What is it about?
The supply of electrical energy is being increasingly sourced from renewable generation. The variability and uncertainty of renewable generation, compared to a dispatchable plant, is a significant dissimilarity of concern to the traditionally reliable and robust power system. This change is driving the power system towards a more flexible entity that carries greater amounts of reserve. For congestion management purposes it is of benefit to know the probable and possible renewable generation dispatch, but to what extent will these variations effect the management of congestion on the system?
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Why is it important?
this work considers the natural benefits to the congestion on a system from the over estimation of wind forecast; providing an opportunistic schedule for both demand response nodes and reactive power provision from distributed generation.
Perspectives
Reactive power generation from wind generators and demand response flexibility are the decision variables here in a risk averse multi-period AC optimal power flow (OPF) seeking to manage congestion on distribution systems. Information Gap Decision Theory is used to address the variability and uncertainty of renewable generation.
Dr. Alireza Soroudi
University College Dublin
Read the Original
This page is a summary of: Information Gap Decision Theory based congestion and voltage management in the presence of uncertain wind power, July 2016, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/pesgm.2016.7741221.
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