Multi-objective Optimization Based Bidding Strategy for DER Aggregators in Ancillary Services Market Considering Environmental Benefits-Reference-Cited by-同舟云学术

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Multi-objective Optimization Based Bidding Strategy for DER Aggregators in Ancillary Services Market Considering Environmental Benefits

Published:2023-12-03 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)
language:
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Author:

Sun Qinfei¹,Wang Liyong¹,Zhu Xinyu²,Cao Xin¹,Ge Xinxin²,Dai Haonan²,Wang Ge²,Wang Fei²

Affiliation:

1. State Grid Beijing Electric Power Research Institute,Beijing,China,100075

2. North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406302/10407105/10408627.pdf?arnumber=10408627

Reference20 articles.

1. Optimal Bidding Strategy of Demand Response Aggregator Based On Customers’ Responsiveness Behaviors Modeling Under Different Incentives

2. Household profile identification for behavioral demand response: A semi-supervised learning approach using smart meter data

3. Modeling and Optimizing Recovery Strategies for Power Distribution System Resilience

4. Meta-Heuristic Optimization Based Two-stage Residential Load Pattern Clustering Approach Considering Intracluster Compactness and Inter-cluster Separation

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