
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Schedule for converters of a meshed HVDC grid and a contingency schedule for adaption to unscheduled power flow changes
There is an increasing amount of renewable energies in Europe as well as in other regions. Some of this energy is generated more centralized than with conventional power plants (offshore wind farms) and some is more decentralized (distribution grids). However renewable energy generation is not uniformly distributed over all Europe. A meshed HVDC Overlay grid is a suitable solution to transmit this power to centers of load. With renewable energy and load forecasts it is possible to calculate an optimal schedule for those HVDC converters. This paper presents a mixed AC/DC optimal power flow and a method which enables the HVDC grid to participate in unpredictable power flow changes between schedules. Those can be caused e.g. by load frequency control events.
- Ilmenau University of Technology Germany
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).8 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
