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Title: Security and Cloud Outsourcing Framework for Economic Dispatch

Abstract

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.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [1]
  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)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1402071
Grant/Contract Number:
AC02-06CH11357
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: PP; Journal Issue: 99; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; cloud computing; economic dispatch; high-performance computing

Citation Formats

Sarker, Mushfiqur R., Wang, Jianhui, Li, Zuyi, and Ren, Kui. Security and Cloud Outsourcing Framework for Economic Dispatch. United States: N. p., 2017. Web. doi:10.1109/TSG.2017.2697430.
Sarker, Mushfiqur R., Wang, Jianhui, Li, Zuyi, & Ren, Kui. Security and Cloud Outsourcing Framework for Economic Dispatch. United States. doi:10.1109/TSG.2017.2697430.
Sarker, Mushfiqur R., Wang, Jianhui, Li, Zuyi, and Ren, Kui. Mon . "Security and Cloud Outsourcing Framework for Economic Dispatch". United States. doi:10.1109/TSG.2017.2697430. https://www.osti.gov/servlets/purl/1402071.
@article{osti_1402071,
title = {Security and Cloud Outsourcing Framework for Economic Dispatch},
author = {Sarker, Mushfiqur R. and Wang, Jianhui and Li, Zuyi and Ren, Kui},
abstractNote = {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.},
doi = {10.1109/TSG.2017.2697430},
journal = {IEEE Transactions on Smart Grid},
number = 99,
volume = PP,
place = {United States},
year = {Mon Apr 24 00:00:00 EDT 2017},
month = {Mon Apr 24 00:00:00 EDT 2017}
}

Journal Article:
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  • In this paper the authors present an approach to enhance the security of power systems by supplementing conventional economic dispatch solutions for less branch overload in case of contingencies. The supplementary control adjustment is determined by approximate reasoning based on qualitative rules and linguistic fuzzy sets. Fuzzy sets and reasoning procedure are defined for effective security enhancement of real power generation. Numerical examples prove that this approach efficiently produces more secure conditions against branch overload.
  • This paper proposes a new approach to the Security Constrained Economic Dispatch based on a nonlinear version of the Dantzig-Wolfe decomposition principle. The dispatch problem is formulated using truly nonlinear unit cost functions and a new, detailed representation of reserve curves. The solutions obtained by the method have the equal {lambda} property. The proposed decomposition scheme is more efficient as the number of generating units in the problem is increased. Numerical results obtained on three test cases are presented.
  • An algorithm for solving the extended security constrained economic dispatch (ESCED) problem with real-time economic dispatch grade speed and reliability is presented. The ESCED problem is formulated by adding regulating margin and ramp rate constraints to the network security constrained economic dispatch problem previously solved by the CEDC algorithm. Starting with Newton`s method to optimize the Lagrangian, the ESCED is developed by superimposing on Newton`s method eight major components called Tracking Start Initialization, Hessian Pre-Elimination, Implicit Dual Variable Calculations, Regulating Margin Sensitivity Coefficient Calculations, Traumatic Event Evaluation, Constraint Relaxation, Implicit Ramp Rate Constraint Implementation, and Relaxed Incremental Cost Calculations. Testmore » results are also presented.« less
  • The paper presents results from the development and testing of an algorithm for security constrained dispatch calculations wherein closed area MW, line MW and MVA, and line-group MW constraints must be considered to insure system security. An overview of the algorithm and partial results from full-scale benchmark tests using a real-time 1200 bus/1500 line model and an optimal power flow (OPF) are presented in the body of the paper. Several appendices are included to outline the techniques used in the algorithm development.
  • This paper deals with the use of Successive Linear Programming (SLP) for the solution of the Security-Constrained Economic Dispatch (SCED) problem. The authors tutorially describe an Interior Point Method (IPM) for the solution of Linear Programming (LP) problems, discussing important implementation issues that really make this method far superior to the simplex method. A study of the convergence of the SLP technique and a practical criterion to avoid oscillatory behavior in the iteration process are also proposed. A comparison of the proposed method with an efficient simplex code (MINOS) is carried out by solving SCED problems on two standard IEEEmore » systems. The results show that the interior point technique is reliable, accurate and more than two times faster than the simplex algorithm.« less