New probabilistic method for solving economic dispatch and unit commitment problems incorporating uncertainty due to renewable energy integration

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Lujano Rojas, JM (Author) Other; Osorio, GJ (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: International Journal of Electrical Power and Energy Systems

Vol. 78

Pages: 61-71

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 23 Citations

Scopus - 27 Citations

Other information

Authenticus ID: P-00K-0VH

DOI: 10.1016/j.ijepes.2015.11.064

Abstract (EN): In this paper, a methodology to solve Unit Commitment (UC) problem from a probabilistic perspective is developed and illustrated. The method presented is based on solving the Economic Dispatch (ED) problem describing the Probability Distribution Function (PDF) of the output power of thermal generators, energy not supplied, excess of electricity, Generation Cost (GC), and Spinning Reserve (SR). The obtained ED solution is combined with Priority List (PL) method in order to solve UC problem probabilistically, giving especial attention to the probability of providing a determined amount of SR at each time step. Three case studies are analysed; the first case study explains how PDF of SR can be used as a metric to decide the amount of power that should be committed; while in the second and third case studies, two systems of 10-units and 110-units are analysed in order to evaluate the quality of the obtained solution from the proposed approach. Results are thoroughly compared to those offered by a stochastic programming approach based on mixed-integer linear programming formulation, observing a difference on GCs between 1.41% and 1.43% for the 10-units system, and between 3.75% and 4.5% for the 110-units system, depending on the chosen significance level of the probabilistic analysis.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11