2015 American Control Conference (ACC)最新文献_第7页

Cost optimization of combined building heating/cooling equipment via mixed-integer linear programming 基于混合整数线性规划的建筑冷暖组合设备成本优化

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7170976

M. J. Risbeck, C. Maravelias, J. Rawlings, R. Turney

{"title":"Cost optimization of combined building heating/cooling equipment via mixed-integer linear programming","authors":"M. J. Risbeck, C. Maravelias, J. Rawlings, R. Turney","doi":"10.1109/ACC.2015.7170976","DOIUrl":"https://doi.org/10.1109/ACC.2015.7170976","url":null,"abstract":"In this paper, we propose a mixed-integer linear program to economically optimize equipment usage in a central heating/cooling plant subject to time-of-use and demand charges for utilities. The optimization makes both discrete on/off and continuous load decisions for equipment while determining utilization of thermal energy storage systems. This formulation allows simultaneous optimization of heating and cooling subsystems, which interact directly when heatrecovery chillers are present. Nonlinear equipment models are approximated as piecewise-linear to balance modeling accuracy with the computational constraints imposed by online implementation and to ensure global optimality for the computed solutions. The chief benefits of this formulation are its ability to tightly control on/off switching of equipment, its consideration of cost contributions from auxiliary equipment such as pumps, and its applicability to large systems with multiple heating and cooling units in which a combinatorial problem must be solved to pick the optimal mix of equipment. These features result in improved performance over heuristic scheduling rules or other formulations that do not consider discrete decision variables. We show optimization results for a system with four conventional chillers, two heat-recovery chillers, and one hot water boiler. With a timestep of 1 h and a horizon of 48 h, the optimization problem can be solved to optimality within 5 minutes, indicating suitability for online implementation.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"11 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125683267","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: 22

Identifying the uncertainty structure using maximum likelihood estimation 利用最大似然估计识别不确定性结构

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7170772

M. Zagrobelny, J. Rawlings

{"title":"Identifying the uncertainty structure using maximum likelihood estimation","authors":"M. Zagrobelny, J. Rawlings","doi":"10.1109/ACC.2015.7170772","DOIUrl":"https://doi.org/10.1109/ACC.2015.7170772","url":null,"abstract":"The identification of accurate disturbance models from data has application both to estimator design and controller performance monitoring. Methods to find the disturbance model include maximum likelihood estimation, Bayesian estimation, covariance matching, correlation techniques (such as autocovariance least-squares), and subspace identification methods. Here we formulate a maximum likelihood estimation (MLE) problem for the unknown process and measurement noise covariances. To form the MLE problem, the entire set of measurements is written as a linear combination of the white noises affecting the system. This measurement signal then has a multivariate normal distribution with a known mean and unknown variance. Since the structure of the variance is known, the likelihood is expressed in terms of the unknown process and measurement noise covariance matrices. The MLE problem is a nonlinear optimization problem for these covariances. A solution to this problem is shown to exist. Necessary conditions for uniqueness are shown to be the same as those for the autocovariance least-squares problem. While the size of the measurement signal makes the problem computationally demanding, the symmetry and sparsity of the problem aid in the numerical optimization. Simulations demonstrate the effectiveness of the MLE problem in finding the process and measurement noise covariances for low-dimensional systems. The MLE method is compared to existing approaches, and fruitful avenues of future research are discussed.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122013801","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: 20

A novel ectropy-based control scheme for a dfig driven by a wind turbine with an integrated energy storage 一种新的基于熵的集成储能风力发电机驱动双机控制方案

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172012

Stefanos Baros

{"title":"A novel ectropy-based control scheme for a dfig driven by a wind turbine with an integrated energy storage","authors":"Stefanos Baros","doi":"10.1109/ACC.2015.7172012","DOIUrl":"https://doi.org/10.1109/ACC.2015.7172012","url":null,"abstract":"Double-Fed Induction Generators (DFIG's) driven by wind turbines are today the state of the art wind generators and are required to provide advanced functionalities in order to support the grid and comply with technical regulations. In this paper, we propose a novel control scheme for a wind turbine driven DFIG with an integrated energy storage. The control scheme is based on nonlinear control methods and provides three functionalities: a) maximum power point tracking (MPPT) during low range of wind speed conditions, b) power ouput smoothing (alleviating the effect of intermittency into the grid) and c) constant power output during variations of the mean wind speed and tracking of the committed power reference. Our approach involves first expressing the control objectives into asymptotic stability guarantees of desired equillibrium points and then mapping these guarantees to asymptotic stability of energy-level equilibrium points. We establish equivalence between the two, and then use shifted ectropy functions as Control Lyapunov Functions (CLF) to design the corresponding controllers. We demonstrate the performance of the proposed control scheme under critical scenarios on a 3-bus power system.","PeriodicalId":223665,"journal":{"name":"2015 American Control Conference (ACC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128163894","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: 9

The quest for autonomy. Are we there yet? Are CPS a way to build autonomous systems? 对自治的追求。我们到了吗?CPS是构建自主系统的一种方式吗?

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172128

P. Antsaklis

引用次数: 0

An anti-windup scheme for an adaptive ℋ∞ vibration controller: Development and simulations 一种自适应h∞振动控制器的抗缠绕方案:开发与仿真

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172168

M. Turner, R. O'Brien

引用次数: 6

A nonlinear guidance law for impact time control 一种用于冲击时间控制的非线性制导律

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7170809

Abdulrahman Saleem, Ashwini Ratnoo

引用次数: 4

A primal-dual active-set method for distributed Model Predictive Control 分布式模型预测控制的一种原始对偶活动集方法

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7172079

S. Koehler, C. Danielson, F. Borrelli

引用次数: 17

Synchronization of uncertain Euler-Lagrange systems with unknown time-varying communication delays 具有未知时变通信延迟的不确定欧拉-拉格朗日系统的同步

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7170814

Justin R. Klotz, Serhat Obuz, Z. Kan, W. Dixon

引用次数: 11

Stochastic distributed optimization of reactive power operations using conditional ensembles of V2G capacity 基于V2G容量条件集合的无功运行随机分布优化

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7171840

H. V. Haghi, Z. Qu

引用次数: 5

Adaptive dynamic programming for infinite horizon optimal robust guaranteed cost control of a class of uncertain nonlinear systems 一类不确定非线性系统无穷视界最优鲁棒保成本控制的自适应动态规划

2015 American Control Conference (ACC) Pub Date : 2015-07-01 DOI: 10.1109/ACC.2015.7171175

Ding Wang, Derong Liu, Hongliang Li, Hongwen Ma

引用次数: 8