Optimal scheduling for wind farms power generation based on partial information

Jian YU; Feng LIU; Peng LI; Yongduan SONG

doi:10.1109/ChiCC.2015.7261053

Optimal scheduling for wind farms power generation based on partial information

Jian YU
, Feng LIU
, Peng LI
, Yongduan SONG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

This paper aims to solve the coupled problem of wind farms modeling and wind power generation optimal scheduling. The salient features of the proposed method are as follows: First, the multi-agent model of wind farms power generation is obtained, which consider the influence among wind turbines. Second, the task is formulated as an optimization scheduling problem in terms of wind power generation. Third, the controller is designed by considering the partial system information, and solved based on the Forward & Backward Stochastic Different Equations (FBSDE) and adjoint equations. Numerical simulations are adopted to verify the proposed optimization method for partial information cases.

Original language	English
Title of host publication	Proceedings of the 34th Chinese Control Conference, CCC 2015
Editors	Qianchuan ZHAO, Shirong LIU
Publisher	IEEE
Pages	8941-8946
Number of pages	6
ISBN (Electronic)	9789881563897
DOIs	https://doi.org/10.1109/ChiCC.2015.7261053
Publication status	Published - Jul 2015
Externally published	Yes
Event	34th Chinese Control Conference, CCC 2015 - Hangzhou, China Duration: 28 Jul 2015 → 30 Jul 2015

Conference

Conference	34th Chinese Control Conference, CCC 2015
Country/Territory	China
City	Hangzhou
Period	28/07/15 → 30/07/15

Keywords

backward stochastic different equation
optimal scheduling
Partial information
synchronization
wind farms

Access to Document

10.1109/ChiCC.2015.7261053

Cite this

@inproceedings{104d28a1900443adb3152bf10d0e676b,

title = "Optimal scheduling for wind farms power generation based on partial information",

abstract = "This paper aims to solve the coupled problem of wind farms modeling and wind power generation optimal scheduling. The salient features of the proposed method are as follows: First, the multi-agent model of wind farms power generation is obtained, which consider the influence among wind turbines. Second, the task is formulated as an optimization scheduling problem in terms of wind power generation. Third, the controller is designed by considering the partial system information, and solved based on the Forward \& Backward Stochastic Different Equations (FBSDE) and adjoint equations. Numerical simulations are adopted to verify the proposed optimization method for partial information cases.",

keywords = "backward stochastic different equation, optimal scheduling, Partial information, synchronization, wind farms",

author = "Jian YU and Feng LIU and Peng LI and Yongduan SONG",

year = "2015",

month = jul,

doi = "10.1109/ChiCC.2015.7261053",

language = "English",

pages = "8941--8946",

editor = "Qianchuan ZHAO and Shirong LIU",

booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",

publisher = "IEEE",

note = "34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",

}

Optimal scheduling for wind farms power generation based on partial information. / YU, Jian; LIU, Feng; LI, Peng et al.
Proceedings of the 34th Chinese Control Conference, CCC 2015. ed. / Qianchuan ZHAO; Shirong LIU. IEEE, 2015. p. 8941-8946 7261053.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Optimal scheduling for wind farms power generation based on partial information

AU - YU, Jian

AU - LIU, Feng

AU - LI, Peng

AU - SONG, Yongduan

PY - 2015/7

Y1 - 2015/7

N2 - This paper aims to solve the coupled problem of wind farms modeling and wind power generation optimal scheduling. The salient features of the proposed method are as follows: First, the multi-agent model of wind farms power generation is obtained, which consider the influence among wind turbines. Second, the task is formulated as an optimization scheduling problem in terms of wind power generation. Third, the controller is designed by considering the partial system information, and solved based on the Forward & Backward Stochastic Different Equations (FBSDE) and adjoint equations. Numerical simulations are adopted to verify the proposed optimization method for partial information cases.

AB - This paper aims to solve the coupled problem of wind farms modeling and wind power generation optimal scheduling. The salient features of the proposed method are as follows: First, the multi-agent model of wind farms power generation is obtained, which consider the influence among wind turbines. Second, the task is formulated as an optimization scheduling problem in terms of wind power generation. Third, the controller is designed by considering the partial system information, and solved based on the Forward & Backward Stochastic Different Equations (FBSDE) and adjoint equations. Numerical simulations are adopted to verify the proposed optimization method for partial information cases.

KW - backward stochastic different equation

KW - optimal scheduling

KW - Partial information

KW - synchronization

KW - wind farms

UR - https://www.scopus.com/pages/publications/84946594869

U2 - 10.1109/ChiCC.2015.7261053

DO - 10.1109/ChiCC.2015.7261053

M3 - Conference paper (refereed)

AN - SCOPUS:84946594869

SP - 8941

EP - 8946

BT - Proceedings of the 34th Chinese Control Conference, CCC 2015

A2 - ZHAO, Qianchuan

A2 - LIU, Shirong

PB - IEEE

T2 - 34th Chinese Control Conference, CCC 2015

Y2 - 28 July 2015 through 30 July 2015

ER -

Optimal scheduling for wind farms power generation based on partial information

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