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Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm
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DOI：10.1016/j.knosys.2016.10.028.png)
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Abstract
En 中文
The decision support model of mean-lower semi-absolute deviation (MLSAD) and the optimization algorithm of group search optimizer with intraspecific competition and levy walk (GSOICLW) are presented to solve Wind-thermal power system dispatch. MLSAD model takes the profit and downside risk into account simultaneously brought by uncertain wind power. Using a risk tolerance parameter, the model can be converted to a single-optimization problem, which is solved by an improved optimization algorithm, GSOICLW. Afterwards, both the model and the algorithm are tested on a modified IEEE 30-bus power system. Simulation results demonstrate that the MLSAD model can well solve wind-thermal power system dispatch. The study also verifies GSOICLW obtains better convergent dispatching solutions, in comparison with other evolutionary algorithms, such as group search optimizer and particle swarm optimizer. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Power system dispatch
Wind power
Profit
Downside risk
Optimization algorithm
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