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New energy consumption measuring and calculating method and system based on hybrid particle swarm optimization

A hybrid particle swarm and new energy technology, applied in computing, wind power generation, instruments, etc., can solve problems such as the optimization of the annual/monthly operation mode of the power grid and the conservative calculation results.

Pending Publication Date: 2022-05-24
ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the modeling method of calculating the new energy consumption capacity with the calculation model of the new energy consumption capacity, the typical daily analysis method cannot reflect the daily new energy output characteristics, load characteristics and the differences of the whole network unit combination within a period of time. Results are often too conservative and cannot be used to guide annual / monthly grid operation optimization

Method used

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  • New energy consumption measuring and calculating method and system based on hybrid particle swarm optimization
  • New energy consumption measuring and calculating method and system based on hybrid particle swarm optimization
  • New energy consumption measuring and calculating method and system based on hybrid particle swarm optimization

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Embodiment 1

[0056] combine figure 2 Shown is a flow chart of a method for measuring new energy consumption based on a hybrid particle swarm algorithm according to some embodiments of the present invention. According to some embodiments of the present invention, a new energy consumption based on a hybrid particle swarm algorithm The calculation method includes the following steps: Step 1, prepare basic data, including new energy data, load data, inter-provincial tie line data and section data; Step 2, build a power grid partition model: according to the blockage of the new energy transmission channel of the power grid, target The power grid is partitioned, and the power grid partition model is built according to the power grid partition situation; the basic data in step 1 is classified, configured in the power grid partition model, and the thermal power and hydropower data in each partition are configured; step 3, grid operation mode maintenance, based on actual In the operation mode of t...

Embodiment 2

[0088] This embodiment is a new energy consumption measurement and calculation system based on a hybrid particle swarm algorithm, which includes:

[0089] Basic data preparation unit: prepare basic data, including new energy data, load data, inter-provincial connection line data and section data;

[0090] Power grid partition unit: partition the target power grid according to the blockage of the new energy transmission channel of the power grid, and build a power grid partition model according to the power grid partition situation; classify the basic data in the basic data preparation unit, configure it in the power grid partition model, and configure Thermal power and hydropower data in each district;

[0091] Power grid operation mode maintenance unit: perform operation mode maintenance, and configure the operation constraints of conventional units in each partition according to the actual grid operation mode of conventional units;

[0092] Data calculation unit: create a c...

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Abstract

The invention discloses a new energy consumption measuring and calculating method and system based on a hybrid particle swarm algorithm. The measuring and calculating method comprises the steps of 1, preparing basic data including new energy data, load data, inter-provincial tie line data and section data; 2, constructing a power grid partition model; step 3, maintaining a power grid operation mode, and configuring operation constraints of conventional units in each partition according to an actual power grid conventional unit operation mode; step 4, creating a case, configuring corresponding calculation data according to case calculation requirements, starting calculation and checking a result; according to the steps, an optimization model containing unit start-stop constraint is established with the maximum new energy generating capacity as an optimization target, and a hybrid particle swarm optimization algorithm is adopted in a new energy consumption calculation method. The hybrid particle swarm algorithm adopted by the invention not only has the advantages of a conventional particle swarm algorithm, but also is faster in the aspect of calculation speed and more accurate in the aspect of calculation results than the conventional particle swarm algorithm.

Description

technical field [0001] The invention relates to the field of measurement and analysis of new energy consumption, in particular to a new energy consumption measurement method and system based on a hybrid particle swarm algorithm. Background technique [0002] With the rapid development of new energy sources such as wind power and photovoltaics in China, under the background of the contradiction between the large-scale integration of new energy into the grid and the difficulty in absorbing new energy in the power grid, it is necessary to continuously improve the level of new energy consumption in the power system and reduce the amount of abandoned wind and photovoltaic power. Significant challenges for scheduling agencies. [0003] At present, the research on the analysis of new energy consumption capacity at home and abroad mainly focuses on the qualitative analysis, and there are few studies on the quantitative calculation method. In the modeling method that uses the new en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q50/06H02J3/38G06F111/06G06F119/02
CPCG06F30/27G06Q50/06H02J3/381G06F2111/06H02J2203/20H02J2300/20H02J2300/24H02J2300/28G06F2119/02Y02E10/76
Inventor 彭琰徐靖雯马骏超张琦王晨旭
Owner ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY