Design of multiprocessor structures for simulation of power-system dynamics. Final report

Brasch, F.; Ness, J. E. Van; Kang, Seung-Hyun

doi:10.2172/6851954

Cited by 29 publications

(1 citation statement)

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“…A particularly challenging problem is the online assessment of transient stability that requires real-time simulation of contingencies in order to take appropriate corrective actions in case of a contingency. This need for online assessment of stability has motivated the development of numerous algorithms and computer architectures to benefit power system TSA [59][60][61]. Furthermore, TSA has also benefited from improvements in, power electronic devices to aid power system stability like flexible AC transmission systems [62], machine learning techniques [63,64], wide-area measurement systems [65], etc.…”

Section: Overview Of Transient Stability Analysismentioning

confidence: 99%

Power System Analysis Incorporating Weather: Power Flow Analysis & Transient Stability Analysis

Ahmed¹

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Climate change, evolution of power systems into complex modern systems, and advancements in disruptive technologies (distributed generation and renewable energy systems) have brought about drastic changes and challenges in the power industry, which necessitate improvements in power system analysis (PSA) in order to more critically understand power systems. The overall goal of this thesis is to improve the current state of PSA by focusing on power flow analysis (PFA) and transient stability analysis (TSA). Currently, power system studies are neglectful of the weather conditions. As a consequence, these have associated weather-dependent errors. The research presented in this thesis, therefore, addresses the important aspect of fully incorporating weather into power system studies with a focus on PFA and TSA, with the aim of improving the current state of PSA. The incorporation of weather into power system studies is performed in this thesis by the use of a nonlinear heat balance model of overhead conductors, which relates the weather condition and loading to the conductor temperature. Since the conductor temperature is related to its resistance, a change in temperature causes the network impedance of a power network to change and hence cause the power system states to change. This ultimately affects PFA and any subsequent analysis including TSA. Initially, an overview of the existing nonlinear heat balance models utilised in the industry is presented. Then, based on the selection of a suitable heat balance model well suited for this thesis, an investigation of the important and likely impact of individual weather parameters on conductor temperature is carried out for a New Zealand (NZ) case study. For this, a sensitivity framework is derived that is utilised to analyse the sensitivity of conductor temperature to pairs of weather conditions in NZ. As a result, the weather parameters that strongly affect the conductor temperature in NZ are identified. The derived sensitivity framework serves as a tool for studying the various impacts of weather parameters on different conductors around the world that could be used to improve power system planning, operation, and analysis of utilities. This thesis improves PFA, which is the foundation of most power system studies, by proposing and deriving two novel power flow algorithms i.e. the weather-dependent power flow (WDPF) and the time and weather-dependent power flow (TWDPF) algorithm in both complex polar and complex rectangular formulations. These algorithms incorporate the effect of weather by integrating the nonlinear heat balance model of conductors. A key distinction of the proposed algorithms is their ability to consider commonly available measured weather parameters to perform a fully-coupled weather-dependent PFA. The algorithmic differences and advantages of the proposed algorithms are also discussed in comparison to existing techniques. Extensive simulations of the IEEE 30-bus power network utilising the WDPF and TWDPF algorithms in comparison with the traditional PF is undertaken in this thesis to highlight the accuracy and advantages of the proposed algorithms. Significant differences in power system states, power losses, conductor loadings, and conductor temperatures are observed. Also, the computational complexity of the algorithms is investigated by simulating a wide range of networks. In addition to contributing to the improvements in PFA, an approach to perform weather-dependent TSA of single-machine infinite-bus (SMIB) system and multi-machine systems is also presented in this thesis. Therefore, this thesis also improves TSA by demonstrating the impacts of weather on TSA. Comparisons are made with existing TSA to highlight the impacts and benefits of incorporating weather information into TSA.

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Section: Overview Of Transient Stability Analysismentioning

confidence: 99%

Power System Analysis Incorporating Weather: Power Flow Analysis & Transient Stability Analysis

Ahmed¹

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Parallel‐in‐time method based on shifted‐picard iterations for power system ty‐ansient stability analysis

Brucoli¹,

Roma²,

Scala³

et al. 1994

Int Trans Elec Energy Syst

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The transient stability analysis is the most time‐consuming computer simulation in power system studies. For this reason, in recent years, parallel processing has been applied for implementing on‐line time‐domain simulations of power system transient behaviour. As is well known, the problem of power system transient simulation consists, basically, in the solution of an initial value problem for a mixed set of Ordinary Differential Equations (ODE) and algebraic equations. The objective of this paper is to present an algorithm based on Shifted‐Picard dynamic iterations, which solves the above mentioned set of non‐linear Differential Algebraic Equations (DAE) by the iterative solution of a linear set of DAE. This feature is important because the time behaviour of the linear set of differential equations can be obtained by the solution of an integral. In this case, a multiprocessor parallel‐in‐time implementation of such algorithms is possible because each processor is devoted to the evaluation of the required variables relative to each time step. Moreover, parallelism‐in‐time allows multigrid techniques to be implemented in a natural way. Test results on realistic‐sized power systems are presented.

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Metacomputing for on-line Stability Analysis in power systems: A proposal

Aloisio

Bochicchio

Scala

1996

High-Performance Computing and Networking

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Design of multiprocessor structures for simulation of power-system dynamics. Final report

Cited by 29 publications

References 0 publications

Power System Analysis Incorporating Weather: Power Flow Analysis & Transient Stability Analysis

Power System Analysis Incorporating Weather: Power Flow Analysis & Transient Stability Analysis

Parallel‐in‐time method based on shifted‐picard iterations for power system ty‐ansient stability analysis

Metacomputing for on-line Stability Analysis in power systems: A proposal

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