A computational tool for dispatching units in pool-based electricity markets

Author

Oloomi-Buygi, M. ; Karimpour, Ali ; Pariz, Naser

Author_Institution

Dept. of Power Syst., Shahrood Univ. of Technol., Shahrood

fYear

2007

fDate

3-6 Dec. 2007

Firstpage

692

Lastpage

696

Abstract

In this paper a new approach for solving mixed-integer nonlinear programming problems is presented. The approach is named probabilistic search. The main idea is to search the feasible solution area probabilistically instead of randomly. The presented approach is used to determine the dispatch value of each generator in a pool-based electricity market. In this approach the ON and OFF units are determined using the probabilistic search and the generation value of each unit is determined using the linear programming. A software was developed based on the proposed approach for unit commitment. The software is used in the Iranian electricity power pool now.

Keywords

electric generators; linear programming; nonlinear programming; power generation dispatch; power markets; probability; Iranian electricity power pool; electricity market; generator dispatch value; linear programming; mixed- integer nonlinear programming; probabilistic search approach; unit commitment; Asset management; Dispatching; Electricity supply industry; Power engineering; Power system planning; Electricity market; Genetic Algorithms; Mixed-Integer nonlinear programming; Probabilistic search; Unit commitment;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2007. IPEC 2007. International

Conference_Location

Singapore

Print_ISBN

978-981-05-9423-7

Type

conf

Filename

4510115