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Abstract
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This paper presents a new probabilistic approach for
optimal unit commitment (UC) of distributed generation (DG) in
smart distribution networks (SDNs) considering economic and
reliability aspects. In this paper the economic and reliable UC of
DG is formulated and solved as an optimisation problem. The
network is assumed to be supplied by dispatchable and non-
dispatchable generators and energy storage systems (ESSs). The
optimization aim is to minimize the overall operating cost, power
losses cost, the pollutants emission cost and cost of energy not
supply (ENS). The economic and reliability evaluation is done
under uncertain behaviour of load and renewable power
generation. The system uncertainties are considered using a set
of scenarios and a scenario reduction method is applied to
enhance a trade-off between the accuracy of the solution and the
computational burden. Cuckoo optimization algorithm (COA) is
implemented to minimize the objective function as an
optimization algorithm. The effectiveness and efficiency of the
proposed method are validated through extensive numerical tests
on PG&E 69-bus test distribution system.
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