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A Demand Response Scheme for Wind Integrated Power system Based on Mechanism Design Theory

IOP Conference Series: Materials Science and Engineering 2018年第1期366卷

作者： Xueliang Li Donglei Sun Yumin Zhang Xueshan Han Mingqiang Wang Si Yang Wenbo Li Xin Wei Economic & Technology Research Institute of State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan 250061 China State Grid Shandong Electric Power Research Institute Jinan China

The increasing integration of high penetration of wind power into power systems have created great challenges for stable operation of the power system. It is important to design a reasonable demand response scheme (DRS) to make decision the optimal load relief, specially, for the wind power suppliers (WPS) and their customers (WPSC). Therefore, this paper proposes a demand response scheme for wind integrated power system based on mechanism design theory. Firstly, we derive the outage cost function and incentive function modeled by the two variables: the customers' type parameter and the location value. Secondly, incorporate customers' type parameter and locational flexibility into the DRS, and based on game theory, a demand response scheme with incentive compatible constraint and participation constraint is designed to maximize the benefit both the wind power suppliers and their customers. The implication of demand response scheme is to design an incentive structure that encourages customers to sign up for the right scheme and reveal their true value of load reduction. Finally, the eight-bus system example can demonstrate the effectiveness of the proposed method.

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Distributed optimization strategy for multi-region power scheduling based on alternating direction method of multipliers 12

Distributed optimization strategy for multi-region power sch...

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12th World Congress on intelligent Control and Automation, WCICA 2016

作者： Sun, Chenlin Wu, Jiang Gao, Feng Guan, Xiaohong State Key Laboratory for Manufacturing System Engineering of xi'An Jiaotong University Xi'an710049 China Ministry of Education Key Lab for Intelligent Networks and Networks Security of xi'An Jiaotong University Xi'an710049 China

ISBN: (纸本)9781467384148

The large-scale and frequent cross-regional electricity allocations bring about the critical need to coordinate multi-region power scheduling. It is recognized that each sub-systems' taking charge of own scheduling makes the ideal centralized optimization method infeasible. In this paper, a distributed optimization strategy based on alternating direction method of multipliers (ADMM) is put forward to solve this problem. The strategy can achieve optimal solution of global power system as the ideal centralized optimization method does, by adding steps of information exchange and iterations of decision variables to subsystems' independent scheduling. The distributed bid cost minimization model with a price-wise constant bidding curve is built to describe the multi-region scheduling problem as precisely as possible. To suit the distributed model, the standard ADMM is improved, by expanding the size of sub-systems, adding inequality constraints, and considering the complex coupling relationship between sub-systems. This coordinating strategy uses the framework of augmented Lagrangian to decompose the scheduling problem into a distributed scheduling model for regional power grid, achieving global optimal solution by updating decision variables of each sub-system and Lagrange multipliers with mapping of sub-system information. Simulations on IEEE 30 system are conducted to show the computational performance and solution quality of the proposed method. © 2016 IEEE.

关键词： Scheduling

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Synergetic Dispatch of Power system with Integration of Large-Scale Renewable Energy

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Energy and Power Engineering 2017年第4期9卷 589-597页

作者： Si Yang Zhongfu Jiang Shan Li Wenbo Li Guojing Liu Xiangyang Cao Nan Wang Lina Zhang Economic & Technology Research Institute State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Shandong Electric Power Research Institute Jinan China Economic & Technology Research Institute State Grid Jiangsu Electric Power Company Nanjing China

This paper comes up with a concept of synergetic advanced dispatch in order to deal with the ever-increasing uncertainty in power grid: Decision is made with respecting to AGC units and active load on the basis of synergetic unit combination such that active load’s advantages in regulation speed is put to full use in achieving efficient cooperation with renewable energy power. Meanwhile, factoring in allowable frequency variation range during decision-making may help to reduce AGC units’ regulation load and improve power grid's capacity of accommodating renewable energy power. Calculation example analysis suggested that the model and technique presented in this paper is capable of efficient coordination between active loads and renewable energy power, delivering friendly transition with day-ahead dispatch and AVC control.

关键词： Power system Synergetic Dispatch Renewable Energy Generation Frequency

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A new interpretation of commutation failure risk in multi-infeed HVDC systems

A new interpretation of commutation failure risk in multi-in...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Xiaohui Wang Yu Bai Qingjun Chen Yadong Gao Jinshan Luo Yan Zhang Key Laboratory of Power System Intelligent Dispatch and Control (Ministry of Education) Shandong University Jinan China Zhejiang Huayun Electric Power Engineering Design & Consulting Co. Ltd. Hangzhou China State Power Economic Research Institute Beijing China

ISBN: (纸本)9781538614280

A new interpretation of commutation failure risk, considering the circuit topology when commutation, is presented in this paper. The basic idea is to compare the difference of commutation angle of the relevant inverter after a new HVDC system is constructed. The equivalent circuit is indicated to deduce and derive the commutation angle. Then analysis on the impact factor of commutation angle is carried out. As a result, the equivalent commutation impedance of the relevant inverter is proved to increase, and so is the commutation angle. Hence the risks of commutation failure are enlarged. Validated by case studies in PSCAD/EMTDC, the presented interpretation is confirmed.

关键词： HVDC transmission Inverters Impedance Planning Hybrid power systems Power grids

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Design, development and testing of large-caliber precision CNC double-sided polishing machine 32

Design, development and testing of large-caliber precision C...

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32nd Annual Meeting of the American Society for Precision Engineering, ASPE 2017

作者： Sun, Xinyao Zhang, Zhanyu Chen, Junyin Zha, Jun Chen, Yaolong Xi'An Jiaotong University State Key Laboratory for Manufacturing System Engineering Xi'an Shaanxi China Jiangsu Yichuang Institute of Intelligent Equipment Co.Ltd. Xuzhou Jiangsu China

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Synergetic Dispatch of Power system with Integration of Large-Scale Renewable Energy

Synergetic Dispatch of Power System with Integration of Larg...

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The 9th Asia-Pacific Power and Energy Engineering Conference (APPEEC 2017)

作者： Si Yang Zhongfu Jiang Shan Li Wenbo Li Guojing Liu Xiangyang Cao Nan Wang Lina Zhang Economic&Technology Research Institute State Grid Shandong Electric Power Company State Grid Shandong Electric Power Company Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University) State Grid Shandong Electric Power Research Institute Economic&Technology Research Institute State Grid Jiangsu Electric Power Company

This paper comes up with a concept of synergetic advanced dispatch in order to deal with the ever-increasing uncertainty in power grid: Decision is made with respecting to AGC units and active load on the basis of synergetic unit combination such that active load's advantages in regulation speed is put to full use in achieving efficient cooperation with renewable energy power. Meanwhile,factoring in allowable frequency variation range during decision-making may help to reduce AGC units' regulation load and improve power grid's capacity of accommodating renewable energy power. Calculation example analysis suggested that the model and technique presented in this paper is capable of efficient coordination between active loads and renewable energy power,delivering friendly transition with day-ahead dispatch and AVC control.

关键词： Power system Synergetic Dispatch Renewable Energy Generation Frequency

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Cloud-aided state estimation of a full-car semi-active suspension system

arXiv

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arXiv 2017年

作者： Zhang, Lixian Yin, Xunyuan Shen, Junnan Yu, Haitao Research Institute of Intelligent Control and System Harbin Institute of Technology Harbin150080 China Department of Chemical and Materials Engineering University of Alberta EdmontonT6G 2V2 Canada State Key Laboratory of Robotics and Systems Harbin Institute of Technology 150001 China

In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a vehicle-to-cloud-to-vehicle (V2C2V) scheme is utilized. Moving horizon estimation is introduced for the state estimation system design. All the optimization problems are solved in a remotely-embedded agent with high computational ability. Measurements and state estimates are transmitted between the vehicle and the remote agent via networked communication channels. The effectiveness of the proposed method is illustrated via a set of simulations. Copyright © 2017, The Authors. All rights reserved.

关键词： state estimation

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Cooperative robust output regulation for second-order nonlinear multi-agent systems with an unknown exosystem

Cooperative robust output regulation for second-order nonlin...

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IEEE Annual Conference on Decision and Control

作者： Yi Dong Jie Chen Jie Huang Department of Automation Chinese University of Hong Kong Shatin N.T. Hong Kong State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Department of Mechanical and Automation Engineering Chinese University of Hong Kong Shatin N.T. Hong Kong

The cooperative robust output regulation problem for a class of second-order nonlinear multi-agent systems with an exactly known exosystem has been studied recently. This paper further studies the same problem for a class of second-order nonlinear multi-agent systems subject to an unknown exosystem. We first show that the problem can be converted into the adaptive stabilization problem for a modified augmented system composed of the given multi-agent system and the distributed internal model. Due to the uncertain parameter in the exosystem, the augmented system is a nonlinear multi-input system with both dynamic and static uncertainties. By combining the adaptive control technique and the robust control technique, we solve our problem by a distributed adaptive robust state feedback controller.

关键词： Multi-agent systems Mathematical model Robustness Robust control Automation Electronic mail Nickel

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Research of Visual Servo Control system for Space intelligent Robot

Research of Visual Servo Control System for Space Intelligen...

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2015 IEEE Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： Liang Changchun Zhang Xiaodong Pan Dong Liu Xin Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System Engineering CAST

ISBN: (纸本)9781479919819

Space intelligent robotic systems are expected to play an increasingly important role in the *** robotic onorbital service,whose key is the tracking and capturing technology,becomes research hot in recent *** this paper,the authors propose a vision servo control system for target *** manipulator will be an intelligent robotic system with large-scale movement,functional agility,and autonomous ability,and it can be operated by astronauts in the space station or be controlled by the ground operator in the remote operation *** realize the autonomous movement and capture mission of SRM,a kind of autonomous programming strategy based on multi-camera vision fusion is designed and the selection principle of object visual position and orientation measurement information is defined for the better *** control system hierarchy is designed and reliability is considering to guarantee the abilities of control *** last,a ground experiment system is set up based on the concept of robotic control *** that,the autonomous target capturing experiments are *** experiment results validate the proposed algorithm,and demonstrates that the control system can fulfill the needs of function,real-time and reliability.

关键词： Control system On-orbital service Space robot Vision servo

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Semantic and Neighborhood Preserving Dictionar Learning for Symmetric Positive-Definite Matrice

Semantic and Neighborhood Preserving Dictionar Learning for ...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Daming Li Lei Chen Fei Wang The School of Electronic and Information Engineering Xi’an Jiaotong University Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering

The symmetric positive-definite(SPD) matrices form a Riemannian manifold, and sparse representation on the SPD matrix manifold has received increasingly attentions recently. In this paper, we propose a semantic and neighborhood preserving dictionary learning method for the sparse representation on the SPD matrix manifold. The semantic preserving ensures that the semantic similarity information can be kept while sparse representation, and the neighborhood preserving is introduced to better reflect the geometrical structure of the manifold. To effectively model the semantic similarity of the SPD matrices and the geometrical structure, a Laplacian smooth operator is incorporated into the objective function of dictionary *** the learned dictionary, the obtained sparse representations of SPD matrices are more discriminative. Experimental results on publicly available datasets demonstrate the effectiveness of the proposed method.

关键词： Dictionary learning symmetric positive-definite matrix sparse representation Riemannian manifold

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