Distributed Power Generation Scheduling, Modeling, and Expansion Planning
- Distributed power generation modeling;
- Integration of distributed generation in distribution systems and smart grids;
- Distributed power generation expansion planning;
- Optimal scheduling of distributed power generation;
- Distributed generation in a transactive energy framework.
- Benders decomposition for renewable generation investment;
- Micro-grid management;
- Economic dispatch for hybrid micro-grids;
- Energy storage and curtailment;
- Distributed generation capacity allocation and control;
- Charging of electric vehicles;
- Environmentally-based economic dispatch and demand response;
- Battery energy sources usage.
- Submissions (19);
- Publications (8);
- Rejections (11);
- Article type: review article (1) and research article (7).
- Korea (2);
- Spain (1);
- China (1);
- Poland (1);
- Croatia (1);
- Portugal (1);
- Italy (1).
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Montoya-Bueno, S.; Muñoz-Hernandez, J.; Contreras, J.; Baringo, L. A Benders’ Decomposition Approach for Renewable Generation Investment in Distribution Systems. Energies 2020, 13, 1225. [Google Scholar] [CrossRef] [Green Version]
- Tightiz, L.; Yang, H.; Piran, M. A Survey on Enhanced Smart Micro-Grid Management System with Modern Wireless Technology Contribution. Energies 2020, 13, 2258. [Google Scholar] [CrossRef]
- Jiang, K.; Wu, F.; Shi, L.; Lin, K. Distributed Hierarchical Consensus-Based Economic Dispatch for Isolated AC/DC Hybrid Microgrid. Energies 2020, 13, 3209. [Google Scholar] [CrossRef]
- Andrychowicz, M. Comparison of the Use of Energy Storages and Energy Curtailment as an Addition to the Allocation of Renewable Energy in the Distribution System in Order to Minimize Development Costs. Energies 2020, 13, 3746. [Google Scholar] [CrossRef]
- Čađenović, R.; Jakus, D. Maximization of Distribution Network Hosting Capacity through Optimal Grid Reconfiguration and Distributed Generation Capacity Allocation/Control. Energies 2020, 13, 5315. [Google Scholar] [CrossRef]
- Gomes, I.; Melicio, R.; Mendes, V. Comparison between Inflexible and Flexible Charging of Electric Vehicles—A Study from the Perspective of an Aggregator. Energies 2020, 13, 5443. [Google Scholar] [CrossRef]
- Ryu, H.; Kim, M. Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm. Energies 2020, 13, 6450. [Google Scholar] [CrossRef]
- Celli, G.; Pilo, F.; Pisano, G.; Ruggeri, S.; Soma, G. Relieving Tensions on Battery Energy Sources Utilization among TSO, DSO, and Service Providers with Multi-Objective Optimization. Energies 2021, 14, 239. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Contreras, J.; Muñoz-Delgado, G. Distributed Power Generation Scheduling, Modeling, and Expansion Planning. Energies 2021, 14, 7757. https://doi.org/10.3390/en14227757
Contreras J, Muñoz-Delgado G. Distributed Power Generation Scheduling, Modeling, and Expansion Planning. Energies. 2021; 14(22):7757. https://doi.org/10.3390/en14227757
Chicago/Turabian StyleContreras, Javier, and Gregorio Muñoz-Delgado. 2021. "Distributed Power Generation Scheduling, Modeling, and Expansion Planning" Energies 14, no. 22: 7757. https://doi.org/10.3390/en14227757
APA StyleContreras, J., & Muñoz-Delgado, G. (2021). Distributed Power Generation Scheduling, Modeling, and Expansion Planning. Energies, 14(22), 7757. https://doi.org/10.3390/en14227757