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Analysis And Decision-Making Of Excess Renewable Energy Consumption Trading Between Electricity Retailers Based On Evolutionary Game

  • Published:2021-10-22 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)
  • language:
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Author:

Liang Bo1,Xie Lei1,Li Hanqi1,Dai Shangwen2,Yang Yang1,Chen Guanting2

Affiliation:

1. State Grid Shandong Electric Power Company Marketing Service Center (Metrology Center) State Grid Shandong Electric Power Company,Jinan,China

2. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Shandong University,Jinan,China

Funder

State Grid Shandong Electric Power Company Project

Publisher

IEEE

Reference12 articles.

1. Australian renewable energy policy: Barriers and challenges

2. Effectiveness through risk reduction: a comparison of the renewable obligation in England and Wales and the feed-in system in Germany

3. Darwin in Smart Power Grids - Evolutionary Game Theory for Analyzing Self-Organization in Demand-Side Aggregation

4. Market Mechanism Design of Renewable Energy Accommodation Responsibility Weight under Spot Market Environment;lin;Electric Power,2020

5. Mechanism design and impact analysis of renewable portfolio standard;jiang;Automation of Electric Power Systems,2020

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1. Green Certificates Research: Bibliometric Assessment of Current State and Future Directions;Sustainability;2024-01-29

2. An internal and external coordinated transaction model for load aggregator under the multi-market driven by dual carbon goals;2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022);2022-05-17
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