TY - JOUR
T1 - Power smoothing control of photovoltaic generation systems using a difference vector method
AU - Takahashi, Akiko
AU - Makino, Tomohisa
AU - Imai, Jun
AU - Funabiki, Shigeyuki
N1 - Publisher Copyright:
© 2016 The Institute of Electrical Engineers of Japan.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - This paper proposes a novel method for the short-term prediction of photovoltaic generation (PV) power using difference vectors. The predicted data are used for the smoothing control of PV power fluctuation with the moving average method in order to reduce the capacity of the energy storage device. Three smoothing control methods are discussed in this paper: a persistence method, a local fuzzy reconstruction method, and the proposed method for prediction, respectively. The results of the smoothing control methods are evaluated in terms of the prediction error, reduction rate of fluctuation, power in load frequency control (LFC) band, and capacity of the energy storage device. The proposed method has the lowest prediction error among the three methods. Furthermore, the smoothing control scheme with the function of managing the stored energy is advantageous in that it can reduce the capacity of the energy storage device by approximately 44% compared to a smoothing control scheme without the abovementioned function.
AB - This paper proposes a novel method for the short-term prediction of photovoltaic generation (PV) power using difference vectors. The predicted data are used for the smoothing control of PV power fluctuation with the moving average method in order to reduce the capacity of the energy storage device. Three smoothing control methods are discussed in this paper: a persistence method, a local fuzzy reconstruction method, and the proposed method for prediction, respectively. The results of the smoothing control methods are evaluated in terms of the prediction error, reduction rate of fluctuation, power in load frequency control (LFC) band, and capacity of the energy storage device. The proposed method has the lowest prediction error among the three methods. Furthermore, the smoothing control scheme with the function of managing the stored energy is advantageous in that it can reduce the capacity of the energy storage device by approximately 44% compared to a smoothing control scheme without the abovementioned function.
KW - Chaos short-term prediction
KW - Difference vector
KW - Photovoltaic generation
KW - Power smoothing systems
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U2 - 10.1541/ieejpes.136.268
DO - 10.1541/ieejpes.136.268
M3 - Article
AN - SCOPUS:84960453047
VL - 136
SP - 268
EP - 274
JO - IEEJ Transactions on Power and Energy
JF - IEEJ Transactions on Power and Energy
SN - 0385-4213
IS - 3
ER -