TY  - EJOU
AU  - Shi, Xincong 
AU  - Ji, Yuze 
AU  - Wang, Xinrui 
AU  - Tian, Ruimin 
AU  - Zhang, Chao 

TI  - Coordinated Service Restoration of Integrated Power and Gas Systems with Renewable Energy Sources
T2  - Energy Engineering

PY  - 2025
VL  - 122
IS  - 3
SN  - 1546-0118

AB  - With the development of integrated power and gas distribution systems (IPGS) incorporating renewable energy sources (RESs), coordinating the restoration processes of the power distribution system (PS) and the gas distribution system (GS) by utilizing the benefits of RESs enhances service restoration. In this context, this paper proposes a coordinated service restoration framework that considers the uncertainty in RESs and the bi-directional restoration interactions between the PS and GS. Additionally, a coordinated service restoration model is developed considering the two systems’ interdependency and the GS’s dynamic characteristics. The objective is to maximize the system resilience index while adhering to operational, dynamic, restoration logic, and interdependency constraints. A method for managing uncertainties in RES output is employed, and convexification techniques are applied to address the nonlinear constraints arising from the physical laws of the IPGS, thereby reducing solution complexity. As a result, the service restoration optimization problem of the IPGS can be formulated as a computationally tractable mixed-integer second-order cone programming problem. The effectiveness and superiority of the proposed framework are demonstrated through numerical simulations conducted on the interdependent IEEE 13-bus PS and 9-node GS. The comparative results show that the proposed framework improves the system resilience index by at least 65.07% compared to traditional methods.
KW  - Service restoration; renewable energy sources; integrated energy systems; extreme events; convex optimization

DO  - 10.32604/ee.2025.061586