Coordinating flexible ramping products with dynamics of the natural gas network

被引:0
作者
Bayani, Reza [1 ,2 ]
Manshadi, Saeed D. [2 ]
机构
[1] Univ Calif San Diego, Dept Elect & Comp Engn, 9500 Gilman Dr, La Jolla, CA 92093 USA
[2] San Diego State Univ, Dept Elect & Comp Engn, 5500 Campanile Dr, San Diego, CA 92182 USA
关键词
Flexible ramping product; Natural gas; Coordinated operation; Convex optimization; OPTIMAL POWER; ELECTRICITY; OPERATION; FLOW; RELAXATION; ENERGY;
D O I
10.1016/j.segan.2023.101079
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In electricity networks with high penetration levels of renewable resources, Flexible Ramping Products (FRPs) are among the utilized measures for dealing with the potential fluctuations in the net demand. This paper investigates the coordinated operation of Integrated Electricity-Gas Systems (IEGSs) with considering FRPs. To accurately model and reflect the effects of variations in the natural gas fuel demand on the natural gas network, a dynamic Optimal Gas Flow (OGF) formulation is utilized. The non-convex dynamic model of the natural gas system is represented in a convex form via a tight relaxation scheme. An improved distributed optimization method is proposed to solve the coordinated operation problem in a privacy-preserving manner, where the two infrastructures only share limited information. We introduce the Inexact Varying Alternating Direction Method of Multipliers (IV-ADMM) and show that compared with the classic ADMM, it converges considerably faster and in fewer iterations. Through a comparison of day-ahead and real-time operation planning results, it is concluded that without accounting for natural gas network dynamics, the FRP model is not a trustworthy tool in day-ahead planning against uncertainties. & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:10
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共 39 条
  • [1] Multistage Multiresolution Robust Unit Commitment With Nondeterministic Flexible Ramp Considering Load and Wind Variabilities
    Alizadeh, Mohammad Iman
    Moghaddam, Mohsen Parsa
    Amjady, Nima
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) : 872 - 883
  • [2] Gas-Constrained Secure Reserve Allocation With Large Renewable Penetration
    Antenucci, Andrea
    Sansavini, Giovanni
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) : 685 - 694
  • [3] Impact of solar energy on the integrated operation of electricity-gas grids
    Badakhshan, Sobhan
    Hajibandeh, Neda
    Shafie-khah, Miadreza
    Catalao, Joao. P. S.
    [J]. ENERGY, 2019, 183 : 844 - 853
  • [4] Natural Gas Short-Term Operation Problem With Dynamics: A Rank Minimization Approach
    Bayani, Reza
    Manshadi, Saeed D.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (04) : 2761 - 2773
  • [5] Julia: A Fresh Approach to Numerical Computing
    Bezanson, Jeff
    Edelman, Alan
    Karpinski, Stefan
    Shah, Viral B.
    [J]. SIAM REVIEW, 2017, 59 (01) : 65 - 98
  • [6] Distributed optimization and statistical learning via the alternating direction method of multipliers
    Boyd S.
    Parikh N.
    Chu E.
    Peleato B.
    Eckstein J.
    [J]. Foundations and Trends in Machine Learning, 2010, 3 (01): : 1 - 122
  • [7] Chen FX, 2021, INT J ENERG RES, V45, P8456, DOI [10.1002/er.6379, 10.1007/s40121-021-00500-z]
  • [8] Chen S., 2022, IEEE T POWER SYST
  • [9] Security-Constrained Optimal Power and Natural-Gas Flow
    Correa-Posada, Carlos M.
    Sanchez-Martin, Pedro
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) : 1780 - 1787
  • [10] JuMP: A Modeling Language for Mathematical Optimization
    Dunning, Iain
    Huchette, Joey
    Lubin, Miles
    [J]. SIAM REVIEW, 2017, 59 (02) : 295 - 320