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2013年 第7卷 第3期

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《能源前沿（英文）》 >> 2013年 第7卷 第3期 doi: 10.1007/s11708-013-0259-5

Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

1. School of Electrical Engineering, VIT University, Vellore 632014, India; 2. Department of Electrical Science, IIT Madras, Chennai 600036, India; 3. JB Group of Institutions, Hyderabad, 500075, India

发布日期： 2013-09-05
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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.

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