E3S Web Conf.
Volume 58, 2018Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)
|Number of page(s)||6|
|Section||Innovative Energy Technologies and their Impact on the Reliability of Energy Systems|
|Published online||10 October 2018|
Enhancing reliability of power supply systems with distributed generation plants
Bratsk State University, Faculty of Power Engineering and Automation, Bratsk, Russia
2 Irkutsk State Transport University, Irkutsk National Research Technical University, Power Supply and Electrical Equipment Department, Irkutsk, Russia
* Corresponding author: firstname.lastname@example.org
The article present results of studies aimed at emergency control methods development in power supply systems equipped with distributed generation plants. The main purpose of emergency control is ensuring postemergency mode dead-beat stability and high quality of dynamic transitions for electrical network load-shedding. Control actions were formed by changing the vector of controlled parameters along a path corresponding to the shortest distance to the hypersurface of the limit modes. The dynamic processes quality when implementing the control actions was ensured based on the special settings of excitation and frequency automatic regulators. Based on computer-aided modelling, it is shown that the effective in-troduction of a postemergency mode to the stability region can be performed based on generalized equations of the limit loads while using the start algorithm ensuring mode’s entering the stability region’s neighboring boundary. The application of the fuzzy control algorithms for tuning regulators allows formation of a qualitative dynamic transition while load-shedding distributed generation plants in the postemergency mode.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.