Distributed Power Generation Scheduling, Modelling and Expansion Planning
Distributed generation is becoming more important in electrical power systems due to the decentralization of energy production. Within this new paradigm, new approaches for the operation and planning of distributed power generation are yet to be explored. This book deals with distributed energy reso...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_76369 | ||
| 005 | 20220111 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20220111s2021 xx |||||o ||| 0|eng d | ||
| 020 | |a books978-3-0365-0743-9 | ||
| 020 | |a 9783036507422 | ||
| 020 | |a 9783036507439 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.3390/books978-3-0365-0743-9 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a TB |2 bicssc | |
| 100 | 1 | |a Contreras, Javier |4 edt | |
| 700 | 1 | |a Muñoz-Delgado, Gregorio |4 edt | |
| 700 | 1 | |a Contreras, Javier |4 oth | |
| 700 | 1 | |a Muñoz-Delgado, Gregorio |4 oth | |
| 245 | 1 | 0 | |a Distributed Power Generation Scheduling, Modelling and Expansion Planning |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (172 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a Distributed generation is becoming more important in electrical power systems due to the decentralization of energy production. Within this new paradigm, new approaches for the operation and planning of distributed power generation are yet to be explored. This book deals with distributed energy resources, such as renewable-based distributed generators and energy storage units, among others, considering their operation, scheduling, and planning. Moreover, other interesting aspects such as demand response, electric vehicles, aggregators, and microgrid are also analyzed. All these aspects constitute a new paradigm that is explored in this Special Issue. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a Benders' decomposition | ||
| 653 | |a distributed generation planning (DGP) | ||
| 653 | |a two-stage stochastic mixed-integer linear programming (MILP) | ||
| 653 | |a renewable energy sources (RES) | ||
| 653 | |a micro-grid | ||
| 653 | |a energy management system | ||
| 653 | |a IEC 61850 | ||
| 653 | |a 5G | ||
| 653 | |a LoRa | ||
| 653 | |a multi-agent system | ||
| 653 | |a isolated AC/DC hybrid microgrid | ||
| 653 | |a two-layer consensus method | ||
| 653 | |a dynamic economic dispatch | ||
| 653 | |a distributed hierarchical strategy | ||
| 653 | |a MILP optimization | ||
| 653 | |a allocation | ||
| 653 | |a renewable energy sources | ||
| 653 | |a system modeling | ||
| 653 | |a energy storages | ||
| 653 | |a energy curtailment | ||
| 653 | |a mathematical programming | ||
| 653 | |a small scale distributed generation | ||
| 653 | |a distribution networks | ||
| 653 | |a active power management | ||
| 653 | |a battery degradation | ||
| 653 | |a electric vehicles | ||
| 653 | |a electric vehicles aggregator | ||
| 653 | |a electricity markets | ||
| 653 | |a stochastic programming | ||
| 653 | |a combined economic emission dispatch | ||
| 653 | |a environment-based demand response | ||
| 653 | |a emission constraints | ||
| 653 | |a penalty factor | ||
| 653 | |a weighting update artificial bee colony | ||
| 653 | |a distribution network planning | ||
| 653 | |a energy storage system | ||
| 653 | |a multi-objective optimization | ||
| 653 | |a optimal location | ||
| 653 | |a risk assessment | ||
| 653 | |a flexibility | ||
| 653 | |a distributed energy resources | ||
| 653 | |a distribution system operators | ||
| 653 | |a local services | ||
| 653 | |a system services | ||
| 653 | |a arbitrage | ||
| 653 | |a frequency control | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3794 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76369 |7 0 |z DOAB: description of the publication |