A unique mathematical model for maintenance strategies to improve energy flows of the electrical power sector

In this paper, an improved mathematical model that evaluates the economic efficiencies of the integrated energy system, comprising the fuel networks (coal and natural gas) and the electrical power system has been extended. According to this model, the economic efficiency of the electric energy system depends on many factors including electric generation, transmission subsystems and the ability to produce and transport a variety of primary energy sources. In this study, new constraints for maintenance of the electricity and natural gas subsystems have been considered in addition to the constraints of the previous model. Additionally, by using analysis of variance (ANOVA), the effect of climate conditions on different gas or electricity transmission regions (with the assumption of equal break-even point for failure probability) has been analyzed. Finally, conditions under which preventive maintenance should be applied have been discussed. Notice that the extended model is linear and has been solved with the GAMS 23.5.1 software.

[1]  Jong-Bae Park,et al.  Generating unit maintenance scheduling under competitive market environments , 2005 .

[2]  Farideh Atabi,et al.  Long Run Energy Demand in Iran: A Scenario Analysis , 2012 .

[3]  M.V.F. Pereira,et al.  Optimization of Fuel Contracts Management and Maintenance Scheduling for Thermal Plants under Price Uncertainty , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[4]  A. Kelly Maintenance Planning and Control , 1984 .

[5]  W. J. Chen Scheduling with dependent setups and maintenance in a textile company , 2009, Comput. Ind. Eng..

[6]  D. N. Prabhakar Murthy,et al.  Optimal Preventive Maintenance Policies for Repairable Systems , 1981, Oper. Res..

[7]  Kari Komonen,et al.  A cost model of industrial maintenance for profitability analysis and benchmarking , 2002 .

[8]  Jong-Bae Park,et al.  A new game-theoretic framework for maintenance strategy analysis , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[9]  Zita Vale,et al.  Stochastic short-term maintenance scheduling of GENCOs in an oligopolistic electricity market , 2013 .

[10]  D. Chattopadhyay,et al.  A game theoretic model for strategic maintenance and dispatch decisions , 2004, IEEE Transactions on Power Systems.

[11]  Frank Pettersson,et al.  Structural and operational optimisation of distributed energy systems , 2006 .

[12]  H.-J. Haubrich,et al.  Stochastic optimization of natural gas portfolios , 2008, 2008 5th International Conference on the European Electricity Market.

[13]  Chris McKellen Total Productive Maintenance , 2005 .

[14]  Rommert Dekker,et al.  Applications of maintenance optimization models : a review and analysis , 1996 .

[15]  Amik Garg,et al.  Maintenance management: literature review and directions , 2006 .

[16]  Ana Margarida,et al.  Economic efficiencies of the energy flows from the primary resource suppliers to the electric load centers , 2006 .

[17]  I. Kamwa,et al.  Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance , 2005, IEEE Transactions on Power Systems.

[18]  Martin Pehnt,et al.  Environmental impacts of distributed energy systems—The case of micro cogeneration , 2008 .

[19]  H.-J. Haubrich,et al.  Long-term planning of natural gas networks , 2008, 2008 5th International Conference on the European Electricity Market.

[20]  Michael Jong Kim,et al.  A maintenance model with minimal and general repair , 2010 .

[21]  R. C. Winton,et al.  An elementary guide to reliability , 1968 .

[22]  Kyung Chul Chae,et al.  Maintenance of deteriorating single server queues with random shocks , 2009, Comput. Ind. Eng..

[23]  Viliam Makis,et al.  Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair , 2009, Comput. Ind. Eng..