Distributed generation long-term planning in smart distribution systems considering daily optimal operation

An algorithm to maximise distributed generation (DG) hosting capacity in a system while lowering overall system cost is proposed in this paper. This algorithm considers several realistic aspects of long-term DG planning, such as cost effective design of feeder reinforcement. It allocates DGs and provide the type, size, location and year of installation. Both dispatchable and non-dispatchable DG technologies are used. The complexity of the problem necessitates modelling the problem as a mixed integer nonlinear programming. This is performed while considering the daily optimal operation of the allocated DGs. A case study of test system was conducted over a planning period of 20 years with every year consisting of eight-day patterns and each day having varied hours.