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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
A novel two-stage stochastic programming model for uncertainty characterization in short-term optimal strategy for a distribution company
Energy, Volume 117, Year 2016
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Description
In order to supply the demands of the end users in a competitive market, a distribution company purchases energy from the wholesale market while other options would be in access in the case of possessing distributed generation units and interruptible loads. In this regard, this study presents a two-stage stochastic programming model for a distribution company energy acquisition market model to manage the involvement of different electric energy resources characterized by uncertainties with the minimum cost. In particular, the distribution company operations planning over a day-ahead horizon is modeled as a stochastic mathematical optimization, with the objective of minimizing costs. By this, distribution company decisions on grid purchase, owned distributed generation units and interruptible load scheduling are determined. Then, these decisions are considered as boundary constraints to a second step, which deals with distribution company's operations in the hour-ahead market with the objective of minimizing the short-term cost. The uncertainties in spot market prices and wind speed are modeled by means of probability distribution functions of their forecast errors and the roulette wheel mechanism and lattice Monte Carlo simulation are used to generate scenarios. Numerical results show the capability of the proposed method. © 2016
Authors & Co-Authors
Ahmadi, Abdollah
Australia, Sydney
Unsw Sydney
Siano, Pierluigi
Italy, Salerno
Università Degli Studi Di Salerno
Sarno, Debora
Italy, Salerno
Università Degli Studi Di Salerno
Gitizadeh, Mohsen
Iran, Shiraz
Shiraz University of Technology
Statistics
Citations: 17
Authors: 4
Affiliations: 5
Identifiers
Doi:
10.1016/j.energy.2016.10.067
ISSN:
03605442
Research Areas
Health System And Policy