State Estimation of Smart Power Grid: A Literature Survey

Abstract

Developing new and improving existing energy technologies, as well as adding information systems to manage the monitoring and controlling of smart grids, are all part of the advancement and use of smart power grids. The fast growth of smart grids necessitates the development of effective state estimation algorithms. This study gives a review of the literature on smart power grid state estimation algorithms. Based on the literature, the study also offers an overview of static and dynamic state estimation along with traditional and evolutionary algorithms techniques. Furthermore, a brief discussion on the role of a generalized state estimator that combined key aspects of a smart power grid is done. In addition to all these, some significant difficulties based on smart grid state estimation methodologies, such as meter placement, the impact of renewable penetration, and the use of pseudo measurements, were reviewed. The use of both traditional and contemporary probabilistic and meta-heuristic approaches has been reviewed. This study can offer utility engineers and researchers insights into the technological accomplishments, challenges, and future directions of distribution system SE research.