Computational Challenges for Power System Operation

Abstract

As the power grid technology evolution and information technology revolution converge, power grids are witnessing a revolutionary transition, represented by emerging grid technologies and large scale deployment of new sensors and meters in networks. This transition brings opportunities, as well as computational challenges in the field of power grid analysis and operation. This paper presents some research outcomes in the areas of parallel state estimation using the preconditioned conjugated gradient method, parallel contingency analysis with a dynamic load balancing scheme and distributed system architecture. Based on this research, three types of computational challenges are identified: highly coupled applications, loosely coupled applications, and centralized and distributed applications. Recommendations for future work for power grid applications are also presented.

Modeling and Simulation of Network Aspects for Distributed Cyber-Physical Energy Systems

“…Early models and software for transmission and distribution systems emerged when computers started to become popular for business purposes. Following the rapid development in distributed and parallel computing, distributed power system modeling and analysis has become a widely studied research topic of the last decade [10,30,21,20].…”

Computation of steady state nodal voltages for fast security assessment in power systems

“…Recent and significant results in real-time contingency analysis on very large systems have been achieved by means of parallel computations [10].…”

Research on Application of Big Data Technique in Smart Distribution Grids

“…Power system state estimation is used to ensure the stableness of the grid and prevent blackouts. Likewise Chen et al [5].Discuss calculation of power system state prediction via weighted least-square method. When some part of the network are detached from the grid Islanding will occurs and such events can leads to stability issues in grid.…”