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With the advancement of "dual-carbon" goals and the construction of new power systems, massive amounts of flexible resources, including distributed photovoltaic, electric vehicles, and energy storage, are being integrated into the urban distribution network, upgrading it from a "passive network" to a complex active system with multi-level coordination of distribution, micro-energy, and energy storage. However, challenges such as strong uncertainties on both the source and load sides, conflicts between multiple objectives (safety, economy, and low carbon), and the inability to control and manage distributed resources effectively restricts the system's flexible adjustment capabilities and power supply quality. Therefore, this special issue aims to gather the latest research results in areas such as the coordinated optimization of multiple types of flexible resources, high-quality power supply assurance, and intelligent operation control, to address the deep-seated contradictions of energy transition, and to activate the potential value of distributed resources participating in system resilience regulation. Topics include, but are not limited to:
1. Deep Learning-Driven Source-Load Probabilistic Prediction and Its Application in Distribution Network Optimization;
2. Multi-Time-Scale Reactive Power-Voltage Co-optimization of Distribution Networks Considering Network Dynamics;
3. Customized Power Quality Strategies and Resource Optimization for Sensitive Loads in Distribution Networks;
4. Power Supply Reliability of Distribution Networks Considering Flexible Resource Support Capabilities;
5. Distribution Network Resilience Assessment and Enhancement Strategies Considering Extreme Weather Uncertainty
Prof. Gang Lin, Hunan University, China
Assoc. Prof. Jiayan Liu, Hunan University, China
Research Scientist Xin Cui, The University of Hong Kong, China
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