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

An information system and energy storage technology, applied in the direction of genetic rules, complex mathematical operations, calculation models, etc., can solve the adverse effects of distribution network operation adaptability, ignore the research of distributed power supply and intermittent load acceptance capacity, lack of nodes Heterogeneity and other issues to achieve the effect of ensuring reliability and economy, minimizing node imbalance, and improving operational adaptability

Pending Publication Date: 2021-11-30
RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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

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Embodiment 1

[0063] The embodiment of this application provides a two-layer collaborative planning method for energy storage and information systems, including:

[0064] Construct a two-layer collaborative planning model including an upper model and a lower model, in which the upper model is used to optimize the new installation location and capacity of the physical layer distribution network energy storage system, and the objective function of the upper model is the total economic cost f 1 Minimum, unbalanced degree of communication grid f 2 Minimum and generalized information transfer speed f 3 Maximum, the lower model is used to optimize the configuration strategy of the information layer communication grid topology, and the objective function of the lower model is the communication grid imbalance degree f 2 Maximum and generalized information transfer speed f 3 maximum;

[0065] Among them, the total economic cost f 1 The formula is as follows:

[0066]

[0067]

[0068] ...

Embodiment 2

[0108] refer to figure 2 As shown, the embodiment of the present application is a device for double-layer collaborative planning of energy storage and information systems, including: a processing unit, a storage unit, an input unit, a display unit, and a bus unit, and the bus unit is connected to the processing unit, the The storage unit, the input unit and the display unit, the storage unit stores instructions and operands, and the processing unit executes instructions and processes operands to implement the two-layer collaborative planning method for energy storage and information systems.

Embodiment 3

[0110] An embodiment of the present application provides a storage medium for implementing a two-layer collaborative planning method for an energy storage and information system, wherein the storage medium for implementing a two-layer collaborative planning method for an energy storage and information system stores at least one instruction, and reads and executes the instruction The two-layer collaborative planning method of energy storage and information system is realized.

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/12G06N3/00G06F17/16
CPCG06Q10/06312G06Q10/06313G06Q50/06G06N3/006G06N3/126G06F17/16
Inventor 梁荣鉴庆之赵龙郑志杰杨波杨扬李昭綦陆杰崔灿王耀雷王延朔张雯刘钊赵韧刘淑莉李勃朱毅赵宜贤杨慎全李凯邓少治张博颐李昊
Owner RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER
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