Special Issue "Energy Scheduling and Trading in Microgrids and Local Energy Communities"
Deadline for manuscript submissions: 14 November 2020.
Interests: Power systems, power delivery and utilisation, smart grids, distribution system state estimation, distribution network energy management systems, demand side management
Interests: Market, Transactive energy management, Smart grid, IOT, Blockchain
We are pleased to announce this Special Issue on the topic "Energy Scheduling and Trading in Microgrids and Local Energy Communities".
Increasingly, the microgrid and local energy community concepts are being applied to integrate distributed energy resources into the power system and to achieve local balancing of generation and demand. Energy scheduling is particularly challenging in microgrids, since there is significant uncertainty on the supply side (due to the stochastic nature of renewable generation), and on the demand side (where local demands have higher levels of uncertainty than in large-scale grids). Recent research has also investigated local energy markets, which allow small-scale producers and consumers to trade energy directly with one another, in order to minimise their operational costs. Energy trading in microgrids and local energy communities presents many challenges, including the setting of fair trading prices, the allocation of network losses and charges, and the management of network constraints.
The aim of this Special Issue is to bring together new research that addresses issues related to energy scheduling and trading in microgrids and local energy communities. The scope of this Special Issue covers isolated microgrids (with no grid connection), embedded microgrids (can operate in grid-connected or island mode), and local energy communities (comprised of consumers cooperating to satisfy their energy needs using local production sources, and which are not designed to operate in an island mode).
We invite original and unpublished research work in the following areas including, but not limited to:
- Energy scheduling in microgrids and local energy communities
- Market models for energy trading in microgrids and local energy communities
- Energy exchange between multiple microgrids
- Optimisation techniques applied to microgrids and local energy communities
- Multi-agent systems applied to microgrids and local energy communities
- Field experiences from microgrids and local energy communities
Dr. Barry Hayes
Dr. Vahid Hosseinnezhad
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Local energy communities
- Energy scheduling
- Local energy markets
- Distributed energy resources
- Smart grids
- Energy management
- Optimisation techniques
- Multi-agent systems