@inproceedings{bff0d979f8c4406b83c5de2d06d8d4e6,
title = "Optimal Energy Management for the Integrated Power and Gas Systems via Real-time Pricing",
abstract = "This work proposed a bi-level formulation for energy management in the integrated power and natural gas system via real-time price signals. The upper-level problem minimizes the operational cost, in which dynamic electricity price and dynamic gas tariff are proposed. The lower level problem is the arbitrage model of gas-fired plants and P2Gs stations, in which the transient gas flow is introduced. This bi-level model is relaxed to a mixed-integer quadratic programming problem using the Karush-Kuhn-Tucker optimality conditions. Results show that the dynamic price and tariff can make gas-fired units and P2Gs plants follow the system operator{\textquoteright}s preferences such as wind power accommodation, mitigation of unsupplied load and relieving the network congestion.",
keywords = "Integrated energy system, Bi-level programming, Equilibrium constraints",
author = "KangAn Shu and Xiaomeng Ai and Jinyu Wen and Jiakun Fang and Zhe Chen and Cheng Luo",
year = "2018",
month = aug,
doi = "10.1109/PESGM.2018.8585873",
language = "English",
isbn = "978-1-5386-7704-9",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE",
pages = "1--5",
booktitle = "Proceedings of the 2018 IEEE Power & Energy Society General Meeting (PESGM)",
address = "United States",
note = "IEEE Power and Energy Society General Meeting, PESGM 2018 ; Conference date: 05-08-2018 Through 09-08-2018",
}