Impacts of Operational Variability and Uncertainty on Distributed Generation Investment Planning: A Comprehensive Sensitivity Analysis

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Santos, SF (Author) Other; Fitiwi, DZ (Author) Other; Bizuayehu, AW (Author) Other; Shafie Khah, M (Author) Other; Asensio, M (Author) Other; Contreras, J (Author) Other; Cabrita, CMP (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IEEE Transactions on Sustainable Energy

Vol. 8

Pages: 855-869

ISSN: 1949-3029

Publisher: IEEE

Indexing

ISI Web of Knowledge - 27 Citations

Scopus - 30 Citations

Other information

Authenticus ID: P-00M-PW9

DOI: 10.1109/tste.2016.2624506

Abstract (EN): This paper presents a comprehensive sensitivity analysis to identify the uncertain parameters which significantly influence the decision-making process in distributed generation (DG) investments and quantify their degree of influence. To perform the analysis, a DG investment planning model is formulated as a novel multistage and multiscenario optimization problem. Moreover, to ensure tractability and make use of exact solution methods, the entire problem is kept as a mixed-integer linear programming optimization. A real-world distribution network system is used to carry out the analysis. The results of the analysis generally show that uncertainty as well as operational variability of the considered parameters have meaningful impacts on investment decisions of DG. The degree of influence varies from one parameter to another. But, in general, ignoring or inadequately considering uncertainty and variability in model parameters has a quantifiable cost. Hence, the analysismade in this paper can be very useful to identify the most relevant model parameters that need special attention in planning practices.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15