Control and Optimization for Energy Management in Smart Grids and Renewable Energy Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (20 April 2022) | Viewed by 5744
Special Issue Editor
Interests: control and optimization; smart-grids; power electronics; robotics and bio-technology; demand response; demand side management; data-driven techniques
Special Issue Information
Dear Colleagues,
The energy sector, in particular electricity, is evolving toward a more sustainable model, supported by renewable sources, storage systems and active demand, in a distributed configuration. However, their performance, reliability, cost operation and market penetration depend on several interrelated factors, such as component sizing, scheduling, control strategies and the environment. To properly operate this complex and uncertain system, adequate management policies must be developed. Within this framework, optimization techniques and automatic control are key tools to produce novel strategies for the planning and operation of modern energy systems. Among these new tools there are agents such as aggregators, energy communities, virtual power plants, among many other entities, conceived to provide energy systems with more flexibility and resiliency.
This Special Issue will gather together recent results in the active area of optimization-based energy management and control. Topics of interest include, but are not limited, to the following:
- Learning-based and data-driven control strategies for energy management;
- Optimal microgrids operation under uncertainty;
- Distributed and consensus-based optimization in energy systems;
- Control strategies for charging stations, electric vehicles and fleets;
- Storage systems operation under uncertainty and aging constraints;
- Control of virtual power plants and flexible loads for the integration of renewable sources;
- Demand side management programs and contracts design for the involvement of “prosumers” in the grid.
Prof. Dr. Fredy Ruiz
Guest Editor
Manuscript Submission Information
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Keywords
- energy management
- demand side management
- virtual power plants
- renewable energy resources
- e-mobility
- electric vehicles
- flexible loads
- energy storage
- aggregators
- model predictive control
- mechanism design
- distributed optimization
- Bi-level programming
- stochastic optimization
- scenario approach
- robust optimization