Multi-objective demand response allocation in restructured energy market

Author

Nguyen, T.T. ; Yousefi, Ashkan

Author_Institution

Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Crawley, WA, Australia

fYear

2011

fDate

17-19 Jan. 2011

Firstpage

1

Lastpage

8

Abstract

Recently, a massive focus has been made on demand response (DR) programs, aimed for electricity price reduction, transmission lines congestion resolving, security enhancement and improvement of market performance. The paper develops a method for optimally selecting the locations of DR programs in the network together with their capacities to achieve the maximum technical benefits derived from the programs. The method is based on the constrained optimization of multi-objective function formed in terms of the EENS (expected energy not supplied), active power loss, ATC (available transmission capacity) and total DR programs capacity. This multi-objective function is then optimized based on NSGA II (non-dominated sorting genetic algorithm) to find the amount and locations of DR programs. The IEEE 30 bus test system is used to demonstrate the effectiveness of the proposed method.

Keywords

genetic algorithms; power markets; power system security; power transmission economics; power transmission lines; ATC; DR programs; EENS; IEEE 30 bus test system; NSGA II; active power loss; available transmission capacity; constrained optimization; demand response programs; electricity price reduction; expected energy not supplied; multiobjective demand response allocation; multiobjective function; nondominated sorting genetic algorithm; restructured energy market; security enhancement; transmission line congestion; Generators; Interconnected systems; Load flow; Load management; Optimization; Reliability; Available transfer capability (ATC); EENS; NSGA II; demand response (DR);

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES

Conference_Location

Hilton Anaheim, CA

Print_ISBN

978-1-61284-218-9

Electronic_ISBN

978-1-61284-219-6

Type

conf

DOI

10.1109/ISGT.2011.5759160

Filename

5759160