An Automated Impedance Estimation Method in Low-Voltage Distribution Network for Coordinated Voltage Regulation

Han, Sekyung; Kodaira, Daisuke; Han, Soohee; Kwon, Bo-Kyu; Hasegawa, Yasuo; Aki, Hirohisa

doi:10.1109/tsg.2015.2489199

Cited by 50 publications

(27 citation statements)

References 21 publications

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“…However, collecting and updating the impedance and topology manually is not feasible in terms of the cost; thus, it is necessary to estimate both of these parameters automatically without human intervention. The impedance can also be estimated based on the meter readings [26]. Regarding the topology, secondary distribution networks are known to be mainly composed of a radial network [27,28].…”

Section: Model and Premisesmentioning

confidence: 99%

Topology-Based Estimation of Missing Smart Meter Readings

Kodaira

Han

2018

Energies

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Smart meters often fail to measure or transmit the data they record when measuring energy consumption, known as meter readings, owing to faulty measuring equipment or unreliable communication modules. Existing studies do not address successive and non-periodical missing meter readings. This paper proposes a method whereby missing readings observed at a node are estimated by using circuit theory principles that leverage the voltage and current data from adjacent nodes. A case study is used to demonstrate the ability of the proposed method to successfully estimate the missing readings over an entire day during which outages and unpredictable perturbations occurred.

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Section: Model and Premisesmentioning

confidence: 99%

Topology-Based Estimation of Missing Smart Meter Readings

Kodaira

Han

2018

Energies

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“…Only active power was considered, however, and the concept of phasor difference between measurement units was out of consideration. In another impedance estimation method, the authors propose in [17] realized sufficient accuracy for voltage regulation from the asynchronous voltage and current measurement at smart meters. The work in [17] puts forward a practical impedance estimation method for radial secondary voltage feeders.…”

Section: Introductionmentioning

confidence: 99%

“…In another impedance estimation method, the authors propose in [17] realized sufficient accuracy for voltage regulation from the asynchronous voltage and current measurement at smart meters. The work in [17] puts forward a practical impedance estimation method for radial secondary voltage feeders. Internode impedance is estimated based on measured data at the connecting node of each secondary consumer.…”

Section: Introductionmentioning

confidence: 99%

Impedance Estimation with an Enhanced Particle Swarm Optimization for Low-Voltage Distribution Networks

et al. 2019

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Many researchers in recent years have studied voltage deviation issues in distribution networks. Characterizing the impedance between consuming nodes in a network is the key to controlling the network voltage. Existing impedance estimation methods are faced with three challenges: time synchronized measurement, a generalization of the network model, and convergence of the optimization for objective functions. This paper extends an existing impedance estimation algorithm by introducing an enhanced particle swarm optimization (PSO). To overcome this method’s local optimum problem, we propose adaptive inertia weights. Also, our proposed method is based on a new general model for a low voltage distribution network with non-synchronized measurements. In the case study, the improved impedance estimation algorithm realizes better accuracy than the existing method.

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“…This method requires inducing the variation of both active and reactive powers manually and frequently, which is undesirable in a droop control system. An automated impedance estimation method has been introduced in [13] by using an optimization algorithm. Despite its good performance in line impedance estimation, this method suffers from high computational burden, and thus, it cannot be operated in real time.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Virtual Impedance Based Droop Control Scheme for Parallel Inverter Operation in Low Voltage Microgrid

Hai¹,

Kim²

2016

IJPEDS

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This paper presents an adaptive virtual impedance based droop control scheme for parallel inverter operation in low voltage microgrid. Because it is essential to achieve power sharing between inverters in microgrid, various droop control schemes have been proposed. In practice, the line impedance between inverters and the point of common coupling (PCC) in microgrid are not always equal. This imbalance in line impedance often results in a reactive power mismatch among inverters. This problem has been solved by introducing a virtual impedance loop in the conventional droop control scheme. However, the reactive power sharing performance of this method is still deteriorated when the line impedances change during operation. To overcome such a problem, a new control scheme that is based on a virtual impedance loop and an impedance estimation scheme is proposed. To monitor the changes in line impedances, the impedance estimator is implemented by using the output voltages and currents of inverters as well as the voltages at the PCC. To compensate for the reactive power mismatch due to the line impedance changes, the estimated line impedance is fed to the virtual impedance loop in which it adjusts the virtual impedance value. Comparative simulation results with the conventional ones verify the effectiveness of the proposed adaptive virtual impedance based droop control scheme.

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An Automated Impedance Estimation Method in Low-Voltage Distribution Network for Coordinated Voltage Regulation

Cited by 50 publications

References 21 publications

Topology-Based Estimation of Missing Smart Meter Readings

Topology-Based Estimation of Missing Smart Meter Readings

Impedance Estimation with an Enhanced Particle Swarm Optimization for Low-Voltage Distribution Networks

An Adaptive Virtual Impedance Based Droop Control Scheme for Parallel Inverter Operation in Low Voltage Microgrid

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