Chunxia Dou

Nanjing University of Posts and Telecommunications

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Dong Yue

Nanjing University of Posts and Telecommunications

110

Zhanqiang Zhang

Nanjing University of Posts and Telecommunications

Huifeng Zhang

Xiamen University

Bo Zhang

Yanshan University

Zihao Cheng

First Affiliated Hospital of Henan University

Xiangpeng Xie

Nanjing University of Posts and Telecommunications

Zhiqian Bo

Kunming University of Science and Technology

Kai Ma

State Grid Corporation of China (China)

Tengfei Zhang

Nanjing University of Posts and Telecommunications

Xing-Bei Jia

Yanshan University

Cooperative Institutions

Nanjing University of Posts and Telecommunications

Yanshan University

Chinese Academy of Sciences

Huazhong University of Science and Technology

Institute of Electrical Engineering

Peking University

Shanghai Jiao Tong University

Tsinghua University

Harbin Institute of Technology

Sichuan University

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Complex system inference-control and fuzzy logic modeling

Chunxia Dou Julio Macedo

This report systematically reviews the historical development, theoretical research and practical application of the fuzzy logic inference-control modeling (FLM) for the complex systems-multiple-input-multiple-output (MIMO) systems and nonlinear systems. The most common and important issues related with fuzzy models: self-organizing FLM, adaptive FLM, general purpose FLM, Mamdani-FLM and Tagagi-Sugeno-Kang FLM, fuzzy vector-spaces, hierarchical structured FLM, and fuzzy phase-plane, are exhibited, analyzed, or compared. The survey reveals that the design of inference and control system, especially for MIMO systems and nonlinear systems with uncertainty, can be considered through multiple scenarios, not just their rigid dynamic mathematical models but also fuzzy logic models.

10.1109/isuma.1995.527724

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Citations (1)

Distributed Control Strategy of Microgrid Based on the Concept of Cyber Physical System

Electric Power Components and Systems (2019)

Bo Zhang Chunxia Dou Dong Yue Zhanqiang Zhang Kai Ma

For distributed energy resources (DERs) in islanded microgrid (MG), to improve the control effect on the output voltages and frequency from droop control, a novel distributed control strategy is proposed in this article based on the concept of cyber physical system (CPS). The novel control structure is consisted by the cyber and the physical layers. In the cyber layer: firstly, the communication structures of overall microgrid and single DER are constructed; then, based on the communication structures, the influence of time-delay (delay) and packet loss (loss) on consensus control is analyzed in this article; And then, an event-triggered mechanism combined with adapt virtual leader-following consensus control (AVLFCC) and predictive compensation is proposed in this layer. It is used to solve the problem of time-varying delay and loss rate in the process of consensus control. In the physical layer: firstly, the droop control is used as the primary control on the output voltages and frequency of DERs; then, a novel secondary control method is proposed by using the event-triggered mechanism. And finally, the simulation results confirm the effectiveness of the novel distributed control strategy under communication problems (delay and loss) and during plug-and-play operation.

Microgrid

Cyber-physical system

10.1080/15325008.2018.1564227

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Citations (1)

Optimization on vulnerability analysis and redundancy protection in interdependent networks

Physica A Statistical Mechanics and its Applications (2019)

Lei Chen Dong Yue Chunxia Dou

Vulnerability

Cascading failure

Interdependent networks

Robustness

Power grid

10.1016/j.physa.2019.04.235

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Citations (16)

Neighbor-prediction-based networked hierarchical control in islanded microgrids

International Journal of Electrical Power & Energy Systems (2018)

Zhanqiang Zhang Chunxia Dou Dong Yue Bo Zhang Fenglei Li

Robustness

Microgrid

10.1016/j.ijepes.2018.07.057

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Citations (16)

MAS-Based Distributed Cooperative Control for DC Microgrid Through Switching Topology Communication Network With Time-Varying Delays

IEEE Systems Journal (2017)

Chunxia Dou Dong Yue Zhanqiang Zhang Kai Ma

A multiagent system based distributed cooperative control is proposed for a dc microgrid. First, the multiagent system based control scheme is built, where each distributed energy resource unit is associated with a first-level unit control agent to deal with primary control and a secondary-level distributed cooperative control agents to implement secondary control. For the secondary control purposes of global voltage regulation and proportional current sharing, both voltage and current regulators are installed in each secondary-level agent. Their consensus secondary control protocols are designed by using the state information exchanged among only adjacent secondary-level control agents based on a switching topology communication network with time-vary delays. Then these protocols are applied into the associated first-level agent to structure an improved outer-loop droop controller. According to the reference set points corrected by the improved droop controller, an inner-loop voltage/current robust controller is designed in place of the conventional PI control to regulate the voltage and current of distributed energy resource unit. Finally, the validity of the proposed control is testified by means of simulation results.

Microgrid

10.1109/jsyst.2017.2726081

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Citations (77)

Management and Control for Smart Microgrid Based on Hybrid Control Theory

Electric Power Components and Systems (2011)

Chunxia Dou Dong-Le Liu Xing-Bei Jia Fang Zhao

Abstract The increased penetration of distributed generations introduces considerable complexity in the network operation, as well reliability if the distributed generations are effectively controlled and managed. Hence, the issues of management and control for smart microgrids become more significant. With respect to a large power system, a microgrid shows more conspicuous interactive hybrid dynamic behaviors. In this study, a novel hybrid model is first founded to clearly explain the hybrid interactive behaviors of microgrids. On the basis of the model, a two-level hierarchical hybrid control is proposed based on the hybrid system control theory in terms of interactive adjustment between the continuous controller at the lower level and discrete management at the upper level. The upper-level discrete management strategies are responsible for guaranteeing stability and security of the overall microgrid while constraining it to meet the load demand during significant disturbances, as well as minimizing the operating cost and reducing the emission during normal situations. The lower-level local continuous controllers are responsible for regulating the dynamic performance of each controlled unit to reach a satisfactory level. The effectiveness of the proposed hybrid control is demonstrated through simulation example.

Microgrid

Economic Dispatch

10.1080/15325008.2010.541414

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Citations (32)

Multi-agent System Based Energy Management of Microgrid on Day-ahead Market Transaction

Electric Power Components and Systems (2016)

Chunxia Dou Xing-Bei Jia Heng Li Mengfei Lv

This article focuses on the multi-agent system-based energy management issue of an autonomous microgrid (MG) and proposes a novel approach that a distributed generation unit as a rational agent participates in energy scheduling and profit allocation under a day-ahead market environment. First, a bi-level multi-agent system is structured, and a bi-level day-ahead bidding model is formulated for the bidding optimization of distributed generation. Subsequently, the bi-level bidding model is transformed into a mixed-integer linear program from a mathematical program with equilibrium constraints with binary expansion of quantity price bids. Then formulation of an equilibrium problem with equilibrium constraints is processed for all distributed generation units to obtain the Nash equilibrium solution based on game theory. An auxiliary optimization problem is also formulated to find the unique Nash equilibrium for the bidding game in consideration of maximizing the transaction price. Both non-cooperative and cooperative bidding games are finally addressed by the means of the proposed energy management approach in the designed bi-level multi-agent system market.

Microgrid

10.1080/15325008.2016.1158216

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Citations (11)

Two-Stage Optimal Operation Strategy of Isolated Microgrid With TSK Fuzzy Identification of Supply Security

IEEE Transactions on Industrial Informatics (2019)

Huifeng Zhang Dong Yue Chunxia Dou Xiangpeng Xie Gerhard P. Hancke

Due to the uncertainty of intermittent energy and system load, it is a big challenge to optimally operate an isolated power system. This article proposes a two-stage optimal operation strategy with a Takagi–Sugeno–Kang (TSK) fuzzy system to address the supply security under uncertainty circumstance. For proper analysis of the uncertainty characteristics, adjustable uncertainty parameters of intermittent energy resource and system load are taken as fuzzy sets; with the consideration of the robustness of these uncertainty parameters on isolated power system, it creates a supply-security identification model with the TSK fuzzy approach under radial basis function (RBF) neural network, and deduces optimal weight values with a recursive least square method. For properly avoiding potential risks, security index is classified into several degrees, each degree of risk can switch a different operation model, which can ensure the supply security of an isolated power system. For properly solving the optimization model, gradient descent-based multiobjective cultural differential evolution is employed to minimize economic cost and emission rate simultaneously. With simulations on isolated regional network, the obtained results reveal that the proposed method can be a viable alternative for optimal operation in isolated power systems.

Robustness

Microgrid

Identification

10.1109/tii.2019.2929747

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Citations (11)

Improvement of transient stability for power systems using wide-area measurement signals

Electrical Engineering (2009)

Chunxia Dou Shiliang Guo Xingzhong Zhang

Transient (computer programming)

Linearization

Transmission system

10.1007/s00202-009-0125-y

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Citations (9)

Data-Driven Distributed Optimal Consensus Control for Unknown Multiagent Systems With Input-Delay

IEEE Transactions on Cybernetics (2018)

Huaipin Zhang Dong Yue Chunxia Dou Wei Zhao Xiangpeng Xie

This paper is concerned with data-driven distributed optimal consensus control for unknown multiagent systems (MASs) with input delays. The input-delayed MAS model is first converted into a delay-free form using a model reduction method. By establishing an equivalent relationship on the predesigned performance indices of the two MASs, optimal consensus control of input-delayed MAS can be fully transformed to that of delayfree MAS. Based on the coupled Hamilton-Jacobi equations and Bellman's optimality principle, optimal consensus control policies are derived for the transformed delay-free MAS. Then a policy iteration algorithm based on distributed asynchronous update mechanism is proposed to learn the coupled Hamilton-Jacobi- Bellman equations online. To perform the proposed data-driven adaptive dynamic programming algorithm, we adopt the measured data-based critic-actor neural networks to approximate the value functions and the control policies, respectively. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.

10.1109/tcyb.2018.2819695

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Citations (94)