Power Flow for Distribution Network with Renewable Energy Sources

被引：0
|
作者：
Ugranli, Faruk [1 ]
机构：
[1] Bartin Univ, Dept Elect Elect Engn, Bartin, Turkey
来源：
2019 18TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH) | 2019年
关键词：
Distribution system; power flow; linear; convolution; renewable generation; PROBABILISTIC LOAD FLOW; EXPANSION; GENERATION; SYSTEMS; MODEL; RELIABILITY;
D O I：
10.1109/infoteh.2019.8717763
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 power flow techniques are of great importance for the modern distribution network expansion planning due to the increasing uncertainty. In this study, a probabilistic power flow is proposed in order to incorporate long-term uncertainty sources which are load demand, wind speed, and solar irradiance. A convolution-based power flow is constructed by using the matrices of the bus-injection to branch-current and branch-current to bus-voltage. Its results are compared with that of full AC power flow in terms of the accuracy. The results of bus voltages and current flows are obtained for radial 21 bus benchmark system and the obtained results show that the uncertainty related to renewable generation and load are incorporated into power flow problem effectively in terms of accuracy and required simulation time.
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页数：6
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