Fuzzy logic implementation for solving the unit commitment problem

Abstract

This paper presents a new approach for solving the unit commitment problem using fuzzy logic. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. The fuzzy logic is an effective approach that can be implemented to take into account the uncertainty in load demands, ageing of machines and line losses. Sets of linguistic fuzzy control rules establish the relationships between the inputs and the outputs. These rules can be extracted from commonsense, intuitive knowledge, survey results, general principles, laws and other means that reflect the real world situations. The Neyveli thermal power station (NTPS) unit II in India demonstrates the effectiveness of the proposed approach. Extensive studies have been performed for different power systems consisting of 10, 26 and 34 generating units. Numerical results are shown comparing the cost solutions and computation time obtained by using fuzzy dynamic programming and other conventional methods like dynamic programming, Lagrangian relaxation method. It is concluded from the results that the proposed fuzzy logic approach is very effective (cheaper with less computation time).