Economic cost analysis of hybrid renewable energy system using HOMER

This paper deals with the optimal cost analysis of hybrid renewable energy system (HRES). The optimal cost analysis of HRES is done using Hybrid Optimization Model for Electric Renewable (HOMER). The HOMER energy modeling software is a powerful tool for designing and analyzing hybrid power systems, which contain a combination of conventional generators, cogeneration, wind turbines, solar photovoltaic's, hydropower, batteries, fuel cells, hydropower, biomass and other inputs. It is currently used all over the world by tens of thousands of people. HRES provides the electrical power for a remote located area. In this paper work, real time optimal cost analysis of HRES is done based on the load profile, solar radiation and wind speed which was collected from Mandapam in Ramanathapuram District, Tamil Nadu in India. HOMER is used here to optimize the system based upon the Total Net Present Cost (TNPC). Moreover, the optimization of system is obtained by varying the sensitivity variables like solar radiation, wind speed etc. Cash flow summary of the HRES system is obtained which will be useful for the optimal cost allocation of each individual component present in the system.

[1]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[2]  Peter Wolfs,et al.  Economic Analysis of Hybrid Renewable Model for Subtropical Climate , 2010 .

[3]  J. Lieslehto PID controller tuning using evolutionary programming , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[4]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[5]  K. Srinivasan,et al.  Non-linear State Estimation for Continuous Stirred Tank Reactor using Neural Network State Filter , 2006, 2006 Annual IEEE India Conference.

[6]  Kazem Mazlumi,et al.  Modeling of a hybrid power system for economic analysis and environmental impact in HOMER , 2010, 2010 18th Iranian Conference on Electrical Engineering.

[7]  S. N. Sivanandam,et al.  Introduction to genetic algorithms , 2007 .

[8]  Victor Sánchez,et al.  Optimal sizing of a hybrid renewable system , 2010, 2010 IEEE International Conference on Industrial Technology.

[9]  Ahmad Rohani,et al.  Optimum design of a hybrid Photovoltaic/Fuel Cell energy system for stand-alone applications , 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[10]  F. Giraud,et al.  Steady-state performance of a grid-connected rooftop hybrid wind-photovoltaic power system with battery storage , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[11]  Giri Venkataramanan,et al.  Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems , 1998 .

[12]  M.P. Sharma,et al.  Design of an Optimal Hybrid Energy System Model for Remote Rural Area Power Generation , 2007, 2007 International Conference on Electrical Engineering.

[13]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[14]  Mohammad Hosein Kazemi,et al.  Optimal design of PID controller for a CSTR system using particle swarm optimization , 2010, Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010.

[15]  G. Uma,et al.  Modelling of CSTR by fuzzy clustering , 2006, 2006 India International Conference on Power Electronics.

[16]  Jeremy Lagorse,et al.  Energy cost analysis of a solar-hydrogen hybrid energy system for stand-alone applications , 2008 .

[17]  Lingfeng Wang,et al.  PSO-Based Multi-Criteria Optimum Design of A Grid-Connected Hybrid Power System With Multiple Renewable Sources of Energy , 2007, 2007 IEEE Swarm Intelligence Symposium.

[18]  Pedro Rodriguez,et al.  Optimization of an experimental hybrid microgrid operation: Reliability and economic issues , 2009, 2009 IEEE Bucharest PowerTech.

[19]  S. Baskar,et al.  Optimization of PID parameters using Genetic Algorithm and Particle Swarm Optimization , 2007 .

[20]  Saifur Rahman,et al.  A decision support technique for the design of hybrid solar-wind power systems , 1998 .

[21]  M. Shakawat Hossan,et al.  Optimization and modeling of a hybrid energy system for off-grid electrification , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[22]  Belgin Emre Turkay,et al.  Economic analysis of standalone and grid connected hybrid energy systems , 2011 .

[23]  Mohammed E. El-Telbany,et al.  Employing Particle Swarm Optimizer and Genetic Algorithms for Optimal Tuning of PID Controllers: A Comparative Study , 2007 .

[24]  P. Dostal,et al.  Simulation Analyses Of Continuous Stirred Tank Reactor , 2008 .

[25]  H. Bolandi,et al.  Model predictive control with state estimation and adaptation mechanism for a continuous stirred tank reactor , 2007, 2007 International Conference on Control, Automation and Systems.