Optimal Power Flow Management Control for Grid Connected Photovoltaic/Wind turbine/Diesel generator (GCPWD) Hybrid System with Batteries

Year 2013, Volume: 3 Issue: 4, 819 - 826, 01.12.2013

Bala Murugan Manoharan S.

Abstract

This paper proposes a Optimal Power Flow Management control for Grid Connected Photovoltaic/Wind turbine/ Diesel generator (GCPWD) Hybrid System with hybrid storage system. The energy system having a photo voltaic (PV) panel, wind turbine (WT) and diesel generator (DG) for continuous power flow management. A diesel generator is added to ensure uninterrupted power supply due to the discontinuous nature of solar and wind resources. The developed Grid Connected Photovoltaic/Wind turbine/ Diesel generator (GCPWD) Hybrid System has been applied to supply continuous power to the AC/DC loads. Grid Connected Photovoltaic/Wind turbine/Diesel generator (GCPWD) Hybrid System technology is the key for an efficient use of distributed energy sources. PV and wind turbine are being major energy source enables the dc loads and AC loads to be connected directly to the DC bus and grid. A Grid Connected Photovoltaic/Wind turbine/ Diesel generator (GCPWD) hybrid systems three power sources (PV, wind turbine and diesel generator) and two power sink (AC&DC loads). In this paper, the power flow management algorithm has five modes of operation namely, the PV mode, wind turbine mode, battery bank mode, hybrid mode and diesel generator mode. A prototype for the proposed system was designed, implemented and tested using a controlled load result show a DC linked/AC linked hybrid PV/Wind Turbine/diesel generator energy sources for standalone applications. The conventional boost converter decreases the efficiency of the system during turn On/Off during this interval, all switches in the proposed work perform zero-current switching (ZCS) by resonant inductor at turn-on and zero-voltage switching (ZVS) by resonant capacitor at turn-off. This switching pattern can reduce the switching losses and increases the efficiency of energy conversion of energy sources experimental results show that the hybrid energy system can deliver energy in a standalone installation with an acceptable cost.

Keywords

Photo Voltaic (PV) system, Wind turbine (WT) system, Diesel Generator (DG), Grid, Batteries

References

• Yann Riffonneau, Seddik bacha, Franck barruel and Stephanie Plane, “optimal power flow management for Grid connected PV system with Batteries”IEEE Transactions on sustainable energy, vor, no.3, PP.309- , july 2011. Rajesh Kumar, R.A.Gupta and Ajay Kumar
• Bansal,”Economic analysis and a Power Management of a stand-alone wind/Photovoltaic hybrid energy system using biogeography based optimization algorithm”, smarm and evolutionary computation, Elsevier,PP33- ,2013
• Trends in photo voltaic Applications survey Report of selected IEA countries between 1992 and 2007 IEA photo voltaic power systems program, IEA PVPS TI – , 2008.
• Cristiana Dragos Dumitra , Adrian Gligor,” SCADA based software for renewable energy management System, Elsevier, 262-267, 2012.
• Shu – Hung et al., “ A novel maximum Power point tracking Technique for solar panels using a SEPIC or Cuk Converters IEEE transaction on power electronic ,vol 18 [3], may 2003.
• Kohsris,Plang klang B.”energy management and control system for smart renewable energy remote power generation”, Energy procedia2011,9:198-206.
• P.Denhoma and R.M.Margolis,”evaluation the limits of solar Photovoltaics (PV) in electric power systems” Energy policy,Vol.35 PP.2852-2861,2007.
• C.Wang and M.H.Nehir,”Power Management of a Stand- alone wind/Photovoltaic/fuel cell energy system”,IEEE trans.Energy.Convers,Vol 23,no 3, PP-957-967,sep.2004
• T. T. Ha Pham, F. Wurtz, and S. Bacha, “Optimal operation of a PV based multi-source system and energy management for household application,” in Proc. IEEE Int. Conf. Industrial Technology (ICIT), Gippsland, Victoria, Australia, 2009, pp. 1–5.
• B. Lu andM. Shahidehpour, “Short term scheduling of battery in a grid connected PV/battery system,” IEEE Trans. Power Syst., vol. 20, no. 2, pp. 1053–1061, May
• F. Besnard and L. Bertling, “An approach for condition-based maintenance optimization applied to wind turbine blades,” IEEE Trans. SustainableEnergy, vol. 1, no. 2, pp. 77–83, Jul. 2010.
• M. Ceraolo, “New dynamical models of lead-acid batteries,” IEEE Trans. Power Syst., vol. 15, no. 4, pp. –1190, Nov. 2000.
• C. A. Shepherd, “Design of primary and secondary ceils—II. An equation describing battery discharge,” J. Electrochem. Soc., vol. 112, no. 7, pp. 657–664, 1965.
• J. B. Copetti, E. Lorenzo, and F. Chenlo, “A general battery model for PV systm simulation,” Prog. Photovoltaics, Res. Applicat., vol. 1, pp. 283–292, 1993.
• A. Delaille, F. Huet, E. Lemaire, F. Mattera, M. Perrin, and M. Vervaart, “Development of a battery fuel gauge based on ampere-hour counting,” in Proc. 21st Eur. Photovoltaic Solar Energy Conf., Dresden, Germany, Sep. 4–8, 2006.
• C. Venu, Y. Riffonneau, S. Bacha, and Y. Baghzouz, “Battery storagesystem sizing in distribution feeders with distributed photovoltaic systems,”in Proc. IEEE Powertech Conf., Roumania, Bucarest, 2009.
• Jun-Hai Shi, Xin-Jian Zhu and Guang-Yi Cao. Design and techno-economical optimization for stand- alonehybrid evolutionaryalgorithms. international journal of energy research 2007; 31:315–328 with multi-objective
• Celik AN. Optimization and techno-economic analysis of autonomous photovoltaic-wind hybrid energy systems incomparison to single photovoltaic and wind systems. Energy Conversion and Management; 2002: :2453–2468