A decomposition method for network-constrained unit commitment with AC power flow constraints

被引:41
|
作者
Bai, Yang [1 ]
Zhong, Haiwang [1 ]
Xia, Qing [1 ]
Kang, Chongqing [1 ]
Xie, Le [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77840 USA
基金
中国国家自然科学基金;
关键词
Network-constrained unit commitment; AC power flow constraints; Decomposition; Power flow sensitivity; SEARCH ALGORITHM; LOAD; MODEL;
D O I
10.1016/j.energy.2015.05.082
中图分类号
O414.1 [热力学];
学科分类号
摘要
To meet the increasingly high requirement of smart grid operations, considering AC power flow constraints in the NCUC (network-constrained unit commitment) is of great significance in terms of both security and economy. This paper proposes a decomposition method to solve NCUC with AC power flow constraints. With conic approximations of the AC power flow equations, the master problem is formulated as a MISOCP (mixed integer second-order cone programming) model. The key advantage of this model is that the active power and reactive power are co-optimised, and the transmission losses are considered. With the AC optimal power flow model, the AC feasibility of the UC result of the master problem is checked in subproblems. If infeasibility is detected, feedback constraints are generated based on the sensitivity of bus voltages to a change in the unit reactive power generation. They are then introduced into the master problem in the next iteration until all AC violations are eliminated. A 6-bus system, a modified IEEE 30-bus system and the IEEE 118-bus system are used to validate the performance of the proposed method, which provides a satisfactory solution with approximately 44-fold greater computational efficiency. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:595 / 603
页数:9
相关论文
共 50 条
  • [1] Network-constrained unit commitment with piecewise linear AC power flow constraints
    Nanou, Sotirios, I
    Psarros, Georgios N.
    Papathanassiou, Stavros A.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 195 (195)
  • [2] AC Network-Constrained Unit Commitment via Relaxation and Decomposition
    Constante-Flores, Gonzalo E.
    Conejo, Antonio J.
    Qiu, Feng
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (03) : 2187 - 2196
  • [3] Network-Constrained AC Unit Commitment Under Uncertainty: A Benders' Decomposition Approach
    Nasri, Amin
    Kazempour, S. Jalal
    Conejo, Antonio J.
    Ghandhari, Mehrdad
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (01) : 412 - 422
  • [4] Efficient period elimination Benders decomposition for network-constrained AC unit commitment
    Ghanbari-Firouzabadi, Ali
    Pirayesh, Abolfazl
    Esmaili, Masoud
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (10) : 1802 - 1810
  • [5] A Distributionally Robust AC Network-Constrained Unit Commitment
    Dehghan, Shahab
    Aristidou, Petros
    Amjady, Nima
    Conejo, Antonio J.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (06) : 5258 - 5270
  • [6] Adaptive Robust Network-Constrained AC Unit Commitment
    Amjady, Nima
    Dehghan, Shahab
    Attarha, Ahmad
    Conejo, Antonio J.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (01) : 672 - 683
  • [7] Global Solution Strategies for the Network-Constrained Unit Commitment Problem With AC Transmission Constraints
    Liu, Jianfeng
    Laird, Carl D.
    Scott, Joseph K.
    Watson, Jean-Paul
    Castillo, Anya
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (02) : 1139 - 1150
  • [8] An Efficient Method for Identifying the Inactive Transmission Constraints in a Network-Constrained Unit Commitment
    Ma, Ziming
    Zhong, Haiwang
    Xia, Qing
    Kang, Chongqing
    Wang, Qiang
    Cao, Xin
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (06) : 2366 - 2373
  • [9] Accelerating the benders decomposition for network-constrained unit commitment problems
    Wu L.
    Shahidehpour M.
    [J]. Energy Systems, 2010, 1 (03) : 339 - 376
  • [10] AC network-constrained unit commitment via conic relaxation and convex programming
    Constante-Flores, Gonzalo E.
    Conejo, Antonio J.
    Qiu, Feng
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 134