Description: Paper Abstract – An adaptive control of Distributed Generation (DG)
to provide predictable active power output at the primary
distribution substation is described. Often, distribution networks
accommodate renewable energy different energy sources
and thus using different energy conversion sources. As the
amount of generation that comes intermittent renewable
sources (e.g. wind energy) increases, network operators start to
concern with the uncertainty of generation. However, when the
power output intermittent renewable sources is predicted,
the network operators can reduce the operational costs of the
network and the DG owners may go on the market. Thus, our
challenge with this work was to develop an algorithm which can
predict the active power output the aggregation of wind and
biomass energy at the primary distribution substation of a typical
distribution network. Wind and biomass energy plant are onto
the same distribution network but not necessarily onto the same
feeder.
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