Paper Info
Title
Risk-Loss Coordinated Admissibility Assessment of Wind Generation for Integrated Electric-Gas Systems
Abstract
Due to the widely deployment of gas-fired units and the emerging power-to-gas (P2G) technologies, the interdependencies between power systems and gas systems have been enhanced, yet the impacts on the ability of accommodating the uncertain and variable wind generation are unclear. On one hand, the regulation capability of gas-fired units might be restricted due to pipeline congestion or gas supply shortage; on the other hand, the P2G facilities could operate as interruptible electrical loads to enhance the operational flexibility of the power network. This paper aims to revisit the wind generation admissibility assessment problem in view of integrated electric-gas systems. The overall model is established according to the two-stage robust optimization framework. By introducing the stepwise penalty coefficients for power shortage and surplus, the risk preference of the operator can be reflected. The mixed integer linear programming-based approximation methods is adopted to tackle the computational challenging Weymouth equation in the gas network, which requires an additional column-and-constraint (C&CG) loop to solve the second-stage max-min problem, other than the common one to coordinate the first- and second-stage problems, resulting in a nested C&CG algorithmic structure. The effectiveness of the proposed model and solution methods are validated by the simulation results.
Year
DOI
Venue
2020
10.1109/TSG.2020.2979944
IEEE Transactions on Smart Grid
Keywords
DocType
Volume
Integrated electric-gas system,natural gas system,wind generation accommodation capability,robust optimization,nested C&CG algorithm
Journal
11
Issue
ISSN
Citations 
5
1949-3053
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
cheng wang102.70
Song Wang221.39
Feng Liu326928.35
Tianshu Bi41811.95
Tiezhu Wang512.32