Energy scheduling method and system of composite energy storage capacity of quantum particle warm algorithm

Abstract

The invention provides an energy scheduling method and system of composite energy storage capacity of a quantum particle warm algorithm. The method comprises the following steps of solving for a target function and a constraint condition established when performing the energy scheduling of the composite energy storage capacity; initializing particles, and marking a location of the optimal individual in the swarm as a global initial optimal location; for each dimension of the particle I, computing to obtain the location of one random point, and evolving to product a new particle; under an energy scheduling strategy, computing an adaption value meeting the system constraint, namely, a target function value; respectively updating the individual of the particle and the global optimal location; judging whether a termination condition is met or not, if the termination condition is met, outputting a computation result, otherwise, reacquiring the location of one random point for each dimension of the particle I, and repeatedly updating the individual and the global optimal location of the particle. For multiple distributed power supply active power distribution networks containing composite energy storage, a quantum behavior particle swarm optimal algorithm with fast convergence speed and strong global convergence capacity is applied to configuring the capacity of the composite energystorage.

Description

technical field [0001] The present disclosure relates to the field of distribution network technology, and in particular to an energy scheduling method and system for composite energy storage capacity based on quantum particle swarm optimization. Background technique [0002] At present, batteries are generally used as energy storage devices in distribution networks. As energy storage devices, batteries have the characteristics of high energy density and strong storage capacity. application of energy storage technology. As the most widely used power energy storage element at present, supercapacitor has the characteristics of high power density, short charge and discharge cycle, high energy storage efficiency, long cycle life, etc. power fluctuations. [0003] The inventor found in the research that at present, the traditional PSO algorithm is used in the solution of energy scheduling for composite energy storage, and the traditional PSO algorithm has the problem that it ca...

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Problems solved by technology

[0003] The inventor found in the research that at present, the traditional PSO algorithm is used in the solution of energy scheduling for composite energy storage, and the traditional PSO algorithm has the problem that it cannot converge to the global or even local optimal solution, resulting in the final solution The result cannot meet the demand, therefore, it is necessary to make adaptive adjustments to the solution algorithm of the energy scheduling of the composite energy storage

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