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Pursuit Algorithm for optimized load scheduling

Authors: S. Q. Ali; S. D. Maqbool; T. P. Imthias Ahamed; N. H. Malik;

Pursuit Algorithm for optimized load scheduling

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
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