分布式电源接入配网选址定容方法研究

发布时间：2018-06-14 09:47

本文选题：分布式电源 + 选址定容　；参考：《中国矿业大学》2017年硕士论文

【摘要】：近年来,电力逐渐成为了新一轮能源革命的核心力量,分布式电源(Distributed Generation,DG)因其特有的技术优势正受到越来越多的关注。DG接入会对传统配电网的潮流、网损、节点电压及可靠性等方面产生一定的影响,如何合理选择DG的并网位置和容量使配电网更加可靠经济地运行成为目前急需解决的问题。基于此,本文主要进行了在配电网中合理选择DG的接入位置和容量的相关研究。首先,分析了DG并网对配电网规划、网损、电压等方面的影响,明确了合理选择DG并网位置及容量对配电网安全稳定运行的重要性。接着,对含DG的配电网潮流计算进行了研究。将不同类型的DG抽象为可用于潮流计算的数学模型,并对其相应的节点类型进行归纳,分析了潮流计算时各节点类型的处理方法。采用IEEE-33节点系统作为仿真系统,对使用前推回代法进行含DG的配电网潮流计算的正确性进行验证。在DG选址定容问题上,将DG分为功率随机型DG和功率可控型DG,分别建立了风机、光伏和燃料电池的功率输出模型。以网损改善率指标及电压稳定度指标为主要依据对节点进行评估,并结合配电网实际情况等相关因素,对DG的待安装位置进行选择;以配电网购电年费用及DG综合年费用之和最小为目标函数,建立了DG选址定容的优化模型。研究了基本粒子群算法,并对其学习因子及权重进行改进,采用经典函数对改进粒子群算法的正确性进行了验证。最后,以IEEE-33节点配电系统为例,采用改进粒子群算法对风电、光伏、燃料电池三种DG的接入方案进行求解。将接入DG后的配电网从经济性、电压稳定性以及网损方面与接入DG前的配电网进行比较,可以发现合理接入DG可以给配电网带来更好的经济效益和运行可靠性。
[Abstract]:In recent years, electric power has gradually become the core force of a new round of energy revolution. Distributed Generation (DG) is receiving more and more attention because of its unique technical advantages..DG access will have a certain influence on the power flow of traditional distribution network, network loss, node voltage and reliability, and how to choose the DG grid in a reasonable way. Position and capacity make the distribution network more reliable and economical to be solved. Based on this, this paper mainly carries out the related research on the access position and capacity of DG in distribution network. First, it analyzes the influence of DG grid on distribution network planning, network loss, voltage and so on, and makes clear the rational selection of DG grid position. And the importance of capacity to the safe and stable operation of distribution network. Then, the power flow calculation of distribution network containing DG is studied. Different types of DG are abstracted as a mathematical model which can be used for power flow calculation, and the corresponding node types are summarized, and the processing methods of each node type in the calculation of power flow are analyzed. The IEEE-33 node system is used as a method. For the simulation system, the correctness of the power flow calculation of the distribution network containing DG is verified by using the pre push back generation method. On the DG location and capacity problem, the DG is divided into power random DG and power controlled DG, and the power output model of fan, photovoltaic and fuel cell is set up respectively. The index of loss improvement rate and voltage stability index are the main factors. According to the evaluation of the nodes, and the actual situation of distribution network and other related factors, the location of the DG is selected. The optimization model of the location and capacity of the DG location is established based on the annual cost of distribution network purchase and the minimum sum of the annual cost of DG. The basic particle swarm optimization algorithm is studied, and its learning factors and weights are improved. The correctness of the improved particle swarm optimization is verified by the classical function. Finally, taking the IEEE-33 node distribution system as an example, the improved particle swarm optimization (PSO) algorithm is used to solve the three DG access schemes of wind power, photovoltaic and fuel cells. The distribution network after the access to DG is distributed from the aspects of economy, voltage stability and network loss and the distribution of power distribution before the access to DG. Comparing the network, we can find that reasonable access to DG can bring better economic and operational reliability to the distribution network.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM715

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