Muutke küpsiste eelistusi

E-raamat: Energy Markets and Responsive Grids: Modeling, Control, and Optimization

5.00/5 (2 hinnangut Goodreads-ist)
Edited by , Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - PDF+DRM
  • Hind: 221,68 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Energy Markets and Responsive Grids: Modeling, Control, and OptimizationSuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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 experts to discuss current and future challenges in energy markets and controls, along with potential solutions.

 

The volume includes chapters on significant challenges in the design of markets and incentives, integration of renewable energy and energy storage, risk management and resilience, and distributed and multi-scale optimization and control. Contributors include leading experts from academia and industry in power systems and markets as well as control science and engineering. 

 

This volume will be of use to experts and newcomers interested in all aspects of the challenges facing the creation of a more sustainable electricity infrastructure, in areas such as distributed and stochastic optimization and control, stability theory, economics, policy, and financial mathematics, as well as in all aspects of power system operation.

 

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.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97814939782292e.html
Märksõnad: