Data-Driven Bidding Strategy for DER Aggregator Based on Gated Recurrent Unit–Enhanced Learning Particle Swarm Optimization

Data-Driven Bidding Strategy for DER Aggregator Based on Gated Recurrent Unit–Enhanced Learning Particle Swarm Optimization

Distributed energy resources (DERs) such as wind turbines (WTs), photovoltaics (PVs), energy storage systems (ESSs), local loads, and demand response (DR) are highly valued for environmental protection. However, their volatility poses several risks to the DER aggregator while formulating a profitabl...

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Bibliographic Details
Main Authors: Hyung Joon Kim, Hyun Joon Kang, Mun Kyeom Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bidding strategy
DER aggregator
gated recurrent unit–enhanced learning particle swarm optimization
information gap decision theory
uncertainty
Online Access:https://ieeexplore.ieee.org/document/9419049/

Internet

https://ieeexplore.ieee.org/document/9419049/

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