Abstract: [Objective] Due to its potential for black start, pumped storage units, when combined with the multi-energy complementary advantages of integrated energy systems (IES), are well-suited for restoring system operation under extreme events. To investigate the recovery mechanism of IES after disasters, this paper proposes an optimized scheduling model for a cold-thermal-electricity integrated energy system (CHEIES) under black start conditions with pumped storage. [Methods] First, to handle the uncertainties in wind, solar, and cold-thermal power, a stochastic scenario optimization approach is employed. Latin hypercube sampling is used to generate a large number of random wind, solar, and cold-thermal scenarios, and the number of scenarios is reduced using a probability distance reduction method. Next, for the black start of CHEIES, pumped storage is used as the black start power source to provide startup power for combined heat and power (CHP) units. The core consideration is the benefit of black start, and a single-objective optimization scheduling model is constructed, integrating cold-thermal-electricity power balance constraints to ensure stable operation of the IES under various load conditions. Finally, simulations are conducted to solve the model, analyzing optimal scheduling strategies and economic benefits under various operating scenarios. [Results] Through the analysis of five different operating schemes under varying load conditions, the scheme with the highest overall efficiency was identified, achieving optimal system performance and economic benefits. [Conclusions] The results demonstrate that the proposed method can fully exploit the reliability, economy, and flexibility of CHEIES in emergency situations, providing strategic support for the rapid recovery of IES after extreme events.

Key words: pumped storage, grey start, cold-thermal-electricity integrated energy system, optimization scheduling, extreme events