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Title

A Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design

A Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design
Year: 1397
COI: JR_IJIEPR-29-4_006
Language: EnglishView: 112
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Authors

Fatemeh Bayatloo - Master of Science, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran,
Ali Bozorgi-Amiri - Assistant Professor, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract:

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design of electricity supply chain networks. The proposed network consists of power stations, transmission lines, substations, and demand points. While minimizing costs and maximizing effectiveness of the grid, this paper seeks to determine time and location of establishing new facilities as well as capacity planning for facilities. We use chance constraint method to satisfy the uncertain demand with high probability. The proposed model is validated by a case study on Southern Khorasan Province’s power grid network, the computational results show that the reliability rate is a crucial factor which greatly effects costs and demand coverage.

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This Paper COI Code is JR_IJIEPR-29-4_006. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1135393/

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Bayatloo, Fatemeh and Bozorgi-Amiri, Ali,1397,A Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design,https://civilica.com/doc/1135393

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Type of center: دانشگاه دولتی
Paper count: 76,486
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