Power Generation Technology ›› 2025, Vol. 46 ›› Issue (2): 209-218.DOI: 10.12096/j.2096-4528.pgt.24179

• Modeling, Simulation and Optimal Operation of Integrated Energy System Based on Swarm Intelligence •    

Optimization Scheduling of Cold-Heat-Electricity Integrated Energy System Under Pumped Storage Gray Start

Hui HOU1, Yan WANG1, Chao LIU1, Wei ZHANG2, Yangjun ZHOU2, Zhengmao LI3, Zhengtian LI4, Xiangning LIN4   

  1. 1.School of Automation, Wuhan University of Technology, Wuhan 430070, Hubei Province, China
    2.Electric Power Research Institute, Guangxi Power Grid Co. , Ltd. , Nanning 530023, Guangxi Zhuang Autonomous Region, China
    3.Department of Electrical Engineering and Automation, Aalto University, Espoo 00076, South Finland, Finland
    4.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China
  • Received:2024-08-15 Revised:2024-10-27 Published:2025-04-30 Online:2025-04-23
  • Supported by:
    National Natural Science Foundation of China(U22B20106)

Abstract:

Objectives Pumped storage units have gray start potential. Integrating this capability with the multi-energy complementary advantages of an integrated energy system (IES) makes it suitable for system recovery under extreme events. To investigate the post-disaster recovery mechanism of IES, this paper proposes an optimization scheduling model for a cold-heat-electricity integrated energy system (CHEIES) under pumped storage gray start. Methods First, stochastic scenario optimization is employed to address the uncertainties in wind, solar, cold, and thermal power. Latin hypercube sampling is used to generate a large number of random wind-solar-cold-heat scenarios, and a probability distance-based rapid reduction method is applied to reduce the number of scenarios. Then, for CHEIES under gray start, pumped storage serves as the gray start power source to provide startup power for the combined heat and power unit. A single-objective optimization scheduling model is established with gray start benefit as the core consideration, incorporating cold-heat-electricity power balance constraints to ensure the stable operation of IES under various load conditions. Finally, simulations are conducted to solve the model, and optimization scheduling strategies and economic benefits under different operation schemes are analyzed. Results CHEIES with pumped storage ash start-up shows high flexibility and operation efficiency in response to extreme natural disasters. Compared with the scheme without pumped storage ash start-up, the system operation cost is reduced by 12.14%. Conclusions The proposed method fully explores the reliability, economic efficiency, and flexibility of CHEIES under emergency conditions, providing strategic support for the rapid recovery of IES after extreme events.

Key words: integrated energy system (IES), pumped storage, gray start, black start, cold-heat-electricity integrated energy system (CHEIES), optimization scheduling, extreme events

CLC Number: