Reliability Compliant Distribution System Planning Using Monte Carlo Simulation

被引：4
|
作者：
Battu, Neelakanteshwar Rao [1 ]
Abhyankar, Abhijit R. [1 ]
Senroy, Nilanjan [1 ]
机构：
[1] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi, India
来源：
ELECTRIC POWER COMPONENTS AND SYSTEMS | 2019年 / 47卷 / 11-12期
关键词：
distribution system planning; reliability; distributed generator; Monte Carlo simulation; cost minimization; energy not supplied; priority loads; electricity market price; genetic algorithm; system upgradation; GENERATION; MODEL; WIND;
D O I：
10.1080/15325008.2019.1659454
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Distribution system planning is imperative to meet the load growth and to enhance reliability of the system. Power supply interruption causes inconvenience to the customer. Some customers may even lose the opportunity cost due to unreliable power supply. This enforces to consider reliability aspects during distribution system planning. This paper proposes reliability compliant distribution system planning using genetic algorithm embedded Monte Carlo simulation. The proposed approach is applied to 15-bus and 33-bus radial distribution systems to find the optimal location and size of DG, and distribution system upgradation needed to meet the load growth and to enhance reliability of the system.
引用
收藏
页码：985 / 997
页数：13
相关论文
共 50 条
  • [21] Distribution System Reliability Evaluation Using Enhanced Samples in a Monte Carlo Approach
    Heydt, Gerald T.
    Graf, Torrey J.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (04) : 2006 - 2008
  • [22] Automotive reliability assessment using Monte Carlo simulation
    Dey, A
    Tryon, R
    Nasser, L
    [J]. SEVENTH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, 2002, : 6 - 10
  • [23] Using Monte Carlo simulation for assessing software reliability
    Carnes, Patrick
    [J]. WMSCI 2006: 10TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS, 2006, : 174 - 179
  • [24] Reliability Assessment of Integrated Residential Distribution and PHEV Systems Using Monte Carlo Simulation
    Wang, Zhu
    Yang, Rui
    Wang, Lingfeng
    Tan, Jun
    [J]. 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [25] Reliability Evaluation of Distribution Systems Incorporating Distributed Generators Using Monte Carlo Simulation
    Wu, Zhenpeng
    Ji, Aoying
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, 2016, 367 : 367 - 374
  • [26] Reliability worth assessment in radial distribution systems using the Monte Carlo simulation technique
    Goel, L
    Ou, Y
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 1999, 51 (01) : 43 - 53
  • [27] Optimal reliability planning for a composite electric power system based on Monte Carlo simulation using particle swarm optimization
    Bakkiyaraj, R. Ashok
    Kumarappan, N.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 47 : 109 - 116
  • [28] System Reliability Based Design Optimization With Monte Carlo Simulation
    Wang, Haikun
    Gong, Zhean
    Huang, Hong-Zhong
    Zhang, Xiaoling
    Lv, Zhiqiang
    [J]. 2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 1143 - 1147
  • [29] MONTE-CARLO SIMULATION OF COMPLEX SYSTEM MISSION RELIABILITY
    LEWIS, EE
    BOEHM, F
    KIRSCH, C
    KELKHOFF, BP
    [J]. 1989 WINTER SIMULATION CONFERENCE PROCEEDINGS, 1989, : 497 - 504
  • [30] Bayesian Estimation of System Reliability Models Using Monte-Carlo Technique of Simulation
    Arekar, Kirti
    Jain, Rinku
    Kumar, Surender
    [J]. JOURNAL OF STATISTICAL THEORY AND APPLICATIONS, 2021, 20 (01): : 149 - 162
12345