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Jan 4, 2013 - Real power loss of branch-j allocated to bus-l. PLOSS (jj) Real .... Savier and Das [11] have proposed a new loss allocation scheme for RDS ...
J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132 DOI 10.1007/s40031-012-0019-7

ORIGINAL CONTRIBUTION

A Simple Algorithm to Implement Active Power Loss Allocation Schemes in Radial Distribution Systems S. Mishra • D. Das • S. Paul

Received: 30 January 2012 / Accepted: 6 August 2012 / Published online: 4 January 2013  The Institution of Engineers (India) 2013

Abstract In this paper, a brief overview of various active power loss allocation methods is presented. ‘‘Exact Method’’ of loss allocation, suitable for radial distribution systems, is chosen for implementation. Simple bus identification techniques are proposed to implement load flow and loss allocation. A detailed algorithm with some useful MATLAB codes are included to form various proposed arrays to perform the load flow and then allocate losses to various buses. The results for a 30-bus and a 69-bus radial test distribution system are presented.

Tploss(jj,l) QL(p) NB NBr N(jj) Vp

Real power loss supported by consumer at bus-l Reactive power load at the pth bus Total number of buses Total number of branches = NB-1 Total number of buses beyond branch-j Voltage at the pth bus

Introduction Keywords Exact method  Loss allocation  Load flow  Radial distribution system Notations p ie(jj,i) I(jj) IL{ie(jj,i)} IL(p) PL(p) ploss(jj,l) PLOSS (jj)

Bus number Buses beyond branch-j, for i = 1,2…,N(jj) Current of branch-j Load current of bus ie(jj,i) Load current or equivalent current injection (ECI) at the pth bus Real power load at the pth bus Real power loss of branch-j allocated to bus-l Real power loss of branch-j

S. Mishra (&) Eastern Academy of Science and Technology, Bhubaneswar, India e-mail: [email protected] D. Das Indian Institute of Technology, Kharagpur, Kharagpur, West Bengal, India S. Paul Jadavpur University, Kolkata, West Bengal, India

Electricity supply industries worldwide are undergoing major structural changes with the objective of introducing competition and choice in electricity supply. These changes are motivated primarily by the belief that competition will bring better service, at a lower price to electricity consumers. The vertically integrated systems have been restructured and unbundled to one or more generation companies, transmission companies and a number of distribution companies. An essential condition for competition to develop is open access, on a nondiscriminatory basis, to transmission and distribution networks. The central issue in the concept of open access is setting an adequate price for transmission and distribution services. Moreover, there is ever-growing pressure for all components of costs to be clearly identified and assigned equitably to all parties taking care to avoid or minimize any temporal or spatial cross-subsidies. Thus, the cost of transmission and distribution activities needs to be allocated to the users of these networks. Allocation can be done through network use tariffs, with a focus on the true impact they have on these costs. Among others, distribution power losses are one of the costs to be allocated. The main difficulty faced in allocating losses is the nonlinearity between the losses and

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delivered power which complicates the impact of each user on network losses [1]. It is impossible to calculate the exact amount of losses in advance, without running a power flow. At the same time, even after computing the power flow solution, there is a strong interdependence among all the users, expressed by the presence of cross terms due to the fact that losses are a nearly quadratic function of the power flows. Hence, allocating the losses to the market participants cannot be carried out in a straightforward way. A literature review reveals numerous loss allocation techniques and can be classified by two criteria: by network type (transmission or distribution) and by the approach used (marginal, average and actual) [2]. Incremental transmission loss (ITL) allocation method [3] is in the category for transmission networks and based on marginal approach. Pro rata allocation [3], though the simplest method suitable for both transmission and distribution networks, is an example of average approach but fails to allocate in a fair way. Proportional sharing method [4–8] uses the results of converged power flow solution plus a linear proportional sharing principle. Z-bus method [9] and Succint method [10] are based on actual approach suitable for transmission networks, whereas Exact Method [11, 12] is a method of actual approach proposed for radial distribution networks. In general, a first distinction can be made between loss allocation methods dedicated to transmission and distribution systems. The difference between these two classes of methods basically lies in the role given to the slack bus. In transmission systems, the generator located in the slack bus compensates for all the losses and is explicitly considered in the mechanism of loss allocation. In radial distribution systems (RDS), the location of the slack bus at the root bus of the distribution tree is naturally unique, and the slack bus usually represents the connection to the higher voltage network. With the growing penetration of distributed generators (DG) in distribution networks suitable loss allocation methods [13– 15] are also proposed. In this paper, a simple algorithm is proposed to implement loss allocation techniques in RDS. Though, this algorithm can be easily modified for all types of loss allocation techniques suitable for RDS, the ‘‘Exact Method’’ of loss allocation [11, 12] for RDS is chosen for implementation due to its established superiority. Simple bus identification techniques are proposed to implement the load flow first by forward-backward sweep method [16] and then the results of the load flow are utilized to allocate losses to various buses of RDS. A detailed algorithm with MATLAB codes to form various proposed arrays, perform load flow and to allocate losses are included. Test results on a 30 bus RDS and a 69 bus RDS are presented. For better understanding of the algorithm, a complete flow chart is also included in the Appendix.

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J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

Methodology For the purpose of explanation, a sample radial distribution feeder as shown in Fig. 1 is considered. Here, branch numbers are shown in (.). The branch number, sending end and receiving end buses are also given in Table 1, which are the part of input data of the system. However, the last two columns of the table specify the number of buses beyond any branch-j, i.e. N(jj) and the subsequent buses to the branch-j, (ie(jj,i); i = 1, 2,…, N(jj)) respectively, which are to be calculated. The load current or equivalent current injection (ECI) at any bus p is given as: ILðpÞ ¼

PLp jQLp ; p ¼ 2; 3; . . .; NB Vp

ð1Þ

Consider branch-5 of Fig. 1. The number of buses beyond branch-5 is one and this is bus-6. Therefore, current through branch-5 is: Ið5Þ ¼ ILð6Þ

ð2Þ

Now consider branch-4. The total number of buses beyond branch-4 is two and these buses are 5 and 6, respectively. Therefore, current through branch-4 is: Ið4Þ ¼ ILð5Þ þ ILð6Þ

ð3Þ

Similarly, consider branch-3. Total number of buses beyond branch-3 is five and these buses are 4, 5, 6, 10 and 11. Therefore, current through branch-3 is: Ið3Þ ¼ ILð4Þ þ ILð5Þ þ ILð6Þ þ ILð10Þ þ ILð11Þ

ð4Þ

From Eqs. (2)–(4), it is clear that, if we identify the buses beyond all the branches and if the load currents or the ECIs of the corresponding buses are known, then it is extremely easy to compute the branch currents. Thus, the

Fig. 1 Sample distribution network with 12 buses

J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132 Table 1 Sample distribution system data

Branch no. (jj)

Sending end bus se(jj)

IðjjÞ ¼

Receiving end bus re(jj)

Total no. of buses beyond branch-jj N(jj)

Nodes beyond branch-jj ie(jj,i) i = 1,2,3……N(jj) 2,3,4,5,6,7,8,9,10,11,12

1

1

2

11

2

2

3

6

3,4,5,6,10,11

3

3

4

5

4,5,6,10,11

4

4

5

2

5,6

5

5

6

1

6

6

2

7

4

7,8,9,12

7

7

8

3

8,9,12

8

8

9

1

9

9

4

10

2

10,11

10

10

11

1

11

11

8

12

1

12

general expression of branch current through branch-j is given by: NðjjÞ X

125

 Let

Vi  Vj Vfieðjj; kÞg

 ¼ Afieðjj; kÞg þ j Bfieðjj; kÞg

Therefore, ILfieðjj; iÞg

ð5Þ

k¼1

PLOSSðjjÞ ¼ Real

(NðjjÞ ) X ðAfieðjj; kÞg þ j Bfieðjj; kÞgÞ: k¼1

ðPLfieðjj; kÞg  jQLfieðjj; kÞgÞ ð11Þ

Exact Method of Loss Allocation Savier and Das [11] have proposed a new loss allocation scheme for RDS, which is termed as ‘‘Exact Method’’. Mishra and Das [12] have used a similar approach for allocating losses in unbalanced RDS. The scheme is explained as below: Using Eqs. (1) and (5), the branch current of jth branch modifies to IðjjÞ ¼

ð10Þ

NðjjÞ X

PLfieðjj; kÞg  jQLfieðjj; kÞg Vfieðjj; kÞg k¼1

ð6Þ

Hence, PLOSSðjjÞ ¼

NðjjÞ X

Using Eq. (12) active power loss in branch-jj can be allocated to consumers beyond branch-j. Thus, active power loss of branch-j allocated to a consumer connected to bus {ie(jj,k)} is given by: plossfjj; ieðjj; kÞg ¼Afieðjj; kÞg:PLfieðjj; kÞg

ð7Þ

Using Eq. (6), the expression in Eq. (7) modifies to n XNðjjÞ PLOSSðjjÞ ¼ Real ðVi  VjÞ k¼1   ð8Þ PLfieðjj; kÞ  j QLfieðjj; kÞg g  Vfieðjj; kÞg Further arranging, (NðjjÞ   X Vi  Vj PLOSSðjjÞ ¼ Real Vfieðjj; kÞg k¼1 ðPLfieðjj; kÞ  j QLfieðjj; kÞgÞ g

ð12Þ

þBfieðjj; kÞg:QLfieðjj; kÞgÞ

Real power loss of branch-j with sending end voltage Vs, receiving end voltage Vr and branch current I(jj) is given by: PLOSSðjjÞ ¼ RealðVi  VjÞ :IðjjÞ

ðAfieðjj; kÞg:PLfieðjj; kÞg

i¼1

þ Bfieðjj; kÞg:QLfieðjj; kÞg for jj ¼ 1; 2; . . .NB  1

ð13Þ

and k ¼ 1; 2. . .NðjjÞ The global value of losses to be supported by consumer connected to bus-1 results from the sum of the losses allocated to it in each branch-jj of the network, which is given by (14). Tploss(‘) ¼

NB1 X

ploss(jj; ‘)

for ‘ ¼ 2; 3; . . .; NB

ð14Þ

jj¼1

Bus Identification Schemes ð9Þ

In order to implement the ‘‘Exact Method’’ of the loss allocation mentioned in the previous section, the execution

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J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

of load flow for the RDS is a prerequisite. Load flow gives the converged voltage magnitudes and active power losses in all the branches, which are then allocated to the various buses or consumers subsequent to the branch concerned using the ‘‘Exact Method’’ of loss allocation. To implement both the load flow and the loss allocation bus identification schemes are proposed as below. A vector array of dimension double the number of branches of a RDS, namely, adb(2*NBr) is introduced. This array would store all the adjacent or neighboring buses of each of the buses of the RDS. Adjacent buses of a particular bus mean the sending end or receiving end buses of all the connected branches of the bus, e.g. the adjacent buses of bus-4 in Fig. 1 are 3, 5 and 10, of which bus-3 is termed as the previous bus. Two other arrays mf() and mt() of dimension NB are introduced, which act as pointers of the adb() array. These arrays in turn govern the reservation allocation of memory locations for each bus, i.e. mf() and mt() point to the starting and end addresses in the adb() array respectively. The above mentioned scheme is explained with reference to the RDS of Fig. 1 and presented in Fig. 2. The arrays mf(), mt() and adb() can be formed from the input data. MATLAB codes to form these arrays from the input data are presented in appendix. Advantages of the Scheme •

An end bus can be easily identified. For an end bus-i,

mt½i  mf ½i ¼ 0

ð15Þ

Of course, the only exception is the substation bus, which is numbered as 1. Fig. 2 Contents of mf, mt, adb and pb arrays for the sample distribution system of Fig. 1

123



A junction bus can be identified as:

mt½i  mf ½i [ 1

ð16Þ

Similarly, an intermediate bus which is not a junction bus can be identified as: mt½i  mf ½i ¼ 1 •

ð17Þ

Given a bus-i, the previous bus-n can be identified as:

for k ¼ mf ðiÞ : mtðiÞ if adbðkÞ \ i n ¼ adbðkÞ; % n is the previous bus of i bus end

ð18Þ

end Using Eq. (18) all the previous buses corresponding to respective branches are identified and stored in an array pb(NBr). This is also explained in Fig. 2 for the sample RDS of Fig. 1. The application of the above scheme significantly reduces the search process in identifying the adjacent buses in a RDS. To implement any loss allocation scheme in a RDS, for every branch all the buses beyond the branch concerned are required to be known. For example, in Fig. 1 and Table 1, a term N(jj) is used to denote the number of buses beyond a branch-j and these are given by the terms ie(jj,i),where i = 1,2,3…..N(jj). Hence, two more arrays, namely, nsb() and sb() are introduced. The array nsb() stores the number of subsequent buses, N(jj), for all branches of the system and hence, has a dimension equal to the number of branches of the system i.e. NBr. The sb() array stores all the subsequent buses to each of the branches of the system. Two pointer arrays mfs() and mts() are also introduced to point to the starting and ending memory locations in sb()

J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

127 Table 2 Contents of mfs(),mts() and nsb() array

Fig. 3 30-node test radial distribution network

array corresponding to each branch of the RDS. The arrays mfs(), mts(), nsb() and sb() can be formed from the input data. MATLAB codes to form these arrays from the input data are presented in Appendix. Algorithm to Implement the Loss Allocation Scheme An algorithm is presented here to implement the ‘‘Exact Method’’ of loss allocation, where a forward backward sweep based load flow [16] of the RDS is first performed and the load flow results are utilized to implement the loss allocation scheme. The proposed bus identification schemes are followed here to implement the algorithm. STEP-1: STEP-2:

STEP-3:

STEP-4: STEP-5: STEP-6:

Read input data of the RDS. Using the data mf(), mt(), adb(), mfs(), pb(), nsb() and sb() arrays are formed (MATLAB codes are presented in Appendix). The branch losses are initialized to zero and all the bus voltage magnitudes and angles are initialized to 1 p.u and 0 radian, respectively. Set iteration = 0 and tolerance = 0.0001. ECIs are computed for all the buses using Eq. (1). All the branch currents are computed using Eq. (5) and sb() array as shown below:

for i ¼ 2 : NB for k ¼ mfsðiÞ : mtsðiÞ p ¼ sbðkÞ; I ði  1Þ ¼ Iði  1Þ þ ILð pÞ; end end

Branch no.

mfs(i)

mts(i)

nsb()

1

160

188

29

2

132

159

28

3

105

131

27

4

86

104

19

5

76

85

10

6

73

75

3

7

71

72

2

8

70

70

1

9

63

69

7

10

57

62

6

11 12

55 54

56 54

2 1

13

48

53

6

14

43

47

5

15

39

42

4

16

38

38

1

17

36

37

2

18

35

35

1

19

27

34

8

20

20

26

7

21

18

19

2

22

17

17

1

23

13

16

4

24

10

12

3

25

8

9

2

26

7

7

1

27 28

4 2

6 3

3 2

29

1

1

1

STEP-7: Set i = 2 STEP-8: A forward sweep is started to update the bus voltages. pb(i) is used to find the previous busn of bus-i and the voltage of bus-i is then updated using (i-1)th branch current, (i-1)th branch parameters and nth bus voltage. STEP-9: i = i ? 1 STEP-10: Check i = NB, if yes step-11 is followed. Else step-8 is followed. STEP-11: Iteration = iteration ? 1 STEP-12: Voltage convergence is checked for each of the bus voltage magnitude comparing it with the values of previous iteration. On convergence, step-13 is followed; else step-5 is followed. STEP-13: Branch power losses and total power loss are calculated. STEP-14: Initialize total allocated loss array Tploss(i) = 0, i = 2,…….NB.

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J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

Table 3 Contents of sb() array as identified by the algorithm for RDS of Fig. 3 S.no. (s)

sb(s)

Branch no.

S.no. (s)

sb(s)

Branch no.

1

30

29

48

14

13

2

29

28

49

15

3

30

50

16

97

4

28

5

29

6

30

7

27

26

8

26

25

9

27

10

25

11 12

26 27

13

24

60

28

107

6

154

12

14

25

61

29

108

7

155

13

15

26

62

30

109

8

156

27

16

27

63

10

110

9

157

28

17

23

22

64

11

111

14

158

29

18

22

21

19

23

20

21

67

28

114

17

161

3

21

22

68

29

115

18

162

4

22

23

69

30

116

19

163

5

23

24

70

9

8

117

20

164

6

24

25

71

8

7

118

21

165

7

25

26

72

9

119

22

166

8

26

27

73

7

120

23

167

9

27 28

20 21

74 75

8 9

121 122

24 25

168 169

14 15

29

22

76

6

123

26

170

16

30

23

77

7

124

27

171

17

31

24

78

8

125

10

172

18

32

25

79

9

126

11

173

19

33

26

80

14

127

12

174

20

34

27

81

15

128

13

175

21

35

19

18

82

16

129

28

176

22

36

18

17

37

19

38

17

39

16

40

27

24

23

20

19

S.no. (s)

sb(s)

Branch no.

S.no. (s)

sb(s)

Branch no.

95

18

4

96

19

142

17

2

143

18

20

144

19

51

17

98

21

145

20

52

18

99

22

146

21

53

19

100

23

147

22

54

13

12

101

24

148

23

55

12

11

102

25

149

24

56

13

103

26

150

25

104

27

105 106

4 5

57

11

58 59

12 13

10

9

3

151

26

152 153

10 11

65

12

112

15

159

30

66

13

113

16

160

2

6

5

83

17

130

29

177

23

84

18

131

30

178

24

16

85

19

132

3

179

25

15

86

5

133

4

180

26

17

87

6

134

5

181

27

41

18

88

7

135

6

182

10

42 43

19 15

89 90

8 9

136 137

7 8

183 184

11 12

44

16

91

14

138

9

185

13

45

17

92

15

139

14

186

28

46

18

93

16

140

15

187

29

47

19

94

17

141

16

188

30

123

14

4

2

1

J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

129

Table 4 Converged magnitudes and loss allocated to various buses (30 bus) Bus

Voltage magnitudes(p.u)

1

1.0000

0.0000

2

0.9647

6.0766

3

0.9433

9.4111

4

0.9337

0.8756

5

0.9299

2.3251

6

0.9255

3.7993

7 8

0.9227 0.9174

1.0358 1.7303

9

0.9127

16.1135

10

0.9225

4.2300

11

0.9202

5.8301

12

0.9200

3.2375

13

0.9199

1.0800

14

0.9217

2.6734

15

0.9145

4.7533

16

0.9085

5.1779

17

0.9071

13.3798

18

0.9069

7.7586

19

0.9063

4.1024

20

0.9256

0.9949

21

0.9172

4.7204

22 23

0.9130 0.9126

9.8173 3.3267

24

0.9109

10.3433

25

0.9072

6.1328

26

0.9056

3.4552

27

0.9049

2.6869

28

0.9186

4.4895

29

0.9177

3.3936

30

0.9166

2.5066

Total loss (kW) loss(kW)

Loss allocation(kW) (kW)

145.4575

STEP-15: Set i = 2 STEP-16: Find n = pb(i), the previous bus is identified and V(n)–V(i) is calculated. STEP-17: All subsequent buses to the branch (i-1) are identified from sb() array and loss in (i-1)th branch is allocated to the subsequent buses as per Eq. (13). for m ¼ mfsðiÞ : mtsðiÞ k ¼ sbðmÞ; A ¼ realðconjððVðnÞ  VðiÞÞ=VðkÞÞÞ; B ¼ imagðconjððVðnÞ  VðiÞÞ=VðkÞÞÞ; plossðkÞ ¼ A  PLðkÞ þ B  QLðkÞ; TplossðkÞ ¼ TplossðkÞ þ plossðkÞ; end

Fig. 4 Flow chart of the proposed algorithm

STEP-18: STEP-19:

Set i = i ? 1 and check i = NB, if yes step-19 is followed else step-16 is followed. Find the total loss allocated to all the buses and compare with the total loss as obtained from load flow in step-13.

A flowchart based on the earlier algorithm is presented in Fig. 4, which is included in the Appendix. Results In order to validate the proposed algorithm, a number of numerical examples are solved, out of which two cases are presented here. First, a physically existing 30 node, 11 kV RDS [11] as shown in Fig. 3 is considered to implement the ‘‘Exact Method’’ of loss allocation. The base voltage and base power are considered to be 11 kV and 100 kVA respectively. Based on the algorithm given, MATLAB codes are written to implement the load flow and the loss allocation scheme. The contents of mfs(), mts(), nsb() and sb()

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J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

Table 5 Converged magnitudes and loss allocated to various buses (69 bus) Bus

Volt. mag. (p.u)

Loss allocation (kW)

Bus

Volt. mag. (p.u)

Loss allocation (kW)

1

1.0000

0

36

0.9999

0.0011

2

1.0000

0

37

0.9997

0.0035

3

0.9999

0

38

0.9996

0

4

0.9998

0

39

0.9995

0.0073

5

0.9990

0

40

0.9995

0.0073

6

0.9901

0.0279

41

0.9988

0.0010

7

0.9808

0.8558

42

0.9986

0

8

0.9786

1.7750

43

0.9985

0.0068

9

0.9774

0.7500

44

0.9985

0

10

0.9724

0.8723

45

0.9984

0.0485

11 12

0.9713 0.9682

4.7453 5.3327

46 47

0.9984 0.9998

0.0485 0

13

0.9653

0.3226

48

0.9985

0.0634

14

0.9624

0.3523

49

0.9947

1.1252

15

0.9595

0

50

0.9942

1.2407

16

0.9590

2.1923

51

0.9785

0.9580

17

0.9581

2.9203

52

0.9785

0.0857

18

0.9581

2.9209

53

0.9747

0.1237

19

0.9576

0

54

0.9714

0.8432

20

0.9573

0.0498

55

0.9669

0.8918

21

0.9568

5.8619

56

0.9626

0

22

0.9568

0.2702

57

0.9401

0

23

0.9567

0

58

0.9290

0

24

0.9566

1.4495

59

0.9248

9.4055

25

0.9564

0

60

0.9197

0

26

0.9563

0.7292

61

0.9123

138.2678

27 28

0.9563 0.9999

0.7296 0.0010

62 63

0.9121 0.9117

3.5726 0

29

0.9999

0.0021

64

0.9098

26.0175

30

0.9997

0

65

0.9092

6.8057

31

0.9997

0

66

0.9713

0.5908

32

0.9996

0

67

0.9713

0.5908

33

0.9993

0.0097

68

0.9678

1.0414

34

0.9990

0.0215

69

0.9678

35

0.9989

0.0071

1.0414 224.9886

Total loss

arrays for the test RDS of Fig. 3, as identified by the program, are presented in Tables 2 and 3. Load flow for the RDS is carried out first. The load flow results are then used to allocate losses to the various buses of the RDS except bus-1 which is the substation bus. The load flow results i.e. the converged voltage magnitudes and the loss allocated to the various buses are presented in Table 4. The total real power loss of the system is 145.4575 kW which is also equal to the sum of total loss allocated to the various buses (consumers) of the RDS except bus-1, which is the substation bus. It is worthwhile to mention here that using the above algorithm with proposed bus identification scheme,

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Mishra, et al [17] have implemented other established loss allocation schemes suitable for RDS where the results are presented for comparison. The test results for another 12.66 kV RDS [18] having 69 nodes are also presented in Table 5. The real power loss of the system is 224.9886 kW, which is allocated to various customers successfully. Since, all the required arrays for any radial test system are formed only once before the load flow as mentioned in the step-2 of the given algorithm and the contents of these arrays are used again to allocate losses to various buses using the converged bus voltages obtained from the load flow (step-12 onwards), the CPU time for these steps

J. Inst. Eng. India Ser. B (September–November 2012) 93(3):123–132

contribute insignificantly to the overall execution time of the algorithm irrespective of the size of the test system. On the other hand, the contents of the sb() array rather help in computing the branch currents effectively (step-6) in every iteration of the load flow, enabling to reduce the overall execution time significantly.

131 Appendix continued % MATLAB codes to find mf(), mt() and adb() arrays from system data end mt(i) = s; if i \ nb mf(i ? 1) = mt(i) ? 1; end

Conclusion end

In the present work, a simple approach to implement ‘‘Exact Method’’ of loss allocation in RDS has been proposed. Some simple bus identification techniques have been introduced. A detailed algorithm to form various arrays, to execute load flow and to allocate losses to various buses has been presented. A complete flow chart of the algorithm is also included in the appendix for better understanding. Test results of a 30 bus and 69 bus RDS have been presented. The Exact Method successfully allocates the active power losses to the various buses (consumers). Though, in this paper the algorithm has been used to implement the ‘‘Exact Method’’ of loss allocation in RDS, however, this algorithm can be easily adapted to implement other loss allocation methods [17] to compare the performances. The adaptability of this algorithm to other application like feeder reconfiguration will be included in future research.

% MATLAB codes to find mfs(), mts(), nsb() and sb() arrays from system data a = 1; for i = NB:-1:2 sb(a) = 1; mfs(i) = a; if mt(i)-mf(i) == 0 nsb = 1; mts(i) = a; a = a ? 1; else nsb(i) = 1; for k = mf(i):mt(i) if i \ adb(k) n = adb(k); nsb(i) = nsb(i) ? nsb(n); for p = mfs(n):mts(n)

Appendix

a = a ? 1; sb(a) = sb(p); end

% MATLAB codes to find mf(), mt() and adb() arrays from system data

end end a = a ? 1;

mf(1) = 1;

mts(i) = mfs(i) ? nsn(i)-1;

s = 0; for i = 1:NB for p = 1:NB-1

end end

if i == se(p) % se() array holds all the sending end buses s = s ? 1; adb(s) = re(p); % re() array holds all the receiving end buses s = s ? 1; adb(s) = se(p); s = s-1; else if i == re(p) s = s ? 1; adb(s) = se(p); end end

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