An efficient unit commitment schedule by combining of continuous relaxation method and genetic algorithm

被引：0
|
作者：
Central Research Institute, Electric Power Industry, 2-11-1 Iwado, Kita, Komae-shi, Tokyo 201-8511, Japan [1 ]
不详 [2 ]
不详 [3 ]
不详 [4 ]
机构：
来源：
IEEJ Trans. Electron. Inf. Syst. | 2007年 / 9卷 / 1452-1459+22期
关键词：
Relaxation processes;
D O I：
10.1541/ieejeiss.127.1452
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [31] Genetic-based unit commitment algorithm - Response
    Sheble, GB
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (03) : 1369 - 1370
  • [32] Genetic-based unit commitment algorithm - Discussion
    Conejo, A
    Jimenez, N
    Arroyo, JM
    Medina, J
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (03) : 1368 - 1369
  • [33] UNIT COMMITMENT BY GENETIC ALGORITHM AND EXPERT-SYSTEM
    SHEBLE, GB
    MAIFELD, TT
    ELECTRIC POWER SYSTEMS RESEARCH, 1994, 30 (02) : 115 - 121
  • [34] Fast technique for unit commitment by genetic algorithm based on unit clustering
    Senjyu, T
    Saber, AY
    Miyagi, T
    Shimabukuro, K
    Urasaki, N
    Funabashi, T
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2005, 152 (05) : 705 - 713
  • [35] Improved Genetic Algorithm-Based Unit Commitment Considering Uncertainty Integration Method
    Jo, Kyu-Hyung
    Kim, Mun-Kyeom
    ENERGIES, 2018, 11 (06):
  • [36] Combining Lagrangian relaxation, benders decomposition, and the level bundle method in the stochastic hydrothermal unit-commitment problem
    Colonetti, Bruno
    Finardi, Erlon C.
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 30 (09):
  • [37] A Unit Commitment Algorithm With Relaxation-Based Neighborhood Search and Improved Relaxation Inducement
    Ma, Ziming
    Zhong, Haiwang
    Xia, Qing
    Kang, Chongqing
    Wang, Qiang
    Cao, Xin
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (05) : 3800 - 3809
  • [38] Lagrangian Relaxation Combined with Differential Evolution Algorithm for Unit Commitment Problem
    Sum-Im, Thanathip
    2014 IEEE EMERGING TECHNOLOGY AND FACTORY AUTOMATION (ETFA), 2014,
  • [39] A unit commitment problem by using genetic algorithm based on unit characteristic classification
    Senjyu, T
    Yamashiro, H
    Uezato, K
    Funabashi, T
    2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2002, : 58 - 63
  • [40] Genetic Algorithm Based Simulated Annealing Method for Solving Unit Commitment Problem in Utility System
    Rajan, C. Christober Asir
    INTERNATIONAL CONFERENCE ON MODELING, OPTIMIZATION, AND COMPUTING, 2010, 1298 : 677 - 684
12345