A Study on Collaborative Operation Methods between New Energy Type Dispersed Power Supply System and SMES by Modified Euler Type Moving Average Prediction Mode
-
- Monai Toshiharu
- Graduated Course of Electrical Engineering and Electronics, Kogakuin University
-
- Takano Ichiro
- Dept. of Electrical Engineering, Kogakuin University
-
- Nishikawa Hisao
- Dept. of Electrical Engineering, Tokyo Denki University
-
- Sawada Yoshio
- Dept. of Electrical Engineering, Kogakuin University
Bibliographic Information
- Other Title
-
- 修正Euler型移動平均予測モデルによる新エネルギー型分散電源とSMESの協調運用手法に関する考察
- シュウセイ Eulerガタ イドウ ヘイキン ヨソク モデル ニ ヨル シン エネルギーガタ ブンサン デンゲン ト SMES ノ キョウチョウ ウンヨウ シュホウ ニ カンスル コウサツ
Search this article
Abstract
In this paper, the modified Euler type Moving Average Prediction (EMAP) model is proposed in order to operate a dispersed power supply system using new energy in autonomous mode. Furthermore, EMAP model is applied to operate a new type dispersed power supply system consisting of a large scale photovoltaic system (PV), a fuel cell (FC) as well as a small scale superconducting magnetic energy storage system (SMES). This distributed power supply system can meet the multi-quality electric power requirements of customers, and ensures voltage stability and UPS (Uninterruptible Power Supply) function as well. Each sub-system of this distributed power supply contributes to the above-mentioned system performance with its own excellent characteristics. Moreover, response characteristics of this system are confirmed with simulation by software PSIM, and, under collaborative operation methods by EMAP model, the required capacity of SMES to compensate the fluctuation of both PV output and load demand is examined by the simulation using software MATLAB/Simulink.
Journal
-
- IEEJ Transactions on Power and Energy
-
IEEJ Transactions on Power and Energy 123 (4), 528-538, 2003
The Institute of Electrical Engineers of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282679575112704
-
- NII Article ID
- 130000081206
-
- NII Book ID
- AN10136334
-
- ISSN
- 13488147
- 03854213
-
- NDL BIB ID
- 6530201
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed