计及风电出力优化或电动汽车充电站规划的配电网重构

发布时间：2018-01-03 12:05

本文关键词：计及风电出力优化或电动汽车充电站规划的配电网重构　出处：《华北电力大学》2015年硕士论文　论文类型：学位论文

【摘要】：配电网重构作为提高电力系统灵活性、经济性与可靠性的重要内容,受到越来越的重视。配电网重构的目的是是寻求满足供电可靠性和网络运行约束的一组最优的决策变量,实现经济性、可靠性和停电范围最小。以配电网是否动态重构分类,主要分为静态和动态重构。常见重构优化方法有：改进穷举法、人工智能算法(粒子群算法、禁忌搜索法、遗传算法和免疫算法等)和混合算法等。遗传算法作为智能寻优方法,将自然选择与遗传机制引入到数学原理中,在配电网重构中应用最为广泛,但仍存在易局部收敛、存在不可行解或网架变化后不再适用等问题。本文提出的改进遗传算法基于拓扑分析,能很好地避免不可行解并弥补适应性差的不足。该算法的关键是动态拓扑分析程序的设置和遗传算子的改进。通过拓扑分析,简化网络并寻找所有可行树基,提高重构速度；拓扑分析方法只需提供连接链表,可以适用于任意开环配电网及故障后网络,具有一般适用性和动态性；引入校验遗传算子,将子代种群中的不可行个体转变为可行个体,使得求解过程只在可行解空间进行,避免环网和“孤岛”的出现。为了进一步验证本文所提算法的适用性,本文在配电网供电侧加入双馈风力发电机,在分析其工作机理、数学模型和交替迭代法计算潮流的基础上,研究计及双馈风电机出力优化的配电网重构模型；在用电用户侧加入电动汽车充电站(Electric Vehicle Charging Station, EVCS),建立EVCS规划和配电网重构的协同优化模型并给出算例分析。本文选取IEEE33节点配电网系统,并基于Matlab软件进行仿真,实验结果证明：这种方法建立在动态拓扑分析的基础上,符合配电网运行特点,有效避免不可行解的出现；与同类方法相比,在减小搜索空间、加快计算速度、提高适用性和保证可行性与动态性方面具备优越性。该算法不仅适用于正常运行时的静态重构,也适用于网架结构改变后的动态重构；能很好的适用于包含双馈风机的配电网重构；也能有效解决EVCS规划和配电网重构的整体优化问题。
[Abstract]:Distribution network reconfiguration is an important content to improve the flexibility, economy and reliability of power system. The purpose of distribution network reconfiguration is to find a set of optimal decision variables to meet the power supply reliability and network operation constraints to achieve economic efficiency. The reliability and blackout range are the minimum. The distribution network is divided into static and dynamic reconfiguration. The common reconfiguration optimization methods are: improved exhaustive method, artificial intelligence algorithm (particle swarm optimization). Tabu search method, genetic algorithm and immune algorithm) and hybrid algorithm. As intelligent optimization method, genetic algorithm introduces natural selection and genetic mechanism into mathematical principles, and is most widely used in distribution network reconfiguration. However, there are still some problems such as easy local convergence, infeasible solution or no longer applicable after the change of grid. The improved genetic algorithm proposed in this paper is based on topological analysis. The key of this algorithm is the setting of dynamic topological analysis program and the improvement of genetic operator. Through topology analysis, the network can be simplified and all feasible tree bases can be found. Improving the speed of reconstruction; The topology analysis method only needs to provide the linked list, and it can be applied to any open-loop distribution network and the network after failure, which is of general applicability and dynamic. By introducing the check genetic operator, the infeasible individual in the offspring population is transformed into the feasible individual, so that the solution process is only carried out in the feasible solution space. In order to further verify the applicability of the proposed algorithm, a doubly-fed wind turbine is added to the power supply side of the distribution network, and its working mechanism is analyzed. On the basis of mathematical model and alternating iteration method to calculate power flow, the reconfiguration model of distribution network considering the optimization of output force of doubly-fed air motor is studied. Electric Vehicle Charging Station (EVCSs) is added to the electric vehicle charging station on the power user side. The cooperative optimization model of EVCS planning and distribution network reconfiguration is established and an example is given. In this paper, IEEE33 node distribution network system is selected and simulated based on Matlab software. The experimental results show that this method is based on dynamic topology analysis, accords with the characteristics of distribution network operation, and effectively avoids the emergence of infeasible solutions. Compared with the similar methods, this algorithm has advantages in reducing the search space, speeding up the calculation speed, improving the applicability and ensuring the feasibility and dynamics. This algorithm is not only suitable for static reconstruction in normal operation. It is also suitable for the dynamic reconstruction after the change of the grid structure. It can be applied to the reconfiguration of distribution network including doubly-fed fan. It can also effectively solve the overall optimization problem of EVCS planning and distribution network reconfiguration.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.8;TM727;TM614

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