Energy storage and information system double-layer collaborative planning method, device and medium

Abstract

The invention provides an energy storage and information system double-layer collaborative planning method, a device and a medium. According to the method, communication importance indexes of communication nodes are distinguished by introducing an analytic hierarchy process weighting mode, a new energy storage installation position is selected on this basis, and a double-layer collaborative planning model of a power distribution network energy storage system and communication network topology for high-permeability distributed power supply and intermittent load acceptance in a power distribution network is constructed. The method specifically comprises a configuration strategy of a new energy storage position and capacity and communication network frame topology optimization; carrying out iterative solution on the upper-layer model and the lower-layer model by adopting an algorithm based on mutual nesting of an improved non-dominated sorting second-generation genetic algorithm and a binary particle swarm optimization algorithm, so as to realize collaborative planning of the physical-layer energy storage system and the information-layer network topology of the power distribution network considering the coupling effect of the information physical system.

Description

technical field [0001] This application relates to the field of active distribution network planning, in particular to a method, device and medium for double-layer collaborative planning of energy storage and information systems. Background technique [0002] At present, planning studies are only carried out for either the physical distribution system or the communication system of the active distribution network. [0003] In traditional distribution network energy storage system (ESS) planning, some scholars aim to minimize the comprehensive annual cost of the planning scheme and minimize the energy loss of the distribution network, and consider the fluctuations in the actual operation of distributed power sources and loads. The improved particle swarm optimization algorithm performs collaborative planning on the energy storage system and intermittent loads, which increases the accuracy of the planning scheme; some scholars consider the random fluctuation of distributed pow...

AI Technical Summary

Problems solved by technology

On the one hand, the current planning and operation schemes mostly focus on improving the reliability and economy of the distribution network, while ignoring the research on maximizing the capacity of the distribution network to accommodate distributed power sources and intermittent loads; on the other hand, Decoupled independent planning research schemes have adverse effects on improving the adaptability of distribution network operations in multiple scenarios and stages

[0006] In addition, most planning studies for communication networks lack the consideration of node heterogeneity

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