Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Duration curve approach for managing uncertainty of renewable generation while dispatching a mixed generation portfolio

Bhandari, N.M. and Galloway, S. and Burt, G.M. and McDonald, J.R. (2005) Duration curve approach for managing uncertainty of renewable generation while dispatching a mixed generation portfolio. International Journal of Emerging Electric Power Systems, 2 (2). pp. 1-25. ISSN 1553-779X

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Many analytical solution methods are incapable of dealing with modern power system planning, operation and control problems due to various uncertainties involved in the system. Generation output from most of renewable energy (RE) sources is uncertain which varies with time. Therefore, appropriate solution methods need to be considered in light of the uncertainty of RE generation. In this paper, a generation duration curve approach has been presented in order to handle the uncertainty of RE generation output while solving a combined dispatch problem of fossil fuel (FF) units and RE sources. A cost minimisation scheduling problem of FF units along with forecasted quantities of RE sources is formulated and solved considering the probability of meeting or exceeding anticipated shortfalls of RE outputs. Due to the complexity of the problem a genetic algorithm (GA) based solution approach is considered for solving the problem. A test problem with five FF units and three RE sources is formulated and solved under various considerations. It is demonstrated that the combined operation of FF units with RE sources gives better results, which can also manage uncertainty associated with RE generation outputs.

Item type: Article
ID code: 7096
Keywords: renewable energy, power systems, duration curve approach, electric power systems, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Unknown Department
Professional Services > Corporate Services Directorate
Related URLs:
Depositing user: Strathprints Administrator
Date Deposited: 04 Nov 2008
Last modified: 04 Sep 2014 16:21
URI: http://strathprints.strath.ac.uk/id/eprint/7096

Actions (login required)

View Item