基于聚类的差分进化算法的两阶段最优潮流方法

差分进化算法是一种广泛应用于求解非线性优化问题的全局最优解的元启发式方法,但存在容易找到次优解或近似局部最优解的问题.为此,提出了一种求解高质量局部最优解甚至全局最优解的基于聚类的差分进化算法的两阶段方法,并将该方法应用于电力系统最优潮流问题.所提方法由基于聚类的差分进化算法和局部优化算法组成.第Ⅰ阶段是基于聚类的差分进化算法利用强大的全局搜索能力快速确定包含局部最优解的区域;第Ⅱ阶段是局部优化算法利用局部寻优能力为非线性优化问题高效寻找高质量的局部最优解甚至全局最优解.在一组基准函数上测试了该两阶段优化方法的求解性能,并通过对IEEE 118节点电力系统最优潮流的计算,验证了所提两阶段优化方法的有效性和实用性.     

Characterization of Grain-Boundary Segregation in MgO

Using Auger electron spectroscopy, segregation of Ca and Si corresponding to the adsorption of a partial monolayer adjacent the boundary in polycrystalline MgO was observed. Segregation of Sc is different in nature; the distribution consists of a 3.0-nm wide region corresponding to a positive space charge layer balancing a negative boundary charge. Various segregation models are applied to the observed behavior.     

SELF-DIFFUSION IN IRON-50% COBALT ALLOY

用剩余强度法测定了Fe~(55)及Co~(60)在铁-钴(50％)合金中850--980℃α-区域内的自扩散系数,结果分别为 D_(Fe)=0.26 exp(—55,600/RT)厘米~2/秒, D_(Co)=14 exp(—65,000/RT)厘米~2/秒。 激活能测定数值与用准化学理论分析结果符合较好。     

河口海岸生态环境研究现状 及发展趋势

在广泛查阅国内外关于河口海岸生态问题研究相关文献基础上,综述了河口海岸侵蚀治理研究、河口地区水质研究和河口湿地的恢复与重建等三个热点方向的研究现状。进而,根据研究现状和我国河口海岸研究的实际需求,对海岸侵蚀,河口水质恢复和湿地保护等有关河口生态环境的研究方向进行了展望。     

Analysis of operating policies for manufacturing cells

We present an analytical model for error-recovery problems of unitary production cells and develop a framework for economic justification. Each production cell has its own machine and functional characteristics (e.g. precision, speed, operating cost). Each alternative operating policy of error-recovery for a production cell leads to a different system throughput, scrap rate, and required quantities of parts. However, error recovery cannot be accomplished without in-process inspections. Thus, the central problem discussed in this paper is to maximize profits or throughput rate by selecting an appropriate production cell along with an optimal set of inspection and error recovery policies.     

On a reliable data communication broadcast system

This paper describes the design and implementation of a 3 KHz band HF data broadcast communication system, using a quantized frequency modulation, adaptive lattice equalizer together with forward error correcting code (FEC) to obtain a high link reliability and low error rate. A frequency diversity approach is also used in the selection of the timely best carrier frequency, and a microcomputer is implemented into the system for automatic best carrier acquisition, data transmission and clock synchronization, with minimum operator's attention. Extensive field experiments were conducted and experimental results indicate that the system can achieve, for daytime operation, a link reliability of 87–98%, with a probability of error between 10^?4 to 10^?5, depending upon data rate (50, 75bps) and FECs used. For night time operation, the link reliability reduces to from 65–93% with a probability of error down in the order of 10^?3.     

潮流计算中PV-PQ节点转换逻辑的研究

详细地研究了潮流计算中的PV-PQ节点转换逻辑，指出潮流计算中因为节点类型识别错误引起的发散是系统失去电压稳定性的一种表现形式，它对应于约束诱导型电压崩溃现象。几种补逻辑的使用会导致潮流计算收敛于一个不稳定解。文中通过对一个实际系统算例和IEEE 118节点标准算例的数值试验说明了这一情况。并给出了潮流计算中要获得稳定解必须满足的稳定性条件的数学列式，说明了它与PV-PQ转换逻辑的等价关系。最后指出了在基于连续潮流的电压稳定性评估中如果采用不合理的PV-PQ补转换逻辑将得到错误的结果。     

一种在线电力系统静态稳定增强控制算法

提出了一种在线应用的电力系统静态稳定增强控制算法。这一算法基于连续线性规划技术，将增强控制问题分解为稳定临界点及其控制灵敏度的计算问题和基于灵敏度的优化控制问题。在前一个子问题中，运用基于连续潮流的间接方法分别计算得到每个故障的稳定临界点。在后一个子问题中，采用了参与控制集和部分变量的可控区间限制等策略来提高线性规划问题的计算有效性。一个3000节点的实际系统的应用表明，文中所提算法是有效实用的。     

增量式函数观测器对输入端不确定性有界扰动的稳定鲁棒性分析

观测器的稳定性证明是观测器存在的根本依据，文中在增量式函数观测器IFO-KDx成立的充要条件的基础上，探讨由于受控对象的固有特性(如不确定性、慢时变性等)使得IFO-KDx的充要条件不能给予严格保证时，其渐近稳定关系的变化。通过数学分析，论证IFO-KDx对于输入端存在不确定性有界扰动时的稳定鲁棒性。理论分析和工程实践均证明了，采用IFO-KDx设计状态反馈控制系统，不仅具有适用性和实用性，而且比起普通观测器具有较好的稳定鲁棒性，从而为观测器理论在控制工程中的创新与推广应用提供了一个重要的理论依据。 关键词： ；状态反馈控制；；；；     

Manoeuvring multitarget tracking method in cluttered environment

A method for tracking a manoeuvring multitarget in a cluttered environment is presented. The clutter or false alarms are assumed to occur uniformly and to be independently distributed. The algorithm is performed by taking a sliding window of length uT (T is the sampling time) at time K. Instead of solving a large problem, the entire set of targets and measurements is divided into clusters so that a number of smaller problems are solved independently. When a set of measurements is received, we form a new data-association hypothesis for the set of measurements lying in the validation gales; with each cluster from time K — u + 1 to K the probability of each track history is computed, and ihen by choosing the largest of these histories we perform the target measurement updated with the adaptive state esiimator. Meanwhile, the covariance-matching technique is adopted so that the accuracy of the adaptive state estimator will be improved. Simulation has shown the effectiveness of the tracking algorithm.