Co‐ordinated voltage regulation using distributed measurement acquisition devices with a real‐time model of the Cigré low‐voltage benchmark grid

Palaniappan, Rajkumar; Hilbrich, Dominik; Bauernschmitt, Björn; Rehtanz, Christian

doi:10.1049/iet-gtd.2018.5300

Cited by 8 publications

(4 citation statements)

References 22 publications

(19 reference statements)

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“…The author's previous work in [13] deals with an experiment to depict the importance of such decentralised measurements. The paper compared the centralised control using field measurements against a simulation with no field measurements.…”

Section: Active Distribution Grid Controlmentioning

confidence: 99%

“…In this way, it can be ensured that the system voltage will not violate the specified limits at any point. More information about the CVC control strategy implementation is explained in the author's previous work [13]. The implemented configuration constitutes the following control actions: If

${V_{{\rm{min}}}} \le 0.93\;{\rm{p}}.

…”

Section: Implemented Control Algorithmsmentioning

confidence: 99%

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Experimental verification of smart grid control functions on international grids using a real‐time simulator

Palaniappan

Molodchyk

Shariati‐Sarcheshmeh³

et al. 2022

IET Generation Trans & Dist

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The drastic increase in distributed energy resources (DERs) leads to challenges in the operation of distribution systems worldwide. While several solutions for grid monitoring and control are available on the market and in literature, this research is the first of its kind aiming to supervise the grid by providing a modular configurable unified hardware and software architecture. The control algorithms are configured using data models according to IEC 61850‐7‐3 and IEC 61850‐7‐4. The novel system architecture is a portable, modular and flexible architecture that aggregates smart grid control functions onto a standardised hardware platform, emphasising the need for hardware independence. The central controller contains several smart grid control functions and the various field devices are distributed across the distribution grid. This paper deals with the simulation of different real‐world distribution grids on the Real‐Time Simulator (RTS) and experimental verification of the control algorithms. Smart grid control functions such as Coordinated Voltage Control (CVC) and Optimal Power Flow (OPF) are experimentally verified on a German grid. The grid dynamics are compared when the central controller executes the CVC against the OPF implementations. The experimental results, advantages and challenges of each control are presented here. The results also showed the variation in grid behaviour when the control parameters were varied. The paper also shows that the algorithm and the choice of the control parameters depend upon the distribution grid's complexity and the system operator's individual needs. The results illustrate the potential of such a universal distribution automation solution for system operators worldwide.

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Section: Active Distribution Grid Controlmentioning

confidence: 99%

${V_{{\rm{min}}}} \le 0.93\;{\rm{p}}.

…”

Section: Implemented Control Algorithmsmentioning

confidence: 99%

Experimental verification of smart grid control functions on international grids using a real‐time simulator

Palaniappan

Molodchyk

Shariati‐Sarcheshmeh³

et al. 2022

IET Generation Trans & Dist

Self Cite

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“…Compared to the Normal State, the OLTC controller in this state lacks knowledge of the grid's overall voltage profile. Tap changing may therefore cause voltage problems in other parts of the grid, especially at the nodes furthest away from the transformer as described in Palaniappan et al (2019). This represents the Limited State of OLTC control remedial action.…”

Section: Case Study 2: Analysis Of a Remedial Action -Oltc Controlmentioning

confidence: 99%

State description of cyber-physical energy systems

et al. 2020

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The integration of ICT into power systems has increased the interdependencies between the two systems. The operation of power system depends on several ICT-enabled grid services which manifest the interdependencies. ENTSO-E system state classification is a tool that is widely used by operators to determine the current operational state of the power system. However, it does not adequately describe the impact of ICT disturbances on the operation of the power system. Despite their interconnections, the operational states of both systems have been described separately so far. This paper bridges the well-established ENTSO-E systems state classification with an ICT system state classification, forming a new model considering the state classification of the ICT-enabled grid services. The model is developed by first identifying the ICT-enabled services, remedial actions and the respective performance requirements that are required by the power system. Then the states of these services are specified based on the supporting ICT system. The resulting joint state description shows how performance degradation of ICT-enabled services (introduced by disturbances) can affect the operation of the interconnected power system. Two case studies of such ICT-enabled services, namely state estimation and on-load tap changer control, are investigated in terms of how their operational states affect the states of the power system. A third case study highlights the interdependencies that exist between the services. These case studies demonstrate the interdependencies that exist between power and ICT systems in modern cyber-physical energy systems, thus highlighting the usage of a unified system state description.

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“…The amount of information available on the Internet nowadays is expanding tremendously. Users find it challenging to swiftly and precisely choose the relevant material while still gaining the convenience of information due to the vast volume of Internet resources [1]. Recommendation algorithms have drawn a lot of interest and research as a viable approach to combating the issue of "information overload," and they are now extensively employed in a variety of sectors, resulting in many relevant achievements.…”

Section: Introductionmentioning

confidence: 99%

Research on intelligent recommendation algorithm of literature based on knowledge graph technology

Yin

2023

Applied Mathematics and Nonlinear Sciences

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To address the issue of cold start and data sparsity in recommendation algorithms, this paper introduces a knowledge graph to assist intelligent recommendation algorithms in exploring. Firstly, it is introduced that the introduction of knowledge graphs into recommendation algorithms can introduce more semantic relationships as well as mining higher-order connection relationships, thus improving the purpose and user satisfaction. Second, the three categories of extant recommendation techniques—embedding-based, path-based, and propagation-based—are compiled. We examine how the current methods extract data from entities and connections in the knowledge graph and contrast the benefits and drawbacks of the three different types of approaches. Furthermore, the AUC metrics on the three datasets improve by 2.9%, 1.6%, and 1.2% over the state-of-the-art baseline, respectively, showing the effectiveness of the KGAT-CI model in using collaborative and knowledge-aware information, according to experiments on intelligent algorithms in the literature. It may be determined that the addition of knowledge graphs can improve the present recommendation algorithms’ accuracy, variety, and interpretability.

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Co‐ordinated voltage regulation using distributed measurement acquisition devices with a real‐time model of the Cigré low‐voltage benchmark grid

Cited by 8 publications

References 22 publications

Experimental verification of smart grid control functions on international grids using a real‐time simulator

Experimental verification of smart grid control functions on international grids using a real‐time simulator

State description of cyber-physical energy systems

Research on intelligent recommendation algorithm of literature based on knowledge graph technology

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