Abstract

The aspect of this study is to compare the three different algorithms such as Genetic Algorithm (GA), Enhanced Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) to fine the optimal location of the FACTS device in the transmission line. The FACTS devices Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are selected based on the steady stability state and dynamic stability state. Each of the algorithms is coded in MATLAB and incorporated it with the conventional Newton Raphson’s load flow analysis. To find the effectiveness of the proposed algorithm IEEE 14-bus system is taken as the test system.

Highlights

  • Main factor to select the Flexible AC Transmission System (FACTS) devices

  • The flow sequence of the Particle Swarm Optimization Algorithm (Poli et al, 2007) is illustrated as follows: Algorithm PSO Begin Generate random population of N solutions(particles); For each individual I ε N calculate fitness ( i ); Initialize the value of the weight factor ω; For each particle; Set pBest as the best position of particle i; If fitness (i) is better than pBest; pBest(i)=fitness (i); End; Set gBest as the best fitness of all particles; For each particle; Calculate particle velocity according to Equation (12); Update particle position according to Equation (13); End; Update the value of the weight factor ω; Check if termination=true; End

  • A MATLAB coding is developed for each algorithm inter linked with the conventional Newton Raphson’s method for load flow study

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Summary

INTRODUCTION

Main factor to select the FACTS devices. the generation cost and the cost of device to be used. The dynamic and the steady state stability possible problems and the devices to be used to overcome are discussed. From the dynamic stability state tabulation it can be concluded that for most of the problems, the necessary corrective measure and the device to be connected to overcome the problem in most of the cases are:. In the analysis of the problems that are tabulated in the Table 1 and 2 the best devices that can be used in the power system are UPFC and TSCS. The device selection and the rating of the FACTS device to be used are obtained as the result

COST FUNNCTION
Facts Controller Cost Function
Optimal Power Flow with Facts Device
GENETIC ALGORITHM
Encoding
Fitness Function
Advanced and Problem-Specific Genetic Operators
Hill Climbing
Implementation
Fitness and penalization functions
Next population
Border
Parallel operation
TEST RESULTS
CONCLUSION
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