• Tarun Kumar Tailor

In the present scenario, congestion management has become a challenging task due to no. of reasons like increased demand, economic and operational constraints. There is a need for efficient and fast responding technology. In this regard, optimal placement and sizing of DGs are utilized in this work for managing network congestion. The preferred location of DGs is decided based online flow sensitivity factor (LFSF). These LFSF values of all the load buses are computed with respect to congested lines. The mathematical formulation of CM problem is presented with an objective to find out an optimal value of the DGs such that cost is minimized. Genetic algorithm (GA) has been exploited to solve this optimization problem. The considered approach is implemented on a modified IEEE-30 bus system to confirm the usefulness.

"Transmission Congestion Management Considering Optimal Location and Capacity of Distributed Generations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.636-639, February-2019, Available :http://www.jetir.org/papers/JETIR1902C92.pdf

"Transmission Congestion Management Considering Optimal Location and Capacity of Distributed Generations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp636-639, February-2019, Available at : http://www.jetir.org/papers/JETIR1902C92.pdf