Abstract

Cloud computing is a novel solution to deal with the problems of power system analysis raised by the expansion of power system and the interconnection among power grids. Introducing it to power system analysis, considering the development needs of computing resources and distributed applications, the possible applications of cloud computing in power system analysis are discussed, and the structure of power system analysis cloud platform is put forward. To validate the design, the Eucalyptus private cloud platform is established and the power system reliability assessment is deployed to the platform. Simulation results prove the feasibility and superiority of cloud computing in power system analysis.

Introduction

With the scale of the power system expanding and its structure growing more and more complex, it becomes increasingly difficult to achieve security assessment, stability control as well as economic operation in the grid. Meanwhile, the explosive growth of network data brought about by increasing grid interconnection, and coordination of the network information conducted by distributed renewable energy, have created a greater challenge to the traditional power system analysis platform. Currently the power system analysis is based on the local fixed cluster or grid of computers, which has limited computing power, poor scalability, high upgrade costs, and low network resource utilization. These drawbacks are yet not very prominent, as the existing SCADA system of the grid is restrained in the substation level when collecting data, where the data sampling frequency is low, and the requirements of the system data is still not high enough [1]. But with the data explosion brought about by the trend of intelligence, the above-mentioned drawbacks would seriously affect the development of the grid.