ABSTRACT
This paper proposes a stochastic multi-objective model for integration of distributed generations (DGs) in
distribution networks. The proposed model determines the optimal location and size of DGs by optimising
different objective functions dependently and simultaneously subject to the operating constraints. If
proper sizes of DGs are located in suitable sites and are also managed properly they can improve integrity,
reliability and efficiency of the system. Regarding the widespread impact of uncertainties, some strategies
must be devised in order to incorporate them well into power system modelling and hence achieve the
best possible strategy to be adopted which its characteristics keep closer to reality. The most important
uncertainties in network planning are load forecasting and market price errors. The proposed scheme is
solved using non-dominated sorting genetic algorithms II, allowing the distribution company (DisCo) to
exercise his/her personal preferences. To validate the effectiveness of the proposed scheme, simulations
are carried out on a 33-bus distribution network and finally the attained results are discussed.
کلید واژگان :
KEYWORDS Distributed generation sitting and sizing; electric distribution system; uncertainty modelling; scenario based-stochastic programming; multi-objective; genetic algorithm
