A Low-Carbon Dispatch Model in a Wind Power Integrated System Considering Wind Speed Forecasting and Energy-Environmental Efficiency

Daojun Chen, Qingwu Gong, Bichang Zou, Xiaohui Zhang and Jian Zhao
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Daojun Chen: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Qingwu Gong: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Bichang Zou: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Xiaohui Zhang: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Jian Zhao: School of Electrical Engineering, Wuhan University, Wuhan 430072, China

Energies, 2012, vol. 5, issue 4, 1-26

Abstract: This paper introduces the “Energy-Environmental Efficiency” concept of building a low-carbon dispatch model of wind-incorporated power systems from the perspective of environmental protection and low-carbon dispatch promotion based on the existing economic environmental dispatch. A rolling auto-regressive and moving-average model is adopted to forecast wind speeds for the next 24 h and reduce the disadvantages brought about to the power system dispatch by wind speed fluctuations. A fuzzy satisfaction-maximizing approach is employed to convert the multi-objective decision-making problem in the low-carbon dispatch model into a single nonlinear one. Particle swarm optimization with a simulated annealing algorithm hybrid is used for better solutions. Simulation results show that the energy-environmental efficiency concept benefits the optimization of the proposed power system dispatch, and the proposed low-carbon dispatch model is reasonable and practical.

Keywords: wind power; wind speed forecasting; low-carbon dispatch model; PSO-SA; energy-environmental efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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