Optimized Generation Scheduling of Thermal Generators Integrated to Wind Energy System with Storage
Abstract
The rising energy demand and climate change issues have warranted the inclusion of renewable energy resources with existing conventional fuel based generation system. The intermittent renewable generation require adequate battery support in order to minimize load deficit issues in electrical grid. Hence, an attempt has been made in this paper to formulate a short term deterministic Unit Commitment problem in renewable integrated environment with battery storage. Ten thermal generators are scheduled with a 500 MW wind energy generation system supported by 200 MWh battery with backup of four hours. A three stage solution methodology is evolved involving hybrid Particle Swarm Optimization (PSO) technique to provide techno-economic solution to this complex optimization problem. The charge/ discharge scheduling of battery energy storage integrated to wind generation system is taken up as a co-optimization problem. The generation of battery energy storage integrated wind energy system is so scheduled that it relieves the costlier thermal generating units in the most economic manner.
Keywords
Full Text:
PDFReferences
Vine E, “Breaking down the silos: the integration of energy efficiency, renewable energy, demand response and climate changesâ€, Energy efficiency, Vol. 1, Issue 1, pp. 49-63, 2008
Evans A, Strezov V, Evans T. J., “Assessment of sustainability indicators for renewable energy technologiesâ€, Renewable and Sustainable Energy Reviews, Elsevier, Vol.13, Issue 5, pp.1082-1088, 2009.
Islam M, Mekhilef S, Saidur R, “Progress and recent trends in wind energy technologyâ€, Renewable and Sustainable Energy Reviews, Elsevier, Vol.21, pp. 456-468, 2013.
Kaplan O., Temiz M., “The analysis of wind speed potential and energy density in Ankaraâ€, In Proceedings of International Conference on Renewable Energy Research and Applications (ICRERA-2016), Birmingham, UK, pp 919-923, 2016.
Munoz Vaca S., Patsios C., Taylor P., “Enhancing frequency response of wind farms using hybrid energy storage systemsâ€, â€, In Proceedings of International Conference on Renewable Energy Research and Applications (ICRERA-2016), Birmingham, UK, pp 325-329, 2016.
Saboori S., Kazemzadeh R. and Saboori H., “Assessing Wind Energy Uncertainity Impact on Joint Energy and Reserve Markets by using Stochastic Programming Evaluation Metricesâ€, International Journal of Renewable Energy Research (IJRER), Vol. 5, Issue 4, pp.1241-1251, 2015.
Suberu MY, Mustafa MW, Bashir N, “Energy Storage Systems for renewable energy power sector integration and mitigation of intermittencyâ€, Renewable and Sustainable Energy Reviews, Elsevier,Vol.35, pp. 499-514,2014.
Diouf B, Pode R, “Potential of lithium ion batteries in renewable energyâ€, Renewable Energy, Vol.76, pp 375-380, 2015.
Castillo A, Gayme DF, “Grid Scale energy storage applications in renewable energy integration: A Surveyâ€, Energy Conversion and Management, Elsevier, Vol.87, pp. 885-894, 2014.
Hadjipaschalis I, Poullikkas A, Efthimiou V, “Overview of current and future energy storage technologies for electric power applicationsâ€, Renewable and Sustainable Energy Reviews, Elsevier, Vol. 13, pp.1513-1522, 2009.
Zhao H, Wu Q, Hu S, Xu H and Rasmussen CN, “Review of Energy Storage System for Wind Power Integration Supportâ€, Applied Energy, Vol. 137, pp 545-553, 2015.
Reihani E, Sepasi S, Roose LR and Matsuura M, “Energy Management at the distribution grid using a Battery Energy Storage System (BESS)â€, International Journal of Electric Power and Energy Systems, Elsevier, Vol.77, pp.337-344, 2016.
Chatzivasileiadi A, Ampatzi E, Knight I, “Characteristics of electrical energy storage technologies and their applications in buildingsâ€, Renewable and Sustainable Energy Reviews, Elsevier, Vol. 25, pp.814-830, 2013.
Wade NS, Taylor PC, Lang PD, Jones PR, “Evaluating the benefits of an electrical storage system in a future smart gridâ€, Energy Policy, Elsevier, Vol.38, Issue 11, pp.7180-7188, 2010.
Bhandari B, Poudel SR, Lee KT, Ahn S, “Mathematical Modelling of Hybrid Renewable Energy System: A review on small Hydro-solar-wind power generationâ€, International Journal of Precision Engineering and Manufacturing-Green Technology, Springer, Vol.1, Issue 2, pp.157-173, 2014.
Yang H, Lu L, Zhou W, “A novel optimization sizing model for hybrid solar-wind power generation systemâ€, Solar Energy, Elsevier, Vol. 81, pp.76-84, 2007.
Wood A. J. and Wollenberg B. F, “Power generation, operation and controlâ€, John Wiley & sons, New York, 3rd Edition.
W.L. Snyder, H.D. Powell, and J.C. Rayburn, “Dynamic Programming approach to Unit Commitmentâ€, IEEE Trans. On Power Systems, Vol. 2, pp. 339-351, 1987
Tiwari S., Dwivedi B., and Dave M.P., “A Two stage solution methodology for Deterministic Unit Commitment problemâ€, In: Proceedings of 3rd IEEE International Conference on Electrical, Computer and Electronics( UPCON-2016), 09-11 Dec., 2016.
Hossain J., Sakib N., Hossain E., Bayindir R., “Modelling and simulation of Solar plant and storage system: A step to micro-grid technologyâ€, International Journal of Renewable Energy Research (IJRER), Vol.17, Issue 2, pp. 723-737.
Islam A., Nimmagada S., Subburaj A., Bayne S.B., “A review of frequency response solution for Type-3 wind turbines using energy storage deviceâ€, International Journal of Renewable Energy Research (IJRER), Vol.16, Issue 4, pp. 1416-1422, 2016.
Shukla A., and Singh S.N., “PSO for solving Unit Commitment Problem including Renewable Energy Resourcesâ€, Electrical India, Vol. 54, No. 12, pp. 100-105, Dec. 2014
Shukla A. and Singh S.N., “Advanced three stage pseudo inspired weight improved crazy particle swarm optimization for Unit Commitment Problemâ€, Elseveir, Energy, Vol.96, pp.23-36, Feb. 2016.
Tiwari S., Dwivedi B. and Dave M.P., “Unit Commitment Problem Solution for Renewable Integrated Generationâ€, i-manager’s Journal on Electrical Engineering, Vol. 10, Issue 4,pp. 13-21, 2017.
Shantanu C., Senjyu T., Saber A.Y., Yona A. and Funabashi T., “Optimal Thermal Unit Commitment Integrated with Renewable Energy Sources Using Advanced Particle Swarm Optimizationâ€, IEEJ Trans.4, pp.609-617, 2009.
Powell L., “Power system load flow analysisâ€, Mc Graw Hill Professional Series, 2004.
Yang H., Lu L. and Zhou W., “A novel optimization sizing model for hybrid solar-wind power generation systemâ€, Elseveir, Solar Energy, Vol. 81, pp.76-84., 2007.
Khanmohammadi S., Amiri M. and Tarafdar Haque M., “A new three stage method for solving unit commitment methodâ€, Elsevier Energy Vol.35, 3072-3080., 2010.
Chaturvedi K.T., Pandit M., Srivastava L., “Self-Organizing Hierarchical Particle Swarm Optimization for Non-Convex Economic Dispatchâ€; IEEE Transactions on Power Systems, Vol.23, pp.1079-1087.,2008.
Tiwari S., Maurya A., “Particle Swarm Optimization Technique with Time Varying Acceleration coefficients for load Dispatch Problemâ€, IJRITCC, Vol. 3, Issue 6, pp. 3878-3885., 2015.
Kazarlis S.A., Bakirtzis A.G. and Petridis V., “A Genetic Algorithm Solution to Unit Commitment Problemâ€, IEEE Transactions on Power Systems, Vol. 11, Issue 1, 1996.
DOI (PDF): https://doi.org/10.20508/ijrer.v8i2.7084.g7359
Refbacks
- There are currently no refbacks.
Online ISSN: 1309-0127
Publisher: Gazi University
IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);
IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.
WEB of SCIENCE in 2025;
h=35,
Average citation per item=6.59
Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43
Category Quartile:Q4