Abstract
This paper studies the impact of demand and
renewable generation fluctuations on the contributions of loads
to line flows in an interconnected transmission system, to
estimate the extent to which demand response could alleviate
line congestion. The paper observes a number of highly loaded
lines in the system and how the daily uncertainties, different
network loading conditions and network topology affect
contributions of loads to the flows of these lines, including tie
lines. Identification of loads with high contributions to line flows
can provide adequate data support for formulating congestion
management strategies. The benefit of this approach is that it
can prioritise critical loads in the system based on probabilistic
power flow studies, taking into account a range of possible
operating conditions.
renewable generation fluctuations on the contributions of loads
to line flows in an interconnected transmission system, to
estimate the extent to which demand response could alleviate
line congestion. The paper observes a number of highly loaded
lines in the system and how the daily uncertainties, different
network loading conditions and network topology affect
contributions of loads to the flows of these lines, including tie
lines. Identification of loads with high contributions to line flows
can provide adequate data support for formulating congestion
management strategies. The benefit of this approach is that it
can prioritise critical loads in the system based on probabilistic
power flow studies, taking into account a range of possible
operating conditions.
| Original language | English |
|---|---|
| Title of host publication | IEEE PES |
| Publication status | Accepted/In press - 1 Aug 2022 |