Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5001338 | Electric Power Systems Research | 2016 | 11 Pages |
Abstract
In this paper, the costs and carbon savings in the economic dispatch (ED) problem of the power system operation are optimised. Energy demands and generation are forecast and assimilated using ensemble Kalman filter (EnKF). Optimisation is performed using the ensemble-based closed-loop production optimisation scheme (EnOpt). The real energy parameters of thermal units with green generators (wind farm) are used to test the methodology. The ability of the EnKF to predict, and the robustness of the EnOpt to optimise costs and the resultant carbon emissions are demonstrated. The proposed approach addresses the complexity and diversity of the power system and may be implemented in operational conditions of energy suppliers.
Related Topics
Physical Sciences and Engineering
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Energy Engineering and Power Technology
Authors
E.T. Lau, Q. Yang, G.A. Taylor, A.B. Forbes, P.S. Wright, V.N. Livina,