配电网重构及分布式电源优化配置研究

发布时间：2018-07-03 09:03

本文选题：分布式电源 + 静态网络重构　；参考：《浙江大学》2015年硕士论文

【摘要】：分布式电源(distriuted generation, DG)接入配电网将改变配电网的结构和运行方式,并影响原有的潮流分布、网损及节点电压等。配电网重构通过改变开关开合状态以调整网架结构,可以有效降低网络损耗和提高电压质量。因此,利用配电网网架结构灵活可变的特点对并网分布式电源的位置和容量进行有效规划具有一定的理论和现实意义。本文针对配电网网络重构(包括静态重构和动态重构)和DG优化配置这两点进行研究,主要研究点总结如下： (1)针对和声搜索算法的基音调整在求解配电网重构问题时的盲目性,提出基于启发式规则的基音调整策略,避免盲目的基音调整。对33节点系统进行仿真,结果表明改进后算法的收敛性和寻优速度都得到改善。 (2)针对配电网动态重构研究中难以确定最佳重构时刻和各时刻对应的最佳网架结构,提出了配电网动态重构的二步优化法。初步优化利用最优模糊C均值聚类技术对研究时间区间内的负荷数据进行聚类,从而将动态重构问题转为以聚类中心为代表负荷的多个静态重构子问题,并采用改进和声搜索算法求解各静态重构问题；再次优化引进效益评估函数,以最小收益阀值判断是否执行初步优化中相邻分段之间的开关操作。对33节点系统进行仿真,结果表明该方法能够在严格限制开关操作次数的基础上得到较优解。 (3)针对负荷功率和间歇性DG出力的不确定性和波动性,建立了计及配电网动态重构的DG二层优化配置模型。上层模型优化DG在配电网中的接入位置和接入容量；下层模型基于上层,模拟含DG的配电网动态重构过程,优化各时段的网架结构和可控DG出力。根据上下层中各优化变量的特点,选择和声搜索算法和改进和声搜索算法进行求解。对33节点系统进行仿真,结果表明优化配置过程中计及配电网动态重构时能够增强配电网对DG的消纳能力,虽然DG配置容量的上升加大了设备投资成本和运行维护成本,但却降低了系统的购电成本和排废成本以及进一步改善了系统的电压质量。
[Abstract]:(distriuted generation, DG) access to the distribution network will change the distribution network structure and operation mode, and affect the original power flow distribution, network loss and node voltage. Distribution network reconfiguration can reduce the network loss and improve the voltage quality by changing the switching state to adjust the grid structure. Therefore, it is of theoretical and practical significance to make use of the flexible and variable structure of distribution network to effectively plan the position and capacity of grid-connected distributed generation. In this paper, the reconfiguration of distribution network (including static reconfiguration and dynamic reconfiguration) and DG optimal configuration are studied. The main research points are summarized as follows: (1) aiming at the blindness of pitch adjustment of harmonic search algorithm in solving the problem of distribution network reconfiguration, a pitch adjustment strategy based on heuristic rules is proposed to avoid blind pitch adjustment. The simulation results of 33-bus system show that the convergence and optimization speed of the improved algorithm are improved. (2) in the study of dynamic reconfiguration of distribution network, it is difficult to determine the optimal reconfiguration time and the optimal grid structure corresponding to each time. A two-step optimization method for dynamic reconfiguration of distribution network is proposed. The optimal fuzzy C-means clustering technique is used to cluster the load data in the study time interval, so that the dynamic reconstruction problem can be transformed into several static reconstruction sub-problems with clustering center as the representative load. The improved harmonic search algorithm is used to solve the static reconstruction problems, and the benefit evaluation function is introduced again, and the minimum benefit threshold is used to determine whether or not the switching operation between adjacent segments in the initial optimization is carried out. The simulation results of the 33-bus system show that the proposed method can obtain a better solution on the basis of strictly limiting the number of switching operations. (3) for the uncertainty and volatility of load power and intermittent DG output, A DG layer 2 optimal configuration model considering dynamic reconfiguration of distribution network is established. The upper layer model optimizes the access position and access capacity of DG in the distribution network, and the lower layer model simulates the dynamic reconfiguration process of distribution network with DG based on the upper layer, and optimizes the network structure and controllable DG output of each period of time. According to the characteristics of each optimization variable in the upper and lower layers, the harmonic search algorithm and the improved harmonic search algorithm are selected to solve the problem. The simulation results of 33-bus system show that the dynamic reconfiguration of distribution network can enhance the ability of DG absorption in the optimal configuration process, although the increase of DG configuration capacity increases the cost of equipment investment and operation and maintenance. However, the cost of power purchase and waste removal is reduced and the voltage quality of the system is further improved.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM727

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