Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems, 2nd Edition
Abstract submission deadline: Closed (31 October 2024)
Manuscript submission deadline: Closed (31 December 2024)
Viewed by: 34,194
Dear Colleagues,
This topic continues from the previous successful series on “Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems.” The electrical power system is undergoing a transformation driven by advancements in telecommunications, computer hardware and software, measurement and metering systems, IoT, and power electronics. The increasing integration of intermittent renewable energy sources, energy storage devices, electric vehicles, and the push for energy efficiency is evolving traditional power systems into smarter grids. These grids are characterized by bidirectional flows of energy and information.
The evolution of the power grid, alongside its interconnections with energy storage systems and renewable energy sources, presents new opportunities for optimizing not only the techno-economic aspects during planning but also the control and operation of these systems. However, new challenges also arise in optimizing these systems due to their complexity, inherent uncertainties, and the nonlinear dynamics they exhibit.
We invite prospective authors to submit original research covering innovations in the optimization and optimal control of electrical power, energy storage, and renewable energy systems, as well as the challenges associated with their nonlinear, uncertain, and complex behaviors. Topics of interest include, but are not limited to:
- Novel approaches for optimizing the techno-economic aspects of electrical power, energy storage, or renewable energy systems during the planning phase.
- Nonlinear dynamics in electrical power, energy storage, or renewable energy systems.
- Nonlinear and optimal control strategies for microgrids, energy storage, or the integration of renewable energy systems into the power grid.
- Revenue maximization strategies for energy storage systems.
- Nonlinear state estimation for electrical power, energy storage, or renewable energy systems.
- Optimal power flow incorporating energy storage and/or renewable energy sources.
Topic Editors:
Prof. Dr. Victor M. Becerra
Prof. Dr. Ahmed Rachid
Keywords:
optimal control, nonlinear dynamics, optimization, nonlinear systems, nonlinear control, power systems, energy storage systems, renewable energy systems, renewable energy integration, smart grids, microgrids, electric vehicles, battery systems.
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC |
|---|---|---|---|---|---|
| Energies | 3.0 | 6.2 | 2008 | 16.8 Days | CHF 2600 |
| Processes | 2.8 | 5.1 | 2013 | 14.9 Days | CHF 2400 |
| Electronics | 2.6 | 5.3 | 2012 | 16.4 Days | CHF 2400 |
| Batteries | 4.6 | 4.0 | 2015 | 19.7 Days | CHF 2700 |
| Electricity | – | 4.8 | 2020 | 27.9 Days | CHF 1000 |
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Related Topic: Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems (81 articles)
Published Papers: 21 papers
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The above sections encapsulate the essence of the topic on optimisation, optimal control, and nonlinear dynamics in electrical power and renewable energy systems, detailing its objectives, key areas of focus, and avenues for publication.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/advancements-in-optimisation-and-control-for-electrical-power-and-renewable-energy-systems/
