Hokuriku Electrical Power Company 2 54

Toyama-shi, Japan

Hokuriku Electrical Power Company 2 54

Toyama-shi, Japan

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Taoka H.,University of Fukui | Matsuki J.,University of Fukui | Tomoda M.,University of Fukui | Hayashi Y.,Waseda University | And 2 more authors.
IEEJ Transactions on Power and Energy | Year: 2011

This paper presents a new method for estimating unknown parameters of dynamic load model as a parallel composite of a constant impedance load and an induction motor behind a series constant reactance. An adequate dynamic load model is essential for evaluating power system stability, and this model can represent the behavior of actual load by using appropriate parameters. However, the problem of this model is that a lot of parameters are necessary and it is not easy to estimate a lot of unknown parameters. We propose an estimating method based on Particle Swarm Optimization (PSO) which is a non-linear optimization method by using the data of voltage, active power and reactive power measured at voltage sag. © 2011 The Institute of Electrical Engineers of Japan.


Nagoya H.,Hokuriku Electrical Power Company 2 54 | Saji K.,ITOCHU Techno Solutions Corporation | Aoki I.,ITOCHU Techno Solutions Corporation | Tanikawa R.,ITOCHU Techno Solutions Corporation | And 3 more authors.
Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi) | Year: 2015

To assure power system stability when variable photovoltaic (PV) power generation is deployed on a large scale, accurate irradiance forecasting will be important in the near future. A substantial amount of PVs will be generating power at numerous locations in the power service area, and it will be necessary to predict the total PV output for supply/demand balancing control. Therefore, irradiance forecasting accuracy should be verified using the total irradiance at numbers of sites equivalent to areas with large-scale PV deployment. This paper reports an investigation of the accuracy of an approach to area total irradiance prediction based on regional numerical weather prediction data from the Japan Meteorological Agency. The forecast area total irradiance is compared to the assumed total area irradiance for numbers of sites equivalent to large-scale PV deployment. © 2015 Wiley Periodicals, Inc.

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