Reconfiguration of distribution network using discrete particle swarm optimization to reduce voltage fluctuations

被引:13
作者
Rahimi Pour Behbahani, Milad [1 ]
Jalilian, Alireza [1 ,2 ]
Amini, MohamadAli [1 ]
机构
[1] Iran Univ Sci & Technol IUST, Power Qual Res Lab, Dept Elect Engn, Tehran, Iran
[2] Iran Univ Sci & Technol IUST, Dept Elect Engn, Ctr Excellence Power Syst Automat & Operat CEPSAO, Tehran, Iran
来源
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2020年 / 30卷 / 09期
关键词
power quality; voltage flicker; network reconfiguration; optimization; distribution network; FEEDER RECONFIGURATION; CAPACITOR PLACEMENT; POWER QUALITY; MITIGATE; MODELS;
D O I
10.1002/2050-7038.12501
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
Reconfiguration of the distribution network (DN) is the changing of status of normally open and close switches for a specific purpose. In this paper, a situation is studied in which a fluctuating load (such as a welder) violates the network power quality (PQ) standards. Therefore, in order to mitigate the emission of the generated flicker, an optimization problem is developed for improving the PQ of the network comprising voltage flicker level and voltage profile in addition to the network power loss as a traditional objective of the DN reconfiguration. The optimization procedure is performed by changing the network configuration using tie and sectionalizing switches. Discrete particle swarm optimization is utilized to optimize the network configuration. The proposed method is evaluated in two DNs. IEEE standard 69-bus DN and 95-bus practical Iranian DN are considered as case study networks. The results show the effectiveness of the proposed method for improving the network PQ, especially in case of voltage flicker. The presented studies and procedure will guide the utility engineers in making decisions associated with the choice of reasonable mitigation technique to overcome the identified PQ problems.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Hybrid Fuzzy Adaptive Particle Swarm Optimization and Differential Evolution Algorithm for Distribution Feeder Reconfiguration
    Niknam, Taher
    Farsani, Ehsan Azad
    Nayeripour, Majid
    Firouzi, Bahman Bahmani
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2011, 39 (02) : 158 - 175
  • [42] Loss-minimized Distribution System Reconfiguration by Using Improved Multi-agent Based Particle Swarm Optimization
    Yang, Hong-Tzer
    Tzeng, Yi-Te
    Tsai, Men-Shen
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [43] Reconfiguration of Electrical Distribution Network for Loss Reduction and Voltage Enhancement
    Kumar, G. Sasi
    Kumar, S. Sarat
    Kumar, S. V. Jayaram
    2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 1387 - 1392
  • [44] A new binary coding particle swarm optimization for feeder reconfiguration
    Wu, Wu-Chang
    Tsai, Men-Shen
    Hsu, Fu-Yuan
    2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2, 2007, : 517 - 522
  • [45] Multi-Objective Invasive Weed Optimization - An application to optimal network reconfiguration in radial distribution systems
    Rani, D. Sudha
    Subrahmanyam, N.
    Sydulu, M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 73 : 932 - 942
  • [46] Optimal siting and sizing of the Distributed Generation units to reduce power loss and improve the voltage profile by using an improved Chaotic Particle Swarm Optimization
    M'dioud, Meriem
    Bannari, Rachid
    Elkafazi, Ismail
    2021 IEEE 3RD GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2021), 2021, : 132 - 141
  • [47] Power System Harmonics Estimation using Particle Swarm Optimization
    Rabelo, Ricardo de A. L.
    Lemos, Marcus V.
    Barbosa, Daniel
    2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [48] Memetic binary particle swarm optimization for discrete optimization problems
    Beheshti, Zahra
    Shamsuddin, Siti Mariyam
    Hasan, Shafaatunnur
    INFORMATION SCIENCES, 2015, 299 : 58 - 84
  • [49] Reconfiguration and Optimal Micro-Phasor Unit Placement in a Distribution System Using Taguchi-Binary Particle Swarm Optimization
    Tiwari, Sukriti
    Kumar, Ashwani
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (02) : 1213 - 1223
  • [50] Reconfiguration and Optimal Micro-Phasor Unit Placement in a Distribution System Using Taguchi-Binary Particle Swarm Optimization
    Sukriti Tiwari
    Ashwani Kumar
    Arabian Journal for Science and Engineering, 2021, 46 : 1213 - 1223