Ensuring Transient Stability With Guaranteed Region of Attraction in DC Microgrids

微电网 控制理论(社会学) 瞬态(计算机编程) 计算机科学 非线性系统 功率(物理) 最优化问题 电阻抗 数学优化 数学 工程类 控制(管理) 物理 人工智能 电气工程 操作系统 量子力学
作者
Jianzhe Liu,Yichen Zhang,Antonio J. Conejo,Feng Qiu
出处
期刊:IEEE Transactions on Power Systems [Institute of Electrical and Electronics Engineers]
卷期号:38 (1): 681-691 被引量:8
标识
DOI:10.1109/tpwrs.2022.3167315
摘要

DC microgrids have promising applications in renewable integration due to their better energy efficiency when connecting DC components. However, they might be unstable since many loads in a DC microgrid are regulated as constant power loads (CPLs) that have a destabilizing negative impedance effect. As a result, the state trajectory displacement caused by abrupt load changes or contingencies can easily lead to instability. Many existing works have been devoted to studying the region of attraction (ROA) of a DC microgrid, in which the system is guaranteed to be asymptotically stable. Nevertheless, existing work either focuses on using numerical methods for ROA approximations that generally have no performance guarantees or cannot ensure a desired ROA for a general DC microgrid. To close this gap, this paper develops an innovative control synthesis algorithm to make a general DC microgrid have a theoretically guaranteed ROA, for example, to cover the entirety of its operating range regarding state trajectories. We first study the nonlinear dynamics of a DC microgrid to derive a novel transient stability condition to rigorously certify whether a given operating range is a subset of the ROA; then, we formulate a control synthesis optimization problem to guarantee the condition's satisfaction. This condition is a linear constraint, and the optimization problem resembles an optimal power flow problem and has a good computational behavior. Simulation case studies verify the validity of the proposed work.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Rubia完成签到 ,获得积分10
3秒前
大西完成签到,获得积分20
4秒前
天天快乐应助luxx采纳,获得10
4秒前
都美秋完成签到 ,获得积分10
5秒前
5秒前
无花果应助Muxiaokun采纳,获得10
5秒前
科研通AI6应助刘奇采纳,获得10
5秒前
7秒前
净心完成签到 ,获得积分10
8秒前
kk完成签到,获得积分10
9秒前
娜娜发布了新的文献求助10
10秒前
小可发布了新的文献求助30
12秒前
江大橘完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
可心儿完成签到,获得积分10
13秒前
14秒前
彭于晏应助眼睛大的碧凡采纳,获得10
15秒前
洛七落完成签到 ,获得积分10
16秒前
18秒前
ghfg发布了新的文献求助10
19秒前
积极以云发布了新的文献求助10
19秒前
Criminology34应助端庄亦巧采纳,获得20
19秒前
19秒前
量子星尘发布了新的文献求助10
20秒前
op06d完成签到,获得积分10
22秒前
22秒前
璐璐子发布了新的文献求助10
23秒前
24秒前
合适的铃铛完成签到,获得积分10
25秒前
26秒前
邓佳鑫Alan应助我是笨蛋采纳,获得10
27秒前
毛毛洁发布了新的文献求助10
28秒前
zz桓桓完成签到,获得积分20
28秒前
果酱的奥特曼完成签到,获得积分10
29秒前
量子星尘发布了新的文献求助10
30秒前
爆米花应助Wang采纳,获得10
31秒前
积极以云完成签到,获得积分10
32秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Ägyptische Geschichte der 21.–30. Dynastie 2500
Human Embryology and Developmental Biology 7th Edition 2000
The Developing Human: Clinically Oriented Embryology 12th Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5742035
求助须知:如何正确求助?哪些是违规求助? 5405283
关于积分的说明 15343770
捐赠科研通 4883510
什么是DOI,文献DOI怎么找? 2625039
邀请新用户注册赠送积分活动 1573909
关于科研通互助平台的介绍 1530861