The study of unit commitment considering wind forecasting power

被引：0

作者：

Wang, Chengfu ^{[1
]}

Sun, Hongbin ^{[2
]}

Liang, Jun ^{[3
]}

Niu, Yuanfang ^{[3
]}

机构：

[1] Sandong Univ, Sch Elect Engn, Jinan 250013, Peoples R China

[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[3] Shandong Univ, Sch Elect Engn, Jinan 250013, Peoples R China

来源：

2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2014年

关键词：

wind power; forecasting power; unit commitment; stagetreatment;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In electric power system, large-scale wind power connecting system has huge impact on power regulation. Therefore it is imperative that wind power participate in generic power system dispatch. The key question is how to process intermittent and stochastic of wind power. A stage-treatment method for wind forecasting power is provided in this paper. This method can distinguish high-reliability components of wind forecasting power and this component can participate in unit commitment. This method can distinguish high-reliability components of wind forecasting power and this component can participate in unit commitment. This method can reduce effect of random fluctuant of wind power effectively which power system should cope with. Simulation analyses verify established theoretical is effective.

引用

页数：4

共 50 条

[21] Wind Power Ramp Forecasting for Stochastic Unit Commitment in Smart Grid Environment
Atla, Chandra Shekhar Reddy
Balaraman, K.
Patil, Aditya
Vasudevan, Kashyap
2013 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2013,
[22] Stochastic Unit Commitment Performance Considering Monte Carlo Wind Power Scenarios
Rachunok, Benjamin
Staid, Andrea
Watson, Jean-Paul
Woodruff, David L.
Yang, Dominic
2018 IEEE INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2018,
[23] Markov-Based Stochastic Unit Commitment Considering Wind Power Forecasts
Yu, Yaowen
Luh, Peter B.
Litvinov, Eugene
Zheng, Tongxin
Zhao, Feng
Zhao, Jinye
2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
[24] Affinely Adjustable Robust Unit Commitment Considering the Spatiotemporal Correlation of Wind Power
Wu W.
Wang K.
Li G.
Wang, Keyou (wangkeyou@sjtu.edu.cn), 1600, Chinese Society for Electrical Engineering (37): : 4089 - 4097
[25] Improved gravitational search algorithm for unit commitment considering uncertainty of wind power
Ji, Bin
Yuan, Xiaohui
Chen, Zhihuan
Tian, Hao
ENERGY, 2014, 67 : 52 - 62
[26] Research on Unit Commitment Considering Battery Swapping Station and Fluctuating Wind Power
Zhao, Qiang
Wang, Jinkuan
Han, Yinghua
Qian, Xiaolong
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 5048 - 5053
[27] Robust optimization of unit commitment with wind power considering composite flexibility constraints
Ma, Yinghao
Liu, Chen
Yang, Hejun
Zhang, Dabo
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 151
[28] Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois
Botterud, Audun
Zhou, Zhi
Wang, Jianhui
Sumaili, Jean
Keko, Hrvoje
Mendes, Joana
Bessa, Ricardo J.
Miranda, Vladimiro
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (01) : 250 - 261
[29] Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois
Botterud, Audun
Zhou, Zhi
Wang, Jianhui
Sumaili, Jean
Keko, Hrvoje
Mendes, Joana
Bessa, Ricardo
Miranda, Vladimiro
2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
[30] Study of Wind Power Forecasting Assessment Standard Based on Unit Commitment and Spinning Reserve Optimization Model
Gao, Chunjie
Wang, Peng
PROGRESS IN RENEWABLE AND SUSTAINABLE ENERGY, PTS 1 AND 2, 2013, 608-609 : 547 - 552

← 1 2 3 4 5 →