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Chinese Automation Congress (CAC)

作者： Jian, Long Tian, Jianyan Li, Lihong Li, Jifu Yang, Shengqiang Taiyuan Univ Technol Coll Elect & Power Engn Taiyuan Peoples R China Taiyuan Univ Technol Coll Mech & Vehicle Engn Taiyuan Peoples R China

ISBN: (纸本)9781728176871

This paper studies the dynamic average consensus problem of multi-robot systems with undirected communication graph topology, which is essentially a network Euler-Lagrange (EL) system. First, assume that EL agents' reference inputs in heterogeneous EL systems are different from each other and time-varying. Second, we propose a distributed control algorithm that allows EL robots to track the average value of time-varying reference inputs. Finally, one numerical example is presented to illustrate the effectiveness.

关键词： Multi-robot systems Networked Euler-Lagrange systems (EL systems) Dynamic average consensus distributed control algorithm

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Modeling and Stability Analysis of a DC Microgrid Employing distributed control algorithm 9

Modeling and Stability Analysis of a DC Microgrid Employing ...

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9th IEEE International Symposium on Power Electronics for distributed Generation Systems (PEDG)

作者： Ghanbari, Niloofar Mobarrez, M. Bhattacharya, S. North Carolina State Univ Dept Elect & Comp Engn Raleigh NC 27695 USA ABB Corp Res Ctr Raleigh NC USA

ISBN: (纸本)9781538667057

DC microgrids have higher efficiency, reliability and lower costs compared to the AC systems due to linking DC loads to the DC sources and reducing conversion stages. Thus, they are gaining more and more popularity and the interest in DC microgrids is increasing. In this paper, we are deriving mathematical model of a DC microgrid consisting of photovoltaic (PV) arrays, Battery Energy Storage Systems (BESS) and grid-tied converter, employing distributed control algorithm. The core structure of this work is mathematical modeling of all converters in the discussed microgrid with their voltage, current and droop controllers. Then, the stability analysis for the system and its control algorithm is performed to ensure the stability of DC microgrid in all operating modes. Finally, MATLAB/Simulink is used for demonstrating the capability of the mathematical model in modeling the DC microgrid and its control algorithm.

关键词： DC Microgrid distributed control algorithm Power Balancing Droop control Method Stability Analysis State Space Modeling

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distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks

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NEUROCOMPUTING 2016年第PartB期174卷 928-936页

作者： Wang, Ding Ma, Hongwen Liu, Derong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China

A neural-network-based distributed control algorithm is established for bipartite consensus of the nonlinear multi-agent systems with time delays. By using a backstepping technique, a desired reference signal is introduced. Then, neural networks are used to learn the unknown nonlinear dynamics of the multi-agent systems. In order to eliminate the effects of time delays, the information of a constructed Lyapunov-Krasovskii functional is included in the distributed control algorithm. However, it can induce singularities in the distributed control algorithm. Therefore, a a-function is utilized to circumvent this problem. With the developed distributed control algorithm, bipartite consensus can be reached if the communication graph is structurally balanced. Finally, simulation examples are conducted to demonstrate the validity of the main theorem. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Bipartite consensus distributed control algorithm Multi-agent systems Neural networks Time delays

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Transmission Lines Overload Alleviation: distributed Online Optimization Approach

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2021年第5期17卷 3197-3208页

作者： Ding, Li Hu, Ping Liu, Zhi-Wei Wen, Guanghui Wuhan Univ Sch Elect Engn & Automat Wuhan 430072 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Minist Educ Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Southeast Univ Sch Math Dept Syst Sci Nanjing 210096 Peoples R China

The risk of transmission lines overload in the power grid is increasing with the large-scale integration of fluctuating distributed renewable energies. Meanwhile, the requirement for accommodating more distributed resources in the future smart grids promotes the transition from the current highly centralized control structure toward a distributed one. In this article, we propose a distributed corrective control approach to mitigate line overloads in a real-time and close-loop manner. Unlike the conventional centralized approach, only simple computation and local information exchange are required to update the local corrective control action. This makes it possible to mitigate line overloads timely and adapt to the topology changes of grids. Furthermore, the introduction of system measurements and security constraints in the proposed algorithm ensures an effective and secure corrective control without new line overloads. The performance of the proposed distributed approach is demonstrated in the IEEE 14-Bus and 118-Bus systems.

关键词： distributed control algorithm line overload multiagent system optimal power flow (OPF)

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Topology-Aware distributed Smart Grid control using a Clustering-Based Utility Maximization Approach 20

Topology-Aware Distributed Smart Grid Control using a Cluste...

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35th Annual ACM Symposium on Applied Computing (SAC)

作者： Stuebs, Marius Ipach, Hanko Becker, Christian Univ Hamburg Hamburg Germany Hamburg Univ Technol Hamburg Germany

ISBN: (纸本)9781450368667

Efficiently balancing supply and demand in the electrical distribution grid is an important Smart Grid service. The development of applicable agent-based concepts for match-making energy generators with consumers is an active research field. Implementing Smart Grids as a system of Micro Grid systems, we propose an efficient decentralized optimization scheme, which avoids central components in order to increase dependability, robustness against communication failures, and denial-of-service attacks. The concept utilizes traditional peer-to-peer functionality in combination with locality-aware routing: Two explicit clusterings are evaluated awl compared to the fully-meshed communication approach. We investigate the impact of node clustering on the optimality and locality of the distributed Smart Grid control algorithm and show that our approach significantly reduces the electrical losses in the examined power distribution grid compared to the centralized approach.

关键词： Smart Grids System of Systems Cyber-Physical System distributed control algorithm Topological Clustering Utility Maximization Resilience controller Hardware-in-the-Loop Iterative Optimization Electrical Power Balancing

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Velocity-free coordinated attitude synchronisation and tracking control of multiple spacecraft

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IET control THEORY AND APPLICATIONS 2020年第3期14卷 461-469页

作者： Liu, Xiaoping Zou, Yao Meng, Ziyang You, Zheng Tsinghua Univ Dept Precis Instrument Beijing 100084 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China

This study investigates the coordinated attitude synchronisation and tracking problems of multiple spacecraft without angular velocity measurements. The spacecraft attitudes are represented by modified Rodrigues parameters. First, for the attitude synchronisation problem, a distributed control algorithm with local information interaction is developed by introducing two auxiliary systems to address the velocity-free problem. Next, for the attitude tracking problem, the authors first design a non-linear distributed observer for each follower spacecraft such that the leader reference information can be estimated accurately. By treating this estimation information as a reference, a tracking control with the help of an auxiliary system is then developed for the attitude tracking without using angular velocity measurements. For both cases, the asymptotic stability of the overall closed-loop systems is proven in terms of Lyapunov theory. Finally, numerical examples are given to validate the effectiveness of the proposed distributed control algorithms.

关键词： attitude control control system synthesis asymptotic stability adaptive control space vehicles Lyapunov methods closed loop systems synchronisation distributed control attitude synchronisation problem distributed control algorithm local information interaction auxiliary system velocity-free problem attitude tracking problem nonlinear distributed observer follower spacecraft leader reference information estimation information tracking control angular velocity measurements velocity-free coordinated attitude synchronisation multiple spacecraft tracking problems spacecraft attitudes modified Rodrigues parameters

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Real-Time distributed control of Battery Energy Storage Systems for Security Constrained DC-OPF

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IEEE TRANSACTIONS ON SMART GRID 2018年第3期9卷 1580-1589页

作者： Xu, Yinliang Hu, Jiefeng Gu, Wei Su, Wencong Liu, Wenxin Sun Yat Sen Univ SYSU CMU Joint Inst Engn SYSU CMU Shunde Int Joint Res Inst Sch Elect & Informat Technol Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510006 Guangdong Peoples R China Hong Kong Polytech Univ Dept Elect Engn Hong Kong Hong Kong Peoples R China Southeast Univ Sch Elect Engn Nanjing 210096 Jiangsu Peoples R China Univ Michigan Dept Elect & Comp Engn Coll Engn & Comp Sci Dearborn MI 48128 USA Lehigh Univ Dept Elect & Comp Engn Bethlehem PA 18015 USA

The introduction of fast-response battery energy storage system (BESS) provides a number of advantages to address the new challenges of smart grids, including improving the reliability and security of the power grids. This paper proposes a real-time distributed control algorithm to the corrective security-constrained DC optimal power flow problem for transmission network. The objective is to minimize the adjustment of the BESSs, while maintaining the supply-demand balance and ensuring no security constraint violations in the post-contingency state for the short-term period. Comparing to the conventional centralized methods, only simple local computation and information exchange with neighbors are required to update the local control signal, which leads to fast response of the BESSs to alleviate the impact of the transmission line outage. Real-time simulation results of the modified 6-bus and 24-bus systems demonstrate that the dynamic performances of proposed distributed algorithm satisfy standard requirements and indicate its applicability for practical power grid.

关键词： distributed control algorithm real-time implementation security-constrained battery energy storage DC optimal power flow

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State-Space Modeling and Reachability Analysis for a DC Microgrid 34

State-Space Modeling and Reachability Analysis for a DC Micr...

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34th Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

作者： Ghanbari, Niloofar Shabestari, Parisa M. Mehrizi-Sani, Ali Bhattacharya, Subhashish North Carolina State Univ Dept Elect & Comp Engn Raleigh NC 27695 USA Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA

ISBN: (纸本)9781538683309

In a DC microgrid containing parallel voltage sources, distributed control algorithms such as droop control methods are mainly employed. These controllers depend on the nominal bus voltage and the droop coefficients to operate properly. In the DC microgrid with PV arrays there are uncertainties in the PV current. To analyze the transient behavior of this uncertain system simulation-based techniques cannot be used, since they cannot consider the uncertainties. To analyze the uncertain DC microgrid, reachability analysis is used to find the limits of the system variables from a given state-space model of the system. In this paper, using the state-space model of the DC microgrid, reachability analysis is performed to analyze effectiveness of the droop control method in the existence of uncertainties. Simulation and experimental case studies are performed to verify the reachability analysis results.

关键词： DC microgrid distributed control algorithm droop control reachability analysis state-space modeling

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Game-theoretic dispatch control in microgrids considering network losses and renewable distributed energy resources integration

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IET GENERATION TRANSMISSION & DISTRIBUTION 2017年第6期11卷 1583-1590页

作者： Mojica-Nava, Eduardo Rivera, Sergio Quijano, Nicanor Univ Nacl Colombia Dept Elect & Elect Engn Bogota Colombia Univ Los Andes Dept Elect & Elect Engn Bogota Colombia

A distributed population games algorithm is proposed to solve the dispatch problem in microgrids to respond dynamically to the requirements of the system. This study extends the distributed replicator dynamics (RD) algorithm, it has four main contributions. First, the authors apply the distributed RD to a distributed generator dispatch over a communication topology in a microgrid test system. Second, they consider power losses of the networked microgrid on the distributed RD. Third, they propose an algorithm to estimate robust loss coefficients of the network considering different demand patterns through a combination of two heuristic optimisation algorithms. Finally, the uncertainties of wind power are considered as a renewable generation integration case. The simulation results show that the proposed distributed control algorithm of a microgrid is able to integrate the economic dispatch problem with frequency control considering the entire network topology.

关键词： distributed power generation power generation control frequency control game theory demand side management wind power plants optimisation distributed control power generation economics game-theoretic dispatch control network losses renewable distributed energy resource integration distributed population games algorithm distributed replicator dynamics algorithm distributed RD algorithm distributed generator dispatch communication topology microgrid test system robust loss coefficient estimation demand patterns heuristic optimisation algorithms wind power uncertainties renewable generation integration distributed control algorithm economic dispatch problem frequency control network topology

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Collaborative processing in distributed control for resource constrained systems

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IET control THEORY AND APPLICATIONS 2017年第11期11卷 1796-1806页

作者： Ma, Wann-Jiun Gupta, Vijay Quevedo, Daniel E. Duke Univ Dept Mech Engn & Mat Sci Durham NC 27706 USA Univ Notre Dame Dept Elect Engn Notre Dame IN 46556 USA Paderborn Univ Fac Elect Engn & Informat Technol EIM E Paderborn Germany

A distributed control algorithm using a new idea of collaborative processing for networked control systems with limited computational resources is proposed. In a networked control system, the processing unit is required to complete multiple tasks (such as control, sensing, signal processing, etc.) in a timely manner. Due to limited computational resources that are available to the processing unit, the assumption that the control input is computed at every time step may no longer hold. There are multiple remote controllers and each controller controls its own plant is considered. The authors give the controllers within a neighbourhood the ability to compute their neighbours' control inputs. By suitable design of the processor collaboration algorithm, their are able to ensure the stochastic stability of the entire system even if there are random computation interruptions occurring at different time steps. Numerical results verify the effectiveness of the algorithm.

关键词： networked control systems distributed control groupware telecontrol stochastic systems stability multiprocessing systems resource constrained systems distributed control algorithm collaborative processing networked control systems computational resources remote controllers processor collaboration algorithm stochastic stability random computation interruptions

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