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Frequency aware robust economic dispatch

Journal of Modern Power systems and Clean Energy 2016年第2期4卷 200-210页

作者： Donglei SUN Xueshan HAN Bo ZHANG Mingqiang WANG Tianyu DING Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 2G7Canada

This paper proposes a novel frequency aware robust economic dispatch (FARED) approach to exploit the synergistic capability of accommodating uncertain loads and renewable generation by accounting for both the frequency regulation effect and optimal participation mechanism of secondary regulation reserves for conventional units in response to uncertainties in the robust optimization counterpart of security constrained economic *** FARED is formulated as a robust optimization *** this formulation the allowable frequency deviation and the possible load or renewable generation curtailments are expressed in terms of variable uncertainty *** variables in the formulation are described as interval variables and treated in affine *** order to improve the computational tractability,the dominant constraints which canbe the candidates of tight transmission constraints are determined by complementarity *** the robust optimization problem is simplified to a bilinear programming problem based on duality ***,the effectiveness and efficiency of the proposed method are illustrated based on several study cases.

关键词： Economic dispatch Frequency regulation effect Interval uncertainty Robust optimization Affine policy Complementarity constraints

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Global Stabilization of a Chain of Integrators by a Switching Event-Triggered Bounded control

Global Stabilization of a Chain of Integrators by a Switchin...

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American control Conference

作者： Yijing Xie Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of Education Shanghai Jiao Tong University Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781509045839

This paper studies the problem of global stabilization of multiple integrator systems using event-triggered bounded controls. The linear system is described by a chain of integrators of arbitrary length n. A switching event-triggered bounded control law is constructed. This control law switches among a sequence of n event-triggered control laws. A switching strategy is designed for the selection of an individual event-triggered control law and an event-triggering strategy is designed for updating the control value of each of these control laws. This switching event-triggered control law is shown to achieve global asymptotic stabilization. The absence of the Zeno behavior is also established. Simulation results are given to illustrate the theoretical results.

关键词： Event-triggered control bounded control global stabilization bounded control Event trigger control law integrators Chains linearly ordered set switching

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A unified leader-follower scheme for mobile robots with uncalibrated on-board camera

A unified leader-follower scheme for mobile robots with unca...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Dejun Guo Hesheng Wang Weidong Chen Ming Liu Zeyang Xia Kam K. Leang DARC (Design Automation Robotics & Control) Lab University of Utah Robotics Center Salt Lake City Utah USA State Key Laboratory of Robotics and System (HIT) Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiao Tong University Shanghai China Department of Electronics and Computer Engineering Hong Kong University of Science and Technology Hong Kong China Institute of Biomedical and Health Engineering Chinese Academy of Sciences Shenzhen China

This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme.

关键词： Cameras Robot vision systems Kinematics Mobile robots Calibration Automation

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Demo Abstract: Observability-driven sensor deployment in smart academic environments 14

Demo Abstract: Observability-driven sensor deployment in sma...

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14th ACM Conference on Embedded Networked Sensor systems, SenSys 2016

作者： Agarwal, A. Jaiswal, K. Gudhaka, U. Munigala, V. Ramamritham, Krithi Karmakar, Gopinath Department of Computer Science Engineering Indian Institute of Technology Bombay United States Reactor Control System Design Section Bhabha Atomic Research Centre India

ISBN: (纸本)9781450342636

Saving energy without causing discomfort and without de-manding human intervention is the need of the day. It is important to develop sensor systems which not only satisfy user requirements, but also take energy consumption into consideration. In this demo, we present the sensing subsys-tems of a Smart Academic Environment, based upon the core concept of Observability' [1] which-while satisfying user needs-helps to reduce the number of sensors required. © 2016 Copyright held by the owner/author(s).

关键词： Observability

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A Baseline Load Estimation Approach for Residential Customer based on Load Pattern Clustering

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Energy Procedia 2017年 142卷 2042-2049页

作者： Kangping Li Bo Wang Zheng Wang Fei Wang Zengqiang Mi Zhao Zhen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) Baoding 071003 China State Key Laboratory of Operation and Control of Renewable Energy & Storage System (China Electric Power Research Institute) Haidian District Beijing 100192 China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA

Demand response (DR) is a key technology enabling reliable and flexible power system operation more economically and environment-friendly than conventional manners from supply side. Customer baseline load (CBL) estimation is an important issue in the implementation of DR programs for assessing the performance of DR programs and designing economic compensation mechanisms. The accurate estimation of CBL is critical to the success of DR programs because it involves the interests of multi-stakeholders including utilities and customers. Motivated by the inaccuracy of existing CBL methods, this paper proposes a residential CBL estimation approach based on load pattern (LP) clustering to improve the accuracy of CBL estimation. First, an adaptive density-based spatial clustering of applications with noise (DBSCAN) algorithm is proposed to extract typical load patterns (TLPs) of each individual customer in order to avoid the adverse effects from aggregating many dissimilar LPs together as the real TLP. Second, K-means clustering is utilized to segment residential customers into several different clusters based on the similarity of LPs. Finally, CBLs for DR participants are estimated based on the actual load of non-participants at the same cluster during DR event periods. The proposed methods are compared with some traditional methods on a smart metering dataset from Ireland. The results show that the proposed methods have a better performance on accuracy than averaging and regression methods.

关键词： Demand response Customer baseline load Load pattern clustering

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Research on a cloud image forecasting approach for solar power forecasting

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Energy Procedia 2017年 142卷 362-368页

作者： Zhao Zhen Zheng Wang Fei Wang Zengqiang Mi Kangping Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) Baoding 071003 China State Key Laboratory of Operation and Control of Renewable Energy & Storage System (China Electric Power Research Institute) Haidian District Beijing 100192 China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA

Accurate cloud image forecasting is very necessary for sky image based solar power forecasting. To provide a means that can track the cloud deformation process and then forecast the cloud shape and position in a future sky image, a cloud image forecasting approach is proposed in this paper. Firstly, the cloud pixels in sky images are identified using Otsu’s method. Secondly, a mathematical description method of cloud location, shape, and deformation is suggested, so that the key information of cloud and its deformation process can be extracted from original images and then digitized. Thirdly, genetic algorithm (GA) is applied to optimize the cloud deformation process according to digitized historical cloud information. In the end, the cloud shape and position in a future image is forecasted using linear extrapolation. The feasibility and effectiveness of the proposed method are validated by simulation.

关键词： sky image solar power forecasting optimization cloud image forecasting

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Torque Ripple Reduction in Brushless DC Motor Using Repetitive control

Torque Ripple Reduction in Brushless DC Motor Using Repetiti...

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IEEE International Conference on Advanced Intelligent Mechatronics

作者： Wijak Pornsukvitoon Benjamas Panomruttanarug Nattapon Chayopitak Sangkla Kreuawan Felix Mora-Camino Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Pathumthani Thailand French Civil Aviation Institute Toulouse France

ISBN: (纸本)9781509060016

Brushless DC (BLDC) motors have been widely used in industry. However, one of the main drawbacks of using BLDC motors is the undesirable torque ripple. The torque ripple can cause mechanical vibration, acoustic noise and bearing damage that reduces the lifetime of the machine. This paper proposes a simple repetitive control scheme to attenuate torque ripple of BLDC motors. In this method, the ripple is considered as an undesirable repeated signal that will be minimized by the repetitive control scheme. The control input used in the proposed method is controlled transistors switching using space vector pulse width modulation technique. Simulation results show the proposed repetitive control technique results in the apparent reduction of the torque ripple when compared to a conventional control scheme.

关键词： Torque measurement Brushless DC motors Torque Space vector pulse width modulation Velocity control brushless direct current motor torque ripple Space vector pulse width modulation Torque measurement Velocity control Torque Repetitive

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Self adaptation of chimera states

arXiv

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arXiv 2018年

作者： Yao, Nan Huang, Zi-Gang Ren, Hai-Peng Grebogi, Celso Lai, Ying-Cheng Department of Applied Physics Xi’an University of Technology Xi’an710048 China School of Life Science and Technology Xi’an Jiao Tong University Xi’an710049 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Institute for Complex Systems and Mathematical Biology King’s College University of Aberdeen AberdeenAB24 3UE United Kingdom School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Department of Physics Arizona State University TempeAZ85287 United States

Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, and have been shown to be robust against random perturbations. How do chimera states achieve their robustness? We uncover a self-adaptation behavior by which, upon a spatially localized perturbation, the coherent component of the chimera state spontaneously drifts to an optimal location as far away from the perturbation as possible, exposing only its incoherent component to the perturbation to minimize the disturbance. A systematic numerical analysis of the evolution of the spatiotemporal pattern of the chimera state towards the optimal stable state reveals an exponential relaxation process independent of the spatial location of the perturbation, implying that its effects can be modeled as restoring and damping forces in a mechanical system and enabling the articulation of a phenomenological model. Not only is the model able to reproduce the numerical results, it can also predict the trajectory of drifting. Our finding is striking as it reveals that, inherently, chimera states possess a kind of "intelligence" in achieving robustness through self adaptation. The behavior can be exploited for controlled generation of chimera states with their coherent component placed in any desired spatial region of the system. Copyright © 2018, The Authors. All rights reserved.

关键词： Dynamical systems

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A hierarchical urban network control with integration of demand balance and traffic signal coordination

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IFAC-PapersOnLine 2016年第3期49卷 31-36页

作者： Zhou, Zhao Lin, Shu Xi, Yugeng Li, Dewei Zhang, Jun Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control Information Processing Ministry of Education of China Shanghai200240 China School of Computer and Control Engineering University of Chinese Academy of Science Beijing100049 China Joint Institute of UM-SJTU Shanghai Jiao Tong University Shanghai200240 China

This paper concerns the integration of demand balance control and traffic flow coordination control in a hierarchical framework for complex urban traffic networks. At the first level, a complex traffic network is first partitioned into several subnetworks. The traffic dynamics in each subnetwork is modeled by utilizing the concept of Macroscopic Fundamental Diagram (MFD), which relates the network-wide space-mean flow and the number of vehicles at the aggregated level. This model aims at designing a demand balance model predictive controller (MPC), which can improve the internal flow inside the subnetwork by regulating the input flows from outside. At the second level, based on a more detailed traffic flow model, the signal timings of all intersections for each subnetwork are determined by a flow coordination MPC controller, which aims at distributing the number of vehicles in each subnetwork as homogeneously as possible. The effectiveness of the proposed approach is investigated via simulation under different scenarios on a hypothetical urban traffic network, and the performance is compared with other control strategies. © 2016

关键词： Street traffic control

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Determine Q-V characteristics of grid connected wind farms for voltage control using data driven analytics approach

Determine Q-V characteristics of grid connected wind farms f...

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Annual Meeting Industrial and Commercial Power systems Technical Conference

作者： Chowdhury Andalib-Bin-Karim Xiaodong Liang Nahidul Khan Huaguang Zhang Department of Electrical and Computer Engineering Memorial University of Newfoundland St John's NL Canada New found land and Labrador Hydro System Operation & Planning Energy Control Center St John's NL Canada College of Information Science and Engineering North eastern University Shenyang Liaoning China

ISBN: (纸本)9781509057252

Due to varying and intermittent nature of wind resource, grid connected wind farms pose significant technical challenges to power grid on power quality and voltage stability. Wind farm Q-V characteristic curve at the point of interconnection (POI) can offer valuable information for voltage control actions and provide essential indication about voltage stability. Data driven analytics is a promising approach to determine characteristics of a large complex system, physical model of which is difficult to obtain. In this paper, the data driven analytics is used to determine Q-V curve of grid connected wind farms based on measurement data recorded at the POI. Different curve fitting models, such as Polynomial, Gaussian and Rational, are evaluated and best fit is determined based on different graphical and numerical evaluation metrics. A case study is conducted using field measurement data at two grid connected wind farms currently in operation in Newfoundland and Labrador, Canada. It is found that the Gaussian (degree 2) model describes the Q-V relationship most accurately for the two wind farms. The obtained functions and processed data can be used in the voltage controller design. The plotted QV curve can also be used to determine the reactive margin at the POI for voltage stability evaluation. As a generic method, the proposed approach can be employed to determine Q-V characteristic curve of any grid connected large wind farms.

关键词： Mathematical model Wind farms Voltage control Curve fitting Stability analysis Power system stability Reactive power

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