Energy storage station planning method, device and equipment

Abstract

The invention discloses an energy storage station planning method, which considers that the searching capability of a global searching mechanism adopted by a moth fire suppression algorithm is limited so as to easily fall into local optimum, and also considers that a simulated annealing algorithm can enable a target algorithm to jump out of a local optimum solution so as to improve the probability of obtaining a global optimum solution. Therefore, after the position of the flame is updated each time, the position of the flame with the optimal position is updated through the simulated annealing algorithm, so that the optimal locating and sizing scheme of the energy storage station can be found, and a better optimization effect on the load characteristic curve of the power distribution network can be realized with relatively low planning cost. The invention also discloses an energy storage station planning device and equipment, which have the same beneficial effects as the energy storage station planning method.

Description

technical field [0001] The invention relates to the field of energy storage station planning, in particular to an energy storage station planning method, and also relates to an energy storage station planning device and equipment. Background technique [0002] With the rapid growth of electricity load and the increase of the peak-to-valley difference of power grid load, the resource margin of power grid operation is severely limited. The introduction of energy storage stations can play a role in peak-shaving and valley-filling of distribution network and improve equipment utilization. Among them, the difference in site selection and capacity value of the energy storage station will have an impact on the optimization effect of the load characteristic curve of the distribution network and the planning cost of the energy storage station. The existing technology lacks a mature energy storage The station planning method leads to poor accuracy of site selection and capacity determ...

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Problems solved by technology

[0002] With the rapid growth of electricity load and the increase of the peak-to-valley difference of power grid load, the resource margin of power grid operation is severely limited. The introduction of energy storage stations can play a role in peak-shaving and valley-filling of distribution network and improve equipment utilization. Among them, the difference in the location of the energy storage station and the difference in capacity value will have an impact on the optimization effect of the load characteristic curve of the distribution network and the planning cost of the energy storage station. There is a lack of a mature energy storage in the existing technology. The station planning method leads to poor accuracy of site selection and capacity determination of energy storage stations, that is, while the planning cost is high, the load characteristic curve of the distribution network cannot be well optimized

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