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Introduction

  • Rush D. RobinettIII
  • David G. Wilson
Part of the Understanding Complex Systems book series (UCS)

Abstract

In this book, we present an innovative control system design methodology. This design methodology is based on the latest research and development results at Sandia National Laboratories within the renewable energy electric power grid integration program. This research focused on the convergence of three goals. The first goal was to create a unifying metric to compare the value of different energy sources integrated into the electric power grid such as a coal-burning power plant, wind turbines, solar photovoltaics, etc., instead of the typical metric of costs/profit. The second goal was to develop a new nonlinear control tool that applies power flow control, thermodynamics, and complex adaptive systems theory to the energy grid in a consistent progression. The third goal was to apply collective robotics theories to the creation of high-performance teams of people and optimal individuals. This is one approach to account for the effects of individuals and groups of people that will be controlling and selling power into a distributed, decentralized electric power grid. Concepts from thermodynamics, mechanics, stability and control, and advanced control design are presented in Part I. This provides the reader with the fundamental building blocks of the Hamiltonian Surface Shaping and Power Flow Control (HSSPFC) design plus analysis process. HSSPFC is applied to eight case studies in Part II. These range from integrating renewable energy generators into the grid and microgrids to satellite reorientation maneuvers to control of robotic manipulators. The last part, Part III, develops design and analysis tools for self-organizing systems.

Keywords

Wind Turbine Stability Boundary Power Flow Sandia National Laboratory Limit Cycle Oscillation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Sandia National LaboratoriesAlbuquerqueUSA

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