Energy Markets and Responsive Grids Modeling, Control, and Optimization /

This volume consists of selected essays by participants of the workshop Control at Large Scales: Energy Markets and Responsive Grids held at the Institute for Mathematics and its Applications, Minneapolis, Minnesota, U.S.A. from May 9-13, 2016. The workshop brought together a diverse group of expert...

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Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: New York, NY : Springer New York , 2018.
Vydání:1st ed. 2018.
Edice:The IMA Volumes in Mathematics and its Applications, 162
Témata:
System theory.
Mathematics.
Mathematical optimization.
Control engineering.
ISBN:9781493978229
ISSN:0940-6573 ;
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Obsah:
  • Introduction
  • How to Manage the Complexity of the Grid
  • Naïve Electicity Markets
  • Capacity Markets: Rationale, Designs and Trade-offs
  • Redesign of U.S. Electricity Capacity Markets
  • A Swing-Contract Market Design for Flexible Service Provision in Electric Power Systems
  • A Dynamic Framework for Electricity Markets
  • Fast Market Clearing Algorithms
  • Small Resource Integration Challenges for Large-Scale SCUC
  • Multi-Grid Schemes for Multi-Scale Coordination of Energy Systems
  • Graphical Models and Belief Propagation Hierarchy for Physics-Constrained Network Flows
  • Profit Maximizing Storage Integration in AC Power Networks
  • Virtual Inertia Placement in Electric Power Grids
  • A Hierarchy of Models for Inverter-Based Microgrids
  • Asynchronous Coordination of Distributed Energy Resources with Packetized Energy Management
  • Ensemble Control of Cycling Energy Loads: Markov Decision Approach
  • Distributed Control Design for Balancing the Grid Using Flexible Loads
  • Disaggregating Load by Type from Distribution System Measurements in Real-Time
  • Risk-Aware Demand Management of Aggregators Participating in Energy Programs with Utilities
  • Towards Resilience-Aware Resource Allocation and Dispatch in Electricity Distribution Networks
  • A Cautionary Tale: On the Effectiveness of Inertia-Emulating Load as a Cyber-Physical Attack Path.

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