Showing 2 results for Decision Making
H. Heydari, R. Sharifi,
Volume 7, Issue 1 (3-2011)
Abstract
The design process of a superconducting current limiter (SFCL) requires simulation and definition of its electrical, magnetic and thermal properties in form of equivalent circuits and mathematical models. However, any change in SFCL parameters: dimension, resistance, and operating temperature can affect the limiting mode, quench time, and restore time. In this paper, following the simulation of electrical and thermal behavior of resistive and inductive SFCLs and investigation on their performance variation responded to change parameters, the best design cases will be selected by using multiple criteria decision making (MCDM) techniques. As a case study, to evaluate proposed MCDM approaches in design of superconducting fault current limiter, a model in which a SFCL is located at an outgoing feeder in a 20 kV distribution substation will be considered and best designs will be presented for both resistive and inductive type.
M. Zarif, M. H. Javidi, M. S. Ghazizadeh,
Volume 8, Issue 2 (6-2012)
Abstract
This paper presents a decision making approach for mid-term scheduling of large
industrial consumers based on the recently introduced class of Stochastic Dominance (SD)-
constrained stochastic programming. In this study, the electricity price in the pool as well as
the rate of availability (unavailability) of the generating unit (forced outage rate) is
considered as uncertain parameters. The self-scheduling problem is formulated as a
stochastic programming problem with SSD constraints by generating appropriate scenarios
for pool price and self-generation unit's forced outage rate. Furthermore, while most
approaches optimize the cost subject to an assumed demand profile, our method enforces
the electricity consumption to follow an optimum profile for mid-term time scheduling, i.e.
three months (12 weeks), so that the total production will remain constant.
