Unit commitment – a fuzzy mixed integer Linear Programming solution

Author(s): B. Venkatesh ; T. Jamtsho ; H.B. Gooi
DOI: 10.1049/iet-gtd:20060529

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Author(s): B. Venkatesh ¹ ; T. Jamtsho ¹ ; H.B. Gooi ²
- Affiliations: 1: Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada
  2: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Source: Volume 1, Issue 5, September 2007, p. 836 – 846
DOI: 10.1049/iet-gtd:20060529 , Print ISSN 1751-8687, Online ISSN 1751-8695

Unit commitment (UC) of a large system is a complex puzzle with integer/continuous variables and numerous inter-temporal constraints. After deregulation, price offers submitted by GenCos are predominantly in the form of linear price quantity (PQ) pairs. A fuzzy UC formulation that uses price offers modeled as PQ pairs. This fuzzy linear optimisation formulation of UC is solved using a mixed integer linear programming (MILP) routine. In this formulation, start up cost is modelled using linear variables. The fuzzy formulation provides modeling flexibility, relaxation in constraint enforcement and allows the method to seek a practical solution. The use of MILP technique makes the proposed solution method rigorous and fast. The method is tested on a 24 h, 104-generator system demonstrating its speed and robustness gained by using the LP technique. A five-generator system is additionally used to create a see-through example demonstrating advantages of using the fuzzy optimisation model.

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Unit commitment – a fuzzy mixed integer Linear Programming solution

Unit commitment – a fuzzy mixed integer Linear Programming solution

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