Robust Energy Management for Uncertain Microgrid Using Modified Grey Wolf Optimizer

被引：0

作者：

Cao, Yuhao ^{[1
]}

Chen, Tengpeng ^{[1
]}

Sun, Lu ^{[2
]}

Sun, Yuhao ^{[3
,4
]}

Wei, Zhongbao ^{[5
]}

Amaratunga, Gehan A. J. ^{[6
]}

机构：

[1] Xiamen Univ, Dept Instrumental & Elect Engn, Xiamen, Peoples R China

[2] Nanyang Technol Univ, Expt Power Grid Ctr EPGC, Singapore, Singapore

[3] CTC Intelligence Shenzhen Tech Co Ltd, Shenzhen, Peoples R China

[4] Yunnan Univ, Natl Ctr Int Res Photoelect & Energy Mat, Kunming, Peoples R China

[5] Beijing Inst Technol, Sch Mech Engn, Beijing, Peoples R China

[6] Univ Cambridge, Dept Engn, Cambridge CB3 0FA, England

来源：

PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020) | 2020年

基金：

中国国家自然科学基金;

关键词：

robust optimization; energy management; uncertainty; modified grey wolf optimizer; microgrid; SYSTEM;

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：

Uncertainties of renewable energy sources (RFS) power generation and load demand have detrimental effects on the microgrid operation. In this paper, a robust optimization approach based on modified grey wolf optimizer is proposed to determine the optimal energy management for a typical microgrid with regard to uncertainties. Furthermore, the influence of uncertainty budget for RES power generation and load demand on operation cost and pollutant gas emissions are studied. Simulation results show a good reduction both in operation cost and pollution emissions as well verify the effectiveness of our proposed approach.

引用

页码：1515 / 1519

页数：5

共 16 条

[1] Joint optimization of day-ahead and uncertain near real-time operation of microgrids [J].

Aboli, Reza ;

Ramezani, Maryam ;

Falaghi, Hamid .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 107 :34-46

[2] An advanced real time energy management system for microgrids [J].

Elsied, Moataz ;

Oukaour, Amrane ;

Youssef, Tarek ;

Gualous, Hamid ;

Mohammed, Osama .

ENERGY, 2016, 114 :742-752

[3] A novel stochastic energy management of a microgrid with various types of distributed energy resources in presence of demand response programs [J].

Farsangi, Alireza SoltaniNejad ;

Hadayeghparast, Shahrzad ;

Mehdinejad, Mehdi ;

Shayanfar, Heidarali .

ENERGY, 2018, 160 :257-274

[4] An efficient modified grey wolf optimizer with Levy flight for optimization tasks [J].

Heidari, Ali Asghar ;

Pahlavani, Parham .

APPLIED SOFT COMPUTING, 2017, 60 :115-134

[5] Toward Optimal Energy Management of Microgrids via Robust Two-Stage Optimization [J].

Hu, Wuhua ;

Wang, Ping ;

Gooi, Hoay Beng .

IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) :1161-1174

[6] Mixed-Integer-Linear- Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification [J].

Luna, Adriana C. ;

Diaz, Nelson L. ;

Graells, Moises ;

Vasquez, Juan C. ;

Guerrero, Josep M. .

IEEE TRANSACTIONS ON POWER ELECTRONICS, 2017, 32 (04) :2769-2783

[7] A robust optimization method for energy management of CCHP microgrid [J].

Luo, Zhao ;

Gu, Wei ;

Wu, Zhi ;

Wang, Zhihe ;

Tang, Yiyuan .

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (01) :132-144

[8] Grey Wolf Optimizer [J].

Mirjalili, Seyedali ;

Mirjalili, Seyed Mohammad ;

Lewis, Andrew .

ADVANCES IN ENGINEERING SOFTWARE, 2014, 69 :46-61

[9]

Moazzami M, 2018, 2018 3RD CONFERENCE ON SWARM INTELLIGENCE AND EVOLUTIONARY COMPUTATION (CSIEC2018), VOL 3, P64

[10] Expert energy management of a micro-grid considering wind energy uncertainty [J].

Motevasel, Mehdi ;

Seifi, Ali Reza .

ENERGY CONVERSION AND MANAGEMENT, 2014, 83 :58-72

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