基于改进粒子群优化算法的分布式电源规划

针对目前配电网中存在的分布式电源规划问题,在最大化电压静态稳定性、最小化配电网损耗以及最小化全年综合费用三个方面建立了分布式电源规划的优化模型。在规划模型的基础上,采用拥挤距离排序的多目标量子粒子群优化算法(MOQPSO-CD)以及基于量子行为特性的粒子群优化算法(QPSO),来更新和维护外部存储器中的最优解,通过对全局最优最小粒子的选择引导粒子群能够对分布式电源的配置容量与接入点位置的真实Pareto最优解集进行查找,获得对多个目标参数进行合理优化。最后采用IEEE33节点的配电系统,在模拟仿真实验过程中获得了分布式电源容量配置以及介入位置的合理方案,验证了优化算法的可行性。     

多种无线制式的网络容量规划

随着LTE网络的大规模建设,2G/3G和LTE网络将在一定时期内长期并存。对各种制式的网络容量进行协调规划,首先需要对各种制式的网络配置数据和参数进行分析;其次是预测不同类型业务量的增长和网络负荷情况;最后,基于不同的驱动环境制定容量规划方案。本文总结了基于市场驱动、覆盖、容量和无线频谱等场景的容量规划方法。基于市场驱动的容量规划,网络为市场服务,业务需求预测成为对网络容量规划的依据;基于覆盖驱动的容量规划,首先满足覆盖要求,分步建站,逐步提高系统容量;基于容量驱动的容量规划,需要满足用户的服务质量要求,用户的业务需求和服务质量等级成为容量规划的依据;基于无线频谱的容量规划,需要在不同制式系统之间合理分配容量,以达到频率效率最优。     

基于成本与网络负载最优的智能配电通信网络规划策略

针对配电网络单个通信终端节点数据量小、通信终端节点多的特点,在提高网络接入节点数量的基础上最大化网络的负载.在宏基站、微基站部署方式上,将宏基站与微基站同时部署,以提供给微基站更多的部署选择.在分析智能配电网络通信业务需求、现有网络规划的弊端的基础上,建立了多目标优化模型,并与单目标优化模型进行对比分析.最后,从规划方案图以及网络性能分析上证明了本文所提策略的优越性.     

光传送网建模与价值评估

文章针对光传送网的规划与建设中,对光纤通信网络工作原理以及价值评估体系进行分析和建模,从底层物理出发,建立三种调制格式的仿真模型和光传送链路仿真模型,求解不同调制格式的信噪比及误码率容限点的跨段数,并从仿真实验角度验证了理论推导合理性,基于光纤的信息容量和传输距离,建立多目标优化模型,求解得最优网络规划方案,为我国城市群制定光传送网规划,采用约束法,以光纤总距离最短为约束目标,求解其余目标最优的网络规划的非劣解,最后综合考虑了传输距离,传输容量、网络拓扑等各种因素,寻找到最大化网络的价值的光传送网链路设计。     

LTE混合组网中基于多目标粒子群的自规划

TDD-LTE与LTE-FDD混合组网对网络规划依赖较高。为实现LTE混合组网的基站选址自规划,使网络同时满足覆盖、能效比、负载、成本最优,提出了一种均衡多目标优化的混合组网基站选址规划模型。结合LTE混合组网理想回传的特点,重新构建多个目标优化函数,利用改进的离散多目标粒子群算法,从Pareto解集中模糊折衷选取较优解进行优化。仿真结果表明,提出的网络自规划方法能够综合提高网络性能同时减少成本,具有较好的应用价值。     

城区覆盖场景LTE容量解决方案研究

随着LTE网络用户的增多,网络承载的业务量较大,当网络业务容量达到一定程度,就需要开展网络容量及网络深度覆盖的规划优化工作,文章重点针对后续网络业务发展中可行的网络演进、优化、规划等手段进行研究分析,同时结合邯郸本地现有的网络情况进行剖析,总结网络容量发展方案。通过该方案的实施,分场景的对后续LTE网络业务增长带来的容量增长、深度覆盖方面给出参考方案和优化思路,有效应用在LTE网络业务容量需求的场景。     

浅论配电网络规划

我们都知道,在电力系统中,配电网络规划的是否合理是极其重要的,可以说,配电网络的规划是电力系统中最为关键的一个环节。从经济学角度上分析,如果想得到利益最大化,那么就要对配电网络进行合理的规划,在规划的过程中务必遵循两个原则:①要保证他的安全性;②要保证他的经济性。只要遵循了这两个原则,那么配电网络就可以进行合理的规划。本文主要从电力系统在进行配电网络规划的过程中存在的问题入手,分析问题产生的元原因,并提出相关的解决策略,以期对日后的配电网络能够进行合理的规划有一个帮助。     

浅谈实施10kV配电网的规划设计及工程管理

我国经济在不断发展,人们生活水平在不断提高,电力需求也在不断增加,电力系统的要求也在不断地提升,尤其是在城镇,因为生活水平提高,人们的用电需求自然会增加,因此对电网就要有一个规划,电力系统目前还有很多的问题需要改善,特别是配电网架结构,因为这种结构直接影响着电力系统的应用,本文将对配电网中10kV配电网进行电网上的规划,电力设备的设计情况进行分析,具体的施工进行探讨,提出有价值的建议,让10kV配电网更加的便捷人们的生活.     

面向智能井盖监控的LoRa网络容量规划

基于LoRa通信技术的城市井盖智能监控系统面临基站最优规划的问题,文中对覆盖城市区域的LoRa网络容量进行评估。所评估的网络容量主要着眼于噪声限制和干扰限制两个主要因素,并提出了从网络边缘向LoRa网关的累积容量上、下限的数值模型。最后,将数值模型应用于智能井盖监控LoRa网络,得出了可以用于智能井盖监控网络规划的LoRa网络容量分布曲线。     

子网的规划及划分

随着网络技术和信息技术的迅速发展,越来越多的单位和家庭将计算机接入到互联网上,因大部分用户不是网络专业技术人员,很少能合理地使用IP地址,为了节约IP地址和便于管理网络,提出了一种子网的规划及划分的方法。这里对子网编址的方法进行了介绍,并根据实例对子网规划的设计过程进行了分析。通过实验,在内部局域网上划分逻辑子网,从而减少了IP地址的浪费。实践证明,该方法操作方便,可靠性高,具有一定的实际应用价值。     

陆地移动通信中电波传播特性基于矩量法的快速算法

电波传播特性对于陆地移动通信网络的规划、设计和优化至关重要,目前有很多方法,如统计法,几何光学法等,可以用来解决此类问题。本文提出采用基于矩量法的快速算法来进行电波传播的研究。通过本文方法与一般矩量法的数值结果相比较,说明本文方法的快速性和一致性;用本文方法和几何绕射法相比较,验证了本方法的正确性和有效性。     

FDTD analysis of field distribution in an elevator car by usingvarious antenna positions and orientations

In indoor coverage planning the lift car is considered to be one of the most difficult propagation environments. The authors have studied radiowave propagation in this environment by means of an FDTD simulation. The lift shaft and the transmitting antenna are also modelled. A short dipole antenna is placed at various orientations and positions and the influence of these factors on the electric field distribution in a lift car is examined. It is found that for practical lift car coverage planning purposes, the placement and orientation of a short dipole antenna are not of any significant importance     

Energiesparendes Bauen und Wohnen

Energy efficiency in building and living plays an important role for the careful treatment of not renewable resources and has a significant impact on the reduction of air pollution. This means that know how on the field of sustainable and energy efficient planning gets more important for planners very quickly. In the following paper an overview of the basics of energy efficient planning and building is given in the context of its consequences on the planning process.     

Symbolic discrete-time planning with continuous numeric action parameters for agent-controlled processes

In industrial domains such as manufacturing control, a trend away from centralized planning and scheduling towards more flexible distributed agent-based approaches could be observed over recent years. To be of practical relevance, the local control mechanisms of the autonomous agents must be able to dependably adhere and dynamically adjust to complex numeric goal systems like business key performance indicators in an economically beneficial way. However, planning with numeric state variables and objectives still poses a challenging task within the field of artificial intelligence (AI).In this article, a new general-purpose AI planning approach is presented that operates in two stages and extends existing domain-independent modeling formalisms like PDDL with continuous (i.e., infinite-domain) numeric action parameters, which are currently still unsupported by state-of-the-art AI planners. In doing so, it enables the solution of mathematical optimization problems at the action level of the planning tasks, which are inherent to many real-world control problems. To deal with certain difficulties concerning reliable and fast detection of action applicability that arise when planning with real-valued action parameters, the implemented planner allows resorting to an adjustable “satisficing” strategy by means of partial execution and subsequent repair of infeasible plans over the course of time. The functioning of the system is evaluated in a multi-agent simulation of a shop floor control scenario with focus on the effects the possible problem cases and different degrees of satisficing have on attained plan quality and total planning time. As the results demonstrate the basic practicability of the approach for the given setting, this contribution constitutes an important step towards the effective and dependable integration of complex numeric goal systems and non-linear multi-criteria optimization tasks into autonomous agent-controlled industrial processes in a reusable, domain-independent way.     

领域独立智能规划技术及其面向自动化渗透测试的攻击路径发现研究进展

攻击路径发现是自动化渗透测试领域的重要研究方向。该文综合论述了领域独立智能规划技术在面向自动化渗透测试的攻击路径发现上的研究进展及应用前景。首先介绍了攻击路径发现的基本概念并按照技术原理将其划分为基于领域相关和领域独立规划技术的攻击路径发现方法。然后介绍了领域独立智能规划算法,包括确定性规划算法、非确定性规划算法和博弈规划的技术原理和发展状况并就各类方法在攻击路径发现中的应用进行了综述。接着分析总结了渗透测试过程的特点,对比了领域独立智能规划算法应用在面向自动化渗透测试的攻击路径发现时的优缺点。最后对攻击路径发现将来的发展方向进行了总结和展望,希望对未来进一步的研究工作有一定的参考价值。     

电力设计与电网规划对电网安全的影响探究

当前市场经济得到了蓬勃发展,在新的发展环境下,对电力领域的改革也显得比较关键,这是满足人们日常生产生活需求的重要举措.在对电力的设计以及电网的规划环节要加强重视,这对电网的安全稳定运行也有着直接影响,基于此,本文主要就电力设计和电网规划对电网安全产生的影响详细分析,然后对电力设计和电网规划的原则以及要点详细探究,希望能通过此次理论研究,预祝与保障电网的安全.     

Bio-mimetic trajectory generation of robots via artificial potential field with time base generator

This paper proposes a new trajectory generation method that allows full control of transient behavior, namely, time-to-target and velocity profile, based on the artificial potential field approach for a real-time robot motion planning problem. Little attention, in fact, has been paid to the temporal aspects of this class of path planning methods. The ability to control the motion time to the target as well as the velocity profile of the generated trajectories, however, is of great interest in real-life applications. In the paper, we argue that such transient behavior should be taken into account within the framework of the artificial potential field approach.     

Hybrid Motion Control and Planning Strategies for Visual Servoing

This paper presents two hybrid strategies for robot visual servoing. Two specific image constraints, the image singularities and image local minima, are considered in both strategies. The hybrid motion control strategy consists of a local switching control between the image-based and position-based visual servoing for direct avoidance of image singularities and image local minima. The hybrid motion planning strategy consists of an artificial potential field-based global hybrid trajectory planner, where a complete set of Cartesian, image, and robot joint constraints under a complex visual servoing scenario are considered. In this strategy, the image singularities are resolved using the damped-least-square-based joint trajectory planning, while the image local minima are evaluated only along the planned image trajectories and automatically avoided in the image-based trajectory tracking. Two global planning methods are considered. In the first method, the end-effector trajectory is directly planned with respect to the stationary target object frame, which provides a much shorter translational path compared with the local planning method. In the second method, the target trajectory is planned with respect to the current end-effector frame, which minimizes the chances of image trajectories leaving the camera field of view. Simulation and experimental results are given to demonstrate the efficiency of the two hybrid strategies.     

基于物联网的物流信息平台规划与设计

物流行业不仅是国家规划的振兴产业,也是物联网应用的重要领域,围绕物流发展战略规划,依据物联网理论,以物流信息化建设为研究对象,提出了物流信息平台建设的技术框架和功能框架,期望为物流信息化建设发挥积极作用,并对其他区域的物流信息化建设提供借鉴作用。     

Directional Sensor Placement with Optimal Sensing Range,Field of View and Orientation

This paper introduces a new wireless sensor network planning problem referred to as the Optimal Sensor Configuration (OSC) problem. In this problem, the goal is to find an optimal subset of locations where directional sensors and base stations are installed in order to minimize the total network cost while satisfying the requirements of coverage and connectivity. This goal is achieved by appropriately choosing the base station type and configuring each sensor to be installed in the sensor field. The optimal configuration of each sensor is determined by three parameters which are sensing range, field of view and orientation. The paper also gives an integer linear programming formulation of the OSC problem. The viability and effectiveness of the proposed formulation are illustrated through numerical results.