Energy storage system collocation method and system
An energy storage system and particle swarm algorithm technology, applied in the energy storage system configuration method and system field, can solve problems such as the inability to guarantee the optimal scheduling state of the energy storage system, insufficient performance of the energy storage system, and a single optimal configuration model
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[0058] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0059] refer to figure 1 , which shows a flow chart of an embodiment of an energy storage system configuration method in the present application, which may include the following steps:
[0060] Step S101: Obtain target data.
[0061] In this application, the target data includes annual load data, photovoltaic power generation output data and interruptible load contract data.
[0062] Step S102: Using the mixed integer linear programming method and the particle swarm optimization a...
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