Distributed Energy Resources Management 2018

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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Vale, Zita, Faria, Pedro
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2021
Aiheet:
Linkit:43641
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
_version_ 1869520170687397888
author Vale, Zita
Faria, Pedro
author_browse Faria, Pedro
Vale, Zita
author_facet Vale, Zita
Faria, Pedro
author_sort Vale, Zita
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-45287
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-452872024-09-16T10:17:05Z Distributed Energy Resources Management 2018 Vale, Zita Faria, Pedro TA1-2040 T1-995 n/a virtual power plant bidding strategy local flexibility market multi-period optimal power flow flexibility service occupant comfort unbalanced networks decentralized energy management system autonomous control optimization energy storage microgrids energy efficiency distributed energy control system DSM optimal scheduling adaptability synergistic optimization strategy teaching-learning distributed generation energy storage system stackelberg dynamic game IoT (Internet of Things) supply and demand comprehensive benefits distributed generator frequency bus-signaling active distribution networks swarm intelligence wind multi-agent technology solar power system management fault-tolerant control indoor environment quality multi-temporal optimal power flow multi-agent synergetic estimation smart grids local energy trading active power control prosumer microgrid trade agreements healthy building smart grid nonlinear control algorithm design and analysis batteries droop control distributed energy resources aggregator multi-agent system frequency control particle swarm optimization distribution system operator building climate control low voltage networks demand Response clustering distributed coordination demand-side management demand response thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-11T11:35:04Z 2021-02-11T11:35:04Z 2020-01-30 16:39:46 2020 book 43641 9783039281718 9783039281701 https://directory.doabooks.org/handle/20.500.12854/45287 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International ttps://www.mdpi.com/books/pdfview/book/1976 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-171-8 10.3390/books978-3-03928-171-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039281718 9783039281701 286 open access
spellingShingle TA1-2040
T1-995
n/a
virtual power plant
bidding strategy
local flexibility market
multi-period optimal power flow
flexibility service
occupant comfort
unbalanced networks
decentralized energy management system
autonomous control
optimization
energy storage
microgrids
energy efficiency
distributed energy
control system
DSM
optimal scheduling
adaptability
synergistic optimization strategy
teaching-learning
distributed generation
energy storage system
stackelberg dynamic game
IoT (Internet of Things)
supply and demand
comprehensive benefits
distributed generator
frequency bus-signaling
active distribution networks
swarm intelligence
wind
multi-agent technology
solar
power system management
fault-tolerant control
indoor environment quality
multi-temporal optimal power flow
multi-agent synergetic estimation
smart grids
local energy trading
active power control
prosumer
microgrid
trade agreements
healthy building
smart grid
nonlinear control
algorithm design and analysis
batteries
droop control
distributed energy resources
aggregator
multi-agent system
frequency control
particle swarm optimization
distribution system operator
building climate control
low voltage networks
demand Response
clustering
distributed coordination
demand-side management
demand response
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Vale, Zita
Faria, Pedro
Distributed Energy Resources Management 2018
title Distributed Energy Resources Management 2018
title_full Distributed Energy Resources Management 2018
title_fullStr Distributed Energy Resources Management 2018
title_full_unstemmed Distributed Energy Resources Management 2018
title_short Distributed Energy Resources Management 2018
title_sort distributed energy resources management 2018
topic TA1-2040
T1-995
n/a
virtual power plant
bidding strategy
local flexibility market
multi-period optimal power flow
flexibility service
occupant comfort
unbalanced networks
decentralized energy management system
autonomous control
optimization
energy storage
microgrids
energy efficiency
distributed energy
control system
DSM
optimal scheduling
adaptability
synergistic optimization strategy
teaching-learning
distributed generation
energy storage system
stackelberg dynamic game
IoT (Internet of Things)
supply and demand
comprehensive benefits
distributed generator
frequency bus-signaling
active distribution networks
swarm intelligence
wind
multi-agent technology
solar
power system management
fault-tolerant control
indoor environment quality
multi-temporal optimal power flow
multi-agent synergetic estimation
smart grids
local energy trading
active power control
prosumer
microgrid
trade agreements
healthy building
smart grid
nonlinear control
algorithm design and analysis
batteries
droop control
distributed energy resources
aggregator
multi-agent system
frequency control
particle swarm optimization
distribution system operator
building climate control
low voltage networks
demand Response
clustering
distributed coordination
demand-side management
demand response
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet TA1-2040
T1-995
n/a
virtual power plant
bidding strategy
local flexibility market
multi-period optimal power flow
flexibility service
occupant comfort
unbalanced networks
decentralized energy management system
autonomous control
optimization
energy storage
microgrids
energy efficiency
distributed energy
control system
DSM
optimal scheduling
adaptability
synergistic optimization strategy
teaching-learning
distributed generation
energy storage system
stackelberg dynamic game
IoT (Internet of Things)
supply and demand
comprehensive benefits
distributed generator
frequency bus-signaling
active distribution networks
swarm intelligence
wind
multi-agent technology
solar
power system management
fault-tolerant control
indoor environment quality
multi-temporal optimal power flow
multi-agent synergetic estimation
smart grids
local energy trading
active power control
prosumer
microgrid
trade agreements
healthy building
smart grid
nonlinear control
algorithm design and analysis
batteries
droop control
distributed energy resources
aggregator
multi-agent system
frequency control
particle swarm optimization
distribution system operator
building climate control
low voltage networks
demand Response
clustering
distributed coordination
demand-side management
demand response
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url 43641
work_keys_str_mv AT valezita distributedenergyresourcesmanagement2018
AT fariapedro distributedenergyresourcesmanagement2018