Integrated Energy Resource Planning and Operation for Active Distribution Network
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "L: Energy Sources".
Deadline for manuscript submissions: closed (5 October 2023) | Viewed by 229
Special Issue Editors
Interests: renewable energy; electric market; distribution network planning and optimization techniques
Interests: microgrid planning; distribution network optimization; electric market
Interests: data mining and artificial intelligence applied in renewable energy system and integrated energy system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As massive, distributed energy sources are integrated into the power distribution network, traditional distribution networks have been evolving into an active distribution network (ADN). Thanks to the development of photovoltaics (PVs), wind turbines (WTs), energy storage (ESS), electrical vehicles (EVs), controllable loads (CLs), etc., all of these distributed energy sources (DESs) are introducing planning and operation challenges into ADN. On the one hand, although the capacity of each individual DES is small, the number of DES integrated into the ADN is growing larger and larger, making the integrated controllability massive and essential for ADN. On the other hand, the intermittence and fluctuations of DESs lead to bi-directional power flows and frequent variations in the operation state. How to plan and control the integrated DES within the AND has attracted significant attention from academic and industry researchers.
This Special Issue aims to present and disseminate state-of-the-art integrated DES planning and operations for ADN.
Topics of interest for publication include, but are not limited to, the following:
- Distributed energy sources planning;
- Electricity market design to enable the integration of distributed energy sources;
- Multiple microgrids planning and operations
- Coordination of integrated energy sources and ADN;
- ADN planning and assessment models with large-scale DES;
- Stochastic and robust methods to deal with the uncertainties of planning and operations;
- Deep-learning-based methods for ADN awareness, control and so on;
- Impact of smart meters, PMUs and other new technologies for DES and ADN;
- Grid forming technologies for DES and ADN.
Dr. Zhi Wu
Dr. Yixin Liu
Dr. Huan Long
Guest Editors
Manuscript Submission Information
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