Performance Enhancing PV System Interconnected with D-STATCOM Using ANN and LAPO

被引：0
|
作者：
Rashad, Ahmed [1 ]
Ebeed, Mohamed [2 ]
Kamel, Salah [1 ]
Mosaad, Mohamed, I [3 ]
机构：
[1] Aswan Univ, Dept Elect Engn, Aswan, Egypt
[2] Sohag Univ, Fac Engn, Dept Elect Engn, Sohag, Egypt
[3] Yanbu Ind Coll, Dept Elect & Elect Engn, Yanbu, Saudi Arabia
来源：
2021 IEEE IFAC INTERNATIONAL CONFERENCE ON AUTOMATION/XXIV CONGRESS OF THE CHILEAN ASSOCIATION OF AUTOMATIC CONTROL (IEEE IFAC ICA - ACCA2021) | 2021年
关键词：
PV system; Lightning attachment procedure optimization (LAPO); Artificial neural networks (ANN); PARTICLE SWARM OPTIMIZATION; POWER-FLOW; ENHANCEMENT; CAPABILITY; MODEL;
D O I：
10.1109/ICAACCA51523.2021.9465191
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Due to the large presence of solar power plant in electric power networks, it became obligatory to study the interaction between them and the associated networks. In this paper, a Distribution Static Synchronous Compensator (D-STATCOM) is used to improve the performance of a photovoltaic generation plant (PV) during three phase fault of interconnected grid. Artificial neural networks (ANN) based on Lightning attachment procedure optimization (LAPO) is used to tune the control parameters of D-STATCOM in targeted with PV plant. The LAPO is used for generating historical data needed for ANN. In order to point out the contribution of this paper, the performance of PV system without and with D-SATCOM is compared during three-phase fault and when D-STATCOM is tuned by LAPO only and by proposed ANN.
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页数：5
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