DocumentCode
2499045
Title
Pursuit Algorithm for optimized load scheduling
Author
Ali, S.Q. ; Maqbool, S.D. ; Ahamed, T. P Imthias ; Malik, N.H.
Author_Institution
Dept. of Electr. Eng., King Saud Univ., Riyadh, Saudi Arabia
fYear
2012
fDate
6-7 June 2012
Firstpage
193
Lastpage
198
Abstract
Demand Response (DR) has gained importance in the recent years. The prime objective of DR is to reduce the maximum demand. There are various DR schemes. This study focuses on price based DR schemes in which consumer is motivated to change his load demand pattern by pricing based incentives. The paper presents an algorithm to solve the load scheduling problem under variable pricing scheme. To this end the paper formulates the load scheduling problem as a singe stage decision making problem and solves it using Pursuit Algorithm, which maintains an agreeable balance between exploration and exploitation. An algorithm to generate realistic loads is also presented. Simulation experiments were conducted considering different types of loads and pricing.
Keywords
decision making; load shedding; pricing; scheduling; DR schemes; demand response; load demand pattern; load scheduling problem; optimized load scheduling; pricing based incentives; pursuit algorithm; single stage decision making problem; variable pricing scheme; Load modeling; Optimization; Power engineering; Pricing; Pursuit algorithms; Scheduling; Switches; Demand Response; Learning Automata; Maximum Demand; Pursuit Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012 Ieee International
Conference_Location
Melaka
Print_ISBN
978-1-4673-0660-7
Type
conf
DOI
10.1109/PEOCO.2012.6230859
Filename
6230859
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