Grey Wolf Optimizer and Cuckoo Search Algorithm for Electric Power System State Estimation with Load Uncertainty and False Data

State estimate serves a crucial purpose in the control centre of modern power system. Voltage phasor buses such configurations is referred to as state variables that should be determined during operation. A precise estimation needed define optimal operation all components. So many mathematical and heuristic techniques can used achieve aforementioned objective. An enhanced system estimator built on cuck search algorithm described this work. Several scenarios, including influence load uncertainty likelihood false data injection significant challenges electrical energy networks, are proposed analyse estimators. The ability identify correct also assessed regard. Additionally, performance presented compared weighted least squares, Cuckoo Search grey wolf Optimizer. findings demonstrate Optimizer overcomes primary shortcomings conventional approaches, accuracy complexity, better able rectify incorrect data. On IEEE 14-bus 30-bus test systems, simulations run show how well method works.