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Line capacity optimization method and system for renewable energy consumption

A technology of renewable energy and capacity optimization, applied in the direction of system integration technology, design optimization/simulation, information technology support system, etc., can solve problems such as not considering the dynamic ampacity of lines

Pending Publication Date: 2021-03-02
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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Problems solved by technology

There are also literatures on the NSGA multi-objective optimization method, which uses cascaded overload indicators to optimize the system safety indicators related to overload online, and evaluates the optimal solution of the transmission line to obtain the risk value when overload occurs. However, the dynamic amperage of the line is not considered. capacity

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  • Line capacity optimization method and system for renewable energy consumption
  • Line capacity optimization method and system for renewable energy consumption
  • Line capacity optimization method and system for renewable energy consumption

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] The purpose of the present invention is to provide a line capacity optimization method and system for renewable energy consumption, which considers the uncertainty of the dynamic ampacity of the transmission line, and maximizes the capacity when the risk is minimized

[0052] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunct...

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Abstract

The invention discloses a line capacity optimization method and system for renewable energy consumption. The method comprises the following steps: constructing a transmission line overload risk assessment model and a transmission line dynamic ampere capacity optimization model according to basic data of a transmission line corresponding to a power market; determining constraint conditions of the transmission line overload risk assessment model and the transmission line dynamic ampere capacity optimization model; and calculating optimal solutions of the transmission line overload risk assessment model and the transmission line dynamic ampere capacity optimization model under the constraint condition, and determining the maximum capacity of the transmission line under the minimum risk. Uncertainty of the dynamic ampere capacity is described in an uncertainty set form, the overload risk of the transmission line is used as an evaluation index, the admissible area of the dynamic ampere capacity is optimized, and the maximum capacity can be realized under the minimum risk.

Description

technical field [0001] The invention relates to the field of transmission line ampere capacity, in particular to a line capacity optimization method and system for renewable energy consumption. Background technique [0002] With the large-scale connection of wind, light and other renewable energy power generation to the power grid, the uncertainty of transmission lines in my country's power system is increasing day by day. The safe operation of overhead transmission lines is inextricably linked to the ambient temperature. The amperage capacity of the transmission line used in the dispatching of the power grid is calculated based on the extremely conservative static environmental parameters that do not change with time and the maximum operating temperature. current flow. Specifically, the environmental parameters stipulated in my country's regulations on static carrying capacity are: temperature 40 degrees Celsius, wind speed 0.5m / s, light intensity 1000MW / m 2 . Generally ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F30/20
CPCG06Q10/04G06Q10/0635G06Q50/06G06F30/20G06F2111/04Y04S10/50Y02E40/70
Inventor 丁肇豪余开媛贺元康刘瑞丰王进
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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