Page 267 - Decision Making Applications in Modern Power Systems

230 Decision Making Applications in Modern Power Systems

Deterministic problem
–The input parameters have specific values that are being
processed in a few equations resulting in a set of specific
outputs.
–The output results have the same values regardless of the
number of iterations.

Inputs Outputs

Objective function
X 1
Y 1
X 2
F(X)
X 3
Y 2
X 4

(A)
Probabilistic problem
–The input parameters are not fixed; however, a certain degree
of uncertainty is found.
–Accordingly, probability distribution functions can be
presented to represent the input parameters.
–Probabilistic approaches such as MCS are used to determine
how the uncertainty of inputs affects the performance of the
system being studied.

Inputs Outputs

X 1
Objective function
Y

F(X)
X 2

(B)
FIGURE 9.2 Deterministic and probabilistic problem formulation. (A) Deterministic problem
and (B) probabilistic problem.

3. the uncertainty of DG integration location;
4. the uncertainty of DG unit rating;
5. the daily variations in loading profiles;