A HIERARCHICAL CONTROL METHOD FOR REACTIVE POWER OPTIMIZATION IN LARGE-SCALED INTERCONNECTED POWER SYSTEMS

This paper presents a new hierarchical and coordinative control method for reactive power optimization in large-scale interconnected power systems. It combines the interconnection forecast method for hierarchical control in large-scale steady state industrial systems with the incremental linear programming method for reactive power optimization in real time. The results of applying the method to power system examples show that the method not only solves the problem of high dimension in order, but also keeps the advantages of the incremental linear programming method. The proposed method is also suitable for the security analysis of reactive power correction in large-scale interconnected power systems.     

The Probabilistic Production Simulation for the Joint Dispatch of Multi Area Interconnected Power System

In this paper,a probabilistic production simulation for the joint dispatch of multi area interconnected power system is presented.The method evaluates the expected unserved energy of the joint dispatch system and further the other basic simulation indices,based on the probability density function of the unit available capacity and the multi area demand supply feasibility conditions,and the detail is showed by a four areas case.     

Parameter uncertainty analysis for probability distribution of bulk power systerm reliability

Component reliability parameters are of uncertainty and are affected by the component type, operation time, and weather conditions. So do the reliability indices of bulk power systems. The calculation of its probability distributions and its alteration law affected by parameters uncertainty are researched to provide practical engineering reference with exploring the impact of the parameter uncertainty on reliability assessment. The point estimate method is firstly proposed based on the two-loop Monte-Carlo simulation, and then the improved Monte-Carlo simulation is presented to enhance the calculation efficiency further. Moreover, their theories, merits and faults are explained in detail. It can be seen from the evaluation results for the RBTS power systems that the accuracy of the three methods are similar but the improved Monte-Carlo simulation has the highest efficiency, followed by the point estimate method. The IEEE-RTS 79 power system is evaluated by using the improved Monte-Carlo simulation, and the results verify its validity.     

Parsimonious Covering Probability Model for Turbogenerator Vibration Faulty Diagnosis

The turbogenerator vibration faults have the character of variety. Many faults often occur synchronously. This paper introduces a diagnosing model based on parsimonious covering theory and probability. A model for turtogenerator's fault diagnosis is proposed. The availability of this method is proved by two fault diagnosis examples of turbogenerator. The results show that the model proposed can be used for multi_fault diagnosis together. It may make up shortage for some of expert systems and neural networks in some aspect. From the practice,this model has higher reliability and practicability.     

EQUIVALENT-UNIT METHOD OF SHORT-TERM RELIABILITY EVALUATION FOR INTERCONNECTED POWER SYSTEMS

This paper presents the concept of equivalent-unit and the solution method of state probabilities for short-term reliability evaluation for generation systems. The ideas and methods are applied to evaluate short-term reliability of intercommected power systems,and the models of equivalent assistance,which can be conveniently combined with subsystem models,are propesed. The models and algorithm proposed not only solve the difficult problem of "state explosion" , but also improve the calculating accuracy. A numerical example is given to show that the models and algorithm are feasible and effective.     

Beyond “Global Production Networks”: Australian Fashion Week's Trans‐Sectoral Synergies

ABSTRACT When studies of industrial organisation are informed by commodity chain, actor network, or global production network theories and focus on tracing commodity flows, social networks, or a combination of the two, they can easily overlook the less routine trans‐sectoral associations that are crucial to the creation and realisation of value. This paper shifts attention to identifying the sites at which diverse specialisations meet to concentrate and amplify mutually reinforcing circuits of value. These valorisation processes are demonstrated in the case of Australian Fashion Week, an event in which multiple interests converge to synchronize different expressions of fashion ideas, actively construct fashion markets and enhance the value of a diverse range of fashionable commodities. Conceptualising these interconnected industries as components of a trans‐sectoral fashion complex has implications for understanding regional development, world cities, production location, and the manner in which production systems “touch down” in different places.     

The Research of Landslide Hazards Assessment System

Landslides caused substantial damage to property,which is seriously hampering social development.With the use of geographic information systems(Arcview),a risk assessment system is established in the paper.The failure probability of 3D-slope is calculated using the Monte Carlo method.The risk of life and economic losses were also calculated by the risk assessment system.By a case study,the results of the risk of life and economic losses may be crucial foundations for administrant branch.     

双季青贮玉米模式物质生产及资源利用效率研究

随着畜牧业产品需求不断增加,“节粮型”草食牲畜的高效舍饲畜牧业已向农区转移。为建立与农区畜牧业发展相适应的资源高效利用的新型饲料生产技术体系,2004—2005年在热量资源限制的两熟北缘区北京地区进行了双季青贮玉米周年高产的技术探索,对双季青贮玉米与冬小麦-夏玉米和单季春玉米不同模式的物质积累量和生育过程的光、温、水资源的实际利用效率进行系统测定分析。结果表明,双季青贮地膜玉米-玉米模式优于传统模式冬小麦-夏玉米,其全年干物质生产率提高10.3%,能量提高12%,总辐射利用效率提高12.5%,热量资源生产效率提高22.5%,水分生产效率增加36.3%。与单季春玉米模式相比,在干物质生产率、能量、总辐射利用效率、光能生产效率上更具有明显优势。由此可见,通过利用全年两季C₄玉米的高光效,早春覆膜栽培以及两季品种有效配置,不但可以充分利用两熟区的自然资源,而且为该区畜牧发展提供了一条新型的高产高效种植模式。     

A SFG METHOD FOR RELIABILITY EVALUATION OF HVDC SYSTEMS

Steady-state probability, frequency and duration are the three main indices in reliability evaluation of the HVDC systems. Generally, they are solved by numerical methods. Their topolgical formulaes are derived by using the basic theory of ccates graph and considering conditions for some particularity of state-space in this paper. A set of generalised formulaes can be applied to obtain these indices expression about reliability parameters of components. Finally,an example is given to illustrate and verify this method.     

Increasing genetic diversity by participatory varietal selection in high potential production systems in Nepal and India

On-farm varietal biodiversity was studied through household surveys in two high potential production systems in Chitwan and Nawalparasi districts of the Nepal Terai and in Lunawada sub-district, Gujarat, India. Diversity was extremely low in Chaite rice in the Nepal study area (weighted diversity 0.04) and low in main season rice in the India study area (weighted diversity 0.34). In both areas, one cultivar dominated, CH 45 in Nepal and GR11 in India. In the India study area, biodiversity varied with the socio-economic group and better-off farmers had a greater varietal diversity. Participatory varietal selection (PVS) identified new varieties that farmers preferred. Their adoption by farmers increased on-farm varietal biodiversity within the three cropping seasons studied. Despite the commonly assumed uniformity of high potential production systems, the new varieties occupied specific niches in the farming system. Farmers' preferences for different varieties – there were large differences in quality traits and maturity period among the new varieties – should help to maintain biodiversity. Overall production is expected to increase as each niche becomes occupied increasingly by the best-adapted variety. PVS is a simple and powerful method of increasing food production in the high potential production systems that produce most of the developing world's grain. This revised version was published online in August 2006 with corrections to the Cover Date.     

Variance component estimations and allocation of resources for breeding sweetpotato under East African conditions

In Africa, average sweetpotato storage root yields are low and breeding is considered to be an important factor in increasing production. The objectives of this study were to obtain variance component estimations for sweetpotato in this region of the world and then use these to determine the efficiency of variety trials and breeding systems. From an incomplete series of variety trials in Kenya and Uganda (comprising 15 genotypes, three locations, two crop durations and three seasons) variance components were estimated ‐ using the REML method ‐ for the following traits: storage root yield, biomass production, harvest index, storage root dry matter and the Elston index which was used to aggregate all four traits. The storage root yield of clones across all 12 environments ranged from 15.2 to 33.0 t/ha. The variance components were significant for all traits, except the genotype by season interactions for storage root dry matter. The efficiency of selection systems was determined for total test capacities of 450 and 900 plots and using not more than five locations. Two‐stage selection was 17‐81% more efficient than one‐stage selection after two seasons of testing. Two‐stage selection was optimized under the restriction of using at least two locations at step 1. Trials with two locations and one replication at step 1 and five locations and two replications at step 2 were appropriate both for selecting for storage root yield and for simultaneously selecting for storage root yield, biomass production, harvest index and storage root dry matter content by using the Elston index. There are indications that such an allocation of resources for breeding sweetpotato is also appropriate for other regions in Sub‐Saharan Africa.     

Agroecological principles for the redesign of integrated crop–livestock systems

Combining crops and livestock within integrated crop–livestock systems (ICLS) represents an opportunity to improve the sustainability of farming systems. The objective of this paper is to analyse how agroecological principles can help farmers to redesign and improve the resilience, self-sufficiency, productivity, and efficiency of ICLS. Relying on case studies from Brazil and France, we examine how the transformation of two conventional, specialised systems into more integrated-production systems illustrates the different dynamics towards agroecological ICLS. The French case study, based on self-sufficient farming systems belonging to a sustainable agriculture network, highlights that cost-cutting management led to a win–win strategy comprising good economic and environmental performances. The farms decreased their dependence on external inputs and had only a limited loss of production. The past trajectories of the farms illustrate how increasing the interactions between subsystems improved the self-sufficiency and efficiency of the farms. The Brazilian case study compares slash-and-burn agriculture in the Amazonian region with the recovery of degraded grazing area by ICLS. A small increase in chemical inputs linked to a diversification of productions led to a large increase in production and a large decrease in environmental impacts (deforestation). The Brazilian case study also illustrates how the diversification of production increased the resilience of the system to market shocks. Reconstructing the links among soil, crops, and animals following agroecological principles could improve the different performances of ICLS. New agroecological ICLS, benefiting from diversified productions and increased interactions between subsystems, are likely to offset the trade-off between agricultural production and environmental impacts observed in current ICLS.     

Probability Algorism for Attributes Reduction in Incomplete Information System

Attributes reduction based on rough set theory is an important but difficult task under incomplete information system. For the attributes reduction which is gained by the old attributes reduction algorisms , the attribute belongs to it or not . Nevertheless in the practice when there is the probability that the attribute can discern two objects , this shows the attribute may belong to the attribute reduction. Probability discernibility matrix is defined and corresponding discernibility function is given. Then a probability algorism for attributes reduction is proposed and an example shows the algorism is effective. The probability that the attribute belong to the reduction can be know from the reduction which is gained by the algorism.     

黄淮海平原南部不同种植体系周年气候资源分配与利用特征研究

探明不同种植体系周年产量、气候资源分配及其利用效率特征,建立周年气候资源优化配置的定量指标,为进一步提升黄淮海区域周年产量潜力和资源利用效率提供理论依据。本研究利用2011—2015年河南新乡定位试验数据,定量分析了冬小麦–夏玉米、冬小麦–夏大豆、双季玉米和一季春玉米4个种植体系产量、生物量、干物质产能、光温资源分配及其利用效率。结果表明,冬小麦–夏玉米和双季玉米体系4年产量、生物量和干物质产能差异均不显著,但显著高于冬小麦–夏大豆和一季春玉米体系,平均增幅分别为45.4%～61.5%、37.3%～71.3%和35.7%～70.7%;双季玉米和一季春玉米体系周年辐射生产效率、籽粒及总生物量光能利用效率均显著高于冬小麦–夏玉米和冬小麦–夏大豆体系,其中周年辐射生产效率平均增幅为11.8%～66.7%,籽粒及总生物量光能利用效率分别提高0.13～0.42和0.18～0.69百分点。进一步分析周年气候资源分配特征,冬小麦–夏玉米体系两季积温分配率分别为45.6%和54.4%,积温比值为0.8,双季玉米两季积温分配率为51.4%和48.6%,积温比值为1.1。综合分析产量和资源利用效率,冬小麦–夏玉米和双季玉米种植体系可作为黄淮海区种植模式优化布局和农业生产可持续发展的重要支撑,而明确主要种植体系积温分配率和积温比值等定量指标可为进一步优化周年气候资源配置,挖掘黄淮海两熟区周年产量潜力和资源利用效率提供重要参考。     

油菜野芥NSa细胞质雄性不育系的特异性分子鉴定

常规细胞质类型鉴定方法花费时间长、工作量大、鉴定效率低、应用性较差。基于基因组重复序列的PCR技术(rep-PCR)在重复序列丰富的线粒体和原核生物的基因组鉴定中效果较好, 本研究对8份油菜资源的细胞质进行分子鉴定,结果表明rep-PCR可以明确区分甘蓝型油菜中常见的6种雄性不育细胞质。同时对甘蓝型油菜和野芥(Sinapis arvensis)体细胞杂交创建的、育性较为稳定的NSa野芥雄性不育胞质进行了分子特异性鉴定,获得了两条NSa不育胞质的特征DNA条带。但波里马和萝卜质不育细胞质的特异性引物在NSa中不能扩增出特异性片段,说明NSa不属于这两种细胞质类型。本研究结果为该不育胞质系统的利用和知识产权保护提供了理论依据和技术支撑。     

一种基于似然极大的动态聚类方法及其应用

将传统的动态聚类分析和判别分析相结合,引出一种基于似然极大的动态聚类方法,该方法以EM算法实现的极大似然估计进行类参数估计,以相应的贝叶斯后验概率判别个体的归类。模拟研究表明,该方法通常既可无偏估计类参数,又可判别最佳分类个数。与重心法动态聚类和最小组内平方和法动态聚类相比,稳健性较高。同时通过提高判别标准,可以降低误判率。用Fisher的Iris试验数据验证了方法的可行性,并将之成功应用于一个水稻F₂群体的个体的主基因基因型鉴别。     

Participatory varietal selection in rice in Nepal in favourable agricultural environments – A comparison of two methods assessed by varietal adoption

Two participatory approaches to varietal selection were compared in February-sown (Chaite) rice and main-season rice in high potential production systems in Nepal. One method, called farmer managed participatory research (FAMPAR), was researcher intensive, while the other, called informal research and development (IRD), demanded fewer resources. The trials were conducted in 18 villages in high potential production systems in Chitwan and Nawalparasi districts of Nepal. Six new varieties of Chaite rice and 16 of main-season rice were tested in over 300 trials of Chaite rice and nearly 1100 trials of main-season rice over two years in 1997 and 1998. Surveys were done in 1997, 1998 and 1999 to record the extent of adoption and spread of the new rice varieties in the study villages. In many cases, farmers tested varieties for two years before deciding whether to adopt or drop them. Varieties were quite widely accepted, adopted for niches in a few villages, or rejected. The two participatory approaches identified the same varieties, but FAMPAR, which used formal survey methods, was more useful for diagnosing reasons for adoption or rejection. However, IRD used much cheaper anecdotal methods of evaluation, so it was more cost-effective. Moreover,farmer-to-farmer seed dissemination was higher in IRD villages, probably because farmers in FAMPAR villages felt that the project would re-supply seed if needed. The benefits from both approaches are considerable, but to adopt them substantial policy changes in varietal testing, release and extension systems will be required. This revised version was published online in August 2006 with corrections to the Cover Date.     

Distributed Power Flow Method Based on Ward Equivalent

With interconnecting and developing of power system, the problem of power flow computation on dispersed data resource need to be solved. A new distributed computation method of power flow based on Ward equivalent is presented. According to master-slaver splitting principle, multi-area interconnected power system is divided into master-slaver areas. Boundary buses in different areas are defined as different bus-types. Neighborhood areas are equivalent by Ward equivalent principle, and the equivalent injection power and equivalent impedance are worked out. Power flows from master area to slaver areas are solved by Newton method, and the equivalent injection power and equivalent impedance on the boundary are modified by their solutions. The process above repeats until to convergence. The proposed distributed power flow method takes full advantage of the information of power, voltage, network configuration in neighborhood areas, so it is better on convergence and quality of solution. The proposed algorithm is testified by IEEE 14-bus system and a practical 181-bus system.     

Wurzelsystem, Biomasseproduktion, Bestockung und Ertragsbildung von vier Winterweizensorten in einem System mit geringer Betriebsmittelzufuhr von außen

Rooting patterns, biomass production, tillering, and yield formation of four winter wheat cultivars in a low external input system Growth conditions of winter wheat in agricultural low external input systems, e.g. ecological agriculture differ from those in conventional agriculture with regard to nutrient flow, impact of diseases, and weed competition. Knowledge of the dynamics of yield formation of winter wheat cultivars is very important for further development of such systems. During two growing seasons root growth, above ground biomass production, tillering, and yield formation were studied with four winter wheat cultivars of different periods of release at two ecologically managed farms in Northern Hessia. The results can be summarized as follows: – In general, plant breeding did not lead to a reduced development of root systems or above ground biomass production in winter wheat (Stöppler et al. 1989 a). Modern wheat varieties develop an extensive root system in greater depth, which means better drought resistance. – Not only root length densities, total root length, characteristics of tillering, and yield formation showed clear genotypic differences between the winter wheat cultivars, but also the development of root systems and above ground biomass production. – Winter wheat cultivars with a high plant density seem to have a retarded root growth after tillering due to intra-plant-competition and late root growth during grain filling, whereas cultivars with a high ear weight develop an extensive root system before the grain filling period. At the beginning of this period, a great root length per culm seems to be most important to achieve a high ear weight. The results indicate that those cultivars with poor to medium tillering and high ear weight are very well adapted to the reduced nutrient flow in low external input systems of farming. –In low external input systems, a satisfactory wheat crop need be established before tillering.