Volume 29, Issue 4 (IJIEPR 2018)                   IJIEPR 2018, 29(4): 471-482 | Back to browse issues page

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Bayatloo F, Bozorgi-Amiri. A Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design. IJIEPR 2018; 29 (4) :471-482
URL: http://ijiepr.iust.ac.ir/article-1-850-en.html
A Two-Stage Chance-Constraint Stochastic Programming Model for Electricity Supply Chain Network Design
Fatemeh Bayatloo1 , Bozorgi-Amiri 2
1- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2- School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran , alibozorgi@ut.ac.ir
Abstract:   (4149 Views)
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. 
Keywords: Electricity supply chain, capacity planning, location, two stage stochastic programming, chance constraint programming
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Type of Study: Research | Subject: Facilities Planning and Management
Received: 2018/08/22 | Accepted: 2018/12/15 | Published: 2018/12/19
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