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Distributed Energy Resources Management 2018

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The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

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Keywords

  • active distribution networks
  • active power control
  • adaptability
  • aggregator
  • algorithm design and analysis
  • autonomous control
  • batteries
  • bidding strategy
  • building climate control
  • Clustering
  • comprehensive benefits
  • control system
  • decentralized energy management system
  • demand response
  • demand-side management
  • distributed coordination
  • Distributed Energy
  • distributed energy resources
  • distributed generation
  • distributed generator
  • distribution system operator
  • droop control
  • DSM
  • Energy Efficiency
  • Energy Storage
  • energy storage system
  • fault-tolerant control
  • flexibility service
  • frequency bus-signaling
  • frequency control
  • healthy building
  • indoor environment quality
  • IoT (Internet of Things)
  • local energy trading
  • local flexibility market
  • low voltage networks
  • microgrid
  • microgrids
  • multi-agent synergetic estimation
  • multi-agent system
  • multi-agent technology
  • multi-period optimal power flow
  • multi-temporal optimal power flow
  • n/a
  • nonlinear control
  • occupant comfort
  • optimal scheduling
  • optimization
  • particle swarm optimization
  • power system management
  • prosumer
  • Smart grid
  • Smart Grids
  • solar
  • stackelberg dynamic game
  • Supply and demand
  • Swarm intelligence
  • synergistic optimization strategy
  • teaching-learning
  • trade agreements
  • unbalanced networks
  • virtual power plant
  • Wind

Links

DOI: 10.3390/books978-3-03928-171-8

Editions

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