SUMMARY
This paper proposes a new method to select the optimal setting and sizing of distributed solarphotovoltaic generation (SPVG) in a radial electrical distribution systems (EDS) considering load/generation uncertainties. Here, distributed generations (DGs) allocation problem is modeled asan optimization problem with a network loss based objective function under various equality andinequality constraints in an uncertain environment. A boundary power flow is utilized to addressthe uncertainties in load/generation. This approach reduces the requirement of statistical load/generation data for uncertainty consideration. Uncertain solar irradiance is modeled by betadistribution function (BDF). The resulting optimization problem is solved by a new dynamicharmony search algorithm (DHSA). Dynamic bandwidth (DBW) based DHSA is proposed toenhance the search space and dynamically adjust the exploitation near the optimal solution. Theproposed approach is demonstrated with two standard IEEE radial distribution systems underdifferent scenarios.