부산대학교 도서관

When it comes to the online monitoring, control, and security analysis functions of a power system, a state estimator is a crucial instrument. Status estimation is used by many energy management systems to ascertain the current operational state of the system and to make accurate predictions. Numerous experiments have been conducted over the past few decades on state estimation, and new methodologies have arisen with the passage of time; applying state estimation to power systems (energy management systems) has resulted in significant advancements in the field. As a result, we feel compelled to present a novel algorithmic approach, which we're calling heap-based optimization because it makes use of a heap data structure. Assigning an unknown value to the system's state using the available measurements is the primary goal of this state estimation. Both multimodal and unimodal criteria are used to assess its behavior. Performance is seen to be better than or on par with other algorithms employed in the literature, after taking the results into account. [ABSTRACT FROM AUTHOR]