• Dr. H.R.SUDARSHANA REDDY
• Dr. SANJEEVA KUMAR .R. A.

The intervention of DG’s in the electrical network has increased remarkably which has led to the requirement of optimally allocating them in the system. They should be allocated with an optimal size and appropriate locations such that they increase the system performance, reduce losses as well as to obtain better voltage profile. In this paper the nature inspired algorithm based intelligent technique called Flower pollination algorithm (FPA) is used to obtain the optimal size of the generator and also the location is chosen on the basis of the multi objective function which includes LVDRI, power loss reduction index (PLRI). Also, constant power load model is considered for the case of heavy load where drastic changes in the test system can be observed. Under this condition the optimal placement and type of DGs are the important factors for consideration. The enhancement of power quality is achieved by nullifying the effect of the voltage sag, at the affected busses by using the indices based on the variations in voltage. The entire analysis is carried out on standard IEEE 33bus test system

Distributed Generation, flower pollination algorithm, voltage sag

"Optimal allocation of distributed generation to mitigate power quality issues ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.258-264, April-2019, Available :http://www.jetir.org/papers/JETIR1904538.pdf

"Optimal allocation of distributed generation to mitigate power quality issues ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp258-264, April-2019, Available at : http://www.jetir.org/papers/JETIR1904538.pdf