Page 70 - Decision Making Applications in Modern Power Systems
P. 70
Chapter 2
Uncertainty management in
decision-making in power
system operation
1
1
Mohammad Hemmati , Behnam Mohammadi-Ivatloo and
Alireza Soroudi 2
1 2
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran, University
College Dublin, Dublin, Ireland
2.1 Introduction
The development of power system and the emergence of new energy
concepts such as microgrids and smart grids have caused various challenges
in the scheduling and operation of these networks. Modern power system
scheduling such as conventional networks can be performed for short-,
medium-, and long-term periods [1,2]. However, the need for accurate
decision-making for these periods is essential. Managing the challenges of
the power system faces a set of decision problems affiliated to different parts
(e.g., scheduling, investment, and operation) where decision makers must dis-
tinguish all alternatives from cost, revenue, or risk point of views.
Apart from all of the modern power system challenges, the growth of total
installed renewable energy resources with probabilistic nature causes the
complex planning of power system. It is forecasted that the renewable energy
share can reach 36% by 2030 [3]. This massive power generated by renew-
able energy is associated with uncertainties. Renewable energy resource
power depends on initial sources such as wind and solar. Dependence of these
resources on climate condition causes an increase of uncertainty in generated
power [4]. However, as renewable energy penetration increases, there will be
an increase in the uncertainty associated with power system. Hence, uncer-
tainty modeling and suitable addressing in planning and operation of a power
system are essential [5,6].
The uncertainty handling is one of the main issues of decision makers in
power system [7]. All of the uncertain parameters faced by power system
can be classified into economical and technical parameters. According to
Decision Making Applications in Modern Power Systems. DOI: https://doi.org/10.1016/B978-0-12-816445-7.00002-5
© 2020 Elsevier Inc. All rights reserved. 41