Optimal placement and sizing of distributed generators in unbalanced distribution networks using lion algorithm

Abstract

This paper provides a modelling algorithm for renewable energy based distributed generators with the goal of reducing power loss and improving voltage profiles in unbalanced distribution networks. Recently, the utilization of Distributed Generation (DG) technologies in the power system is gaining the utmost importance owing to its potential benefits. The combining of the distribution system with DG put forwards a cost - effective as well as benefits to the clients. In any case the scanty of DGs might not assure the enhancement in terms of system performance. Hence In the distribution system appropriate DG units’ placement plays vital role. In this paper, the optimal DG placement problem will be discussed as a constrained nonlinear optimization problem for voltage profile enhancement and power loss minimization. As a novelty the result of Lion Algorithm (LA) compared with the supervised firefly algorithm and Bat algorithm. The voltage profile and power loss reduction in the feeder system with DGs is evaluated for two test cases: case 1(DG supplying real power alone (P), and case 2 (DG supplying reactive power alone (Q). The proposed algorithms are evaluated on the IEEE 33 and IEEE 69 node feeders in a MATLAB environment. Several case studies have been conducted, and the results of the subsequent discussions illustrate the effectiveness of the presented algorithms.