DISA-1变电站自动化系统中遥信误报的研究

遥信误报是电力调度自动化系统在运行中常见且用户反应强烈的问题之一，遥信的频繁误报造成了运行执班人员很大精神负担，甚至导致调度人员判断错误造成事故。文中初步探讨了遥信误报产生的原因，提出了反遥信误报的措施，在ＤＩＳＡ－１中从软、硬件两方面对遥信误报问题进行了研究，提供了一些有效消除遥信误报现象的方法。     

遥信误报信息的分析及处理

电网调度自动化系统是保证电网安全、可靠、稳定、经济运行，提高调度运行管理水平的重要环节。然而遥信误报的现象，却严重影响了调度值班员和集控人员对电力系统实时状况的监控，困扰了变电站无人值班工作的开展。铜川供电局技术人员经长期探索研究，通过采用双位置遥信、提高遥信输入电压等方法，有效地改善了遥信误报现象。     

调度自动化系统遥信误报问题研究

文章针对目前调度自动化系统中普遍存在的遥信误报问题，分析了遥信误报产生的原因，提出了消除遥信误报的具体措施。     

遥信误报信息的分析及处理

电网调度自动化系统是保证电网安全、可靠、稳定、经济运行,提高调度运行管理水平的重要环节。然而遥信误报的现象,却严重影响了调度值班员和集控人员对电力系统实时状况的监控,困扰了变电站无人值班工作的开展。铜川供电局技术人员经长期探索研究,通过采用双位置遥信、提高遥信输入电压等方法,有效地改善了遥信误报现象。     

遥信信号误报的分析与处理

遥信是电力调度自动化的一项基本功能,然而遥信误报现象时有发生,严重威胁到调动自动化的运行。本文简要介绍了当前遥信误报的种类,并对最主要的遥信误报的原因进行了细致的分析。最后根据实际情况提出了三种具体的改进方法,有效地改进了遥信遥信误报的现象。     

防遥信误报的软件处理技术

遥信误报一直是困扰电力调度自动化系统的重要问题。作者分析了产生遥信误报的原因及误报遥信信息的特点，从软件和硬件两方面，介绍了利用有关单元的基本原理，并在自动化系统后台，采用软件等方法进行过滤和处理误报遥信信息的方案及实现。     

减少遥信信号误报的措施

介绍了遥信信号误报的影响,针对误报原因进行了分析,给出了5种解决遥信误报的措施。通过合理治理策略的制定和实施,提高了遥信动作的正确率,保证了调度自动化、配电自动化系统的可靠运行,为电网设备的安全运行保驾护航。     

调度自动化系统遥信遥控装置运行分析

调度自动化系统中存在的大量遥信误报、漏报以及遥控不能执行或执行不正确的问题,给调度自动化系统的正常运行带来影响。针对遥信、遥控中存在的问题进行较为深入的分析与研究,同时结合实际提出了切实有效的解决对策。     

解决遥信误报漏报的对策

遥信信号直接反映变电站相关设备的运行状态,是电网调度中最重要的信号之一,因此,其可靠性、准确性非常重要。现场运行中发现,遥信的误报或漏报现象经常发生,不断地启动打印机、语音告警、推画面,给运行值班人员造成很多干扰;特别是在故障处理过程中的误报、漏报,不仅影响运行人员对事故的正确判断与处理,同时极易引起操作失误,扩大事故,进而引发电网事故。     

远动通道遥信误报故障的分析和解决

遥信信息的可靠性在无人值班变电站中占有重要地位。对某调度自动化系统多次发生的V.24接口远动通道遥信误报故障进行原因分析,并提出解决措施,对远动终端进行网络化改造,安装网络接口转换装置,将V.24接口转换为以太网接口。通过网络化改造,提高了遥信的可靠性,保证了调度自动化的正常运行。     

Optimal long term transmission expansion planning based on maximumprinciple

The authors propose an algorithm for long-term transmission expansion planning. The algorithm is based on the linear power flow and failure probabilities for the operation cost model, and the maximum principle for the long-term investment model. The optimization problem consists of the long-term problem to determine the annual investment, and the yearly problem to determine the optimal operation. The long-term problem is formulated as a Hamiltonian minimization problem and the yearly problem is formulated as a linear programming problem     

基于广义Benders分解的启发式机组组合优化

电力系统机组组合问题是一个高维、离散、非线性的工程优化问题。提出了一种基于Benders分解的启发式算法。该算法一方面充分利用研究时段负荷曲线的特征,将问题进行解耦,减小被研究问题的规模。另一方面,利用Benders分解算法在混合整数规划中的有效性,提高了解决问题的效率。算例表明该方法效率高、结果稳定,有较好的实用价值。     

一种最优匹配注入流与遗传算法结合的电容器优化规划方法

把电容器配置优化问题分解成主-从两个问题,并采用解析和软优化算法结合的混合方法求解。主问题是优化电容器补偿点的个数和补偿地点;从问题是假定补偿点个数和补偿地点都确定的前提下,计算不同负荷水平下的最优补偿容量,并归整到电容器组的可选容量上。基于最优匹配注入流法实现了一个解析算法,用于计算从问题。而采用自适应参数调整的遗传算法来求解主问题。通过对选择压力、变异和杂交算子的自适应调整,改进后的算法可以明显改善遗传漂移现象和提高收敛速度。该算法以最大经济效益为目标,可以计算出各个补偿点的安装容量、单台容量和各负荷水平下的投运容量。最后的算例结果表明该文的算法是有效的。     

A new Optimal reactive power planning based on Differential Search Algorithm

This paper proposes a new multi-level methodology based on the optimal reactive power planning. The developed methodology is designed to solve the problem of the non-feasibility solution of the fuel cost minimization problem (for a given operating point) where the classical method such as interior point method (IPM) is applied. The proposed solution to solve this problem is based on the application of the optimal reactive power planning problem considering voltage stability as the initial solution of the fuel cost minimization problem. To improve the latter the load voltage deviation problem is applied to improve the system voltage profile. For à good result improvement, the reactive power planning problem and the load voltage deviation minimization problems are solved using a new optimization method namely the Differential Search Algorithm (DSA). Moreover, the fuel cost minimization problem is solved using IPM. To identify the candidate placements of compensation devices for the optimal reactive power planning problem, a new voltage stability index namely: The Fast Voltage Stability Index (FVSI) is used. The methodology has been tested with the equivalent Algerian power system network, and the simulation results show the effectiveness of the proposed approach to improve the reactive power planning problem and to minimize the system voltage deviation.     

THE SIMULTANEOUS APPROXIMATION OF MAGNITUDE AND PHASE BY FIR DIGITAL FILTERS. I: A NEW APPROACH

The non-linear problem of simultaneous approximation of the magnitude and phase by an FIR digital filter is studied. Usually this problem is solved indirectly by solution of the complex Chebyshev approximation problem of the frequency response of the filter, which can be described as a linear or non-linear convex semi-infinite programming problem. In the present first part of the paper the relationship between the magnitude/phase problem and the Chebyshev problem is investigated and an alternative approximate representation in the form of a convex semi-infinite programming problem is derived. The latter problem can be solved by the same methods for such problems which were used previously by the authors for the solution of (constrained) complex Chebyshev approximation problems. In part II of the paper some earlier approaches to FIR filter design are reconsidered and discussed with regard to the magnitude/phase problem. It is further demonstrated there by several examples of filter designs that the new approach of this paper leads to very good results. © 1997 by John Wiley & Sons, Ltd.     

基于区间优化算法的电力系统可靠性评估逆问题模型

电力系统可靠性评估逆问题是指从已知的可靠性指标值出发求取未知的元件可靠性参数的问题,是电力系统可靠性领域一个重要的潜在研究方向。只有在待求可靠性参数个数与可靠性指标个数相等的特殊情形下,采用现有的逆问题研究方法才能取得参数的准确值。针对以上不足,首先,基于可靠性指标解析计算函数,构建逆问题的非线性方程组模型。其次,为计及已知可靠性指标个数大于、等于或小于待求参数个数的3种情形,将方程组模型转化为优化问题,建立逆问题的一般性模型。针对逆问题存在多解的情形,以可靠性参数优化为例,说明如何构建对应于具体工程问题的逆问题模型。然后,提出基于改进区间优化算法的逆问题求解方法,该方法能够在逆问题的不同情形之间进行切换,并确保求得最优解。最后,将所提方法应用于RBTS、IEEE-RTS系统和91节点系统,算例结果表明：针对逆问题的上述3种情形,采用所提方法均可有效求得准确的元件可靠性参数。     

Application of NSGA-II Algorithm to Single-Objective Transmission Constrained Generation Expansion Planning

This paper presents an application of elitist nondominated sorting genetic algorithm version II (NSGA-II), a multiobjective algorithm to a constrained single objective optimization problem, the transmission constrained generation expansion planning (TC-GEP) problem. The TC-GEP problem is a large scale and challenging problem for the decision makers (to decide upon site, capacity, type of fuel, etc.) as there exist a large number of combinations. Normally the TC-GEP problem has an objective and a set of constraints. To use NSGA-II, the problem is treated as a two-objective problem. The first objective is the minimization of cost and the second objective is to minimize the sum of normalized soft constraints violation. The hard constraints (must satisfy constraints) are treated as constraints only. To improve the performance of the NSGA-II, two modifications are proposed. In problem formulation the modification is virtual mapping procedure (VMP), and in NSGA-II algorithm, controlled elitism is introduced. The NSGA-II is applied to solve TC-GEP problem for modified IEEE 30-bus test system for a planning horizon of six years. The results obtained by NSGA-II are compared and validated against single-objective genetic algorithm and dynamic programming. The effectiveness of each proposed approach has also been discussed in detail.     

多选择背包问题的知识进化算法

针对多选择背包问题,设计了求解该问题的知识进化算法方案,编写了仿真实验的程序,并采用其他文献的算例进行了仿真实验。结果表明该算法的有效性和优越性。本文为求解多选择背包问题提供了一种新的可行方法,同时也拓展了知识进化算法的应用领域。     

基于最优控制方法的一类不确定非线性系统的鲁棒控制

研究了一类不确定非线性系统的鲁棒控制问题,目的是在未满足不确定性匹配条件的情况下设计稳定系统的状态反馈。通过将设计鲁棒控制器问题转化为设计最优控制器问题以补偿系统中的不确定性,说明了最优控制的解即为鲁棒控制的解,并通过仿真说明这种设计方法的效果。     

用多种群并行自适应遗传算法求解多机多阶段Flowshop提前/拖期调度问题

多机多阶段流水车间(Flowshop)提前/拖期调度问题的目标是使工件的提前/拖期惩罚成本最小,这是一个NP完全问题,很难用一般的方法解决.本文首先给出了问题的数学模型,然后构造并采用多种群并行自适应遗传算法求解该问题.仿真结果表明此算法不仅具有较强的全局收敛性,而且有更快的寻优速度,是求解复杂调度问题的有效算法.