Generation–grid–load–storage coordination for a park-level integrated energy microgrid under new-type power systems
Tianjin University · State Grid Corporation of China (China) · +1 more institution
Abstract
Enhancing energy allocation efficiency in park-level Integrated Energy Microgrids (IEMs) is crucial for advancing New-Type Power Systems (NTPS). This study develops a Generation–Grid–Load–Storage (GGLS) collaborative coordination framework designed to address the operational challenges associated with high wind power penetration and its inherent stochasticity. A stochastic opportunity-constrained planning method is formulated to accurately characterize the variability of wind generation. To handle the large-scale uncertainty scenarios, a Backpropagation Neural Network (BPNN) is employed for dimensionality reduction and representative scenario extraction. Furthermore, a collaborative optimization model for the…
Citation impact
- FWCI
- 105.66
- Percentile
- 100%
- References
- 33
Authors
14- QMQinglin MengCorresponding
Tianjin University, State Grid Corporation of China (China), Tianjin Research Institute of Electric Science (China)
- LZLongqian Zhao
State Grid Corporation of China (China)
- QSQiang She
State Grid Corporation of China (China)
- QGQiang Guo
State Grid Corporation of China (China)
- LGLei Guo
State Grid Corporation of China (China)
Topics & keywords
- Microgrid
- Wind power
- Scalability
- Robustness (evolution)
- Artificial neural network
- Electric power system
- Genetic algorithm
- Curse of dimensionality
- Affordable and clean energy