Day-ahead Economic Dispatch of Wind Integrated Power System Considering Optimal Scheduling of Reserve Capacity

被引:9
|
作者
Luo Chao [1 ]
Yang Jun [1 ]
Du Zhi [2 ]
He Jifeng [2 ]
Liu Mingsong [3 ]
机构
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Hubei Province, Peoples R China
[2] Hubei Elect Power Co, SGCC, Econ & Technol Res Inst, Wuhan 430077, Peoples R China
[3] China Elect Power Res Inst, Beijing 100192, Peoples R China
关键词
wind power; dynamic economic dispatch; automatic generation control (AGC); reserve scheduling;
D O I
10.1016/j.egypro.2015.07.463
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
This paper proposes a novel day-ahead dynamic economic dispatch model for the wind integrated power system, aiming to minimize the total cost of generation and reserve capacity of all units. The proposed model is formulated as a chance-constrained stochastic nonlinear programming (CSNLP) problem, in which the constraints of regulating characteristics of units are taken into account. A two-stage iterative algorithm, based on sequential quadratic programming (SQP) method and chance-constraint checking, is developed to solve the CSNLP efficiently. Finally, the proposed dispatch strategy is illustrated in an IEEE30 power system with six generators and a wind farm. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1044 / 1051
页数:8
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