Distributed power flow loss minimization control for future grid

Nakayama, Kiyoshi; Zhao, Changhong; Bic, Lubomir; Dillencourt, Michael B.; Brouwer, Jack

doi:10.1002/cta.1999

Cited by 6 publications

(6 citation statements)

References 25 publications

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“…2 clearly shows data sharing based on the provided protocol. In addition, the closed-form of V k and δ k for the kth bus can be shown by (27) and (28), where…”

Section: Distributed Ac Power Flowmentioning

confidence: 99%

“…Dagdougui and Sacile proposed a decentralised control strategy of power flow to minimise the cost of energy storage and power exchanged between smart microgrids, as well as enable the system for demand support [27]. In [28], Nakayama et al present a distributed approach to minimise power flow loss function of the transmission and distribution lines. Their algorithm is designed based on updating the loop variables.…”

Section: Introductionmentioning

confidence: 99%

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Fully distributed AC power flow (ACPF) algorithm for distribution systems

et al. 2019

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Power flow is one of the basic tools for system operation and control. Due to its nature, which determines the complex nodal voltages, line flows, currents and losses, it enforces a large computation load on a power system. A distributed/ decentralised algorithm unburdens the central controller and shares the total computation load with all agents. Therefore, such algorithms are an effective method for dealing with power flow complexity. In this study, a distributed method based on a linearised AC power system is proposed. First, the linearisation procedure of a comprehensive non-linear AC power flow (ACPF) is detailed. Second, a distributed method is presented based upon the linear ACPF equations. Three case studies are presented to evaluate the overall performance of the proposed method. In the first case study, the accuracy level of both linearised ACPF and distributed ACPF is assessed. In the second case study, the dynamic performance of distributed ACPF is investigated based on the load sudden changes. In the third case study, the scalability of the proposed distributed ACPF is evaluated by applying it to a larger power system.

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“…2 clearly shows data sharing based on the provided protocol. In addition, the closed-form of V k and δ k for the kth bus can be shown by (27) and (28), where…”

Section: Distributed Ac Power Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fully distributed AC power flow (ACPF) algorithm for distribution systems

et al. 2019

View full text Add to dashboard Cite

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“…A promising measure is their decentralized control with the help of Information and Communication Technologies (ICT). () In a system consisting of many elements, a decentralized scheme is more suitable for their control than a centralized one. Due to the limited capacity of computation and communication, a centralized scheme faces a degradation of performance as the number of elements increases.…”

Section: Introductionmentioning

confidence: 99%

Packet‐based feedback control of electrical drive and its application to trajectory tracking of manipulator

Mochiyama

Hikihara

2019

Circuit Theory & Apps

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Summary In systems disconnected from the external grid, such as mobile robots and vehicles, the effective use of renewables and energy harvesting techniques helps a longer operation with less weight and space for batteries. Power packet dispatching system is a promising measure to manage the complex power flow created by such distributed power sources of various profiles. In the system, power is transferred as a pulse, and information tag is attached to the pulse power in voltage waveforms. The physical integration of power and information realizes a smooth inclusion of sources and loads of different profiles and their decentralized operation. This paper discusses the application of the system to load control. We propose a decentralized packet‐based feedback control scheme. The successful operation of the proposed scheme is confirmed by an application to an electrical drive. In addition, the application to trajectory control of 2‐degree‐of‐freedom manipulator reveals the possibility of a peak‐power reduction based on a demand response operation of the proposed scheme. The results contribute to a realization of decentralized flow control of power packets based on the convenience of both the sources and the loads.

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“…The total power capacity worldwide for wind turbines has reached 239 GW, enough to cover 3% of the world's electricity demand [1][2][3][4][5][6][7]. The doubly fed induction generator (DFIG) wind turbines dominate the multi-megawatt power market of the wind energy conversion systems due to its cost-effective, variable-speed operation and maximum wind power capture [8].…”

Section: Introductionmentioning

confidence: 99%

Controller saturation nonlinearity in doubly fed induction generator‐based wind turbines under unbalanced grid conditions

Wong

Tse

et al. 2015

Circuit Theory & Apps

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Doubly fed induction generator (DFIG) is widely used in wind energy generation systems due to its costeffective, partially rated back-to-back power converters, variable rotor speed operation, and maximum wind power capture. The conventional design assumes balanced grid voltage and utilizes power protection for the power converters. The DFIG wind turbine is naturally one of the major components in distributed generations of the smart grid system. However, newly developed smart grid system is rich in unbalanced loads. This paper summarizes the limiter settings of controllers and explores the nonlinear behaviors of the DFIG-based wind power generation system with unbalanced loads. The generator rotor speed and an unbalanced load resistance are chosen as variation parameters. An emerging low-frequency linear-modulated oscillation at line second harmonic frequency with DC drifting is identified on the DC link voltage of the back-to-back power converters. In terms of second harmonic and the usually reported hazardous low-frequency oscillation, the saturation nonlinearity and over-modulation of the back-to-back power converter and its power flow are investigated and analyzed. The built-in detailed model of the DFIG wind energy generation system in MATLAB with SimPowerSystems library is used in this study.

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Distributed power flow loss minimization control for future grid

Cited by 6 publications

References 25 publications

Fully distributed AC power flow (ACPF) algorithm for distribution systems

Fully distributed AC power flow (ACPF) algorithm for distribution systems

Packet‐based feedback control of electrical drive and its application to trajectory tracking of manipulator

Controller saturation nonlinearity in doubly fed induction generator‐based wind turbines under unbalanced grid conditions

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