Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach

By Nian Liu, Xinghuo Yu, Cheng Wang, Jinjian Wang. IEEE Transactions on Industrial Informatics, 2017

369 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e9e2c0c3aa716372587d4644f385b889c23fea86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Yan Zhang
2. H. Jia
3. Chongqing Kang
4. Qiuwei Wu
5. Xiaolong Jin
6. Yi Wang
7. Qixin Chen
8. Tao Hong

In Electrical and Electronic Engineering

1. Chongqing Kang
2. Sabita Maharjan
3. Yan Zhang
4. Qixin Chen
5. Yi Wang
6. H. Jia
7. Xiaolong Jin
8. Qiuwei Wu

Citations in the corpus

• Local flexibility markets: Literature review on concepts, models and clearing methods (2020, methodology): “Game theory-based models Noncooperative game theory [10], [118], [119], [120]-[125] Cooperative game theory [126]-[129] Auction theory-based models [131]-[134] Simulation models [12], [77], [138]-[143]”
• Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach (2020, background): “Unlike [26] that considered the interactions between microgrid operators (or aggregators [27]) and prosumers of a homogeneous energy trading system as a noncooperative, we consider the case of heterogeneous energy prosumers since they cannot be practicably isolated.”
• Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges (2018, background): “The consumers can share their rooftop PV [203] and storage [204] with their neighborhoods.”