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Online Companion for Robust Unit Commitment with Dispatchable Wind: An LP Reformulation of the Second-stage

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Online Companion for

Robust Unit Commitment with Dispatchable Wind:

An LP Reformulation of the Second-stage

Germán Morales-España

a,†

, Michael Davidson

b

,

Laura Ramírez-Elizondo

a

, and Mathijs M. de Weerdt

c

a

Department of Electrical Sustainable Energy, Delft University of Technology, The Netherlands

b

Engineering Systems Division, Massachusetts Institute of Technology, USA.

c

Department of Software and Computer Technology, Delft University of Technology, The Netherlands

E-mail: g.a.moralesespana@tudelft.nl

This document is an online companion1for [1].

1

LP Reformulation of the Second-stage Robust UC

1.1

The Second Stage Problem for uncertain Wind or Solar

This report shows the step-by-step procedure of eliminating some variables of the problem presented in [1] through the Fourier Motzkin procedure.

As stated in [1], the the second-stage max-min problem of the robust unit commitment with dis-patchable wind, which leads to a bilinear problem, is equivalent to the following LP formulation:

min p,w,υ+,υ− c⊤p+ d⊤w s.t. Hp+ Jw ≤ h (1) Bp+ Cw ≤ ˜g (2) w+ W⊤υ+− W⊤υ−0 (3) υ−− υ+≤ 1 (4) p, w, υ+, υ0 (5)

where W and W are diagonal matrices containing the vectors w and w in the diagonal, respectively. Since W and W are diagonal symmetric matrices, then W = W⊤ and W = W⊤.

By applying the Fourier Motzkin elimination, we obtain the following equivalent formulation where 1Last update 2015-07-24

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variables v+ and v−no longer appear: min p,w c⊤p+ d⊤w s.t. Hp + Jw ≤ h (6) Bp+ Cw ≤ ˜g (7) w≤ w (8) p, w ≥ 0. (9)

The following subsections show the step-by-step Fourier Motzkin procedure of eliminating variables v+ and v−.

1.2

Eliminating υ

+

To start, constraints (3)-(5) can be rewritten as

υ+ ≤ W−1 W υ−− w (10)

−1+ υ−≤ υ+ (11)

0 ≤ υ+ (12)

w, υ−0 (13)

where (10) is equivalent to (3) after multiplying (3) by W−1. Notice that W−1 is a positive matrix, then the inequality does not change its sign (≤).

The Fourier Motzkin elimination consists in combining all the upper bounds of υ+ (10) with their

lower bounds (11)-(12), hence the following equivalent set of inequalities can be obtained:

−1+ υ− ≤ W−1 W υ− w (14)

0 ≤ W−1 W υ−− w (15)

w, υ−0 (16)

by multiplying both sides of (14)-(15) by W, we obtain:

−w+ Wυ−≤ W υ− w (17) 0 ≤ W υ−− w (18) w, υ−0 (19) Now, reorganizing: W− W υ− ≤ w − w (20) W υ−≥ w (21) w, υ−0 (22)

and multiplying (20) and (21) by W − W−12

and W−1, respectively: υ−≤ W − W−1 (w − w) (23) W−1w≤ υ− (24) 0 ≤ υ− (25) w≥0 (26)

2Notice that W − W−1≥ 0 since W ≥ W by definition.

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1.3

Eliminating υ

Again, by applying the Fourier Motzkin elimination, we combine all the upper bounds of υ−(23) with

the lower bounds (24)-(25). Hence, the following set of constraints are equivalent to (23)-(26) where variables υ−no longer appear:

W−1w≤ W − W−1

(w − w) (27)

0 ≤ W − W−1

(w − w) (28)

w≥0 (29)

and multiplying (27) and (28) by W − W

W− W W−1w ≤ w − w (30)

w ≤ w (31)

w ≥0 (32)

which by reorganizing becomes

WW−1− I+ I w ≤ w (33)

w≤ w (34)

w≥0 (35)

where I is the identity matrix.

Now, by multiplying both sides of (33) by WW−1−1

, which is equivalent to W⊤W⊤−1 =

WW−1:

w≤ W W−1w (36)

w≤ w (37)

w≥0 (38)

Since W is a diagonal matrix with elements in its diagonal wii 6= 0 , the inverse W −1

is also a diagonal matrix with elements in its diagonal1/w

ii. Then the matrix operation W −1

w is a column vector of ones (1). Therefore, (36)-(38) become

w≤ w (39)

w≤ w (40)

w≥0 (41)

where (40) is redundant because it is dominated by (39), which imposes a tighter upper bound to w. Finally, after Fourier Motzkin elimination, constraints (3)-(5) are equivalent to

w≤ w (42)

w≥0 (43)

therefore, the formulation (1)-(5) is equivalent to min p,w c⊤p+ d⊤w s.t. Hp + Jw ≤ h (44) Bp+ Cw ≤ ˜g (45) w≤ w (46) p, w ≥ 0. (47) 3

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References

[1] G. Morales-Espana, D. Michael, L. Ramírez-Elizondo, and W. Mathijs M. de, “Robust Unit Com-mitment with Dispatchable Wind: An LP Reformulation of the Second-stage,” Delft University of Technology, Technical Report, 2015.

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