MATEC Web of Conferences
Volume 65, 20162016 The International Conference on Nanomaterial, Semiconductor and Composite Materials (ICNSCM 2016)
|Number of page(s)||4|
|Section||Nanomaterial, Carbon material Synthesis and Properties|
|Published online||06 July 2016|
Model validation of solar PV plant with hybrid data dynamic simulation based on fast-responding generator method
Renewable Energy Department, China Electric Power Research Institute, Nanjing 210003, China
2 School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
a Corresponding author: email@example.com
In recent years, a significant number of large-scale solar photovoltaic (PV) plants have been put into operation or been under planning around the world. The model accuracy of solar PV plant is the key factor to investigate the mutual influences between solar PV plants and a power grid. However, this problem has not been well solved, especially in how to apply the real measurements to validate the models of the solar PV plants. Taking fast-responding generator method as an example, this paper presents a model validation methodology for solar PV plant via the hybrid data dynamic simulation. First, the implementation scheme of hybrid data dynamic simulation suitable for DIgSILENT PowerFactory software is proposed, and then an analysis model of solar PV plant integration based on IEEE 9 system is established. At last, model validation of solar PV plant is achieved by employing hybrid data dynamic simulation. The results illustrate the effectiveness of the proposed method in solar PV plant model validation.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.