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Large-scale wind power base power influx system topology composition layered optimization design and optimization design method thereof

A technology for large-scale wind power bases and power collection systems, applied in the field of power grid planning, can solve the problems of chromosome gene duplication, premature convergence, and low optimization efficiency.

Active Publication Date: 2016-04-20
STATE GRID QINGHAI ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The former method is mainly to establish a mathematical model of the power collection system, and then use an intelligent optimization algorithm to solve it. However, these methods often only consider the economic conditions of the entire power collection system, and do not involve the reliability of the topology of the entire power collection system. The optimization algorithm used is mainly genetic algorithm, but the traditional genetic algorithm is based on parental reproduction, which will cause duplication and deletion of chromosomal genes when solving combinatorial optimization problems; to solve this problem, some scholars began to use parthenogenetic algorithm, However, the simple single-parent genetic algorithm has the problems of low optimization efficiency and premature convergence.

Method used

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  • Large-scale wind power base power influx system topology composition layered optimization design and optimization design method thereof
  • Large-scale wind power base power influx system topology composition layered optimization design and optimization design method thereof
  • Large-scale wind power base power influx system topology composition layered optimization design and optimization design method thereof

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Embodiment 1

[0067] Such as figure 1 Shown: Input parameter 1 is connected to generate initial population 2, initial population 2 is connected to calculation of each individual fitness 3, calculation of each individual fitness 3 is connected to grouping genetic operation 4, grouping genetic operation 4 is connected to termination condition judgment 5 , if the iteration termination condition is met, then the termination condition judgment 5 is connected with the obtained optimal topology 6; otherwise, jump to calculate the fitness of each individual 3, and obtain the optimal topology 6 and the economic optimization index 7 and the reliability evaluation index respectively 8 connections, economic optimization index 7 and reliability evaluation index 8 are connected to the optimal topology 9 of the converging system.

[0068] Such as image 3 Shown: The location distribution of wind turbines and substations inside a wind farm under a 110kV collection station. The installed capacity of the w...

Embodiment 2

[0088] Such as figure 2 Shown: the distribution of a large-scale wind power base, which includes a 750kV transmission channel, three 330kV collection stations, each 330kV collection station contains five 110kV collection stations, and each collection station has a wind farm capacity of 100MW. The 110kV collection station in each area is connected to the 330kV collection station; the three 330kV collection stations are connected to the 750kV outgoing channel.

[0089] right figure 2 The specific implementation steps for the topological structure optimization design of the wind power base area 1 shown are as follows:

[0090] 1) Input the coordinates of collection stations with different voltage levels, set the maximum number of iterations iter to 300, the population size N to 64, the number of sub-populations M to 8, the initial temperature of the simulated annealing algorithm T = 300, and the temperature decay rate k to 0.95.

[0091] 2) Collecting system investment cost C...

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Abstract

The invention discloses a large-scale wind power base power influx system topology composition layered optimization design and an optimization design method thereof; the optimization design comprises two aspects: topology composition optimization design between the large-scale wind power base wind power plant and influx station and different voltage level influx stations; topology composition optimization design between internal wind power generators of the large-scale wind power base wind power plant and between the wind power generator and a transformer station; the optimization design method comprises the following steps: using an improved monolepsis algorithm to obtain an economic index Ctotal; using a Monte Carlo method to obtain a reliable index R; using min(OBJ)=[delta] 1Ctotal+[delta]2R as an evaluation rule to determine the power influx system topology composition according to the economic index and the reliable index, wherein the OBJ is the topology composition evaluation index, the Ctotal is the economic index, and the R is the reliable index.

Description

technical field [0001] The invention relates to a hierarchical optimization design of a topological structure of a power collection system of a large-scale wind power base and an optimization design method thereof, and belongs to the technical field of power grid planning. Background technique [0002] With the extensive development and utilization of wind resources and the development of wind power generation technology, large-scale centralized development has become the main form of wind power generation. Due to the limitation of wind resources and load distribution conditions, the current wind power base is far away from the load center, and large-scale wind power cannot be accommodated locally. Therefore, the wind farms in large wind power bases need to be collected internally and boosted to different voltage levels. Incorporate into the public grid, and then transported to the load center for consumption. The large-scale wind power base includes a large number of wind ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06N3/12
CPCG06N3/126G16Z99/00Y02E40/70Y04S10/50
Inventor 苗淼张祥成田旭靳宝宝彭飞郭京兆李兴源陈云超王曦黄睿王超
Owner STATE GRID QINGHAI ELECTRIC POWER