TITLE:
Optimal Placement and Sizing of Distributed Energy Generation in an Electrical Network Using the Hybrid Algorithm of Bee Colonies and Newton Raphson
AUTHORS:
Fissou Filbert Amigue, Salomé Ndjakomo Essiane, Steve Perabi Ngoffe, Aristide Tolok Nelem
KEYWORDS:
Optimization, Distributed Power Generation, Bee Colony Algorithm, Newton Raphson
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.8 No.6,
June
19,
2020
ABSTRACT: Distributed
generation (DG) is gaining in importance due to the growing demand for
electrical energy and the key role it plays in reducing actual energy losses,
lowering operating costs and improving voltage stability. In this paper, we
propose to inject distributed power generation into a distribution system while
minimizing active energy losses. This injection should be done at a grid node
(which is a point where energy can be injected into or recovered from the grid)
that will be considered the optimal node when total active losses in the radial
distribution system are minimal. The focus is on meeting energy demand using
renewable energy sources. The main criterion is the minimization of active
energy losses during injection. The method used is the algorithm of bee colony
(ABC) associated with Newtonian energy flow transfer equations. The method has
been implemented in MATLAB for optimal node search in IEEE 14, 33 and 57 nodes
networks. The active energy loss results of this hybrid algorithm were compared
with the results of previous searches. This comparison shows that the proposed
algorithm allows to have reduced losses with the power injected that we have
found.