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Active distribution network dynamic planning method

A technology of dynamic planning and active distribution network, applied in the direction of AC network circuits, instruments, data processing applications, etc., can solve the problem of not considering the maximization of social benefits

Active Publication Date: 2019-08-13
SHENZHEN POWER SUPPLY BUREAU
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a dynamic planning method for the energy storage system of the active distribution network to solve the problem that the maximization of social benefits is not considered in the prior art

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Embodiment Construction

[0077] The following descriptions of various embodiments refer to the accompanying drawings to illustrate specific embodiments in which the present invention can be implemented.

[0078] Refer to the following figure 1 To illustrate, Embodiment 1 of the present invention provides a method for dynamic planning of an active distribution network, the method includes the following steps:

[0079] S1. Establish a demand-side load power prediction model, a distributed power generation power prediction model, and a charging and discharging model for the energy storage system.

[0080] S2. According to the demand-side load power prediction model, the distributed power generation power prediction model, and the charging and discharging model of the energy storage system, an objective function is established to maximize the comprehensive economic benefits of the society.

[0081] S3. Use the chaotic particle swarm optimization algorithm to plan the energy storage system of the active d...

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Abstract

The invention provides an active distribution network dynamic planning method. The method comprises the following steps: S1, establishing a demand side load power prediction model, a distributed powersupply power prediction model and a charging and discharging model of an energy storage system; S2, establishing an objective function with maximum social comprehensive economic benefits according tothe demand side load power prediction model, the distributed power supply power prediction model and the charging and discharging model of the energy storage system; S3, planning an energy storage system of the active power distribution network by adopting a chaotic particle swarm hierarchical optimization algorithm, and obtaining the optimal position and power of each energy storage system; andS4, obtaining a charging and discharging strategy of each energy storage system according to the optimal position and power of each energy storage system. The economical efficiency, reliability and stability of the power distribution network are comprehensively considered, and the optimization effect of demand side management and energy storage batteries on the active power distribution network isconsidered. And the stability and the reliability of the power distribution network are considered while the maximization of economic benefits of operators is ensured.

Description

technical field [0001] The invention relates to the technical field of active distribution network dynamic planning, in particular to a dynamic planning method for active distribution network. Background technique [0002] With the opening of a new round of power system reform in my country, reforms in terms of power sales and transmission and distribution prices will have a profound impact on power plants, power grids and power users. Various types of distributed power sources such as photovoltaics, wind energy, and hydrogen energy, energy storage systems, demand-side response loads, and flexible loads and other controllable equipment are more and more used in distribution networks. Due to distributed power sources, energy storage systems, and The uncertainty of multiple factors such as demand-side response load makes distribution network planning need to deal with multiple factors, such as the comprehensive utilization of multiple resources, the mutual coordination of mult...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06H02J3/00
CPCG06Q10/06312G06Q50/06H02J3/00H02J3/003H02J2203/20Y04S10/50Y02E40/70
Inventor 焦丰顺邓永生李铎张杰郑悦李宝华张瑞锋董少佳
Owner SHENZHEN POWER SUPPLY BUREAU
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