An Artificial Bee Colony algorithm based distribution system state estimation including Renewable Energy Sources

State estimation in electrical distribution systems (EDSs) is an analyzing tool for estimating the state of it for close monitoring and controlling by distribution management system (DMS). In this paper, RESs integrated EDS´s state is estimated using the distribution system state estimation (DSSE) model. DSSE is formulated as optimization problem involving an objective function which is to be minimized subjected to equality and inequality constraints which describe the practical considerations of real time EDS. For minimizing the objective function of DSSE model, Artificial Bee Colony (ABC) algorithm is used to estimate load and Renewable Energy Sources (RESs) output. The performance of the proposed work is evaluated on IEEE 33 and IEEE 70 bus test systems using MATLAB working platform. The results are compared with other evolutionary optimization algorithms for a test system, in which ABC proves to be effective and efficient for the DSE.