Optimal switching placement for customer interruption cost minimization

被引:0
|
作者
Lin, C. H. [1 ]
Chen, C. S. [2 ]
Chuang, H. J. [3 ]
Li, C. S. [1 ]
Huang, M. Y. [2 ]
Huang, C. W. [4 ]
机构
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung 807, Taiwan
[2] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung 80424, Taiwan
[3] Kao Yuan Univ, Dept Elect Engn, Kaohsiung, Taiwan
[4] Taiwan Power Co, Power Res Inst, Kaohsiung, Taiwan
来源
2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9 | 2006年
关键词
distribution automation system; immune algorithm; outage management system;
D O I
暂无
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
To enhance the cost effectiveness of distribution automation system (DAS), this paper proposes the immune algorithm (IA) to derive the optimal placement of switching devices by minimizing the total cost of customer service outage and investment cost of line switches. The reliability index of each service zone defined by the boundary switches is derived to solve the expected energy not served due to fault contingency and the customer interruption cost is then determined according to the. customer type and power consumption within the service zone. To demonstrate the effectiveness of proposed IA methodology to solve the optimal placement of line switches, a practical distribution system of Taiwan Power Company (Taipower) is selected for computer simulation to explore the cost benefit of line switch placement for DAS.
引用
收藏
页码:312 / +
页数:2
相关论文
共 50 条
  • [21] Optimal SVC and TCSC placement for minimization of transmission losses
    Biansoongnern, S.
    Chusanapiputt, S.
    Phoomvuthisarn, S.
    2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 2619 - 2623
  • [22] Approximate methods for event-based customer interruption cost evaluation
    Billinton, R
    Wangdee, W
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) : 1103 - 1110
  • [23] Effects of correlation between failures and power consumption on customer interruption cost
    Hilber, P.
    Bertling, L.
    Hallgren, B.
    2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2, 2006, : 1120 - 1123
  • [24] Optimal footfall patterns for cost minimization in running
    Miller, Ross H.
    Hamill, Joseph
    JOURNAL OF BIOMECHANICS, 2015, 48 (11) : 2858 - 2864
  • [25] Optimal multi-objective D-STATCOM placement using MOGA for THD mitigation and cost minimization
    Nazari, Mohammad Hassan
    Khodadadi, Abolfazl
    Lorestani, Alireza
    Hosseinian, Seyed Hossein
    Gharehpetian, Gevork B.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (02) : 2339 - 2348
  • [26] OPTIMAL SWITCHING SIGNAL DESIGN WITH A COST ON SWITCHING ACTION
    Xu, Wei
    Yu, Liying
    Lin, Gui-Hua
    Feng, Zhi Guo
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2020, 16 (05) : 2531 - 2549
  • [27] Measuring customer relationship value: The role of switching cost
    Dikolli, Shane S.
    Kinney, William R., Jr.
    Sedatole, Karen L.
    CONTEMPORARY ACCOUNTING RESEARCH, 2007, 24 (01) : 93 - +
  • [28] Measurement of Switching Cost on the Customer Retention in the Banking Industry
    Wang, Yi-Hsien
    Shih, Kuang-Hsun
    Huang, Ya-Chi
    JOURNAL OF TESTING AND EVALUATION, 2012, 40 (06) : 923 - 930
  • [29] Feedback Solution to Optimal Switching Problems With Switching Cost
    Heydari, Ali
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (10) : 2009 - 2019
  • [30] Enhancing customer loyalty: critical switching cost factors
    El-Manstrly, Dahlia
    JOURNAL OF SERVICE MANAGEMENT, 2016, 27 (02) : 144 - 169