Vahid Jalili-Marandi

SIMD-Based Large-Scale Transient Stability Simulation on the Graphics Processing Unit

This paper presents a single-instruction-multiple-data (SIMD) based implementation of the transient stability simulation on the Graphics Processing Unit (GPU). Two programming models to implement the standard method of the transient stability simulation are proposed and implemented on a single GPU. In the first model the CPU is responsible for part of the simulation, while the onerous computations were offloaded to the GPU, creating a hybrid GPU-CPU simulator. In the second model, the GPU performs all the computations, while the CPU simply monitors the flow of the simulation. The accuracy of the proposed methods are validated using the PSS/E software for several large test systems. A substantial increase in speed was observed for the GPU-based simulations.

Large-Scale Transient Stability Simulation of Electrical Power Systems on Parallel GPUs

This paper proposes large-scale transient stability simulation based on the massively parallel architecture of multiple graphics processing units (GPUs). A robust and efficient instantaneous relaxation (IR)-based parallel processing technique which features implicit integration, full Newton iteration, and sparse LU-based linear solver is used to run the multiple GPUs simultaneously. This implementation highlights the combination of coarse-grained algorithm-level parallelism with fine-grained data-parallelism of the GPUs to accelerate large-scale transient stability simulation. Multithreaded parallel programming makes the entire implementation highly transparent, scalable, and efficient. Several large test systems are used for the simulation with a maximum size of 9,984 buses and 2,560 synchronous generators all modeled in detail resulting in matrices that are larger than 20, 000 × 20, 000.

Real-Time Simulation of Grid-Connected Wind Farms Using Physical Aggregation

The electromagnetic transient (EMT) simulation of a power system interconnected with wind farms involves such intensive computations that fully digital real-time simulators are among the effective tools for performing such simulations. To practically exploit real-time simulators for the simulation of wind farms with numerous wind turbines, the application of aggregation techniques is inevitable. In this paper, a detailed EMT model of a grid-connected wind farm with ten doubly-fed-induction-generator-based General Electric 1.5-MW wind turbines has been implemented on an advanced PC-Cluster-based real-time simulator. Three levels of physical aggregation methods are presented to reduce the computational efforts of the real-time simulation while maintaining adequate accuracy. A combination of these aggregation methods with parallel processing allowed the real-time simulation to be carried out with a fixed time step of 50 μs and high accuracy. Various fault transient results are provided for all the aggregation levels and compared against results from the detailed wind farm model. The validity of the proposed methods and real-time simulation results has also been confirmed by comparing with offline simulation results in MATLAB/SIMULINK.

Instantaneous Relaxation-Based Real-Time Transient Stability Simulation

Real-time transient stability simulation is of paramount importance for system security assessment and to initiate preventive control actions before catastrophic events such as blackouts happen. Transient stability simulation of realistic power systems involves the solution of a large set of nonlinear differential-algebraic equations in the time-domain which requires significant computational resources. Exploitation of parallel processing techniques can provide an efficient and cost-effective solution to this problem. This paper proposes a fully parallel method known as instantaneous relaxation (IR) for real-time transient stability simulation. To validate the proposed method, two test systems have been implemented on an advanced PC-cluster-based real-time simulator. A comparison of the captured real-time results with those from the PSS/E software shows high accuracy.

Large-scale transient stability simulation on graphics processing units

Graphics processing units (GPUs) have recently attracted a lot of interest in several fields struggling with massively large computation tasks. The application of a GPU for fast and accurate transient stability simulation of the large-scale power systems is presented in this paper. The computationally intensive parts of the simulation were offloaded to the GPU to co-operate with the CPU. As such, a hybrid GPU-CPU simulator is configured. The accuracy of the proposed simulation approach has been validated by using the PSS/E software. The computation time of the simulation performed by co-processing of GPU-CPU has been compared with that of the CPU-only simulation. Several test cases have been used to demonstrate the significant acceleration of the GPU-CPU simulation. A speed-up of 345 is reported for a 320 generator and 1248 bus power system.

Power system simulation algorithms for parallel computer architectures

This paper discusses high-performance computing from the hardware, software, and algorithmic perspectives. The paper emphasizes on recent advancements in parallel algorithms for both Electro-Magnetic Transients and Transient Stability simulations suitable for highly-parallel multi-core multi-CPU architectures.

A real-time dynamic simulation tool for transmission and distribution power systems

ePHASORsim tool offers real-time dynamic simulations for transmission and distribution power systems. Applications such as contingency studies, testing control devices, operator training, and SCADA system tests are examples for employing this tool. This paper describes the hardware and software architecture of the ePHASORsim and its development. The accuracy of the tool has been evaluated in comparison to other commercial, but non-real-time, simulation packages for both transmission and distribution systems. Its real-time performance has been tested with a time-step of 10ms on a real-time simulator for large-scale power systems in the order of 20000 buses, 5000 generators, and over 9000 control devices.

A real-time transient stability simulation tool for large-scale power systems

Development of the Phasor tool for real-time transient stability simulation in large-scale power systems is presented in this paper. This tool can be used for performing contingency studies, testing control devices, as well as training purposes in academia and industry. The Phasor tool includes a model library that is extensible based on the user requirements. The accuracy of the tool has been evaluated in comparison to other commercial but non-real-time transient stability simulation packages, and its real-time performance has been tested on an eMEGAsim real-time simulator for large-scale power systems in the order of 10000 buses, 2500 generators, and over 4500 control devices.

Large-scale transient stability simulation of electrical power systems on parallel GPUs

This paper proposes large-scale transient stability simulation based on the massively parallel architecture of multiple graphics processing units (GPUs). A robust and efficient instantaneous relaxation based parallel processing technique which features implicit integration, full Newton iteration, and sparse LU based linear solver is used to run the multiple GPUs simultaneously. This implementation highlights the combination of coarse-grained algorithm-level parallelism with fine-grained data-parallelism of the GPUs to accelerate large-scale transient stability simulation. Multi-threaded parallel programming makes the entire implementation highly transparent, scalable and efficient. Several large test systems are used for the simulation with a maximum size of 9984 buses and 2560 synchronous generators all modeled in detail resulting in matrices that are larger than 20000×20000.

Model-in-the-Loop real-time simulation in phasor domain

The ePHASORsim tool offers real-time phasor domain simulations for large-scale power systems. Applications include contingency studies, testing control devices, operator training, and SCADA system tests. This paper describes a new application of this tool for Model-In-the-Loop simulations. Two test experiments are shown in this paper to demonstrate the accuracy and advantages of utilizing ePHASORsim for this purpose. The Matlab SimPowerSystems® toolbox is used to validate the results.