Advanced Solutions for Renewable Energy Integration and Distribution in Modern Power Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 8826
Special Issue Editors
Interests: renewable energy integration; renewable energy forecasting; power system optimization
Special Issue Information
Dear Colleagues,
Modern power systems evolve various technological innovations such as distributed renewable energy sources, energy storage devices, electric vehicle charging stations and advanced communication systems. The increasing penetration of distributed energy resources (DERs) into the grid comes with a raft of benefits and opportunities for the power system and its participants. However, the benefits of DERs may not be equitably distributed, especially with an ever-increasing level of renewable energy penetration and introduction of DERs in modern power system, the uncertain and variable nature of renewable energy impose new operation challenges to the electricity market, power system flexibility, resilience, sustainability, and reliability. Fortunately, modern artificial intelligence (AI) techniques such as deep learning and genetic approaches have been developed for addressing these issues in power systems with high renewable energy penetration. At the same time, appropriate policies and regulations are implemented to promote renewable energy integration and distribution in modern power systems. These techniques include but are not limited to marked-based peer-to-peer (P2P) strategies, transactive energy, blockchain techniques, and learning-based forecasting techniques. Integrating all of the aforementioned parts to obtain a sustainable, efficient, reliable, flexible, and resilient modern power system with high DER integration is still an emerging topic needing scientific advancement.
This Special Issue, entitled “Advanced solutions for renewable energy integration and distribution in modern power systems”, aims to present a collection of original, novel contributions focused on advancement in renewable energy integration and distribution technologies in modern power system. Potential topics of interest include, but are not limited to, the following:
- Distributed energy resource management and optimization
- Sharing of energy storage
- Providing demand flexibility to the grid
- Trading of renewable energy in smart grid
- Deterministic/probabilistic renewable energy forecasting
- Modelling flexibility of distributed energy resources
- DER participation in future electricity markets under uncertainty
- Transactive energy for DER management
- Peer to peer and community-based trading in local market
- Aggregation of DER in virtual power plants
Dr. Mucun Sun
Dr. Binghui Li
Guest Editors
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Keywords
- wind energy
- solar energy
- energy storage
- electricity market
- smart grids
- probabilistic forecasting
- deterministic forecasting
- hydropower systems
- distributed energy resources (DERs)
- blockchain
- peer-to-peer trading
- virtual power plants
- digital twin
- machine learning
- deep learning
- demand response
- energy sharing
- power system optimization
- transactive energy
- anomaly detection
- cyber security
- privacy preservation
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