具有FACTS设备的多目标电网计划

提出了具有灵活交流输电（ＦＡＣＴＳ）设备的多目标妥协规划模型,综合考虑了ＦＡＣＴＳ设备对电网规划的经济性和可靠性两方面的影响,并采用混合遗传－模拟退火算法求解了该模型。算例结果表明ＦＡＣＴＳ设备能够提高电网规划的经济性及经济性与可靠性的综合水平,并证明了多目标电网规划妥协模型及其解其方法的有效性。     

俄罗斯统一电力系统反事故自动装置的一些技术特性

俄罗斯统一电力系统反事故自动装置的一些技术特性阿布拉缅科娃Ｈ．Ａ．彼得罗夫Ａ．Ｍ．波波夫西伯利亚电网设计院，俄罗斯新西伯利亚市ＳＯＭＥＣＨＡＲＡＣＴＥＲＩＳＴＩＣＳＯＦＥＭＥＲＧＥＮＣＹＣＯＮＴＲＯＬＤＥＶＩＣＥＳＦＯＲＲＵＳＳＩＡＮＩＮＴＥＧＲＡＴ...     

科研单位节电技术改造大有可为─—长沙矿冶研究院节电改造体会

科研单位节电技术改造大有可为─—长沙矿冶研究院节电改造体会长沙矿冶研究院蒋业轩ＢＲＩＧＨＴＰＲＯＳＰＥＣＴＳＦＯＲＴＥＣＨＮＯＬＯＧＩＣＡＬＴＲＡＮＳＩ－ＦＯＲＭＡＴＩＯＮＯＦＥＮＥＲＧＹＳＡＶＩＮＧＩＮＡＳＣＩＥＮＴＩＦＩＣＡＮＤＲＥＳＥＡＲＣＨＩ...     

基于模糊控制遗传算法的输电系统最优化规划

用遗传算法求解优化问题时,要花费大量时间对基因进行测试,,速度较慢。另外,遗传算法的性能还强烈地依赖于一睦相关参数（例如交叉和变异的概率）的选取。文中以电网规划为背景,对简单遗传算法（ＳＧＡ）进行了多方面改进,得到模糊控制遗传算法（ＦＬＣＧＡ）。该算法速度快,收敛到全局最优解的概率大。与基于传统遗传算法的电网规划比较,ＦＬＣＧＡ算有明显的优越性。     

关于城市电网改造与推广20kV中压配电的问题

关于城市电网改造与推广２０ＫＶ中压配电的问题孙西骅，许颖中国电力企业联合会，１０００７６１北京电力部电力科学研究院，１０００８５北京清河ＵＲＢＡＮＮＥＴＷＯＲＫＲＥＣＯＮＳＴＲＵＣＴＩＯＮＡＮＤＳＰＲＥＡＤＯＦ２０ｋＶＭＥＤＩＵＭＶＯＬＴＡＧＥＦＯＲ...     

几种AM/FM/GIS系统的分析与比较

对ＡＭ／ＦＭ／ＧＩＳ系统在电力系统中的应用及其功能作了简要论述。介绍了深圳雅都公司、美国ＩＮＴＥＲＮＧＲＡＰＨ公司及摩天公司ＡＭ／ＦＭ／ＧＩＳ系统产品的主要技术特点。通过对以上三大公司的ＡＭ／ＦＭ／ＧＩＳ系统的分析比较,为读者进行ＡＭ／ＦＭ／ＧＩＳ系统选型工作提供了参考。     

AM／FM／GIS在配网管理系统中的应用

ＡＭ／ＦＭ／ＧＩＳ系统在配电系统中的应用越来越广泛。本文阐述了ＡＭ／ＦＭ／ＧＩＳ的基本概念及其发展情况,并结合配电系统特点,介绍了ＡＭ／ＦＭ／ＧＩＳ目前在电力系统中的应用情况,并简要地介绍了ＧＩＳ平台选择标准。     

面向目标的FACTS设备智能预估控制方法(一)

一种新的ＦＡＣＴＳ设备的多目标优化控制方法,即ＦＡＣＴＳ设备的智能预估控制方法综合了预测控制和逆系统控制的优点,将确定ＦＡＣＴＳ设备最优控制信号的过程分解为先对ＦＡＣＴＳ设备的候选输出进行筛选作业,以求得ＦＡＣＴＳ设备的最优输出,然后再根据最优输出反演计算ＦＡＣＴＳ设备的实际控制信号这样两个子过程。在各个子过程中,人工神经网络技术和模糊推理方法被分别用于解决不同的问题。文中还以先进的静止无功发生器     

国际电力会议及有关团体机构介绍

国际大电网会议国际大电网会议,英文是ＴＨＥ　ＩＮＴＥＲＮＡＴＩＯＮＡＬ　ＣＯＮＦＥＲＥＮＣＥ　ＯＮ　ＬＡＲＧＥ　ＨＩＧＨ　ＶＯＬＴＡＧＥ　ＳＹＳＴＥＭＳ,是一个永久性的非官方、非盈利的国际学术团体,创建于１９２１年,总部在法国,其宗旨是在高压发、输电领域开展国际间学术研究和信息交流。国际大电网会议主要活动有每偶数年的全体年会,特别专题讨论会以及出版会刊ＥＬＥＣＴＲＡ等。专门技术活动由１５个常设的专业研究委员会组织和协调。这１５个专业委员会分别是ＳＣ１１旋转电机、ＳＣ１２变压器、ＳＣ１３开关设备、…     

柔性交流输电系统概念研究的新进展

本文介绍了近几年来ＩＥＥＥ和ＣＩＧＲＥ等国际学术团体对ＦＡＣＴＳ概念反复讨论和磋商形成的一些新进展。它既反应了ＦＡＣＴＳ技术的快速发展，也进一步明确了对ＦＡＣＴＳ概念及其各种控制器技术的规范。最后还介绍了我国对ＦＡＣＴＳ控制器的研制和应用情况。     

具有FACTS设备的多目标电网规划

提出了具有灵活交流输电 (FACTS)设备的多目标妥协规划模型 ,综合考虑了FACTS设备对电网规划的经济性和可靠性两方面的影响 ,并采用混合遗传—模拟退火算法求解了该模型。算例结果表明FACTS设备能够提高电网规划的经济性及经济性与可靠性的综合水平 ,并证明了多目标电网规划妥协模型及其解算方法的有效性     

Swarm intelligence based algorithms for reactive power planning with Flexible AC transmission system devices

In the proposed work, authors have applied swarm intelligence based algorithms for the effective Co-ordination of Flexible AC transmission system (FACTS) devices with other existing Var sources present in the network. IEEE 30 and IEEE 57 bus systems are taken as standard test systems. SPSO (Simple Particle Swarm Optimization) and other two swarm based intelligence approaches like APSO (Adaptive Particle Swarm Optimization) and EPSO (Evolutionary Particle Swarm Optimization) are used for the optimal setting of the Var sources and FACTS devices. The result obtained with the proposed approach is compared with the result found by the conventional RPP (Reactive power planning) approach where shunt capacitors, transformer tap setting arrangements and reactive generations of generators are used as planning variables. It is observed that reactive power planning with FACTS devices yields much better result in terms of reducing active power loss and total operating cost of the system even considering the investment costs of FACTS devices.     

改进遗传算法在输电网络规划中的应用研究

首先对输电网络规划和遗传算法进行简要论述,并确立了数学模型。为了提高遗传算法在输电网络规划中的优化性能,提出了改进自适应遗传算法(MAGA)。该方法有助于防止传统遗传算法过早收敛和走向局部最优,适应于多变量、多目标的环境,能够快速的找到全局最优。通过对实际系统的计算表明,MAGA具有可行性。最后,应用了2种不同算法进行性能比较,证实了MAGA有更强的优化性能。     

A new dynamic control strategy for power transmission congestion management using series compensation

The growth of electricity market due to increase in demand and infrastructure made the power system more complex. Managing the transmission congestion is one of the main challenges faced by the utilities. To relieve from the bottlenecks, Flexible AC Transmission Systems (FACTS) and Distributed FACTS (D-FACTS) devices can be used in controlling the transmission line power flows. The real power flow control is realized by varying the transmission line impedance. The power flow in transmission line should satisfy inequality constraints to maintain the system in normal state. To achieve this, an algorithm is developed to control the FACTS/D-FACTS devices connected to all the transmission lines of n-bus system. The significant changes required in line impedance which will be deployed by FACTS devices are decided by the algorithm. In this paper, a 5 bus system and a 14 bus system with FACTS devices in all the transmission lines is considered. The transmission lines of the 5 and 14 bus systems are made to be overloaded in different combinations by choosing appropriate loading conditions. The control algorithm is tested on all the overloaded conditions to overcome the congestion. The FACTS devices controlled by the algorithm removes the overloading effect and improve the reliability of the network.     

Loadability enhancement with FACTS devices using gravitational search algorithm

In the present work, GSA (gravitational search algorithm) based optimization algorithm is applied for the optimal allocation of FACTS devices in transmission system. IEEE 30 & IEEE 57 test bus systems are taken as standards. Both active and reactive loading of the power system is considered and the effect of FACTS devices on the power transfer capacity of the individual generator is investigated. The proposed approach of planning of reactive power sources with the FACTS devices is compared with other globally accepted techniques like GA (Genetic Algorithm), Differential Evolution (DE), and PSO (Particle Swarm Optimization). From the results obtained, it is observed that incorporating FACTS devices, loadability of the power system increases considerably and each generator present in the system is being able to dispatch significant amount of active power under different increasing loading conditions where the steam flow rate is maintained corresponding to the base active loading condition. The active power loss & operating cost also reduces by significant margin with FACTS devices at each loading condition and GSA based planning approach of reactive power sources with FACTS devices found to be the best among all the methods discussed in terms of reducing active power loss and total operating cost of the system under all active and reactive loading situations.     

基于FACTS的现货市场阻塞解决方法研究

在电力市场环境下,利用柔性交流输电系统FACTS(FlexibleACTransmissionSystem)设备解决网络阻塞问题,获取更大的经济效益已经越来越引起人们的重视。提出基于FACTS的现货市场阻塞解决方法。从安全域的角度分析了引入FACTS控制作用解决阻塞问题的机理,建立了含FACTS控制作用的潮流和最优潮流模型,并用算例进行了分析。研究结果表明,FACTS的控制作用可以有效地解决网络传输阻塞问题,降低购电成本,避免由于网络输电阻塞引起节点电价的震荡。     

Coordinated application of FACTS controllers to damp out inter-area oscillations

This paper proposes a systematic analysis and design procedure for simultaneously determining the best locations and input signals of flexible AC transmission system (FACTS) devices in order to damp out inter-area oscillations. First, a modified modal power flow oscillation flow method is developed to determine the nature of the energy exchange over the transmission network in the presence of FACTS devices. With this method, the modal distribution along critical system paths is identified, and the contribution of each machine and network device is computed. Controllability and observability studies are then used to assess the effect of existing FACTS controllers on system damping as well as to identify optimal locations for new devices. The proposed procedure is demonstrated on a 46-machine, 190-bus reduced-order equivalent model of the Mexican interconnected system that includes several static VAR compensators.     

基于相对增益矩阵和 Prony 技术的南方电网FACTS 和 HVDC 之间交互影响分析

高压直流输电(HVDC)及灵活交流输电(FACTS)装置因其优良特性被广泛应用于现代电网中,但是其实际应用时间较短,加之其控制器的复杂性,使得对大规模交直流混联电网中 FACTS 装置之间及 FACTS 装置与 HVDC 间的交互作用的研究不够成熟和完善.文中以定量分析南方电网中FACTS 装置之间以及 FACTS 装置与 HVDC 系统间的交互作用大小为目标,建立了含 FACTS 装置和 HVDC 系统的多机电力系统的线性化模型,并详细阐述了引入不同 FACTS装置及直流系统时,控制变量、输出变量的选择及对代数方程的处理.接着对南方电网进行等值,利用该线性化模型推导出等值系统的传递函数,利用 RGA 方法找出 FACTS 装置之间以及 FACTS 装置与 HVDC 系统间的交互作用的大小.最后通过大扰动下的 Prony 分析验证了 RGA 分析结果的正确性.     

Optimal sizing of SSSC controllers to minimize transmission loss and a novel model of SSSC to study transient response

In this paper, based on steady-state models of flexible AC transmission system (FACTS) devices, the sizing of static synchronous series compensator (SSSC) controllers in transmission network is formed as an optimization problem. The objective of this problem is to reduce the transmission losses in the network. The optimization problem is solved using particle swarm optimization (PSO) technique. The Newton–Raphson load flow algorithm is modified to consider the insertion of the SSSC devices in the network. Numerical examples, illustrating the effectiveness of the proposed algorithm, are introduced. In addition, a novel model of a three-phase voltage source converter (VSC) that is suitable for series connected FACTS a controller is introduced. The model is verified by simulation using Power System Blockset (PSB) and Simulink software.