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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | The IMA Volumes in Mathematics and its Applications,
162 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.