Optimal Dispatch Considering the Ability of Active Power Control of Wind Farms

被引：0
|
作者：
Wang, Wei [1 ]
Jin, Guogang [1 ]
Wang, Ying [2 ]
Xu, Yanping [2 ]
Zhang, Kaifeng [2 ]
机构：
[1] Gansu Elect Power Corp, Lanzhou, Peoples R China
[2] Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Nanjing, Jiangsu, Peoples R China
来源：
2013 THIRD INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2013年
关键词：
wind power; active power control; forecast error distribution; optimal dispatch; particle swarm optimization (PSO); REQUIREMENTS; SYSTEMS;
D O I：
10.1109/IMCCC.2013.327
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wind power plants have ability to control the wind power output within a certain range. Considering the ability of active power control of wind farms, the wind power forecast will be more accurate. In this paper, a statistical model for wind power forecast distribution considering the wind farm active control is established. Then, based on the wind forecast error model proposed, an optimal dispatch model is formulated. An improved particle swarm optimization (PSO) algorithm is proposed to solve this problem. The case study shows that considering the ability of wind power control, the reserve requirement will be reduced and the operation cost will be decreased.
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页码：1467 / 1472
页数：6
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