Short-Term Stochastic Modeling of Virtual Power Plants with Inclusion of Wind, Solar and Tidal Generation and Energy Storage

被引：0
作者：
Shokrani, Hamidreza [1 ]
Jonsdottir, Cuorun Margret [1 ]
Milano, Federico [1 ]
机构：
[1] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin, Ireland
来源：
2020 20TH IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2020 4TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE) | 2020年
基金：
爱尔兰科学基金会;
关键词：
Energy transition; solar generation; stochastic modeling; tidal generation; virtual power plant; wind generation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper provides a systematic comparison of three prominent Renewable Energy Sources (RESs) namely, wind, solar and tidal in regards to short-term volatility and their impact on the dynamic behavior of power systems. A Virtual Power Plant (VPP) model obtained through the aggregation of wind, solar and tidal generation is proposed. The effect of frequency control provided by wind/tidal turbine frequency controllers and an Energy Storage System (ESS) embedded in such a VPP are also considered. Simulation results indicate that the VPP with ESS is able to increase the reliability of RESs and effectively reduce short-term frequency fluctuations of the grid.
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页数：6
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