Optimal Congestion Management Strategy by probabilistic distributed generators with losses and voltage stabilities

In this work, incorporation of both intermittent and constant Mega Watt (MW) distributed generators (DGs) is proposed as a novel approach for transmission lines congestion management (CM]. The biomass (BM) DG is operated as constant MW DG whereas, the solar (PV) and wind (WT) DGs are operated as intermittent natured DGs. The intermittent natures like solar irradiance and wind speed of the DGs are modelled as respective probability distribution function (PDFs). Initially, the real power transmission congestion distribution factors (PTCDFs) are utilized to incorporate the DGs to the existing system. Later, the voltage stability margin and the real power losses are minimized using multi-objective particle swarm optimization (MO-PSO) technique to obtain the suitable DG capacities. The effectiveness of the persisted approach is evaluated by implementing on standard IEEE test bus system. Results declare the superiority of the proposed approach in obtaining the DG capacities and reliving congestion in lines of the network.