A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet

Sun, Qiuye; Han, Renke; Zhang, Huaguang; Zhou, Jing; Guerrero, Josep M.

doi:10.1109/tsg.2015.2412779

Cited by 369 publications

(141 citation statements)

References 41 publications

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“…In view of this, some DSC approaches have been proposed to achieve voltage/frequency restoration [8], [14], reactive sharing [9], [17], imbalance voltage compensation [13], etc. Specially, based on the distributed cooperative control of multi-agent systems [10], [11], a DSC method for voltage regulation was proposed [8], which relies on the feedback linearization technique with high gains. However, high gain has a negative impact on the overall stability of MGs.…”

Section: Introductionmentioning

confidence: 99%

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Lai

et al. 2017

IEEE Trans. Ind. Inf.

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256

137

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Abstract-This paper presents a robust distributed secondary control (DSC) scheme for inverter-based microgrids (MGs) in a distribution sparse network with uncertain communication links. By using the iterative learning mechanics, two discrete-time DSC controllers are designed, which enable all distributed energy resources (DERs) in a MG to achieve the voltage/frequency restoration and active power sharing accuracy, respectively. In special, the secondary control inputs are merely updated at the end of each round of iteration, and thus each DER only needs to share information with its neighbors intermittently in a lowbandwidth communication manner. This way, the communication costs are greatly reduced, and some sufficient conditions on the system stability and robustness to the uncertainties are also derived by using the tools of Lyapunov stability theory, algebraic graph theory, and matrix inequality theory. The proposed controllers are implemented on local DERs, and thus no central controller is required. Moreover, the desired control objective can also be guaranteed even if all DERs are subject to internal uncertainties and external noises including initial voltage and/or frequency resetting errors and measurement disturbances, which then improves the system reliability and robustness. The effectiveness of the proposed DSC scheme is verified by the simulation of an islanded MG in MATLAB/SimPowerSystems.

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Section: Introductionmentioning

confidence: 99%

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Lai

et al. 2017

IEEE Trans. Ind. Inf.

Self Cite

256

137

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“…Although the Energy Internet is promising and some of its operation and planning problems have already been investigated, there are still many crucial technical obstacles to be resolved, such as developing energy storage devices of large capacity and low loss, or an energy transmission system of high efficiency and low cost, or energy conversion and transformation components with the intelligence and flexibility of information system components [100][101][102][103][104][105][106].…”

Section: Research Prospectsmentioning

confidence: 99%

A comprehensive review of Energy Internet: basic concept, operation and planning methods, and research prospects

Cao

Tan

et al. 2017

J. Mod. Power Syst. Clean Energy

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With the intensifying energy crisis and environmental pollution, the Energy Internet and corresponding patterns of energy use have been attracting more and more attention. In this paper, the basic concept and characteristics of the Energy Internet are summarized, and its basic structural framework is analyzed in detail. On this basis, couplings between the electric power system and other systems such as the cooling and heating system, the natural gas system, and the traffic system are analyzed, and the operation and planning of integrated energy systems in both deterministic and uncertain environments are comprehensively reviewed. Finally, the research prospects and main technical challenges of the Energy Internet are discussed.

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“…However, this simple approach reduces the controller capability and even leads to stability problems [6]. Considering this, a few of decentralized coordinated control strategies of power system have been proposed [7][8][9][10][11]. A hierarchical decentralized coordinated control strategy is proposed to control the excitation system of synchronous generator (SG), where the interaction terms are considered as bounded disturbances which are suppressed by a ∞ controller [8].…”

Section: Introductionmentioning

confidence: 99%

“…A direct feedback linearization based decentralized coordinated control of excitation and steam valve is proposed, where the upper bound of interaction terms is estimated [9]. A multiagent system based strategy is also used to control a multimachine power system [10,11]. According methodologies used, decentralized coordinated control strategies of power system can be divided into two types, with and without communication system support.…”

Section: Introductionmentioning

confidence: 99%

Neural Adaptive Decentralized Coordinated Control with Fault‐Tolerant Capability for DFIGs under Stochastic Disturbances

Zhang

Cao

et al. 2017

Mathematical Problems in Engineering

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At present, most methodologies proposed to control over double fed induction generators (DFIGs) are based on single machine model, where the interactions from network have been neglected. Considering this, this paper proposes a decentralized coordinated control of DFIG based on the neural interaction measurement observer. An artificial neural network is employed to approximate the nonlinear model of DFIG, and the approximation error due to neural approximation has been considered. A robust stabilization technique is also proposed to override the effect of approximation error. A 2 controller and a ∞ controller are employed to achieve specified engineering purposes, respectively. Then, the controller design is formulated as a mixed 2 / ∞ optimization with constrains of regional pole placement and proportional plus integral (PI) structure, which can be solved easily by using linear matrix inequality (LMI) technology. The results of simulations are presented and discussed, which show the capabilities of DFIG with the proposed control strategy to fault-tolerant control of the maximum power point tracking (MPPT) under slight sensor faults, low voltage ride-through (LVRT), and its contribution to power system transient stability support.

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A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet

Abstract: A multi-agent-based consensus algorithm for distributed coordinated control of distributed generators in the energy internet," IEEE Trans. Smart Grid, 2015.

Cited by 369 publications

References 41 publications

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

A comprehensive review of Energy Internet: basic concept, operation and planning methods, and research prospects

Neural Adaptive Decentralized Coordinated Control with Fault‐Tolerant Capability for DFIGs under Stochastic Disturbances

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