Optimal Reconfiguration of Distribution Network Using $\mu$ PMU Measurements: A Data-Driven Stochastic Robust Optimization

Akrami, Alireza; Doostizadeh, Meysam; Aminifar, Farrokh

doi:10.1109/tsg.2019.2923740

Cited by 48 publications

(31 citation statements)

References 24 publications

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“…Therefore, reconfigurable distribution networks with or without DER integration need to be developed, which should be capable of interfacing with various real-time simulators to facilitate system performance studies. This reconfiguration of electricity networks can bring benefits to both rural and developed networks during normal as well as emergencies 108 .…”

Section: Discussion On Future Trendsmentioning

confidence: 99%

Operational planning steps in smart electric power delivery system

Jayachandran

Reddy

Padmanaban³

et al. 2021

Sci Rep

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This paper presents a comprehensive review of advanced technologies with various control approaches in terms of their respective merits and outcomes for power grids. Distributed energy storage control is classified into automatic voltage regulator and load frequency control according to corresponding functionalities. These control strategies maintain a power balance between generation and demand. Besides, three basic electric vehicle charging technologies can be distinguished, i.e. stationary, quasi-dynamic and dynamic control. For realizing charge-sustaining operation at minimum cost quasi-dynamic and dynamic strategies are adopted for in-route charging, while stationary control can only be utilized when the electric vehicle is in stationary mode. Moreover, power system frequency stability and stabilization techniques in non-synchronous generator systems are reviewed in the paper. Specifically, a synchronverter can damp power system oscillations and ensure stability by providing virtual inertia. Furthermore, it is crucial to manage the massive information and ensure its security in the smart grid. Therefore, several attack detection and mitigation schemes against cyber-attacks are further presented to achieve reliable, resilient, and stable operation of the cyber-physical power system. Thus, bidirectional electrical power flows with two-way digital control and communication capabilities have poised the energy producers and utilities to restructure the conventional power system into a robust smart distribution grid. These new functionalities and applications provide a pathway for clean energy technology. Finally, future research trends on smart grids such as IoT-based communication infrastructure, distributed demand-response with artificial intelligence and machine learning solutions, and synchrophasor-based wide-area monitoring protection and control (WAMPC) are examined in the present study.

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Section: Discussion On Future Trendsmentioning

confidence: 99%

Operational planning steps in smart electric power delivery system

Jayachandran

Reddy

Padmanaban³

et al. 2021

Sci Rep

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“…A two-stage robust optimisation is introduced in [17], to cope with the uncertain parameters in the day-ahead DSR. A data-driven stochastic robust optimisation method based on the measurements of micro-phasor measurement units is proposed in [18] to solve the hourly DSR in a real-time manner. A risk-averse DSR strategy in the presence of DERs is proposed in [19], where the uncertainty of RESs is managed via the information gap decision theory.…”

Section: Motivation and Literature Reviewmentioning

confidence: 99%

“…In [16], a stochastic mixed‐integer second‐order conic programming is presented for reconfiguration of a smart microgrid to maximise the profit of the system operator. A two‐stage robust optimisation is introduced in [17], to cope with the uncertain parameters in the day‐ahead DSR. A data‐driven stochastic robust optimisation method based on the measurements of micro‐phasor measurement units is proposed in [18] to solve the hourly DSR in a real‐time manner.…”

Section: Introductionmentioning

confidence: 99%

Effects of protection settings on optimal performance of reconfigurable smart distribution systems

Khoshbakht

Namdari

Doostizadeh

2021

IET Renewable Power Gen

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Nowadays, with increasing energy consumption in distribution networks and the demand of consumers to buy highly reliable power, it is of high importance to establish adaptation between protection and operation of the power system. Therefore, this paper analyses the effect of optimal reconfiguration of the smart distribution system in the presence of wind and solar renewable resources under fault conditions. Uncertainties of load and production of renewable resources are studied as well. In the proposed model, the optimal topology of the distribution network is obtained to minimise the system losses. Also, features of the distribution network protection systems, including constraints on the coordination and performance of the equipment, are added to the reconfiguration problem. According to linearisation, the proposed model becomes a mixed-integer linear programming. Several case studies are carried out on a modified 33-bus network using GAMS and MATLAB to show the effectiveness and robustness of the proposed model on both operational and protection coordination. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Distribution network reconfiguration: In [49], the problem for a reconfiguration of the distribution network is formulated as mixed-integer nonlinear programming, because of the binary status of switches, and unbalances of the three-phase power flow equations. The reconfiguration problem consists of two phases: (i) Bi-level information granulation, and (ii) robust optimization for dealing with the uncertainty obtained for each information granule.…”

Section: Control Applicationsmentioning

confidence: 99%

A Survey on the Micro-Phasor Measurement Unit in Distribution Networks

Dusabimana

Yoon

2020

Electronics

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The Micro-Phasor Measurement Unit (µPMU) or distribution-level PMU (D-PMU) is a measurement device that measures the synchronized voltage and current values of electric power distribution networks. The synchronized data obtained by µPMUs can be used for monitoring, diagnostic, and control distribution network applications, so that operators can understand the dynamic states of the distribution network in real-time. In this paper, we review the state-of-the-art µPMU research which includes a list of µPMU applications, monitoring and diagnostic functions, control applications, and optimal placement of the µPMU. In addition, we analyze the benefits of µPMUs in distribution networks; in particular, their reliability and resiliency, cost savings, and environmental and policy benefits.

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Optimal Reconfiguration of Distribution Network Using $\mu$ PMU Measurements: A Data-Driven Stochastic Robust Optimization

Cited by 48 publications

References 24 publications

Operational planning steps in smart electric power delivery system

Operational planning steps in smart electric power delivery system

Effects of protection settings on optimal performance of reconfigurable smart distribution systems

A Survey on the Micro-Phasor Measurement Unit in Distribution Networks

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