.png){kind=icon}
返回
Dynamic performance-based automatic generation control unit allocation with frequency sensitivity identification
.png){kind=icon}
PRE
AI
DOI：10.1080/00207543.2016.1201602.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With the alteration of energy structures in power system, the allocation of automatic generation control (AGC) is facing new challenges. The emergence of high penetration of manufacturing sectors and renewable energy sources has increased the demand for faster-ramping resources to participate in the frequency regulation service. Additionally, the current regulation service does not properly arrange the output of the resources considering the actual performance while they follow the AGC allocation signals, which affects the accuracy of frequency regulation. The fast-ramping capacity and response accuracy of AGC units are supposed to be considered in the dispatch. Meanwhile, the power outputs of different governors have different impacts on the system frequency, which has important guiding significance for the AGC dispatch. With the purpose of improving frequency regulation service, this paper proposes a dynamic performance-based dispatch model considering the above issues. We first prove that there is a linear relation between the output of the generators and system frequency, defined as frequency sensitivity. Then, the frequency sensitivity of each generator can be identified using the least square (LS) method. Furthermore, a dynamic multi-objective optimization allocation model is established, which considers the units' economy, ramping capacity and accuracy. Finally, the proposed identification method and allocation model are simulated in the IEEE-9 bus system, and the simulation results verify their validity and feasibility
Keyword:
frequency sensitivity
performance-based regulation
AGC
online identification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W
机构
引用论文
分享收藏Mixed integer non-linear programming and Artificial Neural Network based approach to ancillary services dispatch in competitive electricity markets竞争性电力市场中基于混合整数非线性规划和人工神经网络的辅助服务调度方法.png)
APPLIED ENERGY
OAAI
APPLIED ENERGYIF11
OAAI分享收藏
GA application to optimization of AGC in three-area power system after deregulation遗传算法在解除管制后三区电力系统AGC优化中的应用
PREAI
分享收藏分享收藏
查看更多内容