Optimisation of the hybrid renewable energy system by HOMER, PSO and CPSO for the study area

This study is based on simulation and optimisation of the renewable energy system of the police control room at Sagar in central India. To analyse this hybrid system, the meteorological data of solar insolation and hourly wind speeds of Sagar in central India (longitude 78°45′ and latitude 23°50′) have been considered. The pattern of load consumption is studied and suitably modelled for optimisation of the hybrid energy system using HOMER software. The results are compared with those of the particle swarm optimisation and the chaotic particle swarm optimisation algorithms. The use of these two algorithms to optimise the hybrid system leads to a higher quality result with faster convergence. Based on the optimisation result, it has been found that replacing conventional energy sources by the solar–wind hybrid renewable energy system will be a feasible solution for the distribution of electric power as a stand-alone application at the police control room. This system is more environmentally friendly than the conventional diesel generator. The fuel cost reduction is approximately 70–80% more than that of the conventional diesel generator.

[1]  Ziyad M. Salameh,et al.  Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system , 1996 .

[2]  Gonggui Chen,et al.  Chaotic PSO for computing DOPF of power systems with VSCFGs wind farms , 2012, 2012 7th International Conference on Computer Science & Education (ICCSE).

[3]  José L. Bernal-Agustín,et al.  Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage , 2011 .

[4]  Ozan Erdinc,et al.  Optimum design of hybrid renewable energy systems: Overview of different approaches , 2012 .

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

[6]  S. M. Shaahid.  Impact of battery storage on economics of hybrid wind-diesel power systems in commercial applications in hot regions , 2013 .

[7]  G. H. Riahy,et al.  Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages , 2009 .

[8]  Mohammad Tayyab,et al.  PV-solar / Wind Hybrid Energy System for GSM/CDMA Type Mobile Telephony Base Station , 2015 .

[9]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[10]  Mohsen Kalantar,et al.  Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage , 2010 .

[11]  Gayatri Agnihotri,et al.  Optimal sizing of solar-wind hybrid system , 2007 .

[12]  A. G Bhave.  Hybrid solar–wind domestic power generating system—a case study , 1999 .

[13]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[14]  Luis C. Dias,et al.  Assessing the performance of biogas plants with multi-criteria and data envelopment analysis , 2009, Eur. J. Oper. Res..

[15]  A. M. M. A. Allam,et al.  The Design of a 0.35THz Microstrip Patch Antenna on LTCC Substrate , 2012 .

[16]  Sergio B. Silva,et al.  Economic evaluation and optimization of a photovoltaic-fuel cell-batteries hybrid system for use in the Brazilian Amazon. , 2010 .

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

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

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

[20]  Jeremy Lagorse,et al.  Hybrid stand-alone power supply using PEMFC, PV and battery - Modelling and optimization , 2009, 2009 International Conference on Clean Electrical Power.

[21]  Imtiaz Ahmed Choudhury,et al.  Modeling, Control, and Simulation of Battery Storage Photovoltaic-Wave Energy Hybrid Renewable Power Generation Systems for Island Electrification in Malaysia , 2014, TheScientificWorldJournal.

[22]  M. J. Khan,et al.  Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland , 2005 .

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

[24]  C. Jivacate,et al.  Particle swarm optimization for AC-coupling stand alone hybrid power systems , 2011 .

[25]  R. Eberhart,et al.  Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[26]  Amr Abou-Ghazala,et al.  Dynamic Voltage Restorer (DVR) for Voltage Sag Mitigation , 2011 .

[27]  S Arun,et al.  MODELING OF HYBRID WIND AND PHOTOVOLTAIC ENERGY SYSTEM USING A NEW CONVERTER TOPOLOGY , 2012 .

[28]  A. K. Akella,et al.  OPTIMIZATION OF PV/WIND/ MICRO-HYDRO/DIESEL HYBRID POWER SYSTEM IN HOMER FOR THE STUDY AREA , 2011 .

[29]  Djamila Diaf,et al.  A methodology for optimal sizing of autonomous hybrid PV/wind system , 2007 .

[30]  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 .

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

[32]  Soteris A. Kalogirou,et al.  Artificial intelligence techniques for sizing photovoltaic systems: A review , 2009 .

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

[34]  Wei Zhou,et al.  OPTIMAL SIZING METHOD FOR STAND-ALONE HYBRID SOLAR–WIND SYSTEM WITH LPSP TECHNOLOGY BY USING GENETIC ALGORITHM , 2008 .

[35]  Ziyad M. Salameh,et al.  Dynamic response of a stand-alone wind energy conversion system with battery energy storage to a wind gust , 1997 .

[36]  Orhan Ekren,et al.  Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology , 2008 .

[37]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[38]  John K. Kaldellis,et al.  Optimum sizing of an autonomous wind–diesel hybrid system for various representative wind-potential cases , 2006 .

[39]  S. M. Shaahid,et al.  Decentralized/stand-alone hybrid Wind–Diesel power systems to meet residential loads of hot coastal regions , 2005 .

[40]  S. M. Moghaddas-Tafreshi,et al.  Optimal sizing of a stand-alone hybrid power system via particle swarm optimization for Kahnouj area in south-east of Iran , 2009 .