Dynamic and economical dispatching method of power system based on improved particle swarm optimization

Abstract

The invention relates to a dynamic and economical dispatching method of a power system based on the improved Particle Swarm Optimization (PSO). The method includes: setting various parameters of the PSO; generating an initial particle swarm; setting upper and lower limits for the particle velocity; calculating the fitness value of each particle according to an object function; comparing the fitness value of each particle to find out the historicaloptimum value and the position of each particle, and to find out the particle that has the most optimum value and the position thereof; updating the position and the velocity of each particle; determining whether the position and the velocity of the particles are beyond the limit or not, if the position and the velocity of the particles are beyond the limit, adjusting the position and the velocity of the particles into the constraint range, speeding up the velocity of the particles; and if the iterations frequencies are reached, stopping iteration and obtaining a final result. The method of the invention is improved in solving the dynamic and economical dispatching problem of a power system by using the PSO and adjusts the velocity of the particles by an adaptive algorithm. When searching is limited to local searching, a more targeted way is employed to obtain a good result.

Description

technical field [0001] The invention relates to an economic scheduling method for optimal operation of a power system, in particular to a dynamic economic scheduling method for a power system based on an improved particle swarm algorithm. Background technique [0002] The operation of the unit requires cost, and the operation of the power system needs to consider the economics of operation. Different units have different cost functions, and the economic costs of different output schemes are also different. The purpose of economic dispatch is to optimize the output of each unit within a certain period to obtain the optimal output level and minimize the cost. The output of the unit in the front and rear periods also involves the constraints of the unit’s climbing ability, and the output of the unit in the front and rear periods is closely related, which requires dynamic economic dispatch of the power system. Dynamic economic dispatch of power system is a part of safe and econ...

AI Technical Summary

Problems solved by technology

However, these methods are easy to exceed the limit by tens of millions of particles, and are not very specific to the search area in the later stage of iteration, which is easy to waste tens of millions of iterations.

Images