Tough power distribution network planning method and system considering energy storage configuration under extreme natural disasters

A technology for distribution network planning and natural disasters, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as neglecting time, and achieve the effect of reducing investment costs and improving capabilities

Active Publication Date: 2019-12-13
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
View PDF1 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing DAD models take the minimum load loss as the objective function, ignoring the consideration of time, and cannot be used to reflect the characteristics of limited energy storage capacity.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tough power distribution network planning method and system considering energy storage configuration under extreme natural disasters
  • Tough power distribution network planning method and system considering energy storage configuration under extreme natural disasters
  • Tough power distribution network planning method and system considering energy storage configuration under extreme natural disasters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] figure 1 It is a schematic flow diagram of a resilient distribution network planning method considering energy storage configuration under extreme natural disasters in an embodiment of the present invention, as shown in figure 1 As shown, this embodiment provides a resilient distribution network planning method considering energy storage configuration under extreme natural disasters, including the following steps:

[0041] Step 101: According to the resilience concept curve of the distribution network, the resilience evaluation index described by the integral of the weighted load loss and the time axis of the distribution network under extreme natural disasters is introduced into the resilient distribution network planning model, and the annual distribution network is calculated. Combined lost load cost.

[0042] Step 102: According to the time characteristics and space characteristics of extreme natural disasters, comprehensively consider the whole process of the dist...

Embodiment 2

[0175] Figure 5 It is a schematic diagram of a resilient distribution network planning method considering energy storage configuration under extreme natural disasters in an embodiment of the present invention, as shown in Figure 5 As shown, the method includes the following steps:

[0176] Step 1: According to the resilience concept curve of the distribution network, the resilience evaluation method described by the integral of the weighted load loss and the time axis of the distribution network under extreme natural disasters is introduced into the resilient distribution network planning model, and then the distribution network’s annual Combined lost load cost.

[0177] Step 2: According to the time and space characteristics of extreme natural disasters, considering the whole process of distribution network from disaster attack to fault recovery, a multi-stage distribution line fault state set is established.

[0178] Step 3: For the island operation capability of energy ...

Embodiment 3

[0197] Figure 13 It is a schematic structural diagram of a resilient distribution network planning system that considers energy storage configurations under extreme natural disasters in an embodiment of the present invention, as shown in Figure 13 As shown, a resilient distribution network planning system considering energy storage configuration under extreme natural disasters provided by this embodiment includes:

[0198] The annual comprehensive loss of load cost calculation module 100 is used to introduce the resilience evaluation index described by the integral of the weighted load loss and time axis of the distribution network under extreme natural disasters into the resilient distribution network planning model according to the distribution network resilience concept curve , to calculate the annual comprehensive loss of load cost of the distribution network.

[0199] The multi-stage distribution line fault state set building module 200 is used to establish a multi-sta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a tough power distribution network planning method and system considering energy storage configuration under extreme natural disasters, and relates to the technical field of tough power distribution network planning. The method comprises the steps of considering a toughness concept curve of a power distribution network and calculating annual comprehensive loss-of-load costof the power distribution network; according to a time characteristic and a space characteristic of the extreme natural disasters, considering a whole process from a disaster attack to fault recoveryof the power distribution network, and establishing a multi-stage power distribution line fault state set; considering an investment planning constraint set, a multi-stage power distribution line fault state set and a system operation constraint set, and establishing a power distribution network DAD planning model by taking minimums of annual investment cost of line reinforcement, the annual investment cost of energy storage configuration and the annual comprehensive loss-of-load cost as target functions; and solving by adopting a column and constraint generation algorithm to obtain a coordination scheme of line reinforcement and energy storage configuration under the extreme natural disasters. By adopting the method or the system of the invention, a disaster response capability of the tough power distribution network can be improved, and the investment cost is reduced.

Description

technical field [0001] The present invention relates to the technical field of resilient distribution network planning, in particular to a resilient distribution network planning method and system that considers energy storage configuration under extreme natural disasters. Background technique [0002] In recent years, extreme natural disasters such as typhoons have occurred frequently, causing serious damage to the power system. The traditional power grid N-1 criterion is difficult to deal with multiple failures caused by extreme natural disasters, so the concept of resilience is introduced into the power grid. Specifically in the distribution network, resilience is used to evaluate the ability of the distribution network to reduce the loss caused by faults and restore the normal power supply state as soon as possible under extreme natural disasters. [0003] At present, the research on resilience of distribution network mainly focuses on two aspects: resilience assessment...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00
Inventor 张海波马伸铜林勇
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products