With the increasingly serious energy crisis and environmental pollution, renewable energy techniques have been regarded as an inevitable choice to ensure secure and sustainable energy supply. In recent years, the installed capacities of renewable generations such as wind power and photovoltaic are rapidly ...
With the increasingly serious energy crisis and environmental pollution, renewable energy techniques have been regarded as an inevitable choice to ensure secure and sustainable energy supply. In recent years, the installed capacities of renewable generations such as wind power and photovoltaic are rapidly increasing, changing power generating sources of power systems from predominantly fossil power generation to high penetration of renewable generations. Unfortunately, uncertainty and variability of high penetration renewables will pose huge operational challenges in today’s power systems. Meanwhile, new emerging techniques such as smart inverters, peer-to-peer energy trading and machine learning provide more regulatory means for better integration of high-penetration renewables.
Driven by the fundamental push for a clean and sustainable power supply, this Research Topic will explore the promising research field of high-penetration renewables integration (HPRI). Both Original Research and Review papers are welcome. Topics of interests include, but are not limited to, the following aspects:
- smart inverters,
- communication protocols in smart grid - IEC61850 and others,
- interoperability of renewable devices and systems,
- peer-to-peer energy trading,
- renewable forecasting,
- machine learning applications in smart grids.
Keywords:
High-penetration, Renewable intergration, Uncertainty, Planning, Operation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.