Uncertainty Modeling of Distributed Energy Resources: Techniques and Challenges

Zhang, Ying; Wang, Jianhui; Li, Zhengshuo

doi:10.1007/s40518-019-00129-0

Cited by 58 publications

(29 citation statements)

References 71 publications

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“…Recent studies on GSAs mainly focus on two issues: (1) the impacts and analysis of GSAs (e.g., [5], [8], and [9]), and (2) detection and correction for GSAs in transmission systems (e.g., [10]- [13]). For example, a detection mechanism for multiple spoofing attacks is proposed from a physical perspective in [10].…”

Section: Introductionmentioning

confidence: 99%

Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems

Zhang

Wang

Liu

2020

IEEE Trans. Smart Grid

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Due to the vulnerability of civilian global positioning system (GPS) signals, the accuracy of phasor measurement units (PMUs) can be greatly compromised by GPS spoofing attacks (GSAs), which introduce phase shifts into true phase angle measurements. Focusing on simultaneous GSAs for multiple PMU locations, this paper proposes a novel identification and correction algorithm in distribution systems. A sensitivity analysis of state estimation residuals on a single GSA phase angle is firstly implemented. An identification algorithm using a probing technique is proposed to determine the locations of spoofed PMUs and the ranges of GSA phase shifts. Based on the identification results, these GSA phase shifts are determined via an estimation algorithm that minimizes the mismatch between measurements and system states. Further, with the attacked PMU data corrected, the system states are recovered. Simulations in unbalanced IEEE 34-bus and 123-bus distribution systems demonstrates the efficiency and accuracy of the proposed method.Index Terms-State estimation, phasor measurement units, multiple GPS spoofing attacks, unbalanced distribution systems, attack identification and correction.

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Section: Introductionmentioning

confidence: 99%

Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems

Zhang

Wang

Liu

2020

IEEE Trans. Smart Grid

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“…There are various methods to estimate (model) the uncertainty of the power output of each DER in order to derive the PDF of their combined supply. The authors in [26] provide a comprehensive overview of DER uncertainty modelling methods. Specifically, each DER's supply uncertainty can be modelled using parametric methods, for example, Weibull distributions for wind generation [27], Beta [28] or Saunier [29] distributions for PV generation, or Gaussian mixture models for both PV and wind generators [17].…”

Section: Stochastic Power Balancementioning

confidence: 99%

Formation of ad hoc microgrids for prompt critical load pickup during blackouts by leveraging stochastic distributed energy resources

Chin¹,

Hug

2021

The Journal of Engineering

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Extreme weather events that are increasing in frequency and impact can cause extended disruptions to power grids. To increase the resilience of power grids, focus is shifting from infrastructure hardening to quickening the restoration of distribution systems after a disaster. One method to achieve this is through the use of microgrids leveraging distributed generation in islanded mode. While much work has been done in using microgrids for system restoration, the stochastic nature of distributed energy resources (DERs) have so far been neglected. Here, a data-driven approach to leverage stochastic DERs to form ad hoc microgrids to supply local critical loads prior to wide-scale system restoration is presented. The proposed method is tested on a modified IEEE European LV Test Feeder. Results show that considering the stochastic nature of the resources during microgrid formation greatly affects their supply adequacy confidence levels.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…Recently, due to the high reliability, and the growing penetration of the distributed energy resources systems (DERS) into the power systems [1][2][3], a new concept called microgrid, which attracted a variety of researchers has been introduced [4,5]. A microgrid which can be explained as a low-voltage network with loads and different small-scale production systems can generate the demanded heat and power of the local loads.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm

et al. 2021

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Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions.

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Uncertainty Modeling of Distributed Energy Resources: Techniques and Challenges

Cited by 58 publications

References 71 publications

Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems

Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems

Formation of ad hoc microgrids for prompt critical load pickup during blackouts by leveraging stochastic distributed energy resources

Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm

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