Distributed Energy Resources Management

At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehi...

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Bibliographic Details
Main Author: Faria, Pedro (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
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DOAB: description of the publication
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245 1 0 |a Distributed Energy Resources Management 
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520 |a At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use. 
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546 |a English 
653 |a autonomous operation 
653 |a energy management system 
653 |a stochastic programming 
653 |a co-generation 
653 |a Unit Commitment (UC) 
653 |a distributed system 
653 |a demand-side energy management 
653 |a virtual power plant 
653 |a Powell direction acceleration method 
653 |a average consensus algorithm (ACA) 
653 |a transmission line 
653 |a interval optimization 
653 |a renewable energy 
653 |a microgrids 
653 |a scheduling 
653 |a business model 
653 |a non-cooperative game (NCG) 
653 |a domestic energy management system 
653 |a time series 
653 |a energy trading 
653 |a decision-making under uncertainty 
653 |a Demand Response Unit Commitment (DRUC) 
653 |a real-time simulation 
653 |a distributed generation 
653 |a discrete wavelet transformer 
653 |a microgrid (MG) 
653 |a probabilistic programming 
653 |a optimal bidding 
653 |a ac/dc hybrid microgrid 
653 |a building energy flexibility 
653 |a storage 
653 |a uncertainty 
653 |a Cat Swarm Optimization (CSO) 
653 |a advance and retreat method 
653 |a multiplier method 
653 |a microgrid 
653 |a Demand Response (DR) 
653 |a electricity markets 
653 |a aggregators 
653 |a fault localization 
653 |a aggregator 
653 |a consensus algorithm 
653 |a black start 
653 |a microgrid operation 
653 |a local controller 
653 |a thermal comfort 
653 |a diffusion strategy 
653 |a optimal operation 
653 |a power system restoration (PSR) 
653 |a energy flexibility 
653 |a ARIMA 
653 |a pricing strategy 
653 |a clustering 
653 |a adaptive droop control 
653 |a multi-agent system (MAS) 
653 |a hierarchical game 
653 |a energy flexibility potential 
653 |a demand response 
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