Energy Management Optimization for Micro-grid PV and Wind Support System
Keywords:
Microgrids (MGs), wind turbine (WT), Load profile, Global Horizontal Irradiation (GHI), Optimum power contributionAbstract
Nowadays, microgrids play a crucial role in modern power systems due to possibility of integrating renewable energies into the Microgrids system. It is expected in near future that collaborating microgrids as a community has a great affect in providing efficient energy for suppliers. Therefore, optimal operation of a Microgrids, as a first step, is an important issue in this field. In this paper, by considering an integrated MG comprised of conventional generators, photovoltaic and wind a particle swarm optimization (PSO) is applied to minimize the cost function of the MG. Finally, the simulation results are discussed and analyzed to evaluate the system operation.
The study identifies an optimally sized hybrid energy structures that meets technical & economic criteria in line with reliability requirements. Additionally, a sensitivity analysis was performed, emphasizing the impact of Photovoltaic structures contribution as a critical factor in determining the structures’ economic efficiency.
References
A.N, C. (2002). Optimisation & techno-economic analysis of autonomous photovoltaic–windhybridenergystructuressincomparisontosinglephotovoltaic & wind structuress. Energy Conversion & Management, 43(18), 2453-2468.
Agbossou,K.,Kolhe,M.,Hamelin,J.,&Bose,T.K.(2004).Performanceofast&- alone renewable energy structures based on energy loding as hydrogen. IEEE Transactions on Energy Conversion, 19(3), 633-640.
Al-Badi, A. H., & Bourdoucen, H. (2009, 14-16 Jan. 2009). Economic analysis of hybridpowerstructuresforruralelectrificationinOman.Paperpresentedatthe 2nd International Conference on Adaptive Science & Technology.
&rews, J., & Shabani, B. (2012). Dimensionless analysis of the global techno- economicfeasibilityofsolar-hydrogenstructuressforconstant year-roundpower supply. International Journal of Hydrogen Energy, 37(1), 6-18.
Archer,C.L.(2003).Spatial&temporaldistributionsofU.S.winds&windpower at 80 m derived from measurements. Journal of Geophysical Research- Atmospheres, 108(D9), 4289.
Ashari,M.,&Nayar,C.V.(1999).Anoptimumdispatchstrategyusingsetpointsfora photovoltaic (PV)–diesel–batteryhybrid power structures. Solar Energy, 66(1), 1- 9.
Ashari,M.,Nayar,C.V.,&Keerthipala,W.W.L.(2001).Optimumoperationstrategy & economic analysis of a photovoltaic-diesel-battery-mains hybrid uninterruptible power supply. Renewable Energy, 22(1–3), 247-254.
Ayuwazira azhari, k. s., azami zaharim, mohamad al ghoul. (2008). A New Approach for Predicting Solar Radiation in Tropical Environment Using Satellite Images- Case Study of Malaysia. WSEAST ransactionon Environment & Development, 4(4).
Azoumah,Y.,Yamegueu,D.,Ginies,P.,Coulibaly,Y.,&Girard,P.(2011).
Sustainableelectricitygenerationforrural&peri-urbanpopulationsofsub- Saharan Africa: The “flexy-energy” concept. Energy Policy, 39(1), 131-141.
Bala,B.K.,&Siddique,S.A.(2009).OptimaldesignofaPV-dieselhybridstructuresfor electrification of an isolated isl&—S&wip in Bangladesh using genetic algorithm. Energy for Sustainable Development, 13(3), 137-142.
Baños,R.,Manzano-Agugliaro,F.,Montoya,F.G.,Gil,C.,Alcayde,A.,&Gómez,J. (2011). Optimization methods applied to renewable & sustainable energy: A review. Renewable & Sustainable Energy Reviews, 15(4), 1753-1766.
Bañuelos-Ruedas,F.,Angeles-Camacho,C.,&Rios-Marcuello,S.(2010).Analysis& validation of the methodology used in the extrapolation of wind speed data at different heights. Renewable & Sustainable Energy Reviews, 14(8), 2383- 2391.
Battery modelling for HEV simulation, Thermo Analytics, etc. (1999). from http://www.thermoanalytics.com/support/publications/batterymodelsdoc.html
Bechrakis, D. A., & Sparis, P. D. (2000). Simulation of the Wind Speed at Different HeightsUsingArtificialNeuralNetworks. WindEngineering,24(2),127-136.
Bernal-Agustín, J. L., Dufo-López, R., & Rivas-Ascaso, D. M. (2006). Design of isolatedhybridstructuressminimizingcosts&pollutantemissions.Renewable Energy, 31(14), 2227-2244.
C.G,J.(1978).Windenergystatisticsforlargearraysofwindturbines(NewEngl&& Central U.S. Regions). Solar Energy, 20(5), 379-386.
Caisheng, W., & Nehrir, M. H. (2008). Power Management of a St&-Alone Wind/Photovoltaic/FuelCellEnergyStructures.IEEETransactionsonEnergy Conversion, 23(3), 957-967.
Carta, J. A., & Mentado, D. (2007). A continuous bivariate model for wind power density&windturbineenergyoutputestimations.EnergyConversion& Management, 48(2), 420-432.
Carta,J.A.,Ramírez,P.,&Velázquez,S.(2009).Areviewofwindspeedprobability distributionsusedinwindenergyanalysis:CasestudiesintheCanaryIsl&s. Renewable & Sustainable Energy Reviews, 13(5), 933-955.