naa a22 4500 51073152X CHVBK 20180411082954.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11708-013-0259-5 doi (NATIONALLICENCE)springer-10.1007/s11708-013-0259-5 Unit commitment using dynamic programming-an exhaustive working of both classical and stochastic approach [Elektronische Daten] [Balasubramaniyan Saravanan, Surbhi Sikri, K. Swarup, D. Kothari] In the present electricity market, where renewable energy power plants have been included in the power systems, there is a lot of unpredictability in the demand and generation. There are many conventional and evolutionary programming techniques used for solving the unit commitment (UC) problem. Dynamic programming (DP) is a conventional algorithm used to solve the deterministic problem. In this paper DP is used to solve the stochastic model of UC problem. The stochastic modeling for load and generation side has been formulated using an approximate state decision approach. The programs were developed in a MATLAB environment and were extensively tested for a four-unit eight-hour system. The results obtained from these techniques were validated with the available literature and outcome was good. The commitment is in such a way that the total cost is minimal. The novelty of this paper lies in the fact that DP is used for solving the stochastic UC problem. Higher Education Press and Springer-Verlag Berlin Heidelberg, 2013 unit commitment (UC) nationallicence deterministic nationallicence stochastic nationallicence dynamic programming (DP) nationallicence optimization nationallicence state diagram nationallicence Saravanan Balasubramaniyan School of Electrical Engineering, VIT University, 632014, Vellore, India aut Sikri Surbhi School of Electrical Engineering, VIT University, 632014, Vellore, India aut Swarup K. Department of Electrical Science, IIT Madras, 600036, Chennai, India aut Kothari D. JB Group of Institutions, 500075, Hyderabad, India aut Frontiers in Energy Springer Berlin Heidelberg 7/3(2013-09-01), 333-341 2095-1701 7:3<333 2013 7 11708 https://doi.org/10.1007/s11708-013-0259-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11708-013-0259-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Saravanan Balasubramaniyan School of Electrical Engineering, VIT University, 632014, Vellore, India aut NATIONALLICENCE 700 1- Sikri Surbhi School of Electrical Engineering, VIT University, 632014, Vellore, India aut NATIONALLICENCE 700 1- Swarup K. Department of Electrical Science, IIT Madras, 600036, Chennai, India aut NATIONALLICENCE 700 1- Kothari D. JB Group of Institutions, 500075, Hyderabad, India aut NATIONALLICENCE 773 0- Frontiers in Energy Springer Berlin Heidelberg 7/3(2013-09-01), 333-341 2095-1701 7:3<333 2013 7 11708 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer