DocumentCode :
1778960
Title :
Reactive modelling of on-site energy system components for real-time application
Author :
Ghadimi, Pezhman ; Kara, Sadik ; Kornfeld, Bernard
Author_Institution :
Sch. of Mech. & Manuf. Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2014
fDate :
2-6 June 2014
Firstpage :
219
Lastpage :
224
Abstract :
The principle objective of this paper is to develop comprehensive models of on-site energy system components. This should facilitate reliable and optimal operation management of these systems in real-time. In practice management of these systems is mainly dependent on fixed operation planning of the integrated components. However the presence of multiple components, dynamic constraints and intermittent resources pose a dynamic and complex problem where the existing management schemes cannot lead to optimal practices at the utilisation stage. Consequently the value of a real-time management scheme that can guarantee system reliability, unit commitment, and optimal operational objectives is identified. However there is a lack of research on relevant modelling approaches of on-site energy system components to address real-time application requirements. To fulfill these gaps, we have proposed a reactive state-based modelling of potential components and associated model development methodology. This should enable models to encompass operational behavior of individual components and their aggregation as a system in a more reliable and applicable manner. Finally, reactive models of an existing manufacturing plant´s energy system components are developed and validated as a case study. The results illustrate potential of proposed modelling approach in comparison with existing ones to be applied in real-time.
Keywords :
power system management; power system reliability; power system simulation; dynamic constraints; fixed operation planning; integrated components; intermittent resources; on-site energy system; optimal operation management; optimal operational objectives; reactive modelling; real-time application; real-time management; system reliability; unit commitment; Biological system modeling; Boilers; Cogeneration; Data models; Load modeling; Mathematical model; Real-time systems; On-site energy system; Reactive modelling; Real-time energy management; State-based modelling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Energy and Power Systems (IEPS), 2014 IEEE International Conference on
Conference_Location :
Kyiv
Print_ISBN :
978-1-4799-2265-9
Type :
conf
DOI :
10.1109/IEPS.2014.6874183
Filename :
6874183
Link To Document :
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