Dynamic Triggering Strategy for VPPs Based on Physical Operating State and Electricity Market
Author:
Affiliation:
1. State Grid Shanghai Municipal Electric Power Company,Shanghai,China
2. Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,China
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511272/10512350/10513090.pdf?arnumber=10513090
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1. Experience of virtual power plant participating in peak-regulation and frequency-regulation;Li
2. Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
3. Variability and Trend-Based Generalized Rule Induction Model to NTL Detection in Power Companies
4. Fast Transient Stability Batch Assessment Using Cascaded Convolutional Neural Networks
5. Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning
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