Real-time commercial availability index of a steam power plant: Graph theory and matrix method

Abstract

Worldwide, the structure of the power industry is changing to that of a market economy to ensure commercial accountability. Resources, therefore, are allocated for operation and maintenance from commerical considerations rather than technical alone, necessitating the introduction of a commercial approach to analysis of reliabilty, efficiency, and maintenance criticality for power plants. These requirements suggest the need to introduce performance monitoring systems in the form of a single composite index encompassing the consequences of non-performance with respect to all these parameters and which can effectively respond to market demands. Such performance monitoring system is developed in the current paper.Graph theory has been applied to the complex system of a steam power plant to consider its structure explicitly and to derive reliability/availability, efficiency, and maintenance indices. Its representation at system level is modeled by system structure graphs to study reliability/efficiency indices (viz. RTRI and RTEI). The approach has already been applied by the authors for the development of an efficiency index, i.e. RTEI, and a maintenance criticality index to optimize the maintenance cost. In the current paper, it is applied to develop a single composite index, i.e., a real-time commercial availability index (RTAI) com . The various attributes that affect commercial availability are identified as also the interactions among them. With these, a commercial availability attributes' digraph is developed and its corresponding variable permanent commercial availability attribute interaction matrix is written. The permanent function of this matrix is then analysed to study the various aspects of commercial availability as well as to evaluate (RTAI) Com . A scheme for implementation of the procedure to develop a single composite index has also been proposed. This will monitor the health of the mechanical equipment of a steam power plant as Supervisory Control and Data Acquisition (SCADA) monitors its electrical equipment.during the available hours ([1]), the commercial consequences of non-performance of power plants during the required hours would have to be accounted for while determining the cost of generation. Therefore, from the generator's point of view, a power plant should operate reliably, efficiently, and within the prevailing market price to enable the booking of maximum profit margins. Hence, availability of a power plant is to be judged from market signals rather than technical (that is energy and time) alone. These signals are sent through the unscheduled JPE366

Identification of key enablers for total productive maintenance (TPM) implementation in Indian SMEs

“…For the successful S. No. Application field References 1 Quality Grover et al (2004Grover et al ( , 2005Grover et al ( , 2006, Kulkarni (2005) Mohan et al (2003Mohan et al ( , 2004Mohan et al ( , 2007Mohan et al ( , 2008, Garg et al (2006Garg et al ( , 2007, Dev et al (2012Dev et al ( , 2013 Structural modeling Prabhakaran et al (2006), Singh and Agrawal (2008), Kumar et al (2010) 5 Mechatronic system Kiran et al (2011Kiran et al ( , 2012 Supply chain management (SCM) Faisal et al (2006Faisal et al ( , 2007a, Kaur et al (2006) Manufacturing environment Venkatesh and Smith (2003), Rao (2004Rao ( , 2006a, Rao and Padmanabhan (2006, 2010, Chakladar et al (2009), Gadakh and Shinde (2011), Koulouriotis and Ketipi (2011) (Panneerselvam, 2012;Attri et al, 2012b;Poduval et al, 2013). Commitment of top management should be strongly demonstrated toward TPM implementation and they should explain the significance and benefits of it (Panneerselvam, 2012;Okpala and Onyekachi, 2016).…”

Reliability evaluation and analysis of CNC cam shaft grinding machine

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Employee engagement index: A graph‐theoretic matrix approach

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