Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/13438
Title: Optimisation of costs and carbon savings in relation to the economic dispatch problem as associated with power system operation
Authors: Lau, ET
Yang, Q
Taylor, GA
Forbes, AB
Wright, PS
Livina, VN
Keywords: Economic dispatch;Carbon savings;Ensemble optimisation;Ensemble Kalman filter
Issue Date: 2016
Citation: Electric Power Systems Research, 2016, 140 pp. 173 - 183 (11)
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.
URI: http://bura.brunel.ac.uk/handle/2438/13438
DOI: http://dx.doi.org/10.1016/j.epsr.2016.06.025
ISSN: 0378-7796
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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