Open Access

ARTICLE

Coordinated Service Restoration of Integrated Power and Gas Systems with Renewable Energy Sources

Xincong Shi^1,2, Yuze Ji^3,*, Xinrui Wang³, Ruimin Tian³, Chao Zhang²

1 College of Electrical Engineering, Zhejiang University, Hangzhou, 310000, China
2 Power Dispatch and Control Center State Grid, Shanxi Electric Power Company, Taiyuan, 030021, China
3 Planning Division of Power Dispatch and Control Center, State Grid Jincheng Power Supply Company, Jincheng, 048000, China

* Corresponding Author: Yuze Ji. Email:

Energy Engineering 2025, 122(3), 1199-1220. https://doi.org/10.32604/ee.2025.061586

Received 28 November 2024; Accepted 13 January 2025; Issue published 07 March 2025

Abstract

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.

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Keywords

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