Multiobjective Programming for the Optimal Sizing and Siting of Power-Electronic Interfaced Dispersed Generators

Dispersed Generation (DG) is often connected to the network with power-electronic interfaces for a proper coupling with the distribution networks (e.g. photovoltaic panels, fuel cells, microturbines, wind turbines, etc.). Such power electronics can perforin functions other than the supply of real power thus representing an opportunity to increase the value of DG as provider of new additional services. In particular, the innovation and the improvements in electronic devices allow using DG for the provision of ancillary services (voltage control, power quality disturbance compensation, and so on), representing, in this way, an interesting chance to improve the quality of the service. For these reasons, specific planning tools for the optimal siting and sizing of DG should be adopted to take into consideration the multiple and contrasting goals that the Distribution System Operators (DSO) strive to achieve. In the paper the optimal siting and sizing of DG connected through electronic interfaces is performed by means of multiobjective programming and an -constrained technique is used for the solution of the problem. Particular attention is paid to the modelling of electronic interfaces in order to obtain the required ancillary service provision. Simulation results on a test system demonstrate the usefulness of the proposed methodology as well as the advantages obtained by the use of electronic interfaces in comparison to solutions employing electric generators directly coupled to the distribution network.