A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems

Authors

H. A. Tokel, R. Alhalaseh, G. Alirezaei, R. Mathar,

Abstract

The recent efforts to extend measurement and communication infrastructures in power grids have brought about new potentials for a more efficient and optimized grid operation using the data which become available. Due to this integration, on the other hand, not only the network expansion and planning but also the development of new applications must be carried out under consideration of the interdependencies between the power grid and the underlying communication network. In this work, we present a co-simulation environment and tool chain to enable integrated planning and subsequent performance analysis of a wide area measurement system. In the first part of the paper, we investigate the performance of PMU-based state estimation techniques under several power system and communication network scenarios. In the second part of the paper, furthermore, the presented setup is extended for co-simulative investigations of the machine learning-based fault detection and classification techniques in power systems. The presented results not only validate the developed software solution for similar research studies but also scrutinize the impact of communication network performance on power system state estimation and PMU-based decision-making for fault detection and classification.

Keywords

cosimulation; power system; communication network; machine learning; fault detection; wide area measurement and protection; neural network
ISSN=1846-6079

BibT_EX Reference Entry

@article{ToAlAlMa18,
	author = {Halil Alper Tokel and Rana Alhalaseh and Gholamreza Alirezaei and Rudolf Mathar},
	title = "A Co-Simulation Framework for Integrated Planning and Analysis of Wide Area Measurement and Protection Systems",
	pages = "1-11",
	journal = "Journal of Communications Software and Systems",
	volume = "14",
	number = "1",
	doi = 10.24138/jcomss.v14i1.444,
	year = 2018,
	hsb = RWTH-2018-226823,
	}

Downloads

_{Download paper} _{Download bibtex-file}

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights there in are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.