Optimizing Joint Bidding and Incentivizing Strategy for Price-Maker Load Aggregators Based on Multi-Task Multi-Agent Deep Reinforcement Learning
The increasing penetration of renewable energy sources poses significant challenges for modern power systems, particularly in supply-demand balance and peak regulation. Load aggregators (LAs) play a crucial role by integrating small to medium-sized loads and coordinating demand response (DR). Howeve...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10742324/ |
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