Journal: IET Generation, Transmission & Distribution

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Abbreviation

IET Gener. Transm. Distrib.

Publisher

Institution of Engineering and Technology

Journal Volumes

ISSN

1751-8695
1751-8687

Description

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Publications1 - 10 of 15
  • Davydova, Nadezhda; Shchetinin, Dmitry; Hug, Gabriela (2020)
    IET Generation, Transmission & Distribution
    The conventional first zone characteristic of distance protection is constructed mainly based on engineering experience, which limits its coverage of internal faults. The zone coverage is also adversely affected by the installation of series compensation devices with over-voltage protection. Despite research efforts to overcome these problems, developing an algorithm for constructing an optimal first zone characteristic that encloses only all separable internal faults remains a challenging task. This study addresses this issue by presenting an optimisation-based algorithm for constructing an adaptive optimal first zone characteristic for power lines. The algorithm takes into account different locations of the compensation devices along the line, their non-linear protection, and the inaccuracies in measurements and considered grid model. The proposed and conventional zone construction algorithms are compared using a grid model in MATLAB Simulink. The results demonstrate that the proposed algorithm is robust to input parameters and thus able to construct an optimal zone characteristic for a specified range of grid operating points and fault parameters. Moreover, the first zone obtained by the proposed algorithm covers substantially more internal faults than the conventional zone with optimised settings. © 2020 Institution of Engineering and Technology.
  • Domahidi, A.; Chaudhuri, B.; Korba, P.; et al. (2009)
    IET Generation, Transmission & Distribution
  • Hug-Glanzmann, G.; Andersson, G. (2009)
    IET Generation, Transmission & Distribution
  • Plagowski, Patrick; Saprykin, Aleksandr; Chokani, Ndaona; et al. (2021)
    IET Generation, Transmission & Distribution
    Several European countries have launched programs to increase the market penetration of battery electric vehicles (BEV). Similarly, politicians in Switzerland have targeted a 15% BEV share of new car registrations by 2022. As each electric car increases the power demand, new challenges are posed to the operation of existing distribution grid infrastructure. Here, a new bottom-up physical approach is presented that couples agent-based traffic simulations through an unsteady vehicle power consumption model with distribution grid power flow simulations. The impacts on hourly powerline loads from charging a car fleet with an 8.5% BEV share are quantified in the real distribution grid for the canton of Zurich. The grid is composed of 12,000 buses and 9,800 powerlines, providing power to 398,000 individual customers. Results indicate that the risk of overloaded powerlines is highest in low-level distribution grids. In our most critical future scenario, with simultaneous 8.5% BEV charging at 8 pm with 11 kW, peak line loads reach up to 132% of rated capacity. Hence, in a potential energy transition towards a decarbonised future, each individual distribution grid could face critical loads at specific temporal and spatial bottlenecks. Thus, grids should be assessed individually to limit uncertainties and risks of critical power system situations.
  • Rodriguez, Osvaldo; Medina, Aurelio; Andersson, Göran (2015)
    IET Generation, Transmission & Distribution
  • Jovicic, Aleksandar; Hug, Gabriela (2020)
    IET Generation, Transmission & Distribution
    The reliability of state estimation is of vital importance for secure operation of a power system. The key features of any state estimator are its accuracy, robustness against bad data and the associated computational burden. In order to ensure full system observability and maximise accuracy, a state estimation algorithm needs to take into account all available measurements. A significant number of hybrid estimators that can process both the conventional measurements that have been used in transmission systems for decades, as well as the synchrophasor measurements, can be found in literature. However, these algorithms are predominantly non-linear, thus requiring iterative solving procedures. In this study, a novel linear algorithm is proposed for state estimation including bad data detection of power systems that are monitored both by conventional and synchrophasor measurements. The proposed estimator is based on the linear weighted least square framework. As a result, the computational burden is rendered extremely low since there is no need for an iterative solving procedure, and standardised post-processing tools for bad data detection can be used. To validate the accuracy and robustness of the proposed algorithm, an extensive number of test cases of different sizes are solved and the results are presented and discussed. © The Institution of Engineering and Technology 2020.
  • Stankovski, Andrej; Gjorgiev, Blazhe; Sansavini, Giovanni (2022)
    IET Generation, Transmission & Distribution
    Most cascading failure analysis methods successfully capture cascading developments within one control zone, or region comprised of multiple control zones, controlled by a single transmission system operator (TSO). They neglect, however, the operations of multi-zonal systems. To bridge this gap, the authors introduce the multi-zonal method for cascading failure analyses of large interconnected power systems. The method accounts for all control zones in a multi-zonal system, assesses their power flows, re-evaluates the system topology after disturbances and applies frequency balancing measures in each control zone independently, thus effectively simulating the actions of multiple TSOs. To demonstrate the capabilities of this method, a case study is investigated which compares the security benefits of the multi-zonal (national) versus the single-zone (regional) frequency balancing methods in a multi-zonal system. The application to the IEEE 118-bus test system shows that the regional approach increases the security of this system in small and medium cascades, whose expected demand not served is reduced by 28% and 26%, respectively, in comparison to the national approach. However, the expected load shedding for large-scale cascading events in the regional approach is 42 times as large as in the national approach. This is mainly caused by overloads occurring in transmission lines adjacent to the cross-zonal tie lines, which are 154% higher with the regional method compared to the national in large cascading events. The capability to identify congestions is presented by devising an upgrading strategy, which makes the regional frequency balancing approach viable from a security aspect.
  • Rahmani, Mohsen; Kargarian, Amin; Hug, Gabriela (2016)
    IET Generation, Transmission & Distribution
  • Chaudhuri, N.R.; Domahidi, A.; Majumder, R.; et al. (2010)
    IET Generation, Transmission & Distribution
  • Avramidis, Iason; Evangelopoulos, Vasileios A.; Georgilakis, Pavlos S.; et al. (2018)
    IET Generation, Transmission & Distribution
Publications1 - 10 of 15