M.A. Thesis:

Reducing Power System Losses with Optimal location of SVC using Genetic Algorithm and Particle Swarm Optimization

The most important subject in power system stability and voltage regulation in different parts of the network. And by increasing the cost of production and transmission of energy and environmental subject, always try with optimal operation of the existing system to reduce losses and increase efficiency in the system will achieve. One of the ways to arrive loss reduction and stability voltage system is reactive power control. The last of electro-mechanical devices, such as synchronous condenser, capacitors and reactors used. And now with attention to the development of power electronics and semiconductor manufacturing power equipment used facts. One of the cheapest and simplest facts made devices, is static var compensator(SVC). SVC is an important location in power systems. Failure to latch SVC in the right place in the system will be weakened in function and performance, So when using these devices, their optimal placement (find locations and optimized capacity) should be considered.The use of meta-heuristic methods such as genetic algorithms (GA) and particle swarm optimization algorithm (PSO) to determine location and the optimal size SVC is an effective solution in this field.

Keywords: Keywords: voltage stability, reduce losses, SVC, genetic algorithms, particle swarm optimization alg