OPTIMAL ALLOCATION OF RENEWABLE DISTRIBUTED GENERATION WITH LARGE PENETRATION TO MITIGATE POWER QUALITY ISSUES

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 modified shuffled frog leap algorithm is used to obtain the optimal location of the renewable distributed generation. Here analysis is carried out on full load and heavy load and 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 selection of type of DGs with their penetration level is the important factor 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.