Time-Varying Stochastic Assessment of Conservation Voltage Reduction Based on Load Modeling

被引:72
作者
Wang, Zhaoyu [1 ]
Wang, Jianhui [2 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Argonne Natl Lab, Lemont, IL 60439 USA
关键词
Conservation voltage reduction; Kolmogorov-Smirnov (K-S) test; load model identification; recursive least square; stochastic modeling; ENERGY; CVR;
D O I
10.1109/TPWRS.2014.2304641
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a time-varying stochastic technique to assess conservation voltage reduction (CVR) effects based on load modeling. A time-varying exponential load model is developed to represent voltage dependences of loads. The recursive least square (RLS) method is applied to identify model parameters in a recursive way. CVR factors can be calculated using the identified model parameters. The time-varying stochastic model for CVR effects can then be constructed by the Kolmogorov-Smirnov (K-S) test. The proposed CVR assessment method is applied to one-year measurement data from a utility company. The calculated CVR factors are verified by a Euclidian distance-based comparison method. Stochastic models of CVR effects in each time window are constructed. Compared with previous efforts on assessing CVR effects, the proposed method does not require control groups or assumptions of linear relationships between the load and its impact factors. The probabilistic nature of CVR effects is also fully considered.
引用
收藏
页码:2321 / 2328
页数:8
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