Multi-Timescale Risk-Aware Planning for High-Renewable Power Systems: A Review and Analytical Framework

Coordinated Multi-Time-Scale Low-Carbon Economic Dispatch Strategy for Integrated Energy Systems Considering Source-Load Uncertainties

The growing penetration of renewable energy sources introduces significant uncertainties into integrated energy systems (IESs). Conventional single-timescale management strategies, typically designed for static power balance, fail to address the symmetry of source-load uncertainties arising from both supply and demand...

Multi-Timescale Low-Carbon Economic Dispatch of V2G-Integrated Energy Systems Considering Battery Physical Characteristics

: To address dispatch inaccuracies caused by neglecting battery physical boundaries and cyclic degradation during vehicle-to-grid (V2G) interactions, alongside power imbalances from stochastic wind fluctuations, this paper proposes a multi-timescale low-carbon economic dispatch strategy for V2G-integrated energy system...

Risk-Aware Economic Scheduling for Hydrogen-Enabled Building Energy Systems Considering Extreme Weather Events

ADVANCED UNCERTAINTY QUANTIFICATION AND MULTI-OBJECTIVE OPTIMIZATION FRAMEWORKS FOR ENHANCING RESILIENCE AND EFFICIENCY IN INTEGRATED RENEWABLE ENERGY SYSTEMS

The increased interdependency among the renewable energy source, energy storage systems, and computer-based control systems has transformed the power grid of today into a high-tech, adaptive network, but now increasingly susceptible to stochastic fluctuation and cascading uncertainties. This paper presents a next-gener...

Integrated Degradation-Aware and Uncertainty-Driven Techno-Economic Planning of Hybrid Renewable Microgrids

Hybrid renewable microgrids are increasingly considered a practical solution for supplying reliable and sustainable electricity to remote regions. However, many planning studies do not consider the longer-term effects of battery degradation and the effect of changing operating conditions on system performance. This stu...

Scenario-Based Intraday Multi-Service Co-Optimization and Grid-Value Assessment of Renewable Power Plants with Co-Located Energy Storage

Renewable power plants with co-located battery energy storage systems (BESSs) coordinate forecast-deviation control, renewable-surplus management, electricity-price arbitrage, and ancillary-service commitments through the shared power and energy capability of the battery. This study develops a layered framework for sce...