Journal Article

Formulation and application of quantum-inspired tidal firefly technique for multiple-objective mixed cost-effective emission dispatch

Bodha, Kapil Deo, Yadav, Vinod Kumar, Mukherjee, Vivekananda

2020

Overview

In this manuscript, a new quantum computing-based optimization algorithm is proposed to solve multiple-objective mixed cost-effective emission dispatch (MEED) problem of electrical power system. The MEED problem aims at maintaining proper balance between emission of pollutants and generation of power. The problem has been formulated here using cubic equation to reduce the nonlinearities of the system. It is transformed to single-objective problem by considering max to max penalty factor. The proposed optimization technique is inspired by the concept of quantum mechanics, gravitational force and firefly algorithm (FA) and is termed as quantum-inspired tidal FA (QITFA). The proposed QITFA is tested on IEEE 14-bus and IEEE 30-bus test system for four different load conditions. The obtained results are compared with the results yielded by some other state-of-the-art methods like Lagrangian relaxation method, particle swarm optimization (PSO), simulated annealing, quantum-behaved bat algorithm and quantum PSO. This paper proves the superiority of the proposed QITFA over all these methods. Further, the obtained results also suggest its effective and efficient implementation in MEED problem.

• Publisher: Springer London,Springer Nature B.V
• Subject: Algorithms / Artificial Intelligence / Computational Biology/Bioinformatics / Computational Science and Engineering / Computer Science / Cubic equations / Data Mining and Knowledge Discovery / Electric power systems / Emissions / Heuristic methods / Image Processing and Computer Vision / Optimization techniques / Original Article / Particle swarm optimization / Power dispatch / Probability and Statistics in Computer Science / Quantum computing / Quantum mechanics / Relaxation method (mathematics) / Simulated annealing