2016 American Control Conference (ACC)最新文献_第7页

A practical integration of automatic generation control and Demand Response 一个实际集成的自动发电控制和需求响应

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526740

Dylan J. Shiltz, A. Annaswamy

{"title":"A practical integration of automatic generation control and Demand Response","authors":"Dylan J. Shiltz, A. Annaswamy","doi":"10.1109/ACC.2016.7526740","DOIUrl":"https://doi.org/10.1109/ACC.2016.7526740","url":null,"abstract":"For a power grid to operate properly, electrical frequency must be continuously maintained close to its nominal value. Increasing penetration of distributed generation, such as solar and wind generation, introduces fluctuations in active power while also reducing the natural inertial response of the electricity grid, creating reliability concerns. While frequency regulation has traditionally been achieved by controlling generators, the control of Demand Response (DR) resources has been recognized in recent smart grid literature as an efficient means for providing additional regulation capability. To this end, several control methodologies have been proposed recently, but various features of these proposals make their practical implementations difficult. In this paper, we propose a new control algorithm that facilitates optimal frequency regulation through direct control of both generators and DR, while addressing several issues that prevent practical implementation of other proposals. In particular, i) our algorithm is ideal for control over a large, low-bandwidth network as communication and measurement is only required every 2 seconds, ii) it enables DR resources to recover energy lost during system transients, and iii) it allows the market to immediately respond to disturbances through feedback of the system frequency. We demonstrate the viability of our approach through dynamic simulations on a 118-bus grid model.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129827506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Wind turbine loads reduction using feedforward feedback collective pitch control based on the estimated effective wind speed 基于估计有效风速的前馈反馈集体螺距控制风力机负荷降低

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525259

F. Meng, J. Wenske, A. Gambier

引用次数: 13

A bound on the minimum rank of solutions to sparse linear matrix equations 稀疏线性矩阵方程解的最小秩的一个界

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526693

Raphael Louca, S. Bose, E. Bitar

引用次数: 0

Robust performance analysis for a range of frequencies 鲁棒性能分析范围的频率

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/acc.2016.7526558

S. Boersma, A. Korniienko, Khaled Laib, J. Wingerden

{"title":"Robust performance analysis for a range of frequencies","authors":"S. Boersma, A. Korniienko, Khaled Laib, J. Wingerden","doi":"10.1109/acc.2016.7526558","DOIUrl":"https://doi.org/10.1109/acc.2016.7526558","url":null,"abstract":"Time domain specifications such as overshoot, rise time and tracking behaviour can be extracted from an amplitude frequency response. For uncertain systems we use for this an upper bound on the maximum amplitude frequency response. There are tools which can compute this upper bound for each frequency in a grid. Computing this upper bound can be computational expensive when studying a large scale system hence it is interesting to have a low dense frequency grid. However, in such a case, it can for example occur that the maximum peak of the amplitude frequency response occurs at a frequency which is not in this grid. A consequence is that the overshoot will not be determined well for the system. In this paper we will present a method such that this can not occur. We will augment the uncertainty set with an additional uncertain parameter. This uncertain parameter will cover the frequencies which are not covered by the grid. This allows us to do a robustness analysis for a range of frequencies. In this case we are sure that we do not miss any crucial information with respect to the amplitude frequency response lying in between the frequencies in the grid. We illustrate this using two simulation examples.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128272570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis 用谱分析表征Aw-Rascle-Zhang模式的对流不稳定性

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526632

Francois Belletti, M. Huo, X. Litrico, A. Bayen

引用次数: 2

Multi-stage anti-windup for LTI systems with actuator magnitude and rate saturation 具有执行器幅度和速率饱和的LTI系统的多级防绕组

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526525

Maryam Sadeghi Reineh, Solmaz S. Kia, F. Jabbari

引用次数: 7

A robust extended Kalman filter for modeling piezoelectric actuators 用于压电致动器建模的鲁棒扩展卡尔曼滤波器

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7526071

N. Chuang

引用次数: 0

Robust periodic observer-based control for periodic discrete-time LTV systems 周期离散LTV系统的鲁棒周期观测器控制

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525366

C. Agulhari, M. J. Lacerda

引用次数: 6

Linear parameter-varying approach for modeling rapid thermal processes 快速热过程的线性变参数建模方法

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525417

Mark Trudgen, S. Z. Rizvi, J. Mohammadpour

{"title":"Linear parameter-varying approach for modeling rapid thermal processes","authors":"Mark Trudgen, S. Z. Rizvi, J. Mohammadpour","doi":"10.1109/ACC.2016.7525417","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525417","url":null,"abstract":"In the present paper, a new approach is presented to model rapid thermal processing (RTP) systems. Within the past decade, RTP has achieved acceptance as the mainstream technology for semiconductor manufacturing. Thermal processing is one of the most efficient ways to control the phase-structure properties; moreover, the time duration of RTP systems reduces the so-called thermal budget significantly compared to the traditional methods. RTP implementation is based on the use of light from heating lamps to provide a heat flux. This process is highly nonlinear due to the radiative heat transfer and material properties. By invoking the first principles-based models, we develop in this paper a linear parameter-varying (LPV) model to directly account for all the nonlinearities within the system. The model is then discretized into a high-order affine LPV system; thereafter, principal component analysis (PCA) method is utilized to reduce the number of LPV model's scheduling variables, followed by the use of proper orthogonal decomposition (POD) for model order reduction. Finally, simulations demonstrate that the low-order LPV model, which is in a form suitable for controller design purposes, retains the properties of the original full-order model.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Selecting control input type for a building predictive controller integrated in a power grid 电网中建筑物预测控制器控制输入类型的选择

2016 American Control Conference (ACC) Pub Date : 2016-07-06 DOI: 10.1109/ACC.2016.7525273

Jeremy S. Dobbs, Meysam Razmara, M. Shahbakhti, S. Paudyal

{"title":"Selecting control input type for a building predictive controller integrated in a power grid","authors":"Jeremy S. Dobbs, Meysam Razmara, M. Shahbakhti, S. Paudyal","doi":"10.1109/ACC.2016.7525273","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525273","url":null,"abstract":"Application of Model Predictive Control (MPC) for a Smart Building in a Smart Grid environment is studied by using an experimentally validated building thermal model. The goal is to compare three control input types for an office building's Heating, Ventilation, and Air Conditioning (HVAC) system, and select the control type with the best performance. Three types of MPC control input are considered for the HVAC system: (1) solitary control over the supply air temperature, (2) solitary control over the air mass flow rate, and (3) combined control over the supply air temperature and mass flow rate. An objective function is defined based on an introduced Normalized Performance Index (NP-Index) which balances price minimization while maintaining a balanced steady load profile in the grid which benefits customers and the distribution grid utility. The results show that using the combined control approach leads to 20% improvement on NP-Index compared to the solitary mass flow rate control. Additionally, controlling both the supply air temperature and air mass flow rate reduces power consumption by 4% and 13% compared to solitary air temperature control and solitary air mass flow rate control, respectively.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1