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.-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.