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A Manta Ray Foraging Algorithm Solution for Practical Reactive Power Optimization Problem by Hong-Jiang Wang; Thi-Kien Dao; Van-Dinh Vu; Truong-Giang Ngo; Thi-Xuan-Huong Nguyen; Trong The Nguyen is a book available to read on EtoBox.

What is A Manta Ray Foraging Algorithm Solution for Practical Reactive Power Optimization Problem about?

This paper proposes a solution to the power grid system's reactive power optimization scheduling problem (RPSP) based on a novel manta ray foraging optimization (MRFO) evolutionary algorithm. By applying the penalty function for the reactive power optimization model, the management of the constraints of the RPSP optimization formula is counting on for calculation. The experimental results of the proposed MRFO scheme are contrasted with other approaches for the IEEE-30 bus system, such as particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization algorithm (MFO), and whale optimization algorithm (WOA). Comparative results show that the MRFO algorithm can generate stable, strong convergence, high reliability effectively, and a feasible figuration needed space in solving optimization problems with reactive power optimization.

Author

Hong-Jiang Wang; Thi-Kien Dao; Van-Dinh Vu; Truong-Giang Ngo; Thi-Xuan-Huong Nguyen; Trong The Nguyen

Publisher

Springer Singapore, Imprint: Springer

Published

2021

Language

EN

ISBN

9789811627118

Subjects

Engineering, Computer Science, Science