Estimation of Exponential and ZIP Load Model of Aggregated Load with Distributed Generation

被引:2
作者
Leinakse, Madis [1 ]
Andreesen, Guido [1 ]
Tani, Partel [1 ]
Kilter, Jako [1 ]
机构
[1] Tallinn Univ Technol, Dept Elect Power Engn & Mechatron, Tallinn, Estonia
来源
2021 IEEE 62ND INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON) | 2021年
关键词
conservation voltage reduction (CVR); distributed generation; exponential load model; load modelling; static load models; ZIP model; CONSERVATION VOLTAGE REDUCTION; NETWORKS;
D O I
10.1109/RTUCON53541.2021.9711702
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
The voltage dependence of loads plays a major role when the conservation voltage reduction (CVR) is analysed or implemented. This dependence is affected by the amount of distributed generation (DG) included among the load of the aggregated bulk supply point. In this paper, the impact of DG on estimated values of exponential load model and ZIP load model (second order polynomial load model) is analysed based on a measurement-based case study. A new equation is presented for assessing the impact of DG penetration level on the ZIP model of the aggregated load (with DG). Additionally, the modelling accuracy of ZIP and exponential model is compared and the exponential model is shown to provide a better accuracy than the ZIP model for modelling this type of loads. The case study was conducted in a distribution network with significant amount of DG. An on-load tap changer was used for inducing the voltage changes. Both, exponential load models and ZIP load models, were estimated from measurement data for transformer load and aggregated load excluding the DG.
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页数:6
相关论文
共 30 条
  • [1] [Anonymous], 2010, NEARLY ZERO ENERGY B
  • [2] [Anonymous], 2010, IEEE PES GEN M PROV, DOI DOI 10.1109/PES.2010.5590142
  • [3] Online Tracking of Voltage-Dependent Load Parameters Using ULTC Created Disturbances
    Arefifar, Seyed Ali
    Xu, Wilsun
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (01) : 130 - 139
  • [4] Load Control Using Sensitivity Identification by Means of Smart Transformer
    De Carne G.
    Buticchi G.
    Liserre M.
    Vournas C.
    [J]. 2018, Institute of Electrical and Electronics Engineers Inc., United States (09) : 2606 - 2615
  • [5] On-Line Load Sensitivity Identification in LV Distribution Grids
    De Carne, Giovanni
    Liserre, Marco
    Vournas, Costas
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (02) : 1570 - 1571
  • [6] Field-Validated Load Model for the Analysis of CVR in Distribution Secondary Networks: Energy Conservation
    Diaz-Aguilo, Marc
    Sandraz, Julien
    Macwan, Richard
    de Leon, Francisco
    Czarkowski, Dariusz
    Comack, Christopher
    Wang, David
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (04) : 2428 - 2436
  • [7] European Commission and Directorate-General for Climate Action, 2019, Going climateneutral by 2050 - a strategic long-term vision for a prosperous, modern, competitive and climate-neutral EU economy, DOI DOI 10.2834/02074
  • [8] Freitas W., 2012, Proceedings of 2012 IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP), P40, DOI 10.1109/ICHQP.2012.6381271
  • [9] Hayes B, 2018, INT CON ELECTR POWER
  • [10] Hossain MR, 2017, IEEE SOUTHEASTCON, DOI [10.1109/ULTSYM.2017.8091807, 10.20529/IJME.2018.045]