Two deoxyglucose (DG) derivatives, (α,β)-2-deoxy-2-amino(ethylcarbamate)-D-glucose (ECB-DG) and (α,β)-2-deoxy-2-amino(1,2-dihydroxypropyl)-D-glucose (DHP-DG), were synthesized and radiolabeled successfully with [99mTc(H2O)3(CO)3]+ complex. [99mTc]-ECB-DG and [99mTc]-DHP-DG complexes were prepared (96% and 93% radiochemical purities respectively) by using 46 mCi of Na99mTcO4 in 1 mL saline. Radi...

The increased penetration of electric vehicles (EVs) and distributed generator (DG) units has led to uncertainty in distribution systems. These uncertainties—which have not been adequately considered the literature—can entail risks optimal sizing EV charging stations (EVCSs) DG active network planning. This paper proposes a method for obtaining EVCSs (considering uncertainty), achieve exact pow...

Recently, the proliferation of distributed generation (DG) has been intensively increased in distribution systems worldwide. In systems, DGs and utility-owned electric vehicle (EV) to grid aggregators have be efficiently scaled for cost-effective network operation. Accordingly, with penetration power demand response (DR) is considered an advanced step towards a smart grid. To cope these advance...

Modern distribution systems and microgrids must deal with high levels of uncertainty in their planning operation. These uncertainties are mainly due to variations loads distributed generation (DG) introduced by new technologies. This scenario brings challenges planners system operators that need tools perform more assertive analyses the grid state. paper presents an optimization methodology cap...

This paper presents a novel Butterfly-PSO optimization technique for optimal sizing and siting of the distributed generations (DGs). The validity of the evaluated results is confirmed by comparing with well known Genetic Algorithm (GA) and Standard or Conventional Particle Swarm Optimization (PSO). To exhibit it’s compatibility in terms of load management an impact of different load models on t...