DocumentCode :
56291
Title :
Optimal Voltage Control Using Inverters Interfaced With PV Systems Considering Forecast Error in a Distribution System
Author :
Ziadi, Z. ; Oshiro, Masato ; Senjyu, Tomonobu ; Yona, Atsushi ; Urasaki, N. ; Funabashi, Toshihisa ; Chul-Hwan Kim
Author_Institution :
Dept. ofElectrical & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan
Volume :
5
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
682
Lastpage :
690
Abstract :
In recent years, distributed generation (DG) and renewable energy sources (RESs) have been attracting special attention in distribution systems. RESs such as photovoltaic (PV) systems are used as a source of green energy. However, a large amount of DGs causes voltage deviations beyond the statutory range in the distribution systems. This paper proposes a methodology for voltage control using the PV interfaced inverters and tap changing transformers. The proposed method uses a one-day schedule of voltage references for the control devices, which is determined by an optimization technique based on the forecast values of load demand and PV power generation. However, since the forecast value includes a forecast error, there is a possibility that the voltage control performance is affected. Thus, this paper introduces a replanning of the control reference schedule in order to reduce the forecast error impact on the control performance and its objectives.
Keywords :
distributed power generation; invertors; load forecasting; optimal control; optimisation; photovoltaic power systems; power generation control; power transformers; renewable energy sources; voltage control; PV interfaced inverters; control reference schedule; distributed generation; distribution system; forecast error impact; forecast values; green energy; load demand; optimal voltage control; optimization; photovoltaic power generation; photovoltaic systems; renewable energy sources; tap changing transformers; voltage references; Inverters; Optimal scheduling; Reactive power; Schedules; Voltage control; Weather forecasting; Distributed generation (DG); distribution system; forecast error; replanning; voltage control;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2013.2292598
Filename :
6709761
Link To Document :
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