Unit Commitment Problem Solution for RenewableIntegrated Generation

Shubham Tiwari*, Bharti Dwivedi**, M.P. Dave***
* Research Scholar, Department of Power Systems, Institute of Engineering and Technology, Lucknow, U.P., India.
** Professor, Institute of Engineering and Technology, Lucknow, U.P., India.div>
*** Professor, Shiv Nadar University, Dadri, U.P., India.
Periodicity:April - June'2017
DOI : https://doi.org/10.26634/jee.10.4.13510

Abstract

A hybrid solution technique involving Priority List Method and Particle Swarm Optimization with time varying acceleration coefficients has been envisaged to solve Unit Commitment Problem for a generation system involving wind generation and solar generation in conjunction with conventional thermal power plants, for given load pattern. The costs obtained for two cases, one with only thermal generation, while the other with the renewable generations in conjunction with the thermal power plants. The availability of renewable energy resources have been duly taken care. The comparison between both the cases establishes a substantial reduction in the operating cost for the case where renewable generation is integrated with the thermal generation. It is found that the proposed technique is reliable and robust after executing the simulation several times. All the work has been carried out in MATLAB environment.

Keywords

Unit Commitment Problem (UCP), Priority List Method (PLM), Particle Swarm Optimization (PSO), Particle Swarm Optimization with Time Varying Acceleration Coefficients (PSO_TVAC), Renewable Energy Resources (RES), Economic Load Dispatch (ELD)

How to Cite this Article?

Tiwari, S., Dwivedi, B., and Dave, M.P. (2017). Unit Commitment Problem Solution for Renewable Integrated Generation. i-manager’s Journal on Electrical Engineering, 10(4), 13-21. https://doi.org/10.26634/jee.10.4.13510

References

[1]. Anup Shukla and S.N. Singh (2016). “Multi-objective Unit Commitment using Search Space Based Crazy PSO and Normal Boundary Intersection Technique”. IET, Generation, Transmission and Distribution, Vol. 10, No. 5, pp. 1222-1231.
[2]. Anup Shukla and S.N Singh, (2014). “PSO for solving Unit Commitment Problem including Renewable Energy Resources”. Electrical India, Vol. 54, No. 12, pp. 100-105.
[3]. Aoki, T. Satoh, M. Itoh, T. Ichimori, and K. Masegi, (1987). “Unit Commitment in a Large Scale Power System including fuel constrained thermal and pumped storage hydro”. IEEE Trans. on Power Systems, Vol. 2, No. 4, pp. 1077-1084.
[4]. Bums R.M., and Gibson C.A (1975). “Optimization of priority lists for a unit commitment program”. In: Proceedings of the IEEE Power Engineering Society Summer Meeting, A 75 453-1.
[5]. K.T. Chaturvedi, Manjaree Pandit, and Laxmi Srivastava, (2008). “Self-Organizing Hierarchical Particle Swarm Optimization for Non-Convex Economic Dispatch”. IEEE Transactions on Power Systems, Vol. 23, No. 3, pp. 1079-1087.
[6]. Gaing Z.L., (2003). “Discrete Particle Swarm Optimization Algorithm for Unit Commitment”. In IEEE Power Engineering Society General Meeting, Vol. 1, pp. 13-17.
[7]. W.J. Hobbs, G. Hermon, S. Warner, and G.B. Sheble (1988). “An enhanced dynamic programming approach for unit commitment”. IEEE Trans. on Power Systems, Vol. 3, No. 3, pp 1201-1205.
[8]. Khanmohammadi S., Amiri M. and Tarafdar Haque M., (2010). “A new three stage method for solving unit commitment method”. Elsevier Energy, Vol. 35, pp. 3072- 3080.
[9]. P.G. Lowery, (1966). “Generating Unit Commitment by Dynamic Programming”. IEEE Trans. on Power Apparatus and Systems, Vol. 85, No. 5, pp 422-426.
[10]. Matsui T., Takata T., Kato M., Aoyagi M., Kunugi M., Shimada K., and Nagato J., (1996). “Practical approach to Unit Commitment problem using Genetic Algorithm and Lagrangian Relaxation method”. Proceedings (ISAP) Intelligent Systems Applications to Power Systems, pp. 434-440.
[11]. Mukarta D. and Yamashiro S., (2005). “Unit Commitment scheduling by Lagrange relaxation method taking into account transmission losses”. Elect. Eng., in Jpn, Vol. 152, No. 4, pp. 27-33.
[12]. Ongsakul W., and Petcharaks N., (2004). “Unit Commitment by enhanced adaptive Lagrangian Relaxation”. IEEE Transactions on Power Systems, Vol. 19, No. 1, pp. 620-8.
[13]. Pappala V.S., and Erlich I., (2008). “A new approach for solving Unit Commitment Problem by adaptive Particle Swarm Optimization”. Power and Energy Society General Meeting Conversion and Delivery of Electrical Energy in st the 21 Century, IEEE, USA, pp.1-6.
[14]. Saber A.Y., (2008). “Scalable Unit Commitment by memory bounded Ant Colony Optimization with a local search”. Electrical Power & Energy Systems, Vol. 30, No. 6- 7, pp. 403-414.
[15]. Sayeed Salem, (2007). “Unit Commitment Solution Methods”. World Academy of Science, Engineering and Technology, pp. 320-325.
[16]. Senjyu T., Shimabukuro K., Uezato K., and Funabashi T., (2003). “A fast technique for unit commitment problem by extended priority list”. IEEE Transactions on Power Systems, Vol. 18, No. 2, pp. 882-8.
[17]. Shantanu C., Senjyu T., Saber A.Y., Yona A., and Funabashi T. (2009). “Optimal Thermal Unit Commitment Integrated with Renewable Energy Sources using Advanced Particle Swarm Optimization”. IEEE J. Trans., Vol. 4, No. 5, pp.609-617.
[18]. Shubham Tiwari, and Abhishek Maurya, (2016). “Particle Swarm Optimization Technique with Time Varying Acceleration coefficients for load Dispatch Problem”. IJRITCC, Vol. 3, No. 6, pp. 3878-3885.
[19]. Shubham Tiwari, Bharti Dwivedi, and M.P. Dave (2016). “Advancements in Unit Commitment Strategy”. In Proceedings of IEEE International Conference ICETEESES- 2016, pp. 259-262.
[20]. Shubham Tiwari, Ankit Kumar, G.S. Chaurasia, and G.S. Sirohi, (2013). “Economic Load Dispatch using Particle Swarm Optimization”. IJAIEM, Vol. 2, No. 4, pp 476- 485.
[21]. W.L. Snyder, H.D. Powell, and J.C. Rayburn (1987). “Dynamic Programming approach to Unit Commitment”. IEEE Trans. on Power Systems, Vol. 2, No. 2, pp. 339-351.
[22]. Sriyanyong P. and Song Y.H., (2005). “Unit Commitment using Particle Swarm Optimization combined with Lagrangian relaxation”. In Power Engineering Society General Meeting, Vol. 3, pp. 2752- 2759.
[23]. Wood A.J., and Wollenberg B.F, (2012). Power Generation, Operation and Control. John Wiley & Sons, rd New York, 3 Edition.
[24]. B. Xiaomin, S.M. Shahidehpour, and Y. Erkeng (1996). “Constrained Unit Commitment by using Tabu search algorithm”. In Proc. Int. Conf. on Electrical Engineering, Vol. 2, pp. 1088-1092.
[25]. Yun-Won Jeong, Jong-Bae Park, Se-Hwan Jang, and Kwang Y. Lee, (2010). “A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems”. IEEE Transactions on Power Systems, Vol. 25, No. 3, pp. 1486-95.
[26]. F. Zhuang, and F.D. Galiana (1990). “Unit commitment by simulated annealing”. IEEE Trans. on Power Systems, Vol. 5, No. 1, pp. 311-317.
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