Calculation of Economic Accommodation Capacity (EAC) of Wind Power Based on All-Scenario-Feasible UC Formulation

被引:0
作者
Liu, Jiebing [1 ]
Li, Xuan [1 ]
Zhai, Qiaozhu [1 ]
机构
[1] Xian Jiaolong Univ, Syst Engn Inst, MOEKLINNS Lab, Xian 710049, Shaanxi, Peoples R China
来源
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词
wind power; economic accommodation; all scenario feasibility; unit commitment;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Capacity of wind power installation has increased rapidly all over the world in recent years. However, due to the possibly unreasonable capacity/location planning and lack of proper incentives, wind curtailment is a serious problem at the same time. How to make full use of wind energy and reduce power generation costs is an important issue. From the view of wind farm planning, the wind curtailment is because that the installed capacity of wind farm is beyond grid's capacity of wind power accommodation or economic capacity of wind power accommodation. This paper establishes an economic accommodation capacity (EAC) model of wind power based on an all-scenario-feasible (ASF) unit commitment (UC) model, where the ASF model can ensure the security so that the wind curtailment can be avoided. The objective of this model is to get the optimal installed capacity of wind farm and takes it as the EAC. In addition, the max accommodation capacity (MAC) model and the optimal buses selection (OBS) model of wind power are also proposed in this paper to help with wind power planning. Numerical test suggests that these models are effective.
引用
收藏
页码:6442 / 6447
页数:6
相关论文
共 15 条
[1]  
[陈国平 Chen Guoping], 2017, [中国电机工程学报, Proceedings of the Chinese Society of Electrical Engineering], V37, P20
[2]  
[贾文昭 Jia Wenzhao], 2012, [电网技术, Power System Technology], V36, P69
[3]  
Kang Chongging, 2013, Proceedings of the CSEE, V33, P23
[4]  
[刘畅 Liu Chang], 2014, [电力系统保护与控制, Power System Protection and Control], V42, P61
[5]  
Ma Q., 2016, SHANDONG ELECT POWER, V43, P15
[6]   Unit commitment - A bibliographical survey [J].
Padhy, NP .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) :1196-1205
[7]  
[宋艺航 Song Yihang], 2014, [电网技术, Power System Technology], V38, P610
[8]  
Wang Cai-xia, 2013, Electric Power, V46, P100
[9]  
Wang Ningbo, 2011, Automation of Electric Power Systems, V35, P82
[10]  
Wang Qian-kun, 2012, East China Electric Power, V40, P378