The Experts below are selected from a list of 6147 Experts worldwide ranked by ideXlab platform
Xuemin Shen - One of the best experts on this subject based on the ideXlab platform.
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Mitigation of Distribution Level Load Fluctuation by Exploiting Elasticity of Local Area Packetized Power Networks
2018 IEEE International Conference on Communications (ICC), 2018Co-Authors: Ning Zhang, Xuemin ShenAbstract:Featured by distributed energy storing and time division multiplexing transmission, packetized power Distribution has great potential in compensating inelastic load fluctuations at the demand side. This paper investigates an AC Distribution grid integrated with DC packetized-power Distribution networks. The DC sector enables a store-then-consume mechanism, whereby the sectoral loads, characterized as elastic ones, can be manipulated to reduce the Distribution Level load fluctuation, characterized by peak-to-average ratio (PAR). We develop a day-ahead hierarchical scheduling to shape the Distribution Level load profile and the DC sector load profile by utilizing the DC sector load elasticity, based on which it further schedules the DC intra-sector energy Distribution. The scheduling problems are formulated as PAR minimizations and effectively solved. Simulations demonstrate the effectiveness of the scheme in reducing Distribution Level load fluctuation and reveal fact on how much DC elastic loads is needed for fluctuation reduction.
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ICC - Mitigation of Distribution Level Load Fluctuation by Exploiting Elasticity of Local Area Packetized Power Networks
2018 IEEE International Conference on Communications (ICC), 2018Co-Authors: Jinghuan Ma, Ning Zhang, Xuemin ShenAbstract:Featured by distributed energy storing and time division multiplexing transmission, packetized power Distribution has great potential in compensating inelastic load fluctuations at the demand side. This paper investigates an AC Distribution grid integrated with DC packetized-power Distribution networks. The DC sector enables a store-then-consume mechanism, whereby the sectoral loads, characterized as elastic ones, can be manipulated to reduce the Distribution Level load fluctuation, characterized by peak-to-average ratio (PAR). We develop a day-ahead hierarchical scheduling to shape the Distribution Level load profile and the DC sector load profile by utilizing the DC sector load elasticity, based on which it further schedules the DC intra-sector energy Distribution. The scheduling problems are formulated as PAR minimizations and effectively solved. Simulations demonstrate the effectiveness of the scheme in reducing Distribution Level load fluctuation and reveal fact on how much DC elastic loads is needed for fluctuation reduction.
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Elastic Energy Distribution of Local Area Packetized Power Networks to Mitigate Distribution Level Load Fluctuation
IEEE Access, 2018Co-Authors: Ning Zhang, Xuemin ShenAbstract:Featured by distributed energy storing and time division multiplexing transmission, dc packetized-power Distribution has great potential in compensating inelastic load fluctuations at the demand side. In this paper, we investigate an ac Distribution grid integrated with local area packetized-power networks (LAPPNs). LAPPNs, as the dc sector, enable a store-then-consume mechanism, whereby the sectoral loads characterized as elastic ones, can be manipulated to reduce the Distribution Level load fluctuation. A multi-mode energy Distribution is proposed for the dc sector, including an advanced energy Distribution as the `storing' phase utilizing conventionally non-peak hours, and an open energy Distribution as the `consumption' phase to further compensate the ac sector load fluctuation on real-time basis. We develop a cross-time hierarchical energy Distribution scheme to coordinate energy Distribution of dc sector and ac sector and exploit the elasticity of dc sector loads on both day-ahead basis and real-time basis, jointly resulting in a significant mitigation of Distribution load fluctuation. Power Distribution optimizations are separately formulated and solved for different procedures of the scheme. Simulations have been conducted to demonstrate the effectiveness of the scheme in reducing Distribution Level load fluctuation and to reveal facts on how much dc elastic loads is needed for fluctuation reduction in a scenario in North America.
Ning Zhang - One of the best experts on this subject based on the ideXlab platform.
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Mitigation of Distribution Level Load Fluctuation by Exploiting Elasticity of Local Area Packetized Power Networks
2018 IEEE International Conference on Communications (ICC), 2018Co-Authors: Ning Zhang, Xuemin ShenAbstract:Featured by distributed energy storing and time division multiplexing transmission, packetized power Distribution has great potential in compensating inelastic load fluctuations at the demand side. This paper investigates an AC Distribution grid integrated with DC packetized-power Distribution networks. The DC sector enables a store-then-consume mechanism, whereby the sectoral loads, characterized as elastic ones, can be manipulated to reduce the Distribution Level load fluctuation, characterized by peak-to-average ratio (PAR). We develop a day-ahead hierarchical scheduling to shape the Distribution Level load profile and the DC sector load profile by utilizing the DC sector load elasticity, based on which it further schedules the DC intra-sector energy Distribution. The scheduling problems are formulated as PAR minimizations and effectively solved. Simulations demonstrate the effectiveness of the scheme in reducing Distribution Level load fluctuation and reveal fact on how much DC elastic loads is needed for fluctuation reduction.
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ICC - Mitigation of Distribution Level Load Fluctuation by Exploiting Elasticity of Local Area Packetized Power Networks
2018 IEEE International Conference on Communications (ICC), 2018Co-Authors: Jinghuan Ma, Ning Zhang, Xuemin ShenAbstract:Featured by distributed energy storing and time division multiplexing transmission, packetized power Distribution has great potential in compensating inelastic load fluctuations at the demand side. This paper investigates an AC Distribution grid integrated with DC packetized-power Distribution networks. The DC sector enables a store-then-consume mechanism, whereby the sectoral loads, characterized as elastic ones, can be manipulated to reduce the Distribution Level load fluctuation, characterized by peak-to-average ratio (PAR). We develop a day-ahead hierarchical scheduling to shape the Distribution Level load profile and the DC sector load profile by utilizing the DC sector load elasticity, based on which it further schedules the DC intra-sector energy Distribution. The scheduling problems are formulated as PAR minimizations and effectively solved. Simulations demonstrate the effectiveness of the scheme in reducing Distribution Level load fluctuation and reveal fact on how much DC elastic loads is needed for fluctuation reduction.
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Elastic Energy Distribution of Local Area Packetized Power Networks to Mitigate Distribution Level Load Fluctuation
IEEE Access, 2018Co-Authors: Ning Zhang, Xuemin ShenAbstract:Featured by distributed energy storing and time division multiplexing transmission, dc packetized-power Distribution has great potential in compensating inelastic load fluctuations at the demand side. In this paper, we investigate an ac Distribution grid integrated with local area packetized-power networks (LAPPNs). LAPPNs, as the dc sector, enable a store-then-consume mechanism, whereby the sectoral loads characterized as elastic ones, can be manipulated to reduce the Distribution Level load fluctuation. A multi-mode energy Distribution is proposed for the dc sector, including an advanced energy Distribution as the `storing' phase utilizing conventionally non-peak hours, and an open energy Distribution as the `consumption' phase to further compensate the ac sector load fluctuation on real-time basis. We develop a cross-time hierarchical energy Distribution scheme to coordinate energy Distribution of dc sector and ac sector and exploit the elasticity of dc sector loads on both day-ahead basis and real-time basis, jointly resulting in a significant mitigation of Distribution load fluctuation. Power Distribution optimizations are separately formulated and solved for different procedures of the scheme. Simulations have been conducted to demonstrate the effectiveness of the scheme in reducing Distribution Level load fluctuation and to reveal facts on how much dc elastic loads is needed for fluctuation reduction in a scenario in North America.
Antonio Zecchino - One of the best experts on this subject based on the ideXlab platform.
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A Market Framework for Enabling Electric Vehicles Flexibility Procurement at the Distribution Level Considering Grid Constraints
2018 Power Systems Computation Conference (PSCC), 2018Co-Authors: Ana Gadea, Mattia Marinelli, Antonio ZecchinoAbstract:In a context of extensive electrification of the transport sector, the use of flexibility services from electric vehicles (EVs) is becoming of paramount importance. This paper defines a market framework for enabling EVs flexibility at the Distribution Level, considering grid constraints. The main objective is to establish an adequate incentive system and proceed with an evaluation of EVs grid support for both users and DSOs, benchmarking it against the typical reinforcement solution. To exploit this framework, a billing process based on a two-price system is proposed for the controlled EV charging. The derived methodology is applied to a piece of semi-urban Danish Distribution grid consisting of 42 customers. The service remuneration spans from 16 €/year to 51 €/year per customer, depending on the incentive scheme, and avoids a standard reinforcement of approximately 6200 €/year. It is demonstrated the benefit for DSOs and society, proving a technical and economic feasible solution.
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A Market Framework for Enabling Electric Vehicles Flexibility Procurement at the Distribution Level Considering Grid Constraints
2018 Power Systems Computation Conference (PSCC), 2018Co-Authors: Ana Gadea, Mattia Marinelli, Antonio ZecchinoAbstract:In a context of extensive electrification of the transport sector, the use of flexibility services from electric vehicles (EVs) is becoming of paramount importance. This paper defines a market framework for enabling EVs flexibility at the Distribution Level, considering grid constraints. The main objective is to establish an adequate incentive system and proceed with an evaluation of EVs grid support for both users and DSOs, benchmarking it against the typical reinforcement solution. To exploit this framework, a billing process based on a two-price system is proposed for the controlled EV charging. The derived methodology is applied to a piece of semi-urban Danish Distribution grid consisting of 42 customers. The service remuneration spans from 16 \text{C}\!\!\!\!\!\!\! {=}/year to 51 \text{C}\!\!\!\!\!\!\! {=} (year per customer, depending on the incentive scheme, and avoids a standard reinforcement of approximately 6200 \text{C}\!\!\!\!\!\!\! {=}/year. It is demonstrated the benefit for DSOs and society, proving a technical and economic feasible solution.
Ranjana Sodhi - One of the best experts on this subject based on the ideXlab platform.
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Placement of Distribution-Level Phasor Measurements for Topological Observability and Monitoring of Active Distribution Networks
IEEE Transactions on Instrumentation and Measurement, 2020Co-Authors: Kapil Chauhan, Ranjana SodhiAbstract:This article presents a new method for the placement of Distribution-Level phasor measurement units (D-PMUs) in the active Distribution networks (ADNs). The new objective function and constraints are proposed to ensure the minimization of capital cost as well the maximization of system observability, in the presence of distributed generations (DGs), zero injection buses (ZIBs), and tie-switches. The integer linear programming (ILP) is used to solve the framed objective function and the constraints. Furthermore, the accuracy of ADN state estimation (ADN-SE), in various system conditions, such as network reconfiguration, change in load demand, and measurement error degradation, is analyzed to check the impact of the proposed placement. The uncertainties caused by D-PMUs, DGs, and pseudomeasurements are considered well in ADN-SE using Monte Carlo simulations. The IEEE 69, 123, Indian 85, and UKGDS 95 bus Distribution systems are used in the case studies.
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Placement of Distribution-Level Phasor Measurements for Topological Observability and Monitoring of Active Distribution Networks
IEEE Transactions on Instrumentation and Measurement, 2019Co-Authors: Kapil Chauhan, Ranjana SodhiAbstract:This paper presents a new method for the placement of Distribution-Level phasor measurement units (D-PMUs) in the active Distribution networks (ADNs). The new objective function and constraints are proposed to ensure the minimization of capital cost as well maximization of system observability, in the presence of distributed generations (DGs), zero injection buses (ZIBs), tie-switches. The integer linear programming is used to solve the framed objective function and constraints. Furthermore, the accuracy of ADN state estimation (ADN-SE), in various system conditions, such as network reconfiguration, change in load demand, measurement error degradation is analyzed to check the impact of the proposed placement. The uncertainties caused by D-PMUs, DGs, pseudo measurements are well considered in ADN-SE using Monte Carlo simulations. The IEEE 69, 123, Indian 85 and UKGDS 95 bus Distribution systems are used in the case studies.
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Distribution-Level Synchrophasors Estimation
2018 20th National Power Systems Conference (NPSC), 2018Co-Authors: Kapil Chauhan, Ranjana SodhiAbstract:Various time domain, frequency domain and time-frequency domain methods have been used in literature for the accurate phasor estimation in transmission-Level PMUs. This paper assesses the suitability of three such methods, viz., Taylor Weighted Least Square (TWLS), Interpolated Discrete Fourier Transform (IpDFT) and Empirical Wavelet Transform (EWT), for developing the Distribution-Level PMU under steady state and dynamic conditions, as per the IEEE C37.118.1a-2014. The analysis is considered for fast phasor estimation by considering one cycle observation window. The Total Vector Error (TVE) and response time are chosen as performance metric. It is shown that time-domain and frequency-domain methods, although have less estimation error in case of fundamental phasor estimation and comply with PMU Std. IEEE C37.118.1a-2014, except low order harmonics and out of band interference case. However, in order to estimate the harmonics along with the fundamental phasors, time-frequency based method should be the preferred choice for implementing the D-PMUs. The additional advantage of EWT is to localize the dynamics of the signal in time-frequency plane.
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A Novel Distribution-Level Phasor Estimation Algorithm Using Empirical Wavelet Transform
IEEE Transactions on Industrial Electronics, 2018Co-Authors: Kapil Chauhan, Motakatla Venkateswara Reddy, Ranjana SodhiAbstract:Distribution-Level signals are often contaminated with harmonics and noise, along with dynamic conditions like frequency deviations. This paper proposes an empirical wavelet transform (EWT) based M-class Distribution-Level phasor estimation technique under such polluted and dynamic conditions. The capability of the EWT of extracting different frequency components present in the signal makes it suitable for Distribution-Level phasor estimation. However, the empirical wavelet filters are designed on the basis of the Fourier spectrum of the signal, which, inturn suffers from a spectral leakage problem at off-nominal frequencies. To avoid the errors arising due to spectral leakage, a sample value adjustment based prefiltering technique is employed. The effectiveness of the proposed estimator is demonstrated on various simulated signals, field-data, and real-time signals obtained from the hardware implementation setup. The proposed algorithm is found to be least affected by the presence of dc components, harmonics, and noise. The use of a fixed window size and fixed sampling frequency makes it suitable for synchronization with GPS clocks. The proposed scheme is also able to provide an accurate harmonic phasor estimation.
Jiecheng Zhao - One of the best experts on this subject based on the ideXlab platform.
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Data Quality Analysis and Solutions for Distribution-Level PMUs
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019Co-Authors: Jiecheng ZhaoAbstract:Synchrophasors provide promising enhancement to the Distribution system monitoring. However, different from transmission systems, Distribution systems are usually with higher noise, phase unbalance, and distributed energy resources. All of these could impair the data quality of Distribution-Level phasor measurement units (D-PMUs) and thus deteriorate the performance of D-PMU based applications. Therefore, the data quality of D-PMU should be evaluated to ensure the effectiveness of D-PMU based applications. In this paper, factors in Distribution systems that could jeopardize D-PMU data quality are evaluated. The impact of data quality on D-PMU applications is analyzed. Finally, solutions are proposed to improve D-PMU data quality to satisfy these requirements. This work provides effective methods to improve the performance of Distribution-Level grid monitoring using synchrophasor measurements.
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Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales
IEEE Access, 2017Co-Authors: Jiecheng Zhao, Micah J. TillAbstract:The Distribution-Level electric network frequency (ENF) extracted from an electric power signal is a promising forensic tool for multimedia recording authentication. Local characteristics in ENF signals recorded in different locations act as environmental signatures, which can be potentially used as a fingerprint for location identification. In this paper, a reference database is established for Distribution-Level ENF using FNET/GridEye system. An ENF identification method that combines a wavelet-based signature extraction and feedforward artificial neural network-based machine learning is presented to identify the location of unsourced ENF signals without relying on the availability of concurrent signals. Experiments are performed to validate the effectiveness of the proposed method using ambient frequency measurements at multiple geographic scales. Identification accuracy is presented, and the factors that affect identification performance are discussed.
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Disturbance location determination based on electromechanical wave propagation in FNET/GridEye: a Distribution-Level wide-area measurement system
IET Generation Transmission & Distribution, 2017Co-Authors: Micah J. Till, Dao Zhou, Jiecheng Zhao, Yu Su, Ling Wu, Xuemeng ZhangAbstract:This study presents a method to locate power system disturbances using wide-area synchropahsor measurements. The merits of the proposed method include robustness and ease of visualisation. In addition, the proposed method facilitates the calculation of electromechanical wave propagation speed Distribution. Examples of locating the disturbance and generating the propagation speed Distribution are demonstrated using the FNET/GridEye system, a Distribution-Level wide-area measurement system. Without losing generality, the proposed method can be implemented in any other wide-area measurement system.