The application of renewable energies such as wind and solar has become an inevitable choice for many countries in order to achieve sustainable and healthy economic development. However, due to the intermittent characteristics of renewable energy, the issue with integrating a larger proportion of renewable energy into the grid becomes prominent. Currently, an energy system with weak coordination capability seriously affects the flexibility of power system operation. As a result, this has led to the development of an effective way to integrate high-proportion renewable energy by developing multienergy systems including wind, solar, thermal, and energy storage to allow for the integration and coordination of different energy resources.

The major challenge of the multienergy system is its complexity with multispatial and multitemporal scales. Compared with the traditional power system, control and optimization of the complex energy system become more difficult in terms of modeling, operation, and planning. The main purpose of the complex energy system is to coordinate the operation with various distributed energy resources (DERs), energy storage systems, and power grids to ensure its reliability, while reducing the operating costs and achieving the optimal economic benefits. Therefore, research on the advanced control and optimization of complex energy systems becomes indispensable.

The purpose of this Special Issue is to provide a timely opportunity for researchers to share their latest discoveries in the area of advanced control and optimization of complex energy systems. Particularly, authors are encouraged to submit their original research and review articles in theoretical, methodological, or practical focuses, such as simulation models, algorithms, experiments, and applications about advanced control and optimization techniques for complex energy systems.

Potential topics include but are not limited to the following:

• Advanced control and optimization for complex energy systems with multiple energy storage systems, generators, and motors
• Advanced control and optimization for complex energy systems including multiple renewable energy systems, such as wind and solar energy
• Advanced control and optimization for complex energy systems with a large number of DERs
• Modeling, simulation, and analysis for resilience of complex energy systems
• Nonlinear dynamics and robustness for complex energy systems
• Coordination between transmission network and distribution system under complex energy systems in the presence of DERs
• Techniques for accelerating multiscale dynamic simulations of complex energy systems
• Optimal operation, protection, and planning for complex energy systems
• Field test and measurements of complex energy systems for model validation