Optimal reconfiguration and scheduling of a smart distribution network with uncertain renewables and price-responsive demand

  • Ahmad Ghasemi Jundi-Shapur University of Technology


A new two-stage operation scheduling framework is proposed in this paper to optimize day-ahead (DA) operation of a reconfigurablesmart distribution network (SDN). The SDN contains wind farm as uncertain renewable generation as well asresponsive demand and is operated by a distribution company (DisCo). The DisCo implements nodal hourly pricing as a pricebaseddemand response program (DRP) to modify consumers’ demand profile. Retail prices are determined in the first stageof the proposed scheduling framework, while the best network topology and the bidding strategy of the DisCo in the DA energymarket are determined in the second stage. The two point estimate method (TPEM) is implemented in this paper to modelthe intrinsic uncertainty of wind farm power generation and responsive demand. Finally, the effectiveness of the proposedframework is evaluated in several case studies.


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How to Cite
GHASEMI, Ahmad. Optimal reconfiguration and scheduling of a smart distribution network with uncertain renewables and price-responsive demand. Journal of Power Technologies, [S.l.], v. 96, n. 3, p. 183--193, oct. 2016. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/864>. Date accessed: 17 sep. 2021.
Renewable and Sustainable Energy


Reconfiguration; Smart distribution network (SDN); Demand response; Retail pricing; Wind power generation; Uncertainty

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