A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics

Kyesswa, Michael; Schmurr, Philipp; Çakmak, Hüseyin; Kühnapfel, Uwe; Hagenmeyer, Veit

doi:10.1109/ds-rt50469.2020.9213602

Cited by 5 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Farah A proposed a modified teaching-based optimization scheme for optimizing controllers based on power system stabilizers and static VAR compensators [3]. Kyesswa Schmurr introduced a new concurrent time-domain simulator for analyzing power system dynamics in massive networks using a high-performance computing environment [4]. For single-machine infinite power systems subject to the uncertainty of the system model, nonlinear time delay, and external unknown disturbances, Yanhong proposed a robust adaptive control method with reverse steps [5].…”

Section: Introductionmentioning

confidence: 99%

New Power System Based on Renewable Energy in the Context of Dual Carbon

Liang¹,

Yuan²,

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

Energy is the basic driving force to promote the economic development of all countries in the world. In the face of the era of great changes unseen in a century, the world is actively deploying and developing renewable energy. However, these forms of new energy power generation are characterized by intermittency and randomness, and their unstable power characteristics and uncontrollable source capacity have negative consequences for the secure and stable operation of the electricity system. Therefore, once new energy sources are incorporated on a large scale, system reliability studies are required. The mission of the new electricity system with new resources as the main source is to adapt to the development of large-scale renewable energy and solve the three major problems of shortage of existing energy and power, pollution, and safety. In comparison to conventional electrical systems, the new power system is not a simple replacement but a revolution. Therefore, this paper studied a new type of power system based on renewable energy. Through experiments, it is concluded that the new electricity system with renewable energy sources is not only more environmentally friendly but also can save 10.5% of electricity costs and greatly improve the utilization rate of available energy.

show abstract

Section: Introductionmentioning

confidence: 99%

New Power System Based on Renewable Energy in the Context of Dual Carbon

Liang¹,

Yuan²,

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

show abstract

“…7 and 8 show the response of the generator rotational speed and bus voltage magnitude, respectively, for the nine-bus system (case 9) partitioned into two subsystems. It is important to note that the results obtained using the partitioned system are similar to those with the original network as described in [27]. However, the variables in this case are positive sequence variables, since the analysis is based on a symmetrical transients' analysis algorithm.…”

Section: Application Case 2: Parallel Dynamic Simulationmentioning

confidence: 69%

“…2). Further details of the algorithm and the communication aspects during the parallel simulation process are described in [27].…”

Section: Methodsmentioning

confidence: 99%

Impact of grid partitioning algorithms on combined distributed AC optimal power flow and parallel dynamic power grid simulation

Kyesswa

Murray

Schmurr

et al. 2020

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

The complexity of most power grid simulation algorithms scales with the network size, which corresponds to the number of buses and branches in the grid. Parallel and distributed computing is one approach that can be used to achieve improved scalability. However, the efficiency of these algorithms requires an optimal grid partitioning strategy. To obtain the requisite power grid partitionings, the authors first apply several graph theory based partitioning algorithms, such as the Karlsruhe fast flow partitioner (KaFFPa), spectral clustering, and METIS. The goal of this study is an examination and evaluation of the impact of grid partitioning on power system problems. To this end, the computational performance of AC optimal power flow (OPF) and dynamic power grid simulation are tested. The partitioned OPF‐problem is solved using the augmented Lagrangian based alternating direction inexact Newton method, whose solution is the basis for the initialisation step in the partitioned dynamic simulation problem. The computational performance of the partitioned systems in the implemented parallel and distributed algorithms is tested using various IEEE standard benchmark test networks. KaFFPa not only outperforms other partitioning algorithms for the AC OPF problem, but also for dynamic power grid simulation with respect to computational speed and scalability.

show abstract

“…The real-time simulations within EGSAL are complemented by offline simulation and analysis tools together with the application of high-performance computing for efficient grid studies. [32,33] Furthermore, the co-simulation of multi-modal energy systems is a major topic of research within EGSAL to extend the analysis to coupled power, gas, and heat grids. [34,35] The coupling of such grids will play a significant role in achieving a smooth energy transition and reliable operation of future grids.…”

Section: Related Workmentioning

confidence: 99%

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids

et al. 2023

View full text Add to dashboard Cite

The power system sector is expected to contribute significantly to addressing the global climate change challenge through solutions such as the integration of distributed energy resources with low carbon emissions and demand side management as part of the flexibility solutions. However, the transformations in the power grids necessitate additional solutions to ensure the stable and reliable operation of the grids. Such novel solutions require detailed studies in laboratories before implementation in real grids. Power systems simulations combined with power‐hardware‐in‐the‐loop (P‐HIL) experiments provide a reliable form of conducting such studies. The current article introduces the Energy Grids Simulations and Analysis Laboratory of the Energy Lab 2.0 as a digital framework enabling local and distributed analysis of power grids. The outstanding feature of the laboratory is its ability to connect the simulation of validated networks directly to the real hardware of the Energy Lab 2.0 in form of P‐HIL setups and virtually to distant energy research infrastructures, thus enabling geographically distributed experimental studies. Results of the benchmark case studies show that the communication methods available in the simulation laboratory can be used to accurately set up locally and geographically distributed simulations, as well as for reliably interfacing physical hardware components to real‐time simulations.

show abstract

A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics

Cited by 5 publications

References 21 publications

New Power System Based on Renewable Energy in the Context of Dual Carbon

New Power System Based on Renewable Energy in the Context of Dual Carbon

Impact of grid partitioning algorithms on combined distributed AC optimal power flow and parallel dynamic power grid simulation

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids

Contact Info

Product

Resources

About