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Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95最新文献

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Cultural and social impacts on electrical energy use management 对电能使用管理的文化和社会影响
F.S. Abouzakhar, T. Blackburn
When causes of any particular problem are addressed, the solutions are no longer difficult. Yet a lot of effort has been spent on querying minor issues of energy management and little has been done to resolve some major issues which relate to the social impacts of electrical energy. This paper addresses the need for a reevaluation of the accepted role of electrical energy. Electric power should not be seen as purely "matter become energy". Some public issues to do with electricity, such as the EM field problem, environmental impacts of generation, automation of the work place, and introduction of toxic materials, have been ignored or presented only as a minor issues. This paper surveys the literature on different aspects of the use of electrical energy in general and from specific social and cultural perspective's and argues the need for revising the accepted approach to determining electrical energy needs for the community.
当任何特定问题的原因得到解决时,解决方案就不再困难了。然而,人们在能源管理的小问题上花费了大量的精力,而在解决与电能的社会影响有关的一些重大问题上却做得很少。本文论述了重新评价电能的公认作用的必要性。电力不应该被看作纯粹的“物质变成能量”。一些与电力有关的公共问题,如电磁场问题、发电对环境的影响、工作场所的自动化和有毒物质的引入,都被忽视了,或者只是作为一个小问题出现。本文从具体的社会和文化角度调查了电能使用的不同方面的文献,并认为有必要修改确定社区电能需求的公认方法。
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引用次数: 1
Comparative study of two iterative schemes applied to decoupled load flow methods 解耦潮流法中两种迭代方法的比较研究
L. Roy, T. A. Mohammed
This paper presents an assessment of the standard successive iterative scheme and strict successive iterative scheme as applied to the fast decoupled load flow, general-purpose version of the fast decoupled load flow, reverse Stott model and fast super decoupled load flow methods. The numerical investigations are carried out on the transmission and distribution systems. Digital simulation studies indicate that there is marginal advantage using the strict successive iterative scheme on the transmission systems. On the distribution systems, the strict successive iterative scheme performs much better. Networks which can not be solved using the standard successive iterative scheme can be solved using the strict successive iterative scheme. The convergence behavior in the case of the fast super decoupled load flow is dependent upon the rotation angle.
本文对快速解耦潮流的标准逐次迭代方案和严格逐次迭代方案、快速解耦潮流的通用版本、逆Stott模型和快速超解耦潮流方法进行了评价。对输配电系统进行了数值研究。数字仿真研究表明,采用严格逐次迭代方案对传输系统具有边际优势。在分配系统中,严格逐次迭代方案的性能要好得多。不能用标准逐次迭代格式求解的网络可以用严格逐次迭代格式求解。快速超解耦潮流下的收敛特性与旋转角度有关。
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引用次数: 1
The technical efficiency of developing country electricity systems 发展中国家电力系统的技术效率
J. Whiteman
The objective of this paper is to identify best practice performance and to measure the technical efficiency of 85 developing country electricity systems. Technical efficiency is measured as the ratio of the gross output of electricity sectors to their output at best practice. Technical efficiency estimates are standardised for differences between systems in average consumption of electricity per customer, inefficiencies due to nonoptimal scale and input congestion. The resulting estimates of technical efficiency measure the scope for management initiated improvements in labour and capital productivity by forming benchmarking partnerships and emulating the best practices of other systems.
本文的目的是确定最佳实践绩效并衡量85个发展中国家电力系统的技术效率。技术效率是以电力部门总产出与其最佳实践产出之比来衡量的。技术效率估计是根据系统之间的差异进行标准化的,这些差异包括每个客户的平均用电量、由于非最佳规模和投入拥挤而导致的低效率。由此产生的技术效率估计,通过形成基准伙伴关系和模仿其他系统的最佳做法,衡量管理方面发起的劳动和资本生产率改进的范围。
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引用次数: 2
Statistical standards and pollution estimation of harmonics in a power system 电力系统谐波的统计标准与污染评估
M.T. Chen, H. Chu, J. Lue
Harmonic distortion has always been a critical issue existing in an electrical power feeder of a utility or customer, and many harmonic administration standards have been defined. As far as these are concerned, the immediately measured harmonics are always used to judge whether a user is illegal in harmonic limits or not. However, harmonics are changeable with load condition and system structure, therefore, when the measured data is out of order, the illegal judgement may not be objective and it may be easy to resolve the dispute. So we must exclude those bad data, and statistical harmonic limits must be reasonable. In this paper, a bad data detecting technique is used to process the measured harmonic data, as well as a statistical harmonic limit standard being recommended by considering the periodic characteristics of harmonics. A developed microcomputer-based instrument system is also used to estimate the harmonic pollution of a high voltage feeder by the statistical harmonics limit standard and the bad data processing algorithms.
谐波失真一直是公用事业或用户供电系统中存在的一个重要问题,目前已经制定了许多谐波管理标准。就这些而言,立即测量的谐波通常用于判断用户是否违反谐波限制。然而,谐波随负载状况和系统结构的变化而变化,因此,当实测数据出现故障时,非法判断可能不客观,也容易造成纠纷的解决。因此,我们必须排除这些不良数据,并且统计调和极限必须是合理的。本文采用不良数据检测技术对实测谐波数据进行处理,并考虑谐波的周期性特性,提出谐波统计极限标准。采用统计谐波限值标准和不良数据处理算法,开发了基于微机的高压馈线谐波污染检测系统。
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引用次数: 0
A time series approach to short term load forecasting through evolutionary programming structures 基于演化规划结构的短期负荷预测的时间序列方法
Chao-Ming Huang, Hong-Tzer Yang
Multiple local minimum points often exist on the surface of forecasting error function of the time series models. Solutions of the traditional gradient search based identification technique, therefore, may stall at the local optimal points which lead to an inadequate model. By simulating natural evolutionary process, the evolutionary programming (EP) algorithm offers the capability of converging towards the global extremum of a complex error surface. The EP based load forecasting algorithm is developed to identify the autoregression moving average (ARMA) model for one week ahead hourly load demand forecasts. Numerical tests indicate the proposed EP approach provides a method to simultaneously estimate the appropriate order and parameter values of the ARMA model for diverse types of load data. Comparisons of forecasting errors are made to the traditional identification techniques used by SAS statistical commercial package.
时间序列模型的预测误差函数表面往往存在多个局部极小点。因此,传统的基于梯度搜索的识别技术的解可能会在局部最优点处停滞,从而导致模型不充分。进化规划算法通过模拟自然进化过程,具有向复杂误差曲面的全局极值收敛的能力。提出了一种基于EP的负荷预测算法,用于确定一周前每小时负荷需求预测的自回归移动平均(ARMA)模型。数值试验表明,该方法提供了一种同时估计不同负荷类型下ARMA模型的合适阶数和参数值的方法。将预测误差与SAS统计商业软件包使用的传统识别技术进行了比较。
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引用次数: 12
Short term daily average and peak load predications using a hybrid intelligent approach 使用混合智能方法的短期日平均和峰值负荷预测
P. Dash, H. P. Satpathy, S. Rahman
A fuzzy neural network based on the multilayer perceptron and capable of fuzzy classification of patterns is presented in this paper. A hybrid learning algorithm consisting of unsupervised and supervised learning phases is used for training the network. In the supervised learning phase linear Kalman filter equations are used for tuning the weights and membership functions. Extensive tests have been performed on a two-year-utility data for generation of peak and average load profiles for 24- and 168-hours ahead time frames and results for winter and summer months are given to confirm the effectiveness of the new approach.
本文提出了一种基于多层感知器的模糊神经网络,能够对模式进行模糊分类。采用一种由无监督学习阶段和有监督学习阶段组成的混合学习算法对网络进行训练。在监督学习阶段,使用线性卡尔曼滤波方程来调整权重和隶属函数。对两年的公用事业数据进行了广泛的测试,以生成提前24小时和168小时的峰值和平均负荷概况,并给出了冬季和夏季月份的结果,以确认新方法的有效性。
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引用次数: 3
Statistical distribution of customer load profiles 客户负载概况的统计分布
A. Seppala
The electric utilities need data from customer loads for many purposes. Load research has been activity to collect load data, analyse it and further distribute the results for management and engineers in an electric utility. The Finnish load research project has developed customer class hourly load models for one year with average load values and standard deviation. In many cases in distribution planning or pricing applications the confidence intervals must be approximated for distinct customers or small groups of customers. The simple use of normal distribution will not give reliable estimations for confidence intervals of one customer. Therefore more information is needed from distributions of customer load profiles. The Finnish load research project has studied the disaggregated load distributions of different customer categories. In this report the study of distribution functions of customer load profiles is reported and some results explained. Also some background theory is reviewed.
电力公司出于多种目的需要客户负荷的数据。负荷研究是一项收集、分析负荷数据并将结果进一步分发给电力公司管理层和工程师的活动。芬兰负荷研究项目开发了一年的客户级小时负荷模型,具有平均负荷值和标准差。在许多情况下,在分销计划或定价应用中,置信区间必须近似于不同的客户或小客户群。单纯使用正态分布不能对单个客户的置信区间给出可靠的估计。因此,需要从客户负载配置文件的分布中获取更多信息。芬兰负荷研究项目研究了不同客户类别的分类负荷分布。本文报道了客户负荷分布函数的研究,并对一些结果进行了说明。并对相关理论背景进行了评述。
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引用次数: 55
A new reduced order model of induction motors 一种新的感应电动机降阶模型
P. Dahono, Qamaruzzaman
A new reduced order model of induction motors is proposed in this paper. Instead of neglecting the stator transients as in the case of standard reduced order model, the new model is derived by neglecting the transients in the leakage inductances. It is found that the new model produces better results than the standard reduced order model and, in some cases, the results are almost the same as that of the full order model.
提出了一种新的感应电动机降阶模型。该模型不像标准降阶模型那样忽略定子的瞬态,而是通过忽略漏电感中的瞬态来推导。结果表明,新模型比标准降阶模型得到了更好的结果,在某些情况下,其结果与全阶模型几乎相同。
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引用次数: 0
Calculation of transmission system losses for the Taiwan Power Company by the artificial neural network with time decayed weight 基于时间衰减权值的人工神经网络计算台湾电力公司输电系统损耗
W. Chu, Bin Chen, Pao-Chang Mo
For energy conservation and improvement of power system operation efficiency, how to reduce the transmission system losses becomes an important topic of grave concern. To understand the cause, and to evaluate the amount, of the losses are the prior steps to diminish them. To simplify the evaluation procedure without losing too much accuracy, this paper adopts the artificial neural network, which is a model free network, to analyze the transmission system losses. As the artificial neural network with time decayed weight has the capability of learning, memorizing, and forgetting, it is more suitable for a power system with gradually changing characteristics. By using this artificial neural network, the estimation of transmission system losses will be more precise. In this paper, comparison is made between the results of artificial neural network analysis and polynomial loss equations analysis.
为了节能和提高电力系统运行效率,如何降低输电系统损耗成为人们高度关注的重要课题。了解损失的原因,评估损失的数额,是减少损失的首要步骤。为了简化评估过程而不损失太多的准确性,本文采用无模型网络人工神经网络对输电系统的损失进行分析。由于具有时间衰减权值的人工神经网络具有学习、记忆和遗忘的能力,因此更适合于具有逐渐变化特性的电力系统。利用该人工神经网络可以更精确地估计输电系统的损耗。本文将人工神经网络分析结果与多项式损失方程分析结果进行了比较。
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引用次数: 2
Design and applications of a flicker voltage generator 闪变电压发生器的设计与应用
Wei-Nan Chang, Chi-Jui Wu
In this paper, a 200 W flicker voltage generator is made by using microcomputers and linear amplification circuits. The modulation amplitudes and frequencies based on the UIE /spl Delta/V/sub 10/ evaluation can be arbitrarily assigned by software with high accuracy. The flicker voltage signals measured at the customer side also can be re-generated. Some applications such as evaluating the effects of flicker voltage on incandescent and compact fluorescent lamps (CFLs), are also made. From experimental tests by use of the flicker voltage generator, the properties of some compact fluorescent lamps and incandescent lamps are compared. Those properties describe the relation between input voltage variation and output lux of lamps, such that there is direct description of influences of flicker voltages on lamps.
本文利用微型计算机和线性放大电路制作了一个200w的闪变电压发生器。基于UIE /spl Delta/V/sub - 10/评估的调制幅度和频率可由软件任意赋值,精度高。在客户端测量的闪烁电压信号也可以重新生成。一些应用,如评估闪烁电压对白炽灯和紧凑型荧光灯(cfl)的影响,也做了。通过闪烁电压发生器的实验测试,比较了几种紧凑型荧光灯和白炽灯的性能。这些特性描述了输入电压变化与灯具输出流通量之间的关系,从而直接描述了闪烁电压对灯具的影响。
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引用次数: 3
期刊
Proceedings 1995 International Conference on Energy Management and Power Delivery EMPD '95
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