Abstract
The Distributed Generation (DG) has created a challenge and an opportunity for developing various novel technologies in power generation. DG prepares a multitude of services to utilities and consumers, containing standby generation, peaks chopping sufficiency, base load generation. In this paper a planning paradigm for network upgrade based on Interactive Artificial Bee Colony (IABC) is proposed. The paradigm is able to select amongst several choices equi-cost that one assuring the optimum in terms of voltage profile, considering various scenarios of DG penetration and load demand. The proposed algorithm is applied over the 30 lines, 28 buses power system. The achieved results demonstrate the good efficiency of the DG using the proposed technique in different scenarios.
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