  The accelerating technological landscape and drive towards net-zero emission
made the power system grow in scale and complexity. Serial computational
approaches for grid planning and operation struggle to execute necessary
calculations within reasonable times. Resorting to high-performance and
parallel computing approaches has become paramount. Moreover, the ambitious
plans for the future grid and IoT integration make a shift towards utilizing
Cloud computing inevitable. This article recounts the dawn of parallel
computation and its appearance in power system studies, reviewing the most
recent literature and research on exploiting the available computational
resources and technologies today. The article starts with a brief introduction
to the field. The relevant hardware and paradigms are then explained thoroughly
in this article providing a base for the reader to understand the literature.
Later, parallel power system studies are reviewed, reciting the study
development from older papers up to the 21st century, emphasizing the most
impactful work of the last decade. The studies included system stability
studies, state estimation and power system operation, and market optimization.
The reviews are split into \ac{CPU} based,\ac{GPU} based, and Cloud-based
studies. Finally, the state-of-the-art is discussed, highlighting the issue of
standardization and the future of computation in power system studies.
