Work

Two-stage stochastic scheduling of diverse flexible resources for enhancing resilience of high wind-penetrated power systems

Year: 2025

Type: article

Abstract: Typhoon events pose significant challenges to high wind-penetrated power systems. Despite the abundant wind energy they provide, they also compromise the security of power systems. To address this, effective day-ahead scheduling is essential for harnessing various resources and mitigating the adverse effects of typhoons. This paper integrates terrain considerations into the generation of typhoon wind fields and develops a multi-scenario model that captures uncertainties in both generation and load. A two-stage stochastic optimization model is proposed that coordinates a range of flexible resources – wind power generation, demand-side response, and energy storage – to minimize the expected total cost of day-ahead scheduling and real-time adjustments. Furthermore, a new metric, the Expected Cost of Real-Time Adjustments, is introduced to measure system resilience and validate its consistency in evaluating resilience levels. A case study based on actual elevation data from southeastern China demonstrates the efficacy of our approach in optimizing day-ahead scheduling, thereby bolstering system resilience in preparation for disasters.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.110750

Authors: Bohan Hu, Chengjin Ye, Zhukui Tan

Institution: Zhejiang University

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $3,920