Power systems big data analytics: An assessment of paradigm shift barriers and prospects

Hossein Akhavan-Hejazi, Hamed Mohsenian‐Rad

Energy Reports · 2018 · 133 citations · 52 references

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TL;DR

Electric power systems are rapidly adopting advanced metering, DER monitoring, and high‑frequency wide‑area sensing, generating massive energy data, yet it remains unclear whether current data structures and tools align with big‑data science pillars and power‑system specific requirements demand customized methods and platforms. This paper assesses the distinctive aspects of big‑data analytics developments in power systems. The authors construct a taxonomy of existing and missing elements in the structures and methods of power‑system big‑data analytics. They outline classifications, discuss technical approaches, research opportunities, and application areas for energy big‑data analytics.

Abstract

Electric power systems are taking drastic advances in deployment of information and communication technologies; numerous new measurement devices are installed in forms of advanced metering infrastructure, distributed energy resources (DER) monitoring systems, high frequency synchronized wide-area awareness systems that with great speed are generating immense volume of energy data. However, it is still questioned that whether the today's power system data, the structures and the tools being developed are indeed aligned with the pillars of the big data science. Further, several requirements and especial features of power systems and energy big data call for customized methods and platforms. This paper provides an assessment of the distinguished aspects in big data analytics developments in the domain of power systems. We perform several taxonomy of the existing and the missing elements in the structures and methods associated with big data analytics in power systems. We also provide a holistic outline, classifications, and concise discussions on the technical approaches, research opportunities, and application areas for energy big data analytics.

References

52