The impact of power network congestion, its consequences and mitigation measures on air pollutants and greenhouse gases emissions. A case from Germany-Reference-Cited by-同舟云学术

The impact of power network congestion, its consequences and mitigation measures on air pollutants and greenhouse gases emissions. A case from Germany

Published:2021-10 Issue: Volume:150 Page:111501
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Monforti-Ferrario Fabio,Blanco Marta Poncela^ORCID

Funder

European Commission Joint Research Centre

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference42 articles.

1. Proposal for a regulation of the European Parliament and of the Council establishing the framework for achieving climate neutrality and amending Regulation (EU) 2018/1999 (European Climate Law),2020

2. 2019/943 of the European Parliament and of the Council of 5 June 2019 on the internal market for electricity’;European Commission;Official Journal of the European Union,2019

3. Capacity calculation: risks linked to a pan-European threshold- Focus on CACM implementation & more transparency;ENTSO-E,2018

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integration of energy communities in the electricity market: A hybrid agent-based modeling and bilevel optimization approach;Energy Reports;2024-12

2. Power Wheeling Pricing Considering Congestion in Power Network: A Review;American Journal of Engineering and Technology Management;2024-08-30

3. Re-dispatch simplification analysis: Confirmation holism and assessing the impact of simplifications on energy system model performance;Applied Energy;2024-07

4. Estimation of Power Transmission Distribution Factors for Predictive Control in Sub-transmission Areas;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11

5. Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI;Applied Energy;2024-02