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Optimal Risk Management of Electric Power Systems with CLOUD Simulation and Security Meter Algorithms

In: Handbook of Smart Energy Systems

Author

Listed:
  • Mehmet Sahinoglu

    (Troy University)

Abstract

This review chapter studies a discrete event simulator (DES), CLOURAM: CLOUD Risk Assessor and Manager that quantitatively estimates and manages risk with optimal mitigation targets within an Electric Power CLOUD computing framework. The 2-state (UP, DOWN) units are assumed to fail and recover with a Negative Exponential density for simplicity and as a result of goodness-of-fit studies. The ultimate goal is to manage risk and improve the operational quality of Power CLOUD by optimizing the number of servers for capacity addition, and optimizing the maintenance repair crew count. One also optimizes the generating unit repair rates and consumer load cycle by using Linear Programming (LP)-based optimization schemes with proper objective functions and constraints. Authentic Electric Power Systems are simulated with cost and benefit comparisons for optimality. As an alternative, Security Meter (SM) algorithm is applied to mitigate a nation’s overall risk studying the vulnerabilities, threats, and countermeasures of electric power networks with cost parameters. Various alternatives to electric power sector optimization are surveyed.

Suggested Citation

  • Mehmet Sahinoglu, 2023. "Optimal Risk Management of Electric Power Systems with CLOUD Simulation and Security Meter Algorithms," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 761-815, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_85
    DOI: 10.1007/978-3-030-97940-9_85
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