Robust Active Distribution Network Planning considering Stochastic Renewable Distributed Generation

Investment in distributed generation (DG) is an attractive planning option for enhancing the reliability and security of power distribution systems. However, uncertainties due to intermittent generation of renewable energy based DGs i.e. wind turbines (WTs) and solar photovoltaics (PVs) are a challenge for DG integration. This work proposes a robust distributed generation investment planning (DGIP) which considers the uncertainties associated with the intermittent renewable generation and variable electricity demand. The proposed DGIP minimizes the net present value (NPV) of total costs of investment, operation, maintenance and emissions of WTs and PVs. The proposed planning solution is assessed using the 53-bus test feeder and the numerical result demonstrates its benefit against the conventional solution.