Distribution Network Structure Planning Based on Improved Immune Genetic Algorithm

Distribution Network Structure planning is a complex combinatorial optimization problem,which is difficult to solve properly by using traditional optimization methods.In order to solve this problem,Improved Immune Genetic Algorithm is introduced to the distribution network optimal planning. Improved Immune Genetic Algorithm draws into the immune diversity and antibody's density mechanism to maintain the individual's diversity and remains evolution algorithm's global stochastic searching ability,so it can promote diversity and the whole optimal-searching ability of genetic algorithm.The optimal module takes the minimum annual cost as its object,and the capacity and voltage drop of feeder and the radiation of distribution network as its restrictions.According to the require of radiation of distribution network,the spanning tree of the alternative network is taken as the initial solution to speed up the calculation.And the branch-exchange method is used in designing crossover operator and mutation operator to avoid the radiation checking and enhance the optimizing ability.This algorithm has been illustrated effectively by examples,at the same time,the calculation example demonstrates that,the algorithm has higher calculation speed than the traditional immune genetic algorithm.     

Distribution Network Structure Planning Based on Multi-population Immune Genetic Algorithm

Distribution Network Structure planning is a complex combinatorial optimization problem, which is difficult to solve properly by using traditional optimization methods. The authors put forward Multiple Population Immune Genetic Algorithm (MPIGA)for optimal planning of distribution network structure, and do optimal search to different aspects of optimization goals. During the genetic evolution process, biologic immune mechanism is introduced to do some immune operator operation on chromosomes of each population, which can interact mutually by the shift of excellent units. By this way, it can effectively prevent population retrogression, promote diversity and the whole optimal searching ability of genetic algorithm. In order to minimize network annual expenditure, a mathematic model is established. The optimal solution is obtained by this algorithm, which has been illustrated effectively by specific examples at the same time.     

Dynamical niche sets-based cooperativeevolutionary algorithm for job shop scheduling

Job shop scheduling is an important part of manufacturing process. Pre-mature, local optimal solution or low convergence rate of Genetic Algorithm may come across in solving scheduling problem in multi-Job shop. To avoid those unhealthy tendencies, this paper introduced the Dynamical Niche Sets-based Cooperative Evolutionary Algorithm model.In the Algorithm, Process-based chromosome encoding method was used; the crossover operator and mutation operator were designed to adjust operation sequences and choose process routes. The cooperative scheduling problem in multi-Job shop was solved using dynamical niche sets technology and multi-population cooperative evolution method. The Experiment result shows the proposed method has good advantages.     

Application of Comprehensive Weight Method to Choosing the Connection Mode of 10 kV Distribution Network

In order to find the most appropriate connection mode of 10 kV distribution network, a new approach is put forward ,in which the comprehensive weight method is applied to power system planning. At first, the main kinds of connection mode of 10 kV distribution network are introduced,then,basing on the information of subjective weights and objective weights, the performing process of the new approach is presented. It can choose the most appropriate connection mode of 10 kV distribution network sufficiently and can be calculated easily. At last, the validity and practicability of this new approach is testified with a sample.     

Application of the Genetic Algorithm in Timetable Problem

Genetic Algorithm is based on the biological mechanism of natural selection and heredity, leveraging colony searching technology, and is particularly applicable for the resolution of complicated non-linear problems intractable with traditional searching methods. Timetable problem is a multi-factor optimized decision problem and is typical problem in constitution and planning. It has been proved as a kind of NP-complete problem. According to the character of courses assignment in an university, a kind of codes and fitness function are designed and solved by Genetic Algorithm. With adaptive crossover and mutation probability employed, the experiment verifies that this method is both efficient and effective for the problem.     

浅析淮南市潘集现代农业示范园区规划

浅析了淮南市潘集现代农业示范园区规划,对规划的背景、示范区现状、规划意义、规划目标、示范区的空间结构布局和功能分区以及规划的创新进行了充分的分析。淮南是全国重要的大型煤炭生产基地,面临着资源枯竭的危机和产业转型的机遇,综合示范区现有农业资源禀赋、产品定位、空间分布、市场区位和交通条件等因素,通过不同功能区的培育和交通系统的完善,因地制宜,针对性地提出了现代农业的规划,形成六区一带的总体格局,将蔬菜、粮食、循环养殖、加工物流、观光农业等产业及新农村建设有机结合,为采煤塌陷区产业转型提出了有效的现代农业的规划思路,促进潘集区现代农业的快速发展,给当地带来十分广阔的发展前景,给类似地区的发展提供参考。     

Human Face Location Based on Motion Information in a Complex Background

This paper proposes an improvement for the traditional Optical Algorithm, and presents a new way to image segmentation in a complex background. In addition, combined with the neural network, the system can locate the possible human faces successfully by means of two-step location model. In our system, the searching and locating of the human face is the most important stage. According to this, the authors adopt the two-step way to run, firstly they take up the segmentation of the candidate human face areas and then the accurate face locating based on the neural network is used. This algorithm is fast and robust. Experimental results with real scene images are given out there, and all these prove that two-step method gains many advantages in the course of human face location with motion information, such as real-time, robustness and practicality. In addition, the proposed system is also the fundamental and important part of the perfect human face recognition system.     

现代农业示范区主导产业规划方法研究

主导产业是现代示范区经济发展的核心内容,也是示范区建设规划的重要组成部分。为了增加规划的科学性,引导示范区快速发展,根据示范区产业基础,采用多目标分析法系统地集成出了一套完整的影响主导产业选择因素的指标体系,并通过计算因素指标值和综合排名确定了主导产业,最后提出了主导产业规划重点和最佳的空间布局,以期为示范区主导产业规划和发展提供参考。研究结果表明：加强主导产业选择与规划有利于促进示范区农业结构调整与优化,实现资源在空间结构上的有效配置,加快推进区域现代化发展。     

SEEIP核心企业局域智慧能源网络框架及优化配置方法

智慧节能工业园区（SEEIP）的核心企业能源配置对产业集群的循环经济节能降耗具有重要作用。针对SEEIP建设与既有工业园区核心企业能源系统的智慧化改造,提出一种基于信息和通信技术（ICT）的局域智慧能源网络框架,并给出了能源生产模块、能源转换模块与能源蓄存模块中各种能源介质及品位的能量计算数学模型。以经济成本与环境影响为目标的函数,给出了SEEIP企业能源网络系统配置的优化模型,并采用改进的差异演化算法（DE）结合数据库查询技术求解该混合整数非线性规划（MINLP）优化问题,给出企业能源系统最佳配置方案,以满足用户冷、热、电需求。     

Capacitive Coupler Used for Detecting Partial Discharge in GIS

The coaxial configuration of gas-insulated substations is of great advantages transmitting the electromagnetic wave excitated by partial discharge and of great advantages of partial discharge detection. Based the characteristics of configuration of GIS and PD signals inside, the authors design a disc coupler and a loop coupler for continuous monitoring of partial discharge in GIS, and analyze the sensor's characteristics theoretically. The frequency response (FR) characteristics of the disc coupler and the loop coupler are analyzed by the simulation and measurement realistically of square wave response. In addition, the measured results of partial discharge by the sensors designed in GIS are given, and it is shown that the sensors designed are available for the measurement of partial discharge in GIS.     

A NONLINEAR PROGRAMMING MODEL AND ITS ALGORITHM FOR TRANSMISSION NETWORK PLANNING

The problem of transmission network planning is studied thoroughly by applying the mathmatical optimal tecqhniue in this paper. A novel approach is put forward for computer aided transmission network planning, which is quite different from what is based on D.C. load flow equations. A nonlinear transmission planning model is set up by regarding A.C. load flow equations as the system model. A practical model which can be solved more easily, and an united algorithm are obtained by applying the SUMT to the nonlinear model. The results of some practical examples indicate that this method can not only make the planning results more accurate, but also provide the voltage qualities and produce planning plans autometically and seek the plans optimally and fast.     

OPTIMIZATION DESIGN OF ADVANCED CORRECTION OF THE CONTROL SYSTEM BY A PASSIVE NETWORK

Optimization design of correction of the control systemby a passive network is studied in this paper.The design method guan-rantees collocation of a closed loop pole in a desired position,but alsominimizes the gain of the system amplifier,thus making the technicalrealization of the system easier.The design method is proved in thepaper.     

城市防灾避险绿地系统的构建

城市防灾避险绿地系统构建是城市绿地系统规划的重要内容。宏观上要在城乡总体规划的框架内,在城市抗震防灾等规划的指导下,构建与城市绿地系统规划空间层次相互衔接、逐级控制的防灾避险绿地规划体系;中观上要根据避险时序及空间关系等要素,对避险绿地、绿色疏散通道、隔离缓冲绿带等各级防灾避险绿地进行定量定位的合理布局;微观上要对每一块避险绿地、绿色疏散通道、隔离缓冲绿带进行深入与细化设计,共同构筑结构合理、层次清晰、分布均衡的城市防灾避险绿地体系。     

A Muti-Objective Network Planning Model for Project

Based on the network planning model developed by the author for an overhaul project of a rolling mill production line in a heavy steel plant, an new multiobjective network planning model is proposed in this paper. The formulations of network time parameters are derived. The optimization problem of multiobjective network planning is also discussed. And it has been found out that the fractional single-objctive network is only one of the cases in this model.     

Hardware in the loop test for plug-in hybrid electric vehicle

Mathematical modes of engine,cooperation of motor and batteries,automatic clutch and vehicle are built with analysis of configuration of plug-in hybrid electric vehicle (PHEV). Specifications of data input and output and signal characters are defined. Hardware in the loop (HIL) system based on MATLAB/xPC for PHEV is built up. The motor/engine drive shift control logic test of PHEV is carried with inputting real acceleration pedal data. Testing results show that automatic clutch acts abnormally. Bugs in control logic are found out. Road test results with revised control logic are very good.     

Automatic Fingerprint Classification by GA-Based Neural Network

Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.     

Program Controlling in the Asset Appraisal

According to the problems in planning, performing and coordinating of asset appraisal, this paper brings forward a concept of program controlling of asset appraisal. A research on the method of program controlling of asset appraisal based on the theory of system engineering with applying the technique of network planning was carried out.     

The compensation method for the random time-delay of the feedbackchannel and the forward channel in the networked control system

An improved predictive control method is presented to compensate the random time delay in the networked control system. The feedback time delay is compensated by predictive controller based on softened increment input strategy. The forward time delay is unknown for controller, so an extra feedback loop is added to compensate the delay by estimating the error between the actual control signal effected on plant and the output of controller in historical moment. For the controlled system with unknown or slowly varying parameters, the networked feedback correction algorithm is discussed based on a modified recursive least-squares identi cation algorithm. The system stability is analyzed and the simulation results show that the time delay in the networked control system can be accurately compensated. The excellent network performance is ensured with this strategy.