Security and Cloud Outsourcing Framework for Economic Dispatch

Journal Article · Mon Apr 24 00:00:00 EDT 2017 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/TSG.2017.2697430· OSTI ID:1402071

Sarker, Mushfiqur R. ^[1]; Wang, Jianhui ^[1]; Li, Zuyi ^[1]; Ren, Kui ^[1]

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1. Argonne National Lab. (ANL), Argonne, IL (United States); State Univ. of New York at Buffalo, Buffalo, NY (United States); Illinois Inst. of Technology, Chicago, IL (United States)

The computational complexity and problem sizes of power grid applications have increased significantly with the advent of renewable resources and smart grid technologies. The current paradigm of solving these issues consist of inhouse high performance computing infrastructures, which have drawbacks of high capital expenditures, maintenance, and limited scalability. Cloud computing is an ideal alternative due to its powerful computational capacity, rapid scalability, and high cost-effectiveness. A major challenge, however, remains in that the highly confidential grid data is susceptible for potential cyberattacks when outsourced to the cloud. In this work, a security and cloud outsourcing framework is developed for the Economic Dispatch (ED) linear programming application. As a result, the security framework transforms the ED linear program into a confidentiality-preserving linear program, that masks both the data and problem structure, thus enabling secure outsourcing to the cloud. Results show that for large grid test cases the performance gain and costs outperforms the in-house infrastructure.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• Grant/Contract Number: AC02-06CH11357
• OSTI ID: 1402071
• Journal Information: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 99 Vol. PP; ISSN 1949-3053
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
cloud computing
economic dispatch
high-performance computing