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农村配电网能量管理系统
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摘要
电能传输是发电方向用电方传输电能的过程,依靠电能传输过程电器设备才会拥有赖以工作的有功功率。然而在电能传输中,有功功率与无功功率是密切相关的,传输有功必然引起无功消耗,传输无功也必引起有功损耗。无功功率消耗过大就会导致大量有功功损,还会增加电压偏移,使用电设备的实际电压偏离正常工作的电压。所以无功优化软件在配电自动化中占有重要地位。在计算机技术和通信技术飞速发展的今天,对配电网运行数据准确、实时的采集成为可能,实时性必然成为对农村配电网控制系统新的要求。本文针对农村配电网的特点,以实时采集的电网运行数据为计算数据的来源,对这些分散数据进行分析,得到配电网接线结构;并实现配电网实时线损计算;;在优化问题中本文提出了以考虑电能损耗、无功补偿投资、有载调压变压器调节费用的年运行费用最小的综合目标函数,求解采用改进遗传算法,产生规模与控制变量相关联的初始种群,运用自适应的操作算子,并应用灵敏度分析的方法到无功优化方法中,在计算中大大降低了无功配置的搜索空间;在进行配电网无功优化时,潮流计算是验证各代染色体的工具,其计算速度和收敛性将直接影响无功优化的效果,通过对配网潮流计算算法进行研究,本文采用了前推回代法求解潮流分布,该算法有求解效率高、计算速度快、稳定性好的特点另外本文采用三次样条法进行插值计算,实现各节点无功功率曲线绘制。本文采用Visual C++6.0开发平台,实现了良好的人机界面以及与数据库的动态连接。
The power transmission is from generate electricity system to user it makes the electrical appliance work possible. In the power transmission system reactive capacity and active power is closely related to each other transe the active power the reactive would be waste and transe the reactive power the active power would be waste either. If wasteing a mount of reactive capacity it shoud be coursing lots of power loss and higher voltage excursion at the same time so optimizing reactive capacity play an important role. The computer technology and communicaton technology improving at high speed it is possible gathering the nicety real-time data of the distribution network real-time must be the new request to the control-system of distribution network. This paper aims at the characteristic of rural network bases on the real-time data analsys these decentralized data gains the connection configuration of the distribution network; and counts real-time power loss; flow calculation is base and tool of reactive power optimizeing its counting speed and astringency effect the result of optimization straight through studying the arithmetic of distribution network flow calculation this paper uses a compensation-based power flow alternate iterating algorithm which has higher efficiency higher speed better stability; the object is to minimize the power loss and compensation cost in a year this paper does power system reactive optimization compensation with genetic algorithm bring the original seed which size is associated with the control variable and applying sensitivity analysis in order to decrease the searching space of GA; this paper uses the thrice sample to protract the curve of reactive capacity in addition. The software of power system in the research has been developed by VC++6. 0 with a favorable man-computer interface system and realizing dynamic database link.
引文
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