6.12
Case IV: Power cloud research and construction
Synopsis
:
1.
Smart grids power cloud architecture
2.
Multi-oriented power cloud construction
Characterized by information technologization, automation, and interaction, smart grids will
generate big data from six areas: power generation, transmission, substation, distribution,
electricity, and scheduling. The challenges for smart grids enterprises are to satisfy the
smart grids computation requirements of being fast, reliable, and secure. Cloud computing is
today’s forward-looking technology that provides a good storage and computing platforms
for smart grids. It can integrate smart grids’ hardware, software, and data resources to
enable the analysis and processing of big data. It can serve as a good backing for resolving
the real-time and complex computation issues in smart grids and to conduct unified
management. The integration of smart grids and cloud computing is of significance to our
times and will facilitate the optimization of the entire structure of the industry.
6.12.1
Power Cloud Research
The processing of the big data for smart grids includes data storage, real-time data
monitoring, decision support analysis, and integrated business applications. The grids’
real-time and various management data collected eventually will be converged at the
network data center, then via cloud computing, and provide all sorts of business
applications such as line loss analysis and calculation, equipment status and
maintenance, power transmission fault processing, grid planning and load forecasting.
The service and technology models of cloud computing is in alignment with the
development direction of the power industry’s information construction, integration and
optimization of heterogeneous resources of the traditional data center, and distributed
storage and management of the big data of smart grids. Thus, large-scale parallel
computations and analyses of the power system are conducted. Cloud computing
technology can effectively address the issue of scattered information resources and
imbalanced resource utilization in the power industry, boost resource utilization, reduce
the complexity and the costs of maintenance and operation management, improve the
efficiency of maintenance and operation, further the grids’ information technologization,
automation, interaction standards, and increase the capacity and quality of service (QoS)
in grid operation.
At the moment, achievements were attained on the research of power cloud. The basic
