Opportunities vis-Ã -vis threat to thermal genera-tion due to rising renewable energy penetration
Keywords:Hybrid Generation Unit Commitment Problem (HGUCP), Priority List Method (PLM), Particle Swarm Optimization with Time Varying Ac-Celeration Coefficients (PSO_TVAC), Renewable Energy Resources (RER).
An effort has been made to access what happens to prevailing thermal generation plants if the generation from renewable energy resources is increased above 20% of total generation. A test case has been taken where generation system comprising of ten thermal generating units is in conjunction with a 500 MW Wind Energy generation plant, and a 500 MW Solar Energy generation plant. It has been found that on one hand the cost of generation gets significantly reduced whereas, on the other hand few thermal generators are compelled to remain with no generation at all. The study reveals the peak load shaving and the economy achieved in overall generation system versus the threat to individual thermal generating plant due to inclusion of nearly 23% generation from renewable resources.
 Wood A. J. and Wollenberg B. F, â€œPower generation, operation and controlâ€, John Wiley & sons, New York, 3rd Edition.
 Vine E, â€œBreaking down the silos: the integration of energy efficiency, renewable energy, demand response and climate changesâ€, Energy efficiency, 1:49-63, 2008.
 Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson and Marco Zugno, â€œIntegrating Renewables in Electricity Markets: operational problemsâ€, International series in Operational Research& Management Science, Springer, 2014.
 Khanmohammadi S., Amiri M. and Tarafdar Haque M., â€œA new three stage method for solving unit commitment methodâ€, Elsevier Energy 35,pp 3072-3080,2010.
 Shubham Tiwari, Bharti Dwivedi, M.P Dave, â€œ 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.
 Shubham Tiwari, Bharti Dwivedi and M.P Dave, â€œ Unit Commitment Problem Solution for Renewable Integrated Generationâ€, i-managers Journal on Electrical Engineering, Vol. 10, Issue 04, pp 13-21, June 2017.
 Anup Shukla and S.N Singh, â€œPSO for solving Unit Commitment Problem including Renewable Energy Resourcesâ€, Electrical India, Vol. 54, No. 12, pp. 100-105, Dec. 2014.
 Shantanu C., Senjyu T.,Saber A.Y.,Yona A. and Funabashi T., â€œOptimal Thermal Unit Commitment Integrated with Renewable Energy Sources Using Advanced Particle Swarm Optimizationâ€, IEEJ Trans.4,pp.609-617, 2009.
 Anup Shukla, S.N Singh, â€œMulti-objective Unit Commitment with Renewable Energy using GSA Algorithmâ€, Springer, INAE Letters,vol.1,issue 1,pp.21-27,2016. https://doi.org/10.1007/s41403-016-0004-6.
 Shubham Tiwari, Abhishek Maurya, â€œParticle Swarm Optimization Technique with Time Varying Acceleration coefficients for load Dispatch Problemâ€, IJRITCC, Vol. 3, Issue 6, pp. 3878-3885, Jun. 2015
 Shubham Tiwari, Ankit Kumar, G.S. Chaurasia, G.S. Sirohi, â€œEconomic Load Dispatch Using Particle Swarm Optimizationâ€, IJAIEM, Vol. 2, Issue 4, pp 476-485, 2013.
 K.T Chaturvedi, Manjaree Pandit, Laxmi Srivastava,â€œSelf-Organizing Hierarchical Particle Swarm Optimization for Non-Convex Economic Dispatchâ€; IEEE Transactions on Power Systems, vol.23,pp.1079-1087, August2008. https://doi.org/10.1109/TPWRS.2008.926455.