智能電能表有功電能動態測量的SDPA算法

陳景霞; 王學偉; 朱孟

doi:10.13374/j.issn2095-9389.2018.12.012

智能電能表有功電能動態測量的SDPA算法

doi: 10.13374/j.issn2095-9389.2018.12.012

陳景霞^1,2,
王學偉^1, ,,
朱孟¹

1) 北京化工大學信息科學與技術學院, 北京 100029
2) 北京聯合大學應用科技學院, 北京 100101

基金項目:

國家自然科學基金資助項目（51577006）

詳細信息

中圖分類號: TG142.71
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出版歷程
- 收稿日期: 2018-03-07

SDPA algorithm for dynamic active energy metering of a smart electricity meter

1) College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China
2) Applied Science and Technology College, Beijing Union University, Beijing 100101, China

摘要

摘要: 風能、太陽能等間歇式能源的引入和工業生產中大功率動態負載的增加，使得智能電網電力負荷越來越多呈現出大范圍隨機頻繁波動的特點.動態負荷的增加對智能電能表的有功電能測量帶來新挑戰.傳統的測量算法是針對穩態負荷而提出，因此無法解決智能電能表動態計量性能的改善問題.本文在傳統MA （moving average）算法的基礎上提出一種SDPA （segmented dot product accumulation）動態有功電能測量算法，該算法可在一定程度上減小動態功率條件下的測量誤差.首先，分別討論了傳統MA和ⅡR （infinite impulse response）濾波器算法的動態響應速度和動態電能誤差特性，指出兩種算法對動態輸入信號測量的局限性，并理論分析了影響各自動態計量性能的因素.以此為基礎，提出智能電能表有功電能動態測量的SDPA算法，通過將待測的動態功率信號按周期截短、分段執行點積運算、并累加求和的方式實現動態測量.另外，通過按周期抽取的算法實現方式可以大大減少存儲空間、提高運行速度.理論和仿真結果表明，與傳統MA和ⅡR濾波器相比，SDPA算法在動態響應時間為一個基波周期的前提下，動態電能測量可達到較低誤差水平.
- 智能電能表 /
- 動態測量 /
- 動態有功電能 /
- 動態有功功率 /
- 動態響應速度 /
- 動態誤差特性
Abstract: The power load of the smart grid fluctuates increasingly high and rapidly because of the introduction of intermittent energy, such as wind energy and solar energy. As a result, the increase of the randomly fluctuating load in the smart grid brings new challenges to the active power measurement of smart electricity meters. However, the installed power meter and the standard electricity meter are designed for a steady input signal. The traditional MA (moving average) and ⅡR (infinite impulse response) measurement algorithms are proposed for the steady situation and are thus not suitable to address the dynamic error testing and metering problems. Moreover, although some harmonic experiments have been performed that provide an overview of domestic and internal standards of electricity energy meter, there is a lack dynamic characteristics in them. Thus, it is of great theoretical significance and application value to study the dynamic measurement characteristics of the existing smart electricity meters and propose an effective dynamic measurement to improve the metering dynamic performance. To reduce the measurement error of a smart electricity meter under dynamic load power conditions, a SDPA algorithm for dynamic active energy measurement was proposed in this work. First, the dynamic response speed and dynamic error characteristics of active power of traditional MA and ⅡR low pass filter algorithm were deduced. Next, the limitations of the two algorithms for dynamic input signal were highlighted, and the influence factors were determined by theoretical analysis. Based on these results, a SDPA algorithm for dynamic measurement of smart electricity meter was proposed. The new algorithm was implemented by truncating periodically, executing piecewise point product operation and summing up the active power. In addition, the implementation method by decimation can save storage space and improve the operation speed. The theoretical and simulation results show that the SDPA algorithm can reach a lower error level in one period of response time.
- smart electricity meter /
- dynamic measurement /
- dynamic active energy /
- dynamic active power /
- dynamic response speed /
- dynamic error characteristics

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參考文獻(7)

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