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Load-Shifting Scheduling based on Manufacturing Process for Demand Response with Bidding Probability
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Publication Year
2023-01-01
Journal
IEEE Power and Energy Society General Meeting
Publisher
IEEE Computer Society
Citation
IEEE Power and Energy Society General Meeting, Vol.2023-July
Keyword
bidding probabilitydemand responseflexibility potentialgenetic algorithmstochastic scheduling
Mesh Keyword
Bidding probabilityDemand responseExpected profitsFlexibility potentialIndustrial customerLoad shiftingManufacturing processMarket structuresObjective functionsStochastic scheduling
All Science Classification Codes (ASJC)
Energy Engineering and Power TechnologyNuclear Energy and EngineeringRenewable Energy, Sustainability and the EnvironmentElectrical and Electronic Engineering
Abstract
This study develops a load-shifting scheduling algorithm for demand response to improve the profit of industrial customers. The objective function is determined to maximize the expected profit of demand response (DR) participation to reflect the market structure. For this, it converts the profit of the economic DR by using the bidding probability. Moreover, it derives the DR schedules of each manufacturing process separately and organizes constraints to improve the participation amount and minimize damage to each manufacturing machine. The proposed algorithm utilizes a genetic algorithm (GA) to derive an optimal DR solution. The actual market data and power consumption coefficient of South Korea are used to simulate the proposed algorithm.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36975
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174688287&origin=inward
DOI
https://doi.org/10.1109/pesgm52003.2023.10253343
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference
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Jung, Jaesung  Image
Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
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