Adoptability of grid computing technology in power systems analysis, operations and control

Ali, Md. Mohsin; Dong, Zhaoyang; Zhang, P.

doi:10.1049/iet-gtd.2009.0076

Cited by 16 publications

(9 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Worldwide there are multiple grids in existence including the Teragrid, the Open Science grid, and GRIDPP which is being used to analyze data related to the Large Hadrion Collider. While the extensive computational power provided by this method of HPC has been utilized in some works that are reviewed here, it should also be noted that grid computing may apply to a wide range of other applications in power systems including monitoring and control, regulation, planning, load balancing, the integration of wind power, performance improvement, the integration of distributed generation as well as other applications [4], [5], [6], [7], [8], [9].…”

Section: Changes In Hpcmentioning

confidence: 99%

High performance computing for electric power systems: Applications and trends

Green

Wang

Alam

2011

2011 IEEE Power and Energy Society General Meeting

View full text Add to dashboard Cite

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.

show abstract

Section: Changes In Hpcmentioning

confidence: 99%

High performance computing for electric power systems: Applications and trends

Green

Wang

Alam

2011

2011 IEEE Power and Energy Society General Meeting

View full text Add to dashboard Cite

show abstract

“…The third layer covers all the resources available to the grid, such as storage, processing capabilities (CPUs), and other application-specific machines. Ali et al presented a suchlike architecture in [13,26], named RSA-Grid for power system reliability and security assessment purpose. The architecture is shown in GC has been well confirmed for its supercomputing capability in power systems.…”

Section: Gc Applications In Power Systemsmentioning

confidence: 99%

“…GC provides an effective approach in solving these computational-intensive and time-intensive problems. Several experiments had been unfolded with preferable efforts [26,29]. It is obviously that GC can provide better computational service superior to distributed/parallel computing.…”

Section: Reliability and Security Analysismentioning

confidence: 99%

“…Considering the particularity of electrical energy (i.e. it cannot be stored), GC could provide real-time access to disperse resources and serve power systems with very fast forecast results, thus balances the difference between generation and load demand [26,30]. In [14] and [15], two methods for electrical load balancing and hydro-thermal scheduling were shown, independently and GC based respectively.…”

Section: System Planning and Schedulingmentioning

confidence: 99%

See 1 more Smart Citation

An overview of grid computing application for distributed heterogeneous power systems: history, technologies, and prospect

Chen

Chung

Luo

et al. 2009

8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009)

Self Cite

View full text Add to dashboard Cite

With the large-scale interconnection of power systems, the control and operation among geographically distributed, structurally heterogeneous and autonomous power systems becomes increasingly complicated. Grid Computing (GC) is a novel technology for integration and management of computing resources from multiple administrative domains applied to a common task, especially for problems which are computational-intensive or/and data-intensive. This paper gives a review of the research activities of recent years in the field of GC application to power system problems, along with an introduction to the technologies utilized in GC research and application. The opportunities and challenges of GC for future smart power systems are also discussed.

show abstract

“…For example, early on, Ili [15] was concerned with the fundamental engineering planning and operation of an interconnected grid to achieve high energy efficiency given the dynamicity and uncertain changes in the generation and load inputs. In [16], Ali et al presented a review of previous research done on the use of high performance computing in power system reliability and security analysis, operations, monitoring and control systems. In the area of modern control centers for Smart Grid [17], Pradeepa et al proposed an information architecture design for power system control centers which are based on open standards focusing on desired features such as openness, interoperability, flexibility, scalability, vendor independence and event orientation.…”

Section: Introductionmentioning

confidence: 99%

A PEV Charging Service Model for Smart Grids

et al. 2012

View full text Add to dashboard Cite

Plug-in Electric Vehicles (PEVs) are envisioned to be more popular during the next decade as part of Smart Grid implementations. Charging multiple PEVs at the same time within a power distribution area constitutes a major challenge for energy service providers. This paper discusses a priority-based approach for charging PEVs in a Smart Grid environment. In this work, ideas from the communication network paradigm are being utilized and tailored toward achieving the desired objective of monitoring and controlling PEVs electric load in Smart Grid. A detailed example is given to show how uncontrolled penetration of PEVs can impact distribution transformer reliability. The paper introduces the concept of Charging Quality of Service (CQoS) as a smart electric vehicle charging scheme and models it using a priority-controlled leaky bucket approach. The performance of such a model is investigated under the umbrella of a Smart Grid environment.

show abstract

Adoptability of grid computing technology in power systems analysis, operations and control

Cited by 16 publications

References 8 publications

High performance computing for electric power systems: Applications and trends

High performance computing for electric power systems: Applications and trends

An overview of grid computing application for distributed heterogeneous power systems: history, technologies, and prospect

A PEV Charging Service Model for Smart Grids

Contact Info

Product

Resources

About