隶属函数与欧氏距离相结合的配电网优化重构研究

发布时间：2018-03-08 05:08

本文选题：静态重构　切入点：动态重构　出处：《太原理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着化石能源的快速消耗及气候环境的不断恶化,新能源接入电网的规模不断增大。由于分布式电源的出力具有随机性及间歇性,会对系统稳定运行产生影响,因此,研究能够保证系统安全及可靠运行的配电网重构是十分必要的。本文基于系统经济性、可靠性及安全性,从静态和动态两方面进行配电网多目标优化重构。论文主要研究内容如下:(1)根据图论相关理论分析配电网拓扑校验方法,并对系统进行分层处理,实现不同类型分布式电源接入系统时分层前推回代求解潮流。以14节点系统为例进行分析和介绍,验证该潮流计算方法能够实现同层次电压和电流的并行计算,计算效率明显提高。(2)基于模糊数学隶属函数和空间欧氏距离,提出配电网多目标静态重构方法,以降低网络有功损耗、提高线路功率传输裕度、减少节点电压偏移为目标,确定配网最优重构方案。首先,基于隶属函数研究系统运行特性的满意度,并与欧氏距离相结合确定系统的模糊满足度,简化复杂的多目标优化问题。其次,采用改进开关状态更新和自适应惯性权重相结合的粒子群算法,分析满足约束条件、目标函数达到综合最优的重构结果。最后,通过IEEE33节点系统及太原城区10kV配电网,验证所提方法在提高系统静态稳定性方面的有效性及实用性。(3)以多目标静态重构方法为基础,提出配电网多目标动态重构评估方法,以降低开关频繁操作和提高系统运行经济性为目标,确定配网最优动态重构方案。首先,针对负荷随时间连续变化的特性,使用BP神经网络法预测日负荷;其次,评估网损减小所节省的费用FP是否大于开关操作费用Fk,并以此为约束条件判断重构经济效益,动态逐次划分重构时间区间并搜索各子区间内满足多目标最优的网络拓扑。最后,通过含分布式电源的IEEE33节点系统,对比等时间间隔枚举法重构结果,验证所提方法可有效避免频繁的开关操作并提高系统运行经济性,重构后系统各方面性能均得到较大的提升,优化结果更加均衡。(4)依据静态重构和动态重构的基本理论,开发一套配电网优化重构可视化软件,方便快捷的实现重构中各子程序的所有运算功能。
[Abstract]:With the fast consumption of fossil energy and the deterioration of climate environment, the scale of new energy connecting to the power grid is increasing. Because the distributed power generation is random and intermittent, it will affect the stable operation of the system. It is necessary to study the reconfiguration of distribution network which can guarantee the safe and reliable operation of the system. The main contents of this paper are as follows: (1) based on the graph theory, the topology verification method of distribution network is analyzed, and the system is layered. In order to realize different types of distributed power supply access systems, the parallel calculation of voltage and current at the same level can be realized by using the power flow calculation method, which is analyzed and introduced by taking the 14-bus system as an example, and it is proved that the proposed method can realize the parallel calculation of voltage and current at the same level. Based on fuzzy mathematical membership function and spatial Euclidean distance, a multi-objective static reconstruction method for distribution network is proposed, which aims at reducing network active power loss, increasing transmission margin of transmission line power and reducing node voltage offset. The optimal reconfiguration scheme of distribution network is determined. Firstly, based on the membership function, the satisfaction degree of the system is studied, and the fuzzy satisfaction degree of the system is determined by combining with Euclidean distance to simplify the complex multi-objective optimization problem. Particle swarm optimization (PSO) algorithm, which combines improved switch state update and adaptive inertia weight, is used to analyze the reconfiguration results which satisfy the constraint conditions and the objective function is optimized. Finally, through the IEEE33 node system and the 10 kV distribution network in Taiyuan City, To verify the effectiveness and practicability of the proposed method in improving the static stability of the system, a multi-objective dynamic reconfiguration evaluation method is proposed based on the multi-objective static reconfiguration method. In order to reduce the frequent switching operation and improve the operating economy of the system, the optimal dynamic reconfiguration scheme of distribution network is determined. Firstly, the BP neural network method is used to predict the daily load according to the continuous change of load with time. This paper assesses whether the cost saved by network loss reduction is greater than the switching operation cost FK, and uses it as a constraint condition to judge the economic benefit of the reconstruction, dynamically divide the reconstruction time interval one by one and search the network topology which satisfies the multi-objective optimal condition in each sub-interval. Finally, By comparing the reconstruction results of the IEEE33 node system with distributed power supply with equal time interval enumeration method, it is verified that the proposed method can effectively avoid frequent switching operations and improve the operating economy of the system. After reconfiguration, the performance of the system is greatly improved, and the optimization results are more balanced. 4) based on the basic theory of static and dynamic reconfiguration, a set of visualization software for optimal reconfiguration of distribution network is developed. It is convenient and fast to realize all the operation functions of each subroutine in the reconfiguration.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM711

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