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Energies 2017, 10(12), 2179;

A Probabilistically Constrained Approach for the Energy Procurement Problem

Department of Mechanical, Energy and Management Engineering, University of Calabria, via P. Bucci 41/C, 87036 Rende (CS), Italy
This paper is an extended version of our paper published in Energy Procedia: A multi-objective unit commitment problem combining economic and environmental criteria in a metaheuristic approach. Energia Procedia, 2017, 136, 283–289.
Author to whom correspondence should be addressed.
Received: 13 November 2017 / Revised: 10 December 2017 / Accepted: 15 December 2017 / Published: 19 December 2017
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The definition of the electric energy procurement plan represents a fundamental problem that any consumer has to deal with. Bilateral contracts, electricity market and self-production are the main supply sources that should be properly combined to satisfy the energy demand over a given time horizon at the minimum cost. The problem is made more complex by the presence of uncertainty, mainly related to the energy requirements and electricity market prices. Ignoring the uncertain nature of these elements can lead to the definition of procurement plans which are infeasible or overly expensive in a real setting. In this paper, we deal with the procurement problem under uncertainty by adopting the paradigm of joint chance constraints to define reliable plans that are feasible with a high probability level. Moreover, the proposed model includes in the objective function a risk measure to control undesirable effects caused by the random variations of the electricity market prices. The proposed model is applied to a real test case. The results show the benefit deriving from the stochastic optimization approach and the effect of considering different levels of risk aversion. View Full-Text
Keywords: energy procurement; chance constraints; risk management energy procurement; chance constraints; risk management

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Beraldi, P.; Violi, A.; Bruni, M.E.; Carrozzino, G. A Probabilistically Constrained Approach for the Energy Procurement Problem. Energies 2017, 10, 2179.

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