Increasing Penetration of DERs in Smart Grid Framework: A State-of-the-Art Review on Challenges, Mitigation Techniques and Role of Smart Inverters

Wankhede, Sumeet K.; Paliwal, Priyanka; Kirar, Mukesh Kumar

doi:10.1142/s0218126620300147

Cited by 29 publications

(12 citation statements)

References 87 publications

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“…The rapid technological integration of smart photovoltaic inverters with Distributed Energy Resources (DERs) coupled with environmental sustainability objectives has led to the proliferation of inverter-based Distributed Energy Resources (IBDERs) in electric power grids Yazdaninejadi, Hamidi, Golshannavaz, Aminifar and Teimourzadeh (2019). However, the successful deployment of photovoltaic inverters is still prone to security and privacy breaches which may have devastating implications on distribution power systems Wankhede, Paliwal and Kirar (2020). In this view, we present the related recent state-of-the-art literature on threats against smart solar inverters within two application scenarios namely:…”

Section: Photovoltaic Invertersmentioning

confidence: 99%

False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey

Husnoo¹,

Anwar²,

Hosseinzadeh³

et al. 2021

Preprint

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With the proliferation of smart devices and revolutions in communications, electrical distribution systems are gradually shifting from passive, manually-operated and inflexible ones, to a massively interconnected cyber-physical smart grid to address the energy challenges of the future. However, the integration of several cutting-edge technologies has introduced several security and privacy vulnerabilities due to the large-scale complexity and resource limitations of deployments. Recent research trends have shown that False Data Injection (FDI) attacks are becoming one of the most malicious cyber threats within the entire smart grid paradigm. Therefore, this paper presents a comprehensive survey of the recent advances in FDI attacks within active distribution systems and proposes a taxonomy to classify the FDI threats with respect to smart grid targets. The related studies are contrasted and summarized in terms of the attack methodologies and implications on the electrical power distribution networks. Finally, we identify some research gaps and recommend a number of future research directions to guide and motivate prospective researchers.⋆ This document is the results of the research project funded by the Centre for

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Section: Photovoltaic Invertersmentioning

confidence: 99%

False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey

Husnoo¹,

Anwar²,

Hosseinzadeh³

et al. 2021

Preprint

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“…With the advancement of new technologies, the implementation challenges go hand in hand. The inclusion of DERs pose severe threats to reliability and operation of SGDS [1]. Hence, planning of DERs integration in SGDS is of major concern for system planners.…”

Section: Introductionmentioning

confidence: 99%

“…The planning problem gets even more complex with the higher penetration of RES-based DERs and battery storage (BS) incorporation. The issues which complicate the planning problem are enumerated as follows [1]: i.…”

Section: Introductionmentioning

confidence: 99%

Bi-Level Multi-Objective Planning Model of Solar PV-Battery Storage-Based DERs in Smart Grid Distribution System

2022

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This paper presents a novel bi-level multi-objective model for planning solar PV-battery storage (PV-BS) based DERs in Smart grid distribution system (SGDS). The planning of Solar PV and battery storage (BS) in the distribution system presents severe complexities for the system planner due to their inherent attributes. The detailed analysis considering all three planning aspects, namely technical, economics, and environmental is presented, assisting in the efficient and reliable planning operation. The four test cases are formed based upon the life cycle cost, unserved energy, penetration level, and social welfare. The level-1 proceeds with evaluating the DERs sizing along with penetration level and serves as an input to level-2, for computing the optimal placement for DERs. The proposed model is implemented on the IEEE-33 bus distribution system and solved using Butterfly-PSO (BF-PSO) algorithm. The detailed parametric and sensitivity analysis presented may aid the system planners in terms of planning preview. The simulation results validate the effectiveness of the proposed work by showing significant improvement in bus voltage profiles (upto 4%) and reduction in total power losses (upto 45%). The highest penetration level is observed for Case 2 (70%), which also corresponds to the highest LCC (k$ 147094) and thus results in the lowest emission cost (k$ 4920).

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“…Distributed energy resources (DER) are defined as small-scale generation units (DGs) and energy storage technologies connected at distribution network [1,2]. Integration of DERs offer an array of benefits and provide a promising alternative to centralised generation [3].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of distributed energy resource penetration and placement using probabilistic framework

Paliwal

2021

IET Renewable Power Gen

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Integration of distributed energy resources (DERs) affect system performance in multitude of ways such as reliability, losses and voltage profile. Thus, increasing distributed energy resource penetration necessitates impact assessment particularly when DERs comprise of stochastic RES based distributed generators (DGs) and storage system. This paper presents a formulation for the analysis of DER penetration and placement on system losses and voltage profile in probabilistic framework. Penetration level has been defined, giving due consideration to stochastic behaviour of RES based distributed generators. The work presented incorporates analysis and consideration of two important factors in placement problem, that is, intermittent nature of RES based distributed generators and dual nature of storage units. In order to account for uncertainties inherently present in RES, probabilistic load flow has been used in this work. Placement problem is solved for three different penetration levels, that is, 20%, 40% and 60% using utterfly particle swarm optimisation. The impact of seasonal effect on system losses and voltage profile in correlation with penetration levels has also been investigated. Results provide useful insights for identification of optimum penetration level.

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Increasing Penetration of DERs in Smart Grid Framework: A State-of-the-Art Review on Challenges, Mitigation Techniques and Role of Smart Inverters

Cited by 29 publications

References 87 publications

False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey

False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey

Bi-Level Multi-Objective Planning Model of Solar PV-Battery Storage-Based DERs in Smart Grid Distribution System

Comprehensive analysis of distributed energy resource penetration and placement using probabilistic framework

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