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...

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Bibliographic Details
Main Author: Vale, Zita (auth)
Other Authors: Faria, Pedro (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
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DOAB: description of the publication
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520 |a 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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653 |a n/a 
653 |a virtual power plant 
653 |a bidding strategy 
653 |a local flexibility market 
653 |a multi-period optimal power flow 
653 |a flexibility service 
653 |a occupant comfort 
653 |a unbalanced networks 
653 |a decentralized energy management system 
653 |a autonomous control 
653 |a optimization 
653 |a energy storage 
653 |a microgrids 
653 |a energy efficiency 
653 |a distributed energy 
653 |a control system 
653 |a DSM 
653 |a optimal scheduling 
653 |a adaptability 
653 |a synergistic optimization strategy 
653 |a teaching-learning 
653 |a distributed generation 
653 |a energy storage system 
653 |a stackelberg dynamic game 
653 |a IoT (Internet of Things) 
653 |a supply and demand 
653 |a comprehensive benefits 
653 |a distributed generator 
653 |a frequency bus-signaling 
653 |a active distribution networks 
653 |a swarm intelligence 
653 |a wind 
653 |a multi-agent technology 
653 |a solar 
653 |a power system management 
653 |a fault-tolerant control 
653 |a indoor environment quality 
653 |a multi-temporal optimal power flow 
653 |a multi-agent synergetic estimation 
653 |a smart grids 
653 |a local energy trading 
653 |a active power control 
653 |a prosumer 
653 |a microgrid 
653 |a trade agreements 
653 |a healthy building 
653 |a smart grid 
653 |a nonlinear control 
653 |a algorithm design and analysis 
653 |a batteries 
653 |a droop control 
653 |a distributed energy resources 
653 |a aggregator 
653 |a multi-agent system 
653 |a frequency control 
653 |a particle swarm optimization 
653 |a distribution system operator 
653 |a building climate control 
653 |a low voltage networks 
653 |a demand Response 
653 |a clustering 
653 |a distributed coordination 
653 |a demand-side management 
653 |a demand response 
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