Abstract
With growing concerns on environmental pollution and energy crisis together with the low-carbon transition requirements, renewable energy techniques have been regarded as a crucial solution for ensuring energy clean and sustainable development. Worldwide countries have formulated longterm renewable energy development plans to promote large scale integration of renewable generations into smart grids. However, the variability of renewables will significantly increase the risks and complexities involved in system management and operation during this ongoing energy system transformation. Simultaneously, new emerging techniques in forecasting, operation and optimization provide more regulatory means available for better high-penetration renewable integration (HPRI).
This Special Issue is organized to introduce the latest research in the field of HPRI. At present, there are five papers have been accepted for this Special Issue, which can be sorted into the following three categories including, 1) Review of techniques; 2) Uncertainty modeling of power systems; and 3) Migration paths for smart grids. The three sections below respectively introduce the major researches and contributions of the papers covered in each category.
This Special Issue is organized to introduce the latest research in the field of HPRI. At present, there are five papers have been accepted for this Special Issue, which can be sorted into the following three categories including, 1) Review of techniques; 2) Uncertainty modeling of power systems; and 3) Migration paths for smart grids. The three sections below respectively introduce the major researches and contributions of the papers covered in each category.
Original language | English |
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Article number | 617556 |
Journal | Frontiers in Energy Research |
Volume | 8 |
DOIs | |
Publication status | Published - 24 Nov 2020 |
Keywords
- migration paths
- renewable forecasting
- renewable integration
- smart grid
- uncertainty
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Fuel Technology
- Energy Engineering and Power Technology
- Economics and Econometrics