计算 ZIP 和指数负荷模型参数的经验

IF 0.8 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Yiqi Zhang, Yuan Liao, Gaurav Yadav
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引用次数: 0

摘要

摘要 为减少温室气体排放,实现电力行业的可持续发展,提高效率和节约能源是找到合理解决方案的关键。通过降低电压(CVR)来节约能源就是这样一种方案。要实施有效的 CVR 计划,负荷模型对于确定合适的馈线和实施 CVR 计划的方法至关重要。指数负荷模型和多项式负荷模型是最广泛采用的模型。多项式负载模型通常被称为 ZIP(恒定阻抗、电流和功率)模型,因其能够表示应用电压和功耗之间的关系而尤为突出。本文揭示了常用 ZIP 负载模型估计方法的局限性,并强调了使用适当测量样本和了解负载真实性质的重要性。两种不同的 ZIP 负载模型,即常规 ZIP (RegZIP) 模型和非传统 ZIP (NTZIP) 模型,已被用于 ZIP 参数估计。RegZIP 负载模型在电压升高时消耗相同或更多的功率,而 NTZIP 模型在电压升高时消耗相同或更少的功率。需要强调的是,RegZIP 是现有的负载模型,而 NTZIP 是本研究为比较目的而创建的人工负载模型。本文的目的不是提出任何新的负载模型,而是研究选择错误模型的影响以及电压和功率数据测量误差的影响。研究结果表明,对于某些测量数据,两种不同的模型可以很好地拟合相同的测量数据。研究结果表明,简单地使用某些方法,如使用未过滤的实时测量数据估算负载模型参数的优化方法,可能会产生误导性和不可靠的结果。错误的负荷模型必然导致错误的 CVR 评估。确定正确的测量样本(在导致电压大幅变化的自然或阶段性事件中获得)对于计算负荷参数和确保所得结果的合理性至关重要。准确的负荷参数对于评估 CVR 程序的有效性非常重要,并将确保使用负荷模型的电力系统分析应用程序能够提供可靠的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experiences about calculating ZIP and exponential load model parameters
Abstract To reduce greenhouse emission and achieve sustainability in the electric power industry, improved efficiency and energy conservation are key to finding a sound solution. Energy conservation through voltage reduction (CVR) is one such program. To implement effective CVR programs, load models are of utmost importance in determining proper feeders and methods to implement the CVR programs. Exponential and polynomial load models stand out as the most widely adopted models. The polynomial load model, often referred to as the ZIP (constant impedance, current and power) model, is especially notable for its ability to represent the relationship between the applied voltage and power consumption. This paper sheds light on the limitations of commonly used ZIP load model estimation methods and highlights the significance of using ap-propriate measurement samples and understanding the true nature of the load. Two distinct ZIP load models, i.e., the regular ZIP (RegZIP) and the Non-traditional ZIP (NTZIP) models, have been used for ZIP parameter estimation. The RegZIP load model consumes equal or more power when voltage increases, while the NTZIP model consumes equal or less power when voltage increases. It is emphasized that the RegZIP is an existing load model and the NTZIP is an artificial load model this research created for comparison purposes. The intention of this paper is not to propose any new load model, but to investigate the implications of choosing the wrong model and the impacts of measurement errors of voltage and power data. The research has shown that the two different models can fit the same measurement data equally well for some measured data. The results have demonstrated that simply using certain methods such as the optimization method for estimating load model parameters using unfiltered real time measurements may yield misleading and unreliable results. Wrong load models will inevitably lead to wrong CVR assessment. Identifying the correct measurement samples, obtained during natural or staged events causing substantial voltage variations, is critically important in calculating load parameters and ensure the soundness of the obtained results. The accurate load parameters will be important in the assessment of CVR program effectiveness and will ensure that power system analysis applications that utilize the load models will provide reliable results.
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来源期刊
International Journal of Emerging Electric Power Systems
International Journal of Emerging Electric Power Systems ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
3.00
自引率
10.00%
发文量
63
期刊介绍: International Journal of Emerging Electric Power Systems (IJEEPS) publishes significant research and scholarship related to latest and up-and-coming developments in power systems. The mandate of the journal is to assemble high quality papers from the recent research and development efforts in new technologies and techniques for generation, transmission, distribution and utilization of electric power. Topics The range of topics includes: electric power generation sources integration of unconventional sources into existing power systems generation planning and control new technologies and techniques for power transmission, distribution, protection, control and measurement power system analysis, economics, operation and stability deregulated power systems power system communication metering technologies demand-side management industrial electric power distribution and utilization systems.
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