An Analytical Method to Optimal Allocation of Wind based-DG Considering Time-Varying Load Model in Radial Distribution Systems

被引:0
|
作者
Yarahmadi, Morteza [1 ]
Shakarami, Mahmoud Reza [1 ]
机构
[1] Lorestan Univ, Lorestan, Iran
关键词
distributed generation (DG); Analytical expression; wind power generation; time-varying load model; multi-objective index; loss reduction; wind-based DG (wind DG) penetration; wind energy; OPTIMAL PLACEMENT; LOSS REDUCTION; GENERATION; RECONFIGURATION; OPTIMIZATION;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper introduces an analytical expression for identify optimal size and location of wind-based distributed generation (DG) units so as to achieve the highest loss reduction in a distribution system. This paper considers a time-varying load model to find the penetration level of wind-based DG (wind DG) units in a distribution system. This recommended analytical method first size wind DG unit optimally, which can supply active and reactive powers to the system. This is based on derivation of a multi-objective index (IMO) including both active and reactive power losses. Then, this expression allocate wind DG units while considering a time-varying load model and probabilistic wind DG generation simultaneously. To validate the proposed analytical approach, a 33-bus standard IEEE radial distribution test system has been applied. The results shows that the time-varying load model and probabilistic wind DG output can impress the allocation of wind DG and its penetration level to the system.
引用
收藏
页码:297 / 305
页数:9
相关论文
共 50 条
  • [31] Distributed Optimal Power Flow for Unbalanced Radial Systems with Time-varying Communication
    Apostolopoulou, Dimitra
    Poudineh, Rahmat
    Sen, Anupama
    2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,
  • [32] Determining PV Penetration for Distribution Systems With Time-Varying Load Models
    Duong Quoc Hung
    Mithulananthan, Nadarajah
    Lee, Kwang Y.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (06) : 3048 - 3057
  • [33] Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs
    Callegaro, Davide
    Matsubara, Yoshitomo
    Levorato, Marco
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [34] Optimal Allocation of RDG in Distribution System Considering the Seasonal Uncertainties of Load Demand and Solar-Wind Generation Systems
    Zellagui, Mohamed
    Belbachir, Nasreddine
    El-Bayeh, Claude Ziad
    IEEE EUROCON 2021 - 19TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES, 2021, : 471 - 477
  • [35] An Analytical Approach for Placement of Distributed Generation in Radial Distribution Systems Considering Load Variation
    Prakash, Prem
    Khatod, Dheeraj K.
    2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2016,
  • [36] Voltage Profile Improvement in Radial Distribution Networks with Analytical Method of Simultaneous Optimal DG Sizing
    Shahzad, Mohsin
    Ahmad, Ishtiaq
    Gawlik, Wolfgang
    Palensky, Peter
    PROCEEDINGS OF THE 18TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE MELECON 2016, 2016,
  • [37] Robust Time-Varying Synthesis Load Modeling in Distribution Networks Considering Voltage Disturbances
    Cui, Mingjian
    Wang, Jianhui
    Wang, Yishen
    Diao, Ruisheng
    Shi, Di
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (06) : 4438 - 4450
  • [38] Integrated wind-photovoltaic-storage stochastic planning model considering time-varying characteristics in distribution network
    Shi Y.
    Liu J.
    Xu S.
    Jiang Z.
    Gao H.
    Liu J.
    Lü L.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (10): : 23 - 32
  • [39] Optimal Allocation of Wind and Solar Based Distributed Generation in a Radial Distribution System
    Sambaiah, Kola Sampangi
    Jayabarathi, T.
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2019, 9 (01): : 73 - 85
  • [40] Optimal time-varying reactive power and voltage control in distribution systems
    Fang, Xing
    Guo, Zhi-Zhong
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2005, 29 (09): : 40 - 44