Improved quantum-behaved particle swarm optimization algorithm-based multi-region economic dispatch method
A technology of quantum particle swarm and economic scheduling, applied in the field of multi-regional economic scheduling based on improved quantum particle swarm algorithm, can solve the problem of quantum particle swarm algorithm falling into local optimum, and achieve the effect of improving the effect of easily falling into local optimum
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[0052] The present invention proposes a method for solving the economic dispatching problem of multi-area electric power system: Small World Quantum Particle Swarm Algorithm (NWQPSO). The basic quantum particle swarm optimization (QPSO) is to search for the global optimal solution in the feasible solution space. This search method can improve the convergence effect of the algorithm to a certain extent, but this evolutionary method of convergence with probability will make There is a lack of particle diversity. When the algorithm converges to a certain accuracy, it cannot continue to optimize, and then falls into a local optimal solution. Introducing the NW small-world network into the QPSO algorithm enables the small-world quantum particle swarm optimization algorithm to maintain the diversity of the population while improving the shortcomings of the traditional quantum particle swarm optimization algorithm that is easy to fall into local optimum. Using this method can effecti...
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