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成果報告書詳細
管理番号20170000000402
タイトル*平成28年度中間年報 「電力系統出力変動対応技術研究開発事業 風力発電予測・制御高度化/予測技術系統運用シュミレーション」
公開日2017/6/7
報告書年度2016 - 2016
委託先名国立大学法人東京大学 学校法人早稲田大学 一般財団法人電力中央研究所 一般財団法人エネルギー総合工学研究所  東京電力ホールディングス株式会社 東京電力パワーグリッド株式会社 株式会社東光高岳 伊藤忠テクノソリューションズ株式会社
プロジェクト番号P14018
部署名スマートコミュニティ部
和文要約
英文要約Title: R&D Project on Grid Integration of Variable Renewable Energy:
Mitigation Technologies on Output Fluctuations of Renewable Energy Generations in Power Grid (FY 2014-FY 2018) Annual Report for FY 2016

R&D Item (I): Enhanced wind power forecast and control technology
I-(1) Monitoring system for wind power and weather:
We have developed a new monitoring system on 48 sites in the eastern Japan and collecting data.
I-(2) Ramp forecasting technology:
We have implemented a prototype on an online system. We have: Classified ramp events and constructed the quantitative index data base, Developed Pattern-WRF and analog ensemble bias correction, Data sampling strategy, Feature extraction framework, Mathematical methods for integrating multiple forecasts, And examined an evaluation method for forecasts.
We have achieved basis examinations of started improving controls for power generator outputs by using their short-term forecasts.
I-(3) Output fluctuation mitigation technologies with energy storage
Control algorithms for energy storage facility using forecast information were developed for two use cases; “fluctuation mitigation” and “scheduled generation”.
With regard to the fluctuation mitigation, required energy storage capacity is reduced to 25% with the developed algorithm compared with the conventional algorithm.
Regarding the scheduled generation, it was found that the accuracy of forecast information greatly affect required energy storage capacity.
Construction and characteristic test of the demonstration plants for three kinds of energy storage technologies have progressed.

R&D Item (II): Network operation simulation with forecast technology
II-(1) R&D on the supply and demand simulation system:
In order to maximize the usage of renewable energy source (RES), a theoretical basis of optimum weekly operation scheduling of power plants, energy storage systems, and tie-lines was studied. It is clarified that proper utilization of tie-line between control areas improves supply reliability.
The functions of adequacy assessment of flexibility and tie-line flow management are added into the prototype simulation system.
Details of models, constants, and parameters for simulations of eastern Japan power system were prepared and simulation cases were listed to study RES -related issues in the year 2030.
II-(2) Field demonstration:
The following was carried out based on the test scenario to demonstrate a total cost minimization of the target electric power system.
*Development of the EMS for the field test, and connected into SCADA, etc. by communication network based on security guidelines.
*Development of the RES output forecasting system, where the forecasting precision was improved by a numerical model, etc.
*Development of the power system model with the primary frequency control model of the diesel engine unit developed by the field test for simulating the frequency fluctuation.
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