基于动态振动区条件下水电机组负荷分配策略研究

发布时间：2018-04-11 01:18

本文选题：水电 + 振动区　；参考：《华北电力大学》2017年硕士论文

【摘要】：近年来,随着电力行业的大力发展,水电资源也不断被利用开发,人们越来越重视水电机组的安全稳定运行。振动是影响水电机组稳定的首要因素,由于水电机组在某段负荷区域出力时,机组振动变得尤为剧烈,所以机组需要避开振动区运行,然而当前水电机组的振动区范围偏大,且不随水头发生变化,本文针对此问题展开深入研究,提出一种建立振动区的新方法,采用连续小波变换对水电机组的振动信号进行分析,对变换得到的灰度图进行处理,计算其“灰度矩”值,用来定量表征振动信号的强弱,并结合云南澜沧江下游某电站的大量稳定性试验数据,建立不同水头下的动态振动区,并给出全厂联合振动区的计算方法和步骤。此外,在关注安全性问题同时,也要兼备考虑经济性问题,水电站厂内经济运行一直也是一个热门的研究课题,本文在基本粒子群算法的基础上,提出一种改进的粒子群算法对厂内负荷进行经济分配,对传统的粒子群算法,加入“交叉”操作,这样不仅维持了种群的多样性,而且克服了传统粒子群算法的过早收敛,避免粒子过早地陷入局部最优,另外采用基于动态惯性权重策略的改进技术使得粒子能够跳出局部最优解。最后结合本文第三章内容,在建立的动态振动区基础上,对水电站的机组实现厂内负荷的最优分配,并与基本粒子群算法进行比较,分析了算法的有效性。
[Abstract]:In recent years, with the vigorous development of the electric power industry has been the development and utilization of hydropower resources, people pay more and more attention to the safe and stable operation of hydropower generating unit. The vibration is the main factor influencing the stability of hydropower units, the hydropower unit in a regional power load, unit vibration becomes more and more intense, so the unit to avoid vibration operation however, the current hydropower unit vibration range is too large, and not with the water hair change, in-depth research in this paper, a new method is proposed to establish the vibration area, were analyzed using the continuous wavelet transform of vibration signals of hydroelectric generating units for processing grayscale transformation, calculation of the "gray moment value, used to quantitatively characterize the vibration signal strength and stability, combined with a large number of test data of Lancang River downstream of Yunnan hydropower station, the establishment of dynamic vibration zone under different head, The calculation method and steps are given the combined vibration area. In addition, at the same time in the safety of the attention, both must consider the economic issues, the operation of hydropower has become a hot research topic in this paper based on the basic particle swarm algorithm, this paper proposes an improved particle swarm optimization algorithm for economic dispatch the plant load, the traditional particle swarm algorithm, adding "cross" operation, not only to maintain the population diversity, and to overcome the premature convergence of the traditional particle swarm algorithm, avoid particle prematurely into local optimum, the improved technology of dynamic inertia weight strategy makes the particle can jump out of local optimal solution based on. Finally, in the third chapter, on the basis of establishment of dynamic vibration area, hydropower plant to achieve the optimal allocation of unit load, and with the basic particle swarm algorithm Comparison is made to analyze the effectiveness of the algorithm.

【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TV734;TP18

【参考文献】