Performance Analysis of TCSC placement problem solving
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 9
Abstract
In recent years, power demand has accrued day by day whereas the growth of power generation and transmission has been restricted because of restricted resources and environmental restrictions. Flexible AC Transmission Systems (FACTS) devices play a very important role in up the facility system performance. Flexible AC transmission systems devices have been chiefly used for finding numerous steady states, dynamic and transient management issues of grid. TCSC is an important member of FACTS family in an exceedingly grid, it has high potential in applications as a result of it is going to improve power system performance together with power flow management, transfer capability, transient stability and sub-synchronous resonance (SSR). As different FACTS devices, TCSC is additionally an expensive device, so this is often atmost essential to search out its optimum size and location in an exceedingly facility to realize most advantage of this device. This difficulty downside has been solved by researchers in several ways by considering totally different objectives. Many different mathematical techniques are employed within the past for optimal power flow resolution. In recent years, intelligent techniques impressed naturally, like genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), hybridisation of differential evolution and biography based optimization (BBO), non dominated sorting genetic algorithm (NSGA) etc. However there is no clear indication that one algorithm outperforms all others. In this , comperative study of improvement problem consists to reduce the TCSCs installation price and to decrease the total real power losses. To demonstrate the effectiveness of the proposed approach, 5 bus system and IEEE 24-bus system has been studied.
Authors and Affiliations
Preeti Sahu, Ritesh Diwan
Keywords
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