus no. Capacitor size(kVAR)

    Lower limit Upper limit

    M. Mukherjee, S.K. Goswami / Electrical Power and Energy Systems 62 (2014) 9094 93Numerical results

    The proposed method is tested for 10 bus system. The load andbus data is given in Table 1 which is considered as base load. Costof energy is taken as 0.06 $/kW h and capacitor cost is obtainedfrom Table 2[9]. In this work the nearest value of the capacitor cor-responding to Appendix-2 is taken, so that the cost of the capaci-tors can be calculated. For interval load, 5% of the base load istaken.

    Using Eqs. (14) and (17), corresponding loss saving is calculatedfor each and every bus except the source bus i.e. Bus No. 0. Then itis noticed that highest loss saving can be achieved if Bus No. 4 iscompensated with a capacitor of size 3998.5 kVAR and total losssaving of 81 MW is obtained. So this bus is compensated withthe capacitor of 3998.5 kVAR. After that repeating the same pro-cess it is observed that highest loss saving is achieved if Bus No.8 is compensated with capacitor of 852.09 kVAR and total loss sav-ing of 14 MW is obtained. After that no such signicant loss saving

    Table 1Data for 10-Bus system.

    From bus To bus Impedance Load connected at to bus

    R (ohm) X (ohm) kW kVAR

    0 1 0.1233 0.4127 1840 4601 2 0.0140 0.6051 980 3402 3 0.7463 1.2050 1790 4463 4 0.6984 0.6084 1598 18404 5 1.9831 1.7276 1610 6005 6 0.9053 0.7886 780 1106 7 2.0552 1.1640 1150 607 8 4.7953 2.7160 980 130respectively.Only the branch resistances and reactive currents in the original

    system are required to nd the elements of A and B. The capacitorcurrents for the highest loss saving can be obtained as

    Ic A1 B 26As A and B are both interval quantity, R.H.S. of this equation is

    interval quantity. So the value of Ic will be in the form [Icl Icu],where Icl and Icu are lower and upper limit of capacitor currentrespectively.

    Once the capacitor currents are known, the optimal capacitorsizes can be written as

    Qc Vc Ic 27Here Vc is the voltage magnitude vector of capacitor buses, whosevalue is like [Vcl, Vcu], where Vcl and Vcu are lower and upper limitof Vc respectively. So Qc will be also an interval number which8 9 5.3434 3.0264 1640 200

    Bus 0 is the substation node, the voltage of which is xed at 23 kV.This method can be also applied to solve the switched capacitorplacement problem. It is assumed that the variation of the load isconformal [4,5], the capacitor kVAR required in a particular loadlevel should be at least equal to that required at the immediateApplication to switched capacitor placement problemconsidering load uncertaintyBlowerlimit 0:01400:0361

    p:u: and Bupperlimit

    0:1130:0265

    p:u:

    So the lower and upper limit of required capacitor value nearerto Appendix-2 is obtained as 2700 kVAR and 3300 kVAR for Bus No.4 and 750 kVAR and 1050 kVAR for Bus No. 8 respectively. Thecan be achieved using this process. So it can be concluded thatoptimal location is 4 and 8.

    Then A matrix is formed as

    A 0:0060 0:00600:0060 0:0428

    p:u:

    kVAR 1050 1200 1350 1500 1650 1800($/kVAR) .228 .170 .207 .201 .193 .187

    Sl. No. 13 14 15 16 17 18kVAR 1950 2100 2250 2400 2550 2700($/kVAR) .211 .176 .197 .170 .189 .187

    Sl. No. 19 20 21 22 23 24kVAR 2850 3000 3150 3300 3450 3600($/kVAR) .183 .180 .195 .174 .188 .170

    Sl. No. 25 26 27kVAR 3750 3900 4050($/kVAR) .183 .182 .1794 2700 33008 750 1050

  • instead of sequential solution. This may be done by using robustoptimization technique which is being pursued by the authors atpresent.

    Table 4Comparison between original system and compensated system (10 Bus).

    Original system Compensated system

    Active powerloss (kW)

    Lowerlimit

    Upperlimit

    Active powerloss (kW)

    Lowerlimit

    Upperlimit

    629 974 521 941

    94 M. Mukherjee, S.K. Goswami / Electrical Power and Energy Systems 62 (2014) 9094Annual cost ($) Lowerlimit

    Upperlimit

    Annual cost ($) Lowerlimit

    Upperlimit

    105,672 163,632 88,240 158,900

    Table 5Load duration data for the test system.

    Load level 1 2 3

    Per unit load 0.3 0.6 1.1Load duration (h) 1000 6760 1000

    Table 6Required capacitor for 10-Bus system for different load level.

    Load level Bus No. Capacitor sizes(kVAR)

    Lower limit Upper limitConclusion

    The present paper reports a new formulation of the capacitorplacement problem considering uncertainty in the variation of dis-tribution system load. Unlike the conventional approaches of con-sidering the load variation by simply using a number of load levels,the present paper represents the load variation by upper and lowerbounds of the loads at different load levels and introduces intervalarithmetic to incorporate the effect of such variation in the solu-tion of the capacitor placement problem. As the basic aim of thepaper is to introduce the interval arithmetic technique in thecapacitor placement problem, the solution approach had beenmade simple by separating the problem of placing and sizing ofcapacitors. The capacitor locations are rst selected based uponthe sensitivity of capacitor introduction at the location. Once loca-tions are determined, the size is then found out. The problem how-ever is not decoupled and should rather be solved simultaneously

    1 4 750 9008 150 150

    2 4 1650 18008 450 450

    3 4 3000 34508 750 1050

    Table 7Comparison of system cost between original system and compensated system (10Bus).

    Original system Compensated system

    Lower limit Upper limit Lower limit Upper limit

    $95,809 $126,820 $88,900 $116,990References

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    Solving capacitor placement problem considering uncertainty in load variationIntroductionProblem formulationInterval arithmeticComplex interval number

    Solution technique of the capacitor placement problemDetermination of locationSize of capacitors for interval load

    Numerical resultsApplication to switched capacitor placement problem considering load uncertaintyConclusionReferences