智能電網(wǎng)危險(xiǎn)源評(píng)價(jià)方法的研究
[Abstract]:With the development of economy and society, human activities have a great impact on the environment. Energy shortage, environmental pollution and climate deterioration have become a serious problem in the world. In addition, the process of electricity marketization continues to deepen, and the requirements of power reliability and quality are also increasing. The electric power industry is facing unprecedented challenges and opportunities. Building a more secure, reliable, environmentally friendly and economical power system has become the common goal of the global power industry. The smart grid also arises at the historic moment. As the greatest energy technology revolution in the 21st century, smart grid has become the hot spot and focus of innovation research in various countries. Smart grid is a perfect combination of modern science and technology, advanced management concept and traditional power grid. It is the inevitable choice to solve the problems of energy security and environment, to deal with global climate change and to realize the sustainable development of economy and society. The development of power grid intelligence is inseparable from the development of information network, automation and power system technology. At the same time, the construction of smart grid will promote the innovation of science and technology in our country, and promote the development of new strategic emerging industries such as new energy, new materials, new service and so on. With the construction of smart grid entering the substantive stage, the security problem in its operation has been paid more and more attention. On the basis of sufficient theoretical research, this paper constructs an evaluation index system of smart grid hazard sources, which may exist in the operation of smart grid. This paper puts forward the concept of risk degree and its measurement method, and based on the credibility theory, establishes the evaluation model of credibility entropy weight coefficient, and then combines with the actual situation. In this paper, the risk sources of smart grid in China are analyzed from two aspects of occurrence frequency and influence degree, and the dangerous degree of smart grid is calculated under the corresponding confidence interval. Finally, through the example analysis, this paper verifies the reliability entropy weight coefficient evaluation method is scientific and feasible, and puts forward the preliminary suggestion to the smart grid dangerous source monitoring, provides the theory and the method support for the smart grid security management.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F426.61;TM76
【參考文獻(xiàn)】
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