Optimal Allocation of Fixed and Switched Capacitors for Unbalanced Radial Distribution Feeders Using Artificial Intelligence-Based Approach*


*J.C. Miras, Undergraduate Student Project, Department of Electrical and Electronics Engineering, University of the Philippines, Diliman,(2004)


Implementation, Testing and Results (continued)
Test case 2
To verify the validity and effectiveness of the proposed methodology, the test system used in test case 1 was again solved, but for this particular case, the load duration curve was discretized into four load levels to account the varying load of the system as a function of time. Since there is no over-voltages and over-compensation for fixed capacitor alone, we expect a solution close or almost similar to what have been solve in test case 1, that is, the capacitor compensation must be approximately fixed or mostly not switching over time. Similar to test case 1, only balanced capacitor sizes will be placed at any possible location.

Representation
The representation method used in test case 1 was extended into four discrete load levels for four switching time. Four discrete load levels are heuristically pre-specified and characterized in table 4-7.

Load level Time duration Description Load duration
1 0900H-1600H Peak hours Peak-0.25(peak-lowest)
2 2300H-0700H Light load hours Lowest+0.25(peak-lowest)
3 0800H Mid-way Load level 2- load level 1
4 1700H-2200H Mid-way Load level 1- load level 2


Table 4-7. Discretized load duration of IEEE 34 bus test feeder 

15 candidate locations are selected. Each capacitor size was represented by a 3 bit gray code. For fixed and switched capacitor allocation problem, 50 kvar of compensation was assigned to be the lowest possible fixed capacitor size to be place at any location. 75 kvar was removed since it is neither a multiple of 50 nor all of the higher size of capacitors are multiple of 75. 

For 3 bit representation of capacitor sizes, 15 candidate locations and 4 discrete load levels, there will be 180 bit long of chromosomes. This is one manifestation that this case has a higher degree of complexity than test case 1. 

Parameters
To obtain better quality solution, we assign a population size of 360 (2L) individuals. Experimental results showed that exponential normalization of the fitness value performs better than linear normalization. By probabilistic point of view, for large population size, individuals with higher fitness value has approximately equal chances of being selected for mating since the linearly normalized fitness of one individual is only 1 point higher to the next individual` s fitness. A mutation probability of 1/360 or 0.00278 was also assigned.

Results
The program was again run for five trials, then we take the best among the five as the solution for this test case. The graph of the savings and summary of the five trials are shown in table 4-8. The running time of the program for each trial with 100 generations is around two and a half hours.

Trials Peak power loss (KW) Annual energy loss (KWh) Compensation (Kvar) Savings ($)
1 229.169 1,098,841.876  2,100 17,324.705
2 230.533 1,105,550.042 1,950 17,360.085
3 231.032 1,104,473.389 1,950 17,330.082
4 229.228 1,098,812.679 2,100 17,316.181
5 230.657 1,105,475.84 1,950 17,343.096
Mean 230.12 1,102,630.766 2,010 17,334.83

Table 4-8. Summary of the results of load flow after compensation for test case 2

Taking the best solution among the five trials and comparing it to the solution in test case 1, we observed that the maximum savings of the two cases are almost the same. The minimum bus voltage at peak load and maximum bus voltage at light load of IEEE 34 after compensation are 0.942 p.u. and 1.0 p.u., respectively

Test case 3
The third test case is the implementation of the proposed method on 13.2 kV, 166 bus rural electric distribution system, the Tarlac Electric Cooperative II or TARELCO II. Feeder 1 summary, system data and characteristics of the TARELCO II are given in [6,7]. The system losses of TARELCO II are very low and there is no need for capacitor compensation. Sarmiento [6] applied a 50% load growth for the sake of demonstrating his proposed method of optimal capacitor placement. Using the three-phase load flow, the initial condition of the system before compensation is given in table 5-13. The Ke, Kp, and Kc for this case are 1.6032 Pesos/kWh, 1,155.84 Pesos/kW/year and 75 Pesos/kVar/year, respectively. 

Daily energy loss (kWh)  654.652391
Annual energy loss (kWh) 238,948.12
Peak power loss(kW) 72.15
Annual investment loss from energy loss (P) 383,081.63
Annual investment loss from peak power loss(P) 83,395.57
Minimum voltage (pu) 0.931151 (163-A)


Table 4-9. System losses and minimum voltage of TARELCO II feeder-1 before compensation

GA parameters and representation in test case 2 was also used for this case. The program was run five times for 100 generations which takes around 14 hours for every run. The summary of the results is given in table 4-10.

Trials Peak power loss (KW) Annual energy loss (KWh) Compensation (Kvar) Annual Saving (Pesos)
1 57.73 188,034.1 450 64,545.67
2 58.24 188,907.18 450 62,558.53
3 58.10 188,637.02 450 63,145.89
4 57.70 188,656.82 450 63,581.30
5 58.00 188,631.75 450 63,321.84
Mean 57.954 188,567.374 450 63,430.646

Table 4-10. Summary of the results of load flow after compensation for test case 3.

Candidate locations Capacitor compensation of the best out of 5 trials (a,b,c)
1900H-2100H 2200H-0000H 0100H-0700H 0800-1800H
15 50 50 50 50
50 50 50 50 50
46 50 50 0 50


Table 4-11.
Optimal capacitor allocation for test case 3. 

The trial that outputs the highest savings (trial 1) out of the 5 trials was taken as the solution. The optimal allocation of balanced three-phase capacitor banks is given in table 4-11. The minimum bus voltage at peak load and maximum bus voltage at light load of TARELCO II after compensation are 0.944 p.u. and 1.0 p.u., respectively

 

Introduction
Problem Formulation and Solution
Implementation, Testing and Results
Testing and Results (continued1)
Testing and Results (continued2)
Conclusion and References

 

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