Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256169
Yunfeng Fan, U-Xuan Tan
Piezoelectric actuator is widely used in micro/nano applications due to advantages like high stiffness, rapid response and high resolution. However, the inherent hysteresis limits its performance in trajectory tracking. Moreover, the hysteresis nonlinearity is dependent of control input rate (which is called rate-dependent behavior). To make matters worse, it is also affected by environmental parameters like temperature, which increases the need for an adaptive controller. In addition, this rate-dependent relationship is generally nonlinear between the weights of the backlashes and input rate and complex in practice. In order to address this hysteresis nonlinearity with related problems, this paper proposes an adaptive feedforward controller which is built based on Prandtl-Ishlinskii (PI) model. Radial Basis Function Neural Network (RBFNN) is proposed in this paper to model the rate-dependent behavior. The adaptive RBFNN is then updated using recursive least square method. The controller is implemented and experiments with both periodic and non-periodic motions are conducted to verify the effectiveness and feasibility of the proposed method.
{"title":"Adaptive rate-dependent feedforward control for piezoelectric actuator","authors":"Yunfeng Fan, U-Xuan Tan","doi":"10.1109/COASE.2017.8256169","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256169","url":null,"abstract":"Piezoelectric actuator is widely used in micro/nano applications due to advantages like high stiffness, rapid response and high resolution. However, the inherent hysteresis limits its performance in trajectory tracking. Moreover, the hysteresis nonlinearity is dependent of control input rate (which is called rate-dependent behavior). To make matters worse, it is also affected by environmental parameters like temperature, which increases the need for an adaptive controller. In addition, this rate-dependent relationship is generally nonlinear between the weights of the backlashes and input rate and complex in practice. In order to address this hysteresis nonlinearity with related problems, this paper proposes an adaptive feedforward controller which is built based on Prandtl-Ishlinskii (PI) model. Radial Basis Function Neural Network (RBFNN) is proposed in this paper to model the rate-dependent behavior. The adaptive RBFNN is then updated using recursive least square method. The controller is implemented and experiments with both periodic and non-periodic motions are conducted to verify the effectiveness and feasibility of the proposed method.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116992527","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256093
Xiongjun Chen, Chenguang Yang, Cheng Fang, Zhijun Li
Effective and stable execution of a human-robot interaction task requires the force and position trajectories of the robot are commanded properly according to the time-varying human arm behavior. In this paper, we aim to realize a direct and physical interaction task between the human hand and robotic arm end-effector. A computationally efficient Cartesian stiffness estimation model of human arm is first employed, which accounts for the geometric and volume modifications of the Cartesian stiffness profile through the arm posture and the activation levels of the two dominant upper arm muscles (i.e., Biceps and Triceps) respectively. Two Myo armbands are attached on the upper arm and the forearm with their built-in gyroscopes and wireless electromyography sensors (EMG) tracking the arm posture and the activation levels of the two muscles respectively. This stiffness estimation model is then extended to the full impedance sense by considering the mass and damping items supplementarily. Once the impedance estimation model is available after the calibration in various arm configurations and muscle activation levels. We employed Linear Quadratic Regulator (LQR) to computing the corresponding impedance model of the robot to match the estimated human arm behavior. An adaptive controller base on Function Approximation Technique (FAT) is employed to control the robot trajectory in joint space to realize the matching impedance behavior. The corresponding simulation results show that the proposed scheme is stable and effecitve.
{"title":"Impedance matching strategy for physical human robot interaction control","authors":"Xiongjun Chen, Chenguang Yang, Cheng Fang, Zhijun Li","doi":"10.1109/COASE.2017.8256093","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256093","url":null,"abstract":"Effective and stable execution of a human-robot interaction task requires the force and position trajectories of the robot are commanded properly according to the time-varying human arm behavior. In this paper, we aim to realize a direct and physical interaction task between the human hand and robotic arm end-effector. A computationally efficient Cartesian stiffness estimation model of human arm is first employed, which accounts for the geometric and volume modifications of the Cartesian stiffness profile through the arm posture and the activation levels of the two dominant upper arm muscles (i.e., Biceps and Triceps) respectively. Two Myo armbands are attached on the upper arm and the forearm with their built-in gyroscopes and wireless electromyography sensors (EMG) tracking the arm posture and the activation levels of the two muscles respectively. This stiffness estimation model is then extended to the full impedance sense by considering the mass and damping items supplementarily. Once the impedance estimation model is available after the calibration in various arm configurations and muscle activation levels. We employed Linear Quadratic Regulator (LQR) to computing the corresponding impedance model of the robot to match the estimated human arm behavior. An adaptive controller base on Function Approximation Technique (FAT) is employed to control the robot trajectory in joint space to realize the matching impedance behavior. The corresponding simulation results show that the proposed scheme is stable and effecitve.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116335892","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256135
M. P. Fanti, G. Iacobellis, M. Nolich, Andrea Rusich, W. Ukovich
This contribution specifies a cloud based cooperative Decision Support System (DSS) that aims at integrating logistics management and decision support strategies for Intermodal Transportation Systems. The proposed DSS is dedicated to synchronize different transportation means by using the modern Information and Communications Technology tools and by taking into account environmental aspects. The paper describes the DSS cloud based architecture and presents the procedure to be followed in order to design a DSS able to support Decision Makers in different logistic decision fields.
{"title":"A decision support system for cooperative logistics","authors":"M. P. Fanti, G. Iacobellis, M. Nolich, Andrea Rusich, W. Ukovich","doi":"10.1109/COASE.2017.8256135","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256135","url":null,"abstract":"This contribution specifies a cloud based cooperative Decision Support System (DSS) that aims at integrating logistics management and decision support strategies for Intermodal Transportation Systems. The proposed DSS is dedicated to synchronize different transportation means by using the modern Information and Communications Technology tools and by taking into account environmental aspects. The paper describes the DSS cloud based architecture and presents the procedure to be followed in order to design a DSS able to support Decision Makers in different logistic decision fields.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129690329","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256265
Sarmad Riazi, Kristofer Bengtsson, B. Lennartson
This paper evaluates some techniques for generating robot trajectories including state of the art energy-efficient trajectories, as well as more traditional trapezoidal velocity profiles used in today's robot traditional trajectory planning. In our recent publications we have demonstrated that it is possible to convert the existing velocity profiles of KUKA robots to energy-efficient ones, with impressive results in reducing energy consumption and peak-power. In this paper we give more in-depth insight as to how the proposed velocity profiles compare with their trapezoidal or polynomial counter-parts.
{"title":"From trapezoid to polynomial: Next-generation energy-efficient robot trajectories","authors":"Sarmad Riazi, Kristofer Bengtsson, B. Lennartson","doi":"10.1109/COASE.2017.8256265","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256265","url":null,"abstract":"This paper evaluates some techniques for generating robot trajectories including state of the art energy-efficient trajectories, as well as more traditional trapezoidal velocity profiles used in today's robot traditional trajectory planning. In our recent publications we have demonstrated that it is possible to convert the existing velocity profiles of KUKA robots to energy-efficient ones, with impressive results in reducing energy consumption and peak-power. In this paper we give more in-depth insight as to how the proposed velocity profiles compare with their trapezoidal or polynomial counter-parts.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412046","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256078
Wei-Chian Tan, P. C. Goh, A. Causo, I. Chen, H. K. Tan
This work proposes a framework for automated detection of blistering defects on metal surface. The framework takes an image as input, converts it to Histogram of Oriented Gradient based representation to capture contour information. Next, it performs search for the nearest neighbour in a database of existing example images. Label of the nearest neighbour is taken to be label (or result of analysis) of the query image. While being simple, the method has an advantage of being effective and efficient. It is demonstrated through experiments that contour is very helpful in detection of blistering defects on metal surface. Besides, not requiring significant resources for pre-processing, it is closer to real time processing and hence makes it possible for deployment to inspection robots. The method has also demonstrated state of the art performance on a challenging dataset for metal surface created by experienced engineers in industry.
{"title":"Automated vision based detection of blistering on metal surface: For robot","authors":"Wei-Chian Tan, P. C. Goh, A. Causo, I. Chen, H. K. Tan","doi":"10.1109/COASE.2017.8256078","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256078","url":null,"abstract":"This work proposes a framework for automated detection of blistering defects on metal surface. The framework takes an image as input, converts it to Histogram of Oriented Gradient based representation to capture contour information. Next, it performs search for the nearest neighbour in a database of existing example images. Label of the nearest neighbour is taken to be label (or result of analysis) of the query image. While being simple, the method has an advantage of being effective and efficient. It is demonstrated through experiments that contour is very helpful in detection of blistering defects on metal surface. Besides, not requiring significant resources for pre-processing, it is closer to real time processing and hence makes it possible for deployment to inspection robots. The method has also demonstrated state of the art performance on a challenging dataset for metal surface created by experienced engineers in industry.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128454988","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256102
Chong Li, Xiaolei Xie, Jinlin Li, N. Kong
Colorectal cancer is a common type of cancer. Due to the alarming incidence and mortality rate, it has received increasing attention on early detection and treatment. Colorectal polyps form and grow at initial stages of most colorectal cancer cases. Due to rather stringent medical resource availability and low screening compliance rate, it is more desirable in China than industrialized countries to characterize the relations between the detection of colorectal polyps and various potential determinants, including basic health information, comorbidities, and lifestyle conditions. Subsequently, one can better predict polyp onset for each individual. In this paper, we present a data-driven modeling study to improve binary classification of colorectal polyp occurrence. We apply several machine-learning methods, particularly random forests, on physical examination data of 849 Chinese people, to build the classifiers. Our results suggest improved prediction performance with a random forest model. Our results also show that subject's negative mood score, rarely recorded in previous studies, is highly correlated with colorectal polyp occurrence.
{"title":"Improving colorectal polyp classification based on physical examination data — A ensemble learning approach","authors":"Chong Li, Xiaolei Xie, Jinlin Li, N. Kong","doi":"10.1109/COASE.2017.8256102","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256102","url":null,"abstract":"Colorectal cancer is a common type of cancer. Due to the alarming incidence and mortality rate, it has received increasing attention on early detection and treatment. Colorectal polyps form and grow at initial stages of most colorectal cancer cases. Due to rather stringent medical resource availability and low screening compliance rate, it is more desirable in China than industrialized countries to characterize the relations between the detection of colorectal polyps and various potential determinants, including basic health information, comorbidities, and lifestyle conditions. Subsequently, one can better predict polyp onset for each individual. In this paper, we present a data-driven modeling study to improve binary classification of colorectal polyp occurrence. We apply several machine-learning methods, particularly random forests, on physical examination data of 849 Chinese people, to build the classifiers. Our results suggest improved prediction performance with a random forest model. Our results also show that subject's negative mood score, rarely recorded in previous studies, is highly correlated with colorectal polyp occurrence.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128153259","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256090
Bai Li, Zhijiang Shao, Youmin Zhang, Pu Li
Multi-vehicle motion planning (MVMP) is a critical decision-making module in intelligent transportation systems. Compared to the decentralized MVMP methods, centralized MVMP methods are beneficial in being generic and complete, because information of all the vehicles is simultaneously considered. This study formulates the MVMP problems as centralized optimal control problems. These problems are parameterized into nonlinear programming (NLP) problems for the convenience of numerical solution. In solving those NLPs, the main challenges lie in the large scale of collision-avoidance constraints, and the high nonlinearity of vehicle kinematics. The typical NLP solvers are inefficient in directly handling such difficulties. It is widely known that the initialization has a significant influence on the NLP solving behavior. Therefore, homotopy initialization strategies are developed in this work to generate the initial guess. The main idea of homotopy is that simplified subproblems are solved in a sequence such that each subproblem is closer to the original problem; the solution to each subproblem serves as the initial guess to facilitate the solving process of the next subproblem. This process continues until the original problem is solved. The efficiency of the proposed initialization strategies is verified via numerical experimentation and theoretical analysis.
{"title":"Nonlinear programming for multi-vehicle motion planning with homotopy initialization strategies","authors":"Bai Li, Zhijiang Shao, Youmin Zhang, Pu Li","doi":"10.1109/COASE.2017.8256090","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256090","url":null,"abstract":"Multi-vehicle motion planning (MVMP) is a critical decision-making module in intelligent transportation systems. Compared to the decentralized MVMP methods, centralized MVMP methods are beneficial in being generic and complete, because information of all the vehicles is simultaneously considered. This study formulates the MVMP problems as centralized optimal control problems. These problems are parameterized into nonlinear programming (NLP) problems for the convenience of numerical solution. In solving those NLPs, the main challenges lie in the large scale of collision-avoidance constraints, and the high nonlinearity of vehicle kinematics. The typical NLP solvers are inefficient in directly handling such difficulties. It is widely known that the initialization has a significant influence on the NLP solving behavior. Therefore, homotopy initialization strategies are developed in this work to generate the initial guess. The main idea of homotopy is that simplified subproblems are solved in a sequence such that each subproblem is closer to the original problem; the solution to each subproblem serves as the initial guess to facilitate the solving process of the next subproblem. This process continues until the original problem is solved. The efficiency of the proposed initialization strategies is verified via numerical experimentation and theoretical analysis.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051805","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256236
Junfeng Wang, Yi Feng, Z. Fei, Shiqi Li, Q. Chang
The idle statuses of machines in a manufacturing system consume large quantity energy but with non-value added activities. The real time control strategy that reduces the idle period energy is becoming challenging goal under the energy efficient manufacturing environment. Considering the bottleneck machine in a serial tandem line, the concept of energy saving window of machine idle status is proposed and its essence is discussed. A stochastic system model based on Markov chain is constructed to estimate the energy saving window when a machine is blocked or starved. The numerical results are given by discrete event simulation, where the control rule is formulated to select the suitable energy saving machine during system running process. The throughput and energy consumption of the system is compared for different energy saving strategy and the efficiency of the method is validated.
{"title":"Markov chain based idle status control of stochastic machines for energy saving operation","authors":"Junfeng Wang, Yi Feng, Z. Fei, Shiqi Li, Q. Chang","doi":"10.1109/COASE.2017.8256236","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256236","url":null,"abstract":"The idle statuses of machines in a manufacturing system consume large quantity energy but with non-value added activities. The real time control strategy that reduces the idle period energy is becoming challenging goal under the energy efficient manufacturing environment. Considering the bottleneck machine in a serial tandem line, the concept of energy saving window of machine idle status is proposed and its essence is discussed. A stochastic system model based on Markov chain is constructed to estimate the energy saving window when a machine is blocked or starved. The numerical results are given by discrete event simulation, where the control rule is formulated to select the suitable energy saving machine during system running process. The throughput and energy consumption of the system is compared for different energy saving strategy and the efficiency of the method is validated.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132449049","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256120
Yasumitsu Sarai, Y. Maeda
Today's industrial robots require that human operators teach motions in advance. However, conventional methods for robot programming need deep knowledge and skills about robots or great effort for inputting information of working environment into computers. Therefore, a robot programming method in which everyone can easily teach robots “good” motions is demanded. For this purpose, our group proposed a robot programming method that uses manual volume sweeping by operators and automatic motion planning together to generate motion plans with short cycle times. Because a swept volume is the space through which the robot has passed without collision, it is movable space of the robot that can be used in motion planning. In this paper, we proposed using augmented reality in this programming method. We constructed a system in which operators can perceive obtained swept volumes and generated paths intuitively through augmented reality. Teaching experiments showed that non-skilled operators can make a robot move in shorter time than teaching/playback by direct teaching.
{"title":"Robot programming for manipulators through volume sweeping and augmented reality","authors":"Yasumitsu Sarai, Y. Maeda","doi":"10.1109/COASE.2017.8256120","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256120","url":null,"abstract":"Today's industrial robots require that human operators teach motions in advance. However, conventional methods for robot programming need deep knowledge and skills about robots or great effort for inputting information of working environment into computers. Therefore, a robot programming method in which everyone can easily teach robots “good” motions is demanded. For this purpose, our group proposed a robot programming method that uses manual volume sweeping by operators and automatic motion planning together to generate motion plans with short cycle times. Because a swept volume is the space through which the robot has passed without collision, it is movable space of the robot that can be used in motion planning. In this paper, we proposed using augmented reality in this programming method. We constructed a system in which operators can perceive obtained swept volumes and generated paths intuitively through augmented reality. Teaching experiments showed that non-skilled operators can make a robot move in shorter time than teaching/playback by direct teaching.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132315273","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}
Pub Date : 2017-08-01DOI: 10.1109/COASE.2017.8256337
Mingyang Li, Jing Pan, Qing Su, Y. Niu
One promising way to improve renewable energy utilization in power grids is to operate thermal generators flexibly, so that their output levels can better catch up with the fluctuating and intermittent renewable power. In this paper, we analyze the sensitivity of allowable system wind penetration level to thermal generation ramp rates and output bounds in an economic dispatch framework. By using the “100% rule” in linear programming, it is theoretically shown that the allowable wind power levels in the system are subject to an analytical joint constraint coupling all decision periods. Numerical tests on the IEEE 30-bus system are performed to demonstrate the theoretical results.
{"title":"Analyzing sensitivity of power system wind penetration to thermal generation flexibility","authors":"Mingyang Li, Jing Pan, Qing Su, Y. Niu","doi":"10.1109/COASE.2017.8256337","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256337","url":null,"abstract":"One promising way to improve renewable energy utilization in power grids is to operate thermal generators flexibly, so that their output levels can better catch up with the fluctuating and intermittent renewable power. In this paper, we analyze the sensitivity of allowable system wind penetration level to thermal generation ramp rates and output bounds in an economic dispatch framework. By using the “100% rule” in linear programming, it is theoretically shown that the allowable wind power levels in the system are subject to an analytical joint constraint coupling all decision periods. Numerical tests on the IEEE 30-bus system are performed to demonstrate the theoretical results.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130964380","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}
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