Models and considerations for parallel implementation of Monte Carlo simulation methods for power system reliability evaluation

Gubbala, N.; Singh, Chanan

doi:10.1109/59.387917

Cited by 38 publications

(13 citation statements)

References 6 publications

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“…Because MC simulations are time consuming and tedious, Gubbala and Singh [17] advocate the use of parallel processing techniques to speed up the process. 3 general task allocation topologies that can incorporate a convergence criterion are discussed.…”

Section: Previous Work On Reliabilitymentioning

confidence: 99%

Capacity credit evaluation: A literature review

Pudaruth¹,

Li²

2008

2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

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Section: Previous Work On Reliabilitymentioning

confidence: 99%

Capacity credit evaluation: A literature review

Pudaruth¹,

Li²

2008

2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

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“…Three methods of parallelizing sequential Monte Carlo simulation (MCS) for the reliability evaluation of power systems are presented in [37]. Detailed discussions regarding performance, advantages and disadvantages of all methods, and random number generation are provided.…”

Section: E Reliabilitymentioning

confidence: 99%

High performance computing for electric power systems: Applications and trends

Green

Wang

Alam

2011

2011 IEEE Power and Energy Society General Meeting

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The last significant works that made an effort to review and summarize the relationship between High Performance Computing (HPC) and Power Systems Analysis were published in the mid 1990's. Since that time significant changes have occurred in both fields. HPC has seen the maturation of cluster computing, the advent of multicore, the creation of Grid Computing, the rise of the GPU for general purpose computing and the gradual ending of Moore's law. Power systems have also changed and matured at a rapid pace through deregulation, the integration of renewable energy, the integration of distributed energy production and storage, concerns regarding climate change, and recent discussions concerning the smart grid. Considering the vast amount of change that has occurred in both industries, this work reviews ways in which HPC has been used in the field of power systems over the last 15 years while also identifying some emerging trends and suggesting possible future applications.

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“…Therefore, distributed systems are generally adopted when the problem to be solved is a composition of sub-problems, and/or is much larger in size and scope [14]. The use of distributed solutions in power system problems can be divided into two moments: first, when the resources of the distributed solutions are based on multiprocessor architecture with poor infrastructure for the communication process [15][16], and second, when a more specialized infrastructure for communication and interaction between autonomous computers arises and makes it possible to improve the coordination of tasks [3].…”

Section: A Ia Distributed Environmentmentioning

confidence: 99%

Modern computing environment for power system reliability assessment

Rosa

Miranda

Carvalho

et al. 2010

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems

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A natural movement towards artificial intelligence (AI) techniques took place in the last years in power system analysis. Many research works have used AI topics like search techniques, knowledge representation, reasoning and learning systems, as well as heuristic tools to address power system problems. This paper focuses the discussion on power system reliability evaluation and this natural transition from AI topics to a more sophisticated software design, known as intelligent agent (IA) technology. Instead of applying AI techniques to improve a single stage of the Monte Carlo Simulation (MCS), the IA architecture explores new ways to support AI topics. However, this natural movement needs to be managed through the proposal of a modern framework of power system tools, where several different techniques have to be combined in order to maximize each one's benefits and advantages.

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Models and considerations for parallel implementation of Monte Carlo simulation methods for power system reliability evaluation

Cited by 38 publications

References 6 publications

Capacity credit evaluation: A literature review

Capacity credit evaluation: A literature review

High performance computing for electric power systems: Applications and trends

Modern computing environment for power system reliability assessment

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