Transmission Expansion Planning in Deregulated Power ... - tuprints
Transmission Expansion Planning in Deregulated Power ... - tuprints
Transmission Expansion Planning in Deregulated Power ... - tuprints
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5 Market Based <strong>Transmission</strong> <strong>Expansion</strong> <strong>Plann<strong>in</strong>g</strong> 54<br />
Regret is a measure of risk. Regret of plan k <strong>in</strong> scenario l is def<strong>in</strong>ed as the difference between<br />
the cost of plan k and the cost of optimal plan of scenario l. In def<strong>in</strong>ition of regret “cost”<br />
means any criterion that can be used for measur<strong>in</strong>g the goodness of expansion plans. Regret is<br />
formulated as bellow:<br />
with:<br />
r<br />
k,<br />
l k , l op,<br />
l<br />
= f − f<br />
(5.1)<br />
k l<br />
r , regret of plan k <strong>in</strong> scenario l<br />
f<br />
f<br />
k l<br />
, value of the selected market based criterion for plan k <strong>in</strong> scenario l<br />
op l<br />
, value of selected market based criterion for the optimal plan of scenario l<br />
M<strong>in</strong>imax regret selects the plan which m<strong>in</strong>imizes the maximum weighted regret over different<br />
scenarios i.e.:<br />
with:<br />
M<strong>in</strong><br />
k<br />
l k , l { Max(<br />
r ) }<br />
l<br />
υ (5.2)<br />
l<br />
υ occurrence degree of scenario l<br />
See the example of appendix A for more detail on m<strong>in</strong>imax regret criterion.<br />
5.2.5 Capacity of New <strong>Transmission</strong> L<strong>in</strong>es<br />
After determ<strong>in</strong><strong>in</strong>g the f<strong>in</strong>al expansion plans, the capacity of the selected plans must be<br />
determ<strong>in</strong>ed. The capacities of selected transmission l<strong>in</strong>es are determ<strong>in</strong>ed us<strong>in</strong>g the PDFs of<br />
power of selected transmission l<strong>in</strong>es <strong>in</strong> different scenarios. The capacities are determ<strong>in</strong>ed so<br />
that the probability of violat<strong>in</strong>g the limits of selected l<strong>in</strong>es is less than one percent <strong>in</strong> each<br />
scenario dur<strong>in</strong>g the peak load of plann<strong>in</strong>g horizon.<br />
5.2.6 <strong>Transmission</strong> <strong>Expansion</strong> <strong>Plann<strong>in</strong>g</strong> Algorithm<br />
The algorithm of presented transmission expansion plann<strong>in</strong>g approach is as bellow:<br />
1. Identify the set of possible strategic scenarios and their occurrence degrees.<br />
2. Suggest candidates for transmission expansion.<br />
2.1. Compute PDFs of LMPs for the exist<strong>in</strong>g network <strong>in</strong> different scenarios.<br />
2.2. Select a value for SV.