Bi-Level Clustering Model to Maximize the Profits of Demand Response Aggregators in Electricity Markets-Reference-Cited by-同舟云学术

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Bi-Level Clustering Model to Maximize the Profits of Demand Response Aggregators in Electricity Markets

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)
language:
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Author:

Yu Yanan¹,Zhou Ji²,Fang Hui¹,Long Jiarui³,Li Jiaxun⁴

Affiliation:

1. Electric Power Research Institute State Grid Chongqing Electric Power Company,Chongqing,China

2. Smart Car Networking Technology Co., Ltd State Grid,Beijing,China

3. Chongqing University,School of Electrical Engineering,Chongqing,China

4. CQU-UC Joint Co-op Institute Chongqing University,Chongqing,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10135545/10135141/10135591.pdf?arnumber=10135591

Reference23 articles.

1. Real-Time Rolling Horizon Energy Management for the Energy-Hub-Coordinated Prosumer Community From a Cooperative Perspective

2. A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

3. A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

4. An Energy Sharing Game With Generalized Demand Bidding: Model and Properties

5. Risk-Averse Optimal Bidding Strategy for Demand-Side Resource Aggregators in Day-Ahead Electricity Markets Under Uncertainty

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