Reprint
Distributed Power Generation Scheduling, Modelling and Expansion Planning
Edited by
June 2021
172 pages
- ISBN978-3-0365-0742-2 (Hardback)
- ISBN978-3-0365-0743-9 (PDF)
This book is a reprint of the Special Issue Distributed Power Generation Scheduling, Modelling and Expansion Planning that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
Benders’ decomposition; distributed generation planning (DGP); two-stage stochastic mixed-integer linear programming (MILP); renewable energy sources (RES); micro-grid; energy management system; IEC 61850; 5G; LoRa; multi-agent system; isolated AC/DC hybrid microgrid; two-layer consensus method; dynamic economic dispatch; distributed hierarchical strategy; MILP optimization; allocation; renewable energy sources; system modeling; energy storages; energy curtailment; mathematical programming; small scale distributed generation; distribution networks; active power management; battery degradation; electric vehicles; electric vehicles aggregator; electricity markets; stochastic programming; combined economic emission dispatch; environment-based demand response; emission constraints; penalty factor; weighting update artificial bee colony; distribution network planning; energy storage system; multi-objective optimization; optimal location; risk assessment; flexibility; distributed energy resources; distribution system operators; local services; system services; arbitrage; frequency control