Optimization of hydrogen based hybrid renewable energy system using HOMER, BB-BC and GAMBIT

Abstract Non-conventional energy sources contribute important role in the current environment world policy, assuring a competent way to reduce GHG emission causing a global warming. This work is based on simulation and optimization of non-conventional energy system of an auditorium of Police station Sagar at central India. For this hybrid system the meteorological data of solar insolation, hourly wind speeds are taken at the site considered. The pattern of load consumption is studied and suitably modeled for optimization of the hybrid energy system using HOMER software. The results are compared with that of BIG BANG CRUNCH (BBC) algorithm and GAME Theory based concept. Based on optimization result, it has been found that replacing conventional energy sources by solar-wind-Fuel Cell-Hydrogen tank energy system will be a feasible solution for distribution of electric power for standalone application. The paper employs GAMBIT software to optimize the system which is based on the GAME theory concept. At the last regression analysis to be to find out value of R-square, Durwin-Watson statistics.

[1]  Jidong Wang,et al.  Optimal capacity allocation of standalone wind/solar/battery hybrid power system based on improved particle swarm optimisation algorithm , 2013 .

[2]  Chun-Lung Chen,et al.  Wind-photovoltaic capacity coordination for a time-of-use rate industrial user , 2009 .

[3]  Zhou Wei,et al.  Optimal design and techno-economic analysis of a hybrid solar–wind power generation system , 2009 .

[4]  E. Bompard,et al.  Comparative analysis of game theory models for assessing the performances of network constrained electricity markets , 2010 .

[5]  Javier Contreras,et al.  Sharing quotas of a renewable energy hedge pool: A cooperative game theory approach , 2011, 2011 IEEE Trondheim PowerTech.

[6]  Dhaker Abbes,et al.  Eco-design optimisation of an autonomous hybrid wind–photovoltaic system with battery storage , 2012 .

[7]  Djilani Benattous,et al.  Big Bang-Big Crunch Optimization Algorithm for the Maximum Power Point Tracking in Photovoltaic System , 2014 .

[8]  Lu Zhang,et al.  Deterministic Optimization and Cost Analysis of Hybrid PV/Wind/Battery/Diesel Power System , 2012 .

[9]  Sudha Balagopalan,et al.  Cooperative game theory for a reliable and economic transmission sector in electricity markets , 2011 .

[10]  G. C. Seeling-Hochmuth.  A combined optimisation concet for the design and operation strategy of hybrid-PV energy systems , 1997 .

[11]  K. Poolla,et al.  Coalitional Aggregation of Wind Power , 2013, IEEE Transactions on Power Systems.

[12]  Azami Zaharim,et al.  Optimization of renewable energy hybrid system by minimizing excess capacity , 2008 .

[13]  Tom E. Baldock,et al.  Feasibility analysis of stand-alone renewable energy supply options for a large hotel , 2008 .

[14]  Prashant Baredar,et al.  Optimisation of the hybrid renewable energy system by HOMER, PSO and CPSO for the study area , 2017 .

[15]  Francisco Jurado,et al.  Electrolyzer models for hydrogen production from wind energy systems , 2015 .

[16]  Mahmud Fotuhi-Firuzabad,et al.  Probabilistic power flow of correlated hybrid wind-photovoltaic power systems , 2014 .

[17]  John Lygeros,et al.  Multiagent hybrid system design using game theory and optimal control , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[18]  Marc A. Rosen,et al.  Economic analysis of standalone hybrid energy systems for application in Tehran, Iran. , 2016 .

[19]  S. Nema,et al.  Matlab / simulink based study of photovoltaic cells / modules / array and their experimental verification , 2010 .

[20]  L. Giovanini.  Game approach to distributed model predictive control , 2011 .

[21]  Pei-Hsing Huang,et al.  Applying small wind turbines and a photovoltaic system to facilitate electrolysis hydrogen production , 2016 .

[22]  Hamed Mohsenian Rad,et al.  Wind power integration via aggregator-consumer coordination: A game theoretic approach , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[23]  S. M. Shaahid,et al.  Prospects of autonomous/stand-alone hybrid (photo-voltaic + diesel + battery) power systems in commercial applications in hot regions , 2004 .

[24]  Shengwei Mei,et al.  Game Approaches for Hybrid Power System Planning , 2012, IEEE Transactions on Sustainable Energy.

[25]  Amit Kumar,et al.  Life cycle assessment of wind-based hydrogen production in Western Canada , 2016 .

[26]  M. A. Elhadidy,et al.  Performance evaluation of hybrid (wind/solar/diesel) power systems , 2002 .

[27]  Shuhui Li,et al.  Control of DFIG Wind Turbine With Direct-Current Vector Control Configuration , 2012, IEEE Transactions on Sustainable Energy.

[28]  Teuku Meurah Indra Mahlia,et al.  Techno-economic analysis of a wind–solar hybrid renewable energy system with rainwater collection feature for urban high-rise application , 2011 .

[29]  John Sharp.  Consumer incentives for solar energy , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[30]  Prashant Baredar,et al.  Status of solar wind renewable energy in India , 2013 .

[31]  José Ramón San Cristóbal,et al.  A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies , 2011 .

[32]  José L. Bernal-Agustín,et al.  Simulation and optimization of stand-alone hybrid renewable energy systems , 2009 .