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2013 | OriginalPaper | Chapter

Homeostatic Control and the Smart Grid: Applying Lessons from Biology

Author : Martin Beckerman

Published in: Optimization and Security Challenges in Smart Power Grids

Publisher: Springer Berlin Heidelberg

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Abstract

Electric power grids in this country and abroad are undergoing revolutionary changes through the increased integration of electric power generation, delivery and consumption with computation, communications, and cyber security. Emerging out of these activities is a smart grid that includes new technologies ranging from microgrids capable of islanded operation to wind power generation and electric vehicle supply. The success of this massive endeavor will depend on large measure on the development of control methodologies that maintain homeostasis in the face of natural stresses, malfunctions and deliberate attacks. The goal of this chapter is to sketch out possible control strategies for the future smart grid based upon insights into how living systems deal with these same issues. This is a broad topic and the particular focus here will be on presenting a simple model of control by neural and innate immune systems that could be applied to operational security at substations and microgrids.

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previous chapter Optimization Approaches to Security-Constrained Unit Commitment and Economic Dispatch with Uncertainty Analysis

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Title: Homeostatic Control and the Smart Grid: Applying Lessons from Biology
Author: Martin Beckerman
Publisher: Springer Berlin Heidelberg
Book: Optimization and Security Challenges in Smart Power Grids
Print ISBN: 978-3-642-38133-1

Electronic ISBN: 978-3-642-38134-8

Copyright Year: 2013
DOI: https://doi.org/10.1007/978-3-642-38134-8_2

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