[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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Comparative Analysis of Power Loses in Selected Measurement Devices 287 Table 4. (continued) L1 -0.57 4.39 4.42 L3PLC 12537801 PLC:IEC61334-5-1 L2 -0.52 4.33 4.36 L3 -0.61 4.26 4.30 L1 -0.54 4.35 4.38 L3PLC 12585090 PLC:IEC61334-5-1 L2 -0.46 4.11 4.14 L3 -0.56 4.08 4.12 L1 0.77 -0.46 0.90 P3 71101674 - L2 0.76 -0.45 0.88 L3 0.77 -0.46 0.90 L1 0.82 -0.50 0.96 P3 71101678 - L2 0.81 -0.50 0.95 L3 0.77 -0.45 0.90 L1 0.77 -0.45 0.90 P3 71105222 - L2 0.76 -0.46 0.89 L3 0.79 -0.51 0.94 (...) - power loss values for a meter with a disconnected GSM/GPRS modem. 4 Inductive Meter Measurements Measurements of energy losses in 1-phase inductive meters were conducted in a circuit whose scheme is shown in fig. 2. In tables 5 and 6 compared are the typical and maximum power loss values for 1-phase inductive meters. Measurements of energy losses in 3-phase inductive meters were conducted in a circuit whose scheme is shown in fig. 3. In tables 7 and 8 compared are the typical and maximum power loss values obtained for 3-phase inductive meters. Inductive meters were examined in order to compare power loss results obtained for meters with results characteristic for electronic meters used in smart grid systems. Such comparison is expected to answer the question whether or not electronic meters, in particular meters with communication modems, are characterized by greater energy demand required for their operation. 4.1 Results from 1-Phase Inductive Meter Measurements Figure 5 shows fragments of measurement series registered to determine the typical and maximum power loss values for 1-phase inductive meter. Not unlike the electronic meters, the number of all samples in the measurement series registered to determine the typical and maximum power loss values were significantly greater than what is presented in figure 5.
288 A. Nawrat et al. S, VA 4,510 4,500 4,490 4,480 4,470 4,460 4,450 4,440 4,430 4,420 4,410 Inductive meter without modem 0 10 20 30 40 50 samples Fig. 5. Fragment of measurement series registered for a 1-phase inductive meter The results presented below account for: real power P1h, reactive power Q1h and apparent power S1h, obtained for the basic harmonic of the measured current. Table 5. Comparison of typical power loss values for 1-phase inductive meters 1-phase inductive meters Power loss (typical values) Meter type Number P 1h , W Q 1h , Var S 1h , VA PI1 1 1.22 -4.84 4.99 PI1 2 1.19 -4.73 4.87 PI1 3 1.12 -4.32 4.46 Table 6. Comparison of maximum power loss values for 1-phase inductive meters 1-phase inductive meters Power loss (maximum values) Meter type Number P 1h , W Q 1h , Var S 1h , VA PI1 1 1.25 -4.88 5.04 PI1 2 1.23 -4.77 4.93 PI1 3 1.15 -4.38 4.53 4.2 Results from 3-Phase Inductive Meter Measurements The results presented below account for: real power P1h, reactive power Q1h and apparent power S1h of each phase, obtained for the basic harmonic of currents measured consecutively in all three input voltage circuits of a 3-phase supply meter.
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Studies in Computational Intelligen
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Aleksander Nawrat · Zygmunt Kuś E
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“In God We Trust, All others we o
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VIII Preface valuable information i
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Contents Part I: Design of Object D
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Contents XIII Technology Developmen
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XVI List of Contributors Adam Czorn
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XVIII List of Contributors Henryk M
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XX List of Contributors Józef Wron
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2 Design of Object Detection, Recog
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4 A. Babiarz et al. 1 Introduction
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6 A. Babiarz et al. The description
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12 A. Babiarz et al. a) b) Fig. 7.
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14 A. Babiarz et al. • The camera
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Recognition and Location of Objects
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118 D. Bereska et al. Fig. 2. Image
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120 D. Bereska et al. Fig. 4. Ortho
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Omnidirectional Video Acquisition D
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Part III Design of Vision Based Con
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Vision System for Group of Mobile R
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186 D. Bereska et al. 4.1.3 Open-Lo
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188 D. Bereska et al. Fig. 16. Comp
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Probabilistic Approach to Planning
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206 Practical Applications of Class
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344 Conclusions Control algorithms
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[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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