基于协调优化算法的有源配电网经济调度策略研究

发布时间：2018-01-01 15:10

本文关键词：基于协调优化算法的有源配电网经济调度策略研究　出处：《南京邮电大学》2016年硕士论文　论文类型：学位论文

【摘要】：由于能源危机的日益严重以及大力推动构建环境友好型社会,可再生能源技术得到快速发展。其中,风力发电及光伏发电等可再生能源发电技术得到广泛应用,在环境效益等方面体现出独特优势,但同时也存在诸如接入成本高、控制技术不足,对主网产生消极影响等缺点,为此,微电网技术应运而生。微电网将各可再生能源集中管理,构成一个相对大电网友好的可控单元,充分发挥各微电源优势的同时也能保证不会对电网的安全稳定产生影响。微电网并网运行,配电网成为有源系统,对与微电网的能量交换进行合理调度可以起到节能降损,提高配电网电能质量的积极作用。一方面,微电网中微电源的经济调度是微电网调度技术的一个重点,如何消除风电出力及光伏出力以及负荷等不确定因素对微电网安全稳定运行产生的隐患,本文对此进行了研究。另一方面,并网模式下微电网与配电网之间的协调优化方面的研究还比较缺乏,有源配电网与微电网之间如何实现互利共赢,本文对此进行了试探性研究。对于微电网经济调度问题,提出一种集中-分布式双层能量优化算法,算法基于改进粒子群算法实现。分别建立集中层及分布式层优化模型,集中层以预测数据进行日前调度,采用集中优化方式。分布式层基于实时数据,用于化解各不确定因素带来的影响,采用分布式优化的方式,运用图论的思想将计算任务分配至各参与调度的节点,快速化解波动。通过对一个中压基准微电网系统进行双层优化仿真调度,验证了该算法的能快速收敛,有效得到最优解。对于配电网与微电网的协调优化调度,提出了一种分解协调优化算法。首先构建配电网及微电网的协调优化模型,并对协调参数进行设计。配电网基于改进粒子群算法及二进制粒子群算法,以网损最小为目标进行重构及注入功率优化。微电网依然以成本最小为目标。算法通过传递协调参数,协调两个优化目标。用两个算例对算法进行验证,首先通过对IEEE33节点配电网系统进行仿真,验证配电网的重构及注入功率双重优化算法的有效性,然后对由中压基准配电网系统与IEEE33节点系统构成的整体系统进行协调优化仿真,验证分解协调优化算法,结果显示协调优化可以同时降低配电网网损及微电网的发电成本。
[Abstract]:Renewable energy technology has been developing rapidly due to the increasingly serious energy crisis and vigorously promoting the construction of an environment-friendly society. Among them, renewable energy generation technologies such as wind power generation and photovoltaic power generation have been widely used. In the aspect of environmental benefit, there are some disadvantages, such as high access cost, insufficient control technology, negative influence on the main network and so on. Microgrid technology emerged as the times require. Microgrid will be centralized management of renewable energy resources, constitute a relatively large power grid friendly controllable unit. While giving full play to the advantages of the micro-power supply, it can also ensure that the security and stability of the grid will not be affected. The distribution network will become an active system when the micro-grid is connected to the grid. Reasonable dispatch of energy exchange with microgrid can play an active role in reducing energy loss and improving power quality of distribution network. On the one hand, economic dispatch of micro-power supply in micro-grid is one of the emphases of micro-grid dispatching technology. How to eliminate the uncertain factors such as wind power output, photovoltaic output and load on the safe and stable operation of microgrid, this paper studies this. On the other hand. The research on coordination and optimization between microgrid and distribution network in grid-connected mode is still lacking, and how to achieve mutual benefit and win-win between active distribution network and micro-grid. This paper makes a tentative study on this. For the economic dispatch problem of microgrid, a centralized and distributed bilevel energy optimization algorithm is proposed. The algorithm is implemented based on improved particle swarm optimization algorithm. The optimization models of centralized layer and distributed layer are established respectively. The centralized layer is used to schedule the prediction data before the day, and the centralized optimization method is adopted. The distributed layer is based on real-time data. In order to resolve the influence of uncertain factors, the distributed optimization method is used to distribute the computing tasks to the nodes involved in the scheduling by using the idea of graph theory. Through the double-layer simulation and scheduling of a medium voltage reference microgrid system, it is verified that the algorithm can converge quickly and get the optimal solution effectively. For the coordination of distribution network and microgrid, the optimal dispatching is obtained. A decomposition and coordination optimization algorithm is proposed. Firstly, the coordination optimization model of distribution network and microgrid is constructed, and the coordination parameters are designed. The distribution network is based on improved particle swarm optimization algorithm and binary particle swarm optimization algorithm. The minimum loss is taken as the goal to reconstruct and optimize the injection power. The micro-grid still takes the minimum cost as the target. The algorithm coordinates the two optimization objectives through the transfer of coordination parameters. Two examples are used to verify the algorithm. First, the simulation of IEEE33 node distribution network system is carried out to verify the effectiveness of the dual optimization algorithm of distribution network reconfiguration and injection power. Then the overall system composed of medium voltage benchmark distribution network system and IEEE33 node system is simulated to verify the decomposition coordination optimization algorithm. The results show that coordinated optimization can reduce the generation cost of distribution network loss and microgrid simultaneously.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

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