水库水电站联合优化调度研究

发布时间：2018-01-15 00:29

本文关键词：水库水电站联合优化调度研究　出处：《郑州大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来，世界能源市场的不断调整演变导致全球能源格局发生重大变化，我国能源供需之间的矛盾、能源利用与环境保护之间的矛盾日益突出，同时我国正积极推行节能减排政策，能源结构调整的步伐不断加快，以水能为代表的清洁能源在保障经济社会发展和能源安全供应方面的战略性地位也日趋重要。我国水能资源丰富，作为开发利用水能资源的主要形式，水力发电因其环保经济、运行灵活、技术成熟等优点而在我国非化石洁净能源利用中具有优势地位。“十二五”后，随着大批水库和水电站的建成、运行、规划，我国水电建设进入高速发展期。在此背景下，开展对水库水电站优化运行问题的研究具有较高的实际意义和应用价值。本文首先概述了水库水电站优化运行的国内外研究现状及相关理论，在此基础上提出了将水库和水电站进行联合优化运行的理念，建立了将二者进行耦合的数学模型，并运用差分—遗传混合智能算法进行求解，最后选用陆浑水库电站实例对模型及算法进行分析。本文主要的研究内容总结如下：（1）针对目前水库优化调度与水电站经济运行结果多不相一致的情况，确定将水电站发电引用流量作为耦合连接因子，以此建立水库水电站联合优化运行的耦合模型，即将水库优化调度中各计算时段内的下泄流量在水电站厂内各机组间进行优化分配，由此得到的各机组最优出力之和来作为水库优化调度的计算时段面临效益，从而实现水电站经济运行和水库优化调度间的结合。（2）针对水库水电站耦合问题多约束性和强非线性的特点，本文提出了适用于水库水电站联合优化运行耦合模型求解的差分-遗传混合智能算法，即首先利用差分进行对水库水电站优化运行系统进行时间和空间尺度上的离散，再在水电站经济运行模块中建立遗传算法求解模型，并将其嵌套于水库优化调度模块的差分模型中，由此实现传统算法与优化仿生算法间的有效结合（3）以陆浑水库输水洞水电站为实例，建立水库水电站联合优化调度模型，，并利用差分-遗传混合智能算法进行求解分析。计算结果表明，该耦合模型能较好地反映电站的实际运行状况，模型求解算法有效可靠，能较好地指导电站的生产运营。
[Abstract]:In recent years, the continuous adjustment and evolution of the world energy market has led to major changes in the global energy pattern. The contradiction between energy supply and demand, energy utilization and environmental protection is increasingly prominent in China. At the same time, China is actively implementing the policy of energy conservation and emission reduction, the pace of energy structure adjustment is accelerating. The strategic position of clean energy, represented by water energy, is becoming increasingly important in ensuring economic and social development and energy security supply. China is rich in hydropower resources, as the main form of development and utilization of hydropower resources. Hydropower has advantages in the utilization of non-fossil clean energy in China because of its advantages of environmental protection, economy, flexible operation and mature technology. After the 12th Five-Year Plan, with the completion of a large number of reservoirs and hydropower stations, operation. Planning, hydropower construction in China has entered a period of rapid development. Under this background, it is of high practical significance and application value to carry out the research on optimal operation of reservoir hydropower stations. This paper first summarizes the domestic and foreign research status and related theories of optimal operation of reservoir hydropower stations, and then puts forward the idea of joint optimal operation of reservoirs and hydropower stations. The mathematical model of coupling the two is established and solved by using the Different-Genetics Hybrid Intelligent algorithm (DGMIA). Finally, an example of Luhun Reservoir Power Station is used to analyze the model and algorithm. The main research contents of this paper are summarized as follows: 1) in view of the fact that the optimal operation of the reservoir is not consistent with the economic operation results of the hydropower station, it is determined that the cited flow of power generation of the hydropower station is taken as the coupling connection factor. Based on this, the coupling model of joint optimal operation of reservoir hydropower stations is established, that is to say, the optimal distribution of the lower discharge in each period of time in the optimal operation of the reservoir is carried out among the units in the hydropower plant. Therefore, the sum of the optimal generating force of each unit is faced with benefit as the calculation period of reservoir optimal operation, thus realizing the combination of economic operation of hydropower station and optimal operation of reservoir. 2) in view of the multi-constraint and strong nonlinear characteristics of the coupling problem of reservoir hydropower stations, this paper presents a Different-genetic hybrid intelligent algorithm suitable for solving the coupled model of joint optimal operation of reservoirs and hydropower stations. That is to say, the optimal operation system of reservoir hydropower station is discretized in time and space scale by using difference, and then the genetic algorithm model is established in the economic operation module of hydropower station. It is nested in the differential model of reservoir optimal dispatching module, which realizes the effective combination between the traditional algorithm and the optimization bionic algorithm. Taking Shuidong Hydropower Station of Luhun Reservoir as an example, the joint optimal operation model of the reservoir hydropower station is established, and the solution is analyzed by using the Different-genetic Hybrid Intelligent algorithm. The calculation results show that. The coupling model can well reflect the actual operation of the power plant, and the algorithm for solving the model is effective and reliable, which can guide the operation of the power plant.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TV737;TV697.1

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