TY - GEN
T1 - Challenges and trade-offs of a cloud hosted phasor measurement unit-based linear state estimator
AU - Chakati, Vinaya
AU - Pore, Madhurima
AU - Pal, Anamitra
AU - Banerjee, Ayan
AU - Gupta, Sandeep
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/26
Y1 - 2017/10/26
N2 - Being one of the key derivatives of phasor measurement units (PMUs), a synchrophasor-only linear state estimator (LSE) presents a reliable, high quality, and truly dynamic picture of the power grid. However, with the increase in number of buses monitored by PMUs, computational burden will become a critical constraint for the state estimation solver. Although installing additional hardware can be a possible solution, such a solution will considerably raise the cost of capital investment, operation, and maintenance. This paper proposes cloud-computing as a cost-effective alternative to the computational burden problem. This paper also presents feasibility of the cloud based solution with regards to scalability of the system and latency incurred. Our solution is designed to address the critical operational parameters such as latency and variable network sizes. Additionally, the LSE application establishes robust communication procedures to process inputs arriving at high data rates from multiple PMUs. The paper concludes by highlighting future research directions for enhancing such cloud based solutions.
AB - Being one of the key derivatives of phasor measurement units (PMUs), a synchrophasor-only linear state estimator (LSE) presents a reliable, high quality, and truly dynamic picture of the power grid. However, with the increase in number of buses monitored by PMUs, computational burden will become a critical constraint for the state estimation solver. Although installing additional hardware can be a possible solution, such a solution will considerably raise the cost of capital investment, operation, and maintenance. This paper proposes cloud-computing as a cost-effective alternative to the computational burden problem. This paper also presents feasibility of the cloud based solution with regards to scalability of the system and latency incurred. Our solution is designed to address the critical operational parameters such as latency and variable network sizes. Additionally, the LSE application establishes robust communication procedures to process inputs arriving at high data rates from multiple PMUs. The paper concludes by highlighting future research directions for enhancing such cloud based solutions.
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U2 - 10.1109/ISGT.2017.8085957
DO - 10.1109/ISGT.2017.8085957
M3 - Conference contribution
AN - SCOPUS:85040168575
T3 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
BT - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Y2 - 23 April 2017 through 26 April 2017
ER -