大规模可再生能源接入与输电网协调规划研究

论文总字数：22733字

摘 要

16012316 华露根

指导老师 陈丽娟

环境恶化和资源短缺的问题一直困扰着人们，因而新能源的开发利用得到了人们的高度重视。本文以风电为代表，重点研究了风电接入系统后，输电网络需要做出的扩展规划，并从初选方案中得到最优的扩展规划方案。首先是建立关于风电场的出力模型，再建立风电场接入系统后与输电网协调规划的数学模型，即相关的目标函数和约束条件，然后用遗传算法来得到初选方案，最后根据相关的电网规划评价指标对得到的初选方案分别评价，并综合情况选出最佳的方案。其中，重点在于遗传算法在输电网规划中的应用，需要将风电场与输电线路进行编码方可使用遗传算法，还需要确定最大的遗传代数和染色体域，通过选择、交叉和变异等操作，保留的优良品种为4。本文主要是以IEEE-6节点的系统为例，通过解相关的目标函数和约束条件得到初选的线路规划方案，最后比较得出最优的方案，即是目标函数中的最优解。在经过一系列的可靠性、安全性和适应性等评价分析，选出该方案为最佳方案。遗传算法事实上是生物学上的，将此方法利用到电网规划上，需要对其进行改进，比如说变异运算时，电网规划中利用时需要成对变异，若单个变异，则破坏了电网系统的稳定性。可再生性能源将会得到大量地利用，输电网规划也必须具体问题具体分析，选择出最优的规划方案。

关键词：出力模型；遗传算法；输电网规划；最优解。

Abstract

Environmental degradation and shortage of resources has been plagued by people, so the development and utilization of new energy sources have got people's attention. In this paper, wind power will represent new energy,considering wind power access system, the transmission network expansion plan needs to be made, and we need to get the optimal expansion plan from the primary program. The first is to establish the model of wind farms,and then build wind farms and grid system model according coordinated planning, that is the objective function and constraints, and then use a genetic algorithm to obtain primary program, according to the relevant final Network planning evaluation of program obtained primaries were evaluated, and the consolidation of select the best solution. Among them, the focus is on Genetic Algorithm in Transmission Network Planning, we need to wind farms and transmission lines may use genetic algorithms to encode, you need to determine the maximum algebraic genetic and chromosomal domains, and so through the selection, crossover and mutation operations, retention the four varieties. This article is based on IEEE-6-node system, by solving the objective function and constraints to obtain route planning primaries, and finally we compare the best solution, that is the optimal solution of the objective function. After a series of reliability, security, and adaptability evaluation and analysis, what we select is the best option. In fact,Genetic Algorithm is a biological method,if we use this method to plan the network, it needs to be improved.for example, mutation operation, the network planning when utilizing variation in pairs, if a single mutation, the destruction of the power system stability. Renewable energy will get a lot of use, the transmission grid planning must specifically ask specific analysis to select the optimal plan.

Key words: Output Model;Genetic Algorithm;Transmission Planning;Optimal solution.

目 录

第一章 绪论 1

1.1课题背景意义 1

1.2研究历史与现状 1

1.2.1输电网规划方法的研究 1

1.2.2含风电场的输电网规划 3

1.3本文主要工作 4

第二章 风电场出力模型 5

2.1风电出力 5

2.2蒙特卡罗法 7

2.3基于蒙特卡罗法的风电有功功率输出概率模型 8

2.4本章小结 9

第三章 遗传算法 10

3.1遗传算法 10

3.2遗传算法在输电网规划中的应用 11

3.3本章小结 12

第四章 风电并网后的潮流计算 14

4.1直流潮流模型 14

4.2两点法估算潮流 14

4.3本章小结 15

第五章 风电场接入电力系统的模型建立 16

5.1一般输电网规划模型的建立 16

5.1.1国内外输电网规划 16

5.1.2输电网规划模型 16

5.2风电场接入对电力系统的影响分析 17

5.3建立风电场接入与输电网协调的规划模型 18

5.4求解风电场接入与输电网协调的模型 19

5.5本章小结 24

第六章 电网规划方案评价 25

6.1电网规划评价指标体系 25

6.1.1单一的经济性评价指标 25

6.1.2多属性多目标的评价体系 25

6.2评价指标体系的应用 26

6.3本章小结 26

第七章 总结与展望 28

致 谢 30

参考文献 31

第一章 绪论

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