Robust Energy Management of Residential Energy Hubs Integrated with Power-to-X Technology

Abstract

Growing interest in the intermittent renewable energy sources may jeopardize the flexibility of power systems. In order to improve the flexibility of modern power systems, the surplus electricity generated by renewable sources can be deployed into several carriers, such as natural gas and heating energy via power-to-gas (PtG) and power-to-heat (PtH) technologies. This paper proposes an optimal daily energy management model of residential energy hubs integrated with power-to-X technologies. The proposed energy hub is incorporated with PtG, PtH, combined heat and power (CHP) facilities, and thermal storage to meet the required electrical, gas, and heating demands. In order to capture the electricity price fluctuations, a robust optimization model is utilized which enables controlling the robustness level in the proposed scheduling model. The model is implemented in different residential energy hub test cases and the numerical results demonstrate the effectiveness of the proposed model in terms of the operating cost minimization and reliable operation.