Optimal Design of Renewable Energy Systems in Smart Power Grid

Dear Colleagues,

Renewable energy sources, including bioenergy, wind energy, hydropower, photovoltaics, etc., can be integrated into the power system due to their ability to significantly reduce carbon dioxide emissions. Usually, these renewable energy sources operate islanded before being connected to the grid. Wind energy and photovoltaics, as examples, are affected by time and climate, making it difficult to achieve controllability, predictability, and variability of power output, thus making it difficult to balance supply and demand. This is very important when optimizing the design of renewable energy systems and integrating them into smart grid systems remains a challenging task. The definition of “smart grid” is currently unclear and lacks a common, precise definition. The US Department of Energy’s “Grid 2030” and the European Technology Forum have different expressions. It is generally understood that its technology can be roughly divided into four fields: advanced measurement systems, advanced distribution operations, advanced transmission operations, and advanced asset management. It can be seen that the development of smart grids is still in its infancy worldwide. We need to invest a lot of research to develop this emerging industry.

This Special Issue, titled “Optimal Design of Renewable Energy Systems in Smart Power Grid”, seeks high-quality works focusing on the application of advanced spatiotemporal transformation, advanced equipment technology, advanced control methods, and advanced decision support system technology, with the goal of reliable, economical, efficient, environmentally friendly, and safe use of the power grid. Its main features include self-healing, incentivizing and protecting users, resisting attacks, providing power quality that meets user needs, allowing access to various forms of power generation, initiating the electricity market, and optimizing the efficient operation of assets. Topics include, but are not limited to, the following: The various process technologies widely used in flexible electricity–chemicals interconversion, plant coordination, intelligent scheduling, power-to-chemicals storage, etc. Making the operation and control of the power grid more flexible and economical. Being able to adapt to a large number of distributed power sources, microgrids, and charging and discharging facilities, especially directly supplying electrical energy to electric vehicles through chemical energy. In addition, we welcome basic research based on mathematical models and site optimization/selection and economic evaluation.

Prof. Dr. Zucheng Wu
Guest Editor

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• optimal design
• renewable energy systems
• smart power grid
• energy processes
• energy forecasting
• artificial intelligent networks
• machine learning