Frontier Optimization Methods for Power System Planning and Operation under Multi-Resource Coupling and Multi-Scenario Drivers

Against the backdrop of high renewable penetration, the expansion of integrated energy paradigms, and compounded uncertainties, decision-making in power systems is shifting from “single-objective, single-scenario” optimization to a systematic methodological framework that embraces multi-resource coupling, multi-system coordination, and multi-scenario evolution. The variability and unpredictability of wind and photovoltaic generation are reshaping traditional supply–demand balancing, while the increasing frequency of extreme events such as typhoons and rainstorms is pushing power grids closer to their operational limits. This trend requires planning and operation to incorporate both risk awareness and pathways to enhance resilience.

To effectively address these challenges, several core technologies have emerged as key enablers: risk assessment under extreme scenarios enables more precise quantification of the impacts of hazards (e.g., typhoons and rainstorms) on power grids, thereby providing a scientific basis for risk-averse planning; coordinated planning of renewable generation and energy storage, aligned with grid characteristics, facilitates optimal capability matching across the supply and demand sides; advanced uncertainty analysis techniques, including probabilistic forecasting, combined with robust and stochastic optimization for operational regulation, can effectively reduce system volatility and ensure stable operation; fault identification and mitigation for integrated energy systems, supported by intelligent algorithms, enables rapid localization and handling of cross-network faults and thus strengthens operational security; and multi-service collaborative optimization coordinates and optimally allocates resources along the entire “generation–grid–load–storage–charging” chain to achieve efficient utilization of energy resources.

This special session aims to bring together these key technologies, foster multidisciplinary integration and breakthroughs, and provide strong support for improving the scientific rigor, granularity, and resilience of power system planning and operation. Topics include, but are not limited to:
1. Uncertainty Analysis and Optimization Technologies for the Operation of Renewable Energy Systems and EVs
2. Fault Identification and Coordinated Response Methods for Integrated Energy Systems
3. Operational Risk Assessment of Power Systems under Extreme Weather Scenarios
4. Collaborative Scheduling and High-Efficiency Optimization Technologies for Multi-Service Operation in New-Type Distribution and Utilization Systems
5. Advanced Optimization Methods for Coordinated Planning of Renewable Energy and Energy Storage Systems
6. Optimization Methods for handling Electricity Market Problems in Distribution Networks with Multiple Resources under Different Scenarios