Electric Vehicle Fleet Integration in a Virtual Power Plant With Large-Scale Wind Power

被引：27

作者：

Wang, Wei ^{[1
]}

Chen, Peng ^{[2
]}

Zeng, Deliang ^{[3
]}

Liu, Jizhen ^{[1
]}

机构：

[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China

[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

[3] North China Elect Power Univ, Key Lab New Technol & Syst Measuring & Control In, Beijing 102206, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2020年 / 56卷 / 05期

关键词：

Wind power generation; Bandwidth; Optimization; Fluctuations; Wavelet packets; Batteries; Electric vehicle (EV); wind power; virtual power plant (VPP); ultracapacitor (UC); coordinated control; ENERGY-STORAGE; DEMAND RESPONSE; MODEL; OPTIMIZATION; STRATEGY; NETWORK; FIELDS;

D O I：

10.1109/TIA.2020.2993529

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This article puts forward to build a novel virtual power plant (VPP) with electric vehicle (EV) fleet integration to smooth wind power output. First, the VPP framework and coordination mode are designed. Second, a novel configuration and optimization approach for storage size is developed by using wavelet packet decomposition (WPD) and particle swarm optimization algorithms, among which the exact mathematical formulation for the optimum WPD decomposed layers is first presented. Next, a coordinated control strategy for EV fleet and ultracapacitor is proposed to optimize their power output and prolong the battery lifetime by raising the depth of discharge and maximizing energy distribution of EV fleet. The results prove the effectiveness of the proposed approach.

引用

页码：5924 / 5931

页数：8

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