Optimization and Supervisory Control of Cogeneration Systems
Date
2013-03-05
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Optimization and supervisory control of cogeneration systems is studied in this thesis. Optimizing a cogeneration system is not only an optimization problem, but also a control one. The optimization addresses the problem of both equipment selection and equipment operation by handling it as a mixed integer non-linear programming (MINLP) problem. The MINLP problem is then solved using a novel three stage linear programming algorithm. The results show significant cost benefits across wide operation scenarios in the model cogeneration systems. The supervisory control addresses the problem of taking the plant to its optimal operating point while maintaining the critical plant parameters. A fuzzy supervisory control is developed and tested on a virtual cogeneration plant developed in SIMULINK. The results show that the fuzzy controller performs to expectation and tracks the optimal setpoints while maintaining critical plant parameters within limits
Description
Keywords
Engineering--Electronics and Electrical
Citation
Pandurangan, V. (2013). Optimization and Supervisory Control of Cogeneration Systems (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27210