Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm

• Main Authors: Li, Yuan Zheng, Wu, Q. H., Wang, Ping, Gooi, Hoay Beng, Li, K. C., Liu, Y. Q., Jiang, L., Lu, P., Cao, M., Imura, J.
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Power system dispatch; Wind power
• Online Access: https://hdl.handle.net/10356/84994; http://hdl.handle.net/10220/42069
• Institution: Nanyang Technological University

The decision support model of mean-lower semi-absolute deviation (MLSAD) and the optimization algorithm of group search optimizer with intraspecific competition and lévy 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.