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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| Year of Publication: | 2020 |
| Language: | English |
| Physical Description: | 1 electronic resource (286 p.) |
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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. | ||
| 546 | |a English | ||
| 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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