APPLICATION OF DECOMPOSITION COORDINATION METHOD OF LARGE - SCALE SYSTEMS AND METHOD OF NONLINEAR PROGRAMMING TO ECONOMIC SCHEDULING OF POWER SYSTEM

In this paper,we discuss a mathematical mode) for optimization of active power dispatch of large-scale hydro-thermal power systems with cascaded hydropower stations. The following factors are taken into account: the variation of the head in the hydropower stations, water transport delay between cascaded stations etc. Using the decomposition-coordination method of large scale systems, we obtain a three-layer-hierarchical coordination system and a three-layer-hierarchical computational structure. We also discuss the computational methods which are used by each hierarchy. We have taken a test computation and analysing the result of an actual hydrothermal power system. The computational results show that it may obtain a satisfactory economic benefit. The paper provides some research work on the economic scheduling of hydrothermal power systems by the decomposition-coordination method of large-scale systems,multiplier method and a new variable metric method.     

基于CROPWAT模型对不同典型年冬小麦灌溉制度的研究

利用1951—2010年的气象数据,采用CROPWAT模型对枯水、平水、丰水3个典型降水年冬小麦的灌溉制度进行研究。结果表明,3个不同的典型降水年充分灌溉净灌溉定额分别为353.3、342、296.2mm,灌水次数依次为8、7和6次;4次关键水条件下净灌溉定额分别为229.1、222.2、212.3mm。     

河套灌区灌溉制度研究

根据河套灌区的气象、土壤、灌水等资料,利用ISAREG模型模拟了4种主要作物充分灌溉和非充分灌溉2种灌溉制度方案。根据模型的优化模拟结果分析,在作物产量比率仅略有下降的情况下,作物实施非充分灌溉将减少灌水次数和灌溉定额(平均下降45 mm),建议灌区把作物实施非充分灌溉作为一种节水措施之一。     

太行山山前平原夏玉米优化灌溉制度研究

5年田间试验研究不同气候年型下灌水次数、灌溉时间对夏玉米生育、产量和水分利用效率的影响结果表明 ,随生育期总耗水量的增加 ,夏玉米产量逐步提高 ,当耗水量增至一定程度时产量反而递减 ;而水分利用效率随耗水量的增加呈逐步递减趋势。并确定了夏玉米最优耗水量 ,建立了不同降水年型下夏玉米优化灌溉制度。     

基于改进多父辈遗传算法的农机调度优化方法

农机装备跨区作业存在作业任务重、转移范围大、作业时效性强等问题,传统的农机调度缺乏科学合理的调配方案.该研究开展了基于改进遗传算法的多机协同作业任务调度方法研究.首先对多块农田需连续进行多种生产任务的问题进行分析,建立在农机数量、转移距离、作业准备时间及作业时间等约束条件下的时间窗农机作业调度模型;然后以最小化作业时间...     

Farmers' irrigation practices in a high rainfall area

Recent droughts in the humid southeastern United States have focused attention on the need for and use of supplemental irrigation. Total annual rainfall amounts are sufficient for most crops in the region. However, erratic distribution of rainfall and the low water-holding capacities of most soils in the region cause frequent drought stresses in many crops. An on-farm study was conducted in southeastern Alabama to evaluate the effects of farmers' irrigation scheduling decisions on soil moisture variations in peanut fields irrigated with center-pivot irrigation systems. The study showed that the way irrigation was practiced in this high rainfall area often caused soil moisture deficit (SMD) level higher than the desired SMD limit during over 20% of the 140-day growing season. This is partially due to farmers' tendency to delay irrigation in anticipation of rainfall which may or may not occur, as rainfall during the growing season is often erratic and local. In contrast SMD in non-irrigated fields was higher than the SMD limit for half of the growing season.Abbreviations SMD soil moisture deficit - ET evapotranspiration - R_eff effective rainfall - WHC water holding capacity     

Prediction of daily reference evapotranspiration by a multiple regression method based on weather forecast data

Prediction of daily reference evapotranspiration (ET ₀) is the basis of real-time irrigation scheduling. A multiple regression method for ET ₀ prediction based on its seasonal variation pattern and public weather forecast data was presented for application in East China. The forecasted maximum temperature (T _max), minimum temperature (T _min) and weather condition index (WCI) were adopted to calculate the correction coefficient by multilinear regression under five time-division regimes (10 days, monthly, seasonal, semi-annual and annual). The multiple regression method was tested for its feasibility for ET ₀ prediction using forecasted weather data as the input, and the monthly regime was selected as the most suitable. Average absolute error (AAE) and root mean square error (RMSE) were 0.395 and 0.522 mm d^?1, respectively. ET ₀ prediction errors increased linearly with the increase in temperature prediction error. A temperature error within 3 K is likely to result in acceptable ET ₀ predictions, with AAE and average absolute relative error (AARE) <0.142 mm d^?1 and 5.8%, respectively. However, one rank error in WCI results in a much larger error in ET ₀ prediction due to the high sensitivity of the correction coefficient to WCI and the large relative error in WCI caused by one rank deviation. Improving the accuracy of weather forecasts, especially for WCI prediction, is helpful in obtaining better estimations of ET ₀ based on public weather data.     

基于森林空间收获问题的模拟退火算法邻域搜索技术比较

邻域搜索是当前提高启发式算法求解效率的核心技术之一,然而近期关于该搜索策略的性能却产生了较大争议。模拟退火算法作为一种典型的启发式算法,已广泛应用于一系列的林业规划问题。为此,本研究以模拟退火算法为例,系统评估2种不同邻域搜索技术在森林空间收获安排问题中的应用效果。规划模型以50年规划周期(10个规划分期)内的最大化木材收获为目标函数,以蓄积均衡收获、蓄积期末存量、单位限制模型和绿量限制等为主要约束条件。测试方法以模拟退火算法为原型,以每次优化过程中随机选择的小班数量为标准,共包括1-邻域和2-邻域2种不同的搜索技术。模拟规划数据由3个假设的栅格数据集组成,其共产生了3293个(林分Ⅰ)、29536个(林分Ⅱ)和81625个(林分Ⅲ)0-1型决策变量。研究结果表明:模拟退火算法2-邻域搜索技术能够提高各规划问题的最大目标函数值;但当规划问题的决策变量数(或小班数量)较大时(即林分数量≥3600),单纯增加邻域范围并不能提高规划问题的平均目标函数值。因此,鉴于模拟退火算法的优化结果对规划问题具有较高的敏感性,因此森林经营决策人员应慎重选择模拟退火算法邻域搜索作为相关规划问题的优化求解技术。      

海子水库灌区节水型灌溉制度的制定

本文介绍了中日双方专家团在海子水库灌区现场调查中,实测土壤水分特征值的方法,土壤水分曲线的制定和应用,负压计观测值的应用,计算节水型灌溉用水量和灌水间隔日数的方法,并用节水型频繁灌溉法制定了各作物的节水型灌溉制度,用这种方法制定的节水型灌溉制度要比我国过去用的常规法节水40%以上。     

云计算数据中心节能调度算法改进研究

针对传统方法对云计算数据中心调度时能耗过高,虚拟机迁移次数过多等问题,本文提出一种新的云计算数据中心节能调度算法.采用面向实时任务的云计算数据中心节能调度算法,保证云数据中心任务完成率;为了进一步降低云数据中心的能耗,构建云计算数据中心功耗模型,分析云数据中心SLA协议违约率和虚拟机迁移功耗对数据中心的能耗影响,采用基于能耗感知的虚拟机节能调度算法合理安置和迁移虚拟机,使虚拟机安装在物理机后无任何负载较低节点,实现云计算数据中心的节能调度.模拟实验结果表明,本文算法与对比算法相比,大幅度降低了云计算数据中心的能耗,且虚拟机迁移次数少,可有效降低虚拟机多次迁移带来的额外支出,是一种有效的云数据中心节能调度算法.