TY - GEN AU - Vale,Zita AU - Faria,Pedro TI - Distributed Energy Resources Management 2018 SN - books978-3-03928-171-8 PY - 2020/// PB - MDPI - Multidisciplinary Digital Publishing Institute KW - n/a KW - virtual power plant KW - bidding strategy KW - local flexibility market KW - multi-period optimal power flow KW - flexibility service KW - occupant comfort KW - unbalanced networks KW - decentralized energy management system KW - autonomous control KW - optimization KW - energy storage KW - microgrids KW - energy efficiency KW - distributed energy KW - control system KW - DSM KW - optimal scheduling KW - adaptability KW - synergistic optimization strategy KW - teaching-learning KW - distributed generation KW - energy storage system KW - stackelberg dynamic game KW - IoT (Internet of Things) KW - supply and demand KW - comprehensive benefits KW - distributed generator KW - frequency bus-signaling KW - active distribution networks KW - swarm intelligence KW - wind KW - multi-agent technology KW - solar KW - power system management KW - fault-tolerant control KW - indoor environment quality KW - multi-temporal optimal power flow KW - multi-agent synergetic estimation KW - smart grids KW - local energy trading KW - active power control KW - prosumer KW - microgrid KW - trade agreements KW - healthy building KW - smart grid KW - nonlinear control KW - algorithm design and analysis KW - batteries KW - droop control KW - distributed energy resources KW - aggregator KW - multi-agent system KW - frequency control KW - particle swarm optimization KW - distribution system operator KW - building climate control KW - low voltage networks KW - demand Response KW - clustering KW - distributed coordination KW - demand-side management KW - demand response N1 - Open Access N2 - 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 UR - https://www.mdpi.com/books/pdfview/book/1976 UR - https://directory.doabooks.org/handle/20.500.12854/45287 ER -