Special Issue "Power Converter Control Applications in Low-Inertia Power Systems"
Deadline for manuscript submissions: 20 February 2021.
Interests: Power system control and dynamics; Integration of Renewable based generation; Automatic generation control; Power converter application in the power system; Optimal control; heuristic algorithms applied to power systems
Interests: modeling power and energy systems; digital controls; digital transformation of the power system; numerical (co-)simulation; cyberphysical energy systems
Special Issues and Collections in MDPI journals
Interests: circuit theory; multiport power system analysis; HVDC-based systems; harmonic stability assessment of the hybrid power systems consisting of the passive and active components; impedance-based MMC and other VSC modeling; nonlinear controlling methods
As power electronic (PE) interfaced generation (PEIG) and load (PEIL) behave differently than conventional generation and load, it is of importance to study the possible impact of different types of PE-based energy sources in low-inertia power systems. In most research projects, control and optimization of high shared PE-based generation with different types of energy sources is considered as an immediate challenge of the future power grid.
Technological advances, such as the use of modern power electronic systems, energy storage, intelligence-based methods, and advanced control techniques in power systems, as well as the large-scale penetration of renewable energy sources, have led to a reformulation of the conventional power systems, moving toward a more flexible scheme. Wind and photovoltaic systems together with hybrid energy storage systems (HESS) are among the main technologies that are expected to become essential in future power systems. Embedding HESS to the modern power system will offer a bigger degree of freedom by applying advanced control concepts that are resilient and affordable with flexible operational capabilities.
Potential topics include, but are not limited to:
- Advanced control methodologies with dynamic stability assessment of low-inertia systems;
- Co-simulation and hardware-in-the-loop simulations for low-inertia systems;
- Flexible control algorithms for power electronics in AC/DC networks;
- Different control methodologies for providing virtual inertia;
- Wind power and energy storage integration.
Dr. Elyas Rakhshani
Prof. Peter Palensky
Dr. Aleksandra Lekić
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 2000 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.
- Control of AC/DC interconnected power systems
- Power converter control application
- Renewable energy integration
- Energy storage applications
- Low inertia power systems
- Frequency control
- Demand response
- Control systems
- Inertia emulation