Abstract
The importance of efficient and effective charging
methodologies to regulatory authorities has resulted in a
significant amount of research into methods for deriving
economic charges. The majority of the previous work is however
limited on the assumption that a given future scenario or a fixed
load growth rate, and the fundamental problem of uncertain
future load growth rates in charging methodologies imposes
great difficulties on precise assessing of charges. In this paper, a
novel methodology of evaluating long-run incremental charges
with uncertain load growth rate is proposed to handle the
uncertainty of load growth rate. Fuzzy logic concept is utilized
here to model uncertain load growth rate, and then it is
incorporated with long-run incremental cost (LRIC)
methodology to calculate charges. The membership functions of
years which take circuit to be fully loaded and LRIC charges are
deduced by employing the theory of fuzzy extension method. A
simple example is given to testify the proposed concept and some
important conclusion are presented at last. It is found that
compared with original LRIC method new method considering
fuzzy load growth rate can effectively model uncertain instinct of
load growth rate.
methodologies to regulatory authorities has resulted in a
significant amount of research into methods for deriving
economic charges. The majority of the previous work is however
limited on the assumption that a given future scenario or a fixed
load growth rate, and the fundamental problem of uncertain
future load growth rates in charging methodologies imposes
great difficulties on precise assessing of charges. In this paper, a
novel methodology of evaluating long-run incremental charges
with uncertain load growth rate is proposed to handle the
uncertainty of load growth rate. Fuzzy logic concept is utilized
here to model uncertain load growth rate, and then it is
incorporated with long-run incremental cost (LRIC)
methodology to calculate charges. The membership functions of
years which take circuit to be fully loaded and LRIC charges are
deduced by employing the theory of fuzzy extension method. A
simple example is given to testify the proposed concept and some
important conclusion are presented at last. It is found that
compared with original LRIC method new method considering
fuzzy load growth rate can effectively model uncertain instinct of
load growth rate.
| Original language | English |
|---|---|
| Title of host publication | 2009 IEEE Power & Energy Society General Meeting. Vols 1-8 |
| Publisher | IEEE |
| Pages | 5071-5075 |
| Number of pages | 5 |
| Volume | 1 - 8 |
| Publication status | Published - 2009 |
| Event | General Meeting of the IEEE Power and Energy Society - Calgary, Canada Duration: 26 Jul 2009 → 30 Jul 2009 |
Conference
| Conference | General Meeting of the IEEE Power and Energy Society |
|---|---|
| Country/Territory | Canada |
| City | Calgary |
| Period | 26/07/09 → 30/07/09 |